The Mitigating Effects of Telehealth Uptake on Disparities in Maternal Care Access, Quality, Outcomes, and Expenditures, United States, 2018-2022 (ICPSR 39023)

Version Date: Nov 5, 2024 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Peiyin Hung, University of South Carolina; Xiaoming Li, University of South Carolina

https://doi.org/10.3886/ICPSR39023.v2

Version V2 ()

  • V4 [2026-03-18]
  • V3 [2025-05-12] unpublished
  • V2 [2024-11-05] unpublished
  • V1 [2024-02-19] unpublished

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Additional details may be in the Version History or Data Collection Notes fields of the study metadata.

2024-11-05 Added variable-level metadata for DS2 and DS3. Updated dataset name for DS1. Made minor updates to study metadata.

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This study explores whether perinatal telehealth uptake has mitigated the pandemic's effects on disparities in maternal care access, quality, and outcomes by race, ethnicity, and rural or urban residence. Research to date has approached this question in three ways. First, researchers have utilized census data to assess whether community-wide broadband infrastructure exists to support the use of telehealth services in areas with high travel times to maternal care units. Findings suggest that socioeconomically disadvantaged communities face significant barriers to maternity care access, both with substantial travel burdens and inadequate digital access to facilitate telehealth services. Second, to examine maternal care quality, researchers have employed South Carolina hospital-based claims data and vital statistics to identify racial, ethnic, and urban/rural disparities in rates of cesarean delivery before and during the COVID-19 pandemic period. Results indicate that cesarean rates differed by rural vs. urban facility locations and racial and ethnic groups but observed disparities were not significantly exacerbated by the pandemic. Third, using South Carolina hospital-based claims data and COVID-19 testing data, researchers found significant racial, ethnic, and rural disparities in postpartum readmissions involving mental health and substance use disorders from childbirth discharge through one year postpartum during the COVID-19 pandemic.

Future research will incorporate electronic health records from the National COVID Cohort Collaborative (N3C), hospital-based claims data, and vital statistics from Florida to investigate the impact of the COVID-19 pandemic and perinatal telehealth uptake on additional maternity care and birth outcomes by race, ethnicity, and urbanicity. The study also aims to assess how state-level telehealth policies relate to perinatal telehealth uptake by race, ethnicity, and urbanicity, and to develop a model to predict long-term changes in maternal care access, quality, outcomes, and expenditures, with and without state telehealth policies.

The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.

Hung, Peiyin, and Li, Xiaoming. The Mitigating Effects of Telehealth Uptake on Disparities in Maternal Care Access, Quality, Outcomes, and Expenditures, United States, 2018-2022. [distributor], 2024-11-05. https://doi.org/10.3886/ICPSR39023.v2

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United States Department of Health and Human Services. National Institutes of Health. Eunice Kennedy Shriver National Institute of Child Health and Human Development (U01HD110062)
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2018 -- 2022
2023 -- 2024
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DS1: Residential ZIP code tabulation areas in the United States. (Residential ZCTAs are those with at least one resident in 2020 according to the American Community Survey.)

DS2: Individuals who gave birth in South Carolina between January 2018 and December 2021.

DS3: Individuals who gave birth in South Carolina and were included in the COVID-19 registry files (statewide testing data) between March 1, 2020, and January 31, 2022.

For DS3, data on childbirths were derived from all-payer hospital discharge claims obtained from the South Carolina Department of Public Health.

The 2010 Rural-Urban Commuting Codes were used to classify ZCTAs as rural or urban.

Childbirth data were linked to all-payer hospital discharge claims for childbirth obtained from the South Carolina Revenue and Fiscal Affairs Office.

Population-weighted centroids for each ZCTA were taken from the U.S. Department of Housing and Urban Development's ZIP Code Population Weighted Centroids 2020 data.

For DS1, data on internet access and demographic characteristics of ZIP code tabulation areas (ZCTAs) comes from the 2020 American Community Survey.

Locations of hospital maternity units were taken from the 2020 American Hospital Association annual survey.

COVID-19 testing data came from the statewide universal COVID-19 registry file, a database of all positive and negative COVID-19 test results also maintained by DHEC. The South Carolina Revenue and Fiscal Affairs Office (RFA) linked these two data sources and provided deidentified linked data to the researchers.

For DS2, data on cesarean childbirths were derived from South Carolina birth certificates from January 2018 through December 2021 obtained from the South Carolina Department of Public Health (the former South Carolina Department of Health and Environmental Control, DHEC prior to July 1, 2024).

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2024-02-19

2024-11-05 Added variable-level metadata for DS2 and DS3. Updated dataset name for DS1. Made minor updates to study metadata.

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