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Table 1 BWS applications in healthcare 2006-2015

From: Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview

Author Title Year BWS variant Application area Sampleize
Beusterien K, Kennelly MJ, Bridges JF, Amos K, Williams MJ, Vasavada S [50] Use of best-worst scaling to assess patient perceptions of treatments for refractory overactive bladder. 2015 Object case Evaluation of treatment options N = 245
Flynn TN, Huynh E, Peters TJ, Al-Janabi H, Clemens S, Moody A, Coast J [51] Scoring the ICECAP- A capability instrument. Estimation of a UK general population tariff 2015 Profile case Evaluation of health state measurements N = 413
Franco MR, Howard K, Sherrington C, Ferreira PH, Rose J, Gomes JL, Ferreira ML [52] Eliciting older people’s preferences for exercise programs: a best-worst scaling choice experiment. 2015 Profile case Evaluation of non-pharmaceutical treatments N = 220
Gallego G, Dew A, Lincoln M, Bundy A, Chedid RJ, Bulkeley K, Brentnall J, Veitch C [53] Should I stay or should I go? Exploring the job preferences of allied health professionals working with people with disability in rural Australia. 2015 Multiprofile case Evaluation of workforce preferences in healthcare N = 199 Response rate 51 %
Hashim H, Beusterien K, Bridges JFP, Amos K, Cardozo L [54] Patient preferences for treating refractory overactive bladder in the UK 2015 Object case Evaluation of treatment options N = 139
Hollin IL, Peay HL, Bridges JF [55] Caregiver preferences for emerging duchenne muscular dystrophy treatments: a comparison of best-worst scaling and conjoint analysis. 2015 Profile case Evaluation of treatment options N/A
Meyfroidt S, Hulscher M, De Cock D, Van der Elst K, Joly J, Westhovens R, Verschueren P [56] A maximum difference scaling survey of barriers to intensive combination treatment strategies with glucocorticoids in early rheumatoid arthritis. 2015 Object case Evaluation of treatment options N = 66
Morrison W, Womer J, Nathanson P, Kersun L, Hester DM, Walsh C, Feudtner C [57] Pediatricians’ Experience with Clinical Ethics Consultation: A National Survey 2015 Multiprofile case Evaluation of working experiences N = 659
Mühlbacher AC, Bethge, Kaczynski A, Juhnke C [58] Objective Criteria in the Medicinal Therapy for Type II Diabetes: An Analysis of the Patients’ Perspective with Analytic Hierarchy Process and Best-Worst Scaling 2015 Profile case Evaluation of treatment preferences N = 388
Narurkar V, Shamban A, Sissins P, Stonehouse A, Gallagher C [59] Facial treatment preferences in aesthetically aware women 2015 Object case Evaluation of aesthetic surgeries N = 603
O’Hara NN, Roy L, O’Hara LM, Spiegel JM, Lynd LD, FitzGerald JM, Yassi A, Nophale LE, Marra CA [60] Healthcare worker preferences for active tuberculosis case finding programs in South Africa: a best-worst scaling choice experiment. 2015 Profile case Evaluation of screening interventions N = 125 Response rate 82 %
Peay HL, Hollin IL, Bridges JFP [61] Prioritizing Parental Worry Associated with Duchenne Muscular Dystrophy Using Best-Worst Scaling 2015 Object case Evaluation of disease effects N = 119
Ratcliffe J, Huynh E, Stevens K, Brazier J, Sawyer M, Flynn T [62] Nothing about us without us? A comparison of adolescent and adult health-state values for the child health utility-9D using profile case Best-Worst Scaling 2015 Profile case Evaluation of health state values N/A
Ross M, Bridges JF, Ng X, Wagner LD, Frosch E, Reeves G, dosReis S [63] A best-worst scaling experiment to prioritize caregiver concerns about ADHD medication for children. 2015 Object case Evaluation of a treatment option N = 46
Wittenberg E, Bharel M, Saada A, Santiago E, Bridges JF, Weinreb L [64] Measuring the Preferences of Homeless Women for Cervical Cancer Screening Interventions: Development of a Best-Worst Scaling Survey. 2015 Object case Evaluation of Screening Interventions N/A
Yan K, Bridges JF, Augustin S, Laine L, Garcia-Tsao G, Fraenkel L [65] Factors impacting physicians’ decisions to prevent variceal hemorrhage. 2015 Object case Evaluation of treatment preferences N = 110
Damery S, Biswas M, Billingham L, Barton P, Al-Janabi H, Grimer R [66] Patient preferences for clinical follow-up after primary treatment for soft tissue sarcoma: a cross-sectional survey and discrete choice experiment. 2014 Multiprofile case Evaluation of follow-up interventions N = 132 Response rate 47 %
