| Estimating the proportion of unnecessary Cesarean sections in Ohio using birth certificate data. | |
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MedLine Citation:
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PMID: 10086827 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The main objective of the study is to present a method that estimates the proportion of unnecessary Cesarean sections (C-sections) using birth certificate data. This population-based cross-sectional study uses two major databases--Ohio birth certificates and Medicaid eligibility files--and includes singleton infants born during the period July 1991 through June 1993 (n = 262,013). A total of 57 variables indicative of adverse events, including maternal medical risk factors, complications of labor and delivery, and congenital anomalies that are available on the birth certificate, are examined to estimate the rate of unnecessary C-sections. The results obtained through this method indicate that nearly 40% of the repeat C-sections had no documented abnormalities on the birth certificate to justify a C-section. Because studies using medical records have yielded similar results, we believe that using birth certificate data may be a reliable method to measure and monitor the rate of unnecessary C-sections. |
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Authors:
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S M Koroukian; B Trisel; A A Rimm |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, P.H.S. |
Journal Detail:
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Title: Journal of clinical epidemiology Volume: 51 ISSN: 0895-4356 ISO Abbreviation: J Clin Epidemiol Publication Date: 1998 Dec |
Date Detail:
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Created Date: 1999-04-07 Completed Date: 1999-04-07 Revised Date: 2007-11-14 |
Medline Journal Info:
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Nlm Unique ID: 8801383 Medline TA: J Clin Epidemiol Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 1327-34 Citation Subset: IM |
Affiliation:
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Department of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Analysis of Variance Birth Certificates* Birth Weight Cesarean Section / statistics & numerical data, utilization* Cesarean Section, Repeat / statistics & numerical data, utilization Cross-Sectional Studies Female Humans Infant, Newborn Medicaid Ohio / epidemiology Pregnancy Pregnancy Complications / epidemiology Prevalence Risk Factors United States Unnecessary Procedures / statistics & numerical data* |
| Grant Support | |
ID/Acronym/Agency:
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HS00059/HS/AHRQ HHS |
| Comments/Corrections | |
Erratum In:
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J Clin Epidemiol 1999 Apr;52(4):379 |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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