Volume 53, Issue S3 pp. 5260-5284
Special Issue: Linking VA and Non-VA Data to Address US Veteran Health Services Issues

Selection of Higher Risk Pregnancies into Veterans Health Administration Programs: Discoveries from Linked Department of Veterans Affairs and California Birth Data

Jonathan G. Shaw M.D., M.S.

Corresponding Author

Jonathan G. Shaw M.D., M.S.

Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA

VA HSR&D Center for Innovation to Implementation (Ci2i), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Department of Obstetrics & Gynecology, Stanford University School of Medicine, Stanford, CA

Address correspondence to Jonathan G. Shaw, M.D., M.S., Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA; e-mail: [email protected]. Search for more papers by this author
Vilija R. Joyce M.S.

Vilija R. Joyce M.S.

VA HSR&D Health Economics Resource Center (HERC), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Search for more papers by this author
Susan K. Schmitt Ph.D.

Susan K. Schmitt Ph.D.

VA HSR&D Health Economics Resource Center (HERC), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA

Search for more papers by this author
Susan M. Frayne M.D., M.P.H.

Susan M. Frayne M.D., M.P.H.

Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA

VA HSR&D Center for Innovation to Implementation (Ci2i), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Search for more papers by this author
Kate A. Shaw M.D., M.S.

Kate A. Shaw M.D., M.S.

Department of Obstetrics & Gynecology, Stanford University School of Medicine, Stanford, CA

Search for more papers by this author
Beate Danielsen Ph.D.

Beate Danielsen Ph.D.

Health Information Solutions, Rocklin, CA

Search for more papers by this author
Rachel Kimerling Ph.D.

Rachel Kimerling Ph.D.

VA HSR&D Center for Innovation to Implementation (Ci2i), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

National Center for Post-traumatic Stress Disorder, US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Search for more papers by this author
Steven M. Asch M.D., M.P.H.

Steven M. Asch M.D., M.P.H.

Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, CA

VA HSR&D Center for Innovation to Implementation (Ci2i), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Search for more papers by this author
Ciaran S. Phibbs Ph.D.

Ciaran S. Phibbs Ph.D.

VA HSR&D Center for Innovation to Implementation (Ci2i), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

VA HSR&D Health Economics Resource Center (HERC), US Department of Veterans Affairs, VA Palo Alto Health Care System, Palo Alto, CA

Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA

Search for more papers by this author
First published: 10 September 2018
Citations: 14

Abstract

Objective

To describe variation in payer and outcomes in Veterans’ births.

Data/Setting

Secondary data analyses of deliveries in California, 2000–2012.

Study Design

We performed a retrospective, population-based study of all live births to Veterans (confirmed via U.S. Department of Veterans Affairs (VA) enrollment records), to identify payer and variations in outcomes among: (1) Veterans using VA coverage and (2) Veteran vs. all other births. We calculated odds ratios (aOR) adjusted for age, race, ethnicity, education, and obstetric demographics.

Methods

We anonymously linked VA administrative data for all female VA enrollees with California birth records.

Principal Findings

From 2000 to 2012, we identified 17,495 births to Veterans. VA covered 8.6 percent (1,508), Medicaid 17.3 percent, and Private insurance 47.6 percent. Veterans who relied on VA health coverage had more preeclampsia (aOR 1.4, CI 1.0–1.8) and more cesarean births (aOR 1.2, CI 1.0–1.3), and, despite similar prematurity, trended toward more neonatal intensive care (NICU) admissions (aOR 1.2, CI 1.0–1.4) compared to Veterans using other (non-Medicaid) coverage. Overall, Veterans’ birth outcomes (all-payer) mirrored California's birth outcomes, with the exception of excess NICU care (aOR 1.15, CI 1.1–1.2).

Conclusions

VA covers a higher risk fraction of Veterans’ births, justifying maternal care coordination and attention to the maternal–fetal impacts of Veterans’ comorbidities.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.