Sugitani Yasuo, Ito Kyoko, Ono Shunsuke
Biometrics Department, Chugai Pharmaceutical Co., Ltd., Tokyo, Japan.
Laboratory of Pharmaceutical Regulation and Sciences, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Front Pharmacol. 2021 Jul 20;12:697711. doi: 10.3389/fphar.2021.697711. eCollection 2021.
Our study objective was to determine lung cancer chemotherapy attributes that are important to patients in Japan. A discrete choice experiment survey in an anonymous web-based questionnaire format with a reward was completed by 200 lung cancer patients in Japan from November 25, 2019, to November 27, 2019. The relative importance of patient preferences for each attribute was estimated using a conditional logit model. A hierarchical Bayesian logit model was also used to estimate the impact of each demographic characteristic on the relative importance of each attribute. Of the 200 respondents, 191 with consistent responses were included in the analysis. In their preference, overall survival was the most important, followed by diarrhea, nausea, rash, bone marrow suppression (BMS), progression-free survival, fatigue, interstitial lung disease, frequency of administration, and duration of administration. The preferences were influenced by demographic characteristics (e.g., gender and age) and disease background (e.g., cancer type and stage). Interestingly, the experience of cancer drug therapies and adverse events had a substantial impact on the hypothetical drug preferences. For the Japanese lung cancer patients, improved survival was the most important attribute that influenced their preference for chemotherapy, followed by adverse events, including diarrhea, nausea, rash, and BMS. The preferences varied depending on the patient's demographic and experience. As drug attributes can affect patient preferences, pharmaceutical companies should be aware of the patient preferences and develop drugs that respond to segmented market needs.
我们的研究目的是确定对日本患者而言重要的肺癌化疗属性。2019年11月25日至2019年11月27日,日本的200名肺癌患者通过基于网络的匿名问卷形式完成了一项带有奖励的离散选择实验调查。使用条件logit模型估计患者对每个属性的偏好的相对重要性。还使用分层贝叶斯logit模型来估计每个人口统计学特征对每个属性相对重要性的影响。在200名受访者中,191名回答一致的受访者被纳入分析。在他们的偏好中,总生存期是最重要的,其次是腹泻、恶心、皮疹、骨髓抑制(BMS)、无进展生存期、疲劳、间质性肺病、给药频率和给药持续时间。这些偏好受到人口统计学特征(如性别和年龄)和疾病背景(如癌症类型和分期)的影响。有趣的是,癌症药物治疗和不良事件的经历对假设的药物偏好有重大影响。对于日本肺癌患者来说,生存期的改善是影响他们化疗偏好的最重要属性,其次是不良事件,包括腹泻、恶心、皮疹和BMS。偏好因患者的人口统计学特征和经历而异。由于药物属性会影响患者偏好,制药公司应了解患者偏好,并开发能满足细分市场需求的药物。