Cited by 225Psychometric Methodologies and TestingPain Management and Opioid UseMusculoskeletal pain and rehabilitation

Is the Pain Visual Analogue Scale Linear and Responsive to Change? An Exploration Using Rasch Analysis

Open access
Kersten, Paula, White, Peter J., Tennant, Alan·2014·PLoS ONE

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0099485

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 45 · Cited by 225

Research works printed but not linked: 5

  1. [26]Rasch G (1960/1980) Probabilistic models for some intelligence and attainment tests (revised and expanded ed.). Chicago: The University of Chicago Press.
  2. [37]Tennant A, Pallant JF (2006) Unidimensionality matters! (a tale of two Smiths?). Rasch Meas Transactions 20: 1048– 1051.
  3. [38]Grimby G (1998) Useful reporting of DIF. Rasch Meas Transactions 12: 651.
  4. [40]Linacre JM (1994) Sample size and item calibration [or Person Measure] stability. Rasch Meas Transactions 7: 328.
  5. [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
Published
2014-06-12
Volume
9
Issue
6
Pages
e99485
ISSN
1932-6203 (ISSN-L)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review