Beaudart, Charlotte ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Branco, J.
Bruyère, Olivier ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Conaghan, P.G.
Cooper, C.
Herrero-Beaumont, G.
Jiwa, F.
Lems, W.
Rizzoli, R.
Thomas, T.
Veronese, N.
Reginster, Jean-Yves ; Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique, Epidémiologie et Economie de la santé
Clark MD, Determann D, Petrou S et al (2014) Discrete choice experiments in health economics: a review of the literature. Pharmacoeconomics 32:883–902
Fraenkel L, Suter L, Cunningham CE et al (2014) Understanding preferences for disease-modifying drugs in osteoarthritis. Arthritis Care Res (Hoboken) 66:1186–1192
Berchi C, Degieux P, Halhol H et al (2016) Impact of falling reimbursement rates on physician preferences regarding drug therapy for osteoarthritis using a discrete choice experiment. Int J Pharm Pract 24:114–122
Byun JH, Kwon SH, Lee JE et al (2016) Comparison of benefit-risk preferences of patients and physicians regarding cyclooxygenase-2 inhibitors using discrete choice experiments. Patient Prefer Adher 10:641–650
Arden NK, Hauber AB, Mohamed AF et al (2012) How do physicians weigh benefits and risks associated with treatments in patients with osteoarthritis in the United Kingdom? J Rheumatol 39:1056–1063
Laba T-L, Brien J-A, Fransen M et al (2013) Patient preferences for adherence to treatment for osteoarthritis: the MEdication Decisions in Osteoarthritis Study (MEDOS). BMC Musculoskelet Disord 14:160
Ratcliffe J, Buxton M, McGarry T et al (2004) Patients’ preferences for characteristics associated with treatments for osteoarthritis. Rheumatology 43:337–345
Coxon D, Frisher M, Jinks C et al (2015) The relative importance of perceived doctor’s attitude on the decision to consult for symptomatic osteoarthritis: a choice-based conjoint analysis study. BMJ Open 5:e009625
Pinto D, Bockenholt U, Lee J et al (2018) Preferences for physical activity: a conjoint analysis involving people with chronic knee pain. Osteoarthr Cartil. 10.1016/j.joca.2018.10.002
Moorman CT, Kirwan T, Share J et al (2017) Patient preferences regarding surgical interventions for knee osteoarthritis. Clin Med Insights Arthritis Musculoskelet Disord. 10.1177/1179544117732039
O’Hara NN, Slobogean GP, Mohammadi T et al (2016) Are patients willing to pay for total shoulder arthroplasty? Evidence from a discrete choice experiment. Can J Surg 59:107–112
Rochon D, Eberth JM, Fraenkel L et al (2014) Elderly patients’ experiences using adaptive conjoint analysis software as a decision aid for osteoarthritis of the knee. Health Expect 17:840–851
Al-Omari B, Sim J, Croft P et al (2017) Generating individual patient preferences for the treatment of osteoarthritis using Adaptive Choice-Based Conjoint (ACBC) Analysis. Rheumatol Ther 4:167–182
Dowsey MM, Scott A, Nelson EA et al (2016) Using discrete choice experiments as a decision aid in total knee arthroplasty: study protocol for a randomised controlled trial. Trials 17:416
Sanchez K, Palazzo C, Escalas C et al (2016) Patient-preference disability assessment for disabling knee osteoarthritis: validity and responsiveness of the McMaster-Toronto Arthritis Patient Preference Disability Questionnaire. Ann Phys Rehabil Med 59:255–262
Johnson FR, Hauber AB, Osoba D et al (2006) Are chemotherapy patients’ HRQoL importance weights consistent with linear scoring rules? A stated-choice approach. Qual Life Res 15:285–298
Bridges JF, Hauber AB, Marshall D et al (2011) Conjoint analysis applications in health—a checklist: a report of the ISPOR Good Research Practices for Conjoint Analysis Task Force. Value Health 14:403–413
Brennan PF, Strombom I (1998) Improving health care by understanding patient preferences: the role of computer technology. J Am Med Inform Assoc 5:257–262