EconPapers    
Economics at your fingertips  
 

Assessing willingness to pay for health care quality improvements

Md Sadik Pavel, Sayan Chakrabarty () and Jeff Gow

MPRA Paper from University Library of Munich, Germany

Abstract: Background Contingent valuation (CV) is used to estimate the willingness to pay (WTP) of consumers for specific attributes to improve the quality of health care they received in three hospitals in Bangladesh. Methods Random sample of 252 patients were interviewed to measure their willingness to pay for seven specified improvements in the quality of delivered medical care. Partial tobit regression and corresponding marginal effects analysis were used to analyze the data and obtain WTP estimates. Results Patients are willing to pay more if their satisfaction with three attributes of care are increased. These are: a closer doctor-patient relationship, increased drug availability and increased chances of recovery. The doctor patient relationship is considered most important by patients and exhibited the highest willingness to pay. Conclusions This study provides important information to policy makers about the monetary valuation of patients for improvements in certain attributes of health care in Bangladesh.

Keywords: Contingent; valuation; (CV); Willingness; to; pay; (WTP); Health; care; Quality; attributes; Bangladesh (search for similar items in EconPapers)
JEL-codes: I11 I18 (search for similar items in EconPapers)
Date: 2014-02-14
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/68591/1/MPRA_paper_68591.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:68591

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-22
Handle: RePEc:pra:mprapa:68591