{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T14:13:27Z","timestamp":1782310407184,"version":"3.54.5"},"reference-count":45,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T00:00:00Z","timestamp":1712016000000},"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":[[2025,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>This study examines postpartum health care utilization among women with severe maternal morbidity (SMM) subtypes (e.g., blood transfusion, renal), focusing on both early (within 7 days) and late (8\u201342 days) postpartum periods. By including outpatient visits alongside inpatient and emergency department (ED) visits, the study offers a comprehensive view of postpartum health care needs among women with SMM.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>This retrospective cohort study used data from Optum\u2019s de-identified Clinformatics\u00ae Data Mart Database from 2008 to 2019. The primary outcomes were early and late postpartum inpatient readmissions, early and late ED visits, and outpatient care within 42 days after delivery. Multilevel logistic regression models were used to estimate the association between SMM subtypes and postpartum readmission, ED, and outpatient care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Except for hemorrhage, most SMM subtypes increased the postpartum odds of health care utilization. Women with other medical SMM (e.g., puerperal cerebrovascular disorders or sickle cell disease with crisis) had 2.9 times the odds (odds ratio [OR]: 2.87, 95% confidence interval [CI]: 1.30\u20136.34) of experiencing early readmissions compared with those without other medical SMM. Women with sepsis had 4.5-fold elevated odds (OR: 4.53, 95% CI: 2.48\u20138.28) of late readmission, a 1.9-fold increased odds (OR: 1.85, 95% CI: 1.12\u20133.04) of early ED visits, and over a 2-fold increased odds (OR: 2.27, 95% CI: 1.67\u20133.08) of postpartum outpatient visits compared with those without sepsis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>This study reveals that certain SMM subtypes significantly increase postpartum health care utilization, emphasizing the need for further research and interventions to improve outcomes for affected women.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/jwh.2024.0826","type":"journal-article","created":{"date-parts":[[2024,12,9]],"date-time":"2024-12-09T03:39:58Z","timestamp":1733715598000},"page":"539-548","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Severe Maternal Morbidity and Postpartum Care: An Investigation Among a Privately Insured Population in the United States, 2008\u20132019"],"prefix":"10.1177","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3074-1881","authenticated-orcid":false,"given":"Jennifer L.","family":"Matas","sequence":"first","affiliation":[{"name":"Department of Epidemiology, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura E.","family":"Mitchell","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason L.","family":"Salemi","sequence":"additional","affiliation":[{"name":"College of Public Health, University of South Florida, Tampa, Florida, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cici X.","family":"Bauer","sequence":"additional","affiliation":[{"name":"Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA."},{"name":"Center for Spatial-Temporal Modeling for Applications in Population Sciences (CSMAPS), The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cecilia","family":"Ganduglia Cazaban","sequence":"additional","affiliation":[{"name":"Center for Health Care Data, The University of Texas Health Science Center at Houston School of Public Health, Houston, Texas, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,4,2]]},"reference":[{"key":"e_1_3_5_2_2","unstructured":"Centers for Disease Control and Prevention. 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