dosReis S, Ng X, Frosch E, Reeves G, Cunningham C, Bridges JF [67] Using Best-Worst Scaling to Measure Caregiver Preferences for Managing their Child’s ADHD: A Pilot Study. 2014 Profile case Evaluation of a treatment option N = 21 (development) N = 37 (pilot)
Ejaz A, Spolverato G, Bridges JF, Amini N, Kim Y, Pawlik TM [68] Choosing a cancer surgeon: analyzing factors in patient decision making using a best-worst scaling methodology. 2014 Object case Evaluation of treatment options N = 214 Response rate 82 %
Hauber AB, Mohamed AF, Johnson FR, Cook M, Arrighi HM, Zhang J, Grundman M [69] Understanding the relative importance of preserving functional abilities in Alzheimer’s disease in the United States and Germany. 2014 Object case Evaluation of preventing treatments N = 403 US N = 400 German
Hofstede SN, van Bodegom-Vos L, Wentink MM, Vleggeert-Lankamp CL, Vliet Vlieland TP, Marang-van de Mheen PJ; DISC study group [70] Most important factors for the implementation of shared decision making in sciatica care: ranking among professionals and patients. 2014 Object case Evaluation of patient-oriented methods N = 246 professionals N = 155 patients
Peay HL, Hollin I, Fischer R, Bridges JF [71] A community-engaged approach to quantifying caregiver preferences for the benefits and risks of emerging therapies for Duchenne muscular dystrophy. 2014 Profile case Evaluation of treatment options N = 119
Roy L MC, Bansback N, Marra C, Carr R, Chilvers M, Lynd LD [72] Evaluating preferences for long term wheeze following RSV infection using TTO and best-worst scaling 2014 Profile case Evaluation of disease effects N = 1000 (recruited)
Torbica A, De Allegri M, Belemsaga D, Medina-Lara A, Ridde V [73] What criteria guide national entrepreneurs’ policy decisions on user fee removal for maternal health care services? Use of a best–worst scaling choice experiment in West Africa 2014 Object case identify criteria guiding political decisions N = 89
Ungar WJ, Hadioonzadeh A, Najafzadeh M, Tsao NW, Dell S, Lynd LD [74] Quantifying preferences for asthma control in parents and adolescents using best-worst scaling 2014 Object case Evaluation of a treatment option N = 50 parents N = 51 asthma-affected adolescents
van Til J, Groothuis-Oudshoorn C, Lieferink M, Dolan J, Goetghebeur M [75] Does technique matter; a pilot study exploring weighting techniques for a multi-criteria decision support framework 2014 Object case Evaluation of societal preferences for reimbursement decisions of a health innovation N = 60
Whitty JA, Ratcliffe J, Chen G, Scuffham PA [76] Australian public preferences for the funding of new health technologies: a comparison of discrete choice and profile case best-worst scaling methods 2014 Profile case Evaluation of public preferences for funding decisions N = 930
Whitty JA, Walker R, Golenko X, Ratcliffe J [77] A think aloud study comparing the validity and acceptability of discrete choice and best worst scaling methods 2014 Profile case Evaluation of preferences for healthcare in a priority-setting context N = 24
Xie F, Pullenayegum E, Gaebel K, Oppe M, Krabbe PF [78] Eliciting preferences to the EQ-5D-5 L health states: discrete choice experiment or multiprofile case of best–worst scaling? 2014 Multiprofile case Evaluation of health state measurements N = 100
Xu F, Chen G, Stevens K, Zhou H, Qi S, Wang Z4, Hong X, Chen X, Yang H, Wang C, Ratcliffe J [79] Measuring and valuing health-related quality of life among children and adolescents in mainland China--a pilot study 2014 Profile case Evaluation of health-related quality of life N = 815
Yuan Z, Levitan B, Burton P, Poulos C, Brett Hauber A, Berlin JA [80] Relative importance of benefits and risks associated with antithrombotic therapies for acute coronary syndrome: patient and physician perspectives. 2014 Object case Evaluation of a treatment option N = 206 patients N = 273 physicians
Severin F, Schmidtke J, Mühlbacher A, Rogowski WH [46] Eliciting preferences for priority setting in genetic testing: a pilot study comparing best-worst scaling and discrete-choice experiments 2013 Profile case Evaluation of diagnosis intervention N = 26
Yoo HI, Doiron D [81] The use of alternative preference elicitation methods in complex discrete choice experiments 2013 Profile case and multiprofile case Evaluation of workforce preferences in healthcare N/A
Gallego G, Bridges JF, Flynn T, Blauvelt BM, Niessen LW [82] Using best-worst scaling in horizon scanning for hepatocellular carcinoma technologies 2012 Object case Evaluation of diagnosis intervention N = 120 Response rate 37 %
