Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review
In: JMIR mHealth and uHealth, Jg. 12 (2024-05-01), S. e49024
Online
academicJournal
Zugriff:
Abstract BackgroundMobile health (mHealth) interventions have immense potential to support disease self-management for people with complex medical conditions following treatment regimens that involve taking medicine and other self-management activities. However, there is no consensus on what discrete behavior change techniques (BCTs) should be used in an effective adherence and self-management–promoting mHealth solution for any chronic illness. Reviewing the extant literature to identify effective, cross-cutting BCTs in mHealth interventions for adherence and self-management promotion could help accelerate the development, evaluation, and dissemination of behavior change interventions with potential generalizability across complex medical conditions. ObjectiveThis study aimed to identify cross-cutting, mHealth-based BCTs to incorporate into effective mHealth adherence and self-management interventions for people with complex medical conditions, by systematically reviewing the literature across chronic medical conditions with similar adherence and self-management demands. MethodsA registered systematic review was conducted to identify published evaluations of mHealth adherence and self-management interventions for chronic medical conditions with complex adherence and self-management demands. The methodological characteristics and BCTs in each study were extracted using a standard data collection form. ResultsA total of 122 studies were reviewed; the majority involved people with type 2 diabetes (28/122, 23%), asthma (27/122, 22%), and type 1 diabetes (19/122, 16%). mHealth interventions rated as having a positive outcome on adherence and self-management used more BCTs (mean 4.95, SD 2.56) than interventions with no impact on outcomes (mean 3.57, SD 1.95) or those that used >1 outcome measure or analytic approach (mean 3.90, SD 1.93; P ConclusionsTo support adherence and self-management in people with complex medical conditions, mHealth tools should purposefully incorporate effective and developmentally appropriate BCTs. A cross-cutting approach to BCT selection could accelerate the development of much-needed mHealth interventions for target populations, although mHealth intervention developers should continue to consider the unique needs of the target population when designing these tools.
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Cross-Cutting mHealth Behavior Change Techniques to Support Treatment Adherence and Self-Management of Complex Medical Conditions: Systematic Review
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Autor/in / Beteiligte Person: | Cyd K Eaton ; McWilliams, Emma ; Yablon, Dana ; Kesim, Irem ; Ge, Renee ; Mirus, Karissa ; Sconiers, Takeera ; Donkoh, Alfred ; Lawrence, Melanie ; George, Cynthia ; Mary Leigh Morrison ; Muther, Emily ; Gabriela R Oates ; Sathe, Meghana ; Gregory S Sawicki ; Snell, Carolyn ; Riekert, Kristin |
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Zeitschrift: | JMIR mHealth and uHealth, Jg. 12 (2024-05-01), S. e49024 |
Veröffentlichung: | JMIR Publications, 2024 |
Medientyp: | academicJournal |
ISSN: | 2291-5222 (print) |
DOI: | 10.2196/49024 |
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