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Khairudin MN, Vallikkannu N, Gan F, Hamdan M, Tan PC. Electric massage chairs reduce labor pain in nulliparous patients: a randomized crossover trial. Am J Obstet Gynecol MFM 2024; 6:101324. [PMID: 38447674 DOI: 10.1016/j.ajogmf.2024.101324] [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] [Received: 12/02/2023] [Revised: 02/06/2024] [Accepted: 02/27/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND Labor pain varies significantly among pregnant women, ranging from mild to extremely distressing. Nonpharmacologic pain relief methods during vaginal birth are increasingly popular, either as a complement to pharmacologic agents or, at times, as the primary method of pain relief. Multiple trials have reported that manual or by-hand massage reduces labor pain. The effectiveness of full-body mechanical massage using electric massage chairs on labor pain remains unexplored. OBJECTIVE This study aimed to evaluate mechanical massage using an electric massage chair on labor pain in nulliparous women. STUDY DESIGN A randomized counterbalanced crossover trial was conducted in a university hospital in Malaysia from August 2022 to February 2023. Eligible nulliparas in labor with a minimum labor pain score of 5 (0-10 numerical rating scale) were enrolled. Participants were randomized to 30 minutes on the massage chair with mechanical massage followed by 30 minutes on the massage chair without mechanical massage or the other way around in the massage sequence. The primary outcome was a change in pain score comparing pain with and without mechanical massage as a paired comparison for the entire trial participants. The secondary outcomes were across arms analyses of maternal and neonatal outcomes. The paired t test, t test, Mann-Whitney U test, chi-square test, and Fisher exact test were used as appropriate for the data. RESULTS Overall, 208 women were randomized: 104 to each intervention. Data were available from 204 participants (103 randomized to massage first and 101 to no massage first). The primary outcomes of change in labor pain scores (0-10 numerical rating scale) after massage and no massage (all participants included after crossover, paired t test analysis) were 4.51±2.30 and 5.38±2.10, respectively (mean difference, -0.87; 95% confidence interval, -1.14 to -0.59; P<.001), a significant reduction in pain score after electric chair mechanical massage compared with no massage. On the across randomized arms secondary analyses, labor pain scores after their first massage chair session were 4.35±2.52 (randomized to massage first, received massage as initial intervention) and 5.66±1.73 (randomized to no massage first, received no massage as initial intervention) (mean difference, -1.31; 95% confidence interval, -1.91 to -0.748; P<.001), a significant reduction after mechanical massage. Other distal maternal outcomes (mode of delivery, labor analgesia, duration of labor, and maternal agreement that mechanical massage is effective for labor pain) and neonatal outcomes (Apgar scores at 1 and 5 minutes, cord artery blood pH and base excess, and neonatal admission) were not different across randomized arms. CONCLUSION Mechanical massage using an electric massage chair significantly reduced labor pain, offering a potential nonpharmacologic pain management option during labor.
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Affiliation(s)
- Maziatun Nadia Khairudin
- Faculty of Medicine, Department of Obstetrics and Gynecology, Universiti Malaya, Kuala Lumpur, Malaysia (Drs Khairudin, Vallikkannu, Gan, Hamdan, and Tan); Department of Obstetrics and Gynecology, Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia (Dr Khairudin)
| | - Narayanan Vallikkannu
- Faculty of Medicine, Department of Obstetrics and Gynecology, Universiti Malaya, Kuala Lumpur, Malaysia (Drs Khairudin, Vallikkannu, Gan, Hamdan, and Tan)
| | - Farah Gan
- Faculty of Medicine, Department of Obstetrics and Gynecology, Universiti Malaya, Kuala Lumpur, Malaysia (Drs Khairudin, Vallikkannu, Gan, Hamdan, and Tan)
| | - Mukhri Hamdan
- Faculty of Medicine, Department of Obstetrics and Gynecology, Universiti Malaya, Kuala Lumpur, Malaysia (Drs Khairudin, Vallikkannu, Gan, Hamdan, and Tan)
| | - Peng Chiong Tan
- Faculty of Medicine, Department of Obstetrics and Gynecology, Universiti Malaya, Kuala Lumpur, Malaysia (Drs Khairudin, Vallikkannu, Gan, Hamdan, and Tan).
