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卡培他滨治疗的胃肠道癌症患者药物依从性和毒性管理的手机聊天机器人初步研究。

Pilot Study of a Mobile Phone Chatbot for Medication Adherence and Toxicity Management Among Patients With GI Cancers on Capecitabine.

机构信息

Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA.

Hospital of the University of Pennsylvania, Penn Medicine, Philadelphia, PA.

出版信息

JCO Oncol Pract. 2024 Apr;20(4):483-490. doi: 10.1200/OP.23.00365. Epub 2024 Jan 18.

Abstract

PURPOSE

Capecitabine is an oral chemotherapy used to treat many gastrointestinal cancers. Its complex dosing and narrow therapeutic index make medication adherence and toxicity management crucial for quality care.

METHODS

We conducted a pilot study of PENNY-GI, a mobile phone text messaging-based chatbot that leverages algorithmic surveys and natural language processing to promote medication adherence and toxicity management among patients with gastrointestinal cancers on capecitabine. Eligibility initially included all capecitabine-containing regimens but was subsequently restricted to capecitabine monotherapy because of challenges in integrating PENNY-GI with radiation and intravenous chemotherapy schedules. We used design thinking principles and real-time data on safety, accuracy, and usefulness to make iterative refinements to PENNY-GI with the goal of minimizing the proportion of text messaging exchanges with incorrect medication or symptom management recommendations. All patients were invited to participate in structured exit interviews to provide feedback on PENNY-GI.

RESULTS

We enrolled 40 patients (median age 64.5 years, 52.5% male, 62.5% White, 55.0% with colorectal cancer, 50.0% on capecitabine monotherapy). We identified 284 of 3,895 (7.3%) medication-related and 13 of 527 (2.5%) symptom-related text messaging exchanges with incorrect recommendations. In exit interviews with 24 patients, participants reported finding the medication reminders reliable and user-friendly, but the symptom management tool was too simplistic to be helpful.

CONCLUSION

Although PENNY-GI provided accurate recommendations in >90% of text messaging exchanges, we identified multiple limitations with respect to the intervention's generalizability, usefulness, and scalability. Lessons from this pilot study should inform future efforts to develop and implement digital health interventions in oncology.

摘要

目的

卡培他滨是一种用于治疗多种胃肠道癌症的口服化疗药物。其复杂的剂量和狭窄的治疗指数使得药物依从性和毒性管理对于高质量的护理至关重要。

方法

我们开展了 PENNY-GI 的试点研究,这是一种基于手机短信的聊天机器人,利用算法调查和自然语言处理来促进接受卡培他滨治疗的胃肠道癌症患者的药物依从性和毒性管理。最初的入选标准包括所有含卡培他滨的方案,但由于 PENNY-GI 与放疗和静脉化疗方案整合存在挑战,随后将入选标准限制为卡培他滨单药治疗。我们使用设计思维原则和关于安全性、准确性和有用性的实时数据,对 PENNY-GI 进行迭代改进,目标是最大限度地减少短信交流中药物或症状管理建议错误的比例。所有患者均受邀参加结构化的退出访谈,为 PENNY-GI 提供反馈。

结果

我们共纳入 40 例患者(中位年龄 64.5 岁,52.5%为男性,62.5%为白人,55.0%为结直肠癌患者,50.0%接受卡培他滨单药治疗)。我们发现 3895 次药物相关和 527 次症状相关短信交流中有 284 次(7.3%)和 13 次(2.5%)存在错误的建议。在对 24 例患者的退出访谈中,参与者报告称药物提醒可靠且易于使用,但症状管理工具过于简单,没有帮助。

结论

尽管 PENNY-GI 在>90%的短信交流中提供了准确的建议,但我们发现该干预措施的推广性、有用性和可扩展性存在多种局限性。本试点研究的经验教训应指导未来在肿瘤学中开发和实施数字健康干预措施的努力。

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