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Prenatal Telehealth During the Pandemic: Sociodemographic and Clinical Associations
Author(s) -
Cheng Gao,
Sarah S. Osmundson,
Bradley Malin,
You Chen
Publication year - 2021
Publication title -
telehealth and medicine today
Language(s) - English
Resource type - Journals
ISSN - 2471-6960
DOI - 10.30953/tmt.v6.279
Subject(s) - telehealth , medicine , prenatal care , odds ratio , ethnic group , logistic regression , pregnancy , medical record , confidence interval , retrospective cohort study , health care , telemedicine , family medicine , pediatrics , demography , environmental health , population , sociology , biology , anthropology , economics , genetics , economic growth
Objectives: Like other areas of care affected by the COVID-19 pandemic, telehealth (both audio and video) was rapidly adopted in the obstetric setting. We performed a retrospective analysis of electronic health record (EHR) data to characterize the sociodemographic and clinical factors associated with telehealth utilization among patients who received prenatal care. Materials and Methods: The study period covered March 23rd, 2020 to July 2nd, 2020, during which time 2,521 patients received prenatal care at a large academic medical center. We applied a generalized logistic regression to measure the relationship between the patients’ sociodemographic factors (in terms of age, race, ethnicity, urbanization level, and insurance type), pregnancy complications (namely, type 2 diabetes, chronic hypertension, and fetal growth restriction), and telehealth usage, as documented in the EHR. Results: During the study period, 2,521 patients had 16,516 prenatal care visits. 938 (37.2%) of the patients participated in at least one of 1,934 virtual prenatal care visits. Prenatal visits were more likely to be conducted through telehealth for patients who were older than 25 years old and lived in rural areas. In addition, patients who were with type 2 diabetes were more likely to use telehealth in their prenatal care (adjusted Odds Ratio (aOR) 7.247 [95% Confidence Interval (95% CI) 4.244 – 12.933]). By contrast, patients from racial and ethnic minority groups were less likely to have a telehealth encounter compared to white or non-Hispanic patients (aOR 0.603 [95% CI 0.465 – 0.778] and aOR 0.663 [95% CI 0.471 – 0.927], respectively). Additionally, patients who were on state-level Medicaid were less likely to use telehealth (aOR 0.495 [95% CI 0.402 – 0.608]). Discussion: Disparities in telehealth use for prenatal care suggest further investigations into access barriers. Hispanic patients who had low English language proficiency may not willing to see doctors via virtual care. Availability of high-speed internet and/or hardware may hold these patients who were insured through state-level Medicaid back due to poverty. Future work is advised to minimize access barriers to telehealth in its implementation. Conclusions: While telehealth expanded prenatal care access for childbearing women during the COVID-19 pandemic, this study suggested that there were non-trivial differences in the demographics of patients who utilized such settings.

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