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Introduction: The COVID-19 pandemic necessitated a major expansion in telemedicine use. The continued use of telemedicine post-pandemic has the potential to enhance healthcare use for people at risk for sub-optimal healthcare access and utilization, such as patients with previous preventable hospitalization. This study analyzed the association between pre-pandemic preventable hospitalizations (PPHs) and telemedicine use during the pandemic. Methods: This retrospective cohort study uses Medicaid administrative claims data (01/2018-06/2022) for patients of a large Federally Qualified Health Center in Arizona that implemented telemedicine in March 2020. Bivariate and multivariable generalized estimating equations were used to analyze the relationship between the outcome and predictor variables. We also analyze racial/ethnic and primary language disparities in telemedicine use among those with PPH and report the average predicted probability. Results: There was a statistically significant relationship between telemedicine use and PPH even after adjusting for comorbidity severity (OR:1.85; CI: 1.74, 1.96). Analyses restricted to those who had PPHs showed an seven-percentage point difference in the predicted probability of telemedicine use between non-Hispanic White individuals and Asian/Pacific Islanders, the group with the lowest probability of telemedicine use among our study sample. Conclusion: Telemedicine is a unique tool that can be leveraged by interventions that aim to optimize healthcare use among those with a history of preventable hospitalizations. However, the lack of targeted interventions to identify and address barriers to telemedicine use among minoritized groups could limit the impact of such interventions and widen disparities.
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INTRODUCTION: Missed appointments also known as no-shows adversely affect clinical outcomes, clinic efficiency, and quality of care and have been attributed to barriers such as work schedule conflicts and lack of transportation. The widespread telemedicine implementation and adoption that has occurred as a consequence of the COVID-19 pandemic has the potential to address these barriers and improve missed appointment rates. This study aims to analyze the relationship between telemedicine and missed appointments. METHODS: This retrospective cohort study used electronic health records data from a safety-net academic health center with federally qualified clinics (March 2020-December 2022). Bivariate and multivariable generalized estimating equations were used to analyze the relationship between no-show and appointment type (in-person versus telemedicine appointment). Stratified adjusted regression analyses were used to calculate the average change in the marginal effect of telemedicine appointments on no-shows across covariates. The data were analyzed from September 2023 to October 2023. RESULTS: Hispanic patients accounted for 60% of the 474,212 appointments, followed by non-Hispanic White (22.5%), non-Hispanic Black (13.3%), Asian (2.7%), Native American (1%), and other race/ethnicity patients (0.6%). The no-show rate for telemedicine appointments was 12% compared with 25% for in-person appointments. Multivariable analysis showed that telemedicine appointment was associated with a decreased likelihood of no-show compared with in-person appointments (OR=0.40, 95% CI=0.40, 0.41). The average change in the marginal effect of telemedicine appointments on the reduction of no-shows across race/ethnicity was greatest for Native American and non-Hispanic Black patients. CONCLUSIONS: Telemedicine appointments were associated with a decreased likelihood of no-shows, and the protective effect of telemedicine appointments on missed appointments was greatest for underserved groups. Strategies to increase telemedicine uptake, especially for underserved groups, are critical.