Lessons in liability: Examining medical malpractice suits against general surgeons in Maryland
Although medical malpractice lawsuits pose a significant burden, there is a paucity of research on physician-specific characteristics influencing lawsuits against surgeons. Our objective was to identify factors associated with general surgeons being named in malpractice cases. This was a cross secti...
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| Veröffentlicht in: | The American journal of surgery 2023-04, Vol.225 (4), p.748-752 |
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| container_title | The American journal of surgery |
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| creator | Sundel, Margaret H. Blackburn, Kyle W. Seyoum, Nahom Morton, Claire Swartzberg, Allyson Bafford, Andrea C. |
| description | Although medical malpractice lawsuits pose a significant burden, there is a paucity of research on physician-specific characteristics influencing lawsuits against surgeons. Our objective was to identify factors associated with general surgeons being named in malpractice cases.
This was a cross sectional study of Maryland general surgeons, using malpractice data from a publicly accessible judiciary database. Case number per decade and lifetime lawsuit status were modeled with linear and logistic regression.
Male surgeons had a higher average lawsuit volume (p = 0.002) and were more likely to be named in a malpractice case (p |
| doi_str_mv | 10.1016/j.amjsurg.2022.11.008 |
| format | Article |
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This was a cross sectional study of Maryland general surgeons, using malpractice data from a publicly accessible judiciary database. Case number per decade and lifetime lawsuit status were modeled with linear and logistic regression.
Male surgeons had a higher average lawsuit volume (p = 0.002) and were more likely to be named in a malpractice case (p < 0.001). In regression analysis, a second graduate degree was a predictor of average cases per 10 years (p = 0.008) and male gender predicted lifetime lawsuit status (OR = 1.73, p = 0.046).
Male gender was associated with increased odds of being named in a malpractice lawsuit. Identifying this difference is a preliminary step in developing interventions to reduce lawsuits amongst surgeons.
•This study used a statewide judiciary database to quantify malpractice cases.•Male surgeons were more likely to be named in malpractice lawsuits.•A second graduate degree predicted more yearly malpractice cases.</description><identifier>ISSN: 0002-9610</identifier><identifier>EISSN: 1879-1883</identifier><identifier>DOI: 10.1016/j.amjsurg.2022.11.008</identifier><identifier>PMID: 36414471</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Criminal investigations ; Cross-Sectional Studies ; Data collection ; Demographics ; Gender ; Graduate studies ; Humans ; Lawsuits ; Liability ; Liability, Legal ; Litigation ; Logistic Models ; Male ; Males ; Malpractice ; Mann-Whitney U test ; Maryland ; Medical malpractice ; Medical schools ; Population ; Regression analysis ; Surgeons ; Trends ; Variables</subject><ispartof>The American journal of surgery, 2023-04, Vol.225 (4), p.748-752</ispartof><rights>2022 Elsevier Inc.</rights><rights>Copyright © 2022 Elsevier Inc. All rights reserved.</rights><rights>2022. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c444t-6f78d8cd3a4fc53a0f8609aaed41ab90f8b31eb5d8b1b5646c0c486620cb0d1a3</cites><orcidid>0000-0002-8855-3667 ; 0000-0002-1384-884X ; 0000-0003-2067-0063</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2787216010?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36414471$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sundel, Margaret H.</creatorcontrib><creatorcontrib>Blackburn, Kyle W.</creatorcontrib><creatorcontrib>Seyoum, Nahom</creatorcontrib><creatorcontrib>Morton, Claire</creatorcontrib><creatorcontrib>Swartzberg, Allyson</creatorcontrib><creatorcontrib>Bafford, Andrea C.</creatorcontrib><title>Lessons in liability: Examining medical malpractice suits against general surgeons in Maryland</title><title>The American journal of surgery</title><addtitle>Am J Surg</addtitle><description>Although medical malpractice lawsuits pose a significant burden, there is a paucity of research on physician-specific characteristics influencing lawsuits against surgeons. Our objective was to identify factors associated with general surgeons being named in malpractice cases.
This was a cross sectional study of Maryland general surgeons, using malpractice data from a publicly accessible judiciary database. Case number per decade and lifetime lawsuit status were modeled with linear and logistic regression.
Male surgeons had a higher average lawsuit volume (p = 0.002) and were more likely to be named in a malpractice case (p < 0.001). In regression analysis, a second graduate degree was a predictor of average cases per 10 years (p = 0.008) and male gender predicted lifetime lawsuit status (OR = 1.73, p = 0.046).
