Evidence map›Paper›PMID 31984358›Full record

ArticleJAMIA open2019

Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state.

Robert S Rudin, Yunfeng Shi, Shira H Fischer, Paul Shekelle, Alejandro Amill-Rosario, Bethany Shaw, M Susan Ridgely, Cheryl L Damberg

Abstract read
In one paragraph

Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  2. Article
  3. Article
  4. 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.

Robert S RudinRAND Corporation, Boston, Massachusetts, USA.
Yunfeng ShiThe Pennsylvania State University, University Park, Pennsylvania, USA.
Shira H FischerRAND Corporation, Boston, Massachusetts, USA.
Paul ShekelleRAND Corporation, Santa Monica, California, USA.
Alejandro Amill-RosarioThe Pennsylvania State University, University Park, Pennsylvania, USA.
Bethany ShawThe Pennsylvania State University, University Park, Pennsylvania, USA.
M Susan RidgelyRAND Corporation, Santa Monica, California, USA.
Cheryl L DambergRAND Corporation, Santa Monica, California, USA.

Funding

AHRQ HHS U19 HS024067
6 · The paper itself

Abstract

objectiveAdoption of health information technology (HIT) is often assessed in surveys of organizations. The validity of data from such surveys for ambulatory clinics has not been evaluated. We compared level of agreement between 1 ambulatory statewide survey and 2 other data sources: a second survey and interviews with survey respondents. MATERIALS AND

methodsWe used 2016 data from 2 surveys of ambulatory providers in Minnesota-the Healthcare Information and Management Systems Society (HIMSS) survey and the Minnesota HIT Ambulatory Clinic Survey-and primary data collected through qualitative interviews with survey respondents. We conducted a concurrent triangulation mixed-methods assessment of the Minnesota HIT survey by assessing level of agreement between it and HIMSS, and a thematic analysis of interview data to assess the respondent's understanding of what was being asked and their approach to responding.

resultsWe find high agreement between the 2 surveys on questions related to common HIT functionalities-such as computerized provider order entry, medication-based decision support, and e-prescribing-which were widely adopted by respondents' organizations. Qualitative data suggest respondents found wording of items about these functionalities clear but encountered multiple challenges including interpreting items for less commonly adopted functionalities, estimating degree of HIT usage, and indicating relevant barriers. Respondents identified multiple errors in responses and likely reported greater within-group homogeneity than actually existed.

conclusionsSurvey items related to the presence or absence of widely adopted HIT functionalities may be more valid than items about less common functionalities, degree of usage, and barriers.

Indexed as

health information technologyHIMSS datavalidity

Identifiers

PMID31984358
PMCPMC6951962

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.