title: Quality-adjusted life years was a poor predictor of women's willingness to pay in acute and chronic conditions: results of a survey.
abstract: OBJECTIVE
  We investigated the relationship between quality-adjusted life years (QALYs) and willingness to pay (WTP) in acute and chronic conditions.
  
  
  METHODS
  Face-to-face interviews were used to collect data in a convenience sample of women. Participants completed one interview evaluating preferences for an acute condition, post-chemotherapy nausea and vomiting (PCNV), and the other interview for a chronic condition (breast cancer). Preferences were elicited for QALYs using visual analogue scale (VAS), and standard gamble in addition to WTP. Because QALYs and WTP are purportedly based on the same underlying theoretical foundations, WTP was regressed onto change in QALYs, age, income, and health status.
  
  
  RESULTS
  Regression analysis reported statistically significant models for all breast cancer (P < .001) and PCNV (P < .05) conditions tested. However, QALY was not a significant predictor of WTP.
  
  
  CONCLUSIONS
  The results of this study indicate QALYs was a poor predictor of WTP for the conditions tested. Linear combinations of change in QALYs, age, income, and health status were a better predictor of WTP for chronic than acute conditions. This can be attributed to violations of underlying assumptions in measurement of QALYs with acute conditions and to problems with the use of WTP with chronic conditions.
authors.affiliation: College of Pharmacy, The University of Georgia RC Wilson Building, Room 254, Athens, GA 30602-2354, USA. dfranic@rx.uga.edu
authors.forename: Duska M
authors.initials: DM
authors.lastname: Franic
authors.forename: Dev S
authors.initials: DS
authors.lastname: Pathak
authors.forename: Amiram
authors.initials: A
authors.lastname: Gafni
mesh_terms: D000208:Acute Disease / Q000628:therapy*; D000328:Adult; D000368:Aged; D000970:Antineoplastic Agents / Q000009:adverse effects; D001294:Attitude to Health; D001943:Breast Neoplasms / Q000191:economics / Q000628:therapy; D002908:Chronic Disease / Q000628:therapy*; D003362:Cost-Benefit Analysis; D005260:Female; D005382:Financing, Personal; D006801:Humans; D007182:Income; D008875:Middle Aged; D009325:Nausea / Q000139:chemically induced / Q000191:economics / Q000628:therapy; D017063:Outcome Assessment, Health Care / Q000379:methods*; D010147:Pain Measurement; D019057:Quality-Adjusted Life Years; D015203:Reproducibility of Results; D014839:Vomiting / Q000139:chemically induced / Q000191:economics / Q000628:therapy; D014932:Women's Health Services / Q000191:economics* / Q000706:statistics & numerical data
chemical_list: D000970:Antineoplastic Agents