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

Overview
Title:
Adaptive Conjoint Analysis as individual preference assessment tool: Feasibility through the internet and reliability of preferences
Authors:
Pieterse AH, Berkers F, Baas-Thijssen MC, Marijnen CA, Stiggelbout AM
Journal:
Patient Educ Couns
Publication date:
2010
Volume:
78
Issue:
2
First page:
224
Last page:
233
ISSN:
1873-5134
Link to pubmed:
http://www.ncbi.nlm.nih.gov/pubmed/19581069
Publication type:
Journal
Free text

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.

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Adaptive Conjoint Analysis as individual preference assessment tool: Feasibility through the internet and reliability of preferences Pieterse AH, Berkers F, Baas-Thijssen MC, Marijnen CA, Stiggelbout AM. Patient Educ Couns 2010; 78(2):224-233.

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