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Bell JS, La Caze A, Steeper M, Haines TP, Hilmer SN, Troeung L, Quirke L, Wesson J, Pond CD, Buys L, Ghahreman-Falconer N, Lawless MT, Shrestha S, Martini A, Ochieng N, Glamorgan F, Lagasca C, Walton R, Cenin D, Kitson A, Jung M, Bennett A, Cross AJ. Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE): protocol for a helix-counterbalanced randomised controlled trial. Implement Sci 2024; 19:24. [PMID: 38438918 PMCID: PMC10913248 DOI: 10.1186/s13012-024-01353-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 02/13/2024] [Indexed: 03/06/2024] Open
Abstract
INTRODUCTION Clinical practice guidelines recommend against the routine use of psychotropic medications in residential aged care facilities (RACFs). Knowledge brokers are individuals or groups who facilitate the transfer of knowledge into practice. The objective of this trial is to evaluate the effectiveness and cost-effectiveness of using knowledge brokers to translate Australia's new Clinical Practice Guidelines for the Appropriate Use of Psychotropic Medications in People Living with Dementia and in Residential Aged Care. METHODS AND ANALYSIS The Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE) trial is a helix-counterbalanced randomised controlled trial. The 12-month trial will be conducted in up to 19 RACFs operated by four Australian aged care provider organisations in Victoria, New South Wales, Western Australia and Queensland. RACFs will be randomised to receive three levels of implementation strategies (knowledge broker service, pharmacist-led quality use of medications education activities and distribution of the Guidelines and supporting materials) across three medication contexts (antipsychotics, benzodiazepines and antidepressants). Implementation strategies will be delivered by an embedded on-site aged care pharmacist working at a system level across each participating RACF. All RACFs will receive all implementation strategies simultaneously but for different medication contexts. The primary outcome will be a composite dichotomous measure of 6-month RACF-level concordance with Guideline recommendations and good practice statements among people using antipsychotics, benzodiazepines and antidepressants for changed behaviours. Secondary outcomes will include proportion of residents with Guideline concordant use of antipsychotics, benzodiazepines and antidepressants measured at the RACF-level and proportion of residents with psychotropic medication use, hospitalisation, falls, falls with injury, polypharmacy, quality of life, activities of daily living, medication incidents and behavioural incidents measured at the RACF-level. DISCUSSION The EMBRACE trial investigates a novel guideline implementation strategy to improve the safe and effective use of psychotropic medications in RACFs. We anticipate that the findings will provide new information on the potential role of knowledge brokers for successful and cost-effective guideline implementation. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12623001141639. Registered 6 November 2023 - retrospectively registered, https://www.anzctr.org.au/TrialSearch.aspx .
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Affiliation(s)
- J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville Campus, Parkville, VIC, 3052, Australia.
| | - Adam La Caze
- School of Pharmacy, The University of Queensland, Dutton Park, QLD, Australia
| | - Michelle Steeper
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville Campus, Parkville, VIC, 3052, Australia
| | - Terry P Haines
- Faculty of Medicine Nursing and Health Sciences, School of Primary and Allied Health Care, Monash University, Clayton, VIC, Australia
- National Centre for Healthy Ageing, Frankston, VIC, Australia
| | - Sarah N Hilmer
- Kolling Institute, Faculty of Medicine and Health, The University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
- New South Wales Therapeutic Advisory Group, Sydney, NSW, Australia
| | - Lakkhina Troeung
- Brightwater Research Centre, Brightwater Care Group, Inglewood, WA, Australia
| | | | - Jacqueline Wesson
- Ageing and Health Research Unit, Discipline of Occupational Therapy, Faculty of Medicine and Health, Sydney School of Health Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Constance Dimity Pond
- Wicking Dementia Research and Teaching Centre, University of Tasmania, Hobart, TAS, Australia
| | - Laurie Buys
- Faculty of Health Sciences, Australian Catholic University, Brisbane, QLD, Australia
| | - Nazanin Ghahreman-Falconer
- School of Pharmacy, The University of Queensland, Dutton Park, QLD, Australia
- Pharmacy Department, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Michael T Lawless
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Shakti Shrestha
- School of Pharmacy, The University of Queensland, Dutton Park, QLD, Australia
| | - Angelita Martini
- Brightwater Research Centre, Brightwater Care Group, Inglewood, WA, Australia
| | - Nancy Ochieng
- Lifeview Corporate Lifeview Pty Ltd., Carnegie, VIC, Australia
| | | | - Carmela Lagasca
- Anglicare Southern Queensland, Fortitude Valley, QLD, Australia
| | - Rebecca Walton
- Brightwater Research Centre, Brightwater Care Group, Inglewood, WA, Australia
| | - Dayna Cenin
- Brightwater Research Centre, Brightwater Care Group, Inglewood, WA, Australia
| | - Alison Kitson
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | - Monica Jung
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville Campus, Parkville, VIC, 3052, Australia
| | | | - Amanda J Cross
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville Campus, Parkville, VIC, 3052, Australia.
