Differences & Predictors of Patient-Reported Outcomes of Patients Receiving PT Post TKA

Research Objectives: The purpose of this study was to determine the differences and predictive properties of patient demographics, clinical, & organizational characteristics for patients receiving PT after a Total Knee Arthroplasty (TKA) who achieved the FOTO-predicted patient-reported outcome score goal

Design: Retrospective cohort study

Setting: Commercial PT provider in the U.S.

Participants: The sample included 2,648 Adults 18 to 84 years of age who received PT post-op TKA and were discharged between September 1, 2021, and March 31, 2022

Interventions: N/A

Main Outcome Measures: Difference & predictor variables included patient demographics (age, gender, primary insurance provider), clinical (% FS Benchmark, defined as the percent of the time a patient’s final FOTO score is above the FOTO-predicted patient outcome discharge score), and encounter characteristics (total visits, average visits per week, arrival rate).

Results: Patients with Federal insurance had greater odds of achieving a FOTO-predicted Discharge Score (aOR: 1.24; 95% CI = [1.04, 1.48]). Patients with ≤ 14 visits had decreased odds (aOR: 0.68; 95% CI = [0.68, 0.89]) of achieving FOTO-predicted Discharge Score, however no significant difference was observed compared to patients with ≥21 visits (aOR: 1.22; 95% CI = [0.99, 1.50]). Those whose arrival rate was less than 80% had lower odds (aOR: 0.68; 95% CI = [0.52, 0.89]) of achieving FOTO-predicted Discharge Score whereas patients whose arrival rate was ≥90% had greater odds (aOR: 1.52; 95% CI = [1.32, 1.99]).

Conclusions: These findings suggest that insurance type, as well as the number of visits and arrival rate, are key predictors in determining the likelihood of patients achieving the FOTO-predicated discharge outcome score goal. The results of this study may be used by providers to augment care delivery to optimize patient outcomes. Future research is needed to understand influencers of arrival rate and total visits, which can be used to personalize care delivery and improve patient outcomes.

Author(s) Disclosures: Authors have nothing to disclose.