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Quantifying Pain Location and Intensity with Multimodal Pain Body Diagrams
09:00

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Published on: July 7, 2023

What do the numbers mean? Normative data in chronic pain measures.

Michael K Nicholas1, Ali Asghari, Fiona M Blyth

  • 1Pain Management Research Institute, University of Sydney at Royal North Shore Hospital, Sydney, Australia. miken@med.usyd.edu.au

Pain
|May 29, 2007
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Summary

This study developed normative data for common pain assessment tools using a large sample. This provides crucial benchmarks for interpreting patient pain, disability, and mood scores in clinical practice and research.

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Area of Science:

  • Pain Management
  • Clinical Psychology
  • Rehabilitation Medicine

Background:

  • Self-reported measures are vital for pain assessment and treatment.
  • Interpretation of these measures is limited by a lack of normative data.
  • Few pain assessment tools currently have established normative data.

Purpose of the Study:

  • To develop a normative dataset for commonly used pain-related measures.
  • To provide reference data for key dimensions of pain assessment.
  • To facilitate better interpretation of individual patient data and clinical trial results.

Main Methods:

  • Utilized a large pain center sample (n=6124).
  • Collected data on pain severity, quality, disability, mood, cognitive, and coping constructs.
  • Analyzed data to generate mean scores by age, gender, and pain site, and percentiles for chronic low back pain.

Main Results:

  • Developed a comprehensive normative dataset for pain assessment measures.
  • Reported mean scores stratified by demographic and clinical factors.
  • Provided percentile data for chronic low back pain patients.

Conclusions:

  • The developed normative dataset enhances the interpretation of individual pain assessments.
  • This resource aids in evaluating treatment outcomes and interpreting clinical trials.
  • Future systematic reviews should incorporate pain levels, disability, and mood alongside traditional factors.