Background: The Patient-Reported Outcomes Measurement Information System (PROMIS) is a valid and efficient means of collecting patient outcomes in patients with meniscal tears. The studies purpose was to define the minimally clinical important difference (MCID) for PROMIS domains following meniscectomy procedures. Secondary aims included determining the role of pre-operative PROMIS computer adaptive test (CAT) scores in predicting achievement of MCID following meniscectomy. Methods: Patients undergoing arthroscopic meniscectomy who completed PROMIS CAT forms for physical function (PROMIS-PF), pain interference (PROMIS-PI), and depression (PROMIS-D), from July 2017 to July 2019, at a single institution were utilized. MCID was calculated according to the distribution methodology, and receiver operating characteristics (ROC) were utilized to determine if pre-operative scores were predictive of post-operative outcomes. Results: A total of 135 patients met inclusion criteria. Postoperative PROMIS-PF (45.6), PROMIS-PI (54.6), and PROMIS-D (44.1) significantly improved 3 months after surgery (p<0.01). MCID values for PROMIS-PF, PROMIS-PI, and PROMIS-D were 3.5, 3.3, and 4.4, respectively. 62% of the entire cohort met MCID for PROMIS-PF, while 68% met MCID for PROMIS-PI, and 41% met MCID for PROMIS-D. Individuals with PROMIS-PF scores below 34.9 yielded an 82% probability of achieving MCID, while PROMIS-PI scores above 67.5 yielded an 86% probability of achieving MCID and a cutoff of 58.9 for PROMIS-D yielded a 60% probability of achieving MCID, with 90% specificity. Conclusion: Significant portions of patients undergoing meniscectomy achieve MCID in PROMIS-PF, PROMIS-PI, and PROMIS-D, at the 3-month time point. In particular, patients with PROMIS-PF scores of <34.9 are far more likely to achieve MCID for physical function.
Objectives: The Patient-Reported Outcomes Measurement Information System (PROMIS) is emerging as a valid and efficient means of collecting patient outcomes in patients with meniscal tears. Our purpose was to examine the role of pre-operative PROMIS computer adaptive test (CAT) scores in predicting post-operative PROMIS CAT scores, as well as the minimal clinically important difference (MCID) following meniscectomy. We hypothesize that pre-operative PROMIS CAT scores will directly impact both post-operative PROMIS CAT scores and likelihood of achieving MCID. Methods: Patients undergoing arthroscopic meniscectomy that completed PROMIS CAT forms for physical function (PROMIS-PF), pain interference (PROMIS-PI), and depression (PROMIS-D) were utilized. MCID was calculated according to the distribution methodology, and receiver operating characteristics (ROC) were utilized to determine if pre-operative scores were predictive of post-operative outcomes. Preoperative cutoffs were used to predict which patients would likely meet MCID, using 90% specificity. Results: A total of 135 patients met our inclusion criteria. PROMIS-PF, PROMIS-PI, and PROMIS-D improved 3 months after surgery (p<0.01). 62% of the entire cohort met MCID for PROMIS-PF, while 68% met MCID for PROMIS-PI, and 41% met MCID for PROMIS-D. Individuals with PROMIS-PF scores below 34.9 yielded an 82% probability of achieving MCID, while PROMIS-PI scores above 67.5 yielded an 86% probability of achieving MCID and a cutoff of 58.9 for PROMIS-D yielded a 60% probability of achieving MCID, with 90% specificity. Conclusions: Significant portions of patients undergoing meniscectomy achieve MCID in PROMIS-PF, PROMIS-PI, and PROMIS-D, at the 3-month time point. In particular, patients with PROMIS-PF scores of <34.9 are far more likely to achieve MCID for physical function.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.