Psychometric properties of presenteeism scales for musculoskeletal disorders: A systematic review
Bibliographic record
Abstract
OBJECTIVE: To conduct a systematic review of the psychometric evidence relating to presenteeism scales in workers with musculoskeletal disorders. METHODS: A structured search was conducted in 3 databases (MEDLINE, CINAHL, Embase) for articles published between 1966 and 2010. Sixteen articles met eligibility criteria. Pairs of raters used structured tools to analyse these articles through critical appraisal and data extraction. Descriptive synthesis of the psychometric evidence was then performed. RESULTS: Methodological quality ratings of 56% of the studies reviewed reached a level of 75% or higher. Seven presenteeism scales were evaluated. Overall, presenteeism scales demonstrated acceptable validity content, were moderately to highly correlated (r > 0.50) to each other and to work- and disease-oriented constructs, and were able to differentiate between different populations and disability levels (p < 0.05). Limited evidence exists on the reliability and responsiveness of presenteeism scales, as reliability had only been evaluated for two scales and responsiveness in two studies. CONCLUSION: None of the identified scales demonstrated satisfactory results for all evaluated psychometric properties. For most scales, data regarding properties such as reliability and responsiveness were insufficient. Therefore, there is no substantial evidence to recommend one questionnaire over the others based solely on psychometric properties.
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.
How this classification was reachedexpand
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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 teacher head, 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".