Patient preferences for advanced therapies in ulcerative colitis using conjoint analysis

利用联合分析法分析溃疡性结肠炎患者对先进疗法的偏好

阅读:2

Abstract

BACKGROUND/AIMS: Selecting an optimal advanced therapy for ulcerative colitis (UC) is difficult because of the increasing number of available therapies. This study assessed UC patients' preferences for drug profiles in decision-making regarding advanced therapies using conjoint analysis. METHODS: A web-based survey was conducted from October to November 2023 in patients with UC aged ≥ 18 years with prior oral 5-aminosalicylic acid treatment (UMIN000052327). We quantified the importance of drug attributes (location of administration, route/frequency of administration, speed of onset-of-action, maintenancesustainability, risk of serious adverse events within 1 year, and novelty of the drug) and the part-worth utility of attribute levels in mild and severe symptom scenarios, including among employed versus unemployed patients. RESULTS: Of 372 patients who completed the survey, 365 were evaluated. Patient preferences were generally highly individualized. The route/frequency of administration was the most important attribute in both the mild and severe symptom scenarios. Oral administration was preferred in the mild symptom scenario, whereas no specific preference was observed in the severe symptom scenario. The route/ frequency of administration was more valued in the mild symptom scenario than in the severe one, whereas speed of onset of action was more valued in the severe symptom scenario. No significant difference was found in the preference for drug profiles between employed and unemployed patients. CONCLUSIONS: Patient preferences for the route/frequency of administration, as well as other drug profiles, change with disease severity but demonstrate substantial interindividual variability. Therefore, shared decision-making is important to incorporate patients' perspectives into the selection of advanced therapies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。