{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T02:59:44Z","timestamp":1780801184451,"version":"3.54.1"},"reference-count":43,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T00:00:00Z","timestamp":1623024000000},"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":["Public Health Rep"],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Maternal morbidity and mortality is a global concern despite advances in medical care and technology and improved economic resources of nations worldwide. The primary objective of our study was to describe racial\/ethnic disparities in severe maternal morbidity by using admission to an intensive care unit (ICU) as a marker. The secondary objective was to evaluate associations between patient characteristics, including obstetric outcomes, and severe maternal morbidity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This retrospective cohort study used a large inpatient database to identify pregnancy and postpartum hospitalizations in Hawai\u2018i from January 2012 through September 2017. We evaluated associations between sociodemographic and clinical characteristics and race\/ethnicity by using \u03c7\n                      <jats:sup>2<\/jats:sup>\n                      tests. We used multivariable logistic regression to assess associations between race\/ethnicity and ICU admission. We used a post hoc analysis to assess associations between ICU admission and obstetric outcomes by race\/ethnicity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>After adjustment, we found a significantly higher ICU admission rate among Asian (adjusted odds ratio [aOR] = 1.30; 95% CI, 1.04-1.62; P = .02), Filipino (aOR = 1.45; 95% CI, 1.17-1.79; P &lt; .001), and Native Hawaiian\/Other Pacific Islander (aOR = 1.39; 95% CI, 1.15-1.68; P &lt; .001) women compared with non-Hispanic White women. Multiple clinical characteristics and outcomes were associated with ICU admission, such as preexisting chronic conditions and pregnancy-induced hypertensive disorders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We found that severe maternal morbidity represented by ICU admission is higher among Asian, Filipino, and Native Hawaiian\/Other Pacific Islander women than among non-Hispanic White women in Hawai\u2019i. Our findings reemphasize the need for health care providers to be vigilant in caring for members of racial\/ethnic minority groups and managing their comorbidities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/00333549211021146","type":"journal-article","created":{"date-parts":[[2021,6,7]],"date-time":"2021-06-07T12:02:26Z","timestamp":1623067346000},"page":"711-720","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Racial\/Ethnic Disparities in Intensive Care Admissions in a Pregnant and Postpartum Population, Hawai\u2018i, 2012-2017"],"prefix":"10.1177","volume":"137","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0877-0985","authenticated-orcid":false,"given":"Pamela","family":"Estrada","sequence":"first","affiliation":[{"name":"Department of Obstetrics, Gynecology, and Women\u2019s Health, University of Hawai\u2018i John A. Burns School of Medicine, Honolulu, HI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1510-1125","authenticated-orcid":false,"given":"Hyeong Jun","family":"Ahn","sequence":"additional","affiliation":[{"name":"Department of Quantitative Health Sciences, University of Hawai\u2018i John A. Burns School of Medicine, Honolulu, HI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7425-325X","authenticated-orcid":false,"given":"Scott A.","family":"Harvey","sequence":"additional","affiliation":[{"name":"Department of Obstetrics, Gynecology, and Women\u2019s Health, University of Hawai\u2018i John A. Burns School of Medicine, Honolulu, HI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,6,7]]},"reference":[{"key":"bibr1-00333549211021146","unstructured":"Prydz EB., Wadwha D. Classifying countries by income. World Bank. 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