Advance Care Planning Norms May Contribute to Hospital Variation in End-of-life ICU Use: A Simulation Study
Identifieur interne : 001486 ( Pmc/Corpus ); précédent : 001485; suivant : 001487Advance Care Planning Norms May Contribute to Hospital Variation in End-of-life ICU Use: A Simulation Study
Auteurs : Amber E. Barnato ; Deepika Mohan ; Rondall K. Lane ; Yue Ming Huang ; Derek C. Angus ; Coreen Farris ; Robert M. ArnoldSource :
- Medical decision making : an international journal of the Society for Medical Decision Making [ 0272-989X ] ; 2014.
Abstract
There is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs).
To develop hypotheses regarding medical decision-making factors underlying this variation.
High-fidelity simulation experiment involving a critically and terminally ill elder, followed by a survey and debriefing cognitive interview and evaluated using triangulated quantitative-qualitative comparative analysis.
2 AMCs in the same state and health care system with disparate EOL ICU use.
Hospital-based physicians responsible for ICU admission decisions.
Treatment plan, prognosis, diagnosis, qualitative case perceptions and clinical reasoning.
Sixty-seven of 111 (60%) eligible physicians agreed to participate; 48 (72%) could be scheduled. There were no significant between-AMC differences in 3-month prognosis or treatment plan, but there were systematic differences in perceptions of the case. Case perceptions at the low-intensity AMC seemed to be influenced by the absence of a DNR order in the context of norms of universal code status discussion and documentation upon admission, whereas case perceptions at the high-intensity AMC seemed to be influenced by the patient’s known metastatic gastric cancer in the context of norms of oncologists’ avoiding code status discussions.
In this simulation study of 2 AMCs, hospital-based physicians had different perceptions of an identical case. We hypothesize that different advance care planning norms may have influenced their decision-making heuristics.
Url:
DOI: 10.1177/0272989X14522099
PubMed: 24615275
PubMed Central: 4026761
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PMC:4026761Le document en format XML
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<author><name sortKey="Barnato, Amber E" sort="Barnato, Amber E" uniqKey="Barnato A" first="Amber E." last="Barnato">Amber E. Barnato</name>
<affiliation><nlm:aff id="A1">Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A3">Department of Health Policy Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A4">The CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mohan, Deepika" sort="Mohan, Deepika" uniqKey="Mohan D" first="Deepika" last="Mohan">Deepika Mohan</name>
<affiliation><nlm:aff id="A4">The CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
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<author><name sortKey="Lane, Rondall K" sort="Lane, Rondall K" uniqKey="Lane R" first="Rondall K." last="Lane">Rondall K. Lane</name>
<affiliation><nlm:aff id="A5">Department of Anesthesia and Perioperative Care, University of California San Francisco Medical Center, San Francisco, CA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Huang, Yue Ming" sort="Huang, Yue Ming" uniqKey="Huang Y" first="Yue Ming" last="Huang">Yue Ming Huang</name>
<affiliation><nlm:aff id="A6">Department of Anesthesiology, David Geffen School of Medicine at University of California, Los Angeles, CA</nlm:aff>
</affiliation>
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<author><name sortKey="Angus, Derek C" sort="Angus, Derek C" uniqKey="Angus D" first="Derek C." last="Angus">Derek C. Angus</name>
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<affiliation><nlm:aff id="A6">Department of Anesthesiology, David Geffen School of Medicine at University of California, Los Angeles, CA</nlm:aff>
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<author><name sortKey="Farris, Coreen" sort="Farris, Coreen" uniqKey="Farris C" first="Coreen" last="Farris">Coreen Farris</name>
<affiliation><nlm:aff id="A7">RAND Corporation, Pittsburgh, PA</nlm:aff>
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<author><name sortKey="Arnold, Robert M" sort="Arnold, Robert M" uniqKey="Arnold R" first="Robert M." last="Arnold">Robert M. Arnold</name>
<affiliation><nlm:aff id="A1">Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A8">Section of Palliative Care and Medical Ethics, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Advance Care Planning Norms May Contribute to Hospital Variation in End-of-life ICU Use: A Simulation Study</title>
<author><name sortKey="Barnato, Amber E" sort="Barnato, Amber E" uniqKey="Barnato A" first="Amber E." last="Barnato">Amber E. Barnato</name>
<affiliation><nlm:aff id="A1">Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A3">Department of Health Policy Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A4">The CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Mohan, Deepika" sort="Mohan, Deepika" uniqKey="Mohan D" first="Deepika" last="Mohan">Deepika Mohan</name>
<affiliation><nlm:aff id="A4">The CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Lane, Rondall K" sort="Lane, Rondall K" uniqKey="Lane R" first="Rondall K." last="Lane">Rondall K. Lane</name>
