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ACS非血运重建患者抗血小板治疗依从性及其影响因素分析
引用本文:冯玲. ACS非血运重建患者抗血小板治疗依从性及其影响因素分析[J]. 中国药房, 2014, 0(30): 2832-2834
作者姓名:冯玲
作者单位:天津市武清区人民医院心内科,天津301700
基金项目:天津市武清区科技发展计划项目(No.wqkj201331)
摘    要:目的:研究急性冠状动脉综合征(ACS)非血运重建患者抗血小板治疗依从性的现状,分析其影响因素并提出对策。方法:采用自拟问卷形式进行调查,包括患者资料来源、医源性因素、药物因素等,评判患者用药依从性,应用统计方法分析上述因素与用药依从性的因果关系。结果:209例患者中,依从性好的32例,仅占15%。经济收入、文化程度、医疗保险、复诊次数、医师用药指导、出院时间等是影响患者用药依从性的主要因素。结论:ACS非血运重建患者依从性整体较差,医师可制订相应干预措施,从加强社区医师培训、加强患者用药指导、选择价格低的药物、减少药物副作用等方面提高患者依从性。

关 键 词:急性冠状动脉综合征  抗血小板治疗  依从性  影响因素  干预措施

Analysis of the Compliance of ACS Patients without Reascularization to Anti-platelet Therapy and Influential Factors
FENG Ling. Analysis of the Compliance of ACS Patients without Reascularization to Anti-platelet Therapy and Influential Factors[J]. China Pharmacy, 2014, 0(30): 2832-2834
Authors:FENG Ling
Affiliation:FENG Ling(Dept. of Cardiology, Tianjin Wuqing District People's Hospital, Tianjin 301700, China)
Abstract:OBJECTIVE: To study the compliance of acute coronary syndrome (ACS) patients without reascularization to anti-platelet therapy, and to analyze influential factors and put forward countermeasures. METHODS: A self-designed questionnaire forms included data source of patients, iatrogenic factors and drug factors, etc. The compliance of patients was evaluated, and the causal relationship of above factors and medication compliance was analyzed statistically. RESULTS: Among 209 patients, 32 pa- tients had good compliance, accounting for 15%. The economic income, educational level, health insurance, follow-up visits, a doctor's medication guide and discharge time were the main influential factors of patients medication compliance. CONCLU- SIONS: ACS patients without reascularization treatment had poor compliance. Doctors can make corresponding intervention strategies, such as strengthening community doctor training and medication guidance for patients, choosing the drugs with low price, reducing the drug side effects, to improve patient's compliance.
Keywords:Acute coronary syndrome  Anti-platelet therapy  Compliance  Influential factors  Intervention measure
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