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Validation of the Ocular Pain Assessment Survey Instrument With Rasch Analysis.

Debbie Marie Ng1, Xiu Wang1,2, Chang Liu3

  • 1Ocular Surface Research Group, Singapore Eye Research Institute, Singapore, Singapore.

Translational Vision Science & Technology
|February 18, 2025
PubMed
Summary
This summary is machine-generated.

The Ocular Pain Assessment Survey (OPAS) was validated using Rasch analysis in Asian patients with dry eye disease and neuropathic corneal pain. Some OPAS dimensions require shortening to enhance its clinical utility and trial performance.

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Area of Science:

  • Ophthalmology
  • Psychometrics
  • Pain Management

Background:

  • The Ocular Pain Assessment Survey (OPAS) is used to measure chronic ocular pain and quality of life (QOL).
  • Psychometric validation is crucial for accurate assessment in clinical settings.

Purpose of the Study:

  • To investigate the psychometric properties of individual OPAS items using Rasch analysis.
  • To evaluate the OPAS in an Asian population with dry eye disease (DED) and neuropathic corneal pain (NCP).

Main Methods:

  • Rasch analysis was applied to responses from 196 patients (138 DED, 58 NCP).
  • Key metrics included item hierarchy, fit statistics, separation, reliability, and Yen's Q3 values.

Main Results:

  • Dimensions measuring 24-hour eye pain and QOL demonstrated good discriminative ability.
  • Dimensions for 2-week pain, non-eye pain, and aggravating/associated factors showed suboptimal separation.
  • Significant correlations were observed within aggravating factors and between QOL and associated factors items.

Conclusions:

  • Two OPAS dimensions were validated via Rasch analysis.
  • Shortening specific dimensions is recommended to improve tool performance in Asian populations.
  • Findings offer insights for refining OPAS for clinical trials and real-world use.