Can one predict the likely specific orofacial pain syndrome from a self-completed questionnaire?

Tatiana MacFarlane, A. S. Blinkhorn, R. Craven, J. M. Zakrzewska, P. Atkin, M. P. Escudier, C. A. Rooney, V. Aggarwal, Gary John MacFarlane

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

To estimate the prevalence of orofacial pain (OFP) by specific diagnostic subgroups in the general population. Cross-sectional population study. General medical practice in South East Cheshire, UK. Participants of baseline investigation who completed the full postal questionnaire (1510, adjusted study participation rate 81%). Clinical examination was attended by 126 (43%) of all the participants who reported OFP in the questionnaire. These individuals were classified as musculoligamentous/soft tissue type, dentoalveolar or neurological/vascular. OFP duration, location, descriptors and statements on OFP were predictors of classification group. The estimated prevalence in the general population of musculoligamentous/soft tissue type of OFP was 7%, dentoalveolar 7% and neurological/vascular 6%. This study has derived a statistical model to classify participants with OFP into three broad groups (musculoligamentous/soft tissue, dentoalveolar and neurological/vascular) based on questionnaire information about OFP (OFP chronicity, location and verbal descriptors of pain). It is potentially useful in large population studies of OFP, where a clinical examination is not possible, however, further validation of its performance in large populations are necessary. (C) 2004 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)270-277
Number of pages7
JournalPain
Volume111
DOIs
Publication statusPublished - Jul 2004

Keywords

  • orofacial pain
  • prevalence
  • general population
  • pain diagnosis
  • HEADACHE PAIN

Fingerprint

Dive into the research topics of 'Can one predict the likely specific orofacial pain syndrome from a self-completed questionnaire?'. Together they form a unique fingerprint.

Cite this