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Benedetto V, Ferrè F, Nuti S. Including environmental and social sustainability in the planning process of healthcare services: A case study of cancer screening programs in an inner area in Italy. Health Policy 2024; 144:105074. [PMID: 38652936 DOI: 10.1016/j.healthpol.2024.105074] [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: 09/04/2023] [Revised: 02/20/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024]
Abstract
Healthcare systems plan their activities to achieve efficiency and effectiveness, without addressing environmental and social sustainability. This paper describes a new approach adopted in Italy to plan and deliver health prevention services in an inner area of the Tuscany region (in Italy) to guarantee proximity of care and environmental and social sustainability. The project examines the design and delivery of cancer screening programmes using a mobile screening unit to maximise social benefits while minimising environmental waste. A cost analysis was developed to estimate the difference in CO2 equivalent emissions, travel costs, and productivity losses, comparing the current screening programmes against the introduction of a comprehensive full-service mobile screening unit. The results indicate that the new service model reduces direct non-medical costs incurred by the population and improves environmental sustainability. This alternative can reduce, annually, over 95,000 euros in terms of travel costs and productivity losses, as well as 35 tons of CO2-equivalent travel emissions for a population of 59,000 inhabitants in a mountainous area with around 6000 people involved in the screening programme. The study supports the need to adopt a new planning methodology that considers environmental, social, and financial sustainability jointly in the provision of public health services in rural areas.
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Affiliation(s)
- Vera Benedetto
- Interdisciplinary Research Center for Health Science, Scuola Superiore Sant'Anna, Via Martiri della Libertà, 33, Pisa, PI 56127, Italy.
| | - Francesca Ferrè
- Management and Health Laboratory, Institute of Management-Department Embeds, Scuola Superiore Sant'Anna, Via Martiri della Libertà, 33, Pisa, PI 56127, Italy
| | - Sabina Nuti
- Interdisciplinary Research Center for Health Science, Scuola Superiore Sant'Anna, Via Martiri della Libertà, 33, Pisa, PI 56127, Italy
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Chandrashekhar A, Thakur HP. Efficacy of Government-Sponsored Community Health Programs for Older Adults: A Systematic Review of Published Evaluation Studies. Public Health Rev 2022; 43:1604473. [PMID: 36211228 PMCID: PMC9537370 DOI: 10.3389/phrs.2022.1604473] [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: 09/18/2021] [Accepted: 09/02/2022] [Indexed: 11/22/2022] Open
Abstract
Objective: Population aging is an ongoing challenge for global health policy and is expected to have an increasing impact on developing economies in years to come. A variety of community health programs have been developed to deliver health services to older adults, and evaluating these programs is crucial to improving service delivery and avoiding barriers to implementation. This systematic review examines published evaluation research relating to public and community health programs aimed at older adults throughout the world. Methods: A literature search using standardized criteria yielded 58 published articles evaluating 46 specific programs in 14 countries. Results: Service models involving sponsorship of comprehensive facilities providing centralized access to multiple types of health services were generally evaluated the most positively, with care coordination programs appearing to have generally more modest success, and educational programs having limited effectiveness. Lack of sufficient funding was a commonly-cited barrier to successful program implementations. Conclusion: It is important to include program evaluation as a component of future community and public health interventions aimed at aging populations to better understand how to improve these programs.
