Aims: This commentary aims to describe a case of how meaningful co-design between rural health service leaders and a health service-embedded research unit can identify emerging research priorities and optimise translation.
Context: The challenges facing rural health services are unique, and the important role of health service leaders in the research response is increasingly recognised. Poorly-designed research can contribute to research waste through reduced applicability of results to rural communities, and an opportunity exists to increase research co-designed with rural health services through the involvement of research users during study planning.
Approach: In early 2020, leaders at a rural Victorian health service approached the embedded health service research unit to request research be conducted on an emerging issue: rural staff well-being in the face of the COVID-19 pandemic. This was based on their concern regarding the lack of available COVID-19-specific evidence to inform organisational policy. In collaboration with the rural health service executive, a translation-focused study of staff well-being with nine rural Victorian health services was developed. Key co-design activities of the project included involving research end-users as study investigators and conducting formal stakeholder engagement regarding study design and outcomes.
Conclusion: Meaningful co-design of research with health services is a multifaceted process that can assist researchers and end-users alike in identifying and responding to emerging health issues. In the rural setting where there is a vital need for impactful health research, we recommend that researchers should consider employing co-design processes in order to minimise research waste and optimise the translatability of research findings.
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http://dx.doi.org/10.1111/ajr.12915 | DOI Listing |
Ann Intern Med
January 2025
959 Medical Operations Squadron, U.S. Air Force, Department of Neurology, Brooke Army Medical Center, San Antonio, Texas (T.K.).
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Division of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
JMIR Form Res
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Division of Psychology, School of Health, Care and Social Welfare, Mälardalen University, Västerås/Eskilstuna, Sweden.
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Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Current literature is unclear on the safety and optimal timing of delivery for pregnant individuals with gestational diabetes mellitus, which inspired our study team to conduct a web-based survey study exploring patient and provider opinions on delivery options. However, an incident of fraudulent activity with survey responses prompted a shift in the focus of the research project. Unfortunately, despite the significant rise of web-based surveys used in medical research, there remains very limited evidence on the implications of and optimal methods to handle fraudulent web-based survey responses.
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School of Computer Science, University of Technology Sydney, Sydney, Australia.
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. This paper explores the utility and implications of generalist conversational artificial intelligence (CAI) advanced AI systems trained on extensive datasets to handle a wide range of conversational tasks across various domains with human-like responsiveness. The specific focus is on the application of generalist CAI within messaging services, emphasizing its potential to enhance public health communication.
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