2025 年第 4 期 第 20 卷

用药依从性的影响因素及智慧药师平台的干预作用分析［

Analysis of the influencing factors of medication compliance and the intervention effect of intelligent pharmacist platform

作者：孙艳亭1王思琪2李留成2陈波2王玉珍2胡倩倩2王晨2陈钦2阚连娣2

英文作者：Sun Yanting1 Wang Siqi2 Li Liucheng2 Chen Bo2 Wang Yuzhen2 Hu Qianqian2 Wang Chen2 Chen Qin2 Kan Liandi2

单位：1浙江大学医学院附属邵逸夫医院护理部，杭州310000；2浙江大学医学院附属邵逸夫医院药学部，杭州310000

英文单位：1Department of Nursing Sir Run Run Shaw Hospital School of Medicine Zhejiang University Hangzhou 310000 China; 2Department of Pharmacy Sir Run Run Shaw Hospital School of Medicine Zhejiang University Hangzhou 310000 China

关键词：用药依从性；Morisky-Green药物依从性量表；智慧药师平台

英文关键词：Medicationadherence;Morisky-Greenmedicationadherencescale;Intelligentpharmacistplatform

• 摘要：

• 目的 探究智慧药师平台对患者用药依从性的影响。方法 随机招募2023年6月3日至12月3日在浙江大学医学院附属邵逸夫医院门诊就诊的500例有基础疾病并服用药物的患者。按照是否使用智慧药师平台将患者分为非智慧药师平台组（250例）和智慧药师平台组（250例）。通过覆盖Morisky-Green量表内容的问卷和电话随访的方式评估患者的用药依从性，并对影响用药依从性的因素进行分析。结果 智慧药师平台组60～70岁的患者用药依从性最好，<60岁的患者用药依从性最差（均P<0.05）。智慧药师平台组本科及以上学历的患者用药依从性最好，初中学历的患者用药依从性最差；而在非智慧药师平台组大专学历的患者用药依从性最好，小学及以下学历的患者用药依从性最差（均P<0.05）。智慧药师平台组的独居患者用药依从性高于非独居患者，非智慧药师平台组的非独居患者用药依从性优于独居患者（均P<0.05）。2组用药种类≥3种的患者用药依从性均优于＜3种的患者（均P<0.05）。除年龄项下的＞80岁患者项目外本研究所观察其他影响因素项目用药依从性得分智慧药师平台组均高于非智慧药师平台组，差异均有统计学意义（均P<0.01）。智慧药师平台组用药依从性得分明显高于非智慧药师平台组［（6.9±1.3）分比（4.8±2.2）分］，差异有统计学意义（P＜0.001）。结论 智慧药师平台的使用可提高患者的用药依从性。

• Objective To explore the effect of intelligent pharmacist platform on patients′ medication compliance. Methods A total of 500 patients with underlying diseases and taking drugs in the outpatient department of Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University from June 3 to December 3, 2023 were randomly recruited. According to whether the intelligent pharmacist platform was used, the patients were divided into the non-intelligent pharmacist platform group (250 cases) and the intelligent pharmacist platform group (250 cases). The medication adherence was assessed by questionnaires covering the content of Morisky-Green scale and telephone follow-up, and the factors of medication adherence were analyzed. Results The medication compliance of patients aged 60-70 years old in the intelligent pharmacist platform group was the best, and the medication compliance of patients aged <60 years old was the worst(all P<0.05). In the intelligent pharmacist platform group, the medication compliance of patients with bachelor′s degree or above was the best, and the medication compliance of patients with junior high school education was the worst; while, in the non-smart pharmacist platform group, the medication compliance of patients with college education was the best, and the medication compliance of patients with primary school education or below was the worst (all P<0.05). The medication compliance of patients living alone in the intelligent pharmacist platform group was higher than that of patients living alone, and the medication compliance of patients living alone in the non-intelligent pharmacist platform group was better than that of patients living alone(both P<0.05). The medication compliance of patients with ≥3 kinds of drugs was better than that of patients with <3 kinds of drugs in both groups(both P<0.05). Except for the item of age > 80 years old in this study, the scores of medication compliance of other influencing factors in the intelligent pharmacist platform group were higher than those in the non-intelligent pharmacist platform group, and the differences were statistically significant(all P<0.01). The medication compliance score of the intelligent pharmacist platform group was significantly higher than that of the non-intelligent pharmacist platform group ［(6.9±1.3)scores vs (4.8±2.2)(P<0.001). Conclusion The application of intelligent pharmacist platform can improve the medication compliance of patients.