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Ceylan Hİ, Öztürk ME, Öztürk D, Silva AF, Albayrak M, Saygın Ö, Eken Ö, Clemente FM, Nobari H. Acute effect of moderate and high-intensity interval exercises on asprosin and BDNF levels in inactive normal weight and obese individuals. Sci Rep 2023; 13:7040. [PMID: 37120612 PMCID: PMC10148865 DOI: 10.1038/s41598-023-34278-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 04/27/2023] [Indexed: 05/01/2023] Open
Abstract
This study aimed to examine the acute effects of moderate-intensity aerobic and high-intensity interval exercise protocols on Asprosin and Brain-Derived Neurotrophic Factor (BDNF) levels in inactive normal weight and obese individuals. A total of 20 male individuals aged 18-65 years, ten normal weight (NW) (Body Mass Index (BMI): 18.5-24.99 kg/m2) and 10 obese (Ob) (BMI: 24.99-35.00 kg/m2) participated in this study, voluntarily. Moderate aerobic exercise (AE) (main circuit 30 min, between 40 and 59% of Heart Rate Reserve: HRR) and High-Intensity Interval exercise (HIIE) running protocols (main circuit 20 min, between 75 and 90% of the HRR for 1 min*10 times, and 1-min active rest at 30% of the HRR) was applied to the volunteer participants in the morning hours (08.00-10.00 a.m.), following the night fasting (at least 8-10 h) for at least 3 days between each other. Blood samples were collected from the participants before and immediately after each exercise protocol, and serum asprosin and BDNF hormone levels were determined by Enzyme-Linked Immunosorbent Assay" method. Basal serum asprosin was found to be significantly higher in the Ob group compared to the NW group (p < .001), while the basal serum BDNF hormone was found to be lower (p < 0.05). It was observed that the serum asprosin level of both groups decreased significantly after both AE and HIIE protocols (p < 0.05). In addition, there was a significantly higher decrease in serum asprosin level in the Ob group compared to the NW group after HIIE protocol. For the Ob group, serum BDNF level increased considerably after HIIE protocol compared to AE protocol (p < 0.05). Serum asprosin was found to be higher in the Ob group, while the serum BDNF was found to be lower. In addition, the acute exercises of different intensity significantly affected hormones that regulate appetite metabolism. In particular, it was observed that the HIIE protocol had a greater effect on the regulation of appetite (hunger-satiety) in the Ob group. This result can be taken into account when planning training programs for these individuals.
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Affiliation(s)
- Halil İbrahim Ceylan
- Physical Education and Sports Teaching Department, Kazim Karabekir Faculty of Education, Ataturk University, Erzurum, Turkey
| | - Mehmet Ertuğrul Öztürk
- Physical Education and Sports Teaching Department, Kazim Karabekir Faculty of Education, Ataturk University, Erzurum, Turkey
| | - Deniz Öztürk
- Vocational School of Health Services, Ataturk University, Erzurum, Turkey
| | - Ana Filipa Silva
- Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun'Álvares, 4900-347, Viana do Castelo, Portugal
- The Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), 5001-801, Vila Real, Portugal
- Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320, Melgaço, Portugal
| | - Mevlüt Albayrak
- Vocational School of Health Services, Ataturk University, Erzurum, Turkey
| | - Özcan Saygın
- Coaching Science, Faculty of Sports Sciences, Mugla Sitki Kocman University, Muğla, Turkey
| | - Özgür Eken
- Department of Physical Education and Sport Teaching, Faculty of Sports Sciences, Inonu University, Malatya, Turkey
| | - Filipe Manuel Clemente
- Escola Superior Desporto e Lazer, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun'Álvares, 4900-347, Viana do Castelo, Portugal
- Instituto de Telecomunicações, Delegação da Covilhã, 1049-001, Lisbon, Portugal
| | - Hadi Nobari
- Department of Exercise Physiology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, 56199-11367, Iran.
- Faculty of Sport Sciences, University of Extremadura, 10003, Cáceres, Spain.
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Sarkies M, Jones LK, Pang J, Sullivan D, Watts GF. How Can Implementation Science Improve the Care of Familial Hypercholesterolaemia? Curr Atheroscler Rep 2023; 25:133-143. [PMID: 36806760 PMCID: PMC10027803 DOI: 10.1007/s11883-023-01090-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Describe the application of implementation science to improve the detection and management of familial hypercholesterolaemia. RECENT FINDINGS Gaps between evidence and practice, such as underutilization of genetic testing, family cascade testing, failure to achieve LDL-cholesterol goals and low levels of knowledge and awareness, have been identified through clinical registry analyses and clinician surveys. Implementation science theories, models and frameworks have been applied to assess barriers and enablers in the literature specific to local contextual factors (e.g. stages of life). The effect of implementation strategies to overcome these factors has been evaluated; for example, automated identification of individuals with FH or training and education to improve statin adherence. Clinical registries were identified as a key infrastructure to monitor, evaluate and sustain improvements in care. The expansion in evidence supporting the care of familial hypercholesterolaemia requires a similar expansion of efforts to translate new knowledge into clinical practice.
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Affiliation(s)
- Mitchell Sarkies
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia.
