Do Intensivist Staffing Patterns Influence Hospital Mortality Following ICU Admission? A Systematic Review and Meta-Analyses

OBJECTIVE:To determine the effect of different intensivist staffing models on clinical outcomes for critically ill patients. DATA SOURCES:A sensitive search of electronic databases and hand-search of major critical care journals and conference proceedings was completed in October 2012. STUDY SELECTI...

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Veröffentlicht in:Critical care medicine 2013-10, Vol.41 (10), p.2253-2274
Hauptverfasser: Wilcox, M. Elizabeth, Chong, Christopher A. K. Y., Niven, Daniel J., Rubenfeld, Gordon D., Rowan, Kathryn M., Wunsch, Hannah, Fan, Eddy
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container_end_page 2274
container_issue 10
container_start_page 2253
container_title Critical care medicine
container_volume 41
creator Wilcox, M. Elizabeth
Chong, Christopher A. K. Y.
Niven, Daniel J.
Rubenfeld, Gordon D.
Rowan, Kathryn M.
Wunsch, Hannah
Fan, Eddy
description OBJECTIVE:To determine the effect of different intensivist staffing models on clinical outcomes for critically ill patients. DATA SOURCES:A sensitive search of electronic databases and hand-search of major critical care journals and conference proceedings was completed in October 2012. STUDY SELECTION:Comparative observational studies examining intensivist staffing patterns and reporting hospital or ICU mortality were included. DATA EXTRACTION:Of 16,774 citations, 52 studies met the inclusion criteria. We used random-effects meta-analytic models unadjusted for case-mix or cluster effects and quantified between-study heterogeneity using I. Study quality was assessed using the Newcastle-Ottawa Score for cohort studies. DATA SYNTHESIS:High-intensity staffing (i.e., transfer of care to an intensivist-led team or mandatory consultation of an intensivist), compared to low-intensity staffing, was associated with lower hospital mortality (risk ratio, 0.83; 95% CI, 0.70–0.99) and ICU mortality (pooled risk ratio, 0.81; 95% CI, 0.68–0.96). Significant reductions in hospital and ICU length of stay were seen (–0.17 d, 95% CI, –0.31 to –0.03 d and –0.38 d, 95% CI, –0.55 to –0.20 d, respectively). Within high-intensity staffing models, 24-hour in-hospital intensivist coverage, compared to daytime only coverage, did not improved hospital or ICU mortality (risk ratio, 0.97; 95% CI, 0.89–1.1 and risk ratio, 0.88; 95% CI, 0.70–1.1). The benefit of high-intensity staffing was concentrated in surgical (risk ratio, 0.84; 95% CI, 0.44–1.6) and combined medical-surgical (risk ratio, 0.76; 95% CI, 0.66–0.83) ICUs, as compared to medical (risk ratio, 1.1; 95% CI, 0.83–1.5) ICUs. The effect on hospital mortality varied throughout different decades; pooled risk ratios were 0.74 (95% CI, 0.63–0.87) from 1980 to 1989, 0.96 (95% CI, 0.69–1.3) from 1990 to 1999, 0.70 (95% CI, 0.54–0.90) from 2000 to 2009, and 1.2 (95% CI, 0.84–1.8) from 2010 to 2012. These findings were similar for ICU mortality. CONCLUSIONS:High-intensity staffing is associated with reduced ICU and hospital mortality. Within a high-intensity model, 24-hour in-hospital intensivist coverage did not reduce hospital, or ICU, mortality. Benefits seen in mortality were dependent on the type of ICU and decade of publication.