<affiliation><nlm:aff id="A5">Department of Anesthesia and Perioperative Care, University of California San Francisco Medical Center, San Francisco, CA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Huang, Yue Ming" sort="Huang, Yue Ming" uniqKey="Huang Y" first="Yue Ming" last="Huang">Yue Ming Huang</name>
<affiliation><nlm:aff id="A6">Department of Anesthesiology, David Geffen School of Medicine at University of California, Los Angeles, CA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Angus, Derek C" sort="Angus, Derek C" uniqKey="Angus D" first="Derek C." last="Angus">Derek C. Angus</name>
<affiliation><nlm:aff id="A4">The CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A6">Department of Anesthesiology, David Geffen School of Medicine at University of California, Los Angeles, CA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Farris, Coreen" sort="Farris, Coreen" uniqKey="Farris C" first="Coreen" last="Farris">Coreen Farris</name>
<affiliation><nlm:aff id="A7">RAND Corporation, Pittsburgh, PA</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Arnold, Robert M" sort="Arnold, Robert M" uniqKey="Arnold R" first="Robert M." last="Arnold">Robert M. Arnold</name>
<affiliation><nlm:aff id="A1">Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A2">Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="A8">Section of Palliative Care and Medical Ethics, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</nlm:aff>
</affiliation>
</author>
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<series><title level="j">Medical decision making : an international journal of the Society for Medical Decision Making</title>
<idno type="ISSN">0272-989X</idno>
<idno type="eISSN">1552-681X</idno>
<imprint><date when="2014">2014</date>
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<front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title>
<p id="P1">There is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs).</p>
</sec>
<sec id="S2"><title>Objective</title>
<p id="P2">To develop hypotheses regarding medical decision-making factors underlying this variation.</p>
</sec>
<sec id="S3"><title>Design</title>
<p id="P3">High-fidelity simulation experiment involving a critically and terminally ill elder, followed by a survey and debriefing cognitive interview and evaluated using triangulated quantitative-qualitative comparative analysis.</p>
</sec>
<sec id="S4"><title>Setting</title>
<p id="P4">2 AMCs in the same state and health care system with disparate EOL ICU use.</p>
</sec>
<sec id="S5"><title>Subjects</title>
<p id="P5">Hospital-based physicians responsible for ICU admission decisions.</p>
</sec>
<sec id="S6"><title>Measurements</title>
<p id="P6">Treatment plan, prognosis, diagnosis, qualitative case perceptions and clinical reasoning.</p>
</sec>
<sec id="S7"><title>Main Results</title>
<p id="P7">Sixty-seven of 111 (60%) eligible physicians agreed to participate; 48 (72%) could be scheduled. There were no significant between-AMC differences in 3-month prognosis or treatment plan, but there were systematic differences in perceptions of the case. Case perceptions at the low-intensity AMC seemed to be influenced by the absence of a DNR order in the context of norms of universal code status discussion and documentation upon admission, whereas case perceptions at the high-intensity AMC seemed to be influenced by the patient’s known metastatic gastric cancer in the context of norms of oncologists’ avoiding code status discussions.</p>
</sec>
<sec id="S8"><title>Conclusions</title>
<p id="P8">In this simulation study of 2 AMCs, hospital-based physicians had different perceptions of an identical case. We hypothesize that different advance care planning norms may have influenced their decision-making heuristics.</p>
</sec>
</div>
</front>
</TEI>
<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8109073</journal-id>
<journal-id journal-id-type="pubmed-jr-id">5668</journal-id>
<journal-id journal-id-type="nlm-ta">Med Decis Making</journal-id>
<journal-id journal-id-type="iso-abbrev">Med Decis Making</journal-id>
<journal-title-group><journal-title>Medical decision making : an international journal of the Society for Medical Decision Making</journal-title>
</journal-title-group>
<issn pub-type="ppub">0272-989X</issn>
<issn pub-type="epub">1552-681X</issn>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">24615275</article-id>
<article-id pub-id-type="pmc">4026761</article-id>
<article-id pub-id-type="doi">10.1177/0272989X14522099</article-id>
<article-id pub-id-type="manuscript">NIHMS555453</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Advance Care Planning Norms May Contribute to Hospital Variation in End-of-life ICU Use: A Simulation Study</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Barnato</surname>
<given-names>Amber E.</given-names>
</name>
<degrees>MD, MPH, MS, FACPM</degrees>
<xref ref-type="aff" rid="A1">*</xref>
<xref ref-type="aff" rid="A2">†</xref>
<xref ref-type="aff" rid="A3">‡</xref>
<xref ref-type="aff" rid="A4">§</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Mohan</surname>
