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Riley-Gibson E, Hall A, Shoesmith A, Wolfenden L, Shelton RC, Doherty E, Pollock E, Booth D, Salloum RG, Laur C, Powell BJ, Kingsland M, Lane C, Hailemariam M, Sutherland R, Nathan N. A systematic review to determine the effect of strategies to sustain chronic disease prevention interventions in clinical and community settings: study protocol. Syst Rev 2024; 13:129. [PMID: 38725053 PMCID: PMC11084058 DOI: 10.1186/s13643-024-02541-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 04/23/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND The primary purpose of this review is to synthesise the effect of strategies aiming to sustain the implementation of evidenced-based interventions (EBIs) targeting key health behaviours associated with chronic disease (i.e. physical inactivity, poor diet, harmful alcohol use, and tobacco smoking) in clinical and community settings. The field of implementation science is bereft of an evidence base of effective sustainment strategies, and as such, this review will provide important evidence to advance the field of sustainability research. METHODS This systematic review protocol is reported in accordance with the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) checklist. Methods will follow Cochrane gold-standard review methodology. The search will be undertaken across multiple databases, adapting filters previously developed by the research team, data screening and extraction will be performed in duplicate, strategies will be coded using an adapted sustainability-explicit taxonomy, and evidence will be synthesised using appropriate methods (i.e. meta-analytic following Cochrane or non-meta-analytic following SWiM guidelines). We will include any randomised controlled study that targets any staff or volunteers delivering interventions in clinical or community settings. Studies which report on any objective or subjective measure of the sustainment of a health prevention policy, practice, or programme within any of the eligible settings will be included. Article screening, data extraction, risk of bias, and quality assessment will be performed independently by two review authors. Risk of bias will be assessed using Version 2 of the Cochrane risk-of-bias tool for randomised trials (RoB 2). A random-effect meta-analysis will be conducted to estimate the pooled effect of sustainment strategies separately by setting (i.e. clinical and community). Sub-group analyses will be undertaken to explore possible causes of statistical heterogeneity and may include the following: time period, single or multi-strategy, type of setting, and type of intervention. Differences between sub-groups will be statistically compared. DISCUSSION/CONCLUSION This will be the first systematic review to determine the effect of strategies designed to support sustainment on sustaining the implementation of EBIs in clinical and community settings. The findings of this review will directly inform the design of future sustainability-focused implementation trials. Further, these findings will inform the development of a sustainability practice guide for public health practitioners. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022352333.
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Affiliation(s)
- Edward Riley-Gibson
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia.
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia.
| | - Alix Hall
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Adam Shoesmith
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Rachel C Shelton
- Department of Sociomedical Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Emma Doherty
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Emma Pollock
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Debbie Booth
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Ramzi G Salloum
- Department of Health Outcomes & Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Celia Laur
- Women's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, 76 Grenville StreetOntario, M5S 1B2, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Health Sciences Building, 155 College Street, Suite 425, Toronto, ON, M5T 3M6, Canada
| | - Byron J Powell
- Center for Mental Health Services Research, Brown School, Washington University in St. Louis, St. Louis, MO, USA
- Center for Dissemination and Implementation, Institute for Public Health, Washington University in St. Louis, St. Louis, MO, USA
- Division of Infectious Diseases, John T. Milliken Department of Medicine, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Melanie Kingsland
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Cassandra Lane
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Maji Hailemariam
- Division of Public Health, College of Human Medicine, Michigan State University, Flint, MI, USA
| | - Rachel Sutherland
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
| | - Nicole Nathan
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Local Health District, Hunter New England Population Health, Newcastle, NSW, 2287, Australia
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Gómez-García AR, Chang AH, Valenzuela-Mendieta RO, García-Arroyo JA. Leaving no-one behind in the workplace health promotion: towards regulatory equity in the Ecuadorian micro-enterprises. J Public Health Policy 2024; 45:152-163. [PMID: 38233505 DOI: 10.1057/s41271-023-00466-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/28/2023] [Indexed: 01/19/2024]
Abstract
The purpose of workplace public health programmes and regulations is to promote safety and health for the entire working population nationwide. Some countries limit the scope of such programmes to medium or big-sized companies, leaving out small and micro-enterprises, thus discriminating against many workers exposed to risks. This Viewpoint aims to identify inequalities in occupational health generated by the new Regulation for Workplace Health Promotion (WHP) in Ecuador. We showed how the regulation excludes all micro-enterprises and displayed the essential role of micro-enterprises in the business fabric and the Ecuadorian labour market. More than 93% of the registered companies are micro-enterprises and these include more than 25% of the employees in the formal economy. Integrating occupational health into the public health system will require deep analysis to improve protection for the working population.
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Affiliation(s)
| | - Alywin Hacay Chang
- Universidad Espíritu Santo UEES, Samborondón Avenue 5, Samborondón, 092301, Ecuador
- Universidad Politécnica de Valencia, Valencia, Spain
| | | | - José A García-Arroyo
- Universidad Espíritu Santo UEES, Samborondón Avenue 5, Samborondón, 092301, Ecuador.
- Universidad Internacional de la Rioja (UNIR), La Rioja, Spain.
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Metzendorf MI, Wieland LS, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database Syst Rev 2024; 2:CD013591. [PMID: 38375882 PMCID: PMC10877670 DOI: 10.1002/14651858.cd013591.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Obesity is considered to be a risk factor for various diseases, and its incidence has tripled worldwide since 1975. In addition to potentially being at risk for adverse health outcomes, people with overweight or obesity are often stigmatised. Behaviour change interventions are increasingly delivered as mobile health (m-health) interventions, using smartphone apps and wearables. They are believed to support healthy behaviours at the individual level in a low-threshold manner. OBJECTIVES To assess the effects of integrated smartphone applications for adolescents and adults with overweight or obesity. SEARCH METHODS We searched CENTRAL, MEDLINE, PsycINFO, CINAHL, and LILACS, as well as the trials registers ClinicalTrials.gov and World Health Organization International Clinical Trials Registry Platform on 2 October 2023 (date of last search for all databases). We placed no restrictions on the language of publication. SELECTION CRITERIA Participants were adolescents and adults with overweight or obesity. Eligible interventions were integrated smartphone apps using at least two behaviour change techniques. The intervention could target physical activity, cardiorespiratory fitness, weight loss, healthy diet, or self-efficacy. Comparators included no or minimal intervention (NMI), a different smartphone app, personal coaching, or usual care. Eligible studies were randomised controlled trials of any duration with a follow-up of at least three months. DATA COLLECTION AND ANALYSIS We used standard Cochrane methodology and the RoB 2 tool. Important outcomes were physical activity, body mass index (BMI) and weight, health-related quality of life, self-efficacy, well-being, change in dietary behaviour, and adverse events. We focused on presenting studies with medium- (6 to < 12 months) and long-term (≥ 12 months) outcomes in our summary of findings table, following recommendations in the core outcome set for behavioural weight management interventions. MAIN RESULTS We included 18 studies with 2703 participants. Interventions lasted from 2 to 24 months. The mean BMI in adults ranged from 27 to 50, and the median BMI z-score in adolescents ranged from 2.2 to 2.5. Smartphone app versus no or minimal intervention Thirteen studies compared a smartphone app versus NMI in adults; no studies were available for adolescents. The comparator comprised minimal health advice, handouts, food diaries, smartphone apps unrelated to weight loss, and waiting list. Measures of physical activity: at 12 months' follow-up, a smartphone app compared to NMI probably reduces moderate to vigorous physical activity (MVPA) slightly (mean difference (MD) -28.9 min/week (95% confidence interval (CI) -85.9 to 28; 1 study, 650 participants; moderate-certainty evidence)). We are very uncertain about the results of estimated energy expenditure and cardiorespiratory fitness at eight months' follow-up. A smartphone app compared with NMI probably results in little to no difference in changes in total activity time at 12 months' follow-up and leisure time physical activity at 24 months' follow-up. Anthropometric measures: a smartphone app compared with NMI may reduce BMI (MD of BMI change -2.6 kg/m2, 95% CI -6 to 0.8; 2 studies, 146 participants; very low-certainty evidence) at six to eight months' follow-up, but the evidence is very uncertain. At 12 months' follow-up, a smartphone app probably resulted in little to no difference in BMI change (MD -0.1 kg/m2, 95% CI -0.4 to 0.3; 1 study; 650 participants; moderate-certainty evidence). A smartphone app compared with NMI may result in little to no difference in body weight change (MD -2.5 kg, 95% CI -6.8 to 1.7; 3 studies, 1044 participants; low-certainty evidence) at 12 months' follow-up. At 24 months' follow-up, a smartphone app probably resulted in little to no difference in body weight change (MD 0.7 kg, 95% CI -1.2 to 2.6; 1 study, 245 participants; moderate-certainty evidence). A smartphone app compared with NMI may result in little to no difference in self-efficacy for a physical activity score at eight months' follow-up, but the results are very uncertain. A smartphone app probably results in little to no difference in quality of life and well-being at 12 months (moderate-certainty evidence) and in little to no difference in various measures used to inform dietary behaviour at 12 and 24 months' follow-up. We are very uncertain about adverse events, which were only reported narratively in two studies (very low-certainty evidence). Smartphone app versus another smartphone app Two studies compared different versions of the same app in adults, showing no or minimal differences in outcomes. One study in adults compared two different apps (calorie counting versus ketogenic diet) and suggested a slight reduction in body weight at six months in favour of the ketogenic diet app. No studies were available for adolescents. Smartphone app versus personal coaching Only one study compared a smartphone app with personal coaching in adults, presenting data at three months. Two studies compared these interventions in adolescents. A smartphone app resulted in little to no difference in BMI z-score compared to personal coaching at six months' follow-up (MD 0, 95% CI -0.2 to 0.2; 1 study; 107 participants). Smartphone app versus usual care Only one study compared an app with usual care in adults but only reported data at three months on participant satisfaction. No studies were available for adolescents. We identified 34 ongoing studies. AUTHORS' CONCLUSIONS The available evidence is limited and does not demonstrate a clear benefit of smartphone applications as interventions for adolescents or adults with overweight or obesity. While the number of studies is growing, the evidence remains incomplete due to the high variability of the apps' features, content and components, which complicates direct comparisons and assessment of their effectiveness. Comparisons with either no or minimal intervention or personal coaching show minor effects, which are mostly not clinically significant. Minimal data for adolescents also warrants further research. Evidence is also scarce for low- and middle-income countries as well as for people with different socio-economic and cultural backgrounds. The 34 ongoing studies suggest sustained interest in the topic, with new evidence expected to emerge within the next two years. In practice, clinicians and healthcare practitioners should carefully consider the potential benefits, limitations, and evolving research when recommending smartphone apps to adolescents and adults with overweight or obesity.
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Affiliation(s)
- Maria-Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - L Susan Wieland
- Center for Integrative Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Nagasawa T, Saito J, Odawara M, Kaji Y, Yuwaki K, Imamura H, Nogi K, Nakamura M, Shimazu T. Smoking cessation interventions and implementations across multiple settings in Japan: a scoping review and supplemental survey. Implement Sci Commun 2023; 4:146. [PMID: 37993908 PMCID: PMC10666296 DOI: 10.1186/s43058-023-00517-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/28/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND Smoking is the leading risk factor for death worldwide. In Japan, although several evidence-based interventions (EBIs) for smoking cessation have been disseminated or adopted, there is a gap between scientific evidence and the actual implementation. This scoping review aimed to describe the knowledge gaps in local-level smoking cessation interventions in Japan, their implementation outcomes, implementation barriers and facilitators, and the use of implementation strategies. METHODS This study comprised two approaches: (1) a comprehensive scoping review of primary and grey literature, and (2) a supplemental survey of organizations in the grey literature. For the scoping review, we included original studies or reports on smoking cessation interventions targeting adults aged 18 years and older, or providers of cessation support at various settings (community, workplace, school, and clinical settings) in Japan. The extracted data included basic characteristics, intervention categories, implementation outcomes, factors influencing implementation, and implementation strategies for each intervention. Responses to the supplemental survey were extracted same used for the scoping review. To gain a deeper understanding, semi-structured interviews were conducted with some of the organizations in the survey. RESULTS A total of 600 interventions with 691 intervention components, based on EBIs in the 2020 US Surgeon General Report, from 498 articles were included in the data extraction; 32 of the 88 organizations responded to the survey. Regarding the overall knowledge about smoking cessation intervention components, behavioral counseling, and cessation medication in clinical settings were mostly reported (34.7%). Implementation outcomes were measured in 18 articles (3.0%) and penetration was mostly reported. Regarding influential factors, "available resources," and "knowledge and beliefs about the intervention" for barriers, and "relative priority" for facilitators were mostly reported. Implementation strategies were measured in 29 articles (4.8%), and "Train and educate stakeholders" was mostly reported. CONCLUSIONS Most EBIs reported in the Japanese literature included smoking cessation treatments in clinical settings. While a few articles focused on the implementation indicators in Japan, significant knowledge and experience were extracted from the grey literature, especially in the workplace and community settings. Future research should focus more on implementation to reduce the knowledge gap regarding smoking cessation interventions.
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Affiliation(s)
- Tomomi Nagasawa
- Department of Health Communication, Graduate School of Medicine, The University of Tokyo, Bunkyo-Ku, Tokyo, Japan
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Chuo-Ku, Tokyo, Japan
| | - Junko Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Chuo-Ku, Tokyo, Japan
| | - Miyuki Odawara
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Chuo-Ku, Tokyo, Japan
| | - Yuki Kaji
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Chuo-Ku, Tokyo, Japan
| | - Keiichi Yuwaki
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Chuo-Ku, Tokyo, Japan
- Department of Cancer Epidemiology, Graduate School of Medicine, The University of Tokyo, Bunkyo-Ku, Tokyo, Japan
| | - Haruhiko Imamura
- Graduate School of Health and Nutrition Sciences, The University of Nagano, Nagano City, Nagano, Japan
- Department of Environmental and Occupational Health, School of Medicine, Toho University, Ota-Ku, Tokyo, Japan
| | - Kazuya Nogi
- Department of Environmental and Occupational Health, Toho University Graduate School of Medicine, Ota-Ku, Tokyo, Japan
| | - Masakazu Nakamura
- Health Promotion Research Center, Institute of Community Medicine, Japan Association for Development of Community Medicine, Chiyoda-Ku, Tokyo, Japan
| | - Taichi Shimazu
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, Chuo-Ku, Tokyo, Japan.
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Pitt Barnes S, Lang JE. Supporting School Staff: Insights From Employee Health and Well-Being Programs. THE JOURNAL OF SCHOOL HEALTH 2023; 93:842-852. [PMID: 37670593 DOI: 10.1111/josh.13377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/22/2023] [Indexed: 09/07/2023]
Abstract
BACKGROUND The workplace is an important setting for health protection, health promotion, and disease prevention programs. In the school setting, employee health and well-being programs can address many physical and emotional concerns of school staff. This systematic review summarizes evidence-based approaches from employee health and well-being interventions supporting nutrition and physical activity (PA) in a variety of workplace settings. METHODS The 2-phase systematic review included a search for articles within systematic reviews that met our criteria (addressing employee health and well-being programs; published 2010-2018; Phase 1) and the identification of individual articles from additional searches (addressing school-based employee interventions; published 2010-2020; Phase 2). We included 35 articles. FINDINGS Across all studies and types of interventions and workplace settings, findings were mixed; however, multicomponent interventions appeared to improve health behaviors and health outcomes among employees. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY Schools can apply this evidence from employee health and well-being programs in various workplace settings to implement coordinated and comprehensive employee health and well-being programs. CONCLUSIONS Employee health and well-being programs may be effective at supporting nutrition and PA. Schools can use findings from employee health and well-being programs in workplaces other than schools to support school staff.
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Affiliation(s)
- Seraphine Pitt Barnes
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
| | - Jason E Lang
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA
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Elling DL, Almquist YB, Wennberg P, Sundqvist K. Effects of a multi-component alcohol prevention program in the workplace on hazardous alcohol use among employees. BMC Public Health 2023; 23:1420. [PMID: 37488547 PMCID: PMC10367231 DOI: 10.1186/s12889-023-16150-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/19/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND The workplace can be affected negatively by hazardous alcohol use, and intervening at an early stage remains a challenge. Recently, a multi-component alcohol prevention program, Alcohol Policy and Managers' skills Training (hereafter, 'APMaT'), was delivered at the organizational level. In a previous outcome evaluation, APMaT appeared to be effective at the managerial level. The current study takes a step further by aiming to evaluate the effectiveness of APMaT in decreasing the alcohol risk level among employees. METHODS Data from 853 employees (control: n = 586; intervention: n = 267) were gathered through a cluster-randomized study. To analyze changes in the odds of hazardous alcohol use among employees, multilevel logistic regression was applied using group (control vs. intervention), time (baseline vs. 12-month follow-up), and the multiplicative interaction term (group × time) as the main predictors. The intervention effect was further adjusted for sociodemographic characteristics and policy awareness. RESULTS No statistically significant difference was observed in the odds of hazardous alcohol use, although employees in the intervention group showed a larger decrease compared to the control group. This remained even after adjusting for several factors, including the sociodemographic factors and policy awareness. CONCLUSIONS The findings are insufficient to determine the effectiveness of APMaT at the employee level at the current stage of the evaluation. Future studies should strive to identify issues with implementation processes in workplace-based alcohol interventions. TRIAL REGISTRATION The trial was retrospectively registered on 11/10/2019; ISCRTN ID: ISRCTN17250048.
