Observational studyJournal of the American Medical Informatics Association : JAMIA2020
Self-monitoring diabetes with multiple mobile health devices.
Observational study in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021Trial
- Enhancing MAFLD Care: Efficacy of a Multidisciplinary Community Intervention on Self-Management and Hepatic Outcomes.Inquiry : a journal of medical care organization, provision and financingTrial
- 7. Diabetes Technology: Standards of Care in Diabetes-2026.Diabetes care · 2026Review
- Six-Month Home-Based Telemedicine Program for Heart Failure and Type 2 Diabetes Patients: Applicability, Usability of Telemonitoring Devices and Apps, and Patient Satisfaction.Healthcare (Basel, Switzerland) · 2025Article
- Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study.JMIR diabetes · 2025Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2025.Diabetes care · 2025Review
- Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review.Interactive journal of medical research · 2024Article
- EXpanding Technology-Enabled, Nurse-Delivered Chronic Disease Care (EXTEND): Protocol and Baseline Data for a Randomized Trial.Contemporary clinical trials · 2024Article
- Predicting health outcomes with intensive longitudinal data collected by mobile health devices: a functional principal component regression approach.BMC medical research methodology · 2024Article
- Mobile Monitoring-Enabled Telehealth for Patients with Complex Chronic Illnesses.Studies in health technology and informatics · 2024Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2024.Diabetes care · 2024Review
- mHealth Self-Monitoring Model for Medicine Adherence of Patients With Diabetes in Resource-Limited Countries: Structural Equation Modeling Approach.JMIR formative research · 2023Article
- Improving Predictability and Effectiveness in Preventive Digital Health Interventions: Scoping Review.Interactive journal of medical research · 2023Article
- Personal Health Data Tracking by Blind and Low-Vision People: Survey Study.Journal of medical Internet research · 2023Article
- The Clinical Impact of Flash Glucose Monitoring-a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review.JMIR diabetes · 2023Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2023.Diabetes care · 2023Review
- Data Collection Mechanisms in Health and Wellness Apps: Review and Analysis.JMIR mHealth and uHealth · 2022Review
- Validating a Self-Reported Medication Nonadherence Measure in the Context of Multiple Chronic Diseases and Routes of Medication Administration Among Patients with Type 2 Diabetes.Patient preference and adherence · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveThe purpose of this study was to examine the use of multiple mobile health technologies to generate and transmit data from diverse patients with type 2 diabetes mellitus (T2DM) in between clinic visits. We examined the data to identify patterns that describe characteristics of patients for clinical insights.
methodsWe enrolled 60 adults with T2DM from a US healthcare system to participate in a 6-month longitudinal feasibility trial. Patient weight, physical activity, and blood glucose were self-monitored via devices provided at baseline. Patients also responded to biweekly medication adherence text message surveys. Data were aggregated in near real-time. Measures of feasibility assessing total engagement in device submissions and survey completion over the 6 months of observation were calculated.
resultsIt was feasible for participants from different socioeconomic, educational, and racial backgrounds to use and track relevant diabetes-related data from multiple mobile health devices for at least 6 months. Both the transmission and engagement of the data revealed notable patterns and varied by patient characteristics. DISCUSSION: Using multiple mobile health tools allowed us to derive clinical insights from diverse patients with diabetes. The ubiquitous adoption of smartphones across racial, educational, and socioeconomic populations and the integration of data from mobile health devices into electronic health records present an opportunity to develop new models of care delivery for patients with T2DM that may promote equity as well.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.