A primary care back pain screening tool: identifying patient subgroups for initial treatment
Jonathan C Hill1, Kate M Dunn, Martyn Lewis
1Primary Care Musculoskeletal Research Centre, Keele University, Keele, Staffordshire, UK. j.hill@cphc.keele.ac.uk
Arthritis and Rheumatism
|April 29, 2008
Summary
A new screening tool effectively identifies prognostic indicators for back pain in primary care. This tool aids in stratifying patients into low, medium, and high-risk groups for targeted secondary prevention strategies.
Area of Science:
- Primary Care Medicine
- Musculoskeletal Health
- Clinical Tool Development
Background:
- Nonspecific back pain is a common condition in primary care.
- Effective prognostic screening is needed for timely intervention and secondary prevention.
Purpose of the Study:
- To develop and validate a screening tool for prognostic indicators of back pain.
- To aid decision-making in primary care for patients with nonspecific back pain.
Main Methods:
- Secondary analysis of existing cohorts and literature to identify prognostic indicators.
- Receiver operating characteristic curve analysis for question selection.
- Psychometric validation (reliability, validity, repeatability) in development and external samples.
Main Results:
- A 9-item tool was developed, including pain characteristics, disability, and psychosocial factors (psychosocial subscale).
- The tool demonstrated good reliability and validity, with established cutoffs for low, medium, and high-risk stratification.
- The tool was found to be acceptable to both patients and clinicians.
Conclusions:
- A brief, validated screening tool can identify patient subgroups for early secondary prevention in primary care.
- Further research is needed to confirm if targeted treatment based on tool allocation improves patient outcomes.
