Literature DB >> 26186668

The Language of End-of-Life Decision Making: A Simulation Study.

Annie Lu1, Deepika Mohan2, Stewart C Alexander3, Craig Mescher4, Amber E Barnato5,6.   

Abstract

BACKGROUND: Framing is known to influence decision making.
OBJECTIVE: The study objective was to describe language used by physicians when discussing treatment options with a critically and terminally ill elder.
METHODS: High-fidelity simulation was used, involving an elder with end-stage cancer and life-threatening hypoxia, followed by a debriefing interview. Subjects were hospitalist, emergency medicine, and critical care physicians from three academic medical centers. Measures were observation of encounters in real time followed by content analysis of simulation and debriefing interview transcripts. During the simulation we identified the first mention ("broaching") of principal treatment options--intubation and mechanical ventilation (life-sustaining treatment [LST]) and palliation in anticipation of death (palliation)--and used constant comparative methods to identify language used. We identified physician opinions about the use of LST in this clinical context during the debriefing interviews, and compared language used with opinions.
RESULTS: Among 114 physician subjects, 106 discussed LST, 86 discussed palliation, and 84 discussed both. We identified five frames: will (decided), must (necessary), should (convention), could (option), and ask (elicitation of preferences). Physicians broached LST differently than palliation (p<0.01), most commonly framing LST as necessary (53%), while framing palliation as optional (49%). Among physicians who framed LST as imperative (will or must), 16 (30%) felt intubation would be inappropriate in this clinical situation.
CONCLUSIONS: In this high-fidelity simulation experiment involving a critically and terminally ill elder, the majority of physicians framed the available options in ways implying LST was the expected or preferred choice. Framing of treatment options could influence ultimate treatment decisions.

Entities:  

Mesh:

Year:  2015        PMID: 26186668      PMCID: PMC4696426          DOI: 10.1089/jpm.2015.0089

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  18 in total

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Review 2.  Defaults and donation decisions.

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3.  Toward shared decision making at the end of life in intensive care units: opportunities for improvement.

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4.  Clinical practice guidelines for support of the family in the patient-centered intensive care unit: American College of Critical Care Medicine Task Force 2004-2005.

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5.  Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango).

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8.  Message framing and perinatal decisions.

Authors:  Marlyse F Haward; Ryan O Murphy; John M Lorenz
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9.  Using simulation to isolate physician variation in intensive care unit admission decision making for critically ill elders with end-stage cancer: a pilot feasibility study.

Authors:  Amber E Barnato; Heather E Hsu; Cindy L Bryce; Judith R Lave; Lillian L Emlet; Derek C Angus; Robert M Arnold
Journal:  Crit Care Med       Date:  2008-12       Impact factor: 7.598

10.  The influence of default options on the expression of end-of-life treatment preferences in advance directives.

Authors:  Laura M Kressel; Gretchen B Chapman; Elaine Leventhal
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5.  Understanding Factors Contributing to Inappropriate Critical Care: A Mixed-Methods Analysis of Medical Record Documentation.

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Review 6.  Simulation training in palliative care: state of the art and future directions.

Authors:  Dmitry Kozhevnikov; Laura J Morrison; Matthew S Ellman
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7.  Cultural Adaptation, Validation, and Analysis of the Self-Efficacy in Palliative Care Scale for Use with Spanish Nurses.

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  7 in total

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