Investigating the effect of prescribing status and patient characteristics on the therapeutic outcomes in patients with diabetes using a leftover drug adjustment protocol

T. Hirai, Shunsuke Hanaoka, Yuusuke Terakado, T. Seki, Fumiyuki Watanabe
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Abstract

Treatment for diabetes includes anti-diabetic medication in addition to lifestyle improvements through diet and exercise. In Japan, protocol-based pharmacotherapy management allows drug treatment to be provided through cooperation between physicians and pharmacists, based on a protocol that is prepared and agreed upon in advance. However, there are no studies to clarify the relationship between patient characteristics and therapeutic effects after pharmacist intervention in protocol-based pharmacotherapy management for patients with diabetes. Therefore, this study aimed to use protocol-based reports from pharmacies to understand the status of outpatient diabetes medication compliance. We classified patients with diabetes on the basis of patient characteristics that can be collected in pharmacies and investigated the characteristics that impacted diabetes treatment. Patients were prescribed oral anti-diabetic drugs at outpatient clinics of Hitachinaka General Hospital, Hitachi, Ltd., from April 2016 to March 2021. Survey items included patient characteristics (sex, age, number of drugs used, observed number of years of anti-diabetic drug prescription, number of anti-diabetic drug prescription days, and presence or absence of leftover anti-diabetic drugs) and HbA1c levels. Graphical analyses indicated the relationship between each categorised patient characteristic using multiple correspondence analyses. Subsequently, the patients were clustered using K-means cluster analysis based on the coordinates obtained for each patient. Patient characteristics and HbA1c values were compared between the groups for each cluster. A total of 1,910 patients were included and classified into three clusters, with clusters 1, 2, and 3 containing 625, 703, and 582 patients, respectively. Patient characteristics strongly associated with Cluster 1 were ages between 65 and 74 years, use of three or more anti-diabetic drugs, use of 3 years or more of anti-diabetic drugs, and leftover anti-diabetic drugs. Furthermore, Cluster 1 had the highest number of patients with worsening HbA1c levels compared with other clusters. Using the leftover drug adjustment protocol, we clarified the patient characteristics that affected the treatment course. We anticipate that through targeted interventions in patients exhibiting these characteristics, we can identify those who are irresponsibly continuing with drug treatment, are not responding well to therapy, or both. This could substantially improve the efficacy of their anti-diabetic care.
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使用剩药调整方案调查处方情况和患者特征对糖尿病患者治疗效果的影响
糖尿病治疗除了通过饮食和运动改善生活方式外,还包括抗糖尿病药物治疗。在日本,基于方案的药物治疗管理允许医生和药剂师根据事先准备和商定的方案合作提供药物治疗。然而,目前还没有研究明确糖尿病患者在接受药剂师干预后,患者特征与治疗效果之间的关系。因此,本研究旨在利用药房提供的基于方案的报告来了解门诊糖尿病患者服药依从性的状况。我们根据药房可收集到的患者特征对糖尿病患者进行了分类,并调查了影响糖尿病治疗的特征。调查对象为 2016 年 4 月至 2021 年 3 月期间在株式会社日立制作所日立中综合医院门诊处方口服抗糖尿病药物的患者。调查项目包括患者特征(性别、年龄、用药次数、观察到的抗糖尿病药物处方年数、抗糖尿病药物处方天数、有无剩余抗糖尿病药物)和 HbA1c 水平。通过多重对应分析,图形分析显示了每个分类患者特征之间的关系。随后,根据每个患者获得的坐标,使用 K-means 聚类分析对患者进行聚类。对每个聚类的患者特征和 HbA1c 值进行组间比较。共纳入 1,910 名患者,并将其分为三个群组,其中群组 1、2 和 3 分别包含 625、703 和 582 名患者。与群组 1 密切相关的患者特征是年龄在 65 至 74 岁之间、使用三种或三种以上的抗糖尿病药物、使用 3 年或 3 年以上的抗糖尿病药物以及剩余的抗糖尿病药物。此外,与其他群组相比,群组 1 中 HbA1c 水平恶化的患者数量最多。通过使用剩余药物调整方案,我们明确了影响治疗过程的患者特征。我们预计,通过对表现出这些特征的患者进行有针对性的干预,我们可以找出那些不负责任地继续药物治疗、对治疗反应不佳或两者兼有的患者。这将大大提高他们的抗糖尿病治疗效果。
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