Eliciting preferences for priority setting in genetic testing: A pilot study comparing best-worst scaling and discrete-choice experiments

European Journal of Human Genetics

Volumn 21, Issue 11, 2013, Pages 1202-1208

  Severin, Franziska ^a   Schmidtke, Jörg ^b   Mühlbacher, Axel ^c   Rogowski, Wolf H ^a,d  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b HANNOVER MEDICAL SCHOOL   (Germany)

^c Hochschule Neubrandenburg   (Germany)

^d LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

Author keywords

best worst scaling; discrete choice experiment; genetic testing; priority setting; resource allocation

Indexed keywords

ARTICLE; BEST WORST SCALING EXPERIMENT; CONTROLLED STUDY; DECISION MAKING; DISCRETE CHOICE EXPERIMENT; EXPERIMENTAL DESIGN; FEASIBILITY STUDY; FEMALE; GENETIC SCREENING; HUMAN; INTERVIEW; MALE; MORBIDITY; MORTALITY; PILOT STUDY; PREVALENCE; PRIORITY JOURNAL; QUESTIONNAIRE; SCIENTIST;

CHOICE BEHAVIOR; COGNITION; FEMALE; GENETIC TESTING; HUMANS; LOGISTIC MODELS; MALE; PILOT PROJECTS;

EID: 84885937148     PISSN: 10184813     EISSN: 14765438     Source Type: Journal    
DOI: 10.1038/ejhg.2013.36     Document Type: Article

References (33)

