Evidence map›Paper›PMID 30889245›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Building consensus toward a national nursing home information technology maturity model.

Gregory L Alexander, Kimberly Powell, Chelsea B Deroche, Lori Popejoy, Abu Saleh Mohammad Mosa, Richelle Koopman, Lorren Pettit, Michelle Dougherty

Abstract readConsensus Statement
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. ChatGPT in precision medicine.APL bioengineering · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. An evaluation of telehealth expansion in U.S. nursing homes.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  9. Article
  10. Article
  11. 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

8 authors.

Gregory L AlexanderSinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Kimberly PowellSinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Chelsea B DerocheBiostatistics & Research Design Unit, School of Medicine, University of Missouri, Columbia, Missouri, USA.
Lori PopejoySinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
Abu Saleh Mohammad MosaSchool of Medicine, University of Missouri, Columbia, Missouri, USA.
Richelle KoopmanFamily and Community Medicine, University of Missouri, Columbia, Missouri, USA.
Lorren PettitHealthcare Information and Management Systems Society, Chicago, Illinois, USA.
Michelle DoughertyResearch Triangle Institute, Research Triangle Park, North Carolina, 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

objectivesWe describe the development of a nursing home information technology (IT) maturity model designed to capture stages of IT maturity. MATERIALS AND

methodsThis study had 2 phases. The purpose of phase I was to develop a preliminary nursing home IT maturity model. Phase II involved 3 rounds of questionnaires administered to a Delphi panel of expert nursing home administrators to evaluate the validity of the nursing home IT maturity model proposed in phase I.

resultsAll participants (n = 31) completed Delphi rounds 1-3. Over the 3 Delphi rounds, the nursing home IT maturity staging model evolved from a preliminary, 5-stage model (stages 1-5) to a 7-stage model (stages 0-6). DISCUSSION: Using innovative IT to improve patient outcomes has become a broad goal across healthcare settings, including nursing homes. Understanding the relationship between IT sophistication and quality performance in nursing homes relies on recognizing the spectrum of nursing home IT maturity that exists and how IT matures over time. Currently, no universally accepted nursing home IT maturity model exists to trend IT adoption and determine the impact of increasing IT maturity on quality.

conclusionsA 7-stage nursing home IT maturity staging model was successfully developed with input from a nationally representative sample of U.S. based nursing home experts. The model incorporates 7-stages of IT maturity ranging from stage 0 (nonexistent IT solutions or electronic medical record) to stage 6 (use of data by resident or resident representative to generate clinical data and drive self-management).

Indexed as

Information TechnologyMedical InformaticsNursing HomesDelphi TechniqueHumansSurveys and QuestionnairesUnited Stateshealthcare surveysinformaticsinformation technologynursing homestechnology assessment

Identifiers

PMID30889245
PMCPMC7647342

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.