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Laney K Jones
- Department of Genomic Health, Research Institute, Geisinger, Danville, PA, USA
- Heart and Vascular Institute, Geisinger, Danville, PA, USA
| | - Jing Pang
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - David Sullivan
- Department of Chemical Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, WA, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
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Chang AB, Boyd J, Bush A, Hill AT, Powell Z, Zacharasiewicz A, Alexopoulou E, Chalmers JD, Collaro AJ, Constant C, Douros K, Fortescue R, Griese M, Grigg J, Hector A, Karadag B, Mazulov O, Midulla F, Moeller A, Proesmans M, Wilson C, Yerkovich ST, Kantar A, Grimwood K. Quality standards for managing children and adolescents with bronchiectasis: an international consensus. Breathe (Sheff) 2022; 18:220144. [PMID: 36865655 PMCID: PMC9973502 DOI: 10.1183/20734735.0144-2022] [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] [Received: 05/20/2022] [Accepted: 08/08/2022] [Indexed: 11/16/2022] Open
Abstract
The global burden of bronchiectasis in children and adolescents is being recognised increasingly. However, marked inequity exists between, and within, settings and countries for resources and standards of care afforded to children and adolescents with bronchiectasis compared with those with other chronic lung diseases. The European Respiratory Society (ERS) clinical practice guideline for the management of bronchiectasis in children and adolescents was published recently. Here we present an international consensus of quality standards of care for children and adolescents with bronchiectasis based upon this guideline. The panel used a standardised approach that included a Delphi process with 201 respondents from the parents and patients' survey, and 299 physicians (across 54 countries) who care for children and adolescents with bronchiectasis. The seven quality standards of care statements developed by the panel address the current absence of quality standards for clinical care related to paediatric bronchiectasis. These internationally derived, clinician-, parent- and patient-informed, consensus-based quality standards statements can be used by parents and patients to access and advocate for quality care for their children and themselves, respectively. They can also be used by healthcare professionals to advocate for their patients, and by health services as a monitoring tool, to help optimise health outcomes.
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Affiliation(s)
- Anne B. Chang
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Australia
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, Australia
- NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), Child Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | | | - Andrew Bush
- Department of Paediatric Respiratory Medicine, Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial School of Medicine, London, UK
| | - Adam T. Hill
- Dept of Respiratory Medicine, Royal Infirmary, Edinburgh, UK
- University of Edinburgh, Edinburgh, UK
| | - Zena Powell
- European Lung Foundation Bronchiectasis Paediatric Patient Advisory Group
| | - Angela Zacharasiewicz
- Department of Pediatrics, and Adolescent Medicine, Teaching Hospital of the University of Vienna, Wilhelminen Hospital, Klinik Ottakring, Vienna, Austria
| | - Efthymia Alexopoulou
- 2nd Radiology Department, National and Kapodistrian University of Athens, Attikon University Hospital, Athens, Greece
| | - James D. Chalmers
- College of Medicine, University of Dundee, Dundee, UK
- Ninewells Hospital and Medical School, Dundee, UK
| | - Andrew J. Collaro
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Australia
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, Australia
| | - Carolina Constant
- Department of Pediatrics, Hospital de Santa Maria and Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Konstantinos Douros
- Allergology and Pulmonology Unit, 3rd Paediatric Dept, National and Kapodistrian University of Athens, Athens, Greece
| | - Rebecca Fortescue
- Population Health Research Institute, St George's University of London, London, UK
| | - Matthias Griese
- Department of Pediatrics, Dr. von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Jonathan Grigg
- Centre for Genomics and Child Health, Blizard Institute, Queen Mary University of London, London, UK
| | - Andreas Hector
- Division of Respiratory Medicine, University Children's Hospital Zurich, Zurich, Switzerland
- Childhood Research Center, Zurich, Switzerland
| | - Bulent Karadag
- Division of Pediatric Pulmonology, Marmara University Faculty of Medicine, Istanbul, Turkey
| | - Oleksandr Mazulov
- National Pirogov Medical University, Vinnytsya, Ukraine
- Vinnytsya Children's Regional Hospital, Pulmonology Dept, Vinnytsya, Ukraine
| | - Fabio Midulla
- Department of Maternal Science, Sapienza University of Rome, Rome, Italy
| | - Alexander Moeller
- Division of Respiratory Medicine, University Children's Hospital Zurich, Zurich, Switzerland
- Childhood Research Center, Zurich, Switzerland
| | - Marijke Proesmans
- Department of Pediatrics, Pediatric Pulmonology, University Hospital of Leuven, Leuven, Belgium
| | - Christine Wilson
- Department of Physiotherapy, Queensland Children's Hospital, Brisbane, Australia
| | - Stephanie T. Yerkovich
- Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, Australia
- Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, Brisbane, Australia
- NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), Child Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Australia
| | - Ahmad Kantar
- Pediatric Asthma and Cough Centre, Istituti Ospedalieri Bergamaschi, University and Research Hospitals, Bergamo, Italy
- Both authors contributed equally to this article as senior authors
| | - Keith Grimwood