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Affiliation(s)
- Devy L Elling
- Department of Public Health Sciences, Stockholm University, Stockholm, SE-106 91, Sweden.
| | - Ylva B Almquist
- Department of Public Health Sciences, Stockholm University, Stockholm, SE-106 91, Sweden
| | - Peter Wennberg
- Department of Public Health Sciences, Stockholm University, Stockholm, SE-106 91, Sweden
- Department of Global Public Health, Karolinska Institutet, Stockholm, SE-171 77, Sweden
| | - Kristina Sundqvist
- Department of Psychology, Stockholm University, Stockholm, SE-106 91, Sweden
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Schaller N, Blume K, Hornig M, Senker L, Wolfarth B, Schuster T, Halle M, Esefeld K. Occupational life-style programme over 12 months and changes of metabolic risk profile, vascular function, and physical fitness in blue-collar workers. J Occup Med Toxicol 2023; 18:4. [PMID: 36949505 PMCID: PMC10031996 DOI: 10.1186/s12995-023-00370-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 03/07/2023] [Indexed: 03/24/2023] Open
Abstract
PURPOSE Occupational health programmes have been successfully implemented to improve body composition, physical fitness and cardiovascular risk. However, most programmes have been small and have not included long-term evaluation. Therefore, we evaluated a twelve-month life-style change programme in a German refinery. METHODS We offered a supervised six-week endurance exercise programme (2 × 90 min/week), starting after a two-day life-style seminar. After the active intervention and a half-day refresher seminar, employees were encouraged to continue exercising over one year on their own, with monthly supervised sessions to maintain adherence. Anthropometry, bicycle ergometry, cardio-metabolic risk profile, inflammatory parameters, and vascular function e.g. endothelial function was studied at baseline, after three and after twelve months. RESULTS Of 550 employees, n = 327 (age 40.8 ± 9.7 years, 88% males) participated in the study. Twelve-month intervention was associated with a reduced waist circumference (92.6 ± 12.2 to 90.8 ± 11.7 cm, 95% confidence interval for the mean change (CI): -2.5 to -1.1 cm) and a gain in maximal exercise capacity (202 ± 39.6 to 210 ± 38.9 Watt; 95% CI: + 5.1 to + 10.9 Watt). Metabolic and inflammatory parameters likewise HbA1c and C-reactive protein improved in central tendency at a local 95% level of confidence. Vascular function e.g. Reactive-Hyperaemia-Index revealed a slight reduction, whereas no statistically robust changes in mean Cardio-Ankle-Vascular-Index and mean Ankle-Brachial-Index were observed. CONCLUSION Health education added by a six-week supervised exercise programme was associated with minor long-term twelve-month improvements of body composition as well as physical fitness and a concomitant improvement of inflammatory state. These changes were, however, not clinically relevant and not accompanied by statistically robust improvements of vascular function. TRIAL REGISTRATION ClinTrialsGov: NCT01919632; date of registration: August 9, 2013; retrospectively registered.
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Affiliation(s)
- Nina Schaller
- Department of Prevention, Rehabilitation and Sports Medicine, University Hospital (Klinikum rechts der Isar), Technical University of Munich, Georg-Brauchle-Ring 56, 80992, Munich, Germany.
| | - Katharina Blume
- Department of Prevention, Rehabilitation and Sports Medicine, University Hospital (Klinikum rechts der Isar), Technical University of Munich, Georg-Brauchle-Ring 56, 80992, Munich, Germany
- Department of Sports Medicine, Humboldt-University, Charité University Medicine, Berlin, Germany
| | - Markus Hornig
- Moving - Gesundheitsmanagement GmbH, Berlin, Germany
| | - Ludger Senker
- Occupational Medicine Centers Northwest e.V. (Arbeitsmedizinische Zentren Nordwest e.V.), AMZ Lingen (Ems), Nordhorn, Germany
- BP Europa SE, Lingen Refinery, Lingen (Ems), Germany
| | - Bernd Wolfarth
- Department of Prevention, Rehabilitation and Sports Medicine, University Hospital (Klinikum rechts der Isar), Technical University of Munich, Georg-Brauchle-Ring 56, 80992, Munich, Germany
- Department of Sports Medicine, Humboldt-University, Charité University Medicine, Berlin, Germany
- Department of Sports Medicine, Institute for Applied Scientific Training, Leipzig, Germany
| | - Tibor Schuster
- Department of Family Medicine, McGill University, Montreal, QC, Canada
| | - Martin Halle
- Department of Prevention, Rehabilitation and Sports Medicine, University Hospital (Klinikum rechts der Isar), Technical University of Munich, Georg-Brauchle-Ring 56, 80992, Munich, Germany
- DZHK (Deutsches Zentrum für Herz-Kreislauf-Forschung), Partner Site Munich, Munich Heart Alliance, Munich, Germany
| | - Katrin Esefeld
- Department of Prevention, Rehabilitation and Sports Medicine, University Hospital (Klinikum rechts der Isar), Technical University of Munich, Georg-Brauchle-Ring 56, 80992, Munich, Germany
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Poznańska A, Lewtak K, Wojtyniak B, Stokwiszewski J, Moskalewicz B. Clustering of the Adult Population According to Behavioural Health Risk Factors as the Focus of Community-Based Public Health Interventions in Poland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4402. [PMID: 36901412 PMCID: PMC10002111 DOI: 10.3390/ijerph20054402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 06/18/2023]
Abstract
Effective lifestyle health promotion interventions require the identification of groups sharing similar behavioural risk factors (BRF) and socio-demographic characteristics. This study aimed to identify these subgroups in the Polish population and check whether local authorities' health programmes meet their needs. Population data came from a 2018 question survey on a random representative sample of 3000 inhabitants. Four groups were identified with the TwoStep cluster analysis method. One of them ("Multi-risk") differed from the others and the general population by a high prevalence of numerous BRF: 59% [95% confidence interval: 56-63%] of its members smoke, 35% [32-38%] have alcohol problems, 79% [76-82%] indulge in unhealthy food, 64% [60-67%] do not practice recreational physical activity, and 73% [70-76%] are overweight. This group, with an average age of 50, was characterised by an excess of males (81% [79-84%]) and people with basic vocational education (53% [50-57%]). In 2018, only 40 out of all 228 health programmes in Poland addressed BRF in adults; only 20 referred to more than one habit. Moreover, access to these programmes was limited by formal criteria. There were no programmes dedicated to the reduction of BRF exclusively. The local governments focused on improving access to health services rather than on a pro-health change in individual behaviours.
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Affiliation(s)
- Anna Poznańska
- Department of Population Health Monitoring and Analysis, National Institute of Public Health NIH—National Research Institute, 24 Chocimska Street, 00-791 Warsaw, Poland
| | - Katarzyna Lewtak
- Department of Social Medicine and Public Health, Medical University of Warsaw, 3 Oczki Street, 02-007 Warsaw, Poland
- Department of Health Promotion and Chronic Diseases Prevention, National Institute of Public Health NIH—National Research Institute, 00-791 Warsaw, Poland
| | - Bogdan Wojtyniak
- Department of Population Health Monitoring and Analysis, National Institute of Public Health NIH—National Research Institute, 24 Chocimska Street, 00-791 Warsaw, Poland
| | - Jakub Stokwiszewski
- Department of Population Health Monitoring and Analysis, National Institute of Public Health NIH—National Research Institute, 24 Chocimska Street, 00-791 Warsaw, Poland
| | - Bożena Moskalewicz
- Department of Population Health Monitoring and Analysis, National Institute of Public Health NIH—National Research Institute, 24 Chocimska Street, 00-791 Warsaw, Poland
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Magnavita N. Workplace Health Promotion Embedded in Medical Surveillance: The Italian Way to Total Worker Health Program. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3659. [PMID: 36834352 PMCID: PMC9968016 DOI: 10.3390/ijerph20043659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
In 2011, NIOSH launched the Total Worker Health (TWH) strategy based on integrating prevention and health promotion in the workplace. For several years now, in Italy, this integration has led to the creation of workplace health promotion embedded in medical surveillance (WHPEMS). WHPEMS projects, which are also implemented in small companies, focus each year on a new topic that emerges from the needs of workers. During their regular medical check-up in the workplace, workers are invited to fill in a questionnaire regarding the project topic, its outcome, and some related factors. Workers receive advice on how to improve their lifestyles and are referred to the National Health Service for any necessary tests or treatments. Results collected over the past 12 years from more than 20,000 participants demonstrate that WHPEMS projects are economical, sustainable, and effective. The creation of a network of occupational physicians who are involved in WHPEMS projects could help to improve the work culture, health, and safety of workers.
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Affiliation(s)
- Nicola Magnavita
- Post-Graduate School of Occupational Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; ; Tel.: +39-347-330-0367
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
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10
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Campmans JMD, Smit DJM, van Oostrom SH, Engels JA, Proper KI. Barriers and facilitators to the implementation of workplace health promotion programs: Employers' perceptions. Front Public Health 2023; 10:1035064. [PMID: 36711336 PMCID: PMC9879575 DOI: 10.3389/fpubh.2022.1035064] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/25/2022] [Indexed: 01/14/2023] Open
Abstract
Background Workplace health promotion programs (WHPPs) can benefit the lifestyle and health of employees. However, not all WHPPs have been successful in their implementation, and thus their effectiveness. This study aimed to identify the barriers and facilitators to implementing an integrated WHPP, which targets multiple lifestyle factors at different levels (individual and organizational), from an employer's perspective. Methods Data were collected by two online focus groups among 18 representatives of eight different organizations. Data from the focus group discussions were transcribed verbatim and analyzed using thematic analysis. Data were coded both inductively and deductively, using the Consolidated Framework for Implementation Research (CFIR) consisting of the following five domains: (1) intervention characteristics, (2) outer setting, (3) inner setting, (4) characteristics of individuals, and (5) process. Ratings were performed to indicate the positive or negative influence and strength of a construct regarding the implementation of WHPPs. Results Barriers and facilitators in all domains of the CFIR were found. Regarding characteristics of the WHPP, complexity and costs hindered implementation, while high adaptability facilitated it. An organization that met the needs of employees (the outer setting) facilitated implementation. Available resources, access to knowledge, leadership involvement, and continuity of communication were facilitators within the inner setting. Barriers were different approaches to implementation within one organization and the perceived interference with employees' lives. For the implementation process, the involvement of key stakeholders, including employees, was identified as an important facilitator. Conclusion Various barriers and facilitators in different domains play a role in the implementation of integrated WHPPs, according to employers. Strategies that tackle the identified barriers and incorporate the facilitators will likely contribute to the successful implementation of integrated WHPPs.
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Affiliation(s)
- Jennifer M. D. Campmans
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Denise J. M. Smit
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands,Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands,*Correspondence: Denise J. M. Smit ✉
| | - Sandra H. van Oostrom
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Josephine A. Engels
- Occupation & Health Research Group, HAN University of Applied Sciences, Nijmegen, Netherlands
| | - Karin I. Proper
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands,Department of Public and Occupational Health, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
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11
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Tzenetidis V, Kotsakis A, Gouva M, Tsaras K, Malliarou M. THE RELATIONSHIP BETWEEN PSYCHOSOCIAL WORK ENVIRONMENT AND NURSES' PERFORMANCE, ON STUDIES THAT USED THE VALIDATED INSTRUMENT COPENHAGEN PSYCHOSOCIAL QUESTIONNAIRE (COPSOQ): AN EMPTY SCOPING REVIEW. POLSKI MERKURIUSZ LEKARSKI : ORGAN POLSKIEGO TOWARZYSTWA LEKARSKIEGO 2023; 51:417-422. [PMID: 37756463 DOI: 10.36740/merkur202304117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
OBJECTIVE Aim: This study was to map the relationship between psychosocial work environment and nurses' performance, on studies that used the Copenhagen Psychosocial Questionnaire (COPSOQ). PATIENTS AND METHODS Materials and Methods: The review intended to answer following questions: 'Can COPSOQ screen completely psychosocial risks of nurses' work environment?' 'Which of these dimensions affect more nurses psychosocial world? A scoping review was developed guided by the JBI methodology and using PRISMA-ScR. CONCLUSION Conclusions: Hospital workers, and in particular nurses, are exposed to different risk factors with the most important being psychosocial risks. These arise from problematic work planning, organization and management, as well as from an unhealthy social context of work and may lead to negative psychological, physical and social outcomes. The review highlighted the need for further research using the entire COPSOQ questionnaire in order to fully study the psychosocial risks that nurses face in their work environment.
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Affiliation(s)
| | | | - Mary Gouva
- UNIVERSITY OF IOANNINA, IOANNINA, GREECE
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12
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Doherty E, Kingsland M, Wiggers J, Wolfenden L, Hall A, McCrabb S, Tremain D, Hollis J, Licata M, Wynne O, Dilworth S, Daly JB, Tully B, Dray J, Bailey KA, Elliott EJ, Hodder RK. The effectiveness of implementation strategies in improving preconception and antenatal preventive care: a systematic review. Implement Sci Commun 2022; 3:121. [PMID: 36419177 PMCID: PMC9682815 DOI: 10.1186/s43058-022-00368-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/03/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Clinical guideline recommendations for addressing modifiable risk factors are not routinely implemented into preconception and antenatal care. This review assessed the effectiveness of implementation strategies in improving health professional provision of preconception and antenatal care addressing tobacco smoking, weight management and alcohol consumption. METHODS A systematic review of randomised and non-randomised studies with a parallel comparison group was conducted. Eligible studies used implementation strategy/ies targeted at health professionals to improve at least one element of preconception and/or antenatal care (smoking: ask, advise, assess, assist, arrange; weight/alcohol: assess, advise, refer) compared to usual practice/control or alternative strategies. Eligible studies were identified via CENTRAL, MEDLINE, EMBASE, Maternity and Infant Care, CINAHL and other sources. Random-effects meta-analyses were conducted where appropriate, with other findings summarised using the direction of effect. The certainty of the pooled evidence was assessed using the GRADE approach. RESULTS Fourteen studies were included in the review. Thirteen were in the antenatal period and 12 tested multiple implementation strategies (median: three). Meta-analyses of RCTs found that implementation strategies compared to usual practice/control probably increase asking (OR: 2.52; 95% CI: 1.13, 5.59; 3 studies; moderate-certainty evidence) and advising (OR: 4.32; 95% CI: 3.06, 6.11; 4 studies; moderate-certainty evidence) about smoking and assessing weight gain (OR: 57.56; 95% CI: 41.78, 79.29; 2 studies; moderate-certainty evidence), and may increase assessing (OR: 2.55; 95% CI: 0.24, 27.06; 2 studies; low-certainty evidence), assisting (OR: 6.34; 95% CI: 1.51, 26.63; 3 studies; low-certainty evidence) and arranging support (OR: 3.55; 95% CI: 0.50, 25.34; 2 studies; low-certainty evidence) for smoking. The true effect of implementation strategies in increasing advice about weight gain (OR: 3.37; 95% CI: 2.34, 4.84; 2 non-randomised studies; very low-certainty evidence) and alcohol consumption (OR: 10.36; 95% CI: 2.37, 41.20; 2 non-randomised studies; very low-certainty evidence) is uncertain due to the quality of evidence to date. CONCLUSIONS Review findings provide some evidence to support the effectiveness of implementation strategies in improving health professional delivery of antenatal care addressing smoking and weight management. Rigorous research is needed to build certainty in the evidence for improving alcohol and weight gain advice, and in preconception care. TRIAL REGISTRATION PROSPERO-CRD42019131691.
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Affiliation(s)
- Emma Doherty
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Melanie Kingsland
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - John Wiggers
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia ,National Centre of Implementation Science, Wallsend, NSW 2287 Australia
| | - Luke Wolfenden
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia ,National Centre of Implementation Science, Wallsend, NSW 2287 Australia
| | - Alix Hall
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Sam McCrabb
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Danika Tremain
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
| | - Jenna Hollis
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Milly Licata
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Olivia Wynne
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Sophie Dilworth
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Justine B. Daly
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia
| | - Belinda Tully
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia
| | - Julia Dray
- grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia
| | - Kylie A. Bailey
- grid.266842.c0000 0000 8831 109XSchool of Psychological Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW Australia
| | - Elizabeth J. Elliott
- grid.1013.30000 0004 1936 834XFaculty of Medicine and Health and Discipline of Child and Adolescent Health, The University of Sydney, Camperdown, NSW 2006 Australia ,grid.413973.b0000 0000 9690 854XSydney Children’s Hospital Network, Kids’ Research Institute, Westmead, NSW 2145 Australia
| | - Rebecca K. Hodder
- grid.3006.50000 0004 0438 2042Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, NSW 2287 Australia ,grid.266842.c0000 0000 8831 109XSchool of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, NSW Australia ,grid.413648.cPopulation Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW 2305 Australia ,National Centre of Implementation Science, Wallsend, NSW 2287 Australia
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13
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Nathan N, Powell BJ, Shelton RC, Laur CV, Wolfenden L, Hailemariam M, Yoong SL, Sutherland R, Kingsland M, Waltz TJ, Hall A. Do the Expert Recommendations for Implementing Change (ERIC) strategies adequately address sustainment? FRONTIERS IN HEALTH SERVICES 2022; 2:905909. [PMID: 36925827 PMCID: PMC10012683 DOI: 10.3389/frhs.2022.905909] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 09/30/2022] [Indexed: 11/06/2022]
Abstract
Background Sustainability science is an emerging area within implementation science. There is limited evidence regarding strategies to best support the continued delivery and sustained impact of evidence-based interventions (EBIs). To build such evidence, clear definitions, and ways to operationalize strategies specific and/or relevant to sustainment are required. Taxonomies and compilations such as the Expert Recommendations for Implementing Change (ERIC) were developed to describe and organize implementation strategies. This study aimed to adapt, refine, and extend the ERIC compilation to incorporate an explicit focus on sustainment. We also sought to classify the specific phase(s) of implementation when the ERIC strategies could be considered and applied. Methods We used a two-phase iterative approach to adapt the ERIC. This involved: (1) adapting through consensus (ERIC strategies were mapped against barriers to sustainment as identified via the literature to identify if existing implementation strategies were sufficient to address sustainment, needed wording changes, or if new strategies were required) and; (2) preliminary application of this sustainment-explicit ERIC glossary (strategies described in published sustainment interventions were coded against the glossary to identify if any further amendments were needed). All team members independently reviewed changes and provided feedback for subsequent iterations until consensus was reached. Following this, and utilizing the same consensus process, the Exploration, Preparation, Implementation and Sustainment (EPIS) Framework was applied to identify when each strategy may be best employed across phases. Results Surface level changes were made to the definitions of 41 of the 73 ERIC strategies to explicitly address sustainment. Four additional strategies received deeper changes in their definitions. One new strategy was identified: Communicate with stakeholders the continued impact of the evidence-based practice. Application of the EPIS identified that at least three-quarters of strategies should be considered during preparation and implementation phases as they are likely to impact sustainment. Conclusion A sustainment-explicit ERIC glossary is provided to help researchers and practitioners develop, test, or apply strategies to improve the sustainment of EBIs in real-world settings. Whilst most ERIC strategies only needed minor changes, their impact on sustainment needs to be tested empirically which may require significant refinement or additions in the future.
