Evidence map›Paper›PMID 31599851›Full record

ArticlePain2020

Hospitalized patients quantify verbal pain intensity descriptors: methodological issues and values for 26 descriptors.

Judith M Schlaeger, Kevin C Cain, Erin K Myklebust, Keesha L Powell-Roach, Brenda W Dyal, Diana J Wilkie

Open access · greenAbstract read
In one paragraph

Article in Pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

6 authors at 4 institutions in 1 country.

Judith M SchlaegerDepartment of Women, Children and Family Health Science, College of Nursing, University of Illinois at Chicago, Chicago, IL, United States.
Kevin C CainDepartment of Biostatistics, University of Washington, Seattle, WA, United States.
Erin K MyklebustProvidence Cancer Center Oncology and Hematology Care Clinic, Portland, OR, United States.
Keesha L Powell-RoachDepartment of Community Dentistry and Behavioral Science, College of Dentistry, University of Florida, Gainesville, FL, United States.
Brenda W DyalDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL, United States.
Diana J WilkieDepartment of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL, United States.
University of Florida · USProvidence Portland Medical Center · USUniversity of Illinois Chicago · USUniversity of Washington · US

Funding

the Integrative and Multidisciplinary Pain and Aging Research Training (IMPART) ProgramT32AG049673 · NIA · UNIVERSITY OF FLORIDA · PI FILLINGIM, ROGER B · 2015 to 2024
$3.2M
NURSE COACHING PROTOCOL EFFECTS ON CANCER PAINR29CA062477 · NCI · UNIVERSITY OF WASHINGTON · PI WILKIE, DIANA J · 1994 to 1998
–
NCI NIH HHS R29 CA062477NIA NIH HHS T32 AG049673
6 · The paper itself

Abstract

Patients often tell others about their pain using their own verbal descriptors of pain intensity, but the meaning of this pain language is not universally evident, which could contribute to misinterpretation about pain severity. The study purpose was to discover the intensity values of verbal pain intensity descriptors. The 248 randomly selected inpatients used a visual analogue scale to assign a value to each of 26 pain intensity descriptors. Each participant completed 36 randomly ordered visual analogue scales, 10 of which were replications. Except for descriptors with medians close to 0 or 100 mm, there was large, across-person variability for the descriptors. For example, medians ± SD for some exemplar descriptors were no pain 0.7 ± 2.4; mild 16.2 ± 12.2; discomforting 31.3 ± 22.2; distressing 55.3 ± 24; horrible 87.8 ± 13.6; and excruciating 94.6 ± 9.3. Test-retest reliability indicated small within-person variability on scores assigned to each descriptor. Thirteen descriptors showed some statistically significant but rather small effects of presentation order. Findings contribute estimates for the magnitude of pain represented by each of the 26 descriptors. Clinicians, text data miners, and researchers should consider these values as they interpret the meaning of the descriptors that they hear in daily practice or research settings or that they find in electronic health records, email messages, or social media posts. Despite the wide variability in the magnitude of each descriptor, findings provide insights about the intensity of pain when individuals use verbal pain intensity descriptors in conversations, social media, or clinical encounters.

Indexed as

Pain MeasurementTerminology as TopicAdultCross-Sectional StudiesFemaleHospitalizationHumansMaleMiddle AgedPainReproducibility of Results

Identifiers

PMID31599851
PMCPMC8109226
OpenAlexW2979796068

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.