Fujihara Hisato, Kogo Mari, Saito Isao, Kawate Nobuyuki, Mizuma Masazumi, Suzuki Hiroko, Murayama Jun-Ichiro, Sasaki Tadanori
Department of Pharmacy, Showa University Fujigaoka Rehabilitation Hospital, 2-1-1 Fujigaoka, Aoba-ku, Yokohama, Kanagawa 227-8518 Japan ; Department of Hospital Pharmaceutics, School of Pharmacy, Showa University, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555 Japan.
Department of Hospital Pharmaceutics, School of Pharmacy, Showa University, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555 Japan ; Department of Pharmacy, Showa University Fujigaoka Hospital, 1-30 Fujigaoka, Aoba-ku, Yokohama, Kanagawa, 227-8501 Japan.
J Pharm Health Care Sci. 2017 Jan 10;3:2. doi: 10.1186/s40780-016-0070-7. eCollection 2017.
Medication self-management in stroke patients is important to prevent further progression of disease and incidence of side effects. The purpose of this study was to create a formula for predicting medication self-management introduction in stroke patients using functional independence measure items and patient data, including medication-related information.
This was a retrospective analysis of 104 patients (cerebral infarction, cerebral hemorrhage, subarachnoid hemorrhage) discharged from the Kaifukuki rehabilitation ward at Showa University Fujigaoka Rehabilitation Hospital from January to December 2012. Multivariate analysis was performed to develop a formula for predicting achievement of medication self-management.
Of the 104 patients, 39 (37.5%) achieved medication self-management. In the logistic regression analysis, number of drugs, age, walk/wheelchair mobility FIM, and memory FIM were extracted as significant factors independently contributing to achievement of medication self-management ( < 0.05). The prediction formula was [4.404 - 0.229 × number of drugs at admission + 0.470 × walk/wheelchair mobility FIM at admission + 0.416 × memory FIM at admission - 0.112 × age].
In the future, this formula may be used as an index to predict success of medication self-management in stroke patients.
脑卒中患者的药物自我管理对于预防疾病的进一步发展和副作用的发生至关重要。本研究的目的是利用功能独立性测量项目和患者数据（包括与药物相关的信息）创建一个预测脑卒中患者药物自我管理引入情况的公式。
这是一项对2012年1月至12月从昭和大学藤冈康复医院海风康复病房出院的104例患者（脑梗死、脑出血、蛛网膜下腔出血）进行的回顾性分析。进行多变量分析以制定预测药物自我管理达成情况的公式。
104例患者中，39例（37.5%）实现了药物自我管理。在逻辑回归分析中，药物数量、年龄、步行/轮椅移动功能独立性测量值和记忆功能独立性测量值被提取为独立促成药物自我管理达成的显著因素（<0.05）。预测公式为[4.404 - 0.229×入院时药物数量 + 0.470×入院时步行/轮椅移动功能独立性测量值 + 0.416×入院时记忆功能独立性测量值 - 0.112×年龄]。
未来，该公式可作为预测脑卒中患者药物自我管理成功与否的指标。
