Literature DB >> 9845253

Magnetic resonance imaging for the investigation of knee injuries: an investigation of preferences.

S Bryan1, M Buxton, R Sheldon, A Grant.   

Abstract

The conventional approach to the diagnosis and treatment of severe knee injuries is arthroscopy, a minimally invasive surgical procedure. Since arthroscopy is an invasive technique that carries risks, magnetic resonance imaging (MRI) is increasingly being used for diagnosis. MRI is potentially associated with diagnostic and therapeutic 'impacts', in that arthroscopy can be avoided. This paper reports a discrete choice conjoint analysis exercise that assessed the value placed on such 'impacts' by potential patients and investigated the degree to which respondents were willing to trade between process and outcome. The marginal rates of substitution between attributes were estimated. The results suggest that the diagnostic and therapeutic 'impacts' of MRI were valued by many respondents. The study has highlighted a number of important issues for the design and analysis of future health-related conjoint studies, including the use of treatment cost as an attribute, dealing with data from lexicographic respondents, and distinguishing between points of indifference and missing data.

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Year:  1998        PMID: 9845253     DOI: 10.1002/(sici)1099-1050(1998110)7:7<595::aid-hec381>3.0.co;2-e

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  28 in total

1.  Public involvement in health care priority setting: an economic perspective.

Authors:  Tracy Roberts; Stirling Bryan; Chris Heginbotham; Alison McCallum
Journal:  Health Expect       Date:  1999-12       Impact factor: 3.377

2.  Using conjoint analysis to elicit preferences for health care.

Authors:  M Ryan; S Farrar
Journal:  BMJ       Date:  2000-06-03

3.  Acceptability of willingness to pay techniques to consumers.

Authors:  Susan J Taylor; Carol L Armour
Journal:  Health Expect       Date:  2002-12       Impact factor: 3.377

4.  Measuring preferences for health care interventions using conjoint analysis: an application to HIV testing.

Authors:  Kathryn A Phillips; Tara Maddala; F Reed Johnson
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

5.  Measuring what people value: a comparison of "attitude" and "preference" surveys.

Authors:  Kathryn A Phillips; F Reed Johnson; Tara Maddala
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

6.  Discrete choice experiments in health economics. For better or for worse?

Authors:  Stirling Bryan; Paul Dolan
Journal:  Eur J Health Econ       Date:  2004-10

7.  Conjoint analysis: a 'new' way to evaluate patients' preferences.

Authors:  Sarah T Hawley
Journal:  Patient       Date:  2008-12-01       Impact factor: 3.883

8.  Patient preferences and linear scoring rules for patient-reported outcomes.

Authors:  Ateesha F Mohamed; A Brett Hauber; F Reed Johnson; Cheryl D Coon
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

9.  Using discrete choice experiments within a cost-benefit analysis framework: some considerations.

Authors:  Emma McIntosh
Journal:  Pharmacoeconomics       Date:  2006       Impact factor: 4.981

10.  Multiple sclerosis patients' benefit-risk preferences: serious adverse event risks versus treatment efficacy.

Authors:  F Reed Johnson; George Van Houtven; Semra Ozdemir; Steve Hass; Jeff White; Gordon Francis; David W Miller; J Theodore Phillips
Journal:  J Neurol       Date:  2009-04-27       Impact factor: 4.849

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