Literature DB >> 21336127

Patient and healthcare professional factors influencing end-of-life decision-making during critical illness: a systematic review.

David W Frost1, Deborah J Cook, Daren K Heyland, Robert A Fowler.   

Abstract

OBJECTIVES: The need for better understanding of end-of-life care has never been greater. Debate about recent U.S. healthcare system reforms has highlighted that end-of-life decision-making is contentious. Providing compassionate end-of-life care that is appropriate and in accordance with patient wishes is an essential component of critical care. Because discord can undermine optimal end-of-life care, knowledge of factors that influence decision-making is important. We performed a systematic review to determine which factors are known to influence end-of-life decision-making among patients and healthcare providers. DATA SOURCES, SELECTION, AND ABSTRACTION: We conducted a structured search of Ovid Medline for interventional and observational research articles incorporating critical care and end-of-life decision-making terms. DATA SYNTHESIS: Of 6259 publications, 102 were relevant to our review question. Patient factors predicting less intensive end-of-life care include increasing age, comorbidity, and limited functional status; these factors appear to be influential for both clinicians and patients. Patient and clinician race, ethnicity, and nationality also appear to influence the technological intensity of end-of-life care. In general, white patients and those in North America and Northern Europe may be less likely to desire intensive end-of-life care than others. Physicians of similar geo-ethnic origin to patients appear less likely to prescribe such therapy. Physicians with more clinical experience and those routinely working in the intensive care unit are less likely than other physicians to recommend technologically intense care for critically ill patients at the end-of-life.
CONCLUSIONS: Patients and clinicians may approach end-of-life discussions with different expectations and preferences, influenced by religion, race, culture, and geography. Appreciation of those factors associated with more and less technologically intense care may raise awareness, aid communication, and guide clinicians in end-of-life discussions.

Entities:  

Mesh:

Year:  2011        PMID: 21336127     DOI: 10.1097/CCM.0b013e31820eacf2

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  71 in total

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Authors:  Christina D Mack; William Carpenter; Anne-Marie Meyer; Hanna Sanoff; Til Stürmer
Journal:  Cancer       Date:  2011-11-09       Impact factor: 6.860

2.  Development and Pilot Testing of a Simulation to Study How Physicians Facilitate Surrogate Decision Making Based on Critically Ill Patients' Values and Preferences.

Authors:  Leslie P Scheunemann; Ramy Khalil; Padma S Rajagopal; Robert M Arnold
Journal:  J Pain Symptom Manage       Date:  2018-11-05       Impact factor: 3.612

Review 3.  A few realistic questions raised by organ retrieval in the intensive care unit.

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Journal:  Ann Transl Med       Date:  2017-12

4.  The luck of the draw: physician-related variability in end-of-life decision-making in intensive care.

Authors:  Dominic J C Wilkinson; Robert D Truog
Journal:  Intensive Care Med       Date:  2013-02-22       Impact factor: 17.440

5.  Factors that contribute to physician variability in decisions to limit life support in the ICU: a qualitative study.

Authors:  Michael E Wilson; Lori M Rhudy; Beth A Ballinger; Ann N Tescher; Brian W Pickering; Ognjen Gajic
Journal:  Intensive Care Med       Date:  2013-04-05       Impact factor: 17.440

6.  Withholding and withdrawal of life-sustaining treatments in low-middle-income versus high-income Asian countries and regions.

Authors:  Jason Phua; Gavin M Joynt; Masaji Nishimura; Yiyun Deng; Sheila Nainan Myatra; Yiong Huak Chan; Nguyen Gia Binh; Cheng Cheng Tan; Mohammad Omar Faruq; Yaseen M Arabi; Bambang Wahjuprajitno; Shih-Feng Liu; Seyed Mohammad Reza Hashemian; Waqar Kashif; Dusit Staworn; Jose Emmanuel Palo; Younsuck Koh
Journal:  Intensive Care Med       Date:  2016-04-12       Impact factor: 17.440

7.  End-of-life decision making in the context of chronic life-limiting disease: a concept analysis and conceptual model.

Authors:  Kristin Levoy; Elise C Tarbi; Joseph P De Santis
Journal:  Nurs Outlook       Date:  2020-09-15       Impact factor: 3.250

8.  Quality versus quantity in end-of-life choices of cancer patients and support persons: a discrete choice experiment.

Authors:  Amy Waller; Rob Sanson-Fisher; Scott D Brown; Laura Wall; Justin Walsh
Journal:  Support Care Cancer       Date:  2018-05-03       Impact factor: 3.603

9.  A multicenter survey of Hispanic caregiver preferences for patient decision control in the United States and Latin America.

Authors:  Sriram Yennurajalingam; Antonio Noguera; Henrique Afonseca Parsons; Isabel Torres-Vigil; Eva Rosina Duarte; Alejandra Palma; Sofia Bunge; J Lynn Palmer; Marvin Omar Delgado-Guay; Eduardo Bruera
Journal:  Palliat Med       Date:  2013-05-13       Impact factor: 4.762

10.  A prospective determination of the incidence of perceived inappropriate care in critically ill patients.

Authors:  Rohit K Singal; Robert Sibbald; Brenda Morgan; Mel Quinlan; Neil Parry; Michael Radford; Claudio M Martin
Journal:  Can Respir J       Date:  2013-12-23       Impact factor: 2.409

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