Literature DB >> 34554212

Association of Patient Characteristics With Delivery of Ophthalmic Telemedicine During the COVID-19 Pandemic.

Kanza Aziz1, Jade Y Moon2, Ravi Parikh3,4, Alice C Lorch2, David S Friedman2, John B Miller2, Grayson W Armstrong2.   

Abstract

Importance: Telemedicine has been shown to have had reduced uptake among historically marginalized populations within multiple medical specialties during the COVID-19 pandemic. An evaluation of health disparities among patients receiving ophthalmic telemedical care during the pandemic is needed. Objective: To evaluate disparities in the delivery of ophthalmic telemedicine at Massachusetts Eye and Ear (MEE) during the COVID-19 pandemic. Design, Setting, and Participants: This retrospective, cross-sectional study analyzed clinical visits at a single tertiary eye care center (MEE) from January 1 to December 31, 2020. Patients who had ophthalmology and optometry clinical visits at the MEE during the study period were included. Exposures: Telemedicine vs in-person clinical encounters. Main Outcomes and Measures: Variables associated with use of ophthalmic telemedicine during the study period.
Results: A total of 2262 telemedicine ophthalmic encounters for 1911 patients were included in the analysis. The median age of the patients was 61 (interquartile range, 43-72) years, and 1179 (61.70%) were women. With regard to race and ethnicity, 87 patients (4.55%) identified as Asian; 128 (6.70%), as Black or African American; 23 (1.20%), as Hispanic or Latino; and 1455 (76.14%), as White. On multivariate analysis, factors associated with decreased receipt of telemedical care included male sex (odds ratio [OR], 0.86; 95% CI, 0.77-0.96), Black race (OR, 0.69; 95% CI, 0.56-0.86), not speaking English (OR, 0.63; 95% CI, 0.48-0.81), educational level of high school or less (OR, 0.83; 95% CI, 0.71-0.97), and age (OR per year of age, 0.99; 95% CI, 0.989-0.998). When comparing telephone- and video-based telemedicine visits, decreased participation in video-based visits was associated with age (OR per year of age, 0.96; 95% CI, 0.94-0.98), educational level of high school or less (OR, 0.54; 95% CI, 0.29-0.99), being unemployed (OR, 0.28; 95% CI, 0.12-0.68), being retired (OR, 0.22; 95% CI, 0.10-0.42), or having a disability (OR, 0.09; 95% CI, 0.04-0.23). Conclusions and Relevance: The findings of this cross-sectional study, though limited to retrospective data from a single university-based practice, suggest that historically marginalized populations were less likely to receive ophthalmic telemedical care compared with in-person care during the first year of the COVID-19 pandemic in the US. Understanding the causes of these disparities might help those who need access to virtual care.

Entities:  

Mesh:

Year:  2021        PMID: 34554212      PMCID: PMC8461546          DOI: 10.1001/jamaophthalmol.2021.3728

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   8.253


  9 in total

Review 1.  Coronavirus Disease 2019-Related Health Disparities in Ophthalmology with a Retrospective Analysis at a Large Academic Public Hospital.

Authors:  Y Grace Chung; Christie M Person; Jacquelyn O'Banion; Susan A Primo
Journal:  Adv Ophthalmol Optom       Date:  2022-04-22

2.  Trends in the Utilization of Teleneurology and Other Healthcare Resources Prior to and During the COVID-19 Pandemic in an Urban, Tertiary Health System.

Authors:  Benjamin R Kummer; Parul Agarwal; Chloe Sweetnam; Jessica Robinson-Papp; Leah J Blank; Ilana Katz Sand; Georges Naasan; Christina A Palmese; Joohi Jimenez-Shahed; Jihan Grant; Shanna Patterson; Alison Navis; Laura K Stein; Nathalie Jetté
Journal:  Front Neurol       Date:  2022-02-11       Impact factor: 4.003

3.  Evaluating Racial/Ethnic Differences in Care Escalation Among COVID-19 Patients in a Home-Based Hospital.

Authors:  Tsai-Ling Liu; Shih-Hsiung Chou; Stephanie Murphy; Marc Kowalkowski; Yhenneko J Taylor; Colleen Hole; Kranthi Sitammagari; Jennifer S Priem; Andrew McWilliams
Journal:  J Racial Ethn Health Disparities       Date:  2022-03-07

4.  Telehealth in cancer care during COVID-19: disparities by age, race/ethnicity, and residential status.

Authors:  Patricia I Jewett; Rachel I Vogel; Rahel Ghebre; Jane Y C Hui; Helen M Parsons; Arpit Rao; Smitha Sagaram; Anne H Blaes
Journal:  J Cancer Surviv       Date:  2021-11-20       Impact factor: 4.062

5.  Telemedicine for Retinal Disease During the COVID-19 Pandemic: Survey of the Patient Perspective.

Authors:  Prem N Patel; Parth A Patel; Davis Bhagat; Neha Chittaluru; Harit Bhatt; Rama Jager; Meena George; Veeral Sheth
Journal:  Ophthalmol Ther       Date:  2022-08-03

6.  Telehealth Encourages Patients with Diabetes in Racial and Ethnic Minority Groups to Return for in-Person Ophthalmic Care During the COVID-19 Pandemic.

Authors:  David J Ramsey; Claudia C Lasalle; Sidrah Anjum; Jeffrey L Marx; Shiyoung Roh
Journal:  Clin Ophthalmol       Date:  2022-07-04

7.  Acceptability of Telerehabilitation for Magnification Devices for the Visually Impaired Using Various Approaches to Facilitate Accessibility.

Authors:  Ava K Bittner; Patrick D Yoshinaga; John D Shepherd; John E Kaminski; Alexis G Malkin; Melissa W Chun; Tiffany L Chan; Ashley D Deemer; Nicole C Ross
Journal:  Transl Vis Sci Technol       Date:  2022-08-01       Impact factor: 3.048

8.  Factors That Affect Telehealth Utilization and In-Person Glaucoma Care During the COVID-19 Pandemic.

Authors:  Alexander Huther; Shiyoung Roh; David J Ramsey
Journal:  Ophthalmol Glaucoma       Date:  2022-08-05

9.  Assessing optometric care delivered by telehealth during the COVID-19 public health emergency.

Authors:  Justine H Pidgeon; Mahesh K Bhardwaj; Patrick Titterington; Karen Latulippe; Shiyoung Roh; David J Ramsey
Journal:  Ther Adv Ophthalmol       Date:  2022-09-29
  9 in total

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