Sex disparities among persons receiving operative care during armed conflicts

Background Armed conflict increasingly involves civilian populations, and health care needs may be immense. We hypothesized that sex disparities may exist among persons receiving operative care in conflict zones and sought to describe predictors of disparity. Methods We performed a retrospective ana...

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Veröffentlicht in:Surgery 2017-08, Vol.162 (2), p.366-376
Hauptverfasser: Forrester, Joseph D., MD, MSc, Forrester, Jared A., MD, Basimouneye, Jean-Paul, MD, Tahir, Mohammad-Zahir, MD, Trelles, Miguel, MD, PhD, Kushner, Adam L., MD, MPH, Wren, Sherry M., MD
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container_end_page 376
container_issue 2
container_start_page 366
container_title Surgery
container_volume 162
creator Forrester, Joseph D., MD, MSc
Forrester, Jared A., MD
Basimouneye, Jean-Paul, MD
Tahir, Mohammad-Zahir, MD
Trelles, Miguel, MD, PhD
Kushner, Adam L., MD, MPH
Wren, Sherry M., MD
description Background Armed conflict increasingly involves civilian populations, and health care needs may be immense. We hypothesized that sex disparities may exist among persons receiving operative care in conflict zones and sought to describe predictors of disparity. Methods We performed a retrospective analysis of operative interventions performed between 2008 and 2014 at Médecins Sans Frontières Operation Center Brussels conflict projects. A Médecins Sans Frontières Operation Center Brussels conflict project was defined as a program established in response to human conflict, war, or social unrest. Intervention- and country-level variables were evaluated. For multivariate analysis, multilevel mixed-effects logistic regression was used with random-effect modeling to account for clustering and population differences in conflict zones. Results Between 2008 and 2014, 49,715 interventions were performed in conflict zones by Médecins Sans Frontières Operation Center Brussels. Median patient age was 24 years (range: 1–105 years), and 34,436 (69%) were men. Patient-level variables associated with decreased interventions on women included: American Society of Anesthesiologists score ( P  = .003), degree of urgency ( P  = .02), mechanism ( P  
doi_str_mv 10.1016/j.surg.2017.03.001
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We hypothesized that sex disparities may exist among persons receiving operative care in conflict zones and sought to describe predictors of disparity. Methods We performed a retrospective analysis of operative interventions performed between 2008 and 2014 at Médecins Sans Frontières Operation Center Brussels conflict projects. A Médecins Sans Frontières Operation Center Brussels conflict project was defined as a program established in response to human conflict, war, or social unrest. Intervention- and country-level variables were evaluated. For multivariate analysis, multilevel mixed-effects logistic regression was used with random-effect modeling to account for clustering and population differences in conflict zones. Results Between 2008 and 2014, 49,715 interventions were performed in conflict zones by Médecins Sans Frontières Operation Center Brussels. Median patient age was 24 years (range: 1–105 years), and 34,436 (69%) were men. Patient-level variables associated with decreased interventions on women included: American Society of Anesthesiologists score ( P  = .003), degree of urgency ( P  = .02), mechanism ( P  &lt; .0001), and a country's predominant religion ( P  = .006). Men were 1.7 times more likely to have an operative intervention in a predominantly Muslim country ( P  = .006). Conclusion Conflict is an unfortunate consequence of humanity in a world with limited resources. For most operative interventions performed in conflict zones, men were more commonly represented. Predominant religion was the greatest predictor of increased disparity between sexes, irrespective of the number of patients presenting as a result of traumatic injury. It is critical to understand what factors may underlie this disparity to ensure equitable and appropriate care for all patients in an already tragic situation.</description><identifier>ISSN: 0039-6060</identifier><identifier>EISSN: 1532-7361</identifier><identifier>DOI: 10.1016/j.surg.2017.03.001</identifier><identifier>PMID: 28400124</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Armed Conflicts ; Child ; Child, Preschool ; Female ; Healthcare Disparities - statistics &amp; numerical data ; Humans ; Infant ; Logistic Models ; Male ; Middle Aged ; Patient Selection ; Retrospective Studies ; Sex Factors ; Surgery ; Surgical Procedures, Operative - statistics &amp; numerical data ; Young Adult</subject><ispartof>Surgery, 2017-08, Vol.162 (2), p.366-376</ispartof><rights>Elsevier Inc.