Literature DB >> 21910513

Willingness to pay for adverse drug event regulatory actions.

Jacoline Bouvy1, Just Weemers, Huub Schellekens, Marc Koopmanschap.   

Abstract

BACKGROUND: Regulatory requirements for the pharmaceutical industry have become increasingly demanding with respect to the safety and effectiveness of drugs.
OBJECTIVE: The objective of this study was to determine the willingness to pay (WTP), of both the Dutch general public and dialysis patients, for regulatory requirements related to reducing the risk of pure red cell aplasia (PRCA) associated with epoetin alpha use.
METHODS: A survey was carried out in April 2009. The Dutch general public (n = 422) was approached through a survey sampling agency. Patients (n = 112) were included through several Dutch dialysis clinics because they are often treated with epoetin alpha and therefore were expected to have a higher WTP than the general public. The survey aimed to determine the WTP for reducing the risk of PRCA in epoetin alpha users from 4.5 to 0 per 10 000 patients per year, based on regulatory actions that have been taken by the European Medicines Agency (EMA). WTP was determined via a payment scale and an open-ended follow-up question. Patients were asked how much extra per year they would be willing to pay for their basic healthcare insurance. We used two censored regression models to test the association between WTP and a set of independent variables: a Tobit model with the stated WTP as the dependent variable and an interval regression model with the interval between the lower and upper bounds of the payment scale as the dependent variable.
RESULTS: The patients' mean WTP was significantly higher (€46.52) than that of the general public (€24.40). The Tobit model showed significant associations (α = 0.05) with WTP for dialysis patients, risk perception and respondents' opinions on costs of healthcare. The interval regression model showed significant associations with WTP for the same variables as the Tobit model and for one additional variable (risk aversion). Income did not significantly affect WTP. A scenario with a 10-fold larger risk reduction did not increase WTP significantly.
CONCLUSION: This study is, as far as we know, one of the first attempts to analyse the WTP for drug regulation and should in future be used in studies of the societal costs of drug regulation for epoetin alpha use. Our results indicate that the Dutch general public, especially Dutch dialysis patients, are willing to pay limited amounts to reduce the risk of serious adverse events associated with drug use.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21910513     DOI: 10.2165/11539860-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  32 in total

1.  On hypothetical bias and calibration in cost-benefit studies.

Authors:  B Liljas; K Blumenschein
Journal:  Health Policy       Date:  2000-05       Impact factor: 2.980

2.  Timing of new black box warnings and withdrawals for prescription medications.

Authors:  Karen E Lasser; Paul D Allen; Steffie J Woolhandler; David U Himmelstein; Sidney M Wolfe; David H Bor
Journal:  JAMA       Date:  2002-05-01       Impact factor: 56.272

3.  The contingency of contingent valuation. How much are people willing to pay against Alzheimer's disease?

Authors:  Sandra Nocera; Dario Bonato; Harry Telser
Journal:  Int J Health Care Finance Econ       Date:  2002-09

Review 4.  Willingness to pay for antihypertensive therapy--further results.

Authors:  M Johannesson; P O Johansson; B Kriström; U G Gerdtham
Journal:  J Health Econ       Date:  1993-04       Impact factor: 3.883

Review 5.  Outcome measurement in economic evaluation.

Authors:  M Johannesson; B Jönsson; G Karlsson
Journal:  Health Econ       Date:  1996 Jul-Aug       Impact factor: 3.046

6.  Women's willingness to pay out-of-pocket for drug treatment for osteoporosis before and after the enactment of regulations providing public funding: evidence from a natural experiment in Israel.

Authors:  P Werner; I Vered
Journal:  Osteoporos Int       Date:  2002-03       Impact factor: 4.507

Review 7.  Antibody-mediated pure red cell aplasia (PRCA): epidemiology, immunogenicity and risks.

Authors:  Iain C Macdougall
Journal:  Nephrol Dial Transplant       Date:  2005-05       Impact factor: 5.992

8.  Alcohol demand and risk preference.

Authors:  Dhaval Dave; Henry Saffer
Journal:  J Econ Psychol       Date:  2008-12

9.  Willingness to pay and time trade-off: sensitive to changes of quality of life in psoriasis patients?

Authors:  R Schiffner; J Schiffner-Rohe; M Gerstenhauer; F Hofstädter; M Landthaler; W Stolz
Journal:  Br J Dermatol       Date:  2003-06       Impact factor: 9.302

10.  Willingness to pay for weight-control treatment.

Authors:  Jin-Tan Liu; Meng-Wen Tsou; James K Hammitt
Journal:  Health Policy       Date:  2009-01-22       Impact factor: 2.980

View more
  4 in total

1.  A framework for assessing the economic value of pharmacovigilance in low- and middle-income countries.

Authors:  Joseph B Babigumira; Andy Stergachis; Hye Lyn Choi; Alexander Dodoo; Jude Nwokike; Louis P Garrison
Journal:  Drug Saf       Date:  2014-03       Impact factor: 5.606

2.  Active Surveillance versus Spontaneous Reporting for First-Line Antiretroviral Medicines in Namibia: A Cost-Utility Analysis.

Authors:  Marita Mann; Assegid Mengistu; Johannes Gaeseb; Evans Sagwa; Greatjoy Mazibuko; Joseph B Babigumira; Louis P Garrison; Andy Stergachis
Journal:  Drug Saf       Date:  2016-09       Impact factor: 5.606

3.  Determinants of willingness to pay for health services: a systematic review of contingent valuation studies.

Authors:  Caroline Steigenberger; Magdalena Flatscher-Thoeni; Uwe Siebert; Andrea M Leiter
Journal:  Eur J Health Econ       Date:  2022-02-15

4.  Eliciting willingness-to-pay to prevent hospital medication administration errors in the UK: a contingent valuation survey.

Authors:  Sarah R Hill; Nawaraj Bhattarai; Clare L Tolley; Sarah P Slight; Luke Vale
Journal:  BMJ Open       Date:  2022-02-01       Impact factor: 2.692

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.