Literature DB >> 19581069

Adaptive Conjoint Analysis as individual preference assessment tool: feasibility through the internet and reliability of preferences.

Arwen H Pieterse1, Frank Berkers, Monique C M Baas-Thijssen, Corrie A M Marijnen, Anne M Stiggelbout.   

Abstract

OBJECTIVE: Patient values are not routinely assessed in clinical practice. Adaptive Conjoint Analysis (ACA) is increasingly applied in studies assessing treatment preferences, and could provide a means to routinely assess individual patients' treatment preferences.
METHODS: An ACA-questionnaire was administered three times (7-10 days apart) to 98 long-term rectal cancer survivors either on a portable computer or through internet, to assess whether (a) responses differ according to administration mode, (b) relative importances of rectal cancer treatment outcomes (survival, local control, incontinence, sexual problems) consolidate over time, (c) ACA-outcomes are sufficiently reliable (ICC) for use in individual decision-making. We also evaluated patients' acceptance of ACA.
RESULTS: Mode did not affect ACA-completion or evaluation. Importance scores did not consolidate over time. ICCs were poor for sexual problems and fair for the other outcomes, and were at least equal or higher from first to second retest. Most participants valued completing the ACA-questionnaire and learning their results.
CONCLUSION: Values did not show consolidation over time. ACA-derived preferences should not determine which treatment patients should choose. PRACTICE IMPLICATIONS: Findings extend ACA-validation studies to the health care setting and suggest that ACA-questionnaires might be appreciated as adjuncts to treatment decision-making in newly diagnosed patients. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19581069     DOI: 10.1016/j.pec.2009.05.020

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  10 in total

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2.  Elderly patients' experiences using adaptive conjoint analysis software as a decision aid for osteoarthritis of the knee.

Authors:  Donna Rochon; Jan M Eberth; Liana Fraenkel; Robert J Volk; Simon N Whitney
Journal:  Health Expect       Date:  2012-09-20       Impact factor: 3.377

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Authors:  James G Dolan
Journal:  Patient       Date:  2010       Impact factor: 3.883

Review 4.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Michael D Clark; Domino Determann; Stavros Petrou; Domenico Moro; Esther W de Bekker-Grob
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5.  Adaptive choice-based conjoint analysis: a new patient-centered approach to the assessment of health service preferences.

Authors:  Charles E Cunningham; Ken Deal; Yvonne Chen
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

6.  Understanding Preferences for Treatment After Hypothetical First-Time Anterior Shoulder Dislocation: Surveying an Online Panel Utilizing a Novel Shared Decision-Making Tool.

Authors:  Ben Streufert; Shelby D Reed; Lori A Orlando; Dean C Taylor; Joel C Huber; Richard C Mather
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7.  Comparing internet and face-to-face surveys as methods for eliciting preferences for social care-related quality of life: evidence from England using the ASCOT service user measure.

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8.  Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis.

Authors:  Holly O Witteman; Ruth Ndjaboue; Gratianne Vaisson; Selma Chipenda Dansokho; Bob Arnold; John F P Bridges; Sandrine Comeau; Angela Fagerlin; Teresa Gavaruzzi; Melina Marcoux; Arwen Pieterse; Michael Pignone; Thierry Provencher; Charles Racine; Dean Regier; Charlotte Rochefort-Brihay; Praveen Thokala; Marieke Weernink; Douglas B White; Celia E Wills; Jesse Jansen
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Review 9.  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
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10.  Older Cancer Patients' User Experiences With Web-Based Health Information Tools: A Think-Aloud Study.

Authors:  Sifra Bolle; Geke Romijn; Ellen M A Smets; Eugene F Loos; Marleen Kunneman; Julia C M van Weert
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  10 in total

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