Integrating risk management data in quality improvement initiatives within an academic neurosurgery department
OBJECT While malpractice litigation has had many negative impacts on health care delivery systems, information extracted from lawsuits could potentially guide toward venues to improve care. The authors present a comprehensive review of lawsuits within a tertiary academic neurosurgical department and...
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Veröffentlicht in: | Journal of neurosurgery 2016-01, Vol.124 (1), p.199-206 |
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creator | McLaughlin, Nancy Garrett, Matthew C Emami, Leila Foss, Sarah K Klohn, Johanna L Martin, Neil A |
description | OBJECT While malpractice litigation has had many negative impacts on health care delivery systems, information extracted from lawsuits could potentially guide toward venues to improve care. The authors present a comprehensive review of lawsuits within a tertiary academic neurosurgical department and report institutional and departmental strategies to mitigate liability by integrating risk management data with quality improvement initiatives. METHODS The Comprehensive Risk Intelligence Tool database was interrogated to extract claims/suits abstracts concerning neurosurgical cases that were closed from January 2008 to December 2012. Variables included demographics of the claimant, type of procedure performed (if any), claim description, insured information, case outcome, clinical summary, contributing factors and subfactors, amount incurred for indemnity and expenses, and independent expert opinion in regard to whether the standard of care was met. RESULTS During the study period, the Department of Neurosurgery received the most lawsuits of all surgical specialties (30 of 172), leading to a total incurred payment of $4,949,867. Of these lawsuits, 21 involved spinal pathologies and 9 cranial pathologies. The largest group of suits was from patients with challenging medical conditions who underwent uneventful surgeries and postoperative courses but filed lawsuits when they did not see the benefits for which they were hoping; 85% of these claims were withdrawn by the plaintiffs. The most commonly cited contributing factors included clinical judgment (20 of 30), technical skill (19 of 30), and communication (6 of 30). CONCLUSIONS While all medical and surgical subspecialties must deal with the issue of malpractice and liability, neurosurgery is most affected both in terms of the number of suits filed as well as monetary amounts awarded. To use the suits as learning tools for the faculty and residents and minimize the associated costs, quality initiatives addressing the most frequent contributing factors should be instituted in care redesign strategies, enabling strategic alignment of quality improvement and risk management efforts. |
doi_str_mv | 10.3171/2014.11.JNS132653 |
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The authors present a comprehensive review of lawsuits within a tertiary academic neurosurgical department and report institutional and departmental strategies to mitigate liability by integrating risk management data with quality improvement initiatives. METHODS The Comprehensive Risk Intelligence Tool database was interrogated to extract claims/suits abstracts concerning neurosurgical cases that were closed from January 2008 to December 2012. Variables included demographics of the claimant, type of procedure performed (if any), claim description, insured information, case outcome, clinical summary, contributing factors and subfactors, amount incurred for indemnity and expenses, and independent expert opinion in regard to whether the standard of care was met. RESULTS During the study period, the Department of Neurosurgery received the most lawsuits of all surgical specialties (30 of 172), leading to a total incurred payment of $4,949,867. Of these lawsuits, 21 involved spinal pathologies and 9 cranial pathologies. The largest group of suits was from patients with challenging medical conditions who underwent uneventful surgeries and postoperative courses but filed lawsuits when they did not see the benefits for which they were hoping; 85% of these claims were withdrawn by the plaintiffs. The most commonly cited contributing factors included clinical judgment (20 of 30), technical skill (19 of 30), and communication (6 of 30). CONCLUSIONS While all medical and surgical subspecialties must deal with the issue of malpractice and liability, neurosurgery is most affected both in terms of the number of suits filed as well as monetary amounts awarded. To use the suits as learning tools for the faculty and residents and minimize the associated costs, quality initiatives addressing the most frequent contributing factors should be instituted in care redesign strategies, enabling strategic alignment of quality improvement and risk management efforts.