- NHMRC Centre for Research Excellence in Paediatric Bronchiectasis (AusBREATHE), School of Medicine and Dentistry, and Menzies Health Institute Queensland, Griffith University, Southport, Australia
- Departments of Infectious Diseases and Paediatrics, Gold Coast Health, Southport, Australia
- Both authors contributed equally to this article as senior authors
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Ryan N, Vieira D, Gyamfi J, Ojo T, Shelley D, Ogedegbe O, Iwelunmor J, Peprah E. Development of the ASSESS tool: a comprehenSive tool to Support rEporting and critical appraiSal of qualitative, quantitative, and mixed methods implementation reSearch outcomes. Implement Sci Commun 2022; 3:34. [PMID: 35346390 PMCID: PMC8959802 DOI: 10.1186/s43058-021-00236-4] [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: 02/09/2021] [Accepted: 11/03/2021] [Indexed: 11/25/2022] Open
Abstract
Background Several tools to improve reporting of implementation studies for evidence-based decision making have been created; however, no tool for critical appraisal of implementation outcomes exists. Researchers, practitioners, and policy makers lack tools to support the concurrent synthesis and critical assessment of outcomes for implementation research. Our objectives were to develop a comprehensive tool to (1) describe studies focused on implementation that use qualitative, quantitative, and/or mixed methodologies and (2) assess risk of bias of implementation outcomes. Methods A hybrid consensus-building approach combining Delphi Group and Nominal Group techniques (NGT) was modeled after comparative methodologies for developing health research reporting guidelines and critical appraisal tools. First, an online modified NGT occurred among a small expert panel (n = 5), consisting of literature review, item generation, round robin with clarification, application of the tool to various study types, voting, and discussion. This was followed by a larger e-consensus meeting and modified Delphi process with implementers and implementation scientists (n = 32). New elements and elements of various existing tools, frameworks, and taxonomies were combined to produce the ASSESS tool. Results The 24-item tool is applicable to a broad range of study designs employed in implementation science, including qualitative studies, randomized-control trials, non-randomized quantitative studies, and mixed methods studies. Two key features are a section for assessing bias of the implementation outcomes and sections for describing the implementation strategy and intervention implemented. An accompanying explanation and elaboration document that identifies and describes each of the items, explains the rationale, and provides examples of reporting and appraising practice, as well as templates to allow synthesis of extracted data across studies and an instructional video, has been prepared. Conclusions The comprehensive, adaptable tool to support both reporting and critical appraisal of implementation science studies including quantitative, qualitative, and mixed methods assessment of intervention and implementation outcomes has been developed. This tool can be applied to a methodologically diverse and growing body of implementation science literature to support reviews or meta-analyses that inform evidence-based decision-making regarding processes and strategies for implementation.
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Affiliation(s)
- Nessa Ryan
- Global Health Program, New York University School of Global Public Health, Public Health, 708 Broadway, 4th floor - Room 453, New York, NY, 10003, USA.
| | - Dorice Vieira
- NYU Health Sciences Library, Grossman School of Medicine, New York University, New York, NY, USA
| | - Joyce Gyamfi
- Global Health Program, New York University School of Global Public Health, Public Health, 708 Broadway, 4th floor - Room 453, New York, NY, 10003, USA
| | - Temitope Ojo
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA
| | - Donna Shelley
- Department of Public Health Policy and Management, New York University School of Global Public Health, New York, NY, USA
| | - Olugbenga Ogedegbe
- Department of Population Health, NYU School of Medicine, NYU Langone Health, New York, NY, USA
| | - Juliet Iwelunmor
- Behavioral Science and Health Education, College for Public Health and Social Justice, Salus Center, Saint Louis University, Saint Louis, MO, USA
| | - Emmanuel Peprah
- Global Health Program, New York University School of Global Public Health, Public Health, 708 Broadway, 4th floor - Room 453, New York, NY, 10003, USA.,Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA
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Sarkies MN, Robins LM, Jepson M, Williams CM, Taylor NF, O’Brien L, Martin J, Bardoel A, Morris ME, Carey LM, Holland AE, Long KM, Haines TP. Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial. PLoS Med 2021; 18:e1003833. [PMID: 34679090 PMCID: PMC8570499 DOI: 10.1371/journal.pmed.1003833] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 11/05/2021] [Accepted: 10/04/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by influencing resource allocation decisions. The aim of this study was to determine the effectiveness of these two research implementation strategies to facilitate evidence-informed healthcare management decisions for the provision of inpatient weekend allied health services. METHODS AND FINDINGS This multicentre, single-blinded (data collection and analysis), three-group parallel cluster randomised controlled trial with concealed allocation was conducted in Australian and New Zealand hospitals between February 2018 and January 2020. Clustering and randomisation took place at the organisation level where weekend allied health staffing decisions were made (e.g., network of hospitals or single hospital). Hospital wards were nested within these decision-making structures. Three conditions were compared over a 12-month period: (1) usual practice waitlist