The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases
Open accessAbstract
Alongside the growing number of older persons, the prevalence of chronic diseases is increasing, leading to higher pressure on health care services. eHealth is considered a solution for better and more efficient health care. However, not every patient is able to use eHealth, for several reasons. This study aims to provide an overview of: (1) sociodemographic factors that influence the use of eHealth; and (2) suggest directions for interventions that will improve the use of eHealth in patients with chronic disease. A structured literature review of PubMed, ScienceDirect, Association for Computing Machinery Digital Library (ACMDL), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) was conducted using four sets of keywords: “chronic disease”, “eHealth”, “factors”, and “suggested interventions”. Qualitative, quantitative, and mixed-method studies were included. Four researchers each assessed quality and extracted data. Twenty-two out of 1639 articles were included. Higher age and lower income, lower education, living alone, and living in rural areas were found to be associated with lower eHealth use. Ethnicity revealed mixed outcomes. Suggested solutions were personalized support, social support, use of different types of Internet devices to deliver eHealth, and involvement of patients in the development of eHealth interventions. It is concluded that eHealth is least used by persons who need it most. Tailored delivery of eHealth is recommended.
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Cites
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Cited by
Kaihlanen, A.-M., Virtanen, L., Buchert, U., Safarov, N., Valkonen, P., Hietapakka, L., Hörhammer, I., Kujala, S., Kouvonen, A., & Heponiemi, T. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-07584-4 · Cited by 298
Inclusion of older adults in the research and design of digital technology
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Self-citationRecommendations to advance digital health equity: A systematic review of qualitative studies
Wilson, S., Tolley, C., Mc Ardle, R., Lawson, L., Beswick, E., Hassan, N., Slight, R., & Slight, S. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01177-7 · Cited by 139
Digital Self-Management in Support of Patients Living With Chronic Pain: Feasibility Pilot Study
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“There are however some suggestions that high age could be associated with lower eHealth use, with younger people expressing more willingness and interest in using eHealth and older adults expressing worry about losing personal contact with their physicians if they start to use eHealth [66].”
BackgroundInfluentialAjayi, K. V., Wachira, E., Onyeaka, H. K., Montour, T., Olowolaju, S., & Garney, W. (2022) · JMIR mHealth and uHealth · doi:10.2196/39520 · Cited by 34
Metadata
- Authors
- Reiners, F., Sturm, J., Bouw, L. J. W., & Wouters, E. J. M.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2019-02-21
- Volume
- 16
- Issue
- 4
- Pages
- 645
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W2915398265
- Cited by
- 257
- References
- 36
- FWCI
- 58.33
- Type
- journal article
- Language
- en
- Open access
- gold
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- Reiners, F., Sturm, J., Bouw, L. J. W., & Wouters, E. J. M. (2019). Sociodemographic Factors Influencing the Use of eHealth in People with Chronic Diseases. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph16040645
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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