Tailoring mobile health apps for lifestyle management: a discrete choice experiment
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Le résumé fourni par la source
Background: Health apps designed to monitor, motivate, and educate people towards their health goals are getting more users and features each time. These apps offer valuable support for self-managing health behaviors and achieving long-term objectives. However, there is limited understanding of user preferences regarding essential app features. The aim of the study is to get insights about potential users' preferences, in order to tailor better apps for lifestyle management. Methods: We conducted a three-part web survey with 389 respondents from four countries as part of the DigiCare4You European Union (EU) project. In the first part, we collected the socioeconomic characteristics and health status of each respondent. In the following stage, we asked five questions on a Likert scale to ascertain the individual level of usage and general attitude towards technology. Finally, we performed a discrete choice experiment (DCE) using an unlabeled design and estimated the odds ratio for each feature using conditional logit analysis. We also ran alternative estimations stratifying by non-communicable disease (NCD) patients and non-NCD patients, and explored latent profile analysis (LPA) to understand whether the general attitude towards technology impacts the preference pattern between users. Results: The DCE revealed that respondents showed a clear preference for monitoring physical health over emotional status. They favored receiving lifestyle achievement notifications weekly rather than daily, and daily rather than more frequently. Similarly, respondents preferred uploading body weight measurements on a weekly or monthly basis rather than daily. Users expressed a preference for collaborating with their doctors to set exercise and diet goals, rather than either deciding independently or delegating entirely to their doctors. End-users also show a pattern of preferring notifications for goals instead of challenging other users. Preferences regarding the subjects of health content between workout routines, food recipes, and new scientific evidence were not significant; also, no statistical significance was found for the decision between follow-up visits with their doctor in person or remotely. LPA returned two groups regarding their general attitude towards technology: a lower, an intermediate, and a higher usage in their private life based on their responses to the questionnaire. Stratified DCEs have shown heterogeneity of users' preferences according to their specific attitude towards technology. Conclusions: Our study indicates that potential mobile health (mHealth) app users managing chronic conditions prefer platforms that enable shared responsibility with their doctors in defining health goals while having an intermediate level of interaction frequency with the app. These findings are key to tailoring mHealth apps that can optimize motivation triggers, support healthier lifestyles, and empower patients with chronic conditions.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Tailoring mobile health apps for lifestyle management: a discrete choice experiment
- Date Crossref
- 01/01/2026
- Éditeur
- AME Publishing Company
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Scuola Superiore Sant'Anna pays non établi dans la noticeUniversité ou école supérieure
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Medical University of Varna Department of Social Medicine and Health Care Organization pays non établi dans la noticeUniversité ou école supérieure
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University of Medicine Tirana pays non établi dans la noticeUniversité ou école supérieure
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University of Tirana pays non établi dans la noticeUniversité ou école supérieure
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Universidad de Zaragoza pays non établi dans la noticeUniversité ou école supérieure
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Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition pays non établi dans la noticeStructure de recherche
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Centro de Investigación y Tecnología Agroalimentaria de Aragón pays non établi dans la noticeStructure de recherche
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Instituto de Investigación Sanitaria Aragón pays non établi dans la noticeInstitution
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Harokopio University of Athens pays non établi dans la noticeUniversité ou école supérieure
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Hellenic Mediterranean University Institute of Agri-Food and Life Sciences pays non établi dans la noticeUniversité ou école supérieure
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Institute of Management Department of L'EMbeDS pays non établi dans la noticeStructure de recherche
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University of Medicine of Tirana Service of Endocrinology & Metabolic Diseases pays non établi dans la noticeUniversité ou école supérieure
Scuola Superiore Sant'Anna, Department of Social Medicine and Health Care Organization — Medical University of Varna et University of Medicine Tirana, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.