Risk Stratification in a Tertiary Care Spine Centre: Comparison Between STarTBack and OSPRO-YF Screening Tools
Bibliographic record
Abstract
Purpose: STarT Back Screening Tool and OSPRO-YF scales have been reported to be accurate tools for estimating risk for the development of persistent pain or prolonged disability in primary care settings. We performed a comparison of construct convergent and known-group validity and ceiling floor effect (CFE) of these tools using a common sample of patients seen at a tertiary care spine centre. Methods: This was a cross-sectional study of patients with and without a work-related back injury. The Hospital Anxiety and Depression Scale (HADS) was used as the reference outcome measure for convergent validity. For known-group validity, we examined the ability of the scales to differentiate between different levels of compensation, presence of non-organic signs, and work status. The CFE values were calculated. Results: Fifty consecutive injured workers were included along with 50 patients without an active compensation claim related to their low back pain. STarTBack and OSPRO-YF had moderate to high associations with the depression component of the HADS (0.69 to 0.77 respectively) with a statistically significant difference in favour of the OSPRO-YF. STarTBack's risk stratification categories were able to differentiate patients with a compensable injury, non-organic signs, and inability to work ( p values ranging from 0.002 to < 0.001). The physical activity and work fear-avoidance beliefs constructs of the OSPRO-YF consistently outperformed other yellow flag constructs ( p values ranging from 0.008 to < 0.001). The psychological sub-score of STarTBack showed a ceiling effect. There was a floor effect for the negative affect domain of OSPRO-YF. Neither total score had a floor or ceiling effect. Conclusions: STarTBack and OSPRO-YF are short screening tools with acceptable convergent and known-group construct validity and no floor or ceiling effect of their total score. Both tools could assist with the identification, evaluation, and management of psychological distress in patients presenting to tertiary care spine centres.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".