Evidence map›Paper›PMID 27107444›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

A national report of nursing home information technology: year 1 results.

Gregory L Alexander, Richard W Madsen, Erin L Miller, Melissa K Schaumberg, Allison E Holm, Rachel L Alexander, Keely K Wise, Michelle L Dougherty, Brian Gugerty

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. The Association Between Nursing Home Information Technology Maturity and Urinary Tract Infection Among Long-Term Residents.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Health Data Sharing in US Nursing Homes: A Mixed Methods Study.Journal of the American Medical Directors Association · 2021
    Article
  7. 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
  8. Article
  9. Article
  10. Advancing health information technology roadmaps in long term care.International journal of medical informatics · 2020
    Review
  11. Adoption of Health Information Technology Among US Nursing Facilities.Journal of the American Medical Directors Association · 2019
    Article
  12. Building consensus toward a national nursing home information technology maturity model.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  13. Article
  14. Nursing Information Flow in Long-Term Care Facilities.Applied clinical informatics · 2018
    Article
  15. Article
  16. Review
  17. 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

9 authors.

Gregory L AlexanderUniversity of Missouri, S415 Sinclair School of Nursing, Columbia, MO 65211, USA alexanderg@missouri.edu.
Richard W MadsenMedical Research Office, University of Missouri, Columbia, MO, USA.
Erin L MillerDepartment of Anthropology, University of Missouri, Columbia, MO, USA.
Melissa K SchaumbergSchool of Social Work, University of Missouri, Columbia, MO, USA.
Allison E HolmDepartment of Health Management and Informatics, University of Missouri, Columbia, MO, USA.
Rachel L AlexanderLyon College, Batesville, AR, USA.
Keely K WiseSinclair School of Nursing, University of Missouri, Columbia, MO, USA.
Michelle L DoughertyCenter for the Advancement of Health IT, RTI International, Mahtomedi, MN, USA.
Brian GugertyClinical Informatics Division, GiC Informatics, LLC, Annapolis, MD, USA.

Funding

A National Report of Nursing Home Quality Measures and Information TechnologyR01HS022497 · AHRQ · UNIVERSITY OF MISSOURI-COLUMBIA · PI ALEXANDER, GREGORY L. · 2013 to 2021
$2.7M
AHRQ HHS R01 HS022497
6 · The paper itself

Abstract

objectiveTo provide a report on year 1 results of a national study investigating nursing home information technology (IT) adoption, called IT sophistication.

methodsA reliable and valid survey was used to measure IT sophistication. The target goal was 10% from each state in the United States, 1570 nursing homes. A random sample of homes from each state was recruited from Nursing Home Compare.

resultsThe team reached 2627 nursing home administrators, among whom 1799 administrators agreed to participate and were sent a survey. A total of 815 surveys were completed (45.3% response rate), which was below the goal. Facilities in the participating sample have similar demographic characteristics (ownership, total population in a location, and bed size) to the remaining homes not participating. There are greater IT capabilities in resident care and administrative activities, less in clinical support. The extent of use of these capabilities appears to be highest in administrative activities and lowest in clinical support. IT in resident care appears to be the most integrated with internal and external stakeholders. IT capabilities appear to be greater than IT extent of use in all health domains, with the greatest difference in resident care. DISCUSSION: National evaluations of nursing home IT are rare. Measuring trends in IT adoption in a nationally representative sample provides meaningful analytics that could be more useful for policy makers and nursing home leaders in the future.

conclusionDiscovering national baseline assessments is a first step toward recognizing nursing home trends in IT adoption.

Indexed as

Health Care SurveysInformation SystemsInformation TechnologyNursing HomesUnited Stateshealth information technologynursing homessurveys

Identifiers

PMID27107444
PMCPMC7654080

What OpenQuestion holds

Textmetadata
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.