External Validation of the Orebro Musculoskeletal Pain Screening Questionnaire within an Injured Worker Population: A Retrospective Cohort Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<strong>Purpose:</strong> The purpose of this study was to determine what cut-off of the Orebro Musculoskeletal Pain Screening Questionnaire score will best differentiate workers with acute musculoskeletal injuries at-risk for delayed return to work (greater than 3 months), in a population of workers of less than 3 weeks injury duration. <strong>Study Design:</strong> Retrospective cohort design, using a sample of convenience. <strong>Methods:</strong> A sample of 259 consecutive WCB patients seeking assessment and treatment at a multidisciplinary rehabilitation facility were reviewed, with 152 meeting the inclusion criteria of having sustained a soft tissue injury within 3 weeks of initial assessment. Descriptive statistics, tests of difference between Time 1 and Time 2 OMPSQ scores and Receiver Operator Characteristic curves were generated. The method of determining predictive ability of the OMPSQ at two points in time was by means of ROC analysis. <strong>Results:</strong> This study determined that the OMPSQ is moderately predictive of failure to achieve timely return to work (RTW) in a population of injured workers with acute musculoskeletal soft tissue injuries, when assessed two-weeks after treatment is initiated, and less predictive at the initial intake into treatment. Delayed RTW was defined as those workers who had not returned to their pre-injury job full time by 90 days, due to reduced functional ability as it related to their pre-injury occupation. <strong>Conclusions:</strong> This study demonstrates that there is variability in cut-off scores across studies. Future research should attempt to define cut-off scores as they relate to the population , outcome, condition and time-frame of interest . <strong></strong>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it