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Improving the Predictive Validity of the Dutch STarT Back Tool.
Jasper D Bier1,2, Milou R Kuijer1,2,3, Annet de Jong3
1Department of General Practice, Erasmus MC, Rotterdam, the Netherlands.
Physical Therapy
|September 9, 2021
Summary
Improving the STarT Back Tool (SBT) for low back pain patients enhances predictive validity. Adding "duration of complaints" and adjusting cut-off scores significantly improves risk prediction for better patient outcomes.
Area of Science:
- Musculoskeletal disorders
- Clinical prediction models
- Health services research
Background:
- The STarT Back Tool (SBT) is used to stratify patients with low back pain.
- Optimizing the SBT's predictive validity is crucial for effective patient management.
- The Dutch version of the SBT requires evaluation for improved accuracy.
Purpose of the Study:
- To enhance the predictive validity of the Dutch STarT Back Tool (SBT).
- To investigate improvements through modified cut-off values, item changes, or added prognostic factors.
Main Methods:
- Secondary analysis of a prospective cohort study (PRINS study).
- Patients with low back or neck pain were included.
- Predictive validity assessed using relative risk ratio and Spearman correlation; new cut-offs determined by ROC curves; item changes evaluated with logistic regression.
Main Results:
- 150 patients analyzed; risk distribution: 51% low, 39% moderate, 11% high.
- Modified cut-off scores (total ≤2, subscore ≥5) improved Spearman correlation and RR.
- Adding "duration of complaints" significantly improved RR for moderate and high-risk groups.
Conclusions:
- The predictive validity of the Dutch SBT can be enhanced.
- Adding "duration of complaints" and adjusting cut-off values are effective strategies.
- Optimized SBT improves risk stratification for low back pain patients.
