The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The use of multiple-item scales for pain intensity measurement in chronic pain patients
Abstract
This study examined the relative predictive validities of several measures of pain intensity. Forty chronic pain patients completed 6-14 days worth of hourly pain ratings, which were averaged to obtain a measure of actual average pain intensity. These patients then made ratings, on 101-point numerical rating scales, of worst, least, and usual pain during the previous 2 wks, and of their current pain. A series of correlation coefficients were computed and regression analyses were performed to determine the individual or composite measures that best predicted actual average pain intensity. Consistent with previous research, the best single predictor of actual average pain intensity was patient rating of least pain in the previous 2 wks. Of all possible composites of usual, least, worst, and current pain ratings, the arithmetic mean of least and usual pain had the strongest relationship to actual average pain. The inclusion of ratings of most pain or current pain in any composite score actually weakened the relationship between the composite score and actual average pain intensity. These results suggest that, when clinicians or researchers wish to assess average pain among chronic pain patients, but cannot obtain multiple measures of pain over time, the most valid measure would be the arithmetic mean of patient-recalled least and usual pain.
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“This procedure for measuring pain intensity has been widely used in the pain literature [50].”
From Does Pain Acceptance Contribute to Improved Functionality through Walking in Women with Fibromyalgia? Looking at Depressive Comorbidity (2023) · cites this paper as [50]
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Cites
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Metadata
- Authors
- Jensen, M. P., Turner, L. R., Turner, J. A., & Romano, J. M.
- Affiliations
- University of Washington (US)
- Corresponding author
- Jensen, Mark P
- Venue
- Pain
- Published
- 1996-09
- Volume
- 67
- Issue
- 1
- Pages
- 35-40
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2071290055
- Cited by
- 227
- References
- 14
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 6 · 2023: 7 · 2022: 9 · 2021: 11 · 2020: 8 · 2019: 6 · 2018: 3 · 2017: 8 · 2016: 9 · 2015: 13 · 2014: 8 · 2013: 9 · 2012: 12
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
- Health Sciences › Medicine › Physiology (medical) › Pain Mechanisms and Treatments
- Keywords
- chronic pain, pain intensity assessment, numerical rating scale, predictive validity, patient recall, composite score
- MeSH terms
- Adult, Chronic Disease, Humans, Memory, Middle Aged, Pain, Pain Measurement, Predictive Value of Tests, Psychometrics, Regression Analysis
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