Evidence map›Paper›PMID 33856295›Full record

ArticleThe western journal of emergency medicine2021

The Utility of Pain Scale to Assess Verifiable vs Non-Verifiable Pain in United States Emergency Departments.

K Tom Xu, James E Morris, Christopher Piel

Abstract read
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Article in The western journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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.

K Tom XuTexas Tech University Health Sciences Center, Department of Surgery, Division of Emergency Medicine, School of Medicine, Lubbock, Texas.
James E MorrisTexas Tech University Health Sciences Center, Department of Surgery, Division of Emergency Medicine, School of Medicine, Lubbock, Texas.
Christopher PielTexas Tech University Health Sciences Center, Department of Surgery, Division of Emergency Medicine, School of Medicine, Lubbock, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe sought to examine the utility of self-reported pain scale by comparing emergency department (ED) triage pain scores of self-reported but non-verifiable painful conditions with those of verifiable painful conditions using a large, nationally representative sample.

methodsWe analyzed the National Hospital Ambulatory Medical Care Survey (NHAMCS) 2015. Verifiable painful conditions were identified based on the final diagnoses in the five included International Classification of Diseases 9th revision codes. Non-verifiable painful conditions were identified by the five main reasons for visit. Only adults 18 years of age or older were included. The primary outcome variable was the pain scale from 0 to 10 at triage. We performed descriptive and multivariate analyses to investigate the relationships between the pain scale and whether the painful condition was verifiable, controlling for patient characteristics.

resultsThere were 55 million pain-related adult ED visits in 2015. The average pain scale was 6.49. For verifiable painful diagnoses, which were about 24% of the total visits, the average was 6.27, statistically significantly lower than that for non-verifiable painful conditions, 6.56. Even after controlling for the confounding of patient characteristics and comorbidities, verifiable painful diagnoses still presented less pain than those with non-verifiable painful complaints. Older age, female gender, and urban residents had significantly higher pain scores than their respective counterparts, controlling for other confounding factors. Psychiatric disorders were independently associated with higher pain scores by about a half point.

conclusionSelf-reported pain scales obtained at ED triage likely have a larger psychological component than a physiological one. Close attention to clinical appropriateness and overall patient comfort are more likely to lead to better health outcomes and patient experiences than focusing on self-reported pain alone.

Indexed as

AdolescentAdultAgedAged, 80 and overEmergency Service, HospitalFemaleHealth Care SurveysHumansInternational Classification of DiseasesMaleMiddle AgedPainPain MeasurementSelf ReportTriageUnited States

Identifiers

PMID33856295
PMCPMC7972390

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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.