Table 1 BWS applications in healthcare 2006-2015
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) |