Evidence map›Paper›PMID 23396512›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2013

When does adoption of health information technology by physician practices lead to use by physicians within the practice?

Sean R McClellan, Lawrence P Casalino, Stephen M Shortell, Diane R Rittenhouse

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
10.8field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. The design and evaluation of a novel algorithm for automated preference card optimization.Journal of the American Medical Informatics Association : JAMIA · 2021
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  9. Digitalization and Physician Learning: Individual Practice, Organizational Context, and Social Norm.The Journal of continuing education in the health professions · 2020
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  10. Article
  11. Exploring Attributes of High-Value Primary Care.Annals of family medicine · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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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

4 authors at 4 institutions in 1 country.

Sean R McClellanHealth Services and Policy Analysis Program, University of California, Berkeley, California 94720, USA. smcclellan@berkeley.edu
Lawrence P Casalino
Stephen M Shortell
Diane R Rittenhouse
California Health and Human Services Agency · USCornell University · USUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MARSHALL H CHIN · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

objectiveWe sought to determine the extent to which adoption of health information technology (HIT) by physician practices may differ from the extent of use by individual physicians, and to examine factors associated with adoption and use. MATERIALS AND

methodsUsing cross-sectional survey data from the National Study of Small and Medium-Sized Physician Practices (July 2007-March 2009), we examined the extent to which organizational capabilities and external incentives were associated with the adoption of five key HIT functionalities by physician practices and with use of those functionalities by individual physicians.

resultsThe rate of physician practices adopting any of the five HIT functionalities was 34.1%. When practices adopted HIT functionalities, on average, about one in seven physicians did not use those functionalities. One physician in five did not use prompts and reminders following adoption by their practice. After controlling for other factors, both adoption of HIT by practices and use of HIT by individual physicians were higher in primary care practices and larger practices. Practices reporting an emphasis on patient-centered management were not more likely than others to adopt, but their physicians were more likely to use HIT. DISCUSSION: Larger practices were most likely to have adopted HIT, but other factors, including specialty mix and self-reported patient-centered management, had a stronger influence on the use of HIT once adopted.

conclusionsAdoption of HIT by practices does not mean that physicians will use the HIT.

Indexed as

HumansLinear ModelsMedical InformaticsMedical Records Systems, ComputerizedPractice Patterns, Physicians'United Stateselectronic health recordsmeaningful usePhysician practices

Identifiers

PMID23396512
PMCPMC3715336
OpenAlexW2165603319

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.