Literature DB >> 8818121

Public perceptions of the importance of prognosis in allocating transplantable livers to children.

P A Ubel1, G Loewenstein.   

Abstract

BACKGROUND: The system to allocate scarce transplantable livers has been criticized for not giving enough weight to the prognoses of the patients receiving the transplants, but little research has been done looking at how the public weights the relative importances of efficacy and equity in distributing the organs.
METHODS: This study was an experimental survey of prospective jurors asked to distribute transplantable livers among transplant candidates grouped according to their prognoses. The relative prognoses of the transplant candidates were varied across survey versions.
RESULTS: As the prognostic difference between transplant groups increased, the subjects became less likely to distribute the organs equally between them (p < 0.005). However, the subjects' willingness to base allocation on prognosis was moderated by a number of factors, including their understanding of how to use prognostic information and their attitudes toward using prognostic information for individuals versus groups. Thus, even when the relative prognoses of transplant groups differed by 60%, less than a fourth of the subjects were willing to give all the organs to the better-prognosis group.
CONCLUSION: Many subjects feel that prognosis is an important consideration in allocating scarce livers. However, few are willing to base allocation purely on maximizing survival. Policies that base allocations purely on outcomes will violate the values of a significant portion of the public.

Entities:  

Keywords:  Empirical Approach; Health Care and Public Health; Professional Patient Relationship

Mesh:

Year:  1996        PMID: 8818121     DOI: 10.1177/0272989X9601600307

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  9 in total

Review 1.  Resource allocation, social values and the QALY: a review of the debate and empirical evidence.

Authors:  David L B Schwappach
Journal:  Health Expect       Date:  2002-09       Impact factor: 3.377

2.  Use of quality adjusted life years and life years gained as benchmarks in economic evaluations: a critical appraisal.

Authors:  Christopher Evans; Manouche Tavakoli; Bruce Crawford
Journal:  Health Care Manag Sci       Date:  2004-02

3.  A new organ transplantation location-allocation policy: a case study of Italy.

Authors:  Maria Elena Bruni; Domenico Conforti; Nicola Sicilia; Sandro Trotta
Journal:  Health Care Manag Sci       Date:  2006-05

4.  Constant-sum paired comparisons for eliciting stated preferences: a tutorial.

Authors:  Chris Skedgel; Dean A Regier
Journal:  Patient       Date:  2015-04       Impact factor: 3.883

5.  Sociodemographic differences in early access to liver transplantation services.

Authors:  C L Bryce; D C Angus; R M Arnold; C-C H Chang; M H Farrell; C Manzarbeitia; I R Marino; M S Roberts
Journal:  Am J Transplant       Date:  2009-07-23       Impact factor: 8.086

6.  Assessing priorities for allocation of donor liver grafts: survey of public and clinicians.

Authors:  J Neuberger; D Adams; P MacMaster; A Maidment; M Speed
Journal:  BMJ       Date:  1998-07-18

7.  The Effect of Race, Sex, and Insurance Status on Time-to-Listing Decisions for Liver Transplantation.

Authors:  Cindy L Bryce; Chung-Chou Ho Chang; Derek C Angus; Robert M Arnold; Maxwell Farrell; Mark S Roberts
Journal:  J Transplant       Date:  2010-12-23

8.  Societal preferences for standard health insurance coverage in the Netherlands: a cross-sectional study.

Authors:  Ineke van der Wulp; Wilbert B van den Hout; Marieke de Vries; Anne M Stiggelbout; Elske M van den Akker-van Marle
Journal:  BMJ Open       Date:  2012-04-05       Impact factor: 2.692

9.  The Intensive Care Lifeboat: a survey of lay attitudes to rationing dilemmas in neonatal intensive care.

Authors:  C Arora; J Savulescu; H Maslen; M Selgelid; D Wilkinson
Journal:  BMC Med Ethics       Date:  2016-11-08       Impact factor: 2.652

  9 in total

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