ArticleJournal of medical Internet research2019
Inequalities in the Use of eHealth Between Socioeconomic Groups Among Patients With Type 1 and Type 2 Diabetes: Cross-Sectional Study.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.JMIR mHealth and uHealth · 2022Pooled it
- Social Support Mechanisms in an Online Type 1 Diabetes Community: Social Network Analysis of Stakeholder Diversity and Disease Duration.Journal of medical Internet research · 2026Observational
- Perceptions of use and value for different types of digital health solutions among people with type 1 and 2 diabetes in France.Acta diabetologica · 2026Article
- Rasch analysis of the mobile version of the eHealth literacy scale for cardiovascular disease patients.Scientific reports · 2025Article
- The Association Between the Digital Divide and Health Inequalities Among Older Adults in China: Nationally Representative Cross-Sectional Survey.Journal of medical Internet research · 2025Article
- Differences in eHealth Access, Use, and Perceived Benefit Between Different Socioeconomic Groups in the Dutch Context: Secondary Cross-Sectional Study.JMIR formative research · 2025Article
- Rethinking the digital divide in health: a critical interpretive synthesis of research literature.Frontiers in digital health · 2025Review
- Identification of Motivational Determinants for Telemedicine Use Among Patients With Rheumatoid Arthritis in Germany: Secondary Analysis of Data From a Nationwide Cross-Sectional Survey Study.Journal of medical Internet research · 2024Article
- Factors Associated With Telemedicine Use Among Patients With Rheumatic and Musculoskeletal Disease: Secondary Analysis of Data From a German Nationwide Survey.Journal of medical Internet research · 2023Article
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- Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review.International journal of environmental research and public health · 2022Article
- Inequities in Health Care Services Caused by the Adoption of Digital Health Technologies: Scoping Review.Journal of medical Internet research · 2022Article
- A Smartphone-Based Information Communication Technology Solution for Primary Modifiable Risk Factors for Noncommunicable Diseases: Pilot and Feasibility Study in Norway.JMIR formative research · 2022Article
- Use of Health Information Technology by Adults With Diabetes in the United States: Cross-sectional Analysis of National Health Interview Survey Data (2016-2018).JMIR diabetes · 2022Article
- Personal continuity of GP care and outpatient specialist visits in people with type 2 diabetes: A cross-sectional survey.PloS one · 2022Article
- The Association Between Patients' eHealth Literacy and Satisfaction With Shared Decision-making and Well-being: Multicenter Cross-sectional Study.Journal of medical Internet research · 2021Article
- Lifestyle changes among people with type 2 diabetes are associated with participation in online groups and time since diagnosis.BMC health services research · 2021Article
- Diabetes in French Guiana, adapting national standards of therapeutic education and care to the amazonian challenge.World journal of diabetes · 2021Review
- Are lifestyle changes from online information associated with discussing the information with a doctor? A cross -sectional study.PloS one · 2021Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe prevalence of diabetes and the use of electronic health (eHealth) are increasing. People with diabetes need frequent monitoring and follow-up of health parameters, and eHealth services can be highly valuable. However, little is known about the use of eHealth in different socioeconomic groups among people with diabetes.
objectiveThe aim of this study was to investigate the use of 4 different eHealth platforms (apps, search engines, video services, and social media sites) and the association with socioeconomic status (SES) among people diagnosed with type 1 and type 2 diabetes mellitus (T1D and T2D, respectively).
methodsWe used email survey data from 1250 members of the Norwegian Diabetes Association (aged 18-89 years), collected in 2018. Eligible for analyses were the 1063 respondents having T1D (n=523) and T2D (n=545). 5 respondents reported having both diabetes types and thus entered into both groups. Using descriptive statistics, we estimated the use of the different types of eHealth. By logistic regressions, we studied the associations between the use of these types of eHealth and SES (education and household income), adjusted for gender, age, and self-rated health.
resultsWe found that 87.0% (447/514) of people with T1D and 77.7% (421/542) of people with T2D had used 1 or more forms of eHealth sometimes or often during the previous year. The proportion of people using search engines was the largest in both diagnostic groups, followed by apps, social media, and video services. We found a strong association between a high level of education and the use of search engines, whereas there were no educational differences for the use of apps, social media, or video services. In both diagnostic groups, high income was associated with the use of apps. In people with T1D, lower income was associated with the use of video services.
conclusionsThis paper indicates a digital divide among people with diabetes in Norway, with consequences that may contribute to sustaining and shaping inequalities in health outcomes. The strong relationship between higher education and the use of search engines, along with the finding that the use of apps, social media, and video services was not associated with education, indicates that adequate communication strategies for audiences with varying education levels should be a focus in future efforts to reduce inequalities in health outcomes.
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