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Kwon J, Squires H, Franklin M, Young T. Systematic review and critical methodological appraisal of community-based falls prevention economic models. COST EFFECTIVENESS AND RESOURCE ALLOCATION 2022; 20:33. [PMID: 35842721 PMCID: PMC9287934 DOI: 10.1186/s12962-022-00367-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 07/04/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Falls impose significant health and economic burdens on community-dwelling older persons. Decision modelling can inform commissioning of alternative falls prevention strategies. Several methodological challenges arise when modelling public health interventions including community-based falls prevention. This study aims to conduct a systematic review (SR) to: systematically identify community-based falls prevention economic models; synthesise and critically appraise how the models handled key methodological challenges associated with public health modelling; and suggest areas for further methodological research. METHODS The SR followed the 2021 PRISMA reporting guideline and covered the period 2003-2020 and 12 academic databases and grey literature. The extracted methodological features of included models were synthesised by their relevance to the following challenges: (1) capturing non-health outcomes and societal intervention costs; (2) considering heterogeneity and dynamic complexity; (3) considering theories of human behaviour and implementation; and (4) considering equity issues. The critical appraisal assessed the prevalence of each feature across models, then appraised the methods used to incorporate the feature. The methodological strengths and limitations stated by the modellers were used as indicators of desirable modelling practice and scope for improvement, respectively. The methods were also compared against those suggested in the broader empirical and methodological literature. Areas of further methodological research were suggested based on appraisal results. RESULTS 46 models were identified. Comprehensive incorporation of non-health outcomes and societal intervention costs was infrequent. The assessments of heterogeneity and dynamic complexity were limited; subgroup delineation was confined primarily to demographics and binary disease/physical status. Few models incorporated heterogeneity in intervention implementation level, efficacy and cost. Few dynamic variables other than age and falls history were incorporated to characterise the trajectories of falls risk and general health/frailty. Intervention sustainability was frequently based on assumptions; few models estimated the economic/health returns from improved implementation. Seven models incorporated ethnicity- and severity-based subgroups but did not estimate the equity-efficiency trade-offs. Sixteen methodological research suggestions were made. CONCLUSION Existing community-based falls prevention models contain methodological limitations spanning four challenge areas relevant for public health modelling. There is scope for further methodological research to inform the development of falls prevention and other public health models.
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Affiliation(s)
- Joseph Kwon
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA England UK
| | - Hazel Squires
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA England UK
| | - Matthew Franklin
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA England UK
| | - Tracey Young
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA England UK
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The State of the Evidence about the Family and Community Nurse: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19074382. [PMID: 35410065 PMCID: PMC8998909 DOI: 10.3390/ijerph19074382] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 03/27/2022] [Accepted: 04/02/2022] [Indexed: 02/05/2023]
Abstract
Introduction. The increase in chronic degenerative diseases poses many challenges to the efficacy and sustainability of healthcare systems, establishing the family and community nurse (FCN) who delivers primary care as a strategic role. FCNs, indeed, can embrace the complexity of the current healthcare demand, sustain the ageing of the population, and focus on illness prevention and health promotion, ensuring a continuous and coordinated integration between hospitals and primary care ser. The literature on FCNs is rich but diverse. This study aimed to critically summarise the literature about the FCN, providing an overall view of the recent evidence. Methods. A state-of-art systematic review was performed on PubMed, CINAHL, and Scopus, employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and checklist to guide the search and reporting. Results. Five interpretative themes emerged from the 90 included articles: clinical practice, core competencies, outcomes, Organisational and educational models, and advanced training program. Conclusions. FCNs can make a major contribution to a population’s health, playing a key role in understanding and responding to patients’ needs. Even if the investment in prevention does not guarantee immediate required strategies and foresight on the part of decisionmakers, it is imperative to invest more political, institutional, and economic resources to support and ensure the FCNs’ competencies and their professional autonomy.
