Literature DB >> 7636174

An introduction to utility measurement in health care.

B M Ferguson1, P A Keown.   

Abstract

Key decisions regarding the introduction and optimal use of health technologies often are made on an ad hoc basis. Quantitative information on effectiveness, if incorporated into the decision-making process, would establish a reasoned and defensible basis for the introduction and optimal use of therapeutic technologies. Utility measures provide a single summary score of effectiveness which, when combined with cost information, permits the calculation of cost-utility ratios for alternative technologies. A number of techniques have been developed to elicit utilities, including standard gamble, time trade-off, rating scales, the Quality of Well-Being Scale, and the Health Utility Index. No single method has been accepted yet as the gold standard. Selection therefore must be guided by the specific objectives of the assessment.

Mesh:

Year:  1995        PMID: 7636174     DOI: 10.1086/647097

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  5 in total

1.  Measuring the health burden of chronic disease and injury using health adjusted life expectancy and the Health Utilities Index.

Authors:  D G Manuel; S E Schultz; J A Kopec
Journal:  J Epidemiol Community Health       Date:  2002-11       Impact factor: 3.710

2.  Measuring women's preferences for breast cancer treatments and BRCA1/BRCA2 testing.

Authors:  M Cappelli; L Surh; L Humphreys; S Verma; D Logan; A Hunter; J Allanson
Journal:  Qual Life Res       Date:  2001       Impact factor: 4.147

3.  Age- and sex-specific Canadian utility norms, based on the 2013-2014 Canadian Community Health Survey.

Authors:  Jason R Guertin; David Feeny; Jean-Eric Tarride
Journal:  CMAJ       Date:  2018-02-12       Impact factor: 8.262

4.  Utility scores for chronic conditions in a community-dwelling population.

Authors:  N Mittmann; K Trakas; N Risebrough; B A Liu
Journal:  Pharmacoeconomics       Date:  1999-04       Impact factor: 4.981

5.  Impact of impairment and secondary health conditions on health preference among Canadians with chronic spinal cord injury.

Authors:  Catharine Craven; Sander L Hitzig; Nicole Mittmann
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

  5 in total

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