中国血液净化 ›› 2023, Vol. 22 ›› Issue (09): 675-678.doi: 10.3969/j.issn.1671-4091.2023.09.009

• 临床研究 • 上一篇    下一篇

MMAS-8量表调查单中心腹膜透析患者药物依从性现况及影响因素分析

周  祥    张庆庆    贾依娜西·阿扎提    孙  宇   

  1. 新疆维吾尔自治区自然科学基金项目(2021D01C143)
  • 收稿日期:2023-04-10 修回日期:2023-07-14 出版日期:2023-09-12 发布日期:2023-09-12
  • 通讯作者: 周祥 E-mail:616101999@qq.com
  • 基金资助:
    新疆维吾尔自治区自然科学基金项目(2021D01C143)

Investigation on the status quo of drug compliance and its influencing factors in peritoneal dialysis patients in a single center by using the MMAS-8 scale

ZHOU Xiang, ZHANG Qing-qing, JIAYINAXI Azhati, SUN Yu   

  1. Department of Nephrology, Xinjiang Clinical Research Center for Kidney Disease, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, China
  • Received:2023-04-10 Revised:2023-07-14 Online:2023-09-12 Published:2023-09-12
  • Contact: 830001 乌鲁木齐,1新疆维吾尔自治区人民医院肾病科 新疆肾脏病临床医学研究中心 E-mail:616101999@qq.com

摘要: 目的  通过调查单中心腹膜透析患者药物依从性的现状,分析影响PD患者药物依从性的危险因素。 方法  本研究利用中文版Morisky药物依从性8项量表评估新疆自治区人民医院肾病科腹膜透析中心155例腹膜透析患者药物依从性情况,并进一步分析相关影响因素,然后使用接收者操作特征(ROC)曲线评估逻辑回归模型的预测能力。  结果  腹膜透析患者用药依从性好112例(占72.258%),依从性差43例(占27.742%);单因素分析得出透析龄(χ2=9.121,P=0.010)、吸烟史(χ2=7.504,P=0.006)、是否南疆地区分布(χ2=5.195,P=0.023)和共同决策分数(t=2.594,P=0.010)等影响因素组间比较差异有统计学意义;Logistic回归多因素分析显示透析龄(OR=1.011,95% CI:1.000~1.022,P=0.047)、地区分布(OR=2.450,95% CI:1.020~5.886,P=0.045)和共同决策分数(OR=1.093,95% CI:1.001~1.192,P=0.047)可能是影响患者药物依从性的主要因素,利用ROC评估预测模型的区分度为良好(AUC=0.685)。 结论  应结合患者常居住地,共同决策参与情况对其获得信息的机会进行综合评估,改善患者对药物治疗的理性认知,从而提高药物治疗依从性,也为腹膜透析专科护士高质量目标导向护理管理PD患者提供佐证。

关键词: 腹膜透析, 药物依从性, 共同决策问卷

Abstract: Objective  To investigate the status quo of drug compliance and the risk factors affecting drug compliance in peritoneal dialysis (PD) patients in a single center.  Methods  The Chinese version of Morisky drug compliance eight-item scale was used to evaluate the drug compliance and its relevant factors in a total of 155 PD patients treated in the Peritoneal Dialysis Center, Department of Nephrology, People's Hospital of Xinjiang Autonomous Region. The receiver operating characteristics (ROC) curve was used to evaluate the predictive ability of logistic regression model.  Results  Good drug compliance was found in 112 PD patients (72.258%), and poor drug compliance was found in 43 PD patients (27.742%). Univariate analyses showed that dialysis age (χ2=9.121, P=0.010), smoking history (χ2=7.504, P=0.006), regional distribution (χ2=5.195, P=0.023) and joint-decision score (t=2.594, P=0.010) significantly affected the differences among groups. Multivariate logistic regression demonstrated that dialysis age (OR=1.011, 95% CI: 1.000~1.022,     P=0.047), regional distribution (OR=2.450, 95% CI: 1.020~5.886, P=0.045) and joint-decision score (OR=1.093, 95% CI: 1.001~1.192, P=0.047) were the main factors affecting drug compliance in PD patients.  ROC curve had a better ability to assess the differentiation performance of the prediction model (AUC=0.685).  Conclusion  The chance of the PD patients to access information based on their resident place and their participation in joint-decision making should be comprehensively evaluated, so as to promote their rational cognition and compliance of the drug therapy, and to provide evidences for professional PD nurses to carry out high-quality and goal-oriented nursing management of PD patients.

Key words: Peritoneal dialysis, Medication adherence, Shared decision making questionnaire

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