Literature DB >> 31599851

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

Judith M Schlaeger1, Kevin C Cain2, Erin K Myklebust3, Keesha L Powell-Roach4, Brenda W Dyal5, Diana J Wilkie5.   

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.

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Year:  2020        PMID: 31599851      PMCID: PMC8109226          DOI: 10.1097/j.pain.0000000000001716

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  16 in total

1.  Asking the community about cutpoints used to describe mild, moderate, and severe pain.

Authors:  Guadalupe R Palos; Tito R Mendoza; Gary M Mobley; Scott B Cantor; Charles S Cleeland
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2.  Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine.

Authors:  Carol Friedman; Thomas C Rindflesch; Milton Corn
Journal:  J Biomed Inform       Date:  2013-06-25       Impact factor: 6.317

3.  Use of a computerized digitizer tablet to score and enter visual analogue scale data.

Authors:  H Y Huang; D J Wilkie; D L Berry
Journal:  Nurs Res       Date:  1996 Nov-Dec       Impact factor: 2.381

4.  Mild, moderate, or severe pain categorized by patients with cancer with bone metastases.

Authors:  Edward Chow; Meagan Doyle; Kathy Li; Nicole Bradley; Kristin Harris; George Hruby; Emily Sinclair; Elizabeth A Barnes; Cyril Danjoux
Journal:  J Palliat Med       Date:  2006-08       Impact factor: 2.947

5.  A comparison of three ways of measuring pain.

Authors:  A J Frank; J M Moll; J F Hort
Journal:  Rheumatol Rehabil       Date:  1982-11

6.  Ratio scales of sensory and affective verbal pain descriptors.

Authors:  R H Gracely; F McGrath; R Dubner
Journal:  Pain       Date:  1978-06       Impact factor: 6.961

7.  The quantification of pain: an analysis of words used to describe pain and analgesia in clinical trials.

Authors:  K Sriwatanakul; W Kelvie; L Lasagna
Journal:  Clin Pharmacol Ther       Date:  1982-08       Impact factor: 6.875

8.  Effects of coaching patients with lung cancer to report cancer pain.

Authors:  Diana Wilkie; Donna Berry; Kevin Cain; Hsiu-Ying Huang; Julia Mekwa; Frances Lewis; Betty Gallucci; Yu-Chuan Lin; Angela Chia-Chen Chen; Nai-Ying Ko
Journal:  West J Nurs Res       Date:  2010-02       Impact factor: 1.967

9.  Cancer pain intensity measurement: concurrent validity of three tools--finger dynamometer, pain intensity number scale, visual analogue scale.

Authors:  D Wilkie; N Lovejoy; M Dodd; M Tesler
Journal:  Hosp J       Date:  1990

10.  Characterizing the pain score trajectories of hospitalized adult medical and surgical patients: a retrospective cohort study.

Authors:  Thomas Kannampallil; William L Galanter; Suzanne Falck; Michael J Gaunt; Robert D Gibbons; Robert McNutt; Richard Odwazny; Gordon Schiff; Allen J Vaida; Diana J Wilkie; Bruce L Lambert
Journal:  Pain       Date:  2016-12       Impact factor: 7.926

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  1 in total

1.  Sensory Versus Affective Pain Descriptors Predicting Functional Versus Psychosocial Disability.

Authors:  Ephrem Fernandez; Wenbo Wu; Eric C Shattuck; Krishna Kolaparthi
Journal:  J Pain       Date:  2022-04-21       Impact factor: 5.383

  1 in total

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