As the number of total knee arthroplasties (TKA) being performed continues to increase, the number of potential failures requiring revision surgery would also be expected to increase. This study analyzed the trends in revision TKA (rTKA) from 2009 to 2016. The Nationwide Inpatient Sample (NIS) database was used to identify all rTKA by International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10) codes. The diagnoses leading to revision, revision costs, patient and hospital characteristics, and major inpatient complications were compared between 2009 and 2016. Multivariate logistic regression analyses were used to calculate odds ratios (OR) for complications.Background
Methods
In recent years, online patient portals have been developed to offer the potential of an enhanced recovery experience. By offering videos, communication tools and patient-reported outcomes collection, online portals encourage patient's engagement in their care. In the total joint arthroplasty population, portals may also offer online physical therapy, allowing TJA patients to reach functional goals while reducing costs. Although technology may offer the potential of an enhanced recovery experience, disparities may exist between the comfort level of use and communication preferences of different patient populations. Our study aimed to analyze the utilization of an internet based patient portal, and quantify the impact of usage on patient reported outcome measures. 4,458 patients who underwent TJA across 8 major academic centers within one healthcare system were analyzed. Patients who scheduled surgery were registered for the online portal by the surgical coordinator. Upon registration, patients opt-in by signing a license agreement, and data is collected on their utilization of the portal including logins, exercise and educational videos watched, messages sent and PROs completed. Age was compared to utilization, opt-in rates, total videos watched, and messages sent. Two separate patient cohorts were identified to distinguish between active and non-active users. Anyone who opted-in and viewed over 5 preoperative videos or had at least 5 preoperative logins were considered active users. Patients’ postoperative KOOS-JR and HOOS-JR score improvements from baseline were compared between the active vs. non-active groups.Introduction
Methods
