The Q10 questionnaire for detection of wearing-off phenomena in Parkinson's disease

Parkinsonism Relat Disord. 2012 May;18(4):382-5. doi: 10.1016/j.parkreldis.2011.12.011. Epub 2012 Jan 12.

Abstract

In Parkinson's disease (PD), wearing-off can be difficult to detect as it is very variable and may affect motor and non-motor symptoms. The Wearing-Off Questionnaire, WOQ-32 (Stacy et al., 2005), was introduced to help identify wearing-off and proved to be very efficient. Two short versions of the questionnaire (WOQ-19 or QUICK and WOQ-9) were later developed to decrease the respondent burden without loss of efficacy in terms of sensitivity. The objective of the present study was to check the ability of a new 10-item QUICK version, Q10, to identify patients with wearing-off. Q10 items were selected from the QUICK validation study data set through statistical analysis and it was then tested on a sample of 162 PD patients, 64.8% with wearing-off. Sensitivity, specificity, and accuracy were 96%, 63%, and 85% respectively with one positive response and 90%, 70%, and 83% respectively with two positive responses. The correlation with the gold standard (neurologist diagnosis of wearing-off) was substantial (kappa = 0.62-0.64). Comparison with the QUICK and WOQ-9 shows that the Q10 can be a new tool for detection of wearing-off with satisfactory properties and a good balance between brevity and performance.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Antiparkinson Agents / therapeutic use
  • Cross-Sectional Studies
  • Disability Evaluation*
  • Dopamine Agents / therapeutic use
  • Drug Resistance / physiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care
  • Parkinson Disease / diagnosis*
  • Parkinson Disease / drug therapy
  • Parkinson Disease / physiopathology*
  • Sensitivity and Specificity
  • Spain
  • Statistics, Nonparametric
  • Surveys and Questionnaires*

Substances

  • Antiparkinson Agents
  • Dopamine Agents