Telemedicine in Arthroplasty Patients: Which Factors Are Associated With High Satisfaction?

Telemedicine in Arthroplasty Patients: Which Factors Are Associated With High Satisfaction?

Publication date: Feb 01, 2024

During the initial coronavirus pandemic lockdown period, remote hip and knee arthroplasty care was heavily employed out of necessity. However, data on patient satisfaction with telemedicine specific to hip and knee arthroplasty patients remains unknown. All patients who had a telemedicine visit in the hip and knee arthroplasty department and completed a telemedicine satisfaction survey at a specialty hospital from April 1, 2020, to December 31, 2020, were identified. Patient satisfaction with telemedicine, gauged through a series of questions, were analyzed and evaluated over time. Independent factors associated with high satisfaction, defined as the “Top Box” response to the survey question “Likelihood of your recommending our video visit service to others,” were identified. Overall, 29,003 patients who had an in-person or telemedicine visit in the hip and knee arthroplasty department during the study period were identified. During the initial coronavirus pandemic lockdown period, defined as April 1, 2020-May 31, 2020, rate of overall telemedicine utilization was approximately 84%. After the initial lockdown period, the rate of overall telemedicine utilization was approximately 8% of all visits per month. Average satisfaction scores for a series of 14 questions were consistently above 4. 5 out of 5. Multivariable regression revealed younger age, particularly 18-64 years old, to be the only independent factor associated with high satisfaction with telemedicine. The rate of high satisfaction remained statistically similar throughout the study period (P > .05). Patient satisfaction with telemedicine was consistently high in various domains and remained high throughout the study period, regardless of loosened pandemic restrictions. This technology will most likely continue to be utilized, but perhaps it should be targeted at patients younger than 65 years of age.

Concepts Keywords
Coronavirus Patient satisfaction
Hospital Predictor
Old Telemedicine
Pandemic Utilization rate

Semantics

Type Source Name
disease VO time

Original Article

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