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Conjoint Analysis: A Research Method to Study Patients' Preferences and Personalize Care
Basem Al-Omari1,2, Joviana Farhat1, Mai Ershaid1
1Department of Epidemiology and Population Health, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.
Journal of Personalized Medicine
|February 25, 2022
Summary
Conjoint analysis (CA) quantifies patient preferences in healthcare by presenting real-world choices. This method is increasingly popular, though sample size and validity require careful consideration.
Area of Science:
- Health Services Research
- Decision Science
- Market Research
Background:
- Conjoint Analysis (CA) is a valuable method for understanding patient preferences.
- It quantifies preferences by simulating real-world choices.
- CA is increasingly utilized in healthcare settings.
Purpose of the Study:
- To describe the Conjoint Analysis (CA) method and its healthcare applications.
- To provide researchers with a guide for conducting CA studies.
- To analyze publication and citation trends of CA.
Main Methods:
- Comprehensive literature search of PubMed, EMBASE, Web of Science, and Google Scholar.
- Online search of Web of Science Core Collection for publication and citation trends.
- Keywords included synonyms for Conjoint Analysis, limited to titles.
Main Results:
- CA publications show increasing popularity, with nearly 900 documents in 2021 and 20,000 citations.
- Healthcare sciences services is a top field for CA publications.
- Limitations include appropriate sample size, quality assessment, and external validity.
Conclusions:
- Conjoint Analysis is a growing and important method in healthcare research.
- Researchers can effectively quantify patient preferences using CA.
- Further research is needed to address limitations in sample size, quality assessment, and validity.
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