ArticleJournal of medical Internet research2023
Factors That Influence the Use of eHealth in Home Care: Scoping Review and Cross-sectional Survey.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Usability and feasibility of a wearable sensor-based monitoring system providing feedback on sedentary behaviour during inpatient and home-based geriatric rehabilitation.European geriatric medicine · 2026Article
- Health Care Professionals' Perspectives on Using eHealth Tools in Advanced Home Care: Qualitative Interview Study.JMIR human factors · 2025Article
- Specialized Home Care Needs and Models for Disabled Older Adults by Disability Level: A Cross-Sectional Study.Journal of nursing management · 2025Article
- Article
- Health Care Workers' Expectations of the Mercury Advance SMARTcare Solution to Prevent Pressure Injuries: Individual and Focus Group Interview Study.JMIR nursing · 2024Article
- Barriers to smoking interventions in community healthcare settings: a scoping review.Health promotion international · 2024Article
- eHealth in Geriatric Rehabilitation: An International Survey of the Experiences and Needs of Healthcare Professionals.Journal of clinical medicine · 2023Article
- Knowledge Is (Still) Key: Awareness to Shape Trends in Telemedicine Use during the Pandemic Based on Management Perceptions and Implementation Systems.International journal of telemedicine and applications · 2023Article
- Perceptions of self-monitoring dietary intake according to a plate-based approach: A qualitative study.PloS one · 2023Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn home care, eHealth implementation requires health care professionals and home care clients to change their behavior because they have to incorporate the use of eHealth into their daily routines. Knowledge of factors that influence the use of eHealth in home care is needed to optimize implementation strategies. However, a comprehensive overview of such factors is lacking.
objectiveThe aims of this study were to (1) provide insight into the types of eHealth that are used and preferred in home care and (2) identify factors that influence the use of eHealth in home care according to health care professionals and home care clients.
methodsA scoping review and online, cross-sectional survey were conducted sequentially. The survey was conducted among Dutch health care professionals with a nursing background who were working for a home care organization at the time. The capability, opportunity, motivation, behavior (COM-B) model, which posits that for any behavior (B) to occur, a person must have the capability (C), opportunity (O), and motivation (M) to perform the behavior, was used to identify influencing factors. The use of a theoretical model may contribute to a better understanding of how to achieve and sustain behavior change in clinical practice.
resultsWe included 30 studies in the scoping review. The most frequently studied type of eHealth was a telecommunication/telemonitoring system. The survey was completed by 102 participants. The most frequently used types of eHealth were electronic health records, social alarms, and online client portals. A health app was the most frequently preferred type of eHealth. We identified 22 factors that influence the use of eHealth in home care according to health care professionals and home care clients. Influencing factors were organized into the components of the COM-B model, namely capability (n=6), opportunity (n=10), and motivation (n=6). We found that there is no single influencing factor that is key to the complexity of eHealth implementation.
conclusionsDifferent types of eHealth are used, and many types of eHealth are preferred by health care professionals. The identified factors that influence the use of eHealth in home care relate to all components of the COM-B model. These factors need to be addressed and embedded in implementation strategies of eHealth to optimize the use of eHealth in home care.
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