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A Systematic Review and Meta-Analyses</title><source>MEDLINE</source><source>Journals@Ovid Ovid Autoload</source><creator>Wilcox, M. Elizabeth ; Chong, Christopher A. K. Y. ; Niven, Daniel J. ; Rubenfeld, Gordon D. ; Rowan, Kathryn M. ; Wunsch, Hannah ; Fan, Eddy</creator><creatorcontrib>Wilcox, M. Elizabeth ; Chong, Christopher A. K. Y. ; Niven, Daniel J. ; Rubenfeld, Gordon D. ; Rowan, Kathryn M. ; Wunsch, Hannah ; Fan, Eddy</creatorcontrib><description>OBJECTIVE:To determine the effect of different intensivist staffing models on clinical outcomes for critically ill patients. DATA SOURCES:A sensitive search of electronic databases and hand-search of major critical care journals and conference proceedings was completed in October 2012. STUDY SELECTION:Comparative observational studies examining intensivist staffing patterns and reporting hospital or ICU mortality were included. DATA EXTRACTION:Of 16,774 citations, 52 studies met the inclusion criteria. We used random-effects meta-analytic models unadjusted for case-mix or cluster effects and quantified between-study heterogeneity using I. Study quality was assessed using the Newcastle-Ottawa Score for cohort studies. DATA SYNTHESIS:High-intensity staffing (i.e., transfer of care to an intensivist-led team or mandatory consultation of an intensivist), compared to low-intensity staffing, was associated with lower hospital mortality (risk ratio, 0.83; 95% CI, 0.70–0.99) and ICU mortality (pooled risk ratio, 0.81; 95% CI, 0.68–0.96). Significant reductions in hospital and ICU length of stay were seen (–0.17 d, 95% CI, –0.31 to –0.03 d and –0.38 d, 95% CI, –0.55 to –0.20 d, respectively). Within high-intensity staffing models, 24-hour in-hospital intensivist coverage, compared to daytime only coverage, did not improved hospital or ICU mortality (risk ratio, 0.97; 95% CI, 0.89–1.1 and risk ratio, 0.88; 95% CI, 0.70–1.1). The benefit of high-intensity staffing was concentrated in surgical (risk ratio, 0.84; 95% CI, 0.44–1.6) and combined medical-surgical (risk ratio, 0.76; 95% CI, 0.66–0.83) ICUs, as compared to medical (risk ratio, 1.1; 95% CI, 0.83–1.5) ICUs. The effect on hospital mortality varied throughout different decades; pooled risk ratios were 0.74 (95% CI, 0.63–0.87) from 1980 to 1989, 0.96 (95% CI, 0.69–1.3) from 1990 to 1999, 0.70 (95% CI, 0.54–0.90) from 2000 to 2009, and 1.2 (95% CI, 0.84–1.8) from 2010 to 2012. These findings were similar for ICU mortality. CONCLUSIONS:High-intensity staffing is associated with reduced ICU and hospital mortality. Within a high-intensity model, 24-hour in-hospital intensivist coverage did not reduce hospital, or ICU, mortality. 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Cell therapy and gene therapy ; Biological and medical sciences ; Critical Illness - mortality ; Hospital Mortality ; Hospitalization ; Humans ; Intensive care medicine ; Intensive Care Units ; Medical sciences ; Medical Staff, Hospital - organization &amp; administration ; Models, Organizational ; Personnel Staffing and Scheduling - organization &amp; administration</subject><ispartof>Critical care medicine, 2013-10, Vol.41 (10), p.2253-2274</ispartof><rights>2013 by the Society of Critical Care Medicine and Lippincott Williams &amp; Wilkins</rights><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386a-608b8cdd5da3a17c63580d07d889bde897afe353634a7d2e70b546de3f1a8e733</citedby><cites>FETCH-LOGICAL-c386a-608b8cdd5da3a17c63580d07d889bde897afe353634a7d2e70b546de3f1a8e733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27789145$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23921275$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wilcox, M. Elizabeth</creatorcontrib><creatorcontrib>Chong, Christopher A. K. Y.</creatorcontrib><creatorcontrib>Niven, Daniel J.</creatorcontrib><creatorcontrib>Rubenfeld, Gordon D.</creatorcontrib><creatorcontrib>Rowan, Kathryn M.