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Kwon J, Squires H, Franklin M, Lee Y, Young T. Economic models of community-based falls prevention: a systematic review with subsequent commissioning and methodological recommendations. BMC Health Serv Res 2022; 22:316. [PMID: 35255898 PMCID: PMC8902781 DOI: 10.1186/s12913-022-07647-6] [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: 11/18/2021] [Accepted: 02/14/2022] [Indexed: 11/21/2022] Open
Abstract
Background Falls impose significant health and economic burdens among older populations, making their prevention a priority. Health economic models can inform whether the falls prevention intervention represents a cost-effective use of resources and/or meet additional objectives such as reducing social inequities of health. This study aims to conduct a systematic review (SR) of community-based falls prevention economic models to: (i) systematically identify such models; (ii) synthesise and critically appraise modelling methods/results; and (iii) formulate methodological and commissioning recommendations. Methods The SR followed PRISMA 2021 guideline, covering the period 2003–2020, 12 academic databases and grey literature. A study was included if it: targeted community-dwelling persons aged 60 and over and/or aged 50–59 at high falls risk; evaluated intervention(s) designed to reduce falls or fall-related injuries; against any comparator(s); reported outcomes of economic evaluation; used decision modelling; and had English full text. Extracted data fields were grouped by: (A) model and evaluation overview; (B) falls epidemiology features; (C) falls prevention intervention features; and (D) evaluation methods and outcomes. A checklist for falls prevention economic evaluations was used to assess reporting/methodological quality. Extracted fields were narratively synthesised and critically appraised to inform methodological and commissioning recommendations. The SR protocol is registered in the Prospective Register of Systematic Reviews (CRD42021232147). Results Forty-six models were identified. The most prevalent issue according to the checklist was non-incorporation of all-cause care costs. Based on general population, lifetime models conducting cost-utility analyses, seven interventions produced favourable ICERs relative to no intervention under the cost-effectiveness threshold of US$41,900 (£30,000) per QALY gained; of these, results for (1) combined multifactorial and environmental intervention, (2) physical activity promotion for women, and (3) targeted vitamin D supplementation were from validated models. Decision-makers should explore the transferability and reaches of interventions in their local settings. There was some evidence that exercise and home modification exacerbate existing social inequities of health. Sixteen methodological recommendations were formulated. Conclusion There is significant methodological heterogeneity across falls prevention models. This SR’s appraisals of modelling methods should facilitate the conceptualisation of future falls prevention models. Its synthesis of evaluation outcomes, though limited to published evidence, could inform commissioning. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-022-07647-6.
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Affiliation(s)
- Joseph Kwon
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA, England.
| | - Hazel Squires
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA, England
| | - Matthew Franklin
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA, England
| | - Yujin Lee
- Warwick Medical School, University of Warwick, Gibbet Hill Road, Coventry, CV4 7AL, England
| | - Tracey Young
- School of Health and Related Research, University of Sheffield, Regent Court (ScHARR), 30 Regent Street, Sheffield, S1 4DA, England
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Ippoliti R, Allievi I, Rocchetti A. UF-5000 flow cytometer: A new technology to support microbiologists' interpretation of suspected urinary tract infections. Microbiologyopen 2020; 9:e987. [PMID: 31908145 PMCID: PMC7066453 DOI: 10.1002/mbo3.987] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/04/2019] [Accepted: 12/10/2019] [Indexed: 11/10/2022] Open
Abstract
This case study aims to describe the adoption of an innovative flow cytometer (i.e., UF-5000), which can support the microbiologists' process of diagnosing suspected urinary tract infections (UTIs). The new clinical information provided can be used to improve the identification of both contamination and colonization, thus reducing inappropriate antibiotic prescriptions. In July and August 2017, the Microbiology Laboratory of Alessandria (Italy) conducted a retrospective monocentric study analyzing data about 1,295 urine specimens from inpatients and outpatients with symptoms of UTIs. The results of this study show that the innovative technology can successfully support the diagnostic process in microbiology laboratories and, consequently, the supply of sustainable treatments by hospitals.