control; (2) dissemination of written evidence-based practice recommendations; and (3) access to a webinar-based knowledge broker in addition to the recommendations. The primary outcome was the alignment of weekend allied health provision with practice recommendations at the cluster and ward levels, addressing the adoption, penetration, and fidelity to the recommendations. The secondary outcome was mean hospital length of stay at the ward level. Outcomes were collected at baseline and 12 months later. A total of 45 clusters (n = 833 wards) were randomised to either control (n = 15), recommendation (n = 16), or knowledge broker (n = 14) conditions. Four (9%) did not provide follow-up data, and no adverse events were recorded. No significant effect was found with either implementation strategy for the primary outcome at the cluster level (recommendation versus control β 18.11 [95% CI -8,721.81 to 8,758.02] p = 0.997; knowledge broker versus control β 1.24 [95% CI -6,992.60 to 6,995.07] p = 1.000; recommendation versus knowledge broker β -9.12 [95% CI -3,878.39 to 3,860.16] p = 0.996) or ward level (recommendation versus control β 0.01 [95% CI 0.74 to 0.75] p = 0.983; knowledge broker versus control β -0.12 [95% CI -0.54 to 0.30] p = 0.581; recommendation versus knowledge broker β -0.19 [-1.04 to 0.65] p = 0.651). There was no significant effect between strategies for the secondary outcome at ward level (recommendation versus control β 2.19 [95% CI -1.36 to 5.74] p = 0.219; knowledge broker versus control β -0.55 [95% CI -1.16 to 0.06] p = 0.075; recommendation versus knowledge broker β -3.75 [95% CI -8.33 to 0.82] p = 0.102). None of the control or knowledge broker clusters transitioned to partial or full alignment with the recommendations. Three (20%) of the clusters who only received the written recommendations transitioned from nonalignment to partial alignment. Limitations include underpowering at the cluster level sample due to the grouping of multiple geographically distinct hospitals to avoid contamination. CONCLUSIONS Owing to a lack of power at the cluster level, this trial was unable to identify a difference between the knowledge broker strategy and dissemination of recommendations compared with usual practice for the promotion of evidence-informed resource allocation to inpatient weekend allied health services. Future research is needed to determine the interactions between different implementation strategies and healthcare contexts when translating evidence into healthcare practice. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12618000029291.
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Affiliation(s)
- Mitchell N. Sarkies
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, New South Wales, Australia
- Health Economics and Data Analytics Discipline, School of Public Health, Faculty of Health Sciences, Curtin University, Western Australia, Australia
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Lauren M. Robins
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Megan Jepson
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Cylie M. Williams
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Nicholas F. Taylor
- La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Victoria, Australia
- Allied Health Clinical Research Office, Eastern Health, Victoria, Australia
| | - Lisa O’Brien
- Department Occupational Therapy, School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Jenny Martin
- Department of Social Work and Human Services, School of Arts, Federation University Australia, Victoria, Australia
| | - Anne Bardoel
- Department of Management and Marketing, Swinburne University of Technology, Victoria, Australia
| | - Meg E. Morris
- La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Victoria, Australia
- Healthscope Academic and Research Collaborative in Health, Victorian Rehabilitation Centre, Glen Waverly, Victoria, Australia
| | - Leeanne M. Carey
- Occupational Therapy, School of Allied Health, Human Services and Sport, La Trobe University, Victoria, Australia
- Neurorehabilitation and Recovery, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Victoria, Australia
| | - Anne E. Holland
- Department of Allergy, Immunology and Respiratory Medicine, Monash University, Victoria, Australia
- Department of Physiotherapy, Alfred Health, Victoria, Australia
| | - Katrina M. Long
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Terry P. Haines
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
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Jepson M, Sarkies M, Haines T. Variation in inpatient allied health service provision in Australian and New Zealand hospitals. Australas J Ageing 2021; 41:70-80. [PMID: 34346159 DOI: 10.1111/ajag.12988] [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: 11/10/2020] [Revised: 06/24/2021] [Accepted: 07/05/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To describe the variability of allied health services on weekends, relative to weekdays, throughout Australian and New Zealand hospitals. METHODS A prospective, cross-sectional observational study embedded within a cluster randomised control trial. Allied health managers provided administrative data relating to allied health service events. RESULTS In one month, there were a total of 243 549 allied health service events recorded from 91 sampled hospitals. The mean difference between weekday and weekend allied health service events (daily, per ward) for physiotherapy was 6.52 (95% CI 5.65 to 7.40), acute wards 12.03 (95% CI 10.25 to 13.82) and for metropolitan hospitals 14.47 (95% CI 12.22 to 16.73), revealing more allied health service events of longer duration on weekdays compared to weekends. CONCLUSIONS This research is the first of its kind to describe variation in allied health service provision and potential research to practice gaps across weekday and weekend days in various inpatient settings.
