Rates of labor induction without medical indication are overestimated when derived from birth certificate data
Objective The purpose of this study was to determine the rates of late preterm inductions without a medical indication from birth certificate data and to compare them with rates that were obtained from medical charts. Study Design The Ohio Perinatal Quality Collaborative, which comprises 20 hospital...
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Veröffentlicht in: | American journal of obstetrics and gynecology 2010-09, Vol.203 (3), p.269.e1-269.e3 |
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container_title | American journal of obstetrics and gynecology |
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creator | Bailit, Jennifer L., MD, MPH |
description | Objective The purpose of this study was to determine the rates of late preterm inductions without a medical indication from birth certificate data and to compare them with rates that were obtained from medical charts. Study Design The Ohio Perinatal Quality Collaborative, which comprises 20 hospitals in Ohio that came together in 2008 for the purpose of decreasing nonmedically indicated scheduled deliveries, abstracted data on all scheduled births between 36 weeks and 38 weeks 6 days of gestation. We compared labor inductions with “elective” documented or no indication documented in charts to birth certificate data for inductions with no maternal or fetal complications recorded. Results Birth certificates overestimate rates of induction without medical indication compared with chart abstraction (11% vs 1%; P < .0001). The monthly difference between chart abstraction and birth certificates averages 10.1%. Conclusion Birth certificates overestimate nonmedically indicated inductions by 11-fold. Until birth certificate data improve, nonmedically indicated induction rates that are calculated from birth certificates should be interpreted with caution. |
doi_str_mv | 10.1016/j.ajog.2010.07.004 |
format | Article |
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Study Design The Ohio Perinatal Quality Collaborative, which comprises 20 hospitals in Ohio that came together in 2008 for the purpose of decreasing nonmedically indicated scheduled deliveries, abstracted data on all scheduled births between 36 weeks and 38 weeks 6 days of gestation. We compared labor inductions with “elective” documented or no indication documented in charts to birth certificate data for inductions with no maternal or fetal complications recorded. Results Birth certificates overestimate rates of induction without medical indication compared with chart abstraction (11% vs 1%; P < .0001). The monthly difference between chart abstraction and birth certificates averages 10.1%. Conclusion Birth certificates overestimate nonmedically indicated inductions by 11-fold. Until birth certificate data improve, nonmedically indicated induction rates that are calculated from birth certificates should be interpreted with caution.</description><identifier>ISSN: 0002-9378</identifier><identifier>EISSN: 1097-6868</identifier><identifier>DOI: 10.1016/j.ajog.2010.07.004</identifier><identifier>PMID: 20816150</identifier><identifier>CODEN: AJOGAH</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Biological and medical sciences ; birth certificate ; Birth Certificates ; Delivery. Postpartum. Lactation ; Female ; Gestational Age ; Gynecology. Andrology. Obstetrics ; Humans ; induction of labor ; Labor, Induced - statistics & numerical data ; Medical Audit ; medical indication ; Medical Records ; Medical sciences ; Obstetrics and Gynecology ; Ohio ; Pregnancy ; Quality Control</subject><ispartof>American journal of obstetrics and gynecology, 2010-09, Vol.203 (3), p.269.e1-269.e3</ispartof><rights>Mosby, Inc.</rights><rights>2010 Mosby, Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright 2010 Mosby, Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c484t-f62df7310ada1ff6c734dd7ffadc525556401d18009fc5c3d694379c79172d493</citedby><cites>FETCH-LOGICAL-c484t-f62df7310ada1ff6c734dd7ffadc525556401d18009fc5c3d694379c79172d493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ajog.2010.07.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,780,784,789,790,3550,23930,23931,25140,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23227843$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20816150$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bailit, Jennifer L., MD, MPH</creatorcontrib><creatorcontrib>Ohio Perinatal Quality Collaborative</creatorcontrib><title>Rates of labor induction without medical indication are overestimated when derived from birth certificate data</title><title>American journal of obstetrics and gynecology</title><addtitle>Am J Obstet Gynecol</addtitle><description>Objective The purpose of this study was to determine the rates of late preterm inductions without a medical indication from birth certificate data and to compare them with rates that were obtained from medical charts. Study Design The Ohio Perinatal Quality Collaborative, which comprises 20 hospitals in Ohio that came together in 2008 for the purpose of decreasing nonmedically indicated scheduled deliveries, abstracted data on all scheduled births between 36 weeks and 38 weeks 6 days of gestation. We compared labor inductions with “elective” documented or no indication documented in charts to birth certificate data for inductions with no maternal or fetal complications recorded. Results Birth certificates overestimate rates of induction without medical indication compared with chart abstraction (11% vs 1%; P < .0001). The monthly difference between chart abstraction and birth certificates averages 10.1%. Conclusion Birth certificates overestimate nonmedically indicated inductions by 11-fold. Until birth certificate data improve, nonmedically indicated induction rates that are calculated from birth certificates should be interpreted with caution.