Knox SA, Viney RC, Street DJ, Haas MR, Fiebig DG, Weisberg E, Bateson D [83] What’s good and bad about contraceptive products? A best-worst attribute experiment comparing the values of women consumers and GPs 2012 Profile case Evaluation of contraceptive products N = 162
Marti J [18] A best–worst scaling survey of adolescents’ level of concern for health and non-health consequences of smoking 2012 Object case Evaluation of effects of smoking N = 376
Molassiotis A, Emsley R, Ashcroft D, Caress A, Ellis J, Wagland R, Bailey CD, Haines J, Williams ML, Lorigan P, Smith J, Tishelman C, Blackhall F [84] Applying Best-Worst scaling methodology to establish delivery preferences of a symptom supportive care intervention in patients with lung cancer 2012 Profile case Evaluation of treatment options N = 87
Netten A, Burge P, Malley J, Potoglou D, Towers AM, Brazier J, Flynn T, Forder J, Wall B [85] Outcomes of social care for adults: developing a preference-weighted measure. 2012 Profile case Evaluation of social care outcome N = 500 general population N = 458 people using equipment services
Ratcliffe J, Flynn T, Terlich F, Stevens K, Brazier J, Sawyer M [86] Developing adolescent-specific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D 2012 Profile case and multiprofile case Evaluation of health state values N = 590
van der Wulp I, van den Hout WB, de Vries M, Stiggelbout AM, van den Akker-van Marle EM [87] Societal preferences for standard health insurance coverage in the Netherlands: a cross-sectional study 2012 Multiprofile case Evaluation of coverage decisions N = 2000
Al-Janabi H, Flynn TN, Coast J [88] Estimation of a preference-based carer experience scale 2011 Profile case Evaluation of workforce preferences in healthcare N = 162
Kurkjian TJ, Kenkel JM, Sykes JM, Duffy SC [89] Impact of the current economy on facial aesthetic surgery 2011 Object case Evaluation of economy of aesthetical surgery N = 231 surgeons N/A for patients
Ratcliffe J, Couzner L, Flynn T, Sawyer M, Stevens K, Brazier J, Burgess L [43] Valuing Child Health Utility 9D health states with a young adolescent sample: a feasibility study to compare best-worst scaling discrete-choice experiment, standard gamble and time trade-off methods 2011 Profile case Evaluation of health state values N = 16
Rudd MA [90] An Exploratory Analysis of Societal Preferences for Research-Driven Quality of Life Improvements in Canada 2011 Object case Evaluation of quality of life N = 1920
Simon A [91] Patient involvement and information preferences on hospital quality: results of an empirical analysis 2011 Object case Evaluation of patient-oriented healthcare information N = 276 response rate 71 %
van Hulst LT, Kievit W, van Bommel R, van Riel PL, Fraenkel L [92] Rheumatoid arthritis patients and rheumatologists approach the decision to escalate care differently: results of a maximum difference scaling experiment 2011 Object case Evaluation of care N = 106 rheumato-logists N = 213 patients
Wang T, Wong B, Huang A, Khatri P, Ng C, Forgie M, Lanphear JH, O’Neill PJ [93] Factors affecting residency rank-listing: a Maxdiff survey of graduating Canadian medical students 2011 Object case Evaluation of workforce preferences in healthcare N = 339
Günther OH, Kürstein B, Riedel-Heller SG, König HH [44] The role of monetary and nonmonetary incentives on the choice of practice establishment: a stated preference study of young physicians in Germany 2010 Profile case Evaluation of workforce preferences in healthcare N = 5026
Imaeda A, Bender D, Fraenkel L [94] What Is Most Important to Patients when Deciding about Colorectal Screening? 2010 Object case Evaluation of screening interventions N = 92
Louviere JJ, Flynn TN [14] Using best-worst scaling choice experiments to measure public perceptions and preferences for healthcare reform in Australia 2010 Object case Evaluation of healthcare system reform principles N = 204 response rate 85 %
Flynn TN, Louviere JJ, Peters TJ, Coast J [31] Estimating preferences for a dermatology consultation using best-worst scaling: comparison of various methods of analysis. 2008 Profile case Evaluation of healthcare delivery N = 60
Flynn TN, Louviere JJ, Marley AAJ, Coast J, Peters TJ [95] Rescaling quality of life values from discrete choice experiments for use as QALYs: a cautionary tale 2008 Profile case Evaluation of quality of life N = 478
Swancutt DR, Greenfield, SM Wilson S [96] Women’s colposcopy experience and preferences: a mixed methods study 2008 Profile case Evaluation of diagnosis/screening interventions N/A (Aim to achieve N = 100)