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Cited by in F6Publishing
For: Gallego G, Bridges JF, Flynn T, Blauvelt BM, Niessen LW. Using best-worst scaling in horizon scanning for hepatocellular carcinoma technologies. Int J Technol Assess Health Care 2012;28:339-46. [PMID: 22980714 DOI: 10.1017/S026646231200027X] [Cited by in Crossref: 20] [Cited by in F6Publishing: 12] [Article Influence: 2.2] [Reference Citation Analysis]
Number Citing Articles
1 Salloum RG, Bishop JR, Elchynski AL, Smith DM, Rowe E, Blake KV, Limdi NA, Aquilante CL, Bates J, Beitelshees AL, Cipriani A, Duong BQ, Empey PE, Formea CM, Hicks JK, Mroz P, Oslin D, Pasternak AL, Petry N, Ramsey LB, Schlichte A, Swain SM, Ward KM, Wiisanen K, Skaar TC, Van Driest SL, Cavallari LH, Tuteja S. Best-worst scaling methodology to evaluate constructs of the Consolidated Framework for Implementation Research: application to the implementation of pharmacogenetic testing for antidepressant therapy. Implement Sci Commun 2022;3:52. [PMID: 35568931 DOI: 10.1186/s43058-022-00300-7] [Reference Citation Analysis]
2 Guerrini CJ, Crossnohere NL, Rasmussen L, Bridges JFP. A best-worst scaling experiment to prioritize concern about ethical issues in citizen science reveals heterogeneity on people-level v. data-level issues. Sci Rep 2021;11:19119. [PMID: 34580327 DOI: 10.1038/s41598-021-96743-4] [Reference Citation Analysis]
3 Mackie TI, Kovacs KM, Simmel C, Crystal S, Neese-Todd S, Akincigil A. A best-worst scaling experiment to identify patient-centered claims-based outcomes for evaluation of pediatric antipsychotic monitoring programs. Health Serv Res 2021;56:418-31. [PMID: 33369739 DOI: 10.1111/1475-6773.13610] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Yemeke TT, Kiracho EE, Mutebi A, Apolot RR, Ssebagereka A, Evans DR, Ozawa S. Health versus other sectors: Multisectoral resource allocation preferences in Mukono district, Uganda. PLoS One 2020;15:e0235250. [PMID: 32730256 DOI: 10.1371/journal.pone.0235250] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
5 Chiba T, Hiraoka A, Mikami S, Shinozaki M, Osaki Y, Obu M, Ohki T, Mita N, Ledesma D, Yoshihara N, Beusterien K, Amos K, Bridges JF, Yokosuka O. Japanese patient preferences regarding intermediate to advanced hepatocellular carcinoma treatments. Patient Prefer Adherence 2019;13:637-47. [PMID: 31118587 DOI: 10.2147/PPA.S198363] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Vaanholt MCW, Kok MM, von Birgelen C, Weernink MGM, van Til JA. Are component endpoints equal? A preference study into the practice of composite endpoints in clinical trials. Health Expect 2018;21:1046-55. [PMID: 30109764 DOI: 10.1111/hex.12798] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
7 Bridges JF, Oakes AH, Reinhart CA, Voyard E, O'Donoghue B. Developing and piloting an instrument to prioritize the worries of patients with acute myeloid leukemia. Patient Prefer Adherence 2018;12:647-55. [PMID: 29731612 DOI: 10.2147/PPA.S151752] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 2.3] [Reference Citation Analysis]
8 Wittenberg E, Bharel M, Bridges JF, Ward Z, Weinreb L. Using Best-Worst Scaling to Understand Patient Priorities: A Case Example of Papanicolaou Tests for Homeless Women. Ann Fam Med 2016;14:359-64. [PMID: 27401425 DOI: 10.1370/afm.1937] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 2.4] [Reference Citation Analysis]
9 Cheung KL, Wijnen BF, Hollin IL, Janssen EM, Bridges JF, Evers SM, Hiligsmann M. Using Best-Worst Scaling to Investigate Preferences in Health Care. Pharmacoeconomics 2016;34:1195-209. [PMID: 27402349 DOI: 10.1007/s40273-016-0429-5] [Cited by in Crossref: 97] [Cited by in F6Publishing: 81] [Article Influence: 19.4] [Reference Citation Analysis]
10 Hollin IL, Peay HL, Bridges JF. Caregiver preferences for emerging duchenne muscular dystrophy treatments: a comparison of best-worst scaling and conjoint analysis. Patient 2015;8:19-27. [PMID: 25523316 DOI: 10.1007/s40271-014-0104-x] [Cited by in Crossref: 37] [Cited by in F6Publishing: 36] [Article Influence: 6.2] [Reference Citation Analysis]
11 Mühlbacher AC, Kaczynski A, Zweifel P, Johnson FR. Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview. Health Econ Rev 2016;6:2. [PMID: 26743636 DOI: 10.1186/s13561-015-0079-x] [Cited by in Crossref: 48] [Cited by in F6Publishing: 46] [Article Influence: 8.0] [Reference Citation Analysis]
12 Malhotra C, Chan N, Zhou J, Dalager HB, Finkelstein E. Variation in physician recommendations, knowledge and perceived roles regarding provision of end-of-life care. BMC Palliat Care 2015;14:52. [PMID: 26503417 DOI: 10.1186/s12904-015-0050-y] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.4] [Reference Citation Analysis]
13 Yan K, Bridges JF, Augustin S, Laine L, Garcia-Tsao G, Fraenkel L. Factors impacting physicians' decisions to prevent variceal hemorrhage. BMC Gastroenterol 2015;15:55. [PMID: 25934271 DOI: 10.1186/s12876-015-0287-1] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 1.1] [Reference Citation Analysis]
14 Varela-Lema L, De La Fuente-Cid R, López-García M. Developing a prioritized list of innovative technologies: the Spanish experience. Int J Technol Assess Health Care 2014;30:626-33. [PMID: 25816830 DOI: 10.1017/S0266462314000774] [Cited by in Crossref: 2] [Article Influence: 0.3] [Reference Citation Analysis]
15 Ross M, Bridges JF, Ng X, Wagner LD, Frosch E, Reeves G, dosReis S. A best-worst scaling experiment to prioritize caregiver concerns about ADHD medication for children. Psychiatr Serv 2015;66:208-11. [PMID: 25642618 DOI: 10.1176/appi.ps.201300525] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 1.8] [Reference Citation Analysis]