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Is the pain visual analogue scale linear and responsive to change? An exploration using Rasch analysis
Paula Kersten1, Peter J White2, Alan Tennant3
1Person Centred Research Centre, School of Rehabilitation and Occupation Studies, Auckland University of Technology, Auckland, New Zealand.
Plos One
|June 13, 2014
Summary
The pain visual analogue scale (VAS) is valid for single pain measurements but not for tracking changes over time. Rasch analysis is recommended to convert VAS data to interval data for accurate research.
Area of Science:
- Pain research
- Psychometrics
- Clinical trial methodology
Background:
- Pain visual analogue scales (VAS) are frequently used in clinical trials.
- Their use as interval-level data lacks sufficient evidence.
- This study investigates the validity and responsiveness of pain VAS.
Purpose of the Study:
- To examine the internal construct validity of pain VAS.
- To assess the responsiveness of pain VAS using Rasch analysis.
- To determine if pain VAS data can be treated as interval-level data.
Main Methods:
- Rasch analysis was applied to pain VAS data from 221 patients with chronic joint pain.
- Internal construct validity and fit to the Rasch model were assessed.
- Responsiveness was evaluated using Standardized Response Means (SRM) on both raw and interval data.
Main Results:
- Baseline pain VAS scores generally fit the Rasch model.
- SRMs from ordinal data overestimated true responsiveness by 59%.
- Non-linear behavior was observed, with varying responsiveness across the scale.
Conclusions:
- Pain VAS is valid for single-time point pain assessment.
- Raw pain VAS data should not be used for change-score analysis or power calculations in RCTs.
- Rasch analysis is crucial for converting ordinal VAS data to interval data for accurate interpretation.
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