ArticleJournal of the American Medical Informatics Association : JAMIA2020
Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review.
Article 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 48 papers, 1 of them a synthesis 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
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Barriers to and Facilitators of Digital Health Among Culturally and Linguistically Diverse Populations: Qualitative Systematic Review.Journal of medical Internet research · 2023Pooled it
- The Goldilocks Dilemma on Balancing User Response and Reflection in mHealth Interventions: Observational Study.JMIR mHealth and uHealth · 2024Trial
- Patient Portal Adoption Barriers in a Safety-Net Clinic: A Mixed-Methods Study With National Comparison.The Permanente journal · 2026Article
- Renaclic for Chronic Kidney Disease Self-Management: Formative User-Centered Co-Design Study.JMIR formative research · 2026Article
- Assessment of electronic health literacy and its associated factors among internet -using primary health care attendees in Mansoura district, Egypt: a cross-sectional study.BMC public health · 2026Article
- Engagement and Intersectionality in Digital Self-Management Interventions for Asthma and Chronic Obstructive Pulmonary Disease: Scoping Review.Journal of medical Internet research · 2026Article
- Unique Digital Images as Incentives in Clinical Trials: A Digital Shift Toward Meaningful Participation.Journal of medical Internet research · 2026Article
- Development and Value of a Centralized Text Message-based Tracking and Support Program for the PRECIDENTD Study.Medical care · 2026Article
- Who Uses Patient Portals? A National Cross-Sectional Study Using Epic Cosmos.Journal of general internal medicine · 2025Article
- Mobile health management needs among infertile patients: a cross-sectional study based on the PRECEDE-PROCEED model.BMC health services research · 2025Article
- Intention to use and perceived satisfaction with a digital tool for dementia prevention among the Dutch general public: a cross-sectional study.BMC public health · 2025Observational
- Down the Digital Delta: Health Information Inequities Among Rural Mississippi Caregivers.Healthcare (Basel, Switzerland) · 2025Article
- Using routinely available electronic health record data elements to develop and validate a digital divide risk score.JAMIA open · 2025Article
- Utilization, Satisfaction, and Clinical Outcomes of People of Color and White Adults Using an Employer-Sponsored Digital Mental Health Platform.International journal of environmental research and public health · 2024Observational
- The Effects of the COVID-19 Pandemic on Age-Based Disparities in Digital Health Technology Use: Secondary Analysis of the 2017-2022 Health Information National Trends Survey.Journal of medical Internet research · 2024Observational
- Centering Digital Health Equity During Technology Innovation: Protocol for a Comprehensive Scoping Review of Evidence-Based Tools and Approaches.JMIR research protocols · 2024Article
- Factors Associated with Online Patient Portal Utilization Experience in an Arkansas Phone Survey.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024Article
- Cultural Responsivity in Technology-Enabled Services: Integrating Culture Into Technology and Service Components.Journal of medical Internet research · 2023Article
- The Impact of Accelerated Digitization on Patient Portal Use by Underprivileged Racial Minority Groups During COVID-19: Longitudinal Study.Journal of medical Internet research · 2023Article
- Predictors of program interest in a digital health pilot study for heart health.PLOS digital health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveThe study sought to determine which patient characteristics are associated with the use of patient-facing digital health tools in the United States. MATERIALS AND
methodsWe conducted a literature review of studies of patient-facing digital health tools that objectively evaluated use (eg, system/platform data representing frequency of use) by patient characteristics (eg, age, race or ethnicity, income, digital literacy). We included any type of patient-facing digital health tool except patient portals. We reran results using the subset of studies identified as having robust methodology to detect differences in patient characteristics.
resultsWe included 29 studies; 13 had robust methodology. Most studies examined smartphone apps and text messaging programs for chronic disease management and evaluated only 1-3 patient characteristics, primarily age and gender. Overall, the majority of studies found no association between patient characteristics and use. Among the subset with robust methodology, white race and poor health status appeared to be associated with higher use. DISCUSSION: Given the substantial investment in digital health tools, it is surprising how little is known about the types of patients who use them. Strategies that engage diverse populations in digital health tool use appear to be needed.
conclusionFew studies evaluate objective measures of digital health tool use by patient characteristics, and those that do include a narrow range of characteristics. Evidence suggests that resources and need drive use.
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.