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Affiliation(s)
- Nicole Nathan
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW, Australia
| | - Byron J. Powell
- Center for Mental Health Services Research, Brown School, Washington University in St. Louis, St. Louis, MO, United States
- Division of Infectious Diseases, John T. Milliken Department of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
- Center for Dissemination and Implementation, Institute for Public Health, Washington University in St. Louis, St. Louis, MO, United States
| | - Rachel C. Shelton
- Department of Sociomedical Sciences, Columbia University, Mailman School of Public Health, New York, NY, United States
| | - Celia V. Laur
- Women's College Hospital Institute for Health System Solutions and Virtual Care, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW, Australia
| | - Maji Hailemariam
- Department of Obstetrics, Gynaecology and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, MI, United States
| | - Sze Lin Yoong
- School of Health Science, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW, Australia
| | - Melanie Kingsland
- Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW, Australia
| | - Thomas J. Waltz
- Department of Psychology, Eastern Michigan University, Ypsilanti, MI, United States
| | - Alix Hall
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW, Australia
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Lwin KS, Bhandari AKC, Nguyen PT, Saito J, Yaguchi-Saito A, Ota E, Shimazu T. Factors influencing implementation of health-promoting interventions at workplaces: Protocol for a scoping review. PLoS One 2022; 17:e0275887. [PMID: 36223415 PMCID: PMC9555663 DOI: 10.1371/journal.pone.0275887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/26/2022] [Indexed: 11/07/2022] Open
Abstract
Introduction Health-promoting interventions at workplaces can be effective in modifying lifestyle-related behavioral risk factors for non-communicable diseases (NCDs). However, the interventions are not always successful in the real-world setting, and the evidence for effective strategies to implement the interventions has been limited. We propose a scoping review to identify the topics in need of study and areas for future research on barriers to and facilitators of the implementation of workplace health-promoting interventions. Materials and methods This scoping review will explore these issues from the perspective of supply-side stakeholders, who have a direct role in the implementation of these interventions. An electronic systematic search of MEDLINE (using PubMed), Web of Science, and Scopus databases from 1986 to 2022, in accordance with the PRISMA-ScR guidelines, will be performed. Supplementary hand searching will be undertaken with reference lists from included articles and consulting with relevant stakeholders. Two authors will be responsible for individually screening the corresponding articles by first reading the titles and abstracts and then the full texts to assess whether they meet the inclusion criteria. Data extraction will be conducted using standardized data collection forms, and data analysis will be aligned to the consolidated framework for implementation research (CFIR), a determinant framework of factors affecting implementation, using a directed content analysis approach. Discussion We will present the findings from this review at national and international conferences and submit them to a peer-reviewed journal for publication. Future workplace interventions will significantly benefit from this comprehensive scoping review to identify factors that enable improvement of the implementation, and the barriers to improvement, of evidence-based health-promoting interventions at workplaces.
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Affiliation(s)
- Kaung Suu Lwin
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Aliza K. C. Bhandari
- Graduate School of Public Health, St. Luke’s International University, Tokyo, Japan
- Department of Health Policy, National Center for Child Health and Development, Tokyo, Japan
| | - Phuong The Nguyen
- Graduate School of Public Health, St. Luke’s International University, Tokyo, Japan
- Division of Surveillance and Policy Evaluation, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Junko Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- * E-mail:
| | - Akiko Yaguchi-Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- Faculty of Human Sciences, Tokiwa University, Ibaraki, Japan
| | - Erika Ota
- Department of Global Health Nursing, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan
- Tokyo Foundation for Policy Research, Tokyo, Japan
| | - Taichi Shimazu
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
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15
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Odawara M, Saito J, Yaguchi-Saito A, Fujimori M, Uchitomi Y, Shimazu T. Using implementation mapping to develop strategies for preventing non-communicable diseases in Japanese small- and medium-sized enterprises. Front Public Health 2022; 10:873769. [PMID: 36276371 PMCID: PMC9582744 DOI: 10.3389/fpubh.2022.873769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 09/20/2022] [Indexed: 12/03/2022] Open
Abstract
Introduction Workplace programs to prevent non-communicable diseases (NCDs) in the workplace can help prevent the incidence of chronic diseases among employees, provide health benefits, and reduce the risk of financial loss. Nevertheless, these programs are not fully implemented, particularly in small- and medium-sized enterprises (SMEs). The purpose of this study was to develop implementation strategies for health promotion activities to prevent NCDs in Japanese SMEs using Implementation Mapping (IM) to present the process in a systematic, transparent, and replicable manner. Methods Qualitative methods using interviews and focus group discussions with 15 SMEs and 20 public health nurses were conducted in a previous study. This study applied the Consolidated Framework for Implementation Research and IM to analyze this dataset to develop implementation strategies suitable for SMEs in Japan. Results In task 2 of the IM, we identified performance objectives, determinants, and change objectives for each implementation stage: adoption, implementation, and maintenance; to identify the required actors and actions necessary to enhance implementation effectiveness. Twenty-two performance objectives were identified in each implementation stage. In task 3 of the IM, the planning group matched behavioral change methods (e.g., modeling and setting of graded tasks, framing, self-re-evaluation, and environmental re-evaluation) with determinants to address the performance objectives. We used a consolidated framework for implementation research to select the optimal behavioral change technique for performance objectives and determinants and designed a practical application. The planning team agreed on the inclusion of sixteen strategies from the final strategies list compiled and presented to it for consensus, for the overall implementation plan design. Discussion This paper provides the implementation strategies for NCDs prevention for SMEs in Japan following an IM protocol. Although the identified implementation strategies might not be generalizable to all SMEs planning implementation of health promotion activities, because they were tailored to contextual factors identified in a formative research. However, identified performance objectives and implementation strategies can help direct the next steps in launching preventive programs against NCDs in SMEs.
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Affiliation(s)
- Miyuki Odawara
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Junko Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Akiko Yaguchi-Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Maiko Fujimori
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan,Division of Supportive Care, Survivorship and Translational Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yosuke Uchitomi
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan,Division of Supportive Care, Survivorship and Translational Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan,Innovation Center for Supportive, Palliative and Psychosocial Care, National Cancer Center Hospital, Tokyo, Japan
| | - Taichi Shimazu
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, Tokyo, Japan,*Correspondence: Taichi Shimazu
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Wallbank G, Haynes A, Tiedemann A, Sherrington C, Grunseit AC. Designing physical activity interventions for women aged 50+: a qualitative study of participant perspectives. BMC Public Health 2022; 22:1855. [PMID: 36195939 PMCID: PMC9531643 DOI: 10.1186/s12889-022-14237-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 09/14/2022] [Accepted: 09/20/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The Active Women over 50 trial tested a scalable program for increasing physical activity among women aged 50+. The program included information, activity tracker and email support. This study sought to describe the participant perspectives of the Active Women over 50 program and considerations for designing physical activity interventions for this demographic. METHODS Women who completed the Active Women over 50 trial were purposively recruited for maximum variation in age, employment, carer responsibility, medical conditions and physical activity. Individual semi-structured interviews explored their perspectives on physical activity, Active Women over 50 program components and suggestions for future iterations. Data were thematically analysed. RESULTS Participants' capacity to be physically active was shaped by an interplay of factors. Our analysis generated four main themes relating to physical activity in general and to the program: Age and gender matters, Physical activity is social, Strategising for physical activity and the Self-responsibility discourse. At this midlife stage, physical activity participation was challenged by personal, life-stage and cultural factors, alongside a tension of the self-responsibility discourse which also impacted the program experience. Social factors and finding a suitable strategy for motivation were deemed integral aspects of being active. Future programs could consider facilitation of social networks and accountability, life-stage health information and positive framing to support self-responsibility. CONCLUSION A range of strategies is key to supporting women over 50 to be more physically active due to the variety of circumstances and levels of agency experienced. We offer suggestions that do not need to be resource intensive but could be incorporated into a scaled program.
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Affiliation(s)
- Geraldine Wallbank
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, The University of Sydney and Sydney Local Health District, Sydney, Australia. .,Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia. .,, Missenden Road, PO Box M179, 2050, Camperdown, NSW, Australia.
| | - Abby Haynes
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, The University of Sydney and Sydney Local Health District, Sydney, Australia.,Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Anne Tiedemann
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, The University of Sydney and Sydney Local Health District, Sydney, Australia.,Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Catherine Sherrington
- Institute for Musculoskeletal Health, Faculty of Medicine and Health, The University of Sydney and Sydney Local Health District, Sydney, Australia.,Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Anne C Grunseit
- Prevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, Australia
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17
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Wolfenden L, McCrabb S, Barnes C, O'Brien KM, Ng KW, Nathan NK, Sutherland R, Hodder RK, Tzelepis F, Nolan E, Williams CM, Yoong SL. Strategies for enhancing the implementation of school-based policies or practices targeting diet, physical activity, obesity, tobacco or alcohol use. Cochrane Database Syst Rev 2022; 8:CD011677. [PMID: 36036664 PMCID: PMC9422950 DOI: 10.1002/14651858.cd011677.pub3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Several school-based interventions are effective in improving child diet and physical activity, and preventing excessive weight gain, and tobacco or harmful alcohol use. However, schools are frequently unsuccessful in implementing such evidence-based interventions. OBJECTIVES 1. To evaluate the benefits and harms of strategies aiming to improve school implementation of interventions to address student diet, physical activity, tobacco or alcohol use, and obesity. 2. To evaluate the benefits and harms of strategies to improve intervention implementation on measures of student diet, physical activity, obesity, tobacco use or alcohol use; describe their cost or cost-effectiveness; and any harms of strategies on schools, school staff or students. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search was between 1 September 2016 and 30 April 2021 to identify any relevant trials published since the last published review. SELECTION CRITERIA We defined 'Implementation' as the use of strategies to adopt and integrate evidence-based health interventions and to change practice patterns within specific settings. We included any trial (randomised controlled trial (RCT) or non-randomised controlled trial (non-RCT)) conducted at any scale, with a parallel control group that compared a strategy to implement policies or practices to address diet, physical activity, overweight or obesity, tobacco or alcohol use by students to 'no intervention', 'usual' practice or a different implementation strategy. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Given the large number of outcomes reported, we selected and included the effects of a single outcome measure for each trial for the primary (implementation) and secondary (student health behaviour and obesity) outcomes using a decision hierarchy. Where possible, we calculated standardised mean differences (SMDs) to account for variable outcome measures with 95% confidence intervals (CI). For RCTs, we conducted meta-analyses of primary and secondary outcomes using a random-effects model, or in instances where there were between two and five studies, a fixed-effect model. The synthesis of the effects for non-randomised studies followed the 'Synthesis without meta-analysis' (SWiM) guidelines. MAIN RESULTS We included an additional 11 trials in this update bringing the total number of included studies in the review to 38. Of these, 22 were conducted in the USA. Twenty-six studies used RCT designs. Seventeen trials tested strategies to implement healthy eating, 12 physical activity and six a combination of risk factors. Just one trial sought to increase the implementation of interventions to delay initiation or reduce the consumption of alcohol. All trials used multiple implementation strategies, the most common being educational materials, educational outreach and educational meetings. The overall certainty of evidence was low and ranged from very low to moderate for secondary review outcomes. Pooled analyses of RCTs found, relative to a control, the use of implementation strategies may result in a large increase in the implementation of interventions in schools (SMD 1.04, 95% CI 0.74 to 1.34; 22 RCTs, 1917 participants; low-certainty evidence). For secondary outcomes we found, relative to control, the use of implementation strategies to support intervention implementation may result in a slight improvement on measures of student diet (SMD 0.08, 95% CI 0.02 to 0.15; 11 RCTs, 16,649 participants; low-certainty evidence) and physical activity (SMD 0.09, 95% CI -0.02 to 0.19; 9 RCTs, 16,389 participants; low-certainty evidence). The effects on obesity probably suggest little to no difference (SMD -0.02, 95% CI -0.05 to 0.02; 8 RCTs, 18,618 participants; moderate-certainty evidence). The effects on tobacco use are very uncertain (SMD -0.03, 95% CIs -0.23 to 0.18; 3 RCTs, 3635 participants; very low-certainty evidence). One RCT assessed measures of student alcohol use and found strategies to support implementation may result in a slight increase in use (odds ratio 1.10, 95% CI 0.77 to 1.56; P = 0.60; 2105 participants). Few trials reported the economic evaluations of implementation strategies, the methods of which were heterogeneous and evidence graded as very uncertain. A lack of consistent terminology describing implementation strategies was an important limitation of the review. AUTHORS' CONCLUSIONS The use of implementation strategies may result in large increases in implementation of interventions, and slight improvements in measures of student diet, and physical activity. Further research is required to assess the impact of implementation strategies on such behavioural- and obesity-related outcomes, including on measures of alcohol use, where the findings of one trial suggest it may slightly increase student risk. Given the low certainty of the available evidence for most measures further research is required to guide efforts to facilitate the translation of evidence into practice in this setting.
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Affiliation(s)
- Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Sam McCrabb
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Kate M O'Brien
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
| | - Kwok W Ng
- Physical Activity for Health Research Cluster, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
- School of Educational Sciences and Psychology, University of Eastern Finland, Joensu, Finland
| | - Nicole K Nathan
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Rebecca K Hodder
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
| | - Flora Tzelepis
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Erin Nolan
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Christopher M Williams
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
- Musculoskeletal Division, The George Institute for Global Health, Sydney, NSW, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, NSW, Australia
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18
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Väänänen I, Mas-Alòs S, Vandaele F, Codina-Nadal A, Matas S, Aumatell E, De Clerk I, Puig-Ribera A. Workplace physical activity practices in real life: a scoping review of grey literature for small- and medium-sized enterprises. Eur J Public Health 2022; 32:i22-i27. [PMID: 36031820 PMCID: PMC9421405 DOI: 10.1093/eurpub/ckac083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background There is a need to scale-up effective physical activity (PA) programmes for small- and medium-sized enterprises (SMEs), where the uptake of PA interventions is low. Identifying real-life workplace practices in PA could contribute to a better understanding of what PA programmes might be most grounded in the ‘real world’. However, there is a scarcity of evidence showing what gets done. This study aimed to identify, describe and comprehensively summarize the real-life implementations of workplace PA initiatives, particularly in Europe, as a prior step to disseminating future feasible PA practices for SMEs. Methods A scoping review of grey literature included a systematic search in the Google advanced search platform that permuted a combination of key concepts (PA, workplace, interventions/programmes), internet domains, and search operators in six different languages (Catalan, Finnish, French, Dutch, English and Spanish) between 2015 and November 2020. The analysis process was iterative, and multiple methods were used to sort, group and categorize the initiatives. Results There were a total of 713 real-life workplace PA initiatives from different-sized organizations identified. These were categorized into five themes: active work and living, exercise and fitness programs, management and leadership, communication and dissemination, and facilities. Finally, feature trees showing a menu for real-life workplace PA practices were implemented. Conclusions Identifying real-life practice providing a state-of-the-art snapshot of current PA practices in workplaces, which is a starting point to better understand feasible practices in the context of small- and medium-sized workplaces.
