Literature DB >> 29622300

Measuring Patient Preferences: An Overview of Methods with a Focus on Discrete Choice Experiments.

Glen S Hazlewood1.   

Abstract

There is increasing recognition of the importance of patient preferences and methodologies to measure them. In this article, methods to quantify patient preferences are reviewed, with a focus on discrete choice experiments. In a discrete choice experiment, patients are asked to choose between 2 or more treatments. The results can be used to quantify the relative importance of treatment outcomes and/or other considerations relevant to medical decision making. Conducting and interpreting a discrete choice experiment requires multiple steps and an understanding of the potential biases that can arise, which we review in this article with examples in rheumatic diseases.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bias; Discrete choice experiment; Method; Patient preference; Review; Rheumatic disease; Rheumatoid arthritis

Mesh:

Year:  2018        PMID: 29622300     DOI: 10.1016/j.rdc.2018.01.009

Source DB:  PubMed          Journal:  Rheum Dis Clin North Am        ISSN: 0889-857X            Impact factor:   2.670


  7 in total

Review 1.  Patient preferences for rheumatoid arthritis treatment.

Authors:  Betty Hsiao; Liana Fraenkel
Journal:  Curr Opin Rheumatol       Date:  2019-05       Impact factor: 5.006

2.  Research design considerations for randomized controlled trials of spinal cord stimulation for pain: Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials/Institute of Neuromodulation/International Neuromodulation Society recommendations.

Authors:  Nathaniel Katz; Robert H Dworkin; Richard North; Simon Thomson; Sam Eldabe; Salim M Hayek; Brian H Kopell; John Markman; Ali Rezai; Rod S Taylor; Dennis C Turk; Eric Buchser; Howard Fields; Gregory Fiore; McKenzie Ferguson; Jennifer Gewandter; Chris Hilker; Roshini Jain; Angela Leitner; John Loeser; Ewan McNicol; Turo Nurmikko; Jane Shipley; Rahul Singh; Andrea Trescot; Robert van Dongen; Lalit Venkatesan
Journal:  Pain       Date:  2021-07-01       Impact factor: 6.961

3.  Treatment Preferences for Cardiac Procedures of Patients With Chronic Kidney Disease in Acute Coronary Syndrome: Design and Pilot Testing of a Discrete Choice Experiment.

Authors:  T Wilson; P Javaheri; J Finlay; G Hazlewood; S B Wilton; T Sajobi; A Levin; W Pearson; C Connolly; M T James
Journal:  Can J Kidney Health Dis       Date:  2021-01-27

4.  Perceived access to PrEP as a critical step in engagement: A qualitative analysis and discrete choice experiment among young men who have sex with men.

Authors:  Elizabeth A Asiago-Reddy; John McPeak; Riccardo Scarpa; Amy Braksmajer; Nicola Ruszkowski; James McMahon; Andrew S London
Journal:  PLoS One       Date:  2022-01-26       Impact factor: 3.240

5.  Functional capacity vs side effects: treatment attributes to consider when individualising treatment for patients with rheumatoid arthritis.

Authors:  Karin Schölin Bywall; Bente Appel Esbensen; Marta Lason; Marie Heidenvall; Inger Erlandsson; Jennifer Viberg Johansson
Journal:  Clin Rheumatol       Date:  2021-10-15       Impact factor: 2.980

Review 6.  Patient Preferences for Treatment Outcomes in Oncology with a Focus on the Older Patient-A Systematic Review.

Authors:  Petronella A L Nelleke Seghers; Anke Wiersma; Suzanne Festen; Mariken E Stegmann; Pierre Soubeyran; Siri Rostoft; Shane O'Hanlon; Johanneke E A Portielje; Marije E Hamaker
Journal:  Cancers (Basel)       Date:  2022-02-23       Impact factor: 6.639

7.  Patient preferences for maintenance therapy in Crohn's disease: A discrete-choice experiment.

Authors:  Glen S Hazlewood; Gyanendra Pokharel; Robert Deardon; Deborah A Marshall; Claire Bombardier; George Tomlinson; Christopher Ma; Cynthia H Seow; Remo Panaccione; Gilaad G Kaplan
Journal:  PLoS One       Date:  2020-01-16       Impact factor: 3.240

  7 in total

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