Literature DB >> 21995832

Can patients diagnosed with schizophrenia complete choice-based conjoint analysis tasks?

John F P Bridges1, Elizabeth T Kinter, Annette Schmeding, Ina Rudolph, Axel Mühlbacher.   

Abstract

BACKGROUND: Schizophrenia is a severe mental illness associated with hallucinations, delusions, apathy, poor social functioning, and impaired cognition. Researchers and funders have been hesitant to focus efforts on treatment preferences of patients with schizophrenia because of the perceived cognitive burden that research methods, such as conjoint analysis, place on them.
OBJECTIVE: The objective of this study was to test if patients diagnosed with schizophrenia were able to complete a choice-based conjoint analysis (often referred to as discrete-choice experiments) and to test if meaningful trade-offs were being made.
METHODS: German outpatients diagnosed with schizophrenia were eligible to participate in this study if they were aged 18-65 years, had received treatment for at least 1 year and were not experiencing acute symptoms. Conjoint analysis tasks were based on six attributes, each with two levels, which were identified via a literature review and focus groups. A psychologist in a professional interview facility presented each respondent with the eight tasks with little explanation. All interviews were recorded, transcribed, and analyzed to verify that respondents understood the tasks. Preferences were assessed using logistic regression, with a correction for clustering.
RESULTS: We found evidence that the 21 patients diagnosed with schizophrenia participating in the study could complete conjoint analysis tasks in a meaningful way. Patients not only related to the scenarios presented in conjoint tasks, but explicitly stated that they used their own preferences to judge which scenarios were better. Statistical analysis confirmed all hypotheses about the attributes (i.e. all attributes had the expected sign). Having a supportive physician, not feeling slowed, and improvements in stressful situations (p < 0.01) were the most important attributes.
CONCLUSIONS: We found that patients diagnosed with schizophrenia can complete conjoint analysis tasks, that they base their decisions on their own preferences, and that patients make trade-offs between attributes.

Entities:  

Mesh:

Year:  2011        PMID: 21995832     DOI: 10.2165/11589190-000000000-00000

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


  28 in total

1.  Using conjoint analysis to take account of patient preferences and go beyond health outcomes: an application to in vitro fertilisation.

Authors:  M Ryan
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2.  An experiment on simplifying conjoint analysis designs for measuring preferences.

Authors:  Tara Maddala; Kathryn A Phillips; F Reed Johnson
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3.  The role of the patient in promoting patient-centered outcomes research.

Authors:  Michael J Klag; Ellen J Mackenzie; Christopher I Carswell; John F P Bridges
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4.  Conjoint Analysis Applications in Health - How are Studies being Designed and Reported?: An Update on Current Practice in the Published Literature between 2005 and 2008.

Authors:  Deborah Marshall; John F P Bridges; Brett Hauber; Ruthanne Cameron; Lauren Donnalley; Ken Fyie; F Reed Johnson
Journal:  Patient       Date:  2010-12-01       Impact factor: 3.883

5.  Does "process utility" exist? A case study of willingness to pay for laparoscopic cholecystectomy.

Authors:  C Donaldson; P Shackley
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6.  Estimating importance weights for the IWQOL-Lite using conjoint analysis.

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7.  The impact of weight gain on quality of life among persons with schizophrenia.

Authors:  David B Allison; Joan A Mackell; Diana D McDonnell
Journal:  Psychiatr Serv       Date:  2003-04       Impact factor: 3.084

8.  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

9.  Conducting discrete choice experiments to inform healthcare decision making: a user's guide.

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10.  Depressive syndromes in schizophrenic patients after discharge from hospital. ANI Study Group Berlin, Düsseldorf, Göttingen, Munich.

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2.  Constant-sum paired comparisons for eliciting stated preferences: a tutorial.

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3.  A test of concordance between patient and psychiatrist valuations of multiple treatment goals for schizophrenia.

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

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5.  Caregiver preferences for emerging duchenne muscular dystrophy treatments: a comparison of best-worst scaling and conjoint analysis.

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Review 6.  Discrete choice experiments in health economics: a review of the literature.

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7.  How Do Members of the Duchenne and Becker Muscular Dystrophy Community Perceive a Discrete-Choice Experiment Incorporating Uncertain Treatment Benefit? An Application of Research as an Event.

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Journal:  Patient       Date:  2019-04       Impact factor: 3.883

8.  Patient preferences for treating refractory overactive bladder in the UK.

Authors:  Hashim Hashim; Kathleen Beusterien; John F P Bridges; Kaitlan Amos; Linda Cardozo
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9.  Analysis of Patient Preferences in Lung Cancer - Estimating Acceptable Tradeoffs Between Treatment Benefit and Side Effects.

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Journal:  Patient Prefer Adherence       Date:  2020-06-03       Impact factor: 2.711

10.  Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia.

Authors:  Nichole Goodsmith; Amy N Cohen; Anthony W P Flynn; Alison B Hamilton; Gerhard Hellemann; Nancy Nowlin-Finch; Alexander S Young
Journal:  Psychiatr Serv       Date:  2021-01-12       Impact factor: 3.084

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