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Affiliation(s)
- Ilkka Väänänen
- LAB University of Applied Sciences, Health Care Unit, Physical Activity and Functional Capacity Research Group, Lahti Campus, Finland
| | - Sebastià Mas-Alòs
- National Institute of Physical Education of Catalonia (INEFC), Lleida Campus, Catalonia, Spain.,University of Lleida (UdL), Human Movement Research Group, Catalonia, Spain
| | | | - Anna Codina-Nadal
- University of Vic-Central University of Catalonia, Centre for Health and Social Care Research, Sport and Physical Activity Research Group, Vic, Spain
| | - Sergi Matas
- National Institute of Physical Education of Catalonia (INEFC), Lleida Campus, Catalonia, Spain.,University of Lleida (UdL), Human Movement Research Group, Catalonia, Spain
| | - Eva Aumatell
- Open University of Catalonia, eHealth Center, Barcelona, Spain
| | - Ine De Clerk
- Artevelde University of Applied Sciences, Gent, Belgium
| | - Anna Puig-Ribera
- University of Vic-Central University of Catalonia, Centre for Health and Social Care Research, Sport and Physical Activity Research Group, Vic, Spain
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19
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Lobczowska K, Banik A, Forberger S, Kaczmarek K, Kubiak T, Neumann-Podczaska A, Romaniuk P, Scheidmeir M, Scheller DA, Steinacker JM, Wendt J, Bekker MPM, Zeeb H, Luszczynska A. Social, economic, political, and geographical context that counts: meta-review of implementation determinants for policies promoting healthy diet and physical activity. BMC Public Health 2022; 22:1055. [PMID: 35619065 PMCID: PMC9137101 DOI: 10.1186/s12889-022-13340-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 04/28/2022] [Indexed: 12/02/2022] Open
Abstract
Background This meta-review investigated the context-related implementation determinants from seven domains (geographical, epidemiological, sociocultural, economic, ethics-related, political, and legal) that were systematically indicated as occurring during the implementation of obesity prevention policies targeting a healthy diet and a physically active lifestyle. Methods Data from nine databases and documentation of nine major stakeholders were searched for the purpose of this preregistered meta-review (#CRD42019133341). Context-related determinants were considered strongly supported if they were indicated in ≥60% of the reviews/stakeholder documents. The ROBIS tool and the Methodological Quality Checklist-SP were used to assess the quality-related risk of bias. Results Published reviews (k = 25) and stakeholder documents that reviewed the evidence of policy implementation (k = 17) were included. Across documents, the following six determinants from three context domains received strong support: economic resources at the macro (66.7% of analyzed documents) and meso/micro levels (71.4%); sociocultural context determinants at the meso/micro level, references to knowledge/beliefs/abilities of target groups (69.0%) and implementers (73.8%); political context determinants (interrelated policies supported in 71.4% of analyzed reviews/documents; policies within organizations, 69.0%). Conclusions These findings indicate that sociocultural, economic, and political contexts need to be accounted for when formulating plans for the implementation of a healthy diet and physical activity/sedentary behavior policies. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13340-4.
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Affiliation(s)
- Karolina Lobczowska
- Department of Psychology in Wroclaw, SWPS University of Social Sciences and Humanities, Ostrowskiego Street 30b, PL53238, Wroclaw, Poland
| | - Anna Banik
- Department of Psychology in Wroclaw, SWPS University of Social Sciences and Humanities, Ostrowskiego Street 30b, PL53238, Wroclaw, Poland
| | - Sarah Forberger
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achter Street 30, D28359, Bremen, Germany
| | - Krzysztof Kaczmarek
- Department of Health Policy, School of Health Sciences in Bytom, Medical University of Silesia in Katowice, 18 Piekarska Street, PL41902, Bytom, Poland
| | - Thomas Kubiak
- Johannes Gutenberg University Mainz, Institute of Psychology, Binger Street 14-16, D55122, Mainz, Germany
| | - Agnieszka Neumann-Podczaska
- Department of Palliative Medicine, Poznan University of Medical Sciences, Russa Street 55, PL61245, Poznan, Poland
| | - Piotr Romaniuk
- Department of Health Policy, School of Health Sciences in Bytom, Medical University of Silesia in Katowice, 18 Piekarska Street, PL41902, Bytom, Poland
| | - Marie Scheidmeir
- Johannes Gutenberg University Mainz, Institute of Psychology, Binger Street 14-16, D55122, Mainz, Germany
| | - Daniel A Scheller
- Department of Internal Medicine, Division of Sports and Rehabilitation Medicine, University Hospital Ulm, Leimgrubenweg 14; D89075, Ulm, Germany
| | - Juergen M Steinacker
- Department of Internal Medicine, Division of Sports and Rehabilitation Medicine, University Hospital Ulm, Leimgrubenweg 14; D89075, Ulm, Germany
| | - Janine Wendt
- Department of Internal Medicine, Division of Sports and Rehabilitation Medicine, University Hospital Ulm, Leimgrubenweg 14; D89075, Ulm, Germany
| | - Marleen P M Bekker
- Wageningen University and Research, Health and Society Group, Center for Space, Place and Society, P.O. Box 8130, bode 60, 6700 EW, Wageningen, The Netherlands
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achter Street 30, D28359, Bremen, Germany
| | - Aleksandra Luszczynska
- Department of Psychology in Wroclaw, SWPS University of Social Sciences and Humanities, Ostrowskiego Street 30b, PL53238, Wroclaw, Poland. .,Melbourne Centre for Behavior Change, Melbourne School of Psychological Sciences, University of Melbourne, Redmond Barry Building, Parkville Campus, Melbourne, VIC, 3010, Australia.
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20
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Saito J, Odawara M, Takahashi H, Fujimori M, Yaguchi-Saito A, Inoue M, Uchitomi Y, Shimazu T. Barriers and facilitative factors in the implementation of workplace health promotion activities in small and medium-sized enterprises: a qualitative study. Implement Sci Commun 2022; 3:23. [PMID: 35236511 PMCID: PMC8889638 DOI: 10.1186/s43058-022-00268-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 02/01/2022] [Indexed: 03/27/2024] Open
Abstract
Background There is an immense difference between large companies and small and medium-sized enterprises (SMEs) in implementation of evidence-based interventions (EBIs). Previous literature reveals various barriers that SMEs face during implementation, such as a lack of time, accessibility, and resources. However, few studies have comprehensively examined those influential factors at multi-levels. This study aims to identify the factors influencing the implementation of non-communicable disease prevention activities (tobacco, alcohol, diet, physical activity, and health check-up) in SMEs using Consolidated Framework for Implementation Research (CFIR). Methods We conducted 15 semi-structured interviews with health managers and/or employers in 15 enterprises with less than 300 employees, and four focus groups among public health nurses/nutritionists of health insurers who support SMEs in four prefectures across Japan. A qualitative content analysis by a deductive directed approach was performed. After coding the interview transcript text into the CFIR framework constructs by two independent researchers, the coding results were compared and revised in each enterprise until an agreement was reached. Results Of the 39 CFIR constructs, 25 were facilitative and 7 were inhibitory for workplace health promotion implementation in SMEs, which were across individual, internal, and external levels. In particular, the leadership engagement of employers in implementing the workplace health promotion activities was identified as a fundamental factor which may influence other facilitators, including “access to knowledge and information,” “relative priority,” “learning climate,” at organizational level, and “self-efficacy” at the health manager level. The main barrier was the beliefs held by the employer/manager that “health management is one’s own responsibility.” Conclusions Multi-level factors influencing the implementation of non-communicable diseases prevention activities in SMEs were identified. In resource-poor settings, strong endorsement and support, and positive feedback from employers would be important for health managers and employees to be highly motivated and promote or participate in health promotion. Future studies are needed to develop context-specific strategies based on identified barriers and facilitative factors, and empirically evaluate them, which would contribute to narrowing the differences in worksite health promotion implementation by company size. Supplementary Information The online version contains supplementary material available at 10.1186/s43058-022-00268-4.
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Affiliation(s)
- Junko Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Miyuki Odawara
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Hirokazu Takahashi
- Division of Screening Assessment and Management, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Maiko Fujimori
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.,Division of Supportive Care, Survivorship and Translational Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Akiko Yaguchi-Saito
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Yosuke Uchitomi
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.,Division of Supportive Care, Survivorship and Translational Research, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.,Innovation Center for Supportive, Palliative and Psychosocial Care, National Cancer Center Hospital, Tokyo, Japan
| | - Taichi Shimazu
- Division of Behavioral Sciences, National Cancer Center Institute for Cancer Control, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
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21
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Brandão MP, Sa-Couto P, Gomes G, Beça P, Reis J. Factors Associated with Cardiovascular Disease Risk among Employees at a Portuguese Higher Education Institution. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:848. [PMID: 35055670 PMCID: PMC8775385 DOI: 10.3390/ijerph19020848] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 01/04/2022] [Accepted: 01/10/2022] [Indexed: 01/15/2023]
Abstract
This study aimed to estimate the prevalence of risk factors for cardiovascular disease (CVD) and to assess the CVD risk (CVDRisk) in a sample of workers at a specific workplace: a higher education institution in Portugal. Data were collected using a questionnaire (e.cuidHaMUs.QueST®) with 345 HEI workers from June 2017-June 2018 with a high response rate (93.3%). Two constructs of risks for CVD were considered: (i) metabolic risk and hypertension (CVDRisk1); and (ii) modifiable behavioural risk (CVDRisk2). Logistic regression analyses were used to establish a relationship between risk indexes/constructs (CVDRisk1 and CVDRisk2) and groups of selected variables. The most prevalent CVD risk factor was hypercholesterolaemia (43.2%). Sixty-eight percent of participants were in the construct CVDRisk1 while almost half of the respondents were in CVDRisk2 (45.2%). The consumption of soft drinks twice a week or more contributed to a significantly increased risk of CVD in CVDRisk1. Lack of regular exercise and lack of daily fruit consumption significantly increased the risk of CVD in CVDRisk2. The challenge to decision makers and the occupational medical community is to incorporate this information into the daily practices of health surveillance with an urgent need for health promotional education campaigns in the workplace.
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Affiliation(s)
- Maria Piedade Brandão
- School of Health [ESSUA], Agras do Crasto-Campus Universitário de Santiago, University of Aveiro, Edifício 30, 3810-193 Aveiro, Portugal
- Center for Health Technology and Services Research [CINTESIS], Campus Universitário de Santiago, University of Aveiro, 3800-193 Aveiro, Portugal
| | - Pedro Sa-Couto
- Department of Mathematics [DMAT], University of Aveiro, 3810-193 Aveiro, Portugal; (P.S.-C.); (J.R.)
- Center for Research and Development in Mathematics and Applications [CIDMA], University of Aveiro, 3810-193 Aveiro, Portugal
| | - Gonçalo Gomes
- Department of Communication and Art [DECA], University of Aveiro, 3810-193 Aveiro, Portugal; (G.G.); (P.B.)
- Research Institute for Design, Media and Culture [ID+], University of Aveiro, 3810-193 Aveiro, Portugal
| | - Pedro Beça
- Department of Communication and Art [DECA], University of Aveiro, 3810-193 Aveiro, Portugal; (G.G.); (P.B.)
- Digital Media and Interaction [DigiMedia], University of Aveiro, 3810-193 Aveiro, Portugal
| | - Juliana Reis
- Department of Mathematics [DMAT], University of Aveiro, 3810-193 Aveiro, Portugal; (P.S.-C.); (J.R.)
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22
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Lobczowska K, Banik A, Brukalo K, Forberger S, Kubiak T, Romaniuk P, Scheidmeir M, Scheller DA, Steinacker JM, Wendt J, Wieczorowska-Tobis K, Bekker MPM, Zeeb H, Luszczynska A. Meta-review of implementation determinants for policies promoting healthy diet and physically active lifestyle: application of the Consolidated Framework for Implementation Research. Implement Sci 2022; 17:2. [PMID: 34991624 PMCID: PMC8734337 DOI: 10.1186/s13012-021-01176-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 11/29/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Although multiple systematic reviews indicate that various determinants (barriers and facilitators) occur in the implementation processes of policies promoting healthy diet, physical activity (PA), and sedentary behavior (SB) reduction, the overarching synthesis of such reviews is missing. Applying the Consolidated Framework for Implementation Research (CFIR), this meta-review aims to (1) identify determinants that were systematically indicated as occurring during the implementation processes and (2) identify differences in the presence of determinants across reviews versus stakeholder documents on healthy diet/PA/SB policies, reviews/stakeholder documents addressing healthy diet policies versus PA/SB policies targeting any population/setting, and healthy diet/PA/SB policies focusing on school settings. METHODS A meta-review of published systematic scoping or realist reviews (k = 25) and stakeholder documents (k = 17) was conducted. Data from nine bibliographic databases and documentation of nine major stakeholders were systematically searched. Included reviews (72%) and stakeholder documents (100%) provided qualitative synthesis of original research on implementation determinants of policies promoting healthy diet or PA or SB reduction, and 28% of reviews provided some quantitative synthesis. Determinants were considered strongly supported if they were indicated by ≥ 60.0% of included reviews/stakeholder documents. RESULTS Across the 26 CFIR-based implementation determinants, seven were supported by 66.7-76.2% of reviews/stakeholder documents. These determinants were cost, networking with other organizations/communities, external policies, structural characteristics of the setting, implementation climate, readiness for implementation, and knowledge/beliefs of involved individuals. Most frequently, published reviews provided support for inner setting and individual determinants, whereas stakeholder documents supported outer and inner setting implementation determinants. Comparisons between policies promoting healthy diet with PA/SB policies revealed shared support for only three implementation determinants: cost, implementation climate, and knowledge/beliefs. In the case of healthy diet/PA/SB policies targeting school settings, 14 out of 26 implementation determinants were strongly supported. CONCLUSIONS The strongly supported (i.e., systematically indicated) determinants may guide policymakers and researchers who need to prioritize potential implementation determinants when planning and monitoring the implementation of respective policies. Future research should quantitatively assess the importance or role of determinants and test investigate associations between determinants and progress of implementation processes. TRIAL REGISTRATION PROSPERO, # CRD42019133341.
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Affiliation(s)
- Karolina Lobczowska
- Department of Psychology in Wroclaw, SWPS University of Social Sciences and Humanities, Ostrowskiego Street 30b, PL53238, Wroclaw, Poland
| | - Anna Banik
- Department of Psychology in Wroclaw, SWPS University of Social Sciences and Humanities, Ostrowskiego Street 30b, PL53238, Wroclaw, Poland
| | - Katarzyna Brukalo
- Department of Health Policy, School of Health Sciences in Bytom, Medical University of Silesia in Katowice, 18 Piekarska Street, PL41902, Bytom, Poland
| | - Sarah Forberger
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achter Street 30, D28359, Bremen, Germany
| | - Thomas Kubiak
- Johannes Gutenberg University Mainz, Institute of Psychology, Binger Street 14-16, D55122, Mainz, Germany
| | - Piotr Romaniuk
- Department of Health Policy, School of Health Sciences in Bytom, Medical University of Silesia in Katowice, 18 Piekarska Street, PL41902, Bytom, Poland
| | - Marie Scheidmeir
- Johannes Gutenberg University Mainz, Institute of Psychology, Binger Street 14-16, D55122, Mainz, Germany
| | - Daniel A Scheller
- Department of Internal Medicine, Division of Sports and Rehabilitation Medicine, University Hospital Ulm, Leimgrubenweg 14, D89075, Ulm, Germany
| | - Juergen M Steinacker
- Department of Internal Medicine, Division of Sports and Rehabilitation Medicine, University Hospital Ulm, Leimgrubenweg 14, D89075, Ulm, Germany
| | - Janine Wendt
- Department of Internal Medicine, Division of Sports and Rehabilitation Medicine, University Hospital Ulm, Leimgrubenweg 14, D89075, Ulm, Germany
| | - Katarzyna Wieczorowska-Tobis
- Department of Palliative Medicine, Poznan University of Medical Sciences, Russa Street 55, PL61245, Poznan, Poland
| | - Marleen P M Bekker
- Wageningen University and Research, Health and Society Group, Center for Space, Place and Society, P.O. Box 8130, Bode 60, 6700 EW, Wageningen, the Netherlands
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achter Street 30, D28359, Bremen, Germany
| | - Aleksandra Luszczynska
- Department of Psychology in Wroclaw, SWPS University of Social Sciences and Humanities, Ostrowskiego Street 30b, PL53238, Wroclaw, Poland.
- Melbourne Centre for Behavior Change, Melbourne School of Psychological Sciences, University of Melbourne, Redmond Barry Building, Parkville Campus, Melbourne, VIC, 3010, Australia.
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[Clinical studies in trauma surgery and orthopedics: read, interpret and implement]. Unfallchirurg 2021; 124:1007-1017. [PMID: 34761281 PMCID: PMC8579904 DOI: 10.1007/s00113-021-01101-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2021] [Indexed: 12/01/2022]
Abstract
Für eine informierte, partizipative ärztliche Entscheidungsfindung müssen Sie neben Ihrem Erfahrungswissen aktuelle wissenschaftliche Daten berücksichtigen. Die digitale Informationsflut macht es im klinischen Alltag allerdings schwer, immer auf dem Stand des Wissens zu bleiben. Der Beitrag bietet einige Hilfen an, wie mit diesem Problem umgegangen werden kann. Ein grundlegendes Verständnis über Vor- und Nachwahrscheinlichkeiten sowie systematische Fehler (Bias) erleichtert die Abwägung zwischen Nutzen und Risiko z. B. einer (chirurgischen) Intervention im Vergleich zu einer nichtoperativen Therapie. Randomisierte Studien („randomized controlled trials“, RCT, mit allen modernen Modifikationen) liefern unverzerrte Ergebnisse, führen in Orthopädie und Unfallchirurgie evtl. zu einer stark selektierten, nichtrepräsentativen Stichprobe, und ihre Resultate müssen durch weitere, unabhängige RCT bestätigt oder widerlegt werden. Große beobachtende Datenmengen (z. B. aus Registern) können quasiexperimentell modelliert werden und RCT in der Gesundheitstechnologiebewertung flankieren.