</creatorcontrib><creatorcontrib>Wunsch, Hannah</creatorcontrib><creatorcontrib>Fan, Eddy</creatorcontrib><title>Do Intensivist Staffing Patterns Influence Hospital Mortality Following ICU Admission? A Systematic Review and Meta-Analyses</title><title>Critical care medicine</title><addtitle>Crit Care Med</addtitle><description>OBJECTIVE:To determine the effect of different intensivist staffing models on clinical outcomes for critically ill patients. DATA SOURCES:A sensitive search of electronic databases and hand-search of major critical care journals and conference proceedings was completed in October 2012. STUDY SELECTION:Comparative observational studies examining intensivist staffing patterns and reporting hospital or ICU mortality were included. DATA EXTRACTION:Of 16,774 citations, 52 studies met the inclusion criteria. We used random-effects meta-analytic models unadjusted for case-mix or cluster effects and quantified between-study heterogeneity using I. Study quality was assessed using the Newcastle-Ottawa Score for cohort studies. DATA SYNTHESIS:High-intensity staffing (i.e., transfer of care to an intensivist-led team or mandatory consultation of an intensivist), compared to low-intensity staffing, was associated with lower hospital mortality (risk ratio, 0.83; 95% CI, 0.70–0.99) and ICU mortality (pooled risk ratio, 0.81; 95% CI, 0.68–0.96). Significant reductions in hospital and ICU length of stay were seen (–0.17 d, 95% CI, –0.31 to –0.03 d and –0.38 d, 95% CI, –0.55 to –0.20 d, respectively). Within high-intensity staffing models, 24-hour in-hospital intensivist coverage, compared to daytime only coverage, did not improved hospital or ICU mortality (risk ratio, 0.97; 95% CI, 0.89–1.1 and risk ratio, 0.88; 95% CI, 0.70–1.1). The benefit of high-intensity staffing was concentrated in surgical (risk ratio, 0.84; 95% CI, 0.44–1.6) and combined medical-surgical (risk ratio, 0.76; 95% CI, 0.66–0.83) ICUs, as compared to medical (risk ratio, 1.1; 95% CI, 0.83–1.5) ICUs. The effect on hospital mortality varied throughout different decades; pooled risk ratios were 0.74 (95% CI, 0.63–0.87) from 1980 to 1989, 0.96 (95% CI, 0.69–1.3) from 1990 to 1999, 0.70 (95% CI, 0.54–0.90) from 2000 to 2009, and 1.2 (95% CI, 0.84–1.8) from 2010 to 2012. These findings were similar for ICU mortality. CONCLUSIONS:High-intensity staffing is associated with reduced ICU and hospital mortality. Within a high-intensity model, 24-hour in-hospital intensivist coverage did not reduce hospital, or ICU, mortality. Benefits seen in mortality were dependent on the type of ICU and decade of publication.</description><subject>Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy</subject><subject>Biological and medical sciences</subject><subject>Critical Illness - mortality</subject><subject>Hospital Mortality</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Intensive care medicine</subject><subject>Intensive Care Units</subject><subject>Medical sciences</subject><subject>Medical Staff, Hospital - organization &amp; administration</subject><subject>Models, Organizational</subject><subject>Personnel Staffing and Scheduling - organization &amp; administration</subject><issn>0090-3493</issn><issn>1530-0293</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kcFu1DAQhiMEokvhDRDyBYlLip1JYvuEVoHSlboCUXqOJvGEGrzONna6WqkPX1e7gMSB0xzm-2dG32TZa8HPBNfyfdOsz3jHBRAIVegCBOCTbCEq4DkvNDzNFpxrnkOp4SR7EcJPzkVZSXienRSgC1HIapHdfxzZykfywd7ZENlVxGGw_gf7ijHS5EPqDm4m3xO7GMPWRnRsPU6p2Lhn56Nz4-6RXzXXbGk2NgQ7-g9sya72IdIGo-3ZN7qztGPoDVtTxHzp0e0DhZfZswFdoFfHeppdn3_63lzkl18-r5rlZd6DqjGvuepUb0xlEFDIvoZKccOlUUp3hpSWOBBUUEOJ0hQkeVeVtSEYBCqSAKfZu8Pc7TTezhRim-7syTn0NM6hFWUJoOuiVAktD2g_jSFMNLTbyW5w2reCt4_e2-S9_dd7ir05bpi7DZk_od-iE_D2CGDo0Q0T-t6Gv5yUSqfvJE4duN3okv_wy807mtobQhdv_n_DA9UjnsQ</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Wilcox, M. 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Y.</creatorcontrib><creatorcontrib>Niven, Daniel J.</creatorcontrib><creatorcontrib>Rubenfeld, Gordon D.</creatorcontrib><creatorcontrib>Rowan, Kathryn M.