1. Maternal Opioids Usage and Cesarean Delivery Rates: A Retrospective Cross-Sectional Analysis
- Author
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Knoll, Carolyn, Massa-Buck, Beri, Abdelatif, Dinan, Madkour, Amr, and Mohamed, Mohamed
- Subjects
Cesarean section -- Causes of ,Opioids -- Complications and side effects ,Pregnant women -- Drug use ,Health care industry - Abstract
Objective The growing opioid crisis increasingly affects maternal care in the US and it is unknown if opioid use puts pregnant women at increased odds for cesarean delivery (CD). Understanding how opioids influence CD trends is important in improving maternal and neonatal outcomes. This study aims to understand the association of opioid use with CD in the context of the demographic, clinical, behavioral, and health system complexity. Methods This retrospective cross-sectional analysis used representative data from the 2012-2014 National Inpatient Sample. Opioid use during pregnancy, CD, and other clinical variables were identified using ICD9 codes. Characteristics were assessed using bivariate and multivariate statistics. A logistic regression model was used to determine the association between opioid use and CD while controlling for confounders. Adjustments were made for rural/urban hospital location, regional median income, maternal age, race, and medical and pregnancy-related conditions. Results The rate of CD in the overall sample was about 30%. Among opioids-users, the overall proportion of CD was significantly less (24.7%). The adjusted odds ratio for CD among opioids users was 0.74 (CI: 0.73-0.76, p < 0.001). This finding is unique to pregnant women who are covered by public insurance. In rural areas, the relationship between opioid use and CD was not significant. Conclusion Opioid use during pregnancy is associated with lower CD rates in urban settings. This evidence suggests that maternal care varies between rural and urban areas in relation to CD of pregnant opioid users compared to non-opioid users., Author(s): Carolyn Knoll [sup.1] , Beri Massa-Buck [sup.2] , Dinan Abdelatif [sup.2] , Amr Madkour [sup.3] , Mohamed Mohamed [sup.2] [sup.3] [sup.4] Author Affiliations: (1) grid.253615.6, 0000 0004 1936 9510, [...]
- Published
- 2021
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