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Melián-Fleitas L, Franco-Pérez Á, Caballero P, Sanz-Lorente M, Wanden-Berghe C, Sanz-Valero J. Influence of Nutrition, Food and Diet-Related Interventions in the Workplace: A Meta-Analysis with Meta-Regression. Nutrients 2021; 13:3945. [PMID: 34836200 PMCID: PMC8622081 DOI: 10.3390/nu13113945] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/28/2021] [Accepted: 11/02/2021] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To review the scientific literature on the influence of verified nutrition, food and diet interventions on occupational health. METHOD This study involved a critical analysis of articles retrieved from MEDLINE (via PubMed), Embase, Cochrane Library, PsycINFO, Scopus, Web of Science, Latin American and Caribbean Health Sciences Literature (LILACS) and Medicina en Español (MEDES) using the descriptors "Diet, Food, and Nutrition" and "Occupational Health" and applying the filters "Clinical Trial", "Humans" and "Adult: 19+ years"; the search was conducted on 29 May 2021. RESULTS A total of 401 references were retrieved from the bibliographic databases, with an additional 16 identified through a secondary search; among the studies retrieved, 34 clinical trials were selected after applying the inclusion and exclusion criteria. The interventions were grouped into seven categories: (1) dietary interventions associated with exercise or educational programs; (2) individual environmental interventions or other educational actions; (3) educational interventions oriented toward lifestyle, dietetics, physical activity and stress management; (4) economic incentives; (5) multicomponent interventions (combination of mindfulness, e-coaching and the addition of fruits and vegetables); or dietary interventions (facilitating greater food supply in cafeterias); or interventions focused on physical exercise. CONCLUSIONS Given that most people spend a large part of their time in the workplace and, therefore, eat at least one of their daily meals there, well-planned interventions-preferably including several strategies-have been demonstrated, in general, as useful for combating overweight and obesity. From the meta-regression study, it was observed that the interventions give better results in people who presented high Body Mass Index (BMI) values (obesity). In contrast, intervention 2 (interventions related to workplace environment) would not give the expected results (it would increase the BMI).
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Affiliation(s)
- Liliana Melián-Fleitas
- Nutrition Department, University of Granada, 18012 Granada, Spain;
- Geriatric Service, Insular Hospital, Health Services Management of the Health Area of Lanzarote, 35500 Arrecife, Spain
| | - Álvaro Franco-Pérez
- Playa Blanca Health Center, Health Services Management of the Health Area of Lanzarote, 35580 Playa Blanca, Spain;
| | - Pablo Caballero
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, San Vicente del Raspeig, 03690 Alicante, Spain;
| | - María Sanz-Lorente
- Department of Public Health & History of Science, University Miguel Hernandez, 03550 Alicante, Spain;
- Center of Public Health, Consellería of Universal Health and Public Health, 46940 Manises, Spain
| | - Carmina Wanden-Berghe
- Health and Biomedical Research Institute of Alicante, University General Hospital, 03010 Alicante, Spain;
| | - Javier Sanz-Valero
- Department of Public Health & History of Science, University Miguel Hernandez, 03550 Alicante, Spain;
- National School of Occupational Medicine, Carlos III Health Institute, 28029 Madrid, Spain
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Dissemination and Implementation Science Approaches for Occupational Safety and Health Research: Implications for Advancing Total Worker Health. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182111050. [PMID: 34769573 PMCID: PMC8583149 DOI: 10.3390/ijerph182111050] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/09/2021] [Accepted: 10/14/2021] [Indexed: 11/16/2022]
Abstract
Total Worker Health® (TWH), an initiative of the U.S. National Institute for Occupational Safety and Health, is defined as policies, programs, and practices that integrate protection from work-related health and safety hazards by promoting efforts that advance worker well-being. Interventions that apply the TWH paradigm improve workplace health more rapidly than wellness programs alone. Evidence of the barriers and facilitators to the adoption, implementation, and long-term maintenance of TWH programs is limited. Dissemination and implementation (D&I) science, the study of methods and strategies for bridging the gap between public health research and practice, can help address these system-, setting-, and worker-level factors to increase the uptake, impact, and sustainment of TWH activities. The purpose of this paper is to draw upon a synthesis of existing D&I science literature to provide TWH researchers and practitioners with: (1) an overview of D&I science; (2) a plain language explanation of key concepts in D&I science; (3) a case study example of moving a TWH intervention down the research-to-practice pipeline; and (4) a discussion of future opportunities for conducting D&I science in complex and dynamic workplace settings to increase worker safety, health, and well-being.
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Rantala E, Vanhatalo S, Tilles-Tirkkonen T, Kanerva M, Hansen PG, Kolehmainen M, Männikkö R, Lindström J, Pihlajamäki J, Poutanen K, Karhunen L, Absetz P. Choice Architecture Cueing to Healthier Dietary Choices and Physical Activity at the Workplace: Implementation and Feasibility Evaluation. Nutrients 2021; 13:nu13103592. [PMID: 34684592 PMCID: PMC8538928 DOI: 10.3390/nu13103592] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/09/2021] [Accepted: 10/12/2021] [Indexed: 01/14/2023] Open
Abstract
Redesigning choice environments appears a promising approach to encourage healthier eating and physical activity, but little evidence exists of the feasibility of this approach in real-world settings. The aim of this paper is to portray the implementation and feasibility assessment of a 12-month mixed-methods intervention study, StopDia at Work, targeting the environment of 53 diverse worksites. The intervention was conducted within a type 2 diabetes prevention study, StopDia. We assessed feasibility through the fidelity, facilitators and barriers, and maintenance of implementation, building on implementer interviews (n = 61 informants) and observations of the worksites at six (t1) and twelve months (t2). We analysed quantitative data with Kruskall-Wallis and Mann-Whitney U tests and qualitative data with content analysis. Intervention sites altogether implemented 23 various choice architectural strategies (median 3, range 0-14 strategies/site), employing 21 behaviour change mechanisms. Quantitative analysis found implementation was successful in 66%, imperfect in 25%, and failed in 9% of evaluated cases. These ratings were independent of the ease of implementation of applied strategies and reminders that implementers received. Researchers' assistance in intervention launch (p = 0.02) and direct contact to intervention sites (p < 0.001) predicted higher fidelity at t1, but not at t2. Qualitative content analysis identified facilitators and barriers related to the organisation, intervention, worksite environment, implementer, and user. Contributors of successful implementation included apt implementers, sufficient implementer training, careful planning, integration into worksite values and activities, and management support. After the study, 49% of the worksites intended to maintain the implementation in some form. Overall, the choice architecture approach seems suitable for workplace health promotion, but a range of practicalities warrant consideration while designing real-world implementation.
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Affiliation(s)
- Eeva Rantala
- VTT Technical Research Centre of Finland, Tietotie 2, P.O. Box 1000, 02044 Espoo, Finland; (S.V.); (M.K.); (K.P.)
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
- Finnish Institute for Health and Welfare, P.O. Box 30, 00271 Helsinki, Finland;
- Correspondence:
| | - Saara Vanhatalo
- VTT Technical Research Centre of Finland, Tietotie 2, P.O. Box 1000, 02044 Espoo, Finland; (S.V.); (M.K.); (K.P.)
| | - Tanja Tilles-Tirkkonen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
| | - Markus Kanerva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
- D Department, Tikkurila Campus, Laurea University of Applied Sciences, Ratatie 22, 01300 Vantaa, Finland
| | - Pelle Guldborg Hansen
- Department of Communication, Business & Information Technologies, Universitetsvej 1, Roskilde University, 4000 Roskilde, Denmark;
| | - Marjukka Kolehmainen
- VTT Technical Research Centre of Finland, Tietotie 2, P.O. Box 1000, 02044 Espoo, Finland; (S.V.); (M.K.); (K.P.)
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
| | - Reija Männikkö
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
| | - Jaana Lindström
- Finnish Institute for Health and Welfare, P.O. Box 30, 00271 Helsinki, Finland;
| | - Jussi Pihlajamäki
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, P.O. Box 100, 70029 Kuopio, Finland
| | - Kaisa Poutanen
- VTT Technical Research Centre of Finland, Tietotie 2, P.O. Box 1000, 02044 Espoo, Finland; (S.V.); (M.K.); (K.P.)
| | - Leila Karhunen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
| | - Pilvikki Absetz
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland; (T.T.-T.); (M.K.); (R.M.); (J.P.); (L.K.); (P.A.)
- Faculty of Social Sciences, Tampere University, Arvo Ylpön katu 34, 33520 Tampere, Finland
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Lovas S, Mahrouseh N, Bolaji OS, Nellamkuzhi NJ, Andrade CAS, Njuguna DW, Varga O. Impact of Policies in Nutrition and Physical Activity on Diabetes and Its Risk Factors in the 28 Member States of the European Union. Nutrients 2021; 13:nu13103439. [PMID: 34684440 PMCID: PMC8537865 DOI: 10.3390/nu13103439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/31/2021] [Accepted: 09/25/2021] [Indexed: 11/16/2022] Open
Abstract
Since healthy eating and physically active lifestyles can reduce diabetes mellitus (DM) risk, these are often addressed by population-based interventions aiming to prevent DM. Our study examined the impact of nutritional and physical activity policies, national diabetes plans and national diabetes registers contribute to lower prevalence of DM in individuals in the member states of the European Union (EU), taking into account the demographic and socioeconomic status as well as lifestyle choices. Datasets on policy actions, plans and registers were retrieved from the World Cancer Research Fund International’s NOURISHING and MOVING policy databases and the European Coalition for Diabetes report. Individual-based data on DM, socioeconomic status and healthy behavior indicators were obtained via the European Health Interview Survey, 2014. Our results showed variation in types and numbers of implemented policies within the member states, additionally, the higher number of these actions were not associated with lower DM prevalence. Only weak correlation between the prevalence of DM and preventive policies was found. Thus, undoubtedly policies have an impact on reducing the prevalence of DM, its increasing burden could not be reversed which underlines the need for applying a network of preventive policies.
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Affiliation(s)
- Szabolcs Lovas
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26 Kassai Street, 4028 Debrecen, Hungary; (S.L.); (N.M.); (C.A.S.A.); (D.W.N.)
| | - Nour Mahrouseh
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26 Kassai Street, 4028 Debrecen, Hungary; (S.L.); (N.M.); (C.A.S.A.); (D.W.N.)
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | | | | | - Carlos Alexandre Soares Andrade
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26 Kassai Street, 4028 Debrecen, Hungary; (S.L.); (N.M.); (C.A.S.A.); (D.W.N.)
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - Diana Wangeshi Njuguna
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26 Kassai Street, 4028 Debrecen, Hungary; (S.L.); (N.M.); (C.A.S.A.); (D.W.N.)
- Doctoral School of Health Sciences, University of Debrecen, 4032 Debrecen, Hungary
| | - Orsolya Varga
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, 26 Kassai Street, 4028 Debrecen, Hungary; (S.L.); (N.M.); (C.A.S.A.); (D.W.N.)
- Eötvös Loránd Research Network, 1052 Budapest, Hungary
- Correspondence:
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Delaney T, Mclaughlin M, Hall A, Yoong SL, Brown A, O’Brien K, Dray J, Barnes C, Hollis J, Wyse R, Wiggers J, Sutherland R, Wolfenden L. Associations between Digital Health Intervention Engagement and Dietary Intake: A Systematic Review. Nutrients 2021; 13:nu13093281. [PMID: 34579158 PMCID: PMC8470016 DOI: 10.3390/nu13093281] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/09/2021] [Accepted: 09/15/2021] [Indexed: 11/23/2022] Open
Abstract
There has been a proliferation of digital health interventions (DHIs) targeting dietary intake. Despite their potential, the effectiveness of DHIs are thought to be dependent, in part, on user engagement. However, the relationship between engagement and the effectiveness of dietary DHIs is not well understood. The aim of this review is to describe the association between DHI engagement and dietary intake. A systematic search of four electronic databases and grey literature for records published before December 2019 was conducted. Studies were eligible if they examined a quantitative association between objective measures of engagement with a DHI (subjective experience or usage) and measures of dietary intake in adults (aged ≥18 years). From 10,653 citations, seven studies were included. Five studies included usage measures of engagement and two examined subjective experiences. Narrative synthesis, using vote counting, found mixed evidence of an association with usage measures (5 of 12 associations indicated a positive relationship, 7 were inconclusive) and no evidence regarding an association with subjective experience (both studies were inconclusive). The findings provide early evidence supporting an association between measures of usage and dietary intake; however, this was inconsistent. Further research examining the association between DHI engagement and dietary intake is warranted.
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Affiliation(s)
- Tessa Delaney
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
- Correspondence: ; Tel.: +612-49246-499
| | - Matthew Mclaughlin
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Alix Hall
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Sze Lin Yoong
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
- Faculty of Health, Arts and Design, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
| | - Alison Brown
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Kate O’Brien
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Julia Dray
- School of Psychology, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Courtney Barnes
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Jenna Hollis
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rebecca Wyse
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia; (M.M.); (A.H.); (S.L.Y.); (A.B.); (K.O.); (J.D.); (C.B.); (J.H.); (R.W.); (J.W.); (R.S.); (L.W.)
- Hunter New England Population Health, Wallsend, NSW 2287, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW 2305, Australia
- Priority Research Centre for Heath Behavior, University of Newcastle, Callaghan, NSW 2308, Australia
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Glanz K, Shaw PA, Kwong PL, Choi JR, Chung A, Zhu J, Huang QE, Hoffer K, Volpp KG. Effect of Financial Incentives and Environmental Strategies on Weight Loss in the Healthy Weigh Study: A Randomized Clinical Trial. JAMA Netw Open 2021; 4:e2124132. [PMID: 34491350 PMCID: PMC8424479 DOI: 10.1001/jamanetworkopen.2021.24132] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
IMPORTANCE Modest weight loss can lead to meaningful risk reduction in adults with obesity. Although both behavioral economic incentives and environmental change strategies have shown promise for initial weight loss, to date they have not been combined, or compared, in a randomized clinical trial. OBJECTIVE To test the relative effectiveness of financial incentives and environmental strategies, alone and in combination, on initial weight loss and maintenance of weight loss in adults with obesity. DESIGN, SETTING, AND PARTICIPANTS This randomized clinical trial was conducted from 2015 to 2019 at 3 large employers in Philadelphia, Pennsylvania. A 2-by-2 factorial design was used to compare the effects of lottery-based financial incentives, environmental strategies, and their combination vs usual care on weight loss and maintenance. Interventions were delivered via website, text messages, and social media. Participants included adult employees with a body mass index (BMI; weight in kilograms divided by height in meters squared) of 30 to 55 and at least 1 other cardiovascular risk factor. Data analysis was performed from June to July 2021. INTERVENTIONS Interventions included lottery-based financial incentives based on meeting weight loss goals, environmental change strategies tailored for individuals and delivered by text messages and social media, and combined incentives and environmental strategies. MAIN OUTCOME AND MEASURES The primary outcome was weight change from baseline to 18 months, measured in person. RESULTS A total of 344 participants were enrolled, with 86 participants each randomized to the financial incentives group, environmental strategies group, combined financial incentives and environmental strategies group, and usual care (control) group. Participants had a mean (SD) age of 45.6 (10.5) years and a mean (SD) BMI of 36.5 (7.1); 247 participants (71.8%) were women, 172 (50.0%) were Black, and 138 (40.1%) were White. At the primary end point of 18 months, participants in the incentives group lost a mean of 5.4 lb (95% CI, -11.3 to 0.5 lb [mean, 2.45 kg; 95% CI, -5.09 to 0.23 kg]), those in the environmental strategies group lost a mean of a 2.2 lb (95% CI, -7.7 to 3.3 lb [mean, 1.00 kg; 95% CI, -3.47 to 1.49 kg]), and the combination group lost a mean of 2.4 lb (95% CI, -8.2 to 3.3 lb [mean, 1.09 kg; 95% CI, -3.69 to 1.49 kg]) more than participants in the usual care group. Financial incentives, environmental change strategies, and their combination were not significantly more effective than usual care. At 24 months, after 6 months without an intervention, the difference in the change from baseline was similar to the 18-month results, with no significant differences among groups. CONCLUSIONS AND RELEVANCE In this randomized clinical trial, across all study groups, participants lost a modest amount of weight but those who received financial incentives, environmental change, or the combined intervention did not lose significantly more weight than those in the usual care group. Employees with obesity may benefit from more intensive individualized weight loss strategies. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02878343.
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Affiliation(s)
- Karen Glanz
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- School of Nursing, University of Pennsylvania, Philadelphia
| | - Pamela A. Shaw
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Pui L. Kwong
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ji Rebekah Choi
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Annie Chung
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jingsan Zhu
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Qian Erin Huang
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Karen Hoffer
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Kevin G. Volpp
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
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Barnes C, McCrabb S, Stacey F, Nathan N, Yoong SL, Grady A, Sutherland R, Hodder R, Innes-Hughes C, Davies M, Wolfenden L. Improving implementation of school-based healthy eating and physical activity policies, practices, and programs: a systematic review. Transl Behav Med 2021; 11:1365-1410. [PMID: 34080618 PMCID: PMC8320878 DOI: 10.1093/tbm/ibab037] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Although best practice recommendations exist regarding school-based healthy eating and physical activity policies, practices, and programs, research indicates that implementation is poor. As the field of implementation science is rapidly evolving, an update of the recent review of strategies to improve the implementation of healthy eating and physical activity interventions in schools published in the Cochrane Library in 2017 was required. The primary aim of this review was to examine the effectiveness of strategies that aim to improve the implementation of school-based policies, practices, or programs to address child diet, physical activity, or obesity. A systematic review of articles published between August 31, 2016 and April 10, 2019 utilizing Cochrane methodology was conducted. In addition to the 22 studies included in the original review, eight further studies were identified as eligible. The 30 studies sought to improve the implementation of healthy eating (n = 16), physical activity (n = 11), or both healthy eating and physical activity (n = 3). The narrative synthesis indicated that effect sizes of strategies to improve implementation were highly variable across studies. For example, among 10 studies reporting the proportion of schools implementing a targeted policy, practice, or program versus a minimal or usual practice control, the median unadjusted effect size was 16.2%, ranging from -0.2% to 66.6%. Findings provide some evidence to support the effectiveness of strategies in enhancing the nutritional quality of foods served at schools, the implementation of canteen policies, and the time scheduled for physical education.
