北京市社区慢病患者心脑血管疾病风险预测研究
发布时间:2018-04-07 17:15
本文选题:社区卫生服务 切入点:慢性病 出处:《中国全科医学》2017年05期
【摘要】:目的基于北京市社区慢病患者的危险因素,测算心脑血管疾病患病风险,分析慢病管理的形势与挑战,比较城乡差别,提出加强社区慢病管理的对策。方法根据分层整群抽样原则,于2015年9月分别对北京市西城区1个城市街道和平谷区1个农村乡镇的社区卫生服务中心进行现场调研,纳入两个社区卫生服务中心管理的所有高血压、糖尿病患者7 535例作为研究对象。运用世界卫生组织(WHO)/国际高血压学会(ISH)心脑血管疾病风险预测图对未患心脑血管疾病者未来10年发生心脑血管疾病的风险进行测算。结果回收有效问卷7 215份,有效回收率为95.75%。其中城市3 589例,农村3 626例。未患心脑血管疾病者4 378例,其中城市1 796例,农村2 582例。城市和农村慢病患者年龄、吸烟率、慢病分布、高脂血症患病率、体质指数(BMI)≥23 kg/m2所占比例比较,差异均有统计学意义(P0.05)。未患心脑血管疾病者患心脑血管疾病风险10%(低风险)、10%~19%(中风险)、20%~29%(高风险)、30%~40%(高风险)和40%(高风险)分别为2 342例(53.49%)、953例(21.77%)、815例(18.62%)、186例(4.25%)和82例(1.87%)。城市患病风险高于农村,差异有统计学意义(χ~2=171.665,P0.05)。患者低风险、中风险、高风险和已患心脑血管疾病者分别为2 342例(32.46%)、953例(13.21%)、1 083例(15.01%)和2 837例(39.32%)。城市患者中,已患心脑血管疾病者为1 793例(49.96%)。结论社区卫生服务机构在高危患者管理中发挥着重要作用;社区心脑血管疾病形势严峻,城市任务更艰巨;需强化分级诊疗与分工协作,深化社区慢病管理,提高社区医患双方的风险管理意识。
[Abstract]:Objective to calculate the risk of cardiovascular and cerebrovascular diseases, analyze the situation and challenges of chronic disease management, compare the differences between urban and rural areas, and put forward the countermeasures to strengthen the management of chronic disease in community based on the risk factors of chronic disease patients in Beijing.Methods according to the principle of stratified cluster sampling, the community health service centers of one city street in Xicheng District and one rural town in Pinggu District of Beijing were investigated in September 2015.A total of 7,535 patients with hypertension and diabetes were included in the study.The risk of cardiovascular and cerebrovascular diseases in patients without cardiovascular and cerebrovascular diseases in the next 10 years was estimated by using WHO / ISH (World Health Organization / International Hypertension Society).Results 7 215 valid questionnaires were collected and the effective recovery rate was 95.75.There were 3 589 cases in cities and 3 626 cases in rural areas.There were 4 378 cases without cardiovascular and cerebrovascular diseases, including 1 796 cases in urban areas and 2 582 cases in rural areas.Age, smoking rate, distribution of chronic diseases, prevalence of hyperlipidemia and BMI 鈮,
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