Detailled Information

Name of the Instrument/Tool painDETECT questionnaire (PD-Q)
First Description

Freynhagen R, Baron R, Gockel U, Tölle TR. painDETECT: a new screening questionnaire to identify neuropathic components in patients with back pain. Curr Med Res Opin. 2006;22(10):1911-1920.

Year 2006
Domains
Concept of constructs Pain
Population/Disease Generic
Originally developed for Low Back Pain (LBP)
Other rheumatic diseases
where can be applied (only if validated)
Axial Spondyloarthritis, Fibromyalgia (FM), Inflammatory arthritis (IA), Osteoarthritis (OA), Psoriatic Arthritis (PsA), Rheumatoid Arthritis (RA)
Additional population with no rheumatic diseases No
Language: Originally published in German
Available in Language Arabic, Danish, Dutch, English, Spanish, Turkish, Japanese
REFERENCE IDENTIFICATION
Author/s Freynhagen R, Baron R, Gockel U, Tölle TR.
Title painDETECT: a new screening questionnaire to identify neuropathic components in patients with back pain. 
Journal Curr Med Res Opin.
Year 2006
Vol 22
Num 10
Pages 1911-1920
Country Germany
Language German
Other references of interest
Link Freynhagen, R., Tölle, T. R., Gockel, U., & Baron, R. (2016) …
Brief Description

This study aimed to provide a comprehensive overview about the development and validation as well as the application of the PD-Q in various clinical conditions.

Link https://www.tandfonline.com/doi/abs/10.3109/09638288.2016.11 …
Brief Description

This study assesses the reliability and responsiveness of measures of pain in people with osteoarthritis of the knee.

Link https://pubmed.ncbi.nlm.nih.gov/28532452/
Brief Description

This study evaluates the psychometric properties of the PDQ in patients with inflammatory arthritis by applying Rasch analysis and explores the reliability of pain classification by test-retest

Instrument/Tool Translations References
Link https://pubmed.ncbi.nlm.nih.gov/29221427/
Brief Description

Dutch validation of the painDETECT questionnaire.

Link https://pubmed.ncbi.nlm.nih.gov/21926908/
Brief Description

Spanish validation of the painDETECT questionnaire.

Link https://pubmed.ncbi.nlm.nih.gov/29684014/
Brief Description

Arabic validation of the painDETECT questionnaire.

DEVELOPER CONTACT INFORMATION
Correspondence to Rainer Freynhagen
E-Mail r.baron@neurologie.uni-kiel.de
Address Dr R. Freynhagen, MD, DEAA Klinik für Anästhesiologie, Universitätsklinikum Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany.
Website ---
Available ---
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DESCRIPTION OF THE INSTRUMENT
Type Of Measure Questionnaire
Brief Description

The painDETECT questionnaire (PD-Q) is a a simple and reliable screening questionnaire of neuropathic pain. It classifies people into groups based on a summative score from nine-items: a neuropathic component is unlikely (<12), result is ambiguous (13–18) and neuropathic component is likely (>19). Most items use a 6-point scale where higher scores are suggestive of greater intensity (where 0=never and 5=very strongly).

Number of Items 9
Range Maximum possible score = 38, minimum = –1; only integral values are possible.
Responses options/scale Yes
6
Developed for ---
PRACTICAL APPLICATION
Method of administration Online, Self-administered
Recommendations to score

The questionnaire consists of seven questions that address the quality of neuropathic pain symptoms; it is completed by the patient and no physical examination is required. The first five questions ask about the gradation of pain, scored from 0 to 5 (never = 0, hardly noticed = 1, slightly = 2; moderately = 3, strongly = 4, very strongly = 5). Question 6 asks about the pain course pattern, scored from –1 to 2, depending on which pain course pattern diagram is selected. Question 7 asks about radiating pain, answered as yes or no, and scored as 2 or 0 respectively. The PD-Q score is calculated by addition of the entries in the right-hand column of the questionnaire.

Score Interpretation score -1 to 38
Cut-off points For screening purposes the following cut-off points have been found to be the most appropriate: score ≤ 12, a neuropathic component is unlikely (< 15%); score ≥ 19, a neuropathic component is likely (> 90%).
Cut-off points applied to Not specified
Smallest detectable change if described ---
Smallest detectable change applied to ---
Completion time by the patient - minutes
Scoring time by the assessor - minutes
Training to score Not necessary
Strengths Useful in clinical practice & research
Limitations ---
OTHER COMMENTS
Other Comments ---