The Application of Preference Elicitation Methods in Clinical Trial Design to Quantify Trade-Offs: A Scoping Review

被引:3
|
作者
Thomas, Megan [1 ]
Marshall, Deborah A. [1 ,2 ]
Choudhary, Daksh [2 ]
Bartlett, Susan J. [3 ,4 ]
Sanchez, Adalberto Loyola [5 ]
Hazlewood, Glen S. [1 ,2 ]
机构
[1] Univ Calgary, Dept Community Hlth Sci, 3330 Hosp Dr NW, Calgary, AB T2N 4N1, Canada
[2] Univ Calgary, Dept Med, Calgary, AB, Canada
[3] McGill Univ, Dept Med, Montreal, PQ, Canada
[4] McGill Univ, Ctr Outcomes Res & Evaluat, Res Inst, Hlth Ctr, Montreal, PQ, Canada
[5] Univ Alberta, Fac Med & Dent, Dept Med, Edmonton, AB, Canada
来源
基金
加拿大健康研究院;
关键词
INCORPORATING PATIENT PREFERENCES; COMPOSITE END-POINTS; CENTERED APPROACH; WILLINGNESS; ENGAGEMENT; INSIGHTS; OUTCOMES; PAIN;
D O I
10.1007/s40271-021-00560-w
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background and Objective Patients can express preferences for different treatment options in a healthcare context, and these can be measured with quantitative preference elicitation methods. Objective Our objective was to conduct a scoping review to determine how preference elicitation methods have been used in the design of clinical trials. Methods We conducted a scoping review to identify primary research studies, involving any health condition, that used quantitative preference elicitation methods, including direct utility-based approaches, and stated preference studies, to value health trade-offs in the context of clinical trial design. Studies were identified by screening existing systematic and scoping reviews and with a primary literature search in MEDLINE from 2010 to the present. We extracted study characteristics and the application of preference elicitation methods to clinical trial design according to the SPIRIT checklist from primary studies and summarized the findings descriptively. Results We identified 18 eligible studies. The included studies applied patient preferences to five areas of clinical trial design: intervention selection (n = 1), designing N-of-1 trials (n = 1), outcome selection and weighting composite and ordinal outcomes (n = 12), sample size calculations (n = 2), and recruitment (n = 2). Using preference elicitation methods led to different decisions being made, such as using preference-weighted composite outcomes instead of equally weighted composite outcomes. Conclusion Preference elicitation methods are infrequently used to design clinical trials but may lead to changes throughout the trial that could affect the evidence generated. Future work should consider measurement challenges and explore stakeholder perceptions.
引用
收藏
页码:423 / 434
页数:12
相关论文
共 27 条
  • [1] The Application of Preference Elicitation Methods in Clinical Trial Design to Quantify Trade-Offs: A Scoping Review
    Megan Thomas
    Deborah A. Marshall
    Daksh Choudhary
    Susan J. Bartlett
    Adalberto Loyola Sanchez
    Glen S. Hazlewood
    The Patient - Patient-Centered Outcomes Research, 2022, 15 : 423 - 434
  • [2] Towards preference elicitation for trade-offs between non-functional properties
    Franke, Ulrik
    2016 IEEE 20TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE (EDOC), 2016, : 89 - 98
  • [3] Eliciting Trade-Offs Between Equity and Efficiency: A Methodological Scoping Review
    Cadham, Christopher J.
    Prosser, Lisa A.
    VALUE IN HEALTH, 2023, 26 (06) : 943 - 952
  • [4] Block Simplex Signal Recovery: Methods, Trade-Offs, and an Application to Routing
    Wu, Cathy
    Pozdnukhov, Alexei
    Bayen, Alexandre M.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (04) : 1547 - 1559
  • [5] Fishers' Preference Heterogeneity and Trade-offs Between Design Options for More Effective Monitoring of Fisheries
    Chi Nguyen Thi Quynh
    Schilizzi, Steven
    Hailu, Atakelty
    Iftekhar, Sayed
    ECOLOGICAL ECONOMICS, 2018, 151 : 22 - 33
  • [6] Design Choices and Trade-Offs in Health Care Blockchain Implementations: Systematic Review
    O'Donoghue, Odhran
    Vazirani, Anuraag A.
    Brindley, David
    Meinert, Edward
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (05)
  • [7] Exploring perceptions of using preference elicitation methods to inform clinical trial design in rheumatology: A qualitative study and OMERACT collaboration
    Thomas, Megan
    Marshall, Deborah A.
    Sanchez, Adalberto Loyola
    Bartlett, Susan J.
    Boonen, Annelies
    Fraenkel, Liana
    Proulx, Laurie
    Voshaar, Marieke
    Bansback, Nick
    Buchbinder, Rachelle
    Guillemin, Francis
    Hiligsmann, Mickael
    Richards, Dawn P.
    Richards, Pamela
    Shea, Beverley
    Tugwell, Peter
    Falahee, Marie
    Hazlewood, Glen S.
    SEMINARS IN ARTHRITIS AND RHEUMATISM, 2023, 58
  • [8] Gemini multiconjugate adaptive optics system review - I. Design, trade-offs and integration
    Rigaut, Francois
    Neichel, Benoit
    Boccas, Maxime
    d'Orgeville, Celine
    Vidal, Fabrice
    van Dam, Marcos A.
    Arriagada, Gustavo
    Fesquet, Vincent
    Galvez, Ramon L.
    Gausachs, Gaston
    Cavedoni, Chad
    Ebbers, Angelic W.
    Karewicz, Stan
    James, Eric
    Luehrs, Javier
    Montes, Vanessa
    Perez, Gabriel
    Rambold, William N.
    Rojas, Roberto
    Walker, Shane
    Bec, Matthieu
    Trancho, Gelys
    Sheehan, Michael
    Irarrazaval, Benjamin
    Boyer, Corinne
    Ellerbroek, Brent L.
    Flicker, Ralf
    Gratadour, Damien
    Garcia-Rissmann, Aurea
    Daruich, Felipe
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2014, 437 (03) : 2361 - 2375
  • [9] Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions
    Scurati, Giulia Wally
    Ferrise, Francesco
    Bertoni, Marco
    COMPUTERS IN INDUSTRY, 2025, 164
  • [10] Improved antibody library design and selection methods for minimizing trade-offs between affinity, specificity and stability
    Tiller, Kathryn
    Julian, Mark
    Rabia, Lilia
    Li, Lijuan
    Garde, Shekhar
    Kumar, Sandeep
    Tessier, Peter
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253