Evidence map›Paper›PMID 22174327›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

The impact of an electronic health record on nurse sensitive patient outcomes: an interrupted time series analysis.

Dawn W Dowding, Marianne Turley, Terhilda Garrido

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
9.2field-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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effects of health information technology on patient outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016
    Pooled it
  4. Staggered interventions with no control groups.International journal of epidemiology · 2024
    Article
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  6. Review
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  12. Implementation of Electronic Health Records in US Nursing Homes.Computers, informatics, nursing : CIN · 2017
    Article
  13. Article
  14. Article
  15. Electronic health records-driven phenotyping: challenges, recent advances, and perspectives.Journal of the American Medical Informatics Association : JAMIA · 2013
    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

3 authors at 2 institutions in 2 countries.

Dawn W DowdingSchool of Healthcare, University of Leeds, Leeds, UK. d.dowding@leeds.ac.uk
Marianne Turley
Terhilda Garrido
Kaiser Permanente · USUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the impact of electronic health record (EHR) implementation on nursing care processes and outcomes.

designInterrupted time series analysis, 2003-2009.

settingA large US not-for-profit integrated health care organization.

participants29 hospitals in Northern and Southern California.

interventionAn integrated EHR including computerized physician order entry, nursing documentation, risk assessment tools, and documentation tools.

main outcome measuresPercentage of patients with completed risk assessments for hospital acquired pressure ulcers (HAPUs) and falls (process measures) and rates of HAPU and falls (outcome measures).

resultsEHR implementation was significantly associated with an increase in documentation rates for HAPU risk (coefficient 2.21, 95% CI 0.67 to 3.75); the increase for fall risk was not statistically significant (0.36; -3.58 to 4.30). EHR implementation was associated with a 13% decrease in HAPU rates (coefficient -0.76, 95% CI -1.37 to -0.16) but no decrease in fall rates (-0.091; -0.29 to 0.11). Irrespective of EHR implementation, HAPU rates decreased significantly over time (-0.16; -0.20 to -0.13), while fall rates did not (0.0052; -0.01 to 0.02). Hospital region was a significant predictor of variation for both HAPU (0.72; 0.30 to 1.14) and fall rates (0.57; 0.41 to 0.72).

conclusionsThe introduction of an integrated EHR was associated with a reduction in the number of HAPUs but not in patient fall rates. Other factors, such as changes over time and hospital region, were also associated with variation in outcomes. The findings suggest that EHR impact on nursing care processes and outcomes is dependent on a number of factors that should be further explored.

Indexed as

Electronic Health RecordsHospital Information SystemsNursing CareOutcome and Process Assessment, Health CareSystems IntegrationAccidental FallsAgedCaliforniaFemaleHumansMaleMiddle AgedMulti-Institutional SystemsMultivariate AnalysisPressure UlcerRegression Analysis

Identifiers

PMID22174327
PMCPMC3384108
OpenAlexW2155392127

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.