Detailled Information

Name of the Instrument/Tool Örebro Musculoskeletal Pain Screening Questionnaire (OMPSQ)
First Description

Linton SJ, Halldén K. Can we screen for problematic back pain? A screening questionnaire for predicting outcome in acute and subacute back pain. Clin J Pain. 1998 Sep;14(3):209-15.

Year 1998
Domains
Concept of constructs Pain
Population/Disease Generic
Originally developed for Chronic musculoskeletal pain
Other rheumatic diseases
where can be applied (only if validated)
---
Additional population with no rheumatic diseases Yes
Other Musculoskeletal diseases
Language: Originally published in English
Available in Language German, Norwegian, Turkish, Portuguese, Swedish, Spanish, Persian, Chinese
REFERENCE IDENTIFICATION
Author/s Linton SJ, Halldén K.
Title Can we screen for problematic back pain? A screening questionnaire for predicting outcome in acute and subacute back pain.
Journal Clin J Pain.
Year 1998
Vol 14
Num 3
Pages 209-15
Country Sweden
Language English
Other references of interest
Link https://pubmed.ncbi.nlm.nih.gov/12616177/
Brief Description

Early identification of patients at risk of developing a persistent back problem: the predictive validity of the Orebro Musculoskeletal Pain Questionnaire

Link https://pubmed.ncbi.nlm.nih.gov/24317959/
Brief Description

Test-retest reliability of the Örebro Musculoskeletal Pain Screening Questionnaire and the Situational Pain Scale in patients with chronic low back pain

Link https://pubmed.ncbi.nlm.nih.gov/19534017/
Brief Description

 Orebro Musculoskeletal Pain Screening Questionnaire

Instrument/Tool Translations References
Link https://pubmed.ncbi.nlm.nih.gov/25358630/
Brief Description

Spanish version of the screening Örebro musculoskeletal pain questionnaire: a cross-cultural adaptation and validation

Link https://pubmed.ncbi.nlm.nih.gov/27272277/
Brief Description

 Validity and responsiveness of the French version of the Örebro Musculoskeletal Pain Screening Questionnaire in chronic low back pain.

Link https://pubmed.ncbi.nlm.nih.gov/28348724/
Brief Description

The Persian Version of Örebro Musculoskeletal Pain Screening Questionnaire: Translation and Evaluation of its Psychometric Properties

DEVELOPER CONTACT INFORMATION
Correspondence to Steven James Linton
E-Mail steven.linton@orebroll.se
Address Department of Behavioral, Social and Legal Sciences-Psychology, Orebro University, Orebro, Sweden
Website https://www.oru.se/english/research/research-environments/hs/champ/questionnaires/
Available ---
Links ---
DESCRIPTION OF THE INSTRUMENT
Type Of Measure Questionnaire
Brief Description

 25-item self-administered tool designed to identify people at risk of developing chronic pain associated with psychosocial factors (yellow flags). It assesses five categories of risk factors for prolonged disability: pain, perceived function, psychological variables, fear-avoidance beliefs, and patient demographics and background

Number of Items 25
Range 0-210
Responses options/scale Yes
0–10 Likert scale
Developed for ---
PRACTICAL APPLICATION
Method of administration Self-administered, Interviewer/assessor
Recommendations to score

Each item is scored on a 0–10 Likert scale with the exception of questions pertaining to background, previous sick leave, pain sites, and pain duration which are category scales. The score on 8 items is reversed. A total score is calculated from individual scores and ranges from 0 to 210 points.

Score Interpretation A higher score indicates a greater level of risk with each item weighted equally
Cut-off points < 90 (low risk); 91–105 (medium risk); > 105 (high risk)
Cut-off points applied to Routine care
Smallest detectable change if described ---
Smallest detectable change applied to ---
Completion time by the patient 5-10 minutes
Scoring time by the assessor - minutes
Training to score Not necessary
Strengths Useful in clinical practice & research, Easy to use
Limitations ---
OTHER COMMENTS
Other Comments

It has good specificity (classifying a healthy person as healthy, 75%) and sensitivity (correctly classifying those on longer duration of sick leave: 77% for those with 1–30 days sick leave and 61% for those with > 30 days sick leave). The overall predictive power of the instrument based on discriminant analyses (73%) is better than chance level of 33%