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Affiliation(s)
- Megan Jepson
- Department of Paramedicine, Monash University Peninsula Campus, Melbourne, Vic., Australia.,School of Primary and Allied Health Care, Monash University Peninsula Campus, Melbourne, Vic., Australia
| | - Mitchell Sarkies
- School of Primary and Allied Health Care, Monash University Peninsula Campus, Melbourne, Vic., Australia.,Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Melbourne, NSW, Australia
| | - Terry Haines
- School of Primary and Allied Health Care, Monash University Peninsula Campus, Melbourne, Vic., Australia
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Sarkies MN, Robinson S, Briffa T, Duffy SJ, Nelson M, Beltrame J, Cullen L, Chew D, Smith J, Brieger D, Macdonald P, Liew D, Reid C. Applying a framework to assess the impact of cardiovascular outcomes improvement research. Health Res Policy Syst 2021; 19:67. [PMID: 33882947 PMCID: PMC8059028 DOI: 10.1186/s12961-021-00710-4] [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] [Received: 05/10/2020] [Accepted: 03/21/2021] [Indexed: 01/06/2023] Open
Abstract
Background Health and medical research funding agencies are increasingly interested in measuring the impact of funded research. We present a research impact case study for the first four years of an Australian National Health and Medical Research Council funded Centre of Research Excellence in Cardiovascular Outcomes Improvement (2016–2020). The primary aim of this paper was to explore the application of a research impact matrix to assess the impact of cardiovascular outcomes improvement research. Methods We applied a research impact matrix developed from a systematic review of existing methodological frameworks used to measure research impact. This impact matrix was used as a bespoke tool to identify and understand various research impacts over different time frames. Data sources included a review of existing internal documentation from the research centre and publicly available information sources, informal iterative discussions with 10 centre investigators, and confirmation of information from centre grant and scholarship recipients. Results By July 2019, the impact on the short-term research domain category included over 41 direct publications, which were cited over 87 times (median journal impact factor of 2.84). There were over 61 conference presentations, seven PhD candidacies, five new academic collaborations, and six new database linkages conducted. The impact on the mid-term research domain category involved contributions towards the development of a national cardiac registry, cardiovascular guidelines, application for a Medicare Benefits Schedule reimbursement item number, introduction of patient-reported outcome measures into several databases, and the establishment of nine new industry collaborations. Evidence of long-term impacts were described as the development and use of contemporary management for aortic stenosis, a cardiovascular risk prediction model and prevention targets in several data registries, and the establishment of cost-effectiveness for stenting compared to surgery. Conclusions We considered the research impact matrix a feasible tool to identify evidence of academic and policy impact in the short- to midterm; however, we experienced challenges in capturing long-term impacts. Cost containment and broader economic impacts represented another difficult area of impact to measure. Supplementary Information The online version contains supplementary material available at 10.1186/s12961-021-00710-4.
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Affiliation(s)
- Mitchell N Sarkies
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, 75 Talavera Road, Sydney, NSW, 2109, Australia. .,Health Systems and Health Economics Group, Health Research and Data Analytics Hub, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Australia.
| | - Suzanne Robinson
- Health Systems and Health Economics Group, Health Research and Data Analytics Hub, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Tom Briffa
- Faculty of Health and Medical Sciences, Population and Public Health, The University of Western Australia, Perth, Australia
| | - Stephen J Duffy
- Department of General Cardiology, Alfred Health, Melbourne, Australia.,Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Australia
| | - Mark Nelson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - John Beltrame
- Discipline of Medicine, University of Adelaide, Adelaide, Australia.,Cardiology Department, Central Adelaide Local Health Network, Adelaide, Australia.,Cardiology Department, Lyell McEwin Hospital, Adelaide, Australia
| | - Louise Cullen
- Institute of Health and Biomedical Innovation and School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, Australia.,Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia.,School of Medicine, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia
| | - Derek Chew
- Department of Cardiovascular Medicine, Flinders University, Adelaide, Adelaide, Australia
| | - Julian Smith
- Department of Surgery (School of Clinical Sciences At Monash Health), Monash University, Melbourne, Australia.,Department of Cardiothoracic Surgery, Monash Health, Melbourne, Australia
| | - David Brieger
- Division of Cardiology, Concord Hospital and University of Sydney, Sydney, Australia
| | - Peter Macdonald
- St Vincent's Hospital, Victor Chang Cardiac Research Institute, University of New South Wales, Sydney, Australia
| | - Danny Liew
- Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Australia
| | - Chris Reid
- Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Australia.,NHMRC Centre for Research Excellence in Cardiovascular Outcomes Improvement, Health Research and Data Analytics Hub, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Australia
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Sarkies MN, Francis-Auton E, Long JC, Partington A, Pomare C, Nguyen HM, Wu W, Westbrook J, Day RO, Levesque JF, Mitchell R, Rapport F, Cutler H, Tran Y, Clay-Williams R, Watson DE, Arnolda G, Hibbert PD, Lystad R, Mumford V, Leipnik G, Sutherland K, Hardwick R, Braithwaite J. Implementing large-system, value-based healthcare initiatives: a realist study protocol for seven natural experiments. BMJ Open 2020; 10:e044049. [PMID: 33371049 PMCID: PMC7757496 DOI: 10.1136/bmjopen-2020-044049] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/27/2020] [Accepted: 11/19/2020] [Indexed: 12/04/2022] Open
Abstract
