{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T01:39:00Z","timestamp":1793065140190,"version":"4.5.0"},"reference-count":50,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Women's Health"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Racial\/ethnic disparities are evident in adverse maternal health outcomes, but they are shifting due to interventions, initiatives, changing demographics, and the prevalence of preexisting conditions. This study examined the current racial\/ethnic disparities in adverse maternal outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>In a cross-sectional study, the International Classification of Diseases-10 codes for the principal diagnosis and secondary diagnoses were retrieved from the National Inpatient Sample database (2016\u20132018). A weighted multiple logistic regression model assessed disparities in seven adverse maternal outcomes, including preterm labor, gestational hypertension (GHTN) and diabetes, premature rupture of membranes (PRM), infection of the amniotic cavity (INFAC), placental abruption, and postpartum hemorrhage (PPH). A weighted linear regression model assessed disparities in a composite variable of maternal outcomes. A maternal-specific comorbidity index assessed risk adjustment, and other clinical, sociodemographic, and hospital factors were considered.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>A total of 2,211,345 pregnancies were included. Preterm labor, GHTN, and placental abruption had the highest raw rate among Black women compared to all races. After adjusting for control variables in the regression analysis, these adverse outcomes also showed the highest odds ratio (OR) among Black women compared to White women (the reference group). Gestational diabetes, PRM, and INFAC had the highest raw rate among Asians\/Pacific Islanders (PIs). After adjusting for control variables, these adverse outcomes also showed the highest OR among Asians\/PIs compared to White women. The OR for PPH was the highest for Native Americans compared to White women. Furthermore, results of the composite outcome variable indicated that all minority groups experienced the overall poorer maternal outcome than White women.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Overall, all four minority women had higher raw rates and also odds of experiencing the studied adverse outcomes than White women. Existing efforts should be strengthened to continue reducing racial\/ethnic disparities in adverse maternal outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/jwh.2021.0495","type":"journal-article","created":{"date-parts":[[2022,6,8]],"date-time":"2022-06-08T17:08:27Z","timestamp":1654708107000},"page":"1432-1439","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Disparities in Adverse Maternal Outcomes Among Five Race and Ethnicity Groups"],"prefix":"10.1177","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4993-8329","authenticated-orcid":false,"given":"Jay J.","family":"Shen","sequence":"first","affiliation":[{"name":"Department of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, Nevada, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zahra","family":"Mojtahedi","sequence":"additional","affiliation":[{"name":"Department of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, Nevada, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Vanderlaan","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Nevada, Las Vegas, Nevada, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sfurti","family":"Rathi","sequence":"additional","affiliation":[{"name":"Department of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, Nevada, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2022,10,26]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1089\/jwh.2020.8606"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1097\/GRF.0000000000000349"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1002\/acr.22847"},{"key":"e_1_3_4_5_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.3808"},{"key":"e_1_3_4_6_2","doi-asserted-by":"publisher","DOI":"10.1053\/j.semperi.2017.07.009"},{"key":"e_1_3_4_7_2","first-page":"200","author":"Casagrande SS","unstructured":"Casagrande SS, , Linder B, , Cowie CC. 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