[Pain-related disability in adolescents suffering from chronic pain. Preliminary examination of the Pediatric Pain Disability Index (P-PDI)]

Schmerz. 2009 Feb;23(1):20-32. doi: 10.1007/s00482-008-0730-0.
[Article in German]

Abstract

Background: Pain-related disability affects many children and adolescents suffering from chronic pain and may exert an impact on all areas of their lives. Reduction of pain-related disability is, therefore, a fundamental aim of treatment; however, no validated means exist to assess pain-related disability in children and adolescents. The aim of this study was to translate the Pediatric Pain Disability Index (P-PDI) of Varni into German and to investigate its psychometric qualities.

Methods: Principal component and item analyses were conducted on outpatient (n=163) and inpatient samples (n=167) of adolescents suffering from chronic pain. Changes in pain-related disability 3 months after starting treatment were analysed in an outpatient sample of 110 adolescents. Correlations between pain-related disability, emotional variables and school absence as well as concordance with parents' ratings were investigated.

Results: The P-PDI is a one-dimensional assessment tool with sufficient reliability. There were significant correlations between pain-related disability and pain intensity and school absence but not with pain duration, fear and depression. Parents and adolescents ratings correlated significantly, but 57% of parents underestimated the pain-related disability of their children.

Conclusion: There is now a validated German version of the P-PDI to measure pain-related disability in adolescents suffering from chronic pain, which can be used in studies investigating treatment effectiveness.

Publication types

  • English Abstract

MeSH terms

  • Adolescent
  • Child
  • Chronic Disease
  • Combined Modality Therapy
  • Cross-Sectional Studies
  • Disability Evaluation*
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Pain / classification
  • Pain / diagnosis*
  • Pain Management
  • Pain Measurement / statistics & numerical data
  • Principal Component Analysis
  • Recurrence