Uptake of Recommended Vaccines During Pregnancy Among Publicly and Privately Insured People in the United States, December 2020–September 2022

Datos Bibliográficos

ID11024757
AutoresStacey L Rowe (0000-0002-9226-1376, Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Rese), Sheena G Sullivan (0000-0002-0856-0294, Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Rese), Flor M Munoz (0000-0002-0457-7689, Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Rese), Matthew M Coates (0000-0002-8474-4992, Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Rese), Onyebuchi A Arah (0000-0002-9067-1697, Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Rese), Annette K Regan (0000-0002-3879-6193, Stacey L. Rowe is with the School of Nursing and Health Professions, University of San Francisco, San Francisco, CA. Sheena G. Sullivan is with the School of Clinical Sciences, Monash University, Melbourne, Australia. Flor M. Munoz is with the Department of Pediatrics, Baylor College of Medicine, Houston, TX. Matthew M. Coates and Onyebuchi A. Arah are with the Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles. Annette K. Regan is with the Department of Rese)
Año2025
Volumen115
Número3
Páginas354-363
Fecha de publicación2025-03-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaAmerican Journal of Public Health (JOURNAL)
Identificadores de la revistaISSN: 0090-0036 • E-ISSN: 1541-0048
EditorialAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2024.307899
PMID39847749
OpenAlexW4406750884
IdiomaEN
Referencias citadas29

Objectives. To estimate maternal COVID-19, influenza, and pertussis vaccine uptake during pregnancy by insurance type and identify factors characterizing those vaccinated and unvaccinated. Methods. We conducted a US cohort study of pregnant individuals (for pregnancies ending December 11, 2020–September 30, 2022) using insurance claims data. We calculated vaccination probability using Kaplan-Meier methods and identified factors associated with vaccination through binomial regression with inverse probability weights. Results. Among 695 887 pregnant individuals (median age = 32 years for privately and 27 years for publicly insured), the cumulative probability of COVID-19 vaccination was 43.0% (privately insured) and 11.8% (publicly insured). We observed marked disparities between influenza (33.2% vs 14.2%) and pertussis (70.3% vs 42.8%) vaccination. Only 6.8% (privately insured) and 1.1% (publicly insured) received all 3 vaccines. COVID-19 and influenza vaccination odds were lower among drug and tobacco users. People with high-risk medical conditions, particularly the publicly insured, commonly were vaccinated. Conclusions. Marked vaccine uptake disparities exist between privately and publicly insured pregnant people. Understanding structural barriers, particularly for Medicaid enrollees, is critical to improving maternal vaccine access. ( Am J Public Health. 2025;115(3):354–363. https://doi.org/10.2105/AJPH.2024.307899 )

Coronavirus disease 2019 (COVID-19) · Disease · Environmental health · Family medicine · Health care · Immunization · Logistic regression · Medicaid · Odds · Odds ratio · Pandemic · Pertussis vaccine · Pregnancy · Public health · Vaccination · COVID-19 Impact on Reproduction · Demography · Global Maternal and Child Health · Immunology · Internal Medicine · Medicine · Pregnancy and Medication Impact · Virology