Categorization of changes in the Oxford Knee Score after total knee replacement: an interpretive tool developed from a data set of 46,094 replacements

Objectives The objective of the study was to create an interpretive categorical classification for transition in Oxford Knee Score (OKS) change score (?OKS) using anchor-based method. Study Design and Setting Registry data from 46,094 total knee replacements year 2014/15, were accessed via Health Social Care Information Center official website. Data included preoperative 6-month follow-up OKS response anchor question. Categories determined Gaussian approximation probability k-fold cross-validation. Results Four categories identified with corresponding ?OKS intervals: “1. much better” (?16), “2. a little (7–15), “3. about same” (1–6), “4. worse” (?0) based on questions’ original five categories. mean 10-fold cross-validation error 0.35 points (95% confidence interval 0.12 0.63). Sensitivity ranged 0.34 0.68; specificity 0.74 0.95. Conclusion We have categorized into clinically meaningful classification. argue it should be addition continuous outcome contextualize results way more applicable shared decision-making process interpreting research results.