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Gynecol Oncol ; 162(1): 4-11, 2021 07.
Article in English | MEDLINE | ID: covidwho-1225432

ABSTRACT

OBJECTIVE: The COVID-19 pandemic has quickly transformed healthcare systems with expansion of telemedicine. The past year has highlighted risks to immunosuppressed cancer patients and shown the need for health equity among vulnerable groups. In this study, we describe the utilization of virtual visits by patients with gynecologic malignancies and assess their social vulnerability. METHODS: Virtual visit data of 270 gynecology oncology patients at a single institution from March 1, 2020 to August 31, 2020 was obtained by querying a cohort discovery tool. Through geocoding, the CDC Social Vulnerability Index (SVI) was utilized to assign social vulnerability indices to each patient and the results were analyzed for trends and statistical significance. RESULTS: African American patients were the most vulnerable with a median SVI of 0.71, Asian 0.60, Hispanic 0.41, and Caucasian 0.21. Eighty-seven percent of patients in this study were Caucasian, 8.9% African American, 3.3% Hispanic, and 1.1% Asian, which is comparable to the baseline institutional gynecologic cancer population. The mean census tract SVI variable when comparing patients to all census tracts in the United States was 0.31 (range 0.00 least vulnerable to 0.98 most vulnerable). CONCLUSIONS: Virtual visits were utilized by patients of all ages and gynecologic cancer types. African Americans were the most socially vulnerable patients of the cohort. Telemedicine is a useful platform for cancer care across the social vulnerability spectrum during the pandemic and beyond. To ensure continued access, further research and outreach efforts are needed.


Subject(s)
COVID-19/prevention & control , Genital Neoplasms, Female/therapy , Patient Acceptance of Health Care/statistics & numerical data , Telemedicine/statistics & numerical data , Vulnerable Populations/statistics & numerical data , Black or African American/statistics & numerical data , Aged , Asian/statistics & numerical data , COVID-19/epidemiology , COVID-19/transmission , Cohort Studies , Communicable Disease Control/standards , Female , Genital Neoplasms, Female/diagnosis , Gynecology/organization & administration , Gynecology/standards , Gynecology/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Hispanic or Latino/statistics & numerical data , Humans , Medical Oncology/organization & administration , Medical Oncology/standards , Medical Oncology/statistics & numerical data , Middle Aged , Pandemics/prevention & control , Socioeconomic Factors , Telemedicine/organization & administration , Telemedicine/standards , United States/epidemiology , White People/statistics & numerical data
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