RESUMEN
BACKGROUND: Revision total knee arthroplasty is a challenging procedure. The robotic-assisted system has been shown to enhance the accuracy of preoperative planning and improve reproducibility in primary arthroplasty surgeries. The aim of this paper was to describe the surgical technique for robotic-assisted revision total knee arthroplasty and the potential benefits of this technique. METHOD: This single-centre retrospective study included a total of 19 patients recruited from April 1, 2021 to April 30, 2022. Inclusion criteria were patients who had Mako™ robotic-assisted revision total knee arthroplasty done within the study period with a more than 6 months follow-up. Statistical analysis was done using Microsoft Excel 16.0. RESULTS: All 19 patients were followed up for 6 to 18 months. All patients in this study had uneventful recoveries without needing any re-revision surgery when reviewed to date. CONCLUSION: With the development of dedicated revision total knee software, robot-assisted revision TKA can be a promising technique that may improve surgical outcomes by increasing the accuracy of implant placement, and soft tissue protection and achieving a better well-balanced knee.
RESUMEN
OBJECTIVES: To assess medication adherence rates of patients utilizing an online prescription management account compared with nonusers. STUDY DESIGN: A retrospective analysis was conducted using de-identified pharmacy claims data from a pharmacy benefit manager covering the period from April 1, 2009, to March 31, 2011. Patients who were continuously eligible throughout the study period and that had at least 1 prescription fill for any of the 8 therapeutic groups examined in the study were selected for inclusion. METHODS: Adherence was assessed by measuring the proportion of days covered (PDC). Propensity score matching was utilized to minimize differences in age, gender, chronic condition score, copay, household income, and urban locality between the users and nonusers groups. Results were reported for all therapeutic groups combined, as well as by individual therapeutic group. RESULTS: Overall, patients utilizing the online account had a significantly higher weighted average PDC (73.19% vs 61.64%, P <.0001). Users also had a higher average PDC for each individual therapeutic group, although the beta-blocker group was not statistically significant. The percentage of patients achieving an average PDC of >80% was also found to be greater in the users group across each therapeutic group and overall. CONCLUSIONS: Patients who utilized an online prescription management account had higher rates of medication adherence as compared with nonusers. Additional studies are needed to assess which specific components of the prescription management account have the biggest impact on adherence.