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优化炎症性肠病生物制剂的选择:使用联合分析开发在线患者决策辅助工具。

Optimizing Selection of Biologics in Inflammatory Bowel Disease: Development of an Online Patient Decision Aid Using Conjoint Analysis.

机构信息

Division of Health Services Research, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Cedars-Sinai Center for Outcomes Research and Education (CS-CORE), Los Angeles, California, USA.

出版信息

Am J Gastroenterol. 2018 Jan;113(1):58-71. doi: 10.1038/ajg.2017.470. Epub 2017 Dec 5.

Abstract

OBJECTIVES

Recent drug approvals have increased the availability of biologic therapies for inflammatory bowel disease (IBD), making it difficult for patients with ulcerative colitis (UC) and Crohn's disease (CD) to navigate treatment options. Here we developed a conjoint analysis to examine patient decision-making surrounding biologic medicines for IBD. We used the results to create an online patient decision aid that generates a unique "preferences report" for each patient to assist with shared decision-making with their provider.

METHODS

We administered an adaptive choice-based conjoint survey to IBD patients that quantifies the relative importance of biologic attributes (e.g., efficacy, side effect profile, mode of administration, and mechanism of action) in decision making. The conjoint software determined individual patient preferences by calculating part-worth utilities for each attribute. We conducted regression analyses to determine if demographic and disease characteristics (e.g., type of IBD and severity) predicted how patients made decisions.

RESULTS

640 patients completed the survey (UC=304; CD=336). In regression analyses, demographics and IBD characteristics did not predict individual patient preferences; the main exception was IBD type. When compared to UC, CD patients were more likely to report side effect profile as most important (odds ratio (OR) 1.63, 95% confidence interval (CI) 1.16-2.30). Conversely, those with UC were more likely to value therapeutic efficacy (OR 1.41, 95% CI 1.01-2.00).

CONCLUSIONS

Biologic decision-making is highly personalized; demographic and disease characteristics poorly predict individual preferences, indicating that IBD patients are unique and difficult to statistically categorize. The online decision tool resulting from this study (www.ibdandme.org) may be used by patients to support shared decision-making and optimize personalized biologic selection with their provider.

摘要

目的

最近批准的药物增加了炎症性肠病(IBD)生物疗法的可及性,使得溃疡性结肠炎(UC)和克罗恩病(CD)患者难以选择治疗方案。在这里,我们开发了一种联合分析方法来研究 IBD 患者对生物药物的决策。我们使用这些结果创建了一个在线患者决策辅助工具,为每位患者生成一个独特的“偏好报告”,以帮助与他们的提供者进行共同决策。

方法

我们向 IBD 患者提供了一项适应性基于选择的联合调查,该调查量化了生物属性(例如疗效、副作用概况、给药方式和作用机制)在决策中的相对重要性。联合软件通过计算每个属性的部分价值效用来确定个体患者的偏好。我们进行了回归分析,以确定人口统计学和疾病特征(例如,IBD 类型和严重程度)是否预测了患者的决策方式。

结果

640 名患者完成了调查(UC=304;CD=336)。在回归分析中,人口统计学和 IBD 特征不能预测个体患者的偏好;主要例外是 IBD 类型。与 UC 相比,CD 患者更有可能将副作用概况报告为最重要的因素(优势比(OR)1.63,95%置信区间(CI)1.16-2.30)。相反,UC 患者更看重治疗效果(OR 1.41,95%CI 1.01-2.00)。

结论

生物决策高度个性化;人口统计学和疾病特征不能很好地预测个体偏好,这表明 IBD 患者是独特的,难以进行统计学分类。本研究产生的在线决策工具(www.ibdandme.org)可由患者用于支持共同决策,并优化与提供者个性化的生物选择。

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