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Subjective risk vs. objective risk can lead to different post-cesarean birth decisions based on multiattribute modeling
Abstract Objective To compare birth recommendations for pregnant women with a prior cesarean produced from a decision model using absolute risks vs. one using subjective interpretation of the same risks: (1) a multiattribute decision model based on patient prioritization of risks (subjective risk) a...
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Published in: | Journal of clinical epidemiology 2011, Vol.64 (1), p.67-78 |
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description | Abstract Objective To compare birth recommendations for pregnant women with a prior cesarean produced from a decision model using absolute risks vs. one using subjective interpretation of the same risks: (1) a multiattribute decision model based on patient prioritization of risks (subjective risk) and (2) a hybrid model that used absolute risks (objective risk). Study Design and Setting The subjective risk multiattribute model used the Analytic Hierarchy Process to elicit priorities for maternal risks, neonatal risks, and the delivery experience from 96 postnatal women with a prior cesarean. The hybrid model combined the priorities for delivery experience obtained in the first model with the unadjusted absolute risk values. Results The multiattribute model generated more recommendations for repeat cesarean delivery than the hybrid model: 73% vs. 18%, ( P -value |
doi_str_mv | 10.1016/j.jclinepi.2010.02.011 |
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Study Design and Setting The subjective risk multiattribute model used the Analytic Hierarchy Process to elicit priorities for maternal risks, neonatal risks, and the delivery experience from 96 postnatal women with a prior cesarean. The hybrid model combined the priorities for delivery experience obtained in the first model with the unadjusted absolute risk values. Results The multiattribute model generated more recommendations for repeat cesarean delivery than the hybrid model: 73% vs. 18%, ( P -value <0.001). The multiattribute model favored repeat cesarean because women heavily prioritized avoiding any risk (even rare risk) to the infant. The hybrid model favored the trial of labor because of lower probabilities of risk to the mother and its high success rate of vaginal birth after cesarean. Conclusion This study highlights the importance of patients and clinicians discussing the patient's priorities regarding the risks and other nonclinical considerations that may be important to her in the birthing decision.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2010.02.011</identifier><identifier>PMID: 20558035</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Analytic Hierarchy Process ; Biological and medical sciences ; Cesarean Section - psychology ; Cesarean Section, Repeat - psychology ; Childbirth ; Childbirth & labor ; Choice Behavior ; Decision Support Techniques ; Decision tree ; Delivery. Postpartum. Lactation ; Epidemiology ; Female ; Gynecology. Andrology. Obstetrics ; Health Knowledge, Attitudes, Practice ; Humans ; Hysterectomy ; Internal Medicine ; Medical sciences ; Models, Statistical ; Pain ; Patient Satisfaction - statistics & numerical data ; Pregnancy ; Probability ; Risk communication ; Risk Factors ; Shared decision making ; Surveys and Questionnaires ; Trial of Labor ; Vagina ; Vaginal Birth after Cesarean - psychology ; VBAC</subject><ispartof>Journal of clinical epidemiology, 2011, Vol.64 (1), p.67-78</ispartof><rights>Elsevier Inc.</rights><rights>2011 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-6f23decef74edf22ef8e728d61d3742e6eef3e0c6a0f27e36a2eb6c792694113</citedby><cites>FETCH-LOGICAL-c512t-6f23decef74edf22ef8e728d61d3742e6eef3e0c6a0f27e36a2eb6c792694113</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4022,27922,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23873007$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20558035$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sharma, Poonam S</creatorcontrib><creatorcontrib>Eden, Karen B</creatorcontrib><creatorcontrib>Guise, Jeanne-Marie</creatorcontrib><creatorcontrib>Jimison, Holly B</creatorcontrib><creatorcontrib>Dolan, James G</creatorcontrib><title>Subjective risk vs. objective risk can lead to different post-cesarean birth