ArticlePloS one2023
Digital health for chronic disease management: An exploratory method to investigating technology adoption potential.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- A realist review of factors critical for the implementation of eHealth in chronic disease management.BMC health services research · 2025Pooled it
- Decídetexto: Mobile Cessation Support for Latino Adults Who Smoke: A Randomized Clinical Trial.Chest · 2025Trial
- Identifying Subgroups in Acceptance and Intended Use of Digital Technologies and the Role of Economic, Cultural, Social, and Person Capital: Latent Class Analysis.Journal of medical Internet research · 2026Article
- Experiences With Technology Among Adults Aging With HIV Engaged in an Online Community-Based Exercise Intervention Study: Longitudinal Qualitative Descriptive Study and Secondary Data Analysis.JMIR rehabilitation and assistive technologies · 2026Article
- Acceptability of Telehealth as the Default Modality for Multiple Sclerosis Care in Switzerland: Cross-Sectional Study.JMIR mHealth and uHealth · 2026Article
- Digital Health Interventions to Support Chronic Disease Management: Systematic Scoping Review.JMIR mHealth and uHealth · 2026Article
- Intention to Use Digital Health Among COPD Patients in Europe: A Cluster Analysis.Healthcare (Basel, Switzerland) · 2026Article
- From pilots to platforms: making digital health work for chronic disease management.Frontiers in public health · 2026Review
- Digital health solutions for chronic disease physical activity management: wearable devices, artificial intelligence, and public health implementation.Frontiers in public health · 2026Review
- Empowering chronic disease management with smart healthcare in China: a policy effectiveness evaluation by PMC index model.Frontiers in public health · 2026Article
- Bangkok declarations on cancer control in Asia.The Lancet regional health. Western Pacific · 2025Review
- Willingness of patients with chronic diseases to use telepharmacy services in Bandung City, West Java, Indonesia.Scientific reports · 2025Article
- Digital Health Platform for Improving the Effect of the Active Health Management of Chronic Diseases in the Community: Mixed Methods Exploratory Study.Journal of medical Internet research · 2024Article
- Determining the Effect of Fear of Illness and Virus Evaluation and Quality of Life on Diagnosis of Social Phobia in Patients With Chronic Disease: Using Machine Learning Approaches.Florence Nightingale journal of nursing · 2024Article
- Real-world patterns in remote longitudinal study participation: A study of the Swiss Multiple Sclerosis Registry.PLOS digital health · 2024Article
- Effects of a Digital Care Pathway for Multiple Sclerosis: Observational Study.JMIR human factors · 2024Observational
- Sufficiency for PSS tracking gait disorders in multiple sclerosis: A managerial perspective.Heliyon · 2024Article
- Review
- Content and Duration of Doctor-Patient Communication in Outpatient Oncology Follow-Up Consultations in China.Cureus · 2024Article
- Adopting information and communications technology in the control, prevention, and management of stroke: perspectives from patients and providers in Uganda.Frontiers in stroke · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe availability of consumer-facing health technologies for chronic disease management is skyrocketing, yet most are limited by low adoption rates. Improving adoption requires a better understanding of a target population's previous exposure to technology. We propose a low-resource approach of capturing and clustering technology exposure, as a mean to better understand patients and target health technologies.
methodsUsing Multiple Sclerosis (MS) as a case study, we applied exploratory multivariate factorial analyses to survey data from the Swiss MS Registry. We calculated individual-level factor scorings, aiming to investigate possible technology adoption clusters with similar digital behavior patterns. The resulting clusters were transformed using radar and then compared across sociodemographic and health status characteristics.
resultsOur analysis included data from 990 respondents, resulting in three clusters, which we defined as the (1) average users, (2) health-interested users, and (3) low frequency users. The average user uses consumer-facing technology regularly, mainly for daily, regular activities and less so for health-related purposes. The health-interested user also uses technology regularly, for daily activities as well as health-related purposes. The low-frequency user uses technology infrequently.
conclusionsOnly about 10% of our sample has been regularly using (adopting) consumer-facing technology for MS and health-related purposes. That might indicate that many of the current consumer-facing technologies for MS are only attractive to a small proportion of patients. The relatively low-resource exploratory analyses proposed here may allow for a better characterization of prospective user populations and ultimately, future patient-facing technologies that will be targeted to a broader audience.
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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.