Literature DB >> 22272992

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

Sarah T Hawley1.   

Abstract

Entities:  

Year:  2008        PMID： 22272992     DOI： 10.2165/01312067-200801040-00006

Source DB:  PubMed          Journal:  Patient        ISSN： 1178-1653            Impact factor:   3.883


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  18 in total

1.  A role for conjoint analysis in technology assessment in health care?

Authors:  M Ryan
Journal:  Int J Technol Assess Health Care       Date:  1999       Impact factor: 2.188

Review 2.  Measuring patients' preferences for treatment and perceptions of risk.

Authors:  A Bowling; S Ebrahim
Journal:  Qual Health Care       Date:  2001-09

3.  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

4.  Policy support for patient-centered care: the need for measurable improvements in decision quality.

Authors:  Karen R Sepucha; Floyd J Fowler; Albert G Mulley
Journal:  Health Aff (Millwood)       Date:  2004       Impact factor: 6.301

5.  Issues that May Affect the Validity and Reliability of Willingness-to-Pay Estimates in Stated-Preference Studies.

Authors:  A Brett Hauber
Journal:  Patient       Date:  2008-12-01       Impact factor: 3.883

6.  Comparison of two multi-criteria decision techniques for eliciting treatment preferences in people with neurological disorders.

Authors:  Maarten J Ijzerman; Janine A van Til; Govert J Snoek
Journal:  Patient       Date:  2008-12-01       Impact factor: 3.883

Review 7.  Doing the right thing: systems support for decision quality in cancer care.

Authors:  Karen Sepucha; Elissa Ozanne; Albert G Mulley
Journal:  Ann Behav Med       Date:  2006-12

8.  Using conjoint analysis to assess women's preferences for miscarriage management.

Authors:  M Ryan; J Hughes
Journal:  Health Econ       Date:  1997 May-Jun       Impact factor: 3.046

9.  Eliciting public preferences for healthcare: a systematic review of techniques.

Authors:  M Ryan; D A Scott; C Reeves; A Bate; E R van Teijlingen; E M Russell; M Napper; C M Robb
Journal:  Health Technol Assess       Date:  2001       Impact factor: 4.014

10.  Conjoint Analysis at the Individual Patient Level: Issues to Consider as We Move from a Research to a Clinical Tool.

Authors:  Liana Fraenkel
Journal:  Patient       Date:  2008-10-01       Impact factor: 3.883
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  2 in total

1.  Patients' Preferences for Generic and Branded Over-the-Counter Medicines: An Adaptive Conjoint Analysis Approach.

Authors:  Merja Halme; Kari Linden; Kimmo Kääriä
Journal:  Patient       Date:  2009-12-01       Impact factor: 3.883

2.  Patient priorities and the doorknob phenomenon in primary care: Can technology improve disclosure of patient stressors?

Authors:  Marsha N Wittink; Patrick Walsh; Sule Yilmaz; Michael Mendoza; Richard L Street; Benjamin P Chapman; Paul Duberstein
Journal:  Patient Educ Couns       Date:  2017-08-08
  2 in total

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