Evidence map›Paper›PMID 23222528›Full record

ArticleMedical care2013

Agreement between electronic medical record-based and self-administered pain numeric rating scale: clinical and research implications.

Joseph L Goulet, Cynthia Brandt, Stephen Crystal, David A Fiellin, Cynthia Gibert, Adam J Gordon, Robert D Kerns, Stephen Maisto, Amy C Justice

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Medical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

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  17. Obstructive Sleep Apnea and Pain Intensity in Young Adults.Annals of the American Thoracic Society · 2020
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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

9 authors at 5 institutions in 1 country.

Joseph L GouletVA Connecticut Healthcare System, West Haven Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06516, USA. joseph.goulet@va.gov
Cynthia Brandt
Stephen Crystal
David A Fiellin
Cynthia Gibert
Adam J Gordon
Robert D Kerns
Stephen Maisto
Amy C Justice
VA Connecticut Healthcare System · USYale University · USGeorge Washington University · USRutgers, The State University of New Jersey · USUniversity of Pittsburgh · US

Funding

Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol Associated Outcomes Among HIV+/-Aging VeteransU01AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2002 to 2005
$10.1M
Center for Education and Research on Mental Health Ther*U18HS016097 · AHRQ · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2006 to 2010
$3.7M
AHRQ HHS AHRQ U18-HS016097AHRQ HHS U18 HS016097NIAAA NIH HHS U01 AA013566NIAAA NIH HHS U01 AA 13566NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U10 AA 13566
6 · The paper itself

Abstract

backgroundPain screening may improve the quality of care by identifying patients in need of further assessment and management. Many health care systems use the numeric rating scale (NRS) for pain screening, and record the score in the patients' electronic medical record (EMR).

objectiveDetermine the level of agreement between EMR and patient survey NRS, and whether discrepancies vary by demographic and clinical characteristics.

methodsWe linked survey data from a sample of veterans receiving care in 8 Veterans Affairs medical facilities, to EMR data including an NRS collected on the day of the survey to compare responses to the NRS question from these 2 sources. We assessed correlation, agreement on clinical cut-points (eg, severe), and, using the survey as the gold standard, whether patient characteristics were associated with a discrepancy on moderate-severe pain.

resultsA total of 1643 participants had a survey and EMR NRS score on the same day. The correlation was 0.56 (95% confidence interval, 0.52-0.59), but the mean EMR score was significantly lower than the survey score (1.72 vs. 2.79; P<0.0001). Agreement was moderate (κ=0.35). Characteristics associated with an increased odds of a discrepancy included: diabetes [adjusted odds ratio (AOR)=1.48], posttraumatic stress disorder (AOR=1.59), major depressive disorder (AOR=1.81), other race versus white (AOR=2.29), and facility in which care was received.

conclusionsThe underestimation of pain using EMR data, especially clinically actionable levels of pain, has important clinical and research implications. Improving the quality of pain care may require better screening.

Indexed as

Electronic Health RecordsHealth SurveysMass ScreeningPain MeasurementSelf ReportFemaleHIV InfectionsHumansLogistic ModelsMaleMatched-Pair AnalysisMiddle AgedMultivariate AnalysisReproducibility of ResultsUnited StatesVeterans

Identifiers

PMID23222528
PMCPMC3572341
OpenAlexW2031414838

What OpenQuestion holds

Textmetadata
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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.