Sensibility and measurement properties of the Tampa Scale of Kinesiophobia to measure fear of movement in children and adults in surgical settings
Bibliographic record
Abstract
Purpose: Fear of movement, or kinesiophobia, is a risk factor for developing chronic post-surgical pain (CPSP) and may impede recovery. Identifying people with kinesiophobia peri-operatively is potentially valuable to intervene to optimize rehabilitation and prevent CPSP. This narrative review aims to describe and critically appraise the sensibility and measurement properties of the Tampa Scale of Kinesiophobia (TSK) in the surgical setting in both pediatric and adult populations.Material and methods: PubMed was searched for relevant articles using search terms related to the TSK and measurement properties; the search was restricted to articles published in English. COSMIN guidelines were used to rate measurement property sufficiency and study quality.Results: Four articles examined the measurement properties of the TSK-17 in the surgical setting. Included studies demonstrated sufficient internal consistency, structural validity, construct validity, but insufficient predictive validity. Study quality was variable. Although the TSK was not originally intended for the surgical setting, with minor modification, it appears sensible to use in this population.Conclusions: The TSK is a sensible tool to measure fear of movement in children and adults undergoing, or who underwent, surgery. Future studies are needed to test content validity, test-retest reliability, measurement error, and responsiveness in the surgical setting.IMPLICATIONS FOR REHABILITATIONFear of movement is a predictor of developing chronic post-surgical pain in children and adults.Rehabilitation interventions can address fear of movement in hopes to optimize surgical outcomes and prevent chronic post-surgical pain.The Tampa Scale of Kinesiophobia (TSK), with minor modification, is a sensible tool to measure fear of movement in surgical settings.There is some evidence that the TSK is reliable and valid to use with older children, adolescents, and adults who are undergoing or underwent surgery.
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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 | 0.024 | 0.094 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".