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Digital technology and nursing care: a scoping review on acceptance, effectiveness and efficiency studies of informal and formal care technologies
Open accessAbstract
BACKGROUND: The existence, usage and benefits of digital technologies in nursing care are relevant topics in the light of the current discussion on technologies as possible solutions to problems such as the shortage of skilled workers and the increasing demand for long-term care. A lack of good empirical overviews of existing technologies in the present literature prompted us to conduct this review. Its purpose was to map the field of digital technologies for informal and formal care that have already been explored in terms of acceptance, effectiveness and efficiency (AEE), and to show the scope of the used methods, target settings, target groups and fields of support. METHODS: A systematic literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. In addition, project websites were manually screened for relevant publications. RESULTS: Seven hundred fifteen papers were included in the review. Effectiveness studies have been most frequently performed for ICT, robots and sensors. Acceptance studies often focussed on ICT, robots and EHR/EMR. Efficiency studies were generally rare. Many studies were found to have a low level of evidence. Experimental designs with small numbers and without control groups were the most common methods used to evaluate acceptance and effectiveness. Study designs with high evidence levels were most commonly found for ICT, robots and e-learning. Technologies evaluated for informal caregivers and children or indicated for formal care at home or in cross-sectoral care were rare. CONCLUSION: We recommend producing high-quality evaluations on existing digital technologies for AEE in real-life settings rather than systematic reviews with low-quality studies. More focus should be placed on research into efficiency. Future research should be devoted to a closer examination of the applied AEE evaluation methods. Policymakers should provide funding to enable large-scale, long-term evaluations of technologies in the practice of care, filling the research gaps for technologies, target settings and target groups identified in this review.
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“This could be explained by the fact that the average participating IC was 14 years younger than their CDOA and thus had more contact with technology in their daily life [40].”
From Perceptions About Technologies That Help Community-Dwelling Older Adults Remain at Home: Qualitative Study (2020) · cites this paper as [40]
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Metadata
- Authors
- Krick, T., Huter, K., Domhoff, D., Schmidt, A., Rothgang, H., & Wolf-Ostermann, K.
- Affiliations
- University of Bremen (DE)
- Corresponding author
- Krick, Tobias
- Venue
- BMC Health Services Research
- Published
- 2019-06-20
- Volume
- 19
- Issue
- 1
- Pages
- 400-400
- ISSN
- 1472-6963 (ISSN-L)
- PMC
- PMC6585079
- OpenAlex
- W2952147205
- Cited by
- 279
- References
- 66
- Citations by year
- 2026: 28 · 2025: 48 · 2024: 61 · 2023: 40 · 2022: 40 · 2021: 31 · 2020: 28 · 2019: 3
- FWCI
- 7.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Health Services Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Bundesministerium für Bildung und Forschung (16SV7821)
- Topics
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Health › Social Policies and Healthcare Reform
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- informal care, formal care, care robots, sensors, information and communication technologies, electronic health records, online learning, long-term care, caregiver shortage, assessment methods, research gaps
- MeSH terms
- Humans, Nursing Care, Technology, Nursing Evaluation Research
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