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患者对神经内分泌肿瘤替代治疗的偏好:“PIANO 研究”的结果。

Patient Preferences Concerning Alternative Treatments for Neuroendocrine Tumors: Results of the "PIANO-Study".

机构信息

Health Economics and Health Care Management,Hochschule Neubrandenburg,Germany.

出版信息

Int J Technol Assess Health Care. 2019 Jan;35(3):243-251. doi: 10.1017/S0266462319000217. Epub 2019 May 2.

Abstract

OBJECTIVES

Neuroendocrine tumors (NETs) are rare, slow-growing malignant tumors. So far, there are no data on patient preferences regarding its therapy. This empirical study aimed to elicit patient preferences in the drug treatment of NET.

METHODS

Based on qualitative patient interviews and an analytic hierarchy process, six patient-relevant attributes were analyzed and weighted using a discrete-choice experiment. Patients were recruited with the help of a NET support group. An experimental 33 + 63 -MNL design was created using NGene. The design consisted of eighty-four choices, divided into seven blocks. Participants were randomly assigned to these blocks. The analysis included random parameter logit and latent class models.

RESULTS

A total of 275 participants (51.6 percent female; mean age, 58.4 years) were included. The preference analysis within the random parameter logit model, taking into account the 95 percent confidence interval, showed predominance for the attribute "overall survival." The attributes "response to treatment" and "stabilization of tumor growth" followed. The side effects "nausea/vomiting" and "diarrhea" were considered of relatively equal importance. Latent class analysis of possible subgroup differences revealed three preference patterns.

CONCLUSIONS

Preferences can influence therapeutic decisions. Preference analyses indicated that "overall survival" had the strongest influence, with participants clearly weighing outcome attributes higher than side effect attributes. In conclusion, mono-criterial decisions would not fully reflect patient perspectives.

摘要

目的

神经内分泌肿瘤(NET)是一种罕见的、生长缓慢的恶性肿瘤。到目前为止,尚无关于患者对其治疗偏好的数据。本实证研究旨在探讨 NET 药物治疗中患者的偏好。

方法

基于定性的患者访谈和层次分析法,使用离散选择实验分析和加权了六个与患者相关的属性。NET 支持小组的帮助下招募了患者。使用 NGene 创建了一个实验性的 33 + 63-MNL 设计。该设计由 84 个选择组成,分为 7 个块。参与者被随机分配到这些块中。分析包括随机参数对数和潜在类别模型。

结果

共纳入 275 名参与者(51.6%为女性;平均年龄为 58.4 岁)。随机参数对数模型中的偏好分析考虑了 95%置信区间,结果表明,“总体生存”是优势属性。其次是“治疗反应”和“肿瘤生长稳定”。“恶心/呕吐”和“腹泻”等副作用被认为具有同等重要性。对可能存在的亚组差异的潜在类别分析显示了三种偏好模式。

结论

偏好可以影响治疗决策。偏好分析表明,“总体生存”的影响最大,参与者明显更看重结果属性,而不是副作用属性。总之,单一标准的决策不能完全反映患者的观点。

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