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Making Sense of Theories, Models, and Frameworks in Digital Health Behavior Change Design: Qualitative Descriptive Study.

التفاصيل البيبلوغرافية
العنوان: Making Sense of Theories, Models, and Frameworks in Digital Health Behavior Change Design: Qualitative Descriptive Study.
المؤلفون: Voorheis P; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.; Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada., Bhuiya AR; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.; McMaster Health Forum, McMaster University, Hamilton, ON, Canada., Kuluski K; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.; Institute for Better Health, Trillium Health Partners, Mississauga, ON, Canada., Pham Q; Centre for Digital Therapeutics, Techna Institute, University Health Network, Toronto, ON, Canada.; Telfer School of Management, University of Ottawa, Ottawa, ON, Canada., Petch J; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.; Centre for Data Science and Digital Health, Hamilton Health Sciences, Hamilton, ON, Canada.; Division of Cardiology, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.; Population Health Research Institute, Hamilton Health Sciences, Hamilton, ON, Canada.
المصدر: Journal of medical Internet research [J Med Internet Res] 2023 Mar 15; Vol. 25, pp. e45095. Date of Electronic Publication: 2023 Mar 15.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE
أسماء مطبوعة: Publication: <2011- > : Toronto : JMIR Publications
Original Publication: [Pittsburgh, PA? : s.n., 1999-
مواضيع طبية MeSH: Health Behavior* , Attitude*, Humans ; Qualitative Research ; Emotions
مستخلص: Background: Digital health interventions are increasingly being designed to support health behaviors. Although digital health interventions informed by behavioral science theories, models, and frameworks (TMFs) are more likely to be effective than those designed without them, design teams often struggle to use these evidence-informed tools. Until now, little work has been done to clarify the ways in which behavioral science TMFs can add value to digital health design.
Objective: The aim of this study was to better understand how digital health design leaders select and use TMFs in design practice. The questions that were addressed included how do design leaders perceive the value of TMFs in digital health design, what considerations do design leaders make when selecting and applying TMFs, and what do design leaders think is needed in the future to advance the utility of TMFs in digital health design?
Methods: This study used a qualitative description design to understand the experiences and perspectives of digital health design leaders. The participants were identified through purposive and snowball sampling. Semistructured interviews were conducted via Zoom software. Interviews were audio-recorded and transcribed using Otter.ai software. Furthermore, 3 researchers coded a sample of interview transcripts and confirmed the coding strategy. One researcher completed the qualitative analysis using a codebook thematic analysis approach.
Results: Design leaders had mixed opinions on the value of behavioral science TMFs in digital health design. Leaders suggested that TMFs added the most value when viewed as a starting point rather than the final destination for evidence-informed design. Specifically, these tools added value when they acted as a gateway drug to behavioral science, supported health behavior conceptualization, were balanced with expert knowledge and user-centered design principles, were complementary to existing design methods, and supported both individual- and systems-level thinking. Design leaders also felt that there was a considerable nuance in selecting the most value-adding TMFs. Considerations should be made regarding their source, appropriateness, complexity, accessibility, adaptability, evidence base, purpose, influence, audience, fit with team expertise, fit with team culture, and fit with external pressures. Design leaders suggested multiple opportunities to advance the use of TMFs. These included improving TMF reporting, design, and accessibility, as well as improving design teams' capacity to use TMFs appropriately in practice.
Conclusions: When designing a digital health behavior change intervention, using TMFs can help design teams to systematically integrate behavioral insights. The future of digital health behavior change design demands an easier way for designers to integrate evidence-based TMFs into practice.
(©Paula Voorheis, Aunima R Bhuiya, Kerry Kuluski, Quynh Pham, Jeremy Petch. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.03.2023.)
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فهرسة مساهمة: Keywords: behavior change; behavioral science; digital health; frameworks; health behavior; mobile health; models; theories
تواريخ الأحداث: Date Created: 20230315 Date Completed: 20230320 Latest Revision: 20240216
رمز التحديث: 20240216
مُعرف محوري في PubMed: PMC10131681
DOI: 10.2196/45095
PMID: 36920442
قاعدة البيانات: MEDLINE
الوصف
تدمد:1438-8871
DOI:10.2196/45095