</creatorcontrib><creatorcontrib>Wunsch, Hannah</creatorcontrib><creatorcontrib>Fan, Eddy</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>Critical care medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wilcox, M. Elizabeth</au><au>Chong, Christopher A. K. Y.</au><au>Niven, Daniel J.</au><au>Rubenfeld, Gordon D.</au><au>Rowan, Kathryn M.</au><au>Wunsch, Hannah</au><au>Fan, Eddy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Do Intensivist Staffing Patterns Influence Hospital Mortality Following ICU Admission? A Systematic Review and Meta-Analyses</atitle><jtitle>Critical care medicine</jtitle><addtitle>Crit Care Med</addtitle><date>2013-10</date><risdate>2013</risdate><volume>41</volume><issue>10</issue><spage>2253</spage><epage>2274</epage><pages>2253-2274</pages><issn>0090-3493</issn><eissn>1530-0293</eissn><coden>CCMDC7</coden><abstract>OBJECTIVE:To determine the effect of different intensivist staffing models on clinical outcomes for critically ill patients. DATA SOURCES:A sensitive search of electronic databases and hand-search of major critical care journals and conference proceedings was completed in October 2012. STUDY SELECTION:Comparative observational studies examining intensivist staffing patterns and reporting hospital or ICU mortality were included. DATA EXTRACTION:Of 16,774 citations, 52 studies met the inclusion criteria. We used random-effects meta-analytic models unadjusted for case-mix or cluster effects and quantified between-study heterogeneity using I. Study quality was assessed using the Newcastle-Ottawa Score for cohort studies. DATA SYNTHESIS:High-intensity staffing (i.e., transfer of care to an intensivist-led team or mandatory consultation of an intensivist), compared to low-intensity staffing, was associated with lower hospital mortality (risk ratio, 0.83; 95% CI, 0.70–0.99) and ICU mortality (pooled risk ratio, 0.81; 95% CI, 0.68–0.96). Significant reductions in hospital and ICU length of stay were seen (–0.17 d, 95% CI, –0.31 to –0.03 d and –0.38 d, 95% CI, –0.55 to –0.20 d, respectively). Within high-intensity staffing models, 24-hour in-hospital intensivist coverage, compared to daytime only coverage, did not improved hospital or ICU mortality (risk ratio, 0.97; 95% CI, 0.89–1.1 and risk ratio, 0.88; 95% CI, 0.70–1.1). The benefit of high-intensity staffing was concentrated in surgical (risk ratio, 0.84; 95% CI, 0.44–1.6) and combined medical-surgical (risk ratio, 0.76; 95% CI, 0.66–0.83) ICUs, as compared to medical (risk ratio, 1.1; 95% CI, 0.83–1.5) ICUs. The effect on hospital mortality varied throughout different decades; pooled risk ratios were 0.74 (95% CI, 0.63–0.87) from 1980 to 1989, 0.96 (95% CI, 0.69–1.3) from 1990 to 1999, 0.70 (95% CI, 0.54–0.90) from 2000 to 2009, and 1.2 (95% CI, 0.84–1.8) from 2010 to 2012. These findings were similar for ICU mortality. CONCLUSIONS:High-intensity staffing is associated with reduced ICU and hospital mortality. Within a high-intensity model, 24-hour in-hospital intensivist coverage did not reduce hospital, or ICU, mortality. Benefits seen in mortality were dependent on the type of ICU and decade of publication.</abstract><cop>Hagerstown, MD</cop><pub>by the Society of Critical Care Medicine and Lippincott Williams &amp; Wilkins</pub><pmid>23921275</pmid><doi>10.1097/CCM.0b013e318292313a</doi><tpages>22</tpages></addata></record>
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subjects Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Biological and medical sciences
Critical Illness - mortality
Hospital Mortality
Hospitalization
Humans
Intensive care medicine
Intensive Care Units
Medical sciences
Medical Staff, Hospital - organization & administration
Models, Organizational
Personnel Staffing and Scheduling - organization & administration
title Do Intensivist Staffing Patterns Influence Hospital Mortality Following ICU Admission? A Systematic Review and Meta-Analyses
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