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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 : 001487

Advance 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. Arnold

Source :

RBID : PMC:4026761

Abstract

Background

There is wide variation in end-of-life (EOL) intensive care unit (ICU) use among academic medical centers (AMCs).

Objective

To develop hypotheses regarding medical decision-making factors underlying this variation.

Design

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.

Setting

2 AMCs in the same state and health care system with disparate EOL ICU use.

Subjects

Hospital-based physicians responsible for ICU admission decisions.

Measurements

Treatment plan, prognosis, diagnosis, qualitative case perceptions and clinical reasoning.

Main Results

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.

Conclusions

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

Links to Exploration step

PMC:4026761

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<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>
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<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>
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<article-title>Advance Care Planning Norms May Contribute to Hospital Variation in End-of-life ICU Use: A Simulation Study</article-title>
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<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>
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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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