Evidence map›Paper›PMID 24894078›Full record

SynthesisSystematic reviews2014

The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis.

Teryl K Nuckols, Crystal Smith-Spangler, Sally C Morton, Steven M Asch, Vaspaan M Patel, Laura J Anderson, Emily L Deichsel, Paul G Shekelle

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 17 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

136 citing papers in PubMed, 17 syntheses or guidelines pooled it.

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76 more citing papers are in PubMed but not listed here.

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.

Teryl K NuckolsDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine at the University of California, 911 Broxton Ave, Los Angeles, CA 90024, USA. tnuckols@mednet.ucla.edu.
Crystal Smith-Spangler
Sally C Morton
Steven M Asch
Vaspaan M Patel
Laura J Anderson
Emily L Deichsel
Paul G Shekelle

Funding

The Value of Hospital-Related Patient-Safety Interventions to Key StakeholdersK08HS017954 · AHRQ · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NUCKOLS, TERYL · 2009 to 2012
$553k
AHRQ HHS HS17954AHRQ HHS K08 HS017954
6 · The paper itself

Abstract

backgroundThe Health Information Technology for Economic and Clinical Health (HITECH) Act subsidizes implementation by hospitals of electronic health records with computerized provider order entry (CPOE), which may reduce patient injuries caused by medication errors (preventable adverse drug events, pADEs). Effects on pADEs have not been rigorously quantified, and effects on medication errors have been variable. The objectives of this analysis were to assess the effectiveness of CPOE at reducing pADEs in hospital-related settings, and examine reasons for heterogeneous effects on medication errors.

methodsArticles were identified using MEDLINE, Cochrane Library, Econlit, web-based databases, and bibliographies of previous systematic reviews (September 2013). Eligible studies compared CPOE with paper-order entry in acute care hospitals, and examined diverse pADEs or medication errors. Studies on children or with limited event-detection methods were excluded. Two investigators extracted data on events and factors potentially associated with effectiveness. We used random effects models to pool data.

resultsSixteen studies addressing medication errors met pooling criteria; six also addressed pADEs. Thirteen studies used pre-post designs. Compared with paper-order entry, CPOE was associated with half as many pADEs (pooled risk ratio (RR) = 0.47, 95% CI 0.31 to 0.71) and medication errors (RR = 0.46, 95% CI 0.35 to 0.60). Regarding reasons for heterogeneous effects on medication errors, five intervention factors and two contextual factors were sufficiently reported to support subgroup analyses or meta-regression. Differences between commercial versus homegrown systems, presence and sophistication of clinical decision support, hospital-wide versus limited implementation, and US versus non-US studies were not significant, nor was timing of publication. Higher baseline rates of medication errors predicted greater reductions (P < 0.001). Other context and implementation variables were seldom reported.

conclusionsIn hospital-related settings, implementing CPOE is associated with a greater than 50% decline in pADEs, although the studies used weak designs. Decreases in medication errors are similar and robust to variations in important aspects of intervention design and context. This suggests that CPOE implementation, as subsidized under the HITECH Act, may benefit public health. More detailed reporting of the context and process of implementation could shed light on factors associated with greater effectiveness.

Indexed as

Medical Order Entry SystemsDrug-Related Side Effects and Adverse ReactionsHospitalsHumansMedication Errors

Identifiers

PMID24894078
PMCPMC4096499

What OpenQuestion holds

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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.