Literature DB >> 26370222

Use of best-worst scaling to assess patient perceptions of treatments for refractory overactive bladder.

Kathleen Beusterien1, Michael J Kennelly2, John F P Bridges3, Kaitlan Amos4, Mary Jo Williams5, Sandip Vasavada6.   

Abstract

AIMS: Refractory overactive bladder (OAB) treatments, including sacral neuromodulation (SNM), onabotulinumtoxin A (OnabotA), and percutaneous tibial nerve stimulation (PTNS), differ considerably. Best-Worst Scaling (BWS) was used to assess patient preferences for these treatments.
METHODS: A cross-sectional Web survey, based on findings from qualitative interviews with 23 OAB patients and 7 clinical experts, was conducted with idiopathic OAB patients in the US and UK. The BWS exercise involved prioritizing subsets of 13 attributes across 13 choice tasks, where patients identified the attribute they considered as best and as worst in each task. Attribute BWS scores, ranging from -1.0 (worst) to 1.0 (best) were calculated based on the rates that each attribute was chosen. Attitudes toward the attributes also were assessed via like/dislike Likert scales, and questions regarding the percentage likelihood (0-100%) of trying each treatment, based on standardized treatment descriptions.
RESULTS: The sample included 245 patients (118 US, 127 UK); 79% female, mean age 50 ± 7.8 years. All 13 attribute BWS scores were significantly positive or negative. "Lasting improvement" (0.82), "minimal side effects" (0.67), and "sends signals between bladder and brain" (0.35)' were rated most favorably, and "complications with implant" (-0.65), and "be willing to self-catheterize" (-0.53) were rated worst. All but one of the attribute BWS scores were significantly correlated with the respective like/dislike scores and the percentage likelihood estimates for trying one of the three treatments.
CONCLUSION: BWS was successful in assessing the magnitude of patient preferences for key attributes associated with substantially different refractory OAB therapies. Neurourol. Urodynam. 35:1028-1033, 2016.
© 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  Best-Worst Scaling; patient preference; refractory OAB treatment

Mesh:

Substances:

Year:  2015        PMID: 26370222     DOI: 10.1002/nau.22876

Source DB:  PubMed          Journal:  Neurourol Urodyn        ISSN: 0733-2467            Impact factor:   2.696


  6 in total

Review 1.  Using Best-Worst Scaling to Investigate Preferences in Health Care.

Authors:  Kei Long Cheung; Ben F M Wijnen; Ilene L Hollin; Ellen M Janssen; John F Bridges; Silvia M A A Evers; Mickael Hiligsmann
Journal:  Pharmacoeconomics       Date:  2016-12       Impact factor: 4.981

2.  A best-worst scaling survey of medical students' perspective on implementing shared decision-making in China.

Authors:  Richard Huan Xu; Lingming Zhou; Eliza Lai-Yi Wong; Dong Wang; Guo Chun Xiang; Chao Xu
Journal:  BMC Med Educ       Date:  2020-12-02       Impact factor: 2.463

3.  Investigating Medical Student's Preferences for Internet-Based Healthcare Services: A Best-Worst Scaling Survey.

Authors:  Richard Huan Xu; Ling-Ming Zhou; Eliza Lai-Yi Wong; Dong Wang
Journal:  Front Public Health       Date:  2021-12-06

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

Authors:  Axel C Mühlbacher; Anika Kaczynski; Peter Zweifel; F Reed Johnson
Journal:  Health Econ Rev       Date:  2016-01-08

5.  Quantifying the treatment goals of people recently diagnosed with schizophrenia using best-worst scaling.

Authors:  John Fp Bridges; Kathleen Beusterien; Stephan Heres; Pedro Such; Joaquín Sánchez-Covisa; Anna-Greta Nylander; Elcie Chan; Anne de Jong-Laird
Journal:  Patient Prefer Adherence       Date:  2018-01-04       Impact factor: 2.711

Review 6.  Effectiveness of percutaneous tibial nerve stimulation in the treatment of overactive bladder syndrome.

Authors:  Liesbeth L de Wall; John Pfa Heesakkers
Journal:  Res Rep Urol       Date:  2017-08-14
  6 in total

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