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Affiliation(s)
- Courtney Barnes
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Sam McCrabb
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Fiona Stacey
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Nicole Nathan
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Sze Lin Yoong
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
- Department of Nursing and Allied Health, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Alice Grady
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Rebecca Hodder
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | | | - Marc Davies
- New South Wales Office of Preventive Health, Sydney, New South Wales, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Wallsend, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton, New South Wales, Australia
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Rethlefsen ML, Kirtley S, Waffenschmidt S, Ayala AP, Moher D, Page MJ, Koffel JB. PRISMA-S: an extension to the PRISMA statement for reporting literature searches in systematic reviews . J Med Libr Assoc 2021; 109:174-200. [PMID: 34285662 PMCID: PMC8270366 DOI: 10.5195/jmla.2021.962] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Literature searches underlie the foundations of systematic reviews and related review types. Yet, the literature searching component of systematic reviews and related review types is often poorly reported. Guidance for literature search reporting has been diverse and, in many cases, does not offer enough detail to authors who need more specific information about reporting search methods and information sources in a clear, reproducible way. This document presents the PRISMA-S (Preferred Reporting Items for Systematic reviews and Meta-Analyses literature search extension) checklist, and explanation and elaboration. METHODS The checklist was developed using a three-stage Delphi survey process, followed by a consensus conference and public review process. RESULTS The final checklist includes sixteen reporting items, each of which is detailed with exemplar reporting and rationale. CONCLUSIONS The intent of PRISMA-S is to complement the PRISMA Statement and its extensions by providing a checklist that could be used by interdisciplinary authors, editors, and peer reviewers to verify that each component of a search is completely reported and, therefore, reproducible.
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Affiliation(s)
- Melissa L. Rethlefsen
- , Executive Director and Professor, Health Sciences Library & Informatics Center, University of New Mexico
| | - Shona Kirtley
- , Senior Research Information Specialist, UK EQUATOR Centre, Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Botnar Research Centre, Oxford, United Kingdom
| | - Siw Waffenschmidt
- , Head of the Information Management Unit, Institute for Quality and Efficiency in Health Care, Cologne, Germany
| | - Ana Patricia Ayala
- , Research Services Librarian, Gerstein Science Information Centre, University of Toronto, Toronto, ON, Canada
| | - David Moher
- , Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, The Ottawa Hospital, General Campus, Centre for Practice Changing Research Building, Ottawa, ON, Canada
| | - Matthew J. Page
- , Research Fellow, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jonathan B. Koffel
- , Emerging Technology and Innovation Strategist, University of Minnesota, Minneapolis, MN
| | - PRISMA-S Group
- , Executive Director and Professor, Health Sciences Library & Informatics Center, University of New Mexico
- , Senior Research Information Specialist, UK EQUATOR Centre, Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Botnar Research Centre, Oxford, United Kingdom
- , Head of the Information Management Unit, Institute for Quality and Efficiency in Health Care, Cologne, Germany
- , Research Services Librarian, Gerstein Science Information Centre, University of Toronto, Toronto, ON, Canada
- , Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, The Ottawa Hospital, General Campus, Centre for Practice Changing Research Building, Ottawa, ON, Canada
- , Research Fellow, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- , Emerging Technology and Innovation Strategist, University of Minnesota, Minneapolis, MN
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Naicker A, Shrestha A, Joshi C, Willett W, Spiegelman D. Workplace cafeteria and other multicomponent interventions to promote healthy eating among adults: A systematic review. Prev Med Rep 2021; 22:101333. [PMID: 33732606 PMCID: PMC7937753 DOI: 10.1016/j.pmedr.2021.101333] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 01/28/2021] [Accepted: 02/09/2021] [Indexed: 12/18/2022] Open
Abstract
The objective of this review is to evaluate evidence for the effectiveness of workplace cafeteria and other supporting multicomponent interventions to promote healthy eating and reductions in health risks among adults. We conducted an electronic search in EMBASE, CINAHL, EconLit, Ovid, Cochrane, Web of Science and PubMed for English-language articles published from 1985 to July 2019. Studies were original articles reporting the results of workplace cafeteria interventions to promote healthy eating and reduction in health risks. Outcomes were classified as changes in fruit and vegetable intake, health risk indicators, dietary intake, and food sales. Interventions were categorized as interventions targeting food quality or quantity, targeting price, targeting food choice at point of purchase, targeting improved supply, targeting client's information, education or motivation and targeting organization policies. Behavioral change conditions used in interventions were identified using the COM-B system of behavioral change. Results were presented in a narrative summary. A total of 55 studies out of 6285 articles were identified for this review. Several studies used multicomponent interventions and the most featured interventions included interventions targeting food quality or quantity, targeting client's information, education or motivation and targeting food choice at point of purchase. There is evidence that workplace cafeteria and other supporting multicomponent interventions resulted in higher intake of fruit and vegetables, improved dietary intake, improved health outcomes and healthy food sales. The findings of this review have the potential to inform future cafeteria-based and other supporting multicomponent workplace health interventions. The review protocol was not registered in a repository.
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Affiliation(s)
- Ashika Naicker
- Department of Food and Nutrition, Durban University of Technology, Durban, South Africa.,Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
| | - Archana Shrestha
- Center for Methods on Implementation and Prevention Science (CMIPS) Yale School of Public Health, New Haven, USA
| | | | - Walter Willett
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA
| | - Donna Spiegelman
- Center for Methods on Implementation and Prevention Science (CMIPS) Yale School of Public Health, New Haven, USA
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Mclaughlin M, Delaney T, Hall A, Byaruhanga J, Mackie P, Grady A, Reilly K, Campbell E, Sutherland R, Wiggers J, Wolfenden L. Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis. J Med Internet Res 2021; 23:e23180. [PMID: 33605897 PMCID: PMC8011420 DOI: 10.2196/23180] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 11/18/2020] [Accepted: 12/07/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users' subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior. OBJECTIVE This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins). METHODS Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non-digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association. RESULTS Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis). CONCLUSIONS The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.
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Affiliation(s)
- Matthew Mclaughlin
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Tessa Delaney
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Alix Hall
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Judith Byaruhanga
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Paul Mackie
- School of Health Sciences and Priority Research Centre for Stroke and Brain Injury, University of Newcastle, Callaghan, Australia
- Centre for Research Excellence in Stroke Recovery and Rehabilitation, Florey Institute of Neuroscience, Melbourne, Australia
| | - Alice Grady
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Kathryn Reilly
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Elizabeth Campbell
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - John Wiggers
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, University of Newcastle, Callaghan, Australia
- Hunter New England Population Health, Wallsend, Australia
- Hunter Medical Research Institute, New Lambton Heights, Australia
- Priority Research Centre for Heath Behaviour, University of Newcastle, Callaghan, Australia
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Portero de la Cruz S, Cebrino J. Trends in Diet Quality and Related Sociodemographic, Health, and Occupational Characteristics among Workers in Spain: Results from Three Consecutive National Health Surveys (2006-2017). Nutrients 2021; 13:522. [PMID: 33562746 PMCID: PMC7915096 DOI: 10.3390/nu13020522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 02/02/2021] [Accepted: 02/02/2021] [Indexed: 12/22/2022] Open
Abstract
Poor dietary practices are commonly reported in working populations from different economic sectors, resulting in increased absenteeism and a decrease in productivity. The aims of this study were to describe the frequency of food consumption and diet quality in workers aged ≥16 years from 2006 to 2017 in Spain and to evaluate the factors associated with diet quality. A nationwide cross-sectional study was carried out among workers using data from the Spanish National Health Surveys in 2006 (n = 11,068), 2011 (n = 7497) and 2017 (n = 8890). Sociodemographic, occupational, and health-related variables were used as well as diet quality data. A multiple linear regression was performed to determine the characteristics related to overall diet quality. The percentage of workers who consumed vegetables, at most, once or twice per week decreased from 2006 to 2017 (p < 0.001). A lower diet quality score was related to the consumption of tobacco and alcohol and being aged ≥25 years old, while a higher diet quality score was linked to being a woman, having Spanish nationality, receiving optimal perceived social support, being physically active in one's main occupation, doing leisure-time physical activity, and the type of contract.
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Affiliation(s)
- Silvia Portero de la Cruz
- Department of Nursing, Pharmacology and Physiotherapy, Faculty of Medicine and Nursing, University of Córdoba, Avda. Menéndez Pidal S/N, 14071 Córdoba, Spain;
| | - Jesús Cebrino
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of Seville, Avda. Doctor Fedriani S/N, 41009 Seville, Spain
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Rethlefsen ML, Kirtley S, Waffenschmidt S, Ayala AP, Moher D, Page MJ, Koffel JB. PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews. Syst Rev 2021; 10:39. [PMID: 33499930 PMCID: PMC7839230 DOI: 10.1186/s13643-020-01542-z] [Citation(s) in RCA: 773] [Impact Index Per Article: 257.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 11/23/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Literature searches underlie the foundations of systematic reviews and related review types. Yet, the literature searching component of systematic reviews and related review types is often poorly reported. Guidance for literature search reporting has been diverse, and, in many cases, does not offer enough detail to authors who need more specific information about reporting search methods and information sources in a clear, reproducible way. This document presents the PRISMA-S (Preferred Reporting Items for Systematic reviews and Meta-Analyses literature search extension) checklist, and explanation and elaboration. METHODS The checklist was developed using a 3-stage Delphi survey process, followed by a consensus conference and public review process. RESULTS The final checklist includes 16 reporting items, each of which is detailed with exemplar reporting and rationale. CONCLUSIONS The intent of PRISMA-S is to complement the PRISMA Statement and its extensions by providing a checklist that could be used by interdisciplinary authors, editors, and peer reviewers to verify that each component of a search is completely reported and therefore reproducible.
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Affiliation(s)
- Melissa L. Rethlefsen
- Health Science Center Libraries, George A. Smathers Libraries, University of Florida, Gainesville, USA
| | - Shona Kirtley
- UK EQUATOR Centre, Centre for Statistics in Medicine (CSM), Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Botnar Research Centre, University of Oxford, Windmill Road, Oxford, OX3 7LD UK
| | - Siw Waffenschmidt
- Institute for Quality and Efficiency in Health Care, Cologne, Germany
| | - Ana Patricia Ayala
- Gerstein Science Information Centre, University of Toronto, Toronto, Canada
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, The Ottawa Hospital, General Campus, Centre for Practice Changing Research Building, 501 Smyth Road, PO BOX 201B, Ottawa, Ontario K1H 8L6 Canada
| | - Matthew J. Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Lane C, McCrabb S, Nathan N, Naylor PJ, Bauman A, Milat A, Lum M, Sutherland R, Byaruhanga J, Wolfenden L. How effective are physical activity interventions when they are scaled-up: a systematic review. Int J Behav Nutr Phys Act 2021; 18:16. [PMID: 33482837 PMCID: PMC7821550 DOI: 10.1186/s12966-021-01080-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 01/05/2021] [Indexed: 12/18/2022] Open
Abstract
Background The ‘scale-up’ of effective physical activity interventions is required if they are to yield improvements in population health. The purpose of this study was to systematically review the effectiveness of community-based physical activity interventions that have been scaled-up. We also sought to explore differences in the effect size of these interventions compared with prior evaluations of their efficacy in more controlled contexts, and describe adaptations that were made to interventions as part of the scale-up process. Methods We performed a search of empirical research using six electronic databases, hand searched reference lists and contacted field experts. An intervention was considered ‘scaled-up’ if it had been intentionally delivered on a larger scale (to a greater number of participants, new populations, and/or by means of different delivery systems) than a preceding randomised control trial (‘pre-scale’) in which a significant intervention effect (p < 0.05) was reported on any measure of physical activity. Effect size differences between pre-scale and scaled up interventions were quantified ([the effect size reported in the scaled-up study / the effect size reported in the pre-scale-up efficacy trial] × 100) to explore any scale-up ‘penalties’ in intervention effects. Results We identified 10 eligible studies. Six scaled-up interventions appeared to achieve significant improvement on at least one measure of physical activity. Six studies included measures of physical activity that were common between pre-scale and scaled-up trials enabling the calculation of an effect size difference (and potential scale-up penalty). Differences in effect size ranged from 132 to 25% (median = 58.8%), suggesting that most scaled-up interventions typically achieve less than 60% of their pre-scale effect size. A variety of adaptations were made for scale-up – the most common being mode of delivery. Conclusion The majority of interventions remained effective when delivered at-scale however their effects were markedly lower than reported in pre-scale trials. Adaptations of interventions were common and may have impacted on the effectiveness of interventions delivered at scale. These outcomes provide valuable insight for researchers and public health practitioners interested in the design and scale-up of physical activity interventions, and contribute to the growing evidence base for delivering health promotion interventions at-scale. Trial registration PROSPERO CRD42020144842. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-021-01080-4.
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Affiliation(s)
- Cassandra Lane
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia. .,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia. .,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia. .,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia.
| | - Sam McCrabb
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia
| | - Nicole Nathan
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Patti-Jean Naylor
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Adrian Bauman
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Andrew Milat
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Melanie Lum
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Rachel Sutherland
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Judith Byaruhanga
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Luke Wolfenden
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.,Hunter New England Population Health, Hunter New England Area Health Service, Newcastle, NSW, Australia.,Priority Research Centre for Health Behaviour, The University of Newcastle, Newcastle, NSW, Australia.,Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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37
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Khan A, King C, Saif-Ur-Rahman KM, Khandaker G, Lawler S, Gartner C. Development of an Evidence and Gap Map (EGM) of interventions to increase smoking cessation: A study protocol. Tob Prev Cessat 2020; 6:44. [PMID: 33083677 PMCID: PMC7549522 DOI: 10.18332/tpc/124117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 11/24/2022]
Abstract
Smoking remains one of the leading risk factors contributing to the global burden of disease. Sub-optimal implementation of evidence-based tobacco control and smoking cessation practice is a major challenge despite a substantial evidence base for interventions to increase smoking cessation globally. We aim to develop an Evidence and Gap Map (EGM) to collate the existing evidence and identify the gap in research on interventions to increase smoking cessation worldwide. A conceptual framework was developed followed by the formulation of a search strategy with key search terms and search period (1970 – date of search). The search will be conducted in relevant bibliographic databases (e.g. MEDLINE, Embase, SCOPUS), systematic reviews databases (e.g. Cochrane Library, Joanna Briggs systematic reviews, EPPI-Reviewer) and impact evaluation databases (e.g. 3ie Impact Evaluation repository and Cochrane tobacco addiction group specialized register) with support from a research librarian. Subsequently, two coders will screen and retrieve systematic reviews and individual impact evaluation studies. The adapted SURE (Supporting the Use of Research Evidence) checklist will be used to evaluate the quality of the included systematic reviews. A narrative synthesis from the systematic review findings and line listing of the impact evaluations will form the basis of this EGM. The EGM report will be presented in an interactive visual format. The proposed EGM will organise the pieces of evidence generated in systematic reviews and impact evaluations on smoking cessation interventions and identify the current research gaps, if any. The findings will inform evidence-based practice and future research.
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Affiliation(s)
- Arifuzzaman Khan
- School of Public Health, The University of Queensland, Brisbane, Australia.,Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Australia
| | - Catherine King
- Faculty of Medicine and Health, The Children's Hospital at Westmead Clinical School, The University of Sydney, Sydney, Australia
| | - K M Saif-Ur-Rahman
- Department of Public Health and Health Systems, University of Nagoya, Nagoya, Japan.,Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Gulam Khandaker
- School of Public Health, The University of Queensland, Brisbane, Australia.,Central Queensland Public Health Unit, Central Queensland Hospital and Health Service, Rockhampton, Australia
| | - Sheleigh Lawler
- School of Public Health, The University of Queensland, Brisbane, Australia
| | - Coral Gartner
- School of Public Health, The University of Queensland, Brisbane, Australia
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Králíková E, Pánková A. Barriers to introduction of smoke-free workplaces in Central Europe: example of the Czech Republic. Cent Eur J Public Health 2020; 28 Suppl:S22-S25. [PMID: 33069177 DOI: 10.21101/cejph.a6160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 07/26/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Smoking at the workplace has a negative impact both on employers' economic interests and employees' health. The aim of this study is to describe the current situation, mainly barriers in implementation and resources in the Czech Republic as an example of a Central European country. METHODS We synthesised relevant review papers with our knowledge of the local situation based upon professional experience of both authors. RESULTS Despite smoke-free laws, some EU workers are still exposed to passive smoking during working hours. The main barriers towards smoke-free workplace implementation are the lack of resources, perception of smoking as a norm, and exceptions for leading personalities and their smoking. Social support increases smoking cessation effectiveness. Low availability of local smoking cessation services is an overall problem in Central Europe. CONCLUSIONS The working environment influences smoking habits. Smoking cessation support is cost-effective not only for the smoking employee but for employers as well. Smoking cessation resources should be available during the working day. No exceptions should be made as they serve as barriers to a smoke-free working environment.