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Affiliation(s)
- Roberto Ippoliti
- Faculty of Business Administration and Economics, University of Bielefeld, Germany
| | - Isabella Allievi
- Microbiologia, Azienda Ospedaliera SS. Antonio e Biagio e C. Arrigo, Alessandria, Italy
| | - Andrea Rocchetti
- Microbiologia, Azienda Ospedaliera SS. Antonio e Biagio e C. Arrigo, Alessandria, Italy
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Falavigna G, Costantino G, Furlan R, Quinn JV, Ungar A, Ippoliti R. Artificial neural networks and risk stratification in emergency departments. Intern Emerg Med 2019; 14:291-299. [PMID: 30353271 DOI: 10.1007/s11739-018-1971-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 10/16/2018] [Indexed: 11/28/2022]
Abstract
Emergency departments are characterized by the need for quick diagnosis under pressure. To select the most appropriate treatment, a series of rules to support decision-making has been offered by scientific societies. The effectiveness of these rules affects the appropriateness of treatment and the hospitalization of patients. Analyzing a sample of 1844 patients and focusing on the decision to hospitalize a patient after a syncope event to prevent severe short-term outcomes, this work proposes a new algorithm based on neural networks. Artificial neural networks are a non-parametric technique with the well-known ability to generalize behaviors, and they can thus predict severe short-term outcomes with pre-selected levels of sensitivity and specificity. This innovative technique can outperform the traditional models, since it does not require a specific functional form, i.e., the data are not supposed to be distributed following a specific design. Based on our results, the innovative model can predict hospitalization with a sensitivity of 100% and a specificity of 79%, significantly increasing the appropriateness of medical treatment and, as a result, hospital efficiency. According to Garson's Indexes, the most significant variables are exertion, the absence of symptoms, and the patient's gender. On the contrary, cardio-vascular history, hypertension, and age have the lowest impact on the determination of the subject's health status. The main application of this new technology is the adoption of smart solutions (e.g., a mobile app) to customize the stratification of patients admitted to emergency departments (ED)s after a syncope event. Indeed, the adoption of these smart solutions gives the opportunity to customize risk stratification according to the specific clinical case (i.e., the patient's health status) and the physician's decision-making process (i.e., the desired levels of sensitivity and specificity). Moreover, a decision-making process based on these smart solutions might ensure a more effective use of available resources, improving the management of syncope patients and reducing the cost of inappropriate treatment and hospitalization.
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Affiliation(s)
- Greta Falavigna
- CNR-IRCrES, Research Institute on Sustainable Economic Growth, Moncalieri, Italy.
| | - Giorgio Costantino
- Clinical Medicine Department, Fondazione IRCCS, Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Raffaello Furlan
- Department of Biomedical Sciences, Humanitas University, Humanitas Research Hospital, Rozzano, Italy
| | - James V Quinn
- Division of Emergency Medicine, Stanford University, Stanford, CA, USA
| | - Andrea Ungar
- Syncope Unit, Geriatric Medicine and Cardiology, Careggi University Hospital, Florence, Italy
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Ippoliti R, Falavigna G, Montani F, Rizzi S. The private healthcare market and the sustainability of an innovative community nurses programme based on social entrepreneurship - CoNSENSo project. BMC Health Serv Res 2018; 18:689. [PMID: 30185186 PMCID: PMC6125879 DOI: 10.1186/s12913-018-3513-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Accepted: 08/29/2018] [Indexed: 11/28/2022] Open
Abstract
Background CoNSENSo is a project funded by the European Union, which is aimed at developing an innovative care model based on community nurses to support active ageing in mountain areas. The planned sustainability of this innovative approach relies on social entrepreneurship on the healthcare market, and this work highlights the necessary conditions for the successful implementation of these entrepreneurial initiatives. Methods Considering municipalities in the Piedmont Region and those aged 65 or older as target population, the authors propose several negative binomial regression models to estimate the effectiveness of current private healthcare services in supporting the active aging process. Such effectiveness may represent the ex-ante (positive) reputation of these new social entrepreneurial initiatives on the market. Results According to our results, the private supply of healthcare services can effectively support the aging process. Indeed, given that the other predictor variables in the model are held constant, there are statistically significant negative relations between the number of hip fractures and the private supply of healthcare services by dental practitioners and psychologists (p-value < 0.05), as well as the private supply of opportunities for social interaction by coffee bars (p-value < 0.05). Conclusions The authors expect a favourable environment for the entrepreneurial initiatives of community nurses in mountain areas. Accordingly, policy makers cannot reject the hypothesis that the goals reached by the CoNSENSo project may be maintained for the sake of the future generations, avoiding its collapse as soon as public funding shifts to new programmes.
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Affiliation(s)
| | - Greta Falavigna
- Istituto di ricerca sulla crescita economica sostenibile (IRCrES) - Consiglio Nazionale delle Ricerche (CNR), Moncalieri, Italy
| | | | - Silvia Rizzi
- Direzione Sanità - Regione Piemonte, Torino, Italy
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