ArticleInternational journal of medical informatics2019
Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes.
Article in International journal of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Efficacy and Acceptability of a Mobile App for Monitoring the Clinical Status of Patients With Chronic Obstructive Pulmonary Disease Receiving Home Oxygen Therapy: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Bridging the divide in digital therapeutics (DTx): Partnership strategies for broader representation across DTx development and deployment.PLOS digital health · 2026Article
- Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity.Journal of biomedical informatics · 2023Article
- Changes in Glycemic Control Following Use of a Spanish-Language, Culturally Adapted Diabetes Program: Retrospective Study.JMIR formative research · 2022Article
- Patients, caregivers, and healthcare professionals' needs when designing the content of a mobile application for the clinical monitoring of patients with chronic obstructive pulmonary disease and home oxygen therapy: A user-centered design.Internet interventions · 2022Article
- A Mobile App for Children With Asthma to Monitor Indoor Air Quality (AirBuddy): Development and Usability Study.JMIR formative research · 2022Article
- Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype.Frontiers in digital health · 2022Article
- Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis.International journal of environmental research and public health · 2021Article
- Toward the Value Sensitive Design of eHealth Technologies to Support Self-management of Cardiovascular Diseases: Content Analysis.JMIR cardio · 2021Article
- Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges.Cardiac electrophysiology clinics · 2021Review
- 'Listen and learn:' participant input in program planning for a low-income urban population at cardiovascular risk.BMC public health · 2021Article
- Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes.Journal of biomedical informatics · 2020Article
- User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study.JMIR diabetes · 2020Article
- T2 Coach: A Qualitative Study of an Automated Health Coach for Diabetes Self-Management.Proceedings of the SIGCHI conference on human factors in computing systems. CHI ConferenceArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
background and significanceData-driven interventions for health can help to personalize self-management of Type 2 Diabetes (T2D), but lack of sustained engagement with self-monitoring among disadvantaged populations may widen existing health disparities. Prior work developing approaches to increase motivation and engagement with self-monitoring holds promise, but little is known about applicability of these approaches to underserved populations.
objectiveTo explore how low-income, Latino adults with T2D respond to different design concepts for data-driven solutions in health that require self-monitoring, and what features resonate with them the most. MATERIAL AND
methodsWe developed a set of mockups that incorporated different design features for promoting engagement with self-monitoring in T2D. We conducted focus groups to examine individuals' perceptions and attitudes towards mockups. Multiple interdisciplinary researchers analyzed data using directed content analysis.
resultsWe conducted 14 focus groups with 25 English- and Spanish-speaking adults with T2D. All participants reacted positively to external incentives. Social connectedness and healthcare expert feedback were also well liked because they enhanced current social practices and presented opportunities for learning. However, attitudes were more mixed towards goal setting, and very few participants responded positively to self-discovery and personalized decision support features. Instead, participants wished for personalized recommendations for meals and other health behaviors based on their personal health data.
conclusionThis study suggests connections between individuals' degree of internal motivation and motivation for self-monitoring in health and their attitude towards designs of self-monitoring apps. We relate our findings to the self-determination continuum in self-determination theory (SDT) and propose it as a blueprint for aligning incentives for self-monitoring to different levels of motivation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.