{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T15:11:02Z","timestamp":1774451462150,"version":"3.50.1"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T00:00:00Z","timestamp":1641945600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100007928","name":"Perelman School of Medicine at the University of Pennsylvania","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007928","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The purpose of this study was to measure the association between neighborhood deprivation and cesarean delivery following labor induction among people delivering at term (\u226537\u2009weeks of gestation).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We conducted a retrospective cohort study of people \u226537\u2009weeks of gestation, with a live, singleton gestation, who underwent labor induction from 2010 to 2017 at Penn Medicine. We excluded people with a prior cesarean delivery and those with missing geocoding information. Our primary exposure was a nationally validated Area Deprivation Index with scores ranging from 1 to 100 (least to most deprived). We used a generalized linear mixed model to calculate the odds of postinduction cesarean delivery among people in 4 equally-spaced levels of neighborhood deprivation. We also conducted a sensitivity analysis with residential mobility.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Our cohort contained 8672 people receiving an induction at Penn Medicine. After adjustment for confounders, we found that people living in the most deprived neighborhoods were at a 29% increased risk of post\u2013induction cesarean delivery (adjusted odds ratio\u2009=\u20091.29, 95% confidence interval, 1.05\u20131.57) compared to the least deprived. In a sensitivity analysis, including residential mobility seemed to magnify the effect sizes of the association between neighborhood deprivation and postinduction cesarean delivery, but this information was only available for a subset of people.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>People living in neighborhoods with higher deprivation had higher odds of postinduction cesarean delivery compared to people living in less deprived neighborhoods. This work represents an important first step in understanding the impact of disadvantaged neighborhoods on adverse delivery outcomes.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocab258","type":"journal-article","created":{"date-parts":[[2021,11,5]],"date-time":"2021-11-05T12:20:54Z","timestamp":1636114854000},"page":"329-334","source":"Crossref","is-referenced-by-count":9,"title":["Neighborhood deprivation increases the risk of\u00a0Post-induction cesarean delivery"],"prefix":"10.1093","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0934-2483","authenticated-orcid":false,"given":"Jessica R","family":"Meeker","sequence":"first","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"}]},{"given":"Heather H","family":"Burris","sequence":"additional","affiliation":[{"name":"Center for Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Divsion of Neonatology, Children\u2019s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Ray","family":"Bai","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of South Carolina, Columbia, South Carolina, USA"}]},{"given":"Lisa D","family":"Levine","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8576-6408","authenticated-orcid":false,"given":"Mary Regina","family":"Boland","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Center for Excellence in Environmental Toxicology, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"},{"name":"Department of Biomedical and Health Informatics, Children\u2019s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]}],"member":"286","published-online":{"date-parts":[[2022,1,12]]},"reference":[{"key":"2022011313562800900_ocab258-B1"},{"key":"2022011313562800900_ocab258-B2","volume-title":"Recommendations for Induction of 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