Male gender was associated with increased odds of being named in a malpractice lawsuit. Identifying this difference is a preliminary step in developing interventions to reduce lawsuits amongst surgeons.
•This study used a statewide judiciary database to quantify malpractice cases.•Male surgeons were more likely to be named in malpractice lawsuits.•A second graduate degree predicted more yearly malpractice cases.</description><subject>Criminal investigations</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Demographics</subject><subject>Gender</subject><subject>Graduate studies</subject><subject>Humans</subject><subject>Lawsuits</subject><subject>Liability</subject><subject>Liability, Legal</subject><subject>Litigation</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Males</subject><subject>Malpractice</subject><subject>Mann-Whitney U test</subject><subject>Maryland</subject><subject>Medical malpractice</subject><subject>Medical schools</subject><subject>Population</subject><subject>Regression analysis</subject><subject>Surgeons</subject><subject>Trends</subject><subject>Variables</subject><issn>0002-9610</issn><issn>1879-1883</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc1u1DAUhS0EokPhEUCR2LBJuDd2HIcNQlUpSIPYwBbrxnGCo8QZ7KSib49HnZafDd5Yls89PscfY88RCgSUr8eC5jFuYShKKMsCsQBQD9gOVd3kqBR_yHYAUOaNRDhjT2Ic0xFR8MfsjEuBQtS4Y9_2NsbFx8z5bHLUusmtN2-yy580O-_8kM22c4ambKbpEMisztgsbm6NGQ3kfFyzwXobkuIYxp6sPlG4mch3T9mjnqZon532c_b1_eWXiw_5_vPVx4t3-9wIIdZc9rXqlOk4id5UnKBXEhoi2wmktknHlqNtq0612FZSSANGKClLMC10SPycvb31PWxtSmysX1MkfQhuTkn0Qk7_fePddz0s1xoBeFplcnh1cgjLj83GVc8uGjulFnbZoi5r3gjOq6ZK0pf_SMdlCz71SypVlygBIamqW5UJS4zB9vdpEPQRoR71CaE-ItSIOiFMcy_-rHI_dcfsd1ebPvTa2aCjcdabBCpYs-pucf954hdbTbH7</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Sundel, Margaret H.</creator><creator>Blackburn, Kyle W.</creator><creator>Seyoum, Nahom</creator><creator>Morton, Claire</creator><creator>Swartzberg, Allyson</creator><creator>Bafford, Andrea C.</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>3V.</scope><scope>7QO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8855-3667</orcidid><orcidid>https://orcid.org/0000-0002-1384-884X</orcidid><orcidid>https://orcid.org/0000-0003-2067-0063</orcidid></search><sort><creationdate>20230401</creationdate><title>Lessons in liability: Examining medical malpractice suits against general surgeons in Maryland</title><author>Sundel, Margaret H. ; 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Our objective was to identify factors associated with general surgeons being named in malpractice cases.
This was a cross sectional study of Maryland general surgeons, using malpractice data from a publicly accessible judiciary database. Case number per decade and lifetime lawsuit status were modeled with linear and logistic regression.
Male surgeons had a higher average lawsuit volume (p = 0.002) and were more likely to be named in a malpractice case (p < 0.001). In regression analysis, a second graduate degree was a predictor of average cases per 10 years (p = 0.008) and male gender predicted lifetime lawsuit status (OR = 1.73, p = 0.046).
Male gender was associated with increased odds of being named in a malpractice lawsuit. Identifying this difference is a preliminary step in developing interventions to reduce lawsuits amongst surgeons.
•This study used a statewide judiciary database to quantify malpractice cases.•Male surgeons were more likely to be named in malpractice lawsuits.•A second graduate degree predicted more yearly malpractice cases.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36414471</pmid><doi>10.1016/j.amjsurg.2022.11.008</doi><tpages>5</tpages><orcidid>https://orcid.org/0000-0002-8855-3667</orcidid><orcidid>https://orcid.org/0000-0002-1384-884X</orcidid><orcidid>https://orcid.org/0000-0003-2067-0063</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Criminal investigations Cross-Sectional Studies Data collection Demographics Gender Graduate studies Humans Lawsuits Liability Liability, Legal Litigation Logistic Models Male Males Malpractice Mann-Whitney U test Maryland Medical malpractice Medical schools Population Regression analysis Surgeons Trends Variables |
| title | Lessons in liability: Examining medical malpractice suits against general surgeons in Maryland |
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