</rights><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-e25826b4eb1d2c85efdd6b0bfdde0e7fd9d30e065d267fbe1570f5adfe11d0ad3</citedby><cites>FETCH-LOGICAL-c411t-e25826b4eb1d2c85efdd6b0bfdde0e7fd9d30e065d267fbe1570f5adfe11d0ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.surg.2017.03.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28400124$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Forrester, Joseph D., MD, MSc</creatorcontrib><creatorcontrib>Forrester, Jared A., MD</creatorcontrib><creatorcontrib>Basimouneye, Jean-Paul, MD</creatorcontrib><creatorcontrib>Tahir, Mohammad-Zahir, MD</creatorcontrib><creatorcontrib>Trelles, Miguel, MD, PhD</creatorcontrib><creatorcontrib>Kushner, Adam L., MD, MPH</creatorcontrib><creatorcontrib>Wren, Sherry M., MD</creatorcontrib><title>Sex disparities among persons receiving operative care during armed conflicts</title><title>Surgery</title><addtitle>Surgery</addtitle><description>Background Armed conflict increasingly involves civilian populations, and health care needs may be immense. We hypothesized that sex disparities may exist among persons receiving operative care in conflict zones and sought to describe predictors of disparity. Methods We performed a retrospective analysis of operative interventions performed between 2008 and 2014 at Médecins Sans Frontières Operation Center Brussels conflict projects. A Médecins Sans Frontières Operation Center Brussels conflict project was defined as a program established in response to human conflict, war, or social unrest. Intervention- and country-level variables were evaluated. For multivariate analysis, multilevel mixed-effects logistic regression was used with random-effect modeling to account for clustering and population differences in conflict zones. Results Between 2008 and 2014, 49,715 interventions were performed in conflict zones by Médecins Sans Frontières Operation Center Brussels. Median patient age was 24 years (range: 1–105 years), and 34,436 (69%) were men. Patient-level variables associated with decreased interventions on women included: American Society of Anesthesiologists score ( P  = .003), degree of urgency ( P  = .02), mechanism ( P  &lt; .0001), and a country's predominant religion ( P  = .006). Men were 1.7 times more likely to have an operative intervention in a predominantly Muslim country ( P  = .006). Conclusion Conflict is an unfortunate consequence of humanity in a world with limited resources. For most operative interventions performed in conflict zones, men were more commonly represented. Predominant religion was the greatest predictor of increased disparity between sexes, irrespective of the number of patients presenting as a result of traumatic injury. It is critical to understand what factors may underlie this disparity to ensure equitable and appropriate care for all patients in an already tragic situation.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Armed Conflicts</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Female</subject><subject>Healthcare Disparities - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Infant</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Patient Selection</subject><subject>Retrospective Studies</subject><subject>Sex Factors</subject><subject>Surgery</subject><subject>Surgical Procedures, Operative - statistics &amp; numerical data</subject><subject>Young Adult</subject><issn>0039-6060</issn><issn>1532-7361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU-L1EAQxRtR3HH1C3iQHL0kVnUnnQREkMV_sOJh9dx0uitLj5n02JUMu9_eDrN68OCp4PHeg_o9IV4iVAio3-wrXtNtJQHbClQFgI_EDhsly1ZpfCx2AKovNWi4EM-Y9wDQ19g9FReyq7Nb1jvx9YbuCh_4aFNYAnFhD3G-LY6UOM5cJHIUTiErMUt2CScqnE1U-DVtqk0H8oWL8zgFt_Bz8WS0E9OLh3spfnz88P3qc3n97dOXq_fXpasRl5Jk00k91DSgl65raPReDzDkQ0Dt6HuvgEA3Xup2HAibFsbG-pEQPVivLsXrc-8xxV8r8WIOgR1Nk50prmyw61poEPo-W-XZ6lJkTjSaYwoHm-4Ngtkwmr3ZMJoNowFlMpgcevXQvw75wb-RP9yy4e3ZQPnLU6Bk2AWaHfmQkS3Gx_D__nf_xN0U5uDs9JPuifdxTXPmZ9CwNGButiG3HbFVgI3U6jfg15qW</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Forrester, Joseph D., MD, MSc</creator><creator>Forrester, Jared A., MD</creator><creator>Basimouneye, Jean-Paul, MD</creator><creator>Tahir, Mohammad-Zahir, MD</creator><creator>Trelles, Miguel, MD, PhD</creator><creator>Kushner, Adam L., MD, MPH</creator><creator>Wren, Sherry M., MD</creator><general>Elsevier Inc</general><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>20170801</creationdate><title>Sex