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Evaluating rates and factors associated with cesarean section and inpatient cost among low-risk deliveries in selected U.S. states.

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Title: Evaluating rates and factors associated with cesarean section and inpatient cost among low-risk deliveries in selected U.S. states.
Authors: Dun C; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. cdun1@jhmi.edu.; Department of Surgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St. Blalock 665, Baltimore, MD, 21287, USA. cdun1@jhmi.edu., Zhang S; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Wei S; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Aziz KB; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA., Kharrazi H; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Johns Hopkins Center for Population Health IT, Baltimore, MD, USA.
Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2025 Oct 07; Vol. 25 (1), pp. 1036. Date of Electronic Publication: 2025 Oct 07.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393 (Electronic) Linking ISSN: 14712393 NLM ISO Abbreviation: BMC Pregnancy Childbirth Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Dun+C%22">Dun C</searchLink>; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. cdun1@jhmi.edu.; Department of Surgery, Johns Hopkins University School of Medicine, 600 N. Wolfe St. Blalock 665, Baltimore, MD, 21287, USA. cdun1@jhmi.edu.<br /><searchLink fieldCode="AU" term="%22Zhang+S%22">Zhang S</searchLink>; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Wei+S%22">Wei S</searchLink>; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Aziz+KB%22">Aziz KB</searchLink>; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Kharrazi+H%22">Kharrazi H</searchLink>; Biomedical Informatics and Data Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Johns Hopkins Center for Population Health IT, Baltimore, MD, USA.
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  Data: <searchLink fieldCode="JN" term="%22100967799%22">BMC pregnancy and childbirth</searchLink> [BMC Pregnancy Childbirth] 2025 Oct 07; Vol. 25 (1), pp. 1036. <i>Date of Electronic Publication: </i>2025 Oct 07.
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        Value: 10.1186/s12884-025-08148-0
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