decisions based on multiattribute modeling</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>Abstract Objective To compare birth recommendations for pregnant women with a prior cesarean produced from a decision model using absolute risks vs. one using subjective interpretation of the same risks: (1) a multiattribute decision model based on patient prioritization of risks (subjective risk) and (2) a hybrid model that used absolute risks (objective risk). Study Design and Setting The subjective risk multiattribute model used the Analytic Hierarchy Process to elicit priorities for maternal risks, neonatal risks, and the delivery experience from 96 postnatal women with a prior cesarean. The hybrid model combined the priorities for delivery experience obtained in the first model with the unadjusted absolute risk values. Results The multiattribute model generated more recommendations for repeat cesarean delivery than the hybrid model: 73% vs. 18%, ( P -value <0.001). The multiattribute model favored repeat cesarean because women heavily prioritized avoiding any risk (even rare risk) to the infant. The hybrid model favored the trial of labor because of lower probabilities of risk to the mother and its high success rate of vaginal birth after cesarean. Conclusion This study highlights the importance of patients and clinicians discussing the patient's priorities regarding the risks and other nonclinical considerations that may be important to her in the birthing decision.</description><subject>Analytic Hierarchy Process</subject><subject>Biological and medical sciences</subject><subject>Cesarean Section - psychology</subject><subject>Cesarean Section, Repeat - psychology</subject><subject>Childbirth</subject><subject>Childbirth & labor</subject><subject>Choice Behavior</subject><subject>Decision Support Techniques</subject><subject>Decision tree</subject><subject>Delivery. Postpartum. Lactation</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Gynecology. Andrology. Obstetrics</subject><subject>Health Knowledge, Attitudes, Practice</subject><subject>Humans</subject><subject>Hysterectomy</subject><subject>Internal Medicine</subject><subject>Medical sciences</subject><subject>Models, Statistical</subject><subject>Pain</subject><subject>Patient Satisfaction - statistics & numerical data</subject><subject>Pregnancy</subject><subject>Probability</subject><subject>Risk communication</subject><subject>Risk Factors</subject><subject>Shared decision making</subject><subject>Surveys and Questionnaires</subject><subject>Trial of Labor</subject><subject>Vagina</subject><subject>Vaginal Birth after Cesarean - psychology</subject><subject>VBAC</subject><issn>0895-4356</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkk1v1DAQhiMEotvCX6gsIcQpwR-J7b0gUEUBqRKH9m459hicJvFiO4v673HYLRW99GRp_Mw7H-9U1TnBDcGEvx-awYx-hp1vKC5BTBtMyLNqQ6SQdbel5Hm1wXLb1S3r-El1mtKAMRFYdC-rE4q7TmLWbarf10s_gMl-Dyj6dIv2qUHh_5DRMxpBW5QDst45iDBntAsp1waSjlD-ex_zT2TB-OTDnFCvE1gUZjQtY_Y65-j7JQOagoXS949X1QunxwSvj-9ZdXP5-ebia331_cu3i09XtekIzTV3lBVRcKIF6ygFJ0FQaTmxTLQUOIBjgA3X2FEBjGsKPTdiS_m2JYSdVe8OsrsYfi2Qspp8MjCOeoawJLXtWk4kY92TpCScyVbylXzziBzCEucyhSKYMdpyzmWh-IEyMaQUwald9JOOdwVSq4VqUPcWqtVChanCf1s-P8ov_QT2X9q9ZwV4ewR0Mnp0Uc9l6w8ck4JhLAr38cBB2e_eQ1TJeJgNWB-LvcoG_3QvHx5JrJQvVW_hDtLD3CqVBHW9Htx6bwSXW8MtZ38ARRfTXA</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Sharma, Poonam S</creator><creator>Eden, Karen B</creator><creator>Guise, Jeanne-Marie</creator><creator>Jimison, Holly B</creator><creator>Dolan, James G</creator><general>Elsevier Inc</general><general>Elsevier</general><general>Elsevier Limited</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>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7RV</scope><scope>7T2</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>7U1</scope><scope>7U2</scope></search><sort><creationdate>2011</creationdate><title>Subjective risk vs. objective risk can lead to different post-cesarean birth decisions based on multiattribute modeling</title><author>Sharma, Poonam S ; Eden, Karen B ; Guise, Jeanne-Marie ; Jimison, Holly B ; Dolan, James G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-6f23decef74edf22ef8e728d61d3742e6eef3e0c6a0f27e36a2eb6c792694113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Analytic Hierarchy Process</topic><topic>Biological and medical sciences</topic><topic>Cesarean Section - psychology</topic><topic>Cesarean Section, Repeat - psychology</topic><topic>Childbirth</topic><topic>Childbirth & labor</topic><topic>Choice Behavior</topic><topic>Decision Support Techniques</topic><topic>Decision tree</topic><topic>Delivery. Postpartum. Lactation</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Gynecology. Andrology. Obstetrics</topic><topic>Health Knowledge, Attitudes, Practice</topic><topic>Humans</topic><topic>Hysterectomy</topic><topic>Internal Medicine</topic><topic>Medical sciences</topic><topic>Models, Statistical</topic><topic>Pain</topic><topic>Patient Satisfaction - statistics & numerical data</topic><topic>Pregnancy</topic><topic>Probability</topic><topic>Risk communication</topic><topic>Risk Factors</topic><topic>Shared decision making</topic><topic>Surveys and Questionnaires</topic><topic>Trial of Labor</topic><topic>Vagina</topic><topic>Vaginal Birth after Cesarean - psychology</topic><topic>VBAC</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sharma, Poonam S</creatorcontrib><creatorcontrib>Eden, Karen B</creatorcontrib><creatorcontrib>Guise, Jeanne-Marie</creatorcontrib><creatorcontrib>Jimison, Holly B</creatorcontrib><creatorcontrib>Dolan, James G</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>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database (ProQuest)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database (Proquest)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest research library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sharma, Poonam S</au><au>Eden, Karen B</au><au>Guise, Jeanne-Marie</au><au>Jimison, Holly B</au><au>Dolan, James G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Subjective risk vs. objective risk can lead to different post-cesarean birth decisions based on multiattribute modeling</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2011</date><risdate>2011</risdate><volume>64</volume><issue>1</issue><spage>67</spage><epage>78</epage><pages>67-78</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>Abstract Objective To compare birth recommendations for pregnant women with a prior cesarean produced from a decision model using absolute risks vs. one using subjective interpretation of the same risks: (1) a multiattribute decision model based on patient prioritization of risks (subjective risk) and (2) a hybrid model that used absolute risks (objective risk). Study Design and Setting The subjective risk multiattribute model used the Analytic Hierarchy Process to elicit priorities for maternal risks, neonatal risks, and the delivery experience from 96 postnatal women with a prior cesarean. The hybrid model combined the priorities for delivery experience obtained in the first model with the unadjusted absolute risk values. Results The multiattribute model generated more recommendations for repeat cesarean delivery than the hybrid model: 73% vs. 18%, ( P -value <0.001). The multiattribute model favored repeat cesarean because women heavily prioritized avoiding any risk (even rare risk) to the infant. The hybrid model favored the trial of labor because of lower probabilities of risk to the mother and its high success rate of vaginal birth after cesarean. Conclusion This study highlights the importance of patients and clinicians discussing the patient's priorities regarding the risks and other nonclinical considerations that may be important to her in the birthing decision.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>20558035</pmid><doi>10.1016/j.jclinepi.2010.02.011</doi><tpages>12</tpages></addata></record> |
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subjects | Analytic Hierarchy Process Biological and medical sciences Cesarean Section - psychology Cesarean Section, Repeat - psychology Childbirth Childbirth & labor Choice Behavior Decision Support Techniques Decision tree Delivery. Postpartum. Lactation Epidemiology Female Gynecology. Andrology. Obstetrics Health Knowledge, Attitudes, Practice Humans Hysterectomy Internal Medicine Medical sciences Models, Statistical Pain Patient Satisfaction - statistics & numerical data Pregnancy Probability Risk communication Risk Factors Shared decision making Surveys and Questionnaires Trial of Labor Vagina Vaginal Birth after Cesarean - psychology VBAC |
title | Subjective risk vs. objective risk can lead to different post-cesarean birth decisions based on multiattribute modeling |
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