1. Javaher P, Kaariainen H, Kristoffersson U et al: EuroGentest: DNA-based testing for heritable disorders in Europe. Community Genet 2008; 11: 75-120.
2. Schmidtke J, Pabst B, Nippert I: DNA-based genetic testing is rising steeply in a national health care system with open access to services: a survey of genetic test use in Germany, 1996-2002. Genet Test 2005; 9: 80-84. (Pubitemid 40586433)
3. Krawczak M, Caliebe A, Croucher PJ, Schmidtke J: On the testing load incurred by cascade genetic carrier screening for Mendelian disorders: a brief report. Genet Test 2007; 11: 417-419.
4. National center for priority setting in health care. Resolving health care's difficult choices-Survey of priority setting in Sweden and an analysis of principles and guidelines on priorities in health care. Linköping 2008.
5. Rogowski WH, Hartz SC, John JH: Clearing up the hazy road from bench to bedside: a framework for integrating the fourth hurdle into translational medicine. BMC Health Serv Res 2008; 8: 194.
6. Adair A, Hyde-Lay R, Einsiedel E, Caulfield T: Technology assessment and resource allocation for predictive genetic testing: a study of the perspectives of Canadian genetic health care providers. BMC Med Ethics 2009; 10: 6.
7. Caulfield T, Burgess MM, Williams-Jones B: Providing genetic testing through the private sector: a view from Canada. Can Policy Res 2: 72-81.
8. Martin DK, Giacomini M, Singer PA: Fairness, accountability for reasonableness, and the views of priority setting decision-makers. Health Policy 2002; 61: 279-290. (Pubitemid 34722781)
9. Rogowski WH, Grosse SD, John J et al: Points to consider in assessing and appraising predictive genetic tests. Community Genet 2010; 1: 185-194.
10. Rogowski WH, Grosse SD, Khoury MJ: Challenges of translating genetic tests into clinical and public health practice. Nature Rev Genet 2009; 10: 489-495.
11. Grosse SD, Wordsworth S, Payne K: Economic methods for valuing the outcomes of genetic testing: beyond cost-effectiveness analysis. Genet Med 2008; 10: 648-654.
12. Mills A, Bennett B, Bloom G, Angel M, Gonzá lez-Block M, Pathmanathan I: Strengthening health systems: the role and promise of policy and systems research. Global Forum for Health Research, Alliance for Health Policy and Systems Research, Geneva: Switzerland. Available at. http://www.who.int/ alliance-hpsr/resources/Strengthening-complet.pdf
13. Green C, Gerard K: Exploring the social value of health-care interventions: a stated preference discrete choice experiment. Health Econ 2009; 18: 951-976.
14. Baltussen R, Ten Asbroek AH, Koolman X, Shrestha N, Bhattarai P, Niessen LW: Priority setting using multiple criteria: should a lung health programme be implemented in Nepal? Health Policy Plan 2007; 22: 178-185. (Pubitemid 47355782)
15. De Bekker-Grob EW, Ryan M, Gerard K: Discrete choice experiments in health economics: a review of the literature. Health Econ 2010; 21: 145-172.
16. Schmidtke J, Cassiman JJ: The EuroGentest clinical utility gene cards. Eur J Hum Genet 2010; 18: 1068.
17. Daniels N, Sabin J: Setting Limits Fairly: Can We Learn to Share Medical Resources?. Oxford University Press, Inc., 2002.
18. Mangham LJ, Hanson K, McPake B: How to do (or not to do). Designing a discrete choice experiment for application in a low-income country. Health Policy Plan 2009; 24: 151-158.
19. Viney R, Lancsar E, Louviere J: Discrete choice experiments to measure consumer preferences for health and healthcare. Expert Rev Pharmacoecon Outcomes Res 2002; 2: 319-326.
20. Regier DA, Ryan M, Phimister E, Marra CA: Bayesian and classical estimation of mixed logit: an application to genetic testing. J Health Econ 2009; 28: 598-610.
21. Regier DA, Friedman JM, Makela N, Ryan M, Marra CA: Valuing the benefit of diagnostic testing for genetic causes of idiopathic developmental disability: willingness to pay from families of affected children. Clin Genet 2009; 75: 514-521.
22. Flynn TN: Valuing citizen and patient preferences in health: recent developments in three types of best-worst scaling. Expert Rev Pharmacoecon Outcomes Res 2010; 10: 259-267.
23. Louviere J, Hensher D, Swait J: Stated Choice Methods: Analysis and Applications. Cambridge University Press: Cambridge, 2000.
24. Potoglou D, Burge P, Flynn T et al: Best-worst scaling vs. discrete choice experiments: an empirical comparison using social care data. Soc Sci Med 2011; 72: 1717-1727.
25. Lancsar E, Louviere J: Deleting 'irrational' responses from discrete choice experiments: a case of investigating or imposing preferences? Health Econ 2006; 15: 797-811. (Pubitemid 44184131)
26. Marley AA, Flynn TN, Louviere JJ: Probabilistic models of set-dependent and attributelevel best-worst choice. Mathemat Psychol 2008; 52: 281-296.
27. Swait J, Louviere J: The role of the scale parameter in the estimation and comparison of multinomial logit models. Marketing Res 1993; 30: 305-314.
28. Guindo LA, Wagner M, Baltussen R et al: From efficacy to equity: Literature review of decision criteria for resource allocation and healthcare decisionmaking. Cost Eff Resour Alloc 2012; 10: 9.
29. Flynn TN, Louviere JJ, Peters TJ, Coast J: Best-worst scaling: what it can do for health care research and how to do it. J Health Econ 2007; 26: 171-189. (Pubitemid 44908719)
30. Najafzadeh M, Lynd LD, Davis JC et al: Barriers to integrating personalized medicine into clinical practice: a best-worst scaling choice experiment. Genet Med 2012; 14: 520-526.
31. Rottenkolber R: Discrete-Choice-Experimente zur Messung der Zahlungsbereitschaft fü r Gesundheitsleistungen-ein anwendungsbezogener Literaturreview. Gesundh Ökon Qual Manag 2011; 16: 232-244.
32. Richardson J, McKie J: Empiricism, ethics and orthodox economic theory: what is the appropriate basis for decision-making in the health sector? Soc Sci Med 2005; 60: 265-275. (Pubitemid 39452543)
33. Daniels N, Sabin J: The ethics of accountability in managed care reform. Health Aff (Millwood) 1998; 17: 50-64. (Pubitemid 128465523)