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Affiliation(s)
- Eva Králíková
- Institute of Hygiene and Epidemiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.,Centre for Tobacco Dependence, Third Medical Department, Department of Endocrinology and Metabolism, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Alexandra Pánková
- Institute of Hygiene and Epidemiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.,Centre for Tobacco Dependence, Third Medical Department, Department of Endocrinology and Metabolism, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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Ben Charif A, Zomahoun HTV, Massougbodji J, Khadhraoui L, Pilon MD, Boulanger E, Gogovor A, Campbell MJ, Poitras MÈ, Légaré F. Assessing the scalability of innovations in primary care: a cross-sectional study. CMAJ Open 2020; 8:E613-E618. [PMID: 33011682 PMCID: PMC7567510 DOI: 10.9778/cmajo.20200030] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Canadian health funding currently prioritizes scaling up for evidence-based primary care innovations, but not all teams prepare for scaling up. We explored scalability assessment among primary care innovators in the province of Quebec to evaluate their preparedness for scaling up. METHODS We performed a cross-sectional survey from Feb. 18 to Mar. 18, 2019. Eligible participants were 33 innovation teams selected for the 2019 Quebec College of Family Physicians' Symposium on Innovations. We conducted a Web-based survey in 2 sections: innovation characteristics and the Innovation Scalability Self-administered Questionnaire. The latter includes 16 criteria (scalability components) grouped into 5 dimensions: theory (1 criterion), impact (6 criteria), coverage (4 criteria), setting (3 criteria) and cost (2 criteria). We classified innovation types using the International Classification of Health Interventions. We performed a descriptive analysis using frequency counts and percentages. RESULTS Out of 33 teams, 24 participated (72.7%), with 1 innovation each. The types of innovation were management (15/24), prevention (8/24) and therapeutic (1/24). Most management innovations focused on patient navigation (9/15). In order of frequency, teams had assessed theory (79.2%) and impact (79.2%) criteria, followed by cost (77.1%), setting (59.7%) and coverage (54.2%). Most innovations (16/24) had assessed 10 criteria or more, including 10 management innovations, 5 prevention innovations and 1 therapeutic innovation. Implementation fidelity was the least assessed criterion (6/24). INTERPRETATION The scalability assessments of a primary care innovation varied according to its type. Management innovations, which were the most prevalent and assessed the most scalability components, appear to be most prepared for primary care scale-up in Canada.
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Affiliation(s)
- Ali Ben Charif
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Hervé Tchala Vignon Zomahoun
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - José Massougbodji
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Lobna Khadhraoui
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Maxine Dumas Pilon
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Elise Boulanger
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Amédé Gogovor
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Marie-Josée Campbell
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - Marie-Ève Poitras
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que
| | - France Légaré
- VITAM - Centre de recherche en santé durable (Ben Charif, Zomahoun, Massougbodji, Khadhraoui, Gogovor, Légaré), Québec, Que.; Tier 1 Canada Research Chair in Shared Decision Making and Knowledge Translation (Ben Charif, Gogovor, Légaré), Université Laval; Health and Social Services Systems, Knowledge Translation and Implementation component of the Quebec SPOR-SUPPORT Unit (Zomahoun, Massougbodji, Khadhraoui, Gogovor), Université Laval; Collège québécois des médecins de famille (Dumas Pilon, Boulanger, Campbell), Laval, Que.; Department of Family Medicine and Emergency Medicine (Poitras), Université de Sherbrooke, Sherbrooke, Que.; Department of Family Medicine and Emergency Medicine (Ben Charif, Légaré), Université Laval, Québec, Que.; Department of Family Medicine (Dumas Pilon) and School of Physical & Occupational Therapy, Faculty of Medicine and Health Sciences (Zomahoun), McGill University, Montréal, Que.
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Rashiden I, Ahmad Tajuddin NANB, Yee A, Zhen STE, Bin Amir Nordin AS. The efficacy of smoking ban policy at the workplace on secondhand smoking: systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:29856-29866. [PMID: 32483718 DOI: 10.1007/s11356-020-09407-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 05/21/2020] [Indexed: 06/11/2023]
Abstract
Exposure to secondhand smoke (SHS) in the workplace has led many workplaces to set up smoke-free policies to protect non-smoking employees. Although smoke-free workplaces are pervasive, the intensity of the practice is questionable. The purpose of this review is to identify the pooled prevalence estimate of secondhand smoke at smoke-free workplaces and the factors associated with SHS exposure at the workplace despite existing smoke-free policies. Fourteen studies (total 7458 employees) were identified from Pubmed, ScienceDirect, Cinahl, Scopus, and Web of Science from inception to December 2017. Results indicate that despite the existence of smoke-free policies at the workplace, 14 studies reported exposure to secondhand smoke. The pooled prevalence of the SHS exposure was 0.29 (95% CI = 0.23 to 0.36) (P < 0.001). Male young adults working in the hospitality industry are likely to report exposure to secondhand smoke at the smoke-free workplace. While most of the selected studies show the exposure of SHS within the smoking ban workplace, only two studies reported no exposure to secondhand smoke after implementation of smoke-free policies. Although the smoking ban policy at the workplace has been introduced, there are still a number of employees being affected by secondhand smoke. This indicates that there is still a gap of knowledge, attitude, and practice of non-smokers in strengthening the smoke-free policy at the workplace.
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Affiliation(s)
- Ikmal Rashiden
- Department of Primary Care Medicine (RUKA), Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | | | - Anne Yee
- Department of Psychological Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
| | - Stephen Tan Eyu Zhen
- Department of Psychological Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Amer Siddiq Bin Amir Nordin
- Department of Psychological Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
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Hale J, Hastings J, West R, Lefevre CE, Direito A, Bohlen LC, Godinho C, Anderson N, Zink S, Groarke H, Michie S. An ontology-based modelling system (OBMS) for representing behaviour change theories applied to 76 theories. Wellcome Open Res 2020; 5:177. [PMID: 33215048 PMCID: PMC7653641 DOI: 10.12688/wellcomeopenres.16121.1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2020] [Indexed: 12/16/2022] Open
Abstract
Background: To efficiently search, compare, test and integrate behaviour change theories, they need to be specified in a way that is clear, consistent and computable. An ontology-based modelling system (OBMS) has previously been shown to be able to represent five commonly used theories in this way. We aimed to assess whether the OBMS could be applied more widely and to create a database of behaviour change theories, their constructs and propositions. Methods: We labelled the constructs within 71 theories and used the OBMS to represent the relationships between the constructs. Diagrams of each theory were sent to authors or experts for feedback and amendment. The 71 finalised diagrams plus the five previously generated diagrams were used to create a searchable database of 76 theories in the form of construct-relationship-construct triples. We conducted a set of illustrative analyses to characterise theories in the database. Results: All 71 theories could be satisfactorily represented using this system. In total, 35 (49%) were finalised with no or very minor amendment. The remaining 36 (51%) were finalised after changes to the constructs (seven theories), relationships between constructs (15 theories) or both (14 theories) following author/expert feedback. The mean number of constructs per theory was 20 (min. = 6, max. = 72), with the mean number of triples per theory 31 (min. = 7, max. = 89). Fourteen distinct relationship types were used, of which the most commonly used was 'influences', followed by 'part of'. Conclusions: The OBMS can represent a wide array of behavioural theories in a precise, computable format. This system should provide a basis for better integration and synthesis of theories than has hitherto been possible.
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Affiliation(s)
- Joanna Hale
- Centre for Behaviour Change, University College London, London, UK
| | - Janna Hastings
- Centre for Behaviour Change, University College London, London, UK
| | - Robert West
- Research Department of Epidemiology & Public Health, University College London, London, UK
| | | | - Artur Direito
- Centre for Behaviour Change, University College London, London, UK
| | - Lauren Connell Bohlen
- Centre for Behaviour Change, University College London, London, UK
- Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Cristina Godinho
- Centre for Behaviour Change, University College London, London, UK
- Católica Research Centre for Psychological, Family and Social Wellbeing, Universidade Católica Portuguesa, Lisboa, Portugal
- Center for Research and Social Intervention, Instituto Universitário de Lisboa, Lisboa, Portugal
| | - Niall Anderson
- Centre for Behaviour Change, University College London, London, UK
- NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, UK
| | - Silje Zink
- Centre for Behaviour Change, University College London, London, UK
| | - Hilary Groarke
- Centre for Behaviour Change, University College London, London, UK
| | - Susan Michie
- Centre for Behaviour Change, University College London, London, UK
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Yoong SL, Hall A, Stacey F, Grady A, Sutherland R, Wyse R, Anderson A, Nathan N, Wolfenden L. Nudge strategies to improve healthcare providers' implementation of evidence-based guidelines, policies and practices: a systematic review of trials included within Cochrane systematic reviews. Implement Sci 2020; 15:50. [PMID: 32611354 PMCID: PMC7329401 DOI: 10.1186/s13012-020-01011-0] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 06/16/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Nudge interventions are those that seek to modify the social and physical environment to enhance capacity for subconscious behaviours that align with the intrinsic values of an individual, without actively restricting options. This study sought to describe the application and effects of nudge strategies on clinician implementation of health-related guidelines, policies and practices within studies included in relevant Cochrane systematic reviews. METHODS As there is varied terminology used to describe nudge, this study examined studies within relevant systematic reviews. A two-stage screening process was undertaken where, firstly, all systematic reviews published in the Cochrane Library between 2016 and 2018 were screened to identify reviews that included quantitative studies to improve implementation of guidelines among healthcare providers. Secondly, individual studies within relevant systematic reviews were included if they were (i) randomised controlled trials (RCTs), (ii) included a nudge strategy in at least one intervention arm, and (iii) explicitly aimed to improve clinician implementation behaviour. We categorised nudge strategies into priming, salience and affect, default, incentives, commitment and ego, and norms and messenger based on the Mindspace framework. SYNTHESIS The number and percentage of trials using each nudge strategy was calculated. Due to substantial heterogeneity, we did not undertake a meta-analysis. Instead, we calculated within-study point estimates and 95% confidence intervals, and used a vote-counting approach to explore effects. RESULTS Seven reviews including 42 trials reporting on 57 outcomes were included. The most common nudge strategy was priming (69%), then norms and messenger (40%). Of the 57 outcomes, 86% had an effect on clinician behaviour in the hypothesised direction, and 53% of those were statistically significant. For continuous outcomes, the median effect size was 0.39 (0.22, 0.45), while for dichotomous outcomes the median Odds Ratio was 1.62 (1.13, 2.76). CONCLUSIONS This review of 42 RCTs included in Cochrane systematic reviews found that the impact of nudge strategies on clinician behaviour was at least comparable to other interventions targeting implementation of evidence-based guidelines. While uncertainty remains, the review provides justification for ongoing investigation of the evaluation and application of nudge interventions to support provider behaviour change. TRIAL REGISTRATION This review was not prospectively registered.
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Affiliation(s)
- Sze Lin Yoong
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia.
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia.
- Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, New South Wales, 2308, Australia.
| | - Alix Hall
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
| | - Fiona Stacey
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia
| | - Alice Grady
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
| | - Rachel Sutherland
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
| | - Rebecca Wyse
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
| | - Amy Anderson
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
| | - Nicole Nathan
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, University of Newcastle, Locked Bag 10, Wallsend, New South Wales, 2287, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, 2300, Australia
- Priority Research Centre for Health Behaviour, The University of Newcastle, Callaghan, New South Wales, 2308, Australia
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Mänttäri S, Oksa J, Lusa S, Korkiakangas E, Punakallio A, Oksanen T, Laitinen J. Interventions to promote work ability by increasing physical activity among workers with physically strenuous jobs: A scoping review. Scand J Public Health 2020; 49:206-218. [PMID: 32515284 PMCID: PMC7917572 DOI: 10.1177/1403494820917532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Aims: The potential benefits of workplace physical activity (PA)
interventions are in improving both health and important workplace outcomes.
Despite the differences in PA level between physically strenuous and inactive
work, the literature reporting the effectiveness of the interventions does not
usually differentiate physically active and inactive jobs. The aim of the
current study was therefore to collect and synthesise research evidence on
workplace PA interventions to promote work ability specifically among workers in
physically strenuous jobs by means of a scoping review.
Methods: The databases Medline, Cochrane Central and Scopus
were used to identify interventions to promote work ability by increasing PA
among workers in physically strenuous jobs. An iterative method was used to
obtain an overview of the study elements and to extract details on the study
design, sample, intervention, outcomes and effectiveness.
Results: A total of 47 studies evaluating eight categories
of interventions were found. Out of these, 18 reported significant effects on
work ability. Positive results came from a range of different interventions,
including aerobic exercise, strength training, combined aerobic exercise and
strength training, stretching, yoga, consultation and tailored physical exercise
programmes. Conclusions: Few interventions were effective
in promoting work ability by increasing PA among workers in physically
strenuous jobs. In particular, trials based on the demands of work,
multimodal interventions and applying wearable technology are
needed.
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Affiliation(s)
| | - Juha Oksa
- Finnish Institute of Occupational Health, Finland
| | - Sirpa Lusa
- Finnish Institute of Occupational Health, Finland
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Mobile health (m‐health) smartphone interventions for overweight or obese adolescents and adults. Cochrane Database Syst Rev 2020; 2020:CD013591. [PMCID: PMC7197689 DOI: 10.1002/14651858.cd013591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/30/2023]
Abstract
This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the effects of smartphone‐based m‐health interventions for overweight or obese adolescents and adults.
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Raine G, Thomas S, Rodgers M, Wright K, Eastwood A. Workplace-based interventions to promote healthy lifestyles in the NHS workforce: a rapid scoping and evidence map. HEALTH SERVICES AND DELIVERY RESEARCH 2020. [DOI: 10.3310/hsdr08180] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background
The health and well-being of staff working in the NHS is a significant issue for UK health care. We sought to identify research relevant to the promotion of healthy lifestyles among NHS staff on behalf of NHS England.
Objectives
To map existing reviews on workplace-based interventions to promote health and well-being, and to assess the scope for further evidence synthesis work.
Design
Rapid and responsive scoping search and evidence map.
Participants
Adult employees in any occupational setting and in any role.
Interventions
Any intervention aimed at promoting or maintaining physical or mental health and well-being. Early intervention initiatives and those addressing violence against staff, workplace bullying or harassment were also included.
Main outcome measures
Any outcome related to the effectiveness, cost-effectiveness or implementation of interventions.
Data sources
A scoping search of nine databases was conducted to identify systematic reviews on health and well-being at work. Searches were limited by publication date (2000 to January/February 2019).
Review methods
The titles and abstracts of over 8241 records were screened and a total of 408 potentially relevant publications were identified. Information on key characteristics were extracted from the titles and abstracts of all potentially relevant publications. Descriptive statistics (counts and percentages) for key characteristics were generated and data from reviews and ‘reviews of reviews’ were used to produce the evidence map.
Results
Evidence related to a broad range of physical and mental health issues was identified across 12 ‘reviews of reviews’ and 312 other reviews, including 16 Cochrane reviews. There also exists National Institute for Health and Care Excellence guidance addressing multiple issues of potential relevance. A large number of reviews focused on mental health, changing lifestyle behaviour, such as physical activity, or on general workplace health/health promotion. Most of the reviews that focused only on health-care staff addressed mental health issues, and stress/burnout in particular.
Limitations
The scoping search process was extensive and clearly effective at identifying relevant publications, but the strategy used may not have identified every potentially relevant review. Owing to the large number of potentially relevant reviews identified from the scoping search, it was necessary to produce the evidence map using information from the titles and abstracts of reviews only.
Conclusions
It is doubtful that further evidence synthesis work at this stage would generate substantial new knowledge, particularly within the context of the NHS Health and Wellbeing Framework[NHS England. Workforce Health and Wellbeing Framework. 2018. URL: www.nhsemployers.org/-/media/Employers/Publications/Health-and-wellbeing/NHS-Workforce-HWB-Framework_updated-July-18.pdf (accessed 10 January 2019)] published in 2018. Additional synthesis work may be useful if it addressed an identifiable need and it was possible to identify one of the following: (1) a specific and focused research question arising from the current evidence map; it may then be appropriate to focus on a smaller number of reviews only, and provide a more thorough and critical assessment of the available evidence; and (2) a specific gap in the literature (i.e. an issue not already addressed by existing reviews or guidance); it may then be possible to undertake further literature searching and conduct a new evidence review.
