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口服抗肿瘤药物不依从性估算器(ORACLE)的开发:一种用于口服抗肿瘤药物的治疗前不依从风险评估。

Development of oral oncolytic nonadherence estimator (ORACLE): A pretreatment nonadherence risk assessment for oral oncolytics.

机构信息

Pharmacy, Massachusetts General Hospital, Boston, MA, USA.

Specialty Pharmacy Services, Atrium Health, Charlotte, NC, USA.

出版信息

J Oncol Pharm Pract. 2024 Dec;30(8):1307-1316. doi: 10.1177/10781552231208442. Epub 2023 Oct 30.

Abstract

INTRODUCTION

To date, there is no adherence estimator to identify risk of nonadherence prior to initiating oral oncolytics.

METHODS

A workgroup was assembled through the National Community Oncology Dispensing Association and tasked with creating a tool to meet this need. Tool constructs were defined after a review of the literature identifying top barriers to adherence. A second literature search was conducted to identify questions targeting specific barriers from validated adherence questionnaires. Once a finalized draft was complete, the risk assessment tool was built into an electronic survey where a risk category can be automatically calculated for the patient.

RESULTS

The six most impactful factors affecting compliance to oral oncolytics were identified as patient's confidence, health literacy, perception of treatment, quality of life, social support, and complexity of chemotherapy regimen. A six-item questionnaire was created with five patient-directed questions and one clinician-directed question. Examples and descriptions were provided for clinicians to consider when categorizing complexity of a regimen. The tool was designed for responses to each question to be indexed into categories through a 10-point system. Results will be stratified into low, moderate, or high risk for nonadherence.

CONCLUSION

The creation of a tool to predict nonadherence prior to starting therapy is an unmet need for patients initiating oral oncolytics. The aim of this tool is to meet those needs and better guide clinicians to provide patients with strategies to better manage nonadherence. Next steps include tool validation and piloting in clinical practice.

摘要

简介

迄今为止,尚无一种依从性估算器可用于在开始口服肿瘤药物治疗之前识别不依从的风险。

方法

通过国家社区肿瘤药物调配协会组建了一个工作组,并负责开发一种满足这一需求的工具。在对文献进行审查以确定影响依从性的主要障碍后,确定了工具结构。进行了第二次文献检索,以从经过验证的依从性问卷中确定针对特定障碍的问题。一旦完成最终草案,就将风险评估工具构建到电子调查中,患者的风险类别可以自动计算。

结果

确定了影响口服肿瘤药物依从性的六个最具影响力的因素,包括患者的信心、健康素养、对治疗的看法、生活质量、社会支持和化疗方案的复杂性。创建了一个包含五个患者定向问题和一个临床医生定向问题的六要素问卷。为临床医生提供了示例和描述,以在对方案的复杂性进行分类时进行考虑。该工具旨在通过 10 点系统将每个问题的回答索引到类别中。结果将分层为低、中或高不依从风险。

结论

在开始治疗之前创建一种预测不依从性的工具是患者开始口服肿瘤药物治疗的未满足需求。该工具的目的是满足这些需求,并更好地指导临床医生为患者提供更好地管理不依从性的策略。下一步包括工具验证和临床实践试点。

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