Document Detail

Patients' preferences for healthcare system reforms in Hungary: a conjoint analysis.
MedLine Citation:
PMID:  17132033     Owner:  NLM     Status:  MEDLINE    
OBJECTIVES: To illustrate how conjoint analysis can be used to identify patient preferences for healthcare policies, and to measure preferences for healthcare reforms in Hungary. DATA SOURCE/STUDY SETTING: Data was collected via a mail-based survey and a direct survey administered in a rheumatology out-patient centre in Flór Ferenc County Hospital, Budapest, Hungary (n = 86). STUDY DESIGN: We designed and administered a conjoint analysis to the study population. Attributes and attribute levels were developed on the basis of key informant interviews and a literature review. Additional demographic, occupation and healthcare utilisation data were also collected using surveys. A mixed effects linear probability model was estimated holding respondent characteristics constant and correcting for clustering. DATA COLLECTION: Conjoint analysis questionnaires were administered by a physician to 50 consecutive rheumatology patients in a clinic and an additional 36 were mailed by post. PRINCIPAL FINDINGS: The response rate for the physician-administered survey was 98% (but 18% of these were excluded for inconsistent preferences) and 53% for the mail survey, leaving a final sample of 59. Regression results (R2 = 56.8%) indicated that patients preferred a health system that was not cost constrained (p = 0.003), was based on solidarity (p < 0.001) and where patients were empowered (p = 0.024). Further, they would choose a system with no choice of provider to avoid co-payments (p = 0.005). CONCLUSIONS: This study demonstrates that patients have clear preferences for healthcare system policy. In order to develop evidence-based healthcare policy and to empower patients in the healthcare system, methods such as conjoint analysis offer a simple yet theoretically grounded basis for policy making.
Baktygul Akkazieva; Laszlo Gulacsi; Agnes Brandtmuller; Márta Péntek; John F P Bridges
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Applied health economics and health policy     Volume:  5     ISSN:  1175-5652     ISO Abbreviation:  Appl Health Econ Health Policy     Publication Date:  2006  
Date Detail:
Created Date:  2006-11-29     Completed Date:  2007-03-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101150314     Medline TA:  Appl Health Econ Health Policy     Country:  New Zealand    
Other Details:
Languages:  eng     Pagination:  189-98     Citation Subset:  IM    
Department of Tropical Hygiene and Public Health, University of Heidelberg, Heidelberg, Germany.
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MeSH Terms
Aged, 80 and over
Deductibles and Coinsurance
European Union
Health Care Costs
Health Care Reform / economics,  methods*
Health Care Surveys / methods
Health Services Needs and Demand / economics
Hospitals, County
Middle Aged
Models, Econometric*
Outpatient Clinics, Hospital / utilization
Patient Participation / economics
Patient Satisfaction / economics,  statistics & numerical data*
Quality of Health Care / economics
Regression Analysis

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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