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Using Administrative Claims Data to Address Maternal Health Disparities

Benefits, Pitfalls, and Methodological Solutions

Datos Bibliográficos

ID15313109
AutoresSara E Heins (0000-0003-0196-9000, RAND Corporation, autor de correspondencia), Toyya A Pujol (0000-0002-3992-2710, RAND Corporation)
Año2024
Volumen34
Número3
Páginas217-220
Fecha de publicación2024-04-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaWomen s Health Issues (JOURNAL)
Identificadores de la revistaISSN: 1049-3867 • E-ISSN: 1878-4321
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.whi.2024.04.002
PMID38688787
OpenAlexW4396534165
IdiomaEN
Referencias citadas19

Actuarial science · Business · Data science · Environmental health · Health equity · Health services · Maternal health · Public health · Computer Science · Global Maternal and Child Health · Healthcare Policy and Management · Medicine · Nursing · Reproductive Health and Contraception

  • Racism During Pregnancy and Birthing

    Open Access•T T Nguyen, Shaniece Cri et al.•Journal of Racial and Ethnic…•2023

  • Cautions When Using Race and Ethnicity in Administrative Claims Data Sets

    Open Access•Kevin T Nead, Candice L Hinkston et al.•JAMA Health Forum•2022

  • Disparities in Initiation and Adherence to Prenatal Care

    Open Access•Marlene Bengiamin, Marlene I Bengiamin et al.•Maternal and Child Health Journal•2009

  • Comparing Postpartum Care Utilization from Medicaid Claims and the Pregnancy Risk Assessment Monitoring System in Wisconsin, 2011–2015

    Open Access•Carla L Desisto, Angela Rohan et al.•Maternal and Child Health Journal•2021

  • Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes

    William J Hall, Mimi V Chapman et al.•American Journal of Public Health•2015

  • Examining Race and Ethnicity Information in Medicare Administrative Data

    Clara E Filice, Karen E Joynt•Medical Care•2017

  • Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records

    Open Access•Katsushi Imai, Kabir Khanna•Political Analysis•2016

Velocidad de citaciónhistorical
Altamente citadoNo
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