Evidence map›Paper›PMID 30579920›Full record

ArticleJournal of the American Medical Directors Association2019

Adoption of Health Information Technology Among US Nursing Facilities.

Joshua R Vest, Hye-Young Jung, Kevin Wiley, Harold Kooreman, Lorren Pettit, Mark A Unruh

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Trial
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  7. [Modeling and comfort analysis of arrayed air cushion mattress for pressure ulcer prevention and assisted repositioning].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  8. Article
  9. Article
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  13. Reimagining Infection Control in U.S. Nursing Homes in the Era of COVID-19.Journal of the American Medical Directors Association · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Health Data Sharing in US Nursing Homes: A Mixed Methods Study.Journal of the American Medical Directors Association · 2021
    Article
  18. Article
  19. An evaluation of telehealth expansion in U.S. nursing homes.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  20. Ternary Trends in Nursing Home Information Technology and Quality Measures in the United States.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Joshua R VestDepartment of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health at IUPUI, Indianapolis, IN. Electronic address: joshvest@iu.edu.
Hye-Young JungDivision of Health Policy and Economics, Weill Cornell Medical College, New York, NY.
Kevin WileyDepartment of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health at IUPUI, Indianapolis, IN.
Harold KooremanDepartment of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health at IUPUI, Indianapolis, IN.
Lorren PettitHealthcare Information and Management Systems Society (HIMSS), Chicago, IL.
Mark A UnruhDivision of Health Policy and Economics, Weill Cornell Medical College, New York, NY.

Funding

The Indiana Training Program in Public & Population Health InformaticsT15LM012502 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI Brian E. Dixon, William F Fadel · 2017 to 2026
$4.7M
NLM NIH HHS T15 LM012502
6 · The paper itself

Abstract

objectivesNursing facilities have lagged behind in the adoption of interoperable health information technology (ie technologies that allow the sharing and use of electronic patient information between different information systems). The objective of this study was to estimate the nationwide prevalence of electronic health record (EHR) adoption among nursing facilities and to identify the factors associated with adoption.

designCross-sectional survey. SETTING &

participantsWe surveyed members of the Society for Post-Acute & Long-Term Care Medicine (AMDA) about their organizations' health information technology usage and characteristics. MEASUREMENTS: Using questions adopted from existing instruments, the survey measured nursing home's EHR adoption, the ability to send, receive, search and integrate electronic information, as well as barriers to usage. Additionally, we linked survey responses to public use secondary data sources to construct measurements for 8 determinants known to be associated with organizational adoption: innovativeness, functional differentiation, role specialization, administrative intensity, professionalism, complexity, technical knowledge resources, and slack resources. A series of regression models estimated the association between potential determinants and technology adoption.

results84% of nursing facilities reported using an EHR. After controlling for all other factors, respondents who characterized their organization as more innovative had more than 6 times the odds (adjusted odds ratio = 6.39, 95% confidence interval = 2.69, 15.21) of adopting an EHR. Organization innovativeness was also associated with an increased odds of being able to send, integrate, and search for electronic information. The most commonly identified barrier to sharing clinical information among nursing facilities with an EHR was a reported absence of interoperability (57%). CONCLUSIONS/IMPLICATIONS: An organizational culture that fosters innovation and awareness campaigns by professional societies may facilitate further adoption and effective use of technology. This will be increasingly important as policy makers continue to emphasize the use of EHRs and interoperability to improve the quality of care in nursing facilities.

Indexed as

Electronic Health RecordsNursing HomesOrganizational InnovationCross-Sectional StudiesHumansInformation DisseminationSurveys and Questionnaireselectronic health recordshealth information technologyLong-term carenursing home

Identifiers

PMID30579920
PMCPMC6591108

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.