Funding
This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 18. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Gary Raine
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Sian Thomas
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Mark Rodgers
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Kath Wright
- Centre for Reviews and Dissemination, University of York, York, UK
| | - Alison Eastwood
- Centre for Reviews and Dissemination, University of York, York, UK
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Wolfenden L, Barnes C, Jones J, Finch M, Wyse RJ, Kingsland M, Tzelepis F, Grady A, Hodder RK, Booth D, Yoong SL. Strategies to improve the implementation of healthy eating, physical activity and obesity prevention policies, practices or programmes within childcare services. Cochrane Database Syst Rev 2020; 2:CD011779. [PMID: 32036618 PMCID: PMC7008062 DOI: 10.1002/14651858.cd011779.pub3] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Despite the existence of effective interventions and best-practice guideline recommendations for childcare services to implement evidence-based policies, practices and programmes to promote child healthy eating, physical activity and prevent unhealthy weight gain, many services fail to do so. OBJECTIVES The primary aim of the review was to examine the effectiveness of strategies aimed at improving the implementation of policies, practices or programmes by childcare services that promote child healthy eating, physical activity and/or obesity prevention. The secondary aims of the review were to: 1. Examine the cost or cost-effectiveness of such strategies; 2. Examine any adverse effects of such strategies on childcare services, service staff or children; 3. Examine the effect of such strategies on child diet, physical activity or weight status. 4. Describe the acceptability, adoption, penetration, sustainability and appropriateness of such implementation strategies. SEARCH METHODS We searched the following electronic databases on February 22 2019: Cochrane Central Register of Controlled trials (CENTRAL), MEDLINE, MEDLINE In Process, Embase, PsycINFO, ERIC, CINAHL and SCOPUS for relevant studies. We searched reference lists of included studies, handsearched two international implementation science journals, the World Health Organization International Clinical Trials Registry Platform (www.who.int/ictrp/) and ClinicalTrials.gov (www.clinicaltrials.gov). SELECTION CRITERIA We included any study (randomised or nonrandomised) with a parallel control group that compared any strategy to improve the implementation of a healthy eating, physical activity or obesity prevention policy, practice or programme by staff of centre-based childcare services to no intervention, 'usual' practice or an alternative strategy. Centre-based childcare services included preschools, nurseries, long daycare services and kindergartens catering for children prior to compulsory schooling (typically up to the age of five to six years). DATA COLLECTION AND ANALYSIS Two review authors independently screened study titles and abstracts, extracted study data and assessed risk of bias; we resolved discrepancies via consensus. We performed meta-analysis using a random-effects model where studies with suitable data and homogeneity were identified; otherwise, findings were described narratively. MAIN RESULTS Twenty-one studies, including 16 randomised and five nonrandomised, were included in the review. The studies sought to improve the implementation of policies, practices or programmes targeting healthy eating (six studies), physical activity (three studies) or both healthy eating and physical activity (12 studies). Studies were conducted in the United States (n = 12), Australia (n = 8) and Ireland (n = 1). Collectively, the 21 studies included a total of 1945 childcare services examining a range of implementation strategies including educational materials, educational meetings, audit and feedback, opinion leaders, small incentives or grants, educational outreach visits or academic detailing, reminders and tailored interventions. Most studies (n = 19) examined implementation strategies versus usual practice or minimal support control, and two compared alternative implementation strategies. For implementation outcomes, six studies (one RCT) were judged to be at high risk of bias overall. The review findings suggest that implementation strategies probably improve the implementation of policies, practices or programmes that promote child healthy eating, physical activity and/or obesity prevention in childcare services. Of the 19 studies that compared a strategy to usual practice or minimal support control, 11 studies (nine RCTs) used score-based measures of implementation (e.g. childcare service nutrition environment score). Nine of these studies were included in pooled analysis, which found an improvement in implementation outcomes (SMD 0.49; 95% CI 0.19 to 0.79; participants = 495; moderate-certainty evidence). Ten studies (seven RCTs) used dichotomous measures of implementation (e.g. proportion of childcare services implementing a policy or specific practice), with seven of these included in pooled analysis (OR 1.83; 95% CI 0.81 to 4.11; participants = 391; low-certainty evidence). Findings suggest that such interventions probably lead to little or no difference in child physical activity (four RCTs; moderate-certainty evidence) or weight status (three RCTs; moderate-certainty evidence), and may lead to little or no difference in child diet (two RCTs; low-certainty evidence). None of the studies reported the cost or cost-effectiveness of the intervention. Three studies assessed the adverse effects of the intervention on childcare service staff, children and parents, with all studies suggesting they have little to no difference in adverse effects (e.g. child injury) between groups (three RCTs; low-certainty evidence). Inconsistent quality of the evidence was identified across review outcomes and study designs, ranging from very low to moderate. The primary limitation of the review was the lack of conventional terminology in implementation science, which may have resulted in potentially relevant studies failing to be identified based on the search terms used. AUTHORS' CONCLUSIONS Current research suggests that implementation strategies probably improve the implementation of policies, practices or programmes by childcare services, and may have little or no effect on measures of adverse effects. However such strategies appear to have little to no impact on measures of child diet, physical activity or weight status.
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Affiliation(s)
- Luke Wolfenden
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Courtney Barnes
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Jannah Jones
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Meghan Finch
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Rebecca J Wyse
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Melanie Kingsland
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Flora Tzelepis
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Alice Grady
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
| | - Rebecca K Hodder
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
| | - Debbie Booth
- University of NewcastleAuchmuty LibraryUniversity DriveCallaghanNSWAustralia2308
| | - Sze Lin Yoong
- University of NewcastleSchool of Medicine and Public HealthCallaghanNSWAustralia2308
- Hunter Medical Research InstituteNew LambtonAustralia
- Hunter New England Local Health DistrictHunter New England Population HealthWallsendAustralia
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Wolfenden L, Bolsewicz K, Grady A, McCrabb S, Kingsland M, Wiggers J, Bauman A, Wyse R, Nathan N, Sutherland R, Hodder RK, Fernandez M, Lewis C, Taylor N, McKay H, Grimshaw J, Hall A, Moullin J, Albers B, Batchelor S, Attia J, Milat A, Bailey A, Rissel C, Reeves P, Sims-Gould J, Mildon R, Doran C, Yoong SL. Optimisation: defining and exploring a concept to enhance the impact of public health initiatives. Health Res Policy Syst 2019; 17:108. [PMID: 31888666 PMCID: PMC6937822 DOI: 10.1186/s12961-019-0502-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 10/31/2019] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Repeated, data-driven optimisation processes have been applied in many fields to rapidly transform the performance of products, processes and interventions. While such processes may similarly be employed to enhance the impact of public health initiatives, optimisation has not been defined in the context of public health and there has been little exploration of its key concepts. METHODS We used a modified, three-round Delphi study with an international group of researchers, public health policy-makers and practitioners to (1) generate a consensus-based definition of optimisation in the context of public health and (2i) describe key considerations for optimisation in that context. A pre-workshop literature review and elicitation of participant views regarding optimisation in public health (round 1) were followed by a daylong workshop and facilitated face-to-face group discussions to refine the definition and generate key considerations (round 2); finally, post-workshop discussions were undertaken to refine and finalise the findings (round 3). A thematic analysis was performed at each round. Study findings reflect an iterative consultation process with study participants. RESULTS Thirty of 33 invited individuals (91%) participated in the study. Participants reached consensus on the following definition of optimisation in public health: "A deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints". A range of optimisation considerations were explored. Optimisation was considered most suitable when existing public health initiatives are not sufficiently effective, meaningful improvements from an optimisation process are anticipated, quality data to assess impacts are routinely available, and there are stable and ongoing resources to support it. Participants believed optimisation could be applied to improve the impacts of an intervention, an implementation strategy or both, on outcomes valued by stakeholders or end users. While optimisation processes were thought to be facilitated by an understanding of the mechanisms of an intervention or implementation strategy, no agreement was reached regarding the best approach to inform decisions about modifications to improve impact. CONCLUSIONS The study findings provide a strong basis for future research to explore the potential impact of optimisation in the field of public health.
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Affiliation(s)
- Luke Wolfenden
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | | | - Alice Grady
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Sam McCrabb
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
| | - Melanie Kingsland
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - John Wiggers
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
| | - Adrian Bauman
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia
| | - Rebecca Wyse
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Nicole Nathan
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Rachel Sutherland
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Rebecca Kate Hodder
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Maria Fernandez
- Centre for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Centre, Houston, TX United States of America
| | - Cara Lewis
- Kaiser Permanent Washington Health Research Institute, Seattle, WA United States of America
| | - Natalie Taylor
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia
- Cancer Council NSW, Woollomooloo, NSW Australia
| | - Heather McKay
- Centre for Hip Health and Mobility, Robert H N Ho Research Centre, University of British Columbia, Vancouver, BC Canada
| | | | - Alix Hall
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Joanna Moullin
- Faculty of Health Sciences, School of Pharmacy and Biomedical Sciences, Curtin University, Perth, WA Australia
| | - Bianca Albers
- European Implementation Collaborative, Sydney, Australia
| | | | - John Attia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Andrew Milat
- NSW Ministry of Health, North Sydney, NSW Australia
| | - Andrew Bailey
- Mid North Coast Local Health District, Port Macquarie, NSW Australia
| | - Chris Rissel
- Faculty of Medicine and Health, University of Sydney, Camperdown, NSW Australia
- NSW Office of Preventive Health, Liverpool, NSW Australia
| | - Penny Reeves
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
| | - Joanie Sims-Gould
- Centre for Hip Health and Mobility, Robert H N Ho Research Centre, University of British Columbia, Vancouver, BC Canada
| | - Robyn Mildon
- Centre for Evidence and Implementation, Carlton, VIC Australia
| | - Chris Doran
- Central Queensland University, North Rockhampton, QLD Australia
| | - Sze Lin Yoong
- Hunter New England Local Health District, Wallsend, NSW Australia
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW Australia
- Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, Australia
- Hunter Medical Research Institute, Newcastle, NSW Australia
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48
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Doherty E, Kingsland M, Wolfenden L, Wiggers J, Dray J, Hollis J, Elliott EJ, Daly JB, Bailey KA, Attia J, Hunter M, Symonds I, Tully B, Tremain D, Hodder RK. Implementation strategies to improve preconception and antenatal care for tobacco smoking, alcohol consumption and weight management: a systematic review protocol. Syst Rev 2019; 8:285. [PMID: 31759397 PMCID: PMC6874816 DOI: 10.1186/s13643-019-1193-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 10/09/2019] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Despite existing best practice care recommendations for addressing tobacco smoking, alcohol consumption and weight management in preconception and antenatal care, such recommendations are often not implemented into routine practice. Effective strategies that target known barriers to implementation are key to reducing this evidence to practice gap. The aim of this review is to synthesise the evidence on the effectiveness of implementation strategies in improving the provision of preconception and antenatal care for these modifiable risk factors. METHODS Randomised and non-randomised study designs will be eligible for inclusion if they have a parallel control group. We will include studies that either compare an implementation strategy to usual practice or compare two or more strategies. Participants may include any health service providing preconception or antenatal care to women and/or the health professionals working within such a service. The primary outcome will be any measure of the effectiveness of implementation strategies to improve preconception and/or antenatal care for tobacco smoking, alcohol consumption and/or weight management (including care to improve nutrition and/or physical activity). Secondary outcomes will include the effect of the implementation strategy on women's modifiable risk factors, estimates of absolute costs or cost-effectiveness and any reported unintentional consequences. Eligible studies will be identified via searching Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, Maternity and Infant Care, CINAHL, ProQuest Dissertations and Theses and other sources (e.g. contacting experts in the field). Study selection, data extraction and risk of bias will be assessed independently by two review authors and differences resolved by a third reviewer. If data permits, we will conduct fixed-effects or random-effects meta-analysis where appropriate. If studies do not report the same outcome or there is significant heterogeneity, results will be summarised narratively. DISCUSSION This review will identify which implementation strategies are effective in improving the routine provision of preconception and antenatal care for tobacco smoking, alcohol consumption and weight management. Such a review will be of interest to service providers, policy makers and implementation researchers seeking to improve women's modifiable risk factors in preconception and antenatal care settings. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42019131691.
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Affiliation(s)
- Emma Doherty
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia. .,School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia. .,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
| | - Melanie Kingsland
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - John Wiggers
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Julia Dray
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Jenna Hollis
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Elizabeth J Elliott
- Faculty of Medicine and Health and Discipline of Child and Adolescent Health, University of Sydney, Sydney, New South Wales, Australia.,Sydney Children's Hospital Network, Kids' Research Institute, Westmead, New South Wales, Australia
| | - Justine B Daly
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Kylie A Bailey
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Primary Care, Newcastle, New South Wales, Australia
| | - John Attia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Mandy Hunter
- Maternity and Gynaecology John Hunter Hospital, New Lambton Heights, New South Wales, Australia
| | - Ian Symonds
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
| | - Belinda Tully
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Danika Tremain
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Locked Bag 10, Wallsend, New South Wales, 2287, Australia.,School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.,Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
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Dodd-Reynolds CJ, Nevens L, Oliver EJ, Finch T, Lake AA, Hanson CL. Prototyping for public health in a local context: a streamlined evaluation of a community-based weight management programme (Momenta), Northumberland, UK. BMJ Open 2019; 9:e029718. [PMID: 31676645 PMCID: PMC6830698 DOI: 10.1136/bmjopen-2019-029718] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVES Stakeholder co-production in design of public health programmes may reduce the 'implementation gap' but can be time-consuming and costly. Prototyping, iterative refining relevant to delivery context, offers a potential solution. This evaluation explored implementation and lessons learnt for a 12-week referral-based weight-management programme, 'Momenta', along with feasibility of an iterative prototyping evaluation framework. DESIGN Mixed methods evaluation: Qualitative implementation exploration with referrers and service users; preliminary analysis of anonymised quantitative service data (12 and 52 weeks). SETTING Two leisure centres in Northumberland, North East England. PARTICIPANTS Individual interviews with referring professionals (n=5) and focus groups with service users (n=13). Individuals (n=182) referred by healthcare professionals (quantitative data). INTERVENTIONS Three 12-week programme iterations: Momenta (n=59), Momenta-Fitness membership (n=58) and Fitness membership only (n=65). PRIMARY AND SECONDARY OUTCOME MEASURES Primary outcome: Qualitative themes developed through stakeholder-engagement. Secondary outcomes included preliminary exploration of recruitment, uptake, retention, and changes in weight, body mass index, waist circumference and psychological well-being. RESULTS Service users reported positive experiences of Momenta. Implementation gaps were revealed around the referral process and practitioner knowledge. Prototyping enabled iterative refinements such as broadening inclusion criteria. Uptake and 12-week retention were higher for Momenta (84.7%, 45.8%) and Momenta-Fitness (93.1%, 60.3%) versus Fitness only (75.4%, 24.6%). Exploration of other preliminary outcomes (completers only) suggested potential for within-group weight loss and increased psychological well-being for Momenta and Momenta-Fitness at 12 weeks. 52 week follow-up data were limited (32%, 33% and 6% retention for those who started Momenta, Momenta-Fitness and Fitness, respectively) but suggested potential weight loss maintenance for Momenta-Fitness. CONCLUSIONS Identification of issues within the referral process enabled real-time iterative refinement, while lessons learnt may be of value for local implementation of 'off-the-shelf' weight management packages more generally. Our preliminary data for completers suggest Momenta may have potential for weight loss, particularly when offered with a fitness membership.
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Affiliation(s)
- Caroline J Dodd-Reynolds
- Department of Sport and Exercise Sciences, Durham University, Durham, UK
- Wolfson Research Institute for Health and Wellbeing Physical Activity Special Interest Group, Durham University, Durham, UK
| | - Lisa Nevens
- Northumbria Healthcare NHS Foundation Trust, Northumberland, UK
| | - Emily J Oliver
- Department of Sport and Exercise Sciences, Durham University, Durham, UK
- Wolfson Research Institute for Health and Wellbeing Physical Activity Special Interest Group, Durham University, Durham, UK
| | - Tracy Finch
- Department of Nursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK
| | - Amelia A Lake
- Department of Science, School of Science, Engineering and Design, Teesside University, Teesside, UK
- Fuse - UKCRC Centre for Translational Research in Public Health, North East England, UK
| | - Coral L Hanson
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
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50
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LAZZERI G, FERRETTI F, POZZA A, DORI F, VOLPE E, GIOVANNINI V, GUSINU R. The Workplace Health Promotion (WHP) programme in an Italian University Hospital. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2019; 60:E243-E249. [PMID: 31650061 PMCID: PMC6797891 DOI: 10.15167/2421-4248/jpmh2019.60.3.1278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 05/31/2019] [Indexed: 11/17/2022]
Abstract
Introduction Description of the lifestyles of employees of the Siena University Hospital (Azienda Ospedaliera Universitaria Senese: AOUS), as assessed through a Workplace Health Promotion (WHP) project in the two-year period 2017-18; assessment of possible short-term effects of integrated health promotion interventions in the workplace, within the framework of the Tuscany WHP network, as applied in the AOUS and involving about 1,000 workers. Methods A cross-sectional study and a pre-post evaluation of data collected by means of anonymous questionnaires in two phases: before the beginning of the programme and after 12 months. Results Twelve months after the start of the programme regarding diet (consumption of fruit and vegetables) and physical activity, the positive effects that emerged were not statistically significant. No differences were observed between gender or professional categories. The employees’ perception of the programme was satisfactory. Conclusions Albeit within the methodological limits of the assessment, the results showed that the diffusion of some major risk factors for chronic diseases had not decreased after 12 months’ exposure to the programme. However, monitoring of these risk factors needs to be continued over a longer period, in order to detect the appearance of the expected changes in the long term. Moreover, it is essential to continue monitoring by sex and professional category, in order to pick out any differences and, if possible, take remedial actions. Further studies, in collaboration with the pertinent physicians, are desirable, since integrating data collected during health surveillance with a limited set of indicators of general risk factors may help to promptly identify possible health needs among employees.
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Affiliation(s)
- G. LAZZERI
- University Hospital of Siena, Italy
- Department Molecular and Developmental Medicine University of Siena, Italy
- Correspondence: Giacomo Lazzeri, Department of Molecular and Developmental Medicine, University Hospital of Siena, via Aldo Moro 2, 53100 Siena, Italy - Tel. +39 0577 234156 - Fax +39 0577 234090 - E-mail:
| | - F. FERRETTI
- University Hospital of Siena, Italy
- Department of Medical Sciences, Surgery and Neurosciences, University of Siena, Italy
| | - A. POZZA
- University Hospital of Siena, Italy
- Department of Medical Sciences, Surgery and Neurosciences, University of Siena, Italy
| | - F. DORI
- University Hospital of Siena, Italy
| | - E. VOLPE
- University Hospital of Siena, Italy
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