</description><identifier>ISSN: 0022-3085</identifier><identifier>ISSN: 1933-0693</identifier><identifier>EISSN: 1933-0693</identifier><identifier>DOI: 10.3171/2014.11.JNS132653</identifier><identifier>PMID: 26230469</identifier><language>eng</language><publisher>United States</publisher><subject>Clinical Competence ; Communication ; Data Interpretation, Statistical ; Databases, Factual ; Humans ; Judgment ; Liability, Legal ; Malpractice - economics ; Malpractice - statistics & numerical data ; Neurosurgery - education ; Neurosurgery - legislation & jurisprudence ; Neurosurgery - organization & administration ; Organizational Culture ; Quality Improvement - organization & administration ; Retrospective Studies ; Risk Management - statistics & numerical data ; Treatment Outcome</subject><ispartof>Journal of neurosurgery, 2016-01, Vol.124 (1), p.199-206</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-f9ee85020d690e830fc04f64ad344287677907b5fb4a4046e83d619e880502cc3</citedby><cites>FETCH-LOGICAL-c410t-f9ee85020d690e830fc04f64ad344287677907b5fb4a4046e83d619e880502cc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26230469$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McLaughlin, Nancy</creatorcontrib><creatorcontrib>Garrett, Matthew C</creatorcontrib><creatorcontrib>Emami, Leila</creatorcontrib><creatorcontrib>Foss, Sarah K</creatorcontrib><creatorcontrib>Klohn, Johanna L</creatorcontrib><creatorcontrib>Martin, Neil A</creatorcontrib><title>Integrating risk management data in quality improvement initiatives within an academic neurosurgery department</title><title>Journal of neurosurgery</title><addtitle>J Neurosurg</addtitle><description>OBJECT While malpractice litigation has had many negative impacts on health care delivery systems, information extracted from lawsuits could potentially guide toward venues to improve care. The authors present a comprehensive review of lawsuits within a tertiary academic neurosurgical department and report institutional and departmental strategies to mitigate liability by integrating risk management data with quality improvement initiatives. METHODS The Comprehensive Risk Intelligence Tool database was interrogated to extract claims/suits abstracts concerning neurosurgical cases that were closed from January 2008 to December 2012. Variables included demographics of the claimant, type of procedure performed (if any), claim description, insured information, case outcome, clinical summary, contributing factors and subfactors, amount incurred for indemnity and expenses, and independent expert opinion in regard to whether the standard of care was met. RESULTS During the study period, the Department of Neurosurgery received the most lawsuits of all surgical specialties (30 of 172), leading to a total incurred payment of $4,949,867. Of these lawsuits, 21 involved spinal pathologies and 9 cranial pathologies. The largest group of suits was from patients with challenging medical conditions who underwent uneventful surgeries and postoperative courses but filed lawsuits when they did not see the benefits for which they were hoping; 85% of these claims were withdrawn by the plaintiffs. The most commonly cited contributing factors included clinical judgment (20 of 30), technical skill (19 of 30), and communication (6 of 30). CONCLUSIONS While all medical and surgical subspecialties must deal with the issue of malpractice and liability, neurosurgery is most affected both in terms of the number of suits filed as well as monetary amounts awarded. To use the suits as learning tools for the faculty and residents and minimize the associated costs, quality initiatives addressing the most frequent contributing factors should be instituted in care redesign strategies, enabling strategic alignment of quality improvement and risk management efforts.</description><subject>Clinical Competence</subject><subject>Communication</subject><subject>Data Interpretation, Statistical</subject><subject>Databases, Factual</subject><subject>Humans</subject><subject>Judgment</subject><subject>Liability, Legal</subject><subject>Malpractice - economics</subject><subject>Malpractice - statistics & numerical data</subject><subject>Neurosurgery - education</subject><subject>Neurosurgery - legislation & jurisprudence</subject><subject>Neurosurgery - organization & administration</subject><subject>Organizational Culture</subject><subject>Quality Improvement - organization & administration</subject><subject>Retrospective Studies</subject><subject>Risk Management - statistics & numerical data</subject><subject>Treatment Outcome</subject><issn>0022-3085</issn><issn>1933-0693</issn><issn>1933-0693</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kEtPwzAQhC0EoqXwA7ggH7mkrB9xkiOqeBRVcADOkZtsgqFxW9sp6r_HVUullfaw841mh5BrBmPBMnbHgckxY-OX13cmuErFCRmyQogEVCFOyRCA80RAng7IhfffAExJxc_JgCsuQKpiSOzUBmydDsa21Bn_QzttdYsd2kBrHTQ1lq57vTBhS023csvN_masCSZiG_T014SvKNNxKl1jZypqsXdL37sW3ZbWuNIu7LBLctbohcerwx6Rz8eHj8lzMnt7mk7uZ0klGYSkKRDzFDjUqgDMBTQVyEZJXQspeZ6pLCsgm6fNXGoZH4mSWrEC8xwiVVViRG73vjHwukcfys74ChcLbXHZ-5JlqQDIZSailO2lVQzsHTblyplOu23JoNzVXO5qLhkrjzVH5uZg3887rI_Ef6_iD1DHefA</recordid><startdate>201601</startdate><enddate>201601</enddate><creator>McLaughlin, Nancy</creator><creator>Garrett, Matthew C</creator><creator>Emami, Leila</creator><creator>Foss, Sarah