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Background: The American Academy of Orthopaedic Surgeons (AAOS) Appropriate Use Criteria (AUC) for Surgical Management of Osteoarthritis of the Knee (2016) and Management of Osteoarthritis of the Hip (2017) are intended to provide treatment recommendations for osteoarthritis (OA). This study examined the agreement of AUC appropriateness classifications with arthroplasty surgeon recommendations for total knee arthroplasty (TKA) and total hip arthroplasty (THA). Methods: The cohort included 558 OA patients (397 knee, 161 hip) referred to a specialty arthroplasty clinic. Surgeons completed the online AAOS AUC patient profiles to generate appropriateness ratings. Surgeons' recommendations for treatment were recorded. We performed univariate and bivariate analyses to evaluate relationships between AUC appropriateness and surgeon recommendations. Results: The knee OA AUC classified TKA as "appropriate" for 309 (77.8%) of the 397 knee OA patients. Surgeons recommended TKA for 123 (31.0%), resulting in 46.8% (n = 186) higher rate of "appropriate" classification by AUC than TKA recommendation by surgeons. Weighted Cohen's κ demonstrated slight agreement (κ = 0.06, 95% confidence interval: 0.04, 0.09) between AUC appropriateness and surgeon TKA recommendation. The hip OA AUC classified THA as "appropriate" for 98 (60.9%) of the 161 hip OA patients. Surgeons recommended THA for 76 (47.2%), resulting in 13.7% (n = 22) higher rate of "appropriate" classification by AUC than THA recommendation by surgeons. Weighted Cohen's κ demonstrated moderate agreement (κ = 0.47, 95% confidence interval: 0.37, 0.57) between the AUC appropriateness classification and the surgeon's THA recommendation. Conclusions: AAOS AUC guidelines indicated surgical appropriateness significantly more than arthroplasty surgeons. AUC agreed slightly with surgeons for TKA and moderately for THA.
RESUMO
BACKGROUND: Achieving a minimal clinically important difference (MCID) in patient-reported outcomes following total knee arthroplasty (TKA) is common, yet up to 20% patient dissatisfaction persists. Unmet expectations may explain post-TKA dissatisfaction. No prior studies have quantified patient expectations using the same patient-reported outcome metric as used for MCID to allow direct comparison. METHODS: This was a prospective study of patients undergoing TKA with 5 fellowship-trained arthroplasty surgeons at one academic center. Baseline Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) and Pain Interference (PI) domains were assessed. Expected PROMIS scores were determined by asking patients to indicate the outcomes they were expecting at 12 months postoperatively. Predicted scores were generated from a predictive model validated in the Function and Outcomes Research for Comparative Effectiveness in Total Joint Replacement (FORCE-TJR) dataset. T-tests were used to compare baseline, expected, and predicted PROMIS scores. Expected scores were compared to PROMIS MCID values obtained from the literature. Regression models were used to identify patient characteristics associated with high expectations. RESULTS: There were 93 patients included. Mean age was 67 years (range, 30 to 85) and 55% were women. Mean baseline PROMIS PF and PI was 34.4 ± 6.7 and 62.2 ± 6.4, respectively. Patients expected significant improvement for PF of 1.9 times the MCID (MCID = 11.3; mean expected improvement = 21.6, 95% confidence interval [CI] 19.6 to 23.5, P < .001) and for PI of 2.3 times the MCID (MCID = 8.9; mean expected improvement = 20.6, 95% CI 19.1-22.2, P < .001). Predicted scores were significantly lower than expected scores (mean difference = 9.5, 95% CI 7.7 to 11.3, P < .001). No unique patient characteristics were associated with high expectations (P > .05). CONCLUSIONS: To our knowledge, this study is the first to quantify preoperative patient expectations using the same metric as MCID to allow for direct comparison. Patient expectations for improvement following TKA are â¼2× greater than MCID and are significantly greater than predicted outcome scores. This discrepancy challenges currently accepted standards of success after TKA and indicates a need for improved expectation setting prior to surgery.
RESUMO
Seven knowledge domains were originally defined for the learning health system (LHS) scientist. To assess proficiency in each of these domains, we developed and published an assessment tool for use by emerging LHS scientists and training programs. (LHS, October 2022). In mid-2022, the AHRQ adopted an eighth LHS knowledge domain, Equity and Justice. The addition of this eighth domain emphasizes the importance and centrality of equity in the LHS and improvement science. To extend our prior LHS competency assessment, we developed a proficiency assessment for the new equity and justice domain. Content experts and trainees iteratively defined, reviewed, and edited the assessment criteria. The items were developed by trainees and experts at one LHS training center with experience conducting research focused on healthcare inequities among marginalized populations. The proficiency assessment criteria for the Equity domain apply the same four levels of mastery: "no exposure," "foundational awareness," "emerging," and "proficient" as were used for original competencies. LHS training programs can use these proficiency criteria to monitor skills among emerging scientists across the eight domains, with particular attention to equity and justice.