English, Article edition: Patients' Preferences for Healthcare System Reforms in Hungary: A Conjoint Analysis Baktygul Akkazieva; Laszlo Gulacsi; Agnes Brandtmuller; ...

User activity

Share to:
 
Bookmark: http://trove.nla.gov.au/version/93121
Physical Description
  • article
Language
  • English

Edition details

Title
  • Patients' Preferences for Healthcare System Reforms in Hungary: A Conjoint Analysis
Author
  • Baktygul Akkazieva
  • Laszlo Gulacsi
  • Agnes Brandtmuller
  • Marta Pentek
  • John F.P. Bridges
Physical Description
  • article
Notes
  • 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 Flor 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.
  • Data-collection, Health-policy, Patient-preference
  • RePEc:wkh:aheahp:v:5:y:2006:i:3:p:189-198
Language
  • English
Contributed by
OAIster

Get this edition

  • Set up My libraries

    How do I set up "My libraries"?

    In order to set up a list of libraries that you have access to, you must first login or sign up. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen.

  • All (1)
  • Unknown (1)
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.

User activity


e.g. test cricket, Perth (WA), "Parkes, Henry"

Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Be the first to add a tag for this edition

Be the first to add this to a list

Comments and reviews

What are comments? Add a comment

No user comments or reviews for this version

Add a comment