Is the Pain Visual Analogue Scale Linear and Responsive to Change? An Exploration Using Rasch Analysis
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OBJECTIVES: Pain visual analogue scales (VAS) are commonly used in clinical trials and are often treated as an interval level scale without evidence that this is appropriate. This paper examines the internal construct validity and responsiveness of the pain VAS using Rasch analysis. METHODS: Patients (n = 221, mean age 67, 58% female) with chronic stable joint pain (hip 40% or knee 60%) of mechanical origin waiting for joint replacement were included. Pain was scored on seven daily VASs. Rasch analysis was used to examine fit to the Rasch model. Responsiveness (Standardized Response Means, SRM) was examined on the raw ordinal data and the interval data generated from the Rasch analysis. RESULTS: Baseline pain VAS scores fitted the Rasch model, although 15 aberrant cases impacted on unidimensionality. There was some local dependency between items but this did not significantly affect the person estimates of pain. Daily pain (item difficulty) was stable, suggesting that single measures can be used. Overall, the SRMs derived from ordinal data overestimated the true responsiveness by 59%. Changes over time at the lower and higher end of the scale were represented by large jumps in interval equivalent data points; in the middle of the scale the reverse was seen. CONCLUSIONS: The pain VAS is a valid tool for measuring pain at one point in time. However, the pain VAS does not behave linearly and SRMs vary along the trait of pain. Consequently, Minimum Clinically Important Differences using raw data, or change scores in general, are invalid as these will either under- or overestimate true change; raw pain VAS data should not be used as a primary outcome measure or to inform parametric-based Randomised Controlled Trial power calculations in research studies; and Rasch analysis should be used to convert ordinal data to interval data prior to data interpretation.
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Originally, the planned repeated measures MANOVA was changed to nonparametric statistics because the measures used were ordinal (11-point numerical rating scales).
“Originally, we planned to explore between and within changes in all study outcomes using a repeated measures MANOVA. However, during the review process it was noted that nonparametric statistics should be used due to the ordinal nature of the measures used (11-point numerical rating scales) [60].”
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References 45 · Cited by 225
Research works printed but not linked: 5
- [26]Rasch G (1960/1980) Probabilistic models for some intelligence and attainment tests (revised and expanded ed.). Chicago: The University of Chicago Press.
- [37]Tennant A, Pallant JF (2006) Unidimensionality matters! (a tale of two Smiths?). Rasch Meas Transactions 20: 1048– 1051.
- [38]Grimby G (1998) Useful reporting of DIF. Rasch Meas Transactions 12: 651.
- [40]Linacre JM (1994) Sample size and item calibration [or Person Measure] stability. Rasch Meas Transactions 7: 328.
- [41]Wright BD, Tennant A (1996) Sample size again. Rasch Meas Transactions 9: 468.
- Authors
- Kersten, P., White, P. J., & Tennant, A.
- Affiliations
- Auckland University of Technology (NZ)
- University of Southampton (GB)
- University of Leeds (GB)
- Corresponding author
- Kersten, Paula
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-06-12
- Volume
- 9
- Issue
- 6
- Pages
- e99485
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4055724
- OpenAlex
- W2062761028
- Cited by
- 225
- References
- 45
- Citations by year
- 2026: 9 · 2025: 18 · 2024: 19 · 2023: 14 · 2022: 27 · 2021: 23 · 2020: 27 · 2019: 23 · 2018: 17 · 2017: 17 · 2016: 18 · 2015: 10 · 2014: 2
- FWCI
- 19.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Brighton Repository (University of Brighton) (publishedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
- Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
- Keywords
- construct validity, responsiveness, Rasch model, standardized response mean, minimal clinically important difference, chronic joint pain, measurement invariance, local dependence, unidimensionality
- MeSH terms
- Aged, Female, Follow-Up Studies, Humans, Male, Models, Theoretical, Pain Measurement, Surveys and Questionnaires, Visual Analog Scale
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