K</creator><creator>Klohn, Johanna L</creator><creator>Martin, Neil A</creator><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>201601</creationdate><title>Integrating risk management data in quality improvement initiatives within an academic neurosurgery department</title><author>McLaughlin, Nancy ; Garrett, Matthew C ; Emami, Leila ; Foss, Sarah K ; Klohn, Johanna L ; Martin, Neil A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-f9ee85020d690e830fc04f64ad344287677907b5fb4a4046e83d619e880502cc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Clinical Competence</topic><topic>Communication</topic><topic>Data Interpretation, Statistical</topic><topic>Databases, Factual</topic><topic>Humans</topic><topic>Judgment</topic><topic>Liability, Legal</topic><topic>Malpractice - economics</topic><topic>Malpractice - statistics & numerical data</topic><topic>Neurosurgery - education</topic><topic>Neurosurgery - legislation & jurisprudence</topic><topic>Neurosurgery - organization & administration</topic><topic>Organizational Culture</topic><topic>Quality Improvement - organization & administration</topic><topic>Retrospective Studies</topic><topic>Risk Management - statistics & numerical data</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McLaughlin, Nancy</creatorcontrib><creatorcontrib>Garrett, Matthew C</creatorcontrib><creatorcontrib>Emami, Leila</creatorcontrib><creatorcontrib>Foss, Sarah K</creatorcontrib><creatorcontrib>Klohn, Johanna L</creatorcontrib><creatorcontrib>Martin, Neil A</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>Journal of neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McLaughlin, Nancy</au><au>Garrett, Matthew C</au><au>Emami, Leila</au><au>Foss, Sarah K</au><au>Klohn, Johanna L</au><au>Martin, Neil A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating risk management data in quality improvement initiatives within an academic neurosurgery department</atitle><jtitle>Journal of neurosurgery</jtitle><addtitle>J Neurosurg</addtitle><date>2016-01</date><risdate>2016</risdate><volume>124</volume><issue>1</issue><spage>199</spage><epage>206</epage><pages>199-206</pages><issn>0022-3085</issn><issn>1933-0693</issn><eissn>1933-0693</eissn><abstract>OBJECT While malpractice litigation has had many negative impacts on health care delivery systems, information extracted from lawsuits could potentially guide toward venues to improve care. The authors present a comprehensive review of lawsuits within a tertiary academic neurosurgical department and report institutional and departmental strategies to mitigate liability by integrating risk management data with quality improvement initiatives. METHODS The Comprehensive Risk Intelligence Tool database was interrogated to extract claims/suits abstracts concerning neurosurgical cases that were closed from January 2008 to December 2012. Variables included demographics of the claimant, type of procedure performed (if any), claim description, insured information, case outcome, clinical summary, contributing factors and subfactors, amount incurred for indemnity and expenses, and independent expert opinion in regard to whether the standard of care was met. RESULTS During the study period, the Department of Neurosurgery received the most lawsuits of all surgical specialties (30 of 172), leading to a total incurred payment of $4,949,867. Of these lawsuits, 21 involved spinal pathologies and 9 cranial pathologies. The largest group of suits was from patients with challenging medical conditions who underwent uneventful surgeries and postoperative courses but filed lawsuits when they did not see the benefits for which they were hoping; 85% of these claims were withdrawn by the plaintiffs. The most commonly cited contributing factors included clinical judgment (20 of 30), technical skill (19 of 30), and communication (6 of 30). CONCLUSIONS While all medical and surgical subspecialties must deal with the issue of malpractice and liability, neurosurgery is most affected both in terms of the number of suits filed as well as monetary amounts awarded. To use the suits as learning tools for the faculty and residents and minimize the associated costs, quality initiatives addressing the most frequent contributing factors should be instituted in care redesign strategies, enabling strategic alignment of quality improvement and risk management efforts.</abstract><cop>United States</cop><pmid>26230469</pmid><doi>10.3171/2014.11.JNS132653</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Clinical Competence Communication Data Interpretation, Statistical Databases, Factual Humans Judgment Liability, Legal Malpractice - economics Malpractice - statistics & numerical data Neurosurgery - education Neurosurgery - legislation & jurisprudence Neurosurgery - organization & administration Organizational Culture Quality Improvement - organization & administration Retrospective Studies Risk Management - statistics & numerical data Treatment Outcome |
title | Integrating risk management data in quality improvement initiatives within an academic neurosurgery department |
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