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A narrative synthesis systematic review of digital self-monitoring interventions for middle-aged and older adults

OBJECTIVE: Self-monitoring is crucial to raise awareness for own behaviors and emotions, and thus facilitate self-management. The composition of self-monitoring within interventions, however, varies and guidelines are currently unavailable. This review aimed to provide a comprehensive overview of te...

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Detalles Bibliográficos
Autores principales: Bartels, Sara Laureen, van Knippenberg, Rosalia J.M., Dassen, Fania C.M., Asaba, Eric, Patomella, Ann-Helen, Malinowsky, Camilla, Verhey, Frans R.J., de Vugt, Marjolein E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926211/
https://www.ncbi.nlm.nih.gov/pubmed/31890630
http://dx.doi.org/10.1016/j.invent.2019.100283
Descripción
Sumario:OBJECTIVE: Self-monitoring is crucial to raise awareness for own behaviors and emotions, and thus facilitate self-management. The composition of self-monitoring within interventions, however, varies and guidelines are currently unavailable. This review aimed to provide a comprehensive overview of technology-based self-monitoring interventions that intend to improve health in middle-aged and older adults (>45 years). METHODS: Five online databases were systematically searched and articles were independently screened. A narrative synthesis of 26 studies with 21 unique interventions was conducted. Primary focus lay on the composition of self-monitoring within interventions, including technology used, health-aspects monitored, and type of feedback provided. Secondly, the usability of/adherence to the self-monitoring treatment, intervention effects, and their sustainability were examined. FINDINGS: Studies concentrated on middle-aged adults (mean of 51 years). Mobile technologies seem necessary to ensure flexible self-monitoring in everyday life. Social health aspects were rarely monitored. Mechanisms and the sustainability of intervention effect are understudied. CONCLUSION: Digital self-monitoring technologies hold promise for future trials as they seem suitable to understand and support health-related self-management. Key elements including automatic and personal feedback following the blended care principle were highlighted and may guide study designs. Prospectively, research is especially needed to study sustained self-monitoring to support disease prevention and lasting lifestyle changes.