INTRODUCTION Value-based healthcare delivery models have emerged to address the unprecedented pressure on long-term health system performance and sustainability and to respond to the changing needs and expectations of patients. Implementing and scaling the benefits from these care delivery models to achieve large-system transformation are challenging and require consideration of complexity and context. Realist studies enable researchers to explore factors beyond 'what works' towards more nuanced understanding of 'what tends to work for whom under which circumstances'. This research proposes a realist study of the implementation approach for seven large-system, value-based healthcare initiatives in New South Wales, Australia, to elucidate how different implementation strategies and processes stimulate the uptake, adoption, fidelity and adherence of initiatives to achieve sustainable impacts across a variety of contexts. METHODS AND ANALYSIS This exploratory, sequential, mixed methods realist study followed RAMESES II (Realist And Meta-narrative Evidence Syntheses: Evolving Standards) reporting standards for realist studies. Stage 1 will formulate initial programme theories from review of existing literature, analysis of programme documents and qualitative interviews with programme designers, implementation support staff and evaluators. Stage 2 envisages testing and refining these hypothesised programme theories through qualitative interviews with local hospital network staff running initiatives, and analyses of quantitative data from the programme evaluation, hospital administrative systems and an implementation outcome survey. Stage 3 proposes to produce generalisable middle-range theories by synthesising data from context-mechanism-outcome configurations across initiatives. Qualitative data will be analysed retroductively and quantitative data will be analysed to identify relationships between the implementation strategies and processes, and implementation and programme outcomes. Mixed methods triangulation will be performed. ETHICS AND DISSEMINATION Ethical approval has been granted by Macquarie University (Project ID 23816) and Hunter New England (Project ID 2020/ETH02186) Human Research Ethics Committees. The findings will be published in peer-reviewed journals. Results will be fed back to partner organisations and roundtable discussions with other health jurisdictions will be held, to share learnings.
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Affiliation(s)
- Mitchell N Sarkies
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Emilie Francis-Auton
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Janet C Long
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Andrew Partington
- Centre for the Health Economy, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Chiara Pomare
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Hoa Mi Nguyen
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Wendy Wu
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Johanna Westbrook
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Richard O Day
- Clinical Pharmacology, St Vincents Hospital Sydney, Darlinghurst, New South Wales, Australia
- Pharmacology, University of New South Wales, Kensington, New South Wales, Australia
| | - Jean-Frederic Levesque
- Bureau of Health Information, St Leonards, New South Wales, Australia
- Centre for Primary Health Care and Equity, University of New South Wales, Kensington, New South Wales, Australia
| | - Rebecca Mitchell
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Frances Rapport
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Henry Cutler
- Centre for the Health Economy, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Yvonne Tran
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Robyn Clay-Williams
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Diane E Watson
- Bureau of Health Information, St Leonards, New South Wales, Australia
| | - Gaston Arnolda
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Peter D Hibbert
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
- University of South Australia Division of Health Sciences, Adelaide, South Australia, Australia
| | - Reidar Lystad
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - Virginia Mumford
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
| | - George Leipnik
- New South Wales Ministry of Health, St Leonards, New South Wales, Australia
| | - Kim Sutherland
- New South Wales Agency for Clinical Innovation, St Leonards, New South Wales, Australia
| | | | - Jeffrey Braithwaite
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, New South Wales, Australia
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Meta-analysis of randomised controlled trials testing behavioural interventions to promote household action on climate change. Nat Commun 2019; 10:4545. [PMID: 31586060 PMCID: PMC6778105 DOI: 10.1038/s41467-019-12457-2] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Accepted: 08/29/2019] [Indexed: 11/12/2022] Open
Abstract
No consensus exists regarding which are the most effective mechanisms to promote household action on climate change. We present a meta-analysis of randomised controlled trials comprising 3,092,678 observations, which estimates the effects of behavioural interventions holding other factors constant. Here we show that behavioural interventions promote climate change mitigation to a very small degree while the intervention lasts (d = −0.093 95% CI −0.160, −0.055), with no evidence of sustained positive effects once the intervention ends. With the exception of recycling, most household mitigation behaviours show a low behavioural plasticity. The intervention with the highest average effect size is choice architecture (nudges) but this strategy has been tested in a limited number of behaviours. Our results do not imply behavioural interventions are less effective than alternative strategies such as financial incentives or regulations, nor exclude the possibility that behavioural interventions could have stronger effects when used in combination with alternative strategies. It is not clear which are the most effective mechanisms to achieve sustainable lifestyle behaviour. Here the authors study the impact of behavioural interventions excluding economic incentives by performing a large-scale meta-analysis and find that these interventions promote sustainable behaviours to a small degree in the short-term with no evidence of sustained positive effects once the intervention is completed.
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