<given-names>Deepika</given-names>
</name>
<degrees>MD, MPH</degrees>
<xref ref-type="aff" rid="A4">§</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Lane</surname>
<given-names>Rondall K.</given-names>
</name>
<degrees>MD, MPH</degrees>
<xref ref-type="aff" rid="A5">||</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Huang</surname>
<given-names>Yue Ming</given-names>
</name>
<degrees>EdD, MHS</degrees>
<xref ref-type="aff" rid="A6">¶</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Angus</surname>
<given-names>Derek C.</given-names>
</name>
<degrees>MD, MPH, FCCM</degrees>
<xref ref-type="aff" rid="A4">§</xref>
<xref ref-type="aff" rid="A6">¶</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Farris</surname>
<given-names>Coreen</given-names>
</name>
<degrees>PhD</degrees>
<xref ref-type="aff" rid="A7">**</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Arnold</surname>
<given-names>Robert M.</given-names>
</name>
<degrees>MD</degrees>
<xref ref-type="aff" rid="A1">*</xref>
<xref ref-type="aff" rid="A2">†</xref>
<xref ref-type="aff" rid="A8">∫</xref>
</contrib>
</contrib-group>
<aff id="A1"><label>*</label>
Center for Research on Health Care, University of Pittsburgh, Pittsburgh, PA</aff>
<aff id="A2"><label>†</label>
Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</aff>
<aff id="A3"><label>‡</label>
Department of Health Policy Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA</aff>
<aff id="A4"><label>§</label>
The CRISMA (Clinical Research, Investigation, and Systems Modeling of Acute Illness) Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA</aff>
<aff id="A5"><label>||</label>
Department of Anesthesia and Perioperative Care, University of California San Francisco Medical Center, San Francisco, CA</aff>
<aff id="A6"><label>¶</label>
Department of Anesthesiology, David Geffen School of Medicine at University of California, Los Angeles, CA</aff>
<aff id="A7"><label>**</label>
RAND Corporation, Pittsburgh, PA</aff>
<aff id="A8"><label>∫</label>
Section of Palliative Care and Medical Ethics, Division of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA</aff>
<author-notes><corresp id="FN1">Corresponding author: Amber E. Barnato, MD, MPH, MS, 200 Meyran, Suite 200, Pittsburgh, PA 15221; Phone: 412-692-4875, Fax: 412-246-6954, <email>aeb2@pitt.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>3</day>
<month>3</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub"><day>10</day>
<month>3</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="ppub"><month>5</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>5</month>
<year>2015</year>
</pub-date>
<volume>34</volume>
<issue>4</issue>
<fpage>473</fpage>
<lpage>484</lpage>
<pmc-comment>elocation-id from pubmed: 10.1177/0272989X14522099</pmc-comment>
<abstract><sec id="S1"><title>Background</title>
<p id="P1">There is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs).</p>
</sec>
<sec id="S2"><title>Objective</title>
<p id="P2">To develop hypotheses regarding medical decision-making factors underlying this variation.</p>
</sec>
<sec id="S3"><title>Design</title>
<p id="P3">High-fidelity simulation experiment involving a critically and terminally ill elder, followed by a survey and debriefing cognitive interview and evaluated using triangulated quantitative-qualitative comparative analysis.</p>
</sec>
<sec id="S4"><title>Setting</title>
<p id="P4">2 AMCs in the same state and health care system with disparate EOL ICU use.</p>
</sec>
<sec id="S5"><title>Subjects</title>
<p id="P5">Hospital-based physicians responsible for ICU admission decisions.</p>
</sec>
<sec id="S6"><title>Measurements</title>
<p id="P6">Treatment plan, prognosis, diagnosis, qualitative case perceptions and clinical reasoning.</p>
</sec>
<sec id="S7"><title>Main Results</title>
<p id="P7">Sixty-seven of 111 (60%) eligible physicians agreed to participate; 48 (72%) could be scheduled. There were no significant between-AMC differences in 3-month prognosis or treatment plan, but there were systematic differences in perceptions of the case. Case perceptions at the low-intensity AMC seemed to be influenced by the absence of a DNR order in the context of norms of universal code status discussion and documentation upon admission, whereas case perceptions at the high-intensity AMC seemed to be influenced by the patient’s known metastatic gastric cancer in the context of norms of oncologists’ avoiding code status discussions.</p>
</sec>
<sec id="S8"><title>Conclusions</title>
<p id="P8">In this simulation study of 2 AMCs, hospital-based physicians had different perceptions of an identical case. We hypothesize that different advance care planning norms may have influenced their decision-making heuristics.</p>
</sec>
</abstract>
<kwd-group><kwd>terminal care</kwd>
<kwd>palliative care</kwd>
<kwd>intensive care</kwd>
<kwd>physician decision making</kwd>
<kwd>heuristics</kwd>
<kwd>cancer</kwd>
<kwd>simulation</kwd>
<kwd>variation</kwd>
<kwd>Medicare</kwd>
<kwd>national health policy</kwd>
<kwd>qualitative research</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>
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