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10.1016/j.ajo.2021.07.024

http://scihub22266oqcxt.onion/10.1016/j.ajo.2021.07.024
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34324852!8312151!34324852
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suck abstract from ncbi

pmid34324852      Am+J+Ophthalmol 2022 ; 233 (?): 163-170
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  • Disparities in Eye Care Utilization During the COVID-19 Pandemic #MMPMID34324852
  • Elam AR; Sidhom D; Ugoh P; Andrews CA; De Lott LB; Woodward MA; Lee PP; Newman-Casey PA
  • Am J Ophthalmol 2022[Jan]; 233 (?): 163-170 PMID34324852show ga
  • PURPOSE: To assess the relationship between telemedicine utilization and sociodemographic factors among patients seeking eye care. DESIGN: Comparative utilization analysis. METHODS: We reviewed the eye care utilization patterns of a stratified random sample of 1720 patients who were seen at the University of Michigan Kellogg Eye Center during the height of the COVID-19 pandemic (April 30 to May 25, 2020) and their odds of having a video, phone, or in-person visit compared with having a deferred visit. Associations between independent variables and visit type were determined using a multinomial logistic regression model. RESULTS: Older patients had lower odds of having a video visit (P = .007) and higher odds of having an in-person visit (P = .023) compared with being deferred, and in the nonretina clinic sample, older patients still had lower odds of a video visit (P = .02). Non-White patients had lower odds of having an in-person visit (P < .02) in the overall sample compared with being deferred, with a similar trend seen in the retina clinic. The mean neighborhood median household income was $76,200 (+/-$33,500) and varied significantly (P < .0001) by race with Blacks having the lowest estimated mean income. CONCLUSION: Disparities exist in how patients accessed eye care during the COVID-19 pandemic with older patients-those for whom COVID-19 posed a higher risk of mortality-being more likely to be seen for in-person care. In our affluent participant sample, there was a trend toward non-White patients being less likely to access care. Reimbursing telemedicine solely through broadband internet connection may further exacerbate disparities in eye care.
  • |*COVID-19[MESH]
  • |*Delivery of Health Care[MESH]
  • |*Health Services Accessibility[MESH]
  • |Age Factors[MESH]
  • |Health Services/*statistics & numerical data[MESH]
  • |Healthcare Disparities/*ethnology[MESH]
  • |Humans[MESH]
  • |Michigan[MESH]
  • |Pandemics[MESH]
  • |SARS-CoV-2[MESH]
  • |Sociodemographic Factors[MESH]


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