An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions

This study evidences the effectiveness of the gamification category of behavior change techniques in increasing the overall user adherence, expectations, and perceived usability. In addition, the results provide quantitative results on the effect of the most common categories of behavior change techniques for the self-report of lifestyle data. Therefore, a higher duration in the study has shown several limitations when capturing lifestyle data, especially when including wearable devices such as Fitbit.

Authors

Institutions

Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-01-10
DOI
https://doi.org/10.1186/s12911-024-02833-4
Citations
2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
5.63

Funders

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article

An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions

Maria Inês Remígio de Aguiar, Itziar Tueros, Garazi Artola, Gorka Epelde et al.
2 citations
BMC Medical Informatics and Decision Making
Mobile Health and mHealth Applications
5.63
article

An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions

Maria Inês Remígio de Aguiar, Itziar Tueros, Garazi Artola, Gorka Epelde, Roberto Bilbao, Deisy Chaves, Unai Ayala, Ander Cejudo, María Trujillo
article en
2 citations

Abstract

This study evidences the effectiveness of the gamification category of behavior change techniques in increasing the overall user adherence, expectations, and perceived usability. In addition, the results provide quantitative results on the effect of the most common categories of behavior change techniques for the self-report of lifestyle data. Therefore, a higher duration in the study has shown several limitations when capturing lifestyle data, especially when including wearable devices such as Fitbit.

BMC Medical Informatics and Decision MakingVol. 25(1)
Ikerbasque (ES), Universidad de Deusto (ES), Mondragon Unibertsitatea (ES), Basque Government (ES), Vicomtech (ES), AZTI (ES), Biogipuzkoa Health Research Institute (ES), Universidad del Valle (CO)
Eusko Jaurlaritza
Openalex Percentile: Top 7%
Mobile Health and mHealth Applications
5.63
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An approach to boost adherence to self-data reporting in mHealth applications for users without specific health conditions — Maria Inês Remígio de Aguiar, Itziar Tueros, et al. · BMC Medical Informatics and Decision Making (2025) | TGRS Research Map | TGRS