Background: Social innovation (SI) in health holds potential to contribute to health systems strengthening and universal health coverage (UHC). The role of universities in SI has been well described in the context of high-income countries. An evidence gap exits on SI in healthcare delivery in the context of low- and middle-income countries (LMICs) as well as on the engagement of universities from these contexts. There is thus a need to build capacity for research and engagement in SI in healthcare delivery within these universities. The aim of this study was to examine the adoption and implementation of network of university hubs focused on SI in healthcare delivery within five countries across Africa, Asia and Latin America. The objectives were to describe the model, components and implementation process of the hubs; identify the enablers and barriers experienced and draw implications that could be relevant to other LMIC universities interested in SI.
Methods: A case study design was adopted to study the implementation process of a network of university hubs. Data from documentation, team discussions and post-implementation surveys were collected from 2013 to 2018 and analysed with aid of a modified policy analysis framework.
Results/discussion: SI university-based hubs serve as cross-disciplinary and cross-sectoral platforms, established to catalyse SI within the local health system through four core activities: research, community-building, storytelling and institutional embedding, and adhering to values of inclusion, assets, co-creation and hope. Hubs were implemented as informal structures, managed by a small core team, in existing department. Enablers of hub implementation and functioning were the availability of strong in-country social networks, legitimacy attained from being part of a global network on SI in health and receiving a capacity building package in the initial stages. Barriers encountered were internal institutional resistance, administrative challenges associated with university bureaucracy and annual funding cycles.
Conclusions: This case study shows the opportunity that reside within LMIC universities to act as eco-system enablers of SI in healthcare delivery in order to fill the evidence gap on SI and enhance cross-sectoral participation in support of achieving UHC.
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http://dx.doi.org/10.1186/s40249-020-00684-5 | DOI Listing |
BMC Psychiatry
January 2025
Department of Behavioural Science and Health, University College London, London, 1-19 Torrington Place, WC1E 7HB, UK.
Background: Smoking rates in the UK have declined steadily over the past decades, masking considerable inequalities, as little change has been observed among people with a mental health condition. This trial sought to assess the feasibility and acceptability of supplying an electronic cigarette (e-cigarette) starter kit for smoking cessation as an adjunct to usual care for smoking cessation, to smokers with a mental health condition treated in the community, to inform a future effectiveness trial.
Methods: This randomised controlled feasibility trial, conducted March-December 2022, compared the intervention (e-cigarette starter kit with a corresponding information leaflet and demonstration with Very Brief Advice) with a 'usual care' control at 1-month follow-up.
J Gen Intern Med
January 2025
Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA.
Background: In the United States (U.S.), the prevalence of anxiety and depression is increasing, yet significant barriers to mental health treatment remain.
View Article and Find Full Text PDFJ Hand Ther
January 2025
Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom.
Background: The Strengthening and Stretching for Rheumatoid Arthritis of the Hand (SARAH) program is an evidence-based exercise program for adults with hand function difficulties due to rheumatoid arthritis. A self-guided online version of the program has been developed for direct access by patients.
Purpose: To evaluate the delivery of the online program in routine therapy care and its impact on clinical outcomes, before making it widely available.
Disabil Health J
December 2024
Department of Labor Studies and Employment Relations, School of Management and Labor Relations, Rutgers University, 94 Rockafeller Rd., Piscataway, NJ USA 08854, United States.
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Objective: The purpose of the study was to evaluate the prevalence of food and housing insecurity among DSPs.
BMJ Qual Saf
January 2025
National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, USA.
Generative artificial intelligence (AI) technologies have the potential to revolutionise healthcare delivery but require classification and monitoring of patient safety risks. To address this need, we developed and evaluated a preliminary classification system for categorising generative AI patient safety errors. Our classification system is organised around two AI system stages (input and output) with specific error types by stage.
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