Developing the "Choosing Health" Digital Weight Loss and Maintenance Intervention : Intervention Mapping Study
Palacz-Poborczyk, I., Idziak, P., Januszewicz, A., Luszczynska, A., Quested, E., Naughton, F., Hagger, M. S., Pagoto, S., Verboon, P., Robinson, S., & Kwasnicka, D. (2022). Developing the "Choosing Health" Digital Weight Loss and Maintenance Intervention : Intervention Mapping Study. Journal of Medical Internet Research, 24(10), Article e34089. https://doi.org/10.2196/34089
Published in
Journal of Medical Internet ResearchAuthors
Date
2022Copyright
©Iga Palacz-Poborczyk, Paulina Idziak, Anna Januszewicz, Aleksandra Luszczynska, Eleanor Quested, Felix Naughton, Martin S Hagger, Sherry Pagoto, Peter Verboon, Suzanne Robinson, Dominika Kwasnicka. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.10.2022.
Background:
Digital health promotion programs tailored to the individual are a potential cost-effective and scalable solution to enable self-management and provide support to people with excess body weight. However, solutions that are widely accessible, personalized, and theory- and evidence-based are still limited.
Objective:
This study aimed to develop a digital behavior change program, Choosing Health, that could identify modifiable predictors of weight loss and maintenance for each individual and use these to provide tailored support.
Methods:
We applied an Intervention Mapping protocol to design the program. This systematic approach to develop theory- and evidence-based health promotion programs consisted of 6 steps: development of a logic model of the problem, a model of change, intervention design and intervention production, the implementation plan, and the evaluation plan. The decisions made during the Intervention Mapping process were guided by theory, existing evidence, and our own research—including 4 focus groups (n=40), expert consultations (n=12), and interviews (n=11). The stakeholders included researchers, public representatives (including individuals with overweight and obesity), and experts from a variety of relevant backgrounds (including nutrition, physical activity, and the health care sector).
Results:
Following a structured process, we developed a tailored intervention that has the potential to reduce excess body weight and support behavior changes in people with overweight and obesity. The Choosing Health intervention consists of tailored, personalized text messages and email support that correspond with theoretical domains potentially predictive of weight outcomes for each participant. The intervention content includes behavior change techniques to support motivation maintenance, self-regulation, habit formation, environmental restructuring, social support, and addressing physical and psychological resources.
Conclusions:
The use of an Intervention Mapping protocol enabled the systematic development of the Choosing Health intervention and guided the implementation and evaluation of the program. Through the involvement of different stakeholders, including representatives of the general public, we were able to map out program facilitators and barriers while increasing the ecological validity of the program to ensure that we build an intervention that is useful, user-friendly, and informative. We also summarized the lessons learned for the Choosing Health intervention development and for other health promotion programs.
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Publisher
JMIR Publications Inc.ISSN Search the Publication Forum
1439-4456Keywords
intervention Mapping behavior change behavior maintenance behavioral theory digital health obesity overweight randomized controlled trial weight loss within-person design käyttäytymismallit terveyden edistäminen painonhallinta lihavuus interventio satunnaistetut vertailukokeet terveyskäyttäytyminen laihdutus teleterveydenhuolto interventiotutkimus ylipaino
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https://converis.jyu.fi/converis/portal/detail/Publication/159497452
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Additional information about funding
The Choosing Health project was carried out within the HOMING program of the Foundation for Polish Science, cofinanced by the European Union under the European Regional Development Fund (grant POIR.04.04.00-00-5CF3/18-00; HOMING 5/2018).License
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