</description><subject>Biological and medical sciences</subject><subject>birth certificate</subject><subject>Birth Certificates</subject><subject>Delivery. Postpartum. Lactation</subject><subject>Female</subject><subject>Gestational Age</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Humans</subject><subject>induction of labor</subject><subject>Labor, Induced - statistics & numerical data</subject><subject>Medical Audit</subject><subject>medical indication</subject><subject>Medical Records</subject><subject>Medical sciences</subject><subject>Obstetrics and Gynecology</subject><subject>Ohio</subject><subject>Pregnancy</subject><subject>Quality Control</subject><issn>0002-9378</issn><issn>1097-6868</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kt9rFDEQx4Mo9lr9B3yQvEif9pxkf2QDIpRSq1AQ_PEccsnEy7q3qUn2Sv97s95poQ8-TSbz_Q6TT4aQVwzWDFj3dljrIfxYcygXINYAzROyYiBF1fVd_5SsAIBXshb9CTlNaVhSLvlzcsKhZx1rYUWmLzpjosHRUW9CpH6ys8k-TPTO522YM92h9UaPS6XEPyUdkYY9RkzZ74rf0rstTtRi9PuSuBh2dONj3lKDMXu3-JBanfUL8szpMeHLYzwj3z9cfbv8WN18vv50eXFTmaZvcuU6bp2oGWirmXOdEXVjrXBOW9Pytm27BphlPYB0pjW17WRTC2mEZILbRtZn5PzQ9zaGX3OZU-18MjiOesIwJyXaWsqWN6Io-UFpYkgpolO3sTwq3isGasGsBrVgVgtmBUIVzMX0-th-3hQ-_yx_uRbBm6NApwLPRT0Znx50Neeib-qie3fQYYGx9xhVMh4nU5hHNFnZ4P8_x_tHdjP6afmun3iPaQhznApmxVTiCtTXZQOWfWDl0HelwW-tb7FT</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Bailit, Jennifer L., MD, MPH</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20100901</creationdate><title>Rates of labor induction without medical indication are overestimated when derived from birth certificate data</title><author>Bailit, Jennifer L., MD, MPH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c484t-f62df7310ada1ff6c734dd7ffadc525556401d18009fc5c3d694379c79172d493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Biological and medical sciences</topic><topic>birth certificate</topic><topic>Birth Certificates</topic><topic>Delivery. Postpartum. Lactation</topic><topic>Female</topic><topic>Gestational Age</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Humans</topic><topic>induction of labor</topic><topic>Labor, Induced - statistics & numerical data</topic><topic>Medical Audit</topic><topic>medical indication</topic><topic>Medical Records</topic><topic>Medical sciences</topic><topic>Obstetrics and Gynecology</topic><topic>Ohio</topic><topic>Pregnancy</topic><topic>Quality Control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bailit, Jennifer L., MD, MPH</creatorcontrib><creatorcontrib>Ohio Perinatal Quality Collaborative</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of obstetrics and gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bailit, Jennifer L., MD, MPH</au><aucorp>Ohio Perinatal Quality Collaborative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rates of labor induction without medical indication are overestimated when derived from birth certificate data</atitle><jtitle>American journal of obstetrics and gynecology</jtitle><addtitle>Am J Obstet Gynecol</addtitle><date>2010-09-01</date><risdate>2010</risdate><volume>203</volume><issue>3</issue><spage>269.e1</spage><epage>269.e3</epage><pages>269.e1-269.e3</pages><issn>0002-9378</issn><eissn>1097-6868</eissn><coden>AJOGAH</coden><abstract>Objective The purpose of this study was to determine the rates of late preterm inductions without a medical indication from birth certificate data and to compare them with rates that were obtained from medical charts. Study Design The Ohio Perinatal Quality Collaborative, which comprises 20 hospitals in Ohio that came together in 2008 for the purpose of decreasing nonmedically indicated scheduled deliveries, abstracted data on all scheduled births between 36 weeks and 38 weeks 6 days of gestation. We compared labor inductions with “elective” documented or no indication documented in charts to birth certificate data for inductions with no maternal or fetal complications recorded. Results Birth certificates overestimate rates of induction without medical indication compared with chart abstraction (11% vs 1%; P < .0001). The monthly difference between chart abstraction and birth certificates averages 10.1%. Conclusion Birth certificates overestimate nonmedically indicated inductions by 11-fold. Until birth certificate data improve, nonmedically indicated induction rates that are calculated from birth certificates should be interpreted with caution.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>20816150</pmid><doi>10.1016/j.ajog.2010.07.004</doi><tpages>2</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biological and medical sciences birth certificate Birth Certificates Delivery. Postpartum. Lactation Female Gestational Age Gynecology. Andrology. Obstetrics Humans induction of labor Labor, Induced - statistics & numerical data Medical Audit medical indication Medical Records Medical sciences Obstetrics and Gynecology Ohio Pregnancy Quality Control |
title | Rates of labor induction without medical indication are overestimated when derived from birth certificate data |
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