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Scientific article
Open access
English

Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study

Published inJMIR research protocols, vol. 12, e38603
Publication date2023-01-05
First online date2023-01-05
Abstract

Background

Mobile health apps have the potential to motivate people to adopt healthier behavior, but many fail to maintain this behavior over time. However, it has been suggested that long-term adherence can be improved by personalizing the proposed interventions. Based on the literature, we created a conceptual framework for selecting appropriate functionalities according to the user's profile.

Objective

This cross-sectional study aims to investigate if the relationships linking functionalities and profiles proposed in our conceptual framework are confirmed by user preferences.

Methods

A web-based questionnaire comprising several sections was developed to determine the mobile app functionalities most likely to promote healthier behavior. First, participants completed questionnaires to define the user profile (Big Five Inventory-10, Hexad Scale, and perception of the social norm using dimensions of the Theory of Planned Behavior). Second, participants were asked to select the 5 functionalities they considered to be the most relevant to motivate healthier behavior and to evaluate them on a score ranging from 0 to 100. We will perform logistic regressions with the selected functionalities as dependent variables and with the 3 profile scales as predictors to allow us to understand the effect of the participants’ scores on each of the 3 profile scales on the 5 selected functionalities. In addition, we will perform logistic ordinal regressions with the motivation score of the functionalities chosen as dependent variables and with scores of the 3 profile scales as predictors to determine whether the scores on the different profile scales predict the functionality score.

Results

Data collection was conducted between July and December 2021. Analysis of responses began in January 2022, with the publication of results expected by the end of 2022.

Conclusions

This study will allow us to validate our conceptual model by defining the preferred functionalities according to user profiles.

eng
Keywords
  • Behavior change theory
  • Functionalities
  • Gamification
  • MHealth
  • Mobile app
  • Mobile health
  • Personalization
Citation (ISO format)
GOSETTO, Laëtitia et al. Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study. In: JMIR research protocols, 2023, vol. 12, p. e38603. doi: 10.2196/38603
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Article (Published version)
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Identifiers
ISSN of the journal1929-0748
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Technical informations

Creation01/31/2023 4:20:00 PM
First validation01/31/2023 4:20:00 PM
Update time03/16/2023 10:36:01 AM
Status update03/16/2023 10:36:01 AM
Last indexation02/01/2024 9:33:54 AM
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