Factors Affecting Electronic Health Record Adoption in Long-Term Care Facilities
Abstract
Electronic health records (EHRs) hold the potential to significantly improve the quality of care in long-term care (LTC) facilities, yet limited research has been done on how facilities decide to adopt these records. This study was conducted to identify factors that hinder and facilitate EHR adoption in LTC facilities. Study participants were LTC nurses, administrators, and corporate executives. Primary barriers identified were costs, the need for training, and the culture change required to embrace technology. Primary facilitators were training programs, well-defined implementation plans, government assistance with implementation costs, evidence that EHRs will improve care outcomes, and support from state regulatory agencies. These results offer a framework of action for policy makers, LTC Leaders, and researchers.
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IT support before, during, and after initial eHealth implementation facilitates eHealth acceptance and use.
“IT support before, during, and after initial eHealth implementation can provide a smooth transition to their reengineered job routine and overcome their technology phobia, hence facilitating eHealth acceptance and use (eg, [27,78,81]).”
From Health Care Provider Adoption of eHealth: Systematic Literature Review (2013) · cites this paper as [78]
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- Authors
- Cherry, B., Carter, M., Owen, D., & Lockhart, C.
- Affiliations
- Texas Tech University (US)
- University of Tennessee Health Science Center (US)
- ORCID
- Owen, Donna
- Venue
- Journal for Healthcare Quality
- Published
- 2008-03
- Volume
- 30
- Issue
- 2
- Pages
- 37-47
- ISSN
- 1062-2551 (ISSN-L)
- OpenAlex
- W2102758450
- Cited by
- 81
- References
- 40
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 4 · 2020: 5 · 2019: 2 · 2018: 7 · 2017: 8 · 2016: 5 · 2015: 10 · 2014: 9 · 2013: 8 · 2012: 4
- FWCI
- 7.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal for Healthcare Quality (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Nursing › Issues, ethics and legal aspects › Nursing Diagnosis and Documentation
- Health Sciences › Health Professions › General Health Professions › Geriatric Care and Nursing Homes
- Keywords
- electronic health records, EHR adoption, long-term care facilities, technology adoption barriers, implementation costs, employee training, organizational culture change, government support, state regulatory authority, nursing homes
- MeSH terms
- Administrative Personnel, Diffusion of Innovation, Educational Status, Female, Humans, Inservice Training, Long-Term Care, Male, Organizational Innovation, Surveys and Questionnaires, Texas, Medical Records Systems, Computerized, Focus Groups, Efficiency, Organizational, Health Facility Administration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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