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Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
Published on: January 5, 2024
Computer-Based Stratified Primary Care for Musculoskeletal Consultations Compared With Usual Care: Study Protocol for
Jonathan Hill1, Stefannie Garvin2, Ying Chen1
1Institute for Primary, Community and Social Care, Keele University, Stoke-on-Trent, United Kingdom.
This study tested a prognostic tool to stratify musculoskeletal pain patients into risk groups for tailored care. Results will show if this stratified approach is effective and cost-effective compared to usual care.
Area of Science:
- Primary care research
- Musculoskeletal pain management
- Health services research
Background:
- Musculoskeletal (MSK) pain is a leading cause of disability.
- The Start Back Tool effectively guides low back pain management.
- This study expands prognostic stratification to common MSK pain conditions.
Purpose of the Study:
- To evaluate the clinical and cost-effectiveness of stratified care for common MSK pain presentations (back, neck, knee, shoulder, multisite).
- To compare stratified care using the Keele Start MSK Tool against usual nonstratified primary care.
Main Methods:
- Pragmatic, cluster randomized controlled trial in UK primary care (24 general practices).
- Intervention: Keele Start MSK Tool for risk stratification and matched treatment allocation.
- Primary outcome: pain intensity over 6 months; secondary outcomes: physical function, quality of life, cost-effectiveness.
Main Results:
- Recruitment completed (1200 patients, 24 practices) between May 2018 and July 2019.
- Follow-up and data collection concluded in February 2020.
- Results are anticipated by summer 2020.
Conclusions:
- This trial is the first to test prognostic stratified care for primary care MSK pain patients.
- The study aims to provide evidence on the effectiveness and cost-effectiveness of this approach.
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