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Patient Satisfaction with the Hybrid Telemedicine Model for Ophthalmology.

Manal DiaMelanie M AlbrechtNedda SanayeiHoward CabralDiana C MartinManju L SubramanianSteven NessNicole H SiegelManishi DesaiXuejing Chen
Published in: Telemedicine journal and e-health : the official journal of the American Telemedicine Association (2023)
Background: The purpose of this research was to compare patient satisfaction between hybrid ophthalmology telemedicine and standard-of-care in-person visits. A retrospective, cross-sectional, case-control analysis of patient satisfaction based on survey data was used. Methods: Responses to the National Research Council Health Patient Survey were retrieved for randomly sampled hybrid ophthalmology telemedicine and in-person visits between March 11, 2020 and December 31, 2021 at a hospital-based eye clinic in Boston, Massachusetts. The primary outcome was based on the question "How likely would you be to recommend this provider to your family and friends?" (0-10 scale) with a score of 9 or 10 coded as satisfied. Two-sample t -tests, Pearson's chi-square tests, and bivariate logistic regressions were used to compare patient satisfaction scores between the hybrid and in-person cohorts. Demographic data, including age, sex, language, and self-reported race and ethnicity, were used as potential predictors of patient satisfaction in a multivariable logistic regression model. Results: There were 49 surveys from hybrid visits and 3,390 surveys from in-person visits. Hybrid visit patients reported high satisfaction scores without significant differences compared to in-person visit patients (hybrid 79% satisfied, in-person 82% satisfied, p  = 0.728). Age was significantly associated with satisfaction in the hybrid cohort with the 65+ age group reporting lower satisfaction (below 65 years 100% satisfied, 65+ years 60% satisfied, p  = 0.003). No association with age was observed in the in-person cohort. Conclusions: The hybrid ophthalmology telemedicine model can provide effective care without sacrificing patient satisfaction. Older patients may benefit from targeted interventions in future telemedicine models.
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