ArticleDiabetes technology & therapeutics2017
mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis.
Article in Diabetes technology & therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Patients' perspectives on medication adherence feedback interventions for managing long-term medications: a systematic review of qualitative evidence.International journal of clinical pharmacy · 2026Pooled it
- Effects of E-health-based interventions on glycemic control for patients with type 2 diabetes: a Bayesian network meta-analysis.Frontiers in endocrinology · 2023Pooled it
- A Systematic Review of Patient-Perceived Barriers and Facilitators to the Adoption and Use of Remote Health Technology to Manage Diabetes and Cardiovascular Disease among Disproportionately Affected Populations.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Pooled it
- Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study.Journal of medical Internet research · 2018Trial
- Understanding Use Intention of mHealth Applications Based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2) Model in China.International journal of environmental research and public health · 2023Article
- Analyzing User Engagement Within a Patient-Reported Outcomes Texting Tool for Diabetes Management: Engagement Phenotype Study.JMIR diabetes · 2022Article
- Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study.JMIR human factors · 2022Article
- Article
- Patients' Views on the Design of DiabeText, a New mHealth Intervention to Improve Adherence to Oral Antidiabetes Medication in Spain: A Qualitative Study.International journal of environmental research and public health · 2022Article
- Effects of User Characteristics on the Usability of a Home-Connected Medical Device (Smart Angel) for Ambulatory Monitoring: Usability Study.JMIR human factors · 2021Article
- Article
- User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study.JMIR diabetes · 2020Article
- Article
- Experiences of Adults With Type 1 Diabetes Using Glucose Sensor-Based Mobile Technology for Glycemic Variability: Qualitative Study.JMIR diabetes · 2019Article
- What do people with type 2 diabetes want from a brief messaging system to support medication adherence?Patient preference and adherence · 2019Article
- Developing "Aryan:" Diabetes Self-care Mobile Application.International journal of preventive medicine · 2019Article
- Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis.JMIR mHealth and uHealth · 2018Article
- The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial.JMIR mHealth and uHealth · 2017Article
- Text Messaging May Engage and Benefit Adults with Type 2 Diabetes Regardless of Health Literacy Status.Health literacy research and practice · 2017Article
- One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement.JMIR diabetes · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundMobile health (mHealth) interventions are improving the medication adherence of adults with type 2 diabetes mellitus (T2DM), but few studies examine how users experience these interventions. Therefore, we used a mixed-methods approach to understand how T2DM users experience a text messaging and interactive voice response (IVR)-delivered medication adherence intervention called MEssaging for Diabetes (MED).
methodsAdults with T2DM used MED as part of a 3-month pilot study. MED sends daily tailored text messages addressing adherence barriers, daily assessment text messages asking about adherence, and weekly tailored IVR calls providing adherence feedback, encouragement, and questions to facilitate problem solving. Sixty participants completed feedback interviews. We used a mixed-methods approach to understand their experience, examining associations between participants' characteristics and their feedback.
resultsParticipants who completed feedback interviews were on average 50.0 ± 10.1 years old; 65% female, 62% non-white; 15% had less than a high school education, 70% had annual incomes less than $20K; and average hemoglobin A1c was 8.0% ± 1.9%. Participants rated each intervention element favorably; common reasons for MED's helpfulness included receiving novel information about diabetes medications, emotional support, and reminders to take medication. People who were younger and more recently diagnosed with T2DM had more favorable experiences using MED. In general, users valued text messages more than IVR calls.
conclusionsConsideration of the user experience is critical for developing engaging mHealth interventions. User feedback reveals what mHealth elements have the most value and why, which users to target, and how to optimize an intervention's utility and appeal.
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