disparities among persons receiving operative care during armed conflicts</title><author>Forrester, Joseph D., MD, MSc ; Forrester, Jared A., MD ; Basimouneye, Jean-Paul, MD ; Tahir, Mohammad-Zahir, MD ; Trelles, Miguel, MD, PhD ; Kushner, Adam L., MD, MPH ; Wren, Sherry M., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-e25826b4eb1d2c85efdd6b0bfdde0e7fd9d30e065d267fbe1570f5adfe11d0ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Armed Conflicts</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Female</topic><topic>Healthcare Disparities - statistics &amp; numerical data</topic><topic>Humans</topic><topic>Infant</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Patient Selection</topic><topic>Retrospective Studies</topic><topic>Sex Factors</topic><topic>Surgery</topic><topic>Surgical Procedures, Operative - statistics &amp; numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Forrester, Joseph D., MD, MSc</creatorcontrib><creatorcontrib>Forrester, Jared A., MD</creatorcontrib><creatorcontrib>Basimouneye, Jean-Paul, MD</creatorcontrib><creatorcontrib>Tahir, Mohammad-Zahir, MD</creatorcontrib><creatorcontrib>Trelles, Miguel, MD, PhD</creatorcontrib><creatorcontrib>Kushner, Adam L., MD, MPH</creatorcontrib><creatorcontrib>Wren, Sherry M., MD</creatorcontrib><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>Surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Forrester, Joseph D., MD, MSc</au><au>Forrester, Jared A., MD</au><au>Basimouneye, Jean-Paul, MD</au><au>Tahir, Mohammad-Zahir, MD</au><au>Trelles, Miguel, MD, PhD</au><au>Kushner, Adam L., MD, MPH</au><au>Wren, Sherry M., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sex disparities among persons receiving operative care during armed conflicts</atitle><jtitle>Surgery</jtitle><addtitle>Surgery</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>162</volume><issue>2</issue><spage>366</spage><epage>376</epage><pages>366-376</pages><issn>0039-6060</issn><eissn>1532-7361</eissn><abstract>Background Armed conflict increasingly involves civilian populations, and health care needs may be immense. We hypothesized that sex disparities may exist among persons receiving operative care in conflict zones and sought to describe predictors of disparity. Methods We performed a retrospective analysis of operative interventions performed between 2008 and 2014 at Médecins Sans Frontières Operation Center Brussels conflict projects. A Médecins Sans Frontières Operation Center Brussels conflict project was defined as a program established in response to human conflict, war, or social unrest. Intervention- and country-level variables were evaluated. For multivariate analysis, multilevel mixed-effects logistic regression was used with random-effect modeling to account for clustering and population differences in conflict zones. Results Between 2008 and 2014, 49,715 interventions were performed in conflict zones by Médecins Sans Frontières Operation Center Brussels. Median patient age was 24 years (range: 1–105 years), and 34,436 (69%) were men. Patient-level variables associated with decreased interventions on women included: American Society of Anesthesiologists score ( P  = .003), degree of urgency ( P  = .02), mechanism ( P  &lt; .0001), and a country's predominant religion ( P  = .006). Men were 1.7 times more likely to have an operative intervention in a predominantly Muslim country ( P  = .006). Conclusion Conflict is an unfortunate consequence of humanity in a world with limited resources. For most operative interventions performed in conflict zones, men were more commonly represented. Predominant religion was the greatest predictor of increased disparity between sexes, irrespective of the number of patients presenting as a result of traumatic injury. It is critical to understand what factors may underlie this disparity to ensure equitable and appropriate care for all patients in an already tragic situation.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28400124</pmid><doi>10.1016/j.surg.2017.03.001</doi><tpages>11</tpages></addata></record>
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subjects Adolescent
Adult
Aged
Aged, 80 and over
Armed Conflicts
Child
Child, Preschool
Female
Healthcare Disparities - statistics & numerical data
Humans
Infant
Logistic Models
Male
Middle Aged
Patient Selection
Retrospective Studies
Sex Factors
Surgery
Surgical Procedures, Operative - statistics & numerical data
Young Adult
title Sex disparities among persons receiving operative care during armed conflicts
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