Content and psychometric evaluations of questionnaires for assessing physical function in people with low back disorders. A systematic review of the literature
Bibliographic record
Abstract
Purpose: The purpose was to investigate how physical function is assessed in people with musculoskeletal disorders in the low back. Specifically:Which questionnaires are used to assess physical function in people with musculoskeletal disorders in the low back?What aspects of physical function do those questionnaires measure?What are the measurement properties of the questionnaires?Materials and methods: A systematic review was performed to identify questionnaires and psychometric evaluations of them. The content of the questionnaires was categorised according to the International Classification of Function, Disability and Health, and the psychometric evaluations were categorised using the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) checklist.Results: The questionnaires measured disability or ability to cope in everyday life, rather than physical function as such. Different aspects of a person’s mobility and ability to attend to one’s personal care were most often included regarding activity and participation. For body functions, items about sleep and pain were most often included. The Oswestry Disability Index and the Quebec Back Pain Disability Scale showed adequate psychometric properties in most evaluations.Conclusions: The extent of psychometric evaluations differed substantially, as did the items included. Focus of measurement was predominantly on activities in daily life.Implications for rehabilitationValid and reliable instruments that measure relevant aspects of low back disorders are needed to provide early diagnostics and effective treatment.Most questionnaires need more psychometric evaluations to establish the quality.The Oswestry Disability Index and the Quebec Back Pain Disability Scale showed adequate psychometric properties in most evaluations.The results may be useful when making decisions about which measurement instruments to use when evaluating low back disorders.
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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 | 0.023 | 0.089 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.016 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".