ArticleJournal of the American Medical Informatics Association : JAMIA2026
Digital health technology burden and frustration among patients with multimorbidity.
Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Foundation models for cardiovascular diseases and medicine.European heart journal. Digital health · 2026Review
- Returning value to communities from the All of Us Research Program through the lens of social determinants of health and ethical, legal, and social implications.International journal for equity in health · 2026Review
- Using shared clinical decision support to reduce adverse drug events and improve patient safety.Frontiers in digital health · 2025Review
- The collaborations among healthcare systems, research institutions, and industry on artificial intelligence research and development.Frontiers in artificial intelligence · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to characterize patterns of digital health technology (DHT) use and examine the relationships between multimorbidity, DHT adoption, and user-reported frustration, with a focus on identifying socioeconomic and phenotypic determinants of digital health burden. MATERIALS AND
methodsA cross-sectional analysis was conducted using nationally representative public data from Health Information National Trends Survey (HINTS) 7. Adults with at least one chronic condition were included (N = 3753). The outcomes were the number of DHTs used and frustration with digital tools. Multivariable logistic regression models were employed, adjusting for sociodemographic and clinical variables. Phenotypic subgroup analyses were conducted based on multimorbidity, DHT use, and frustration patterns.
resultsAmong 3753 participants, 46.9% had multimorbidity. Participants with multimorbidity reported using a greater number of DHTs on average (mean = 3.9 vs 3.6, P < .001) compared to those with a single condition, yet exhibited significantly higher rates of frustration with digital tasks (61.2% vs 54.1%, P < .001). Both higher income and educational groups were associated with lower odds of frustration. Greater DHT use was also independently associated with reduced frustration (OR = 0.78, 95% CI: 0.71-0.87, P < .01). Phenotypic subgroup analysis further identified individuals with multimorbidity and low DHT versatility as the most vulnerable profile, characterized by older age, lower socioeconomic status, and the highest frustration prevalence (60.3%).
conclusionWhile individuals with multimorbidity use more DHTs, they experience greater frustration, particularly those with lower socioeconomic status. However, higher engagement with DHTs (as measured by number of technology types adopted) is associated with lower frustration, suggesting that technology proficiency may mitigate burden. Targeted, equity-conscious interventions, including competency-based digital literacy programs, simplified user-centered design, and structural supports addressing device access and connectivity, are needed to reduce digital health burden and improve outcomes for patients living with multiple chronic conditions.
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