First,the analytical hierarchy process(AHP),which stands for the subjective weighting method,and the entropy method,which stands for the objective weighting method,are chosen to calculate the index weights of the cont...First,the analytical hierarchy process(AHP),which stands for the subjective weighting method,and the entropy method,which stands for the objective weighting method,are chosen to calculate the index weights of the contract risks of third party logistics(TPL),respectively.Then,they can determine the combination weights using the combination weighting method.Second,using the combination weights,the contract risks of TPL are evaluated through the fuzzy comprehensive evaluation method.According to the combination weights,the most important risk factor of the contract risks of TPL is choosing sub-contractors.The results are basically consistent with the facts and show that the weights determined by the combination weighting method can avoid the man-made deviations of the subjective weighting method on the one hand,and prevent results opposite to the reality brought about by the objective weighting method on the other hand.Meanwhile,the results of the fuzzy comprehensive evaluation are that the contract risks of TPL are at a high risk level.Roughly this matches real situations,and it indicates that the combination weighting method can generate the comprehensive assessment more scientifically and more reasonably as well.展开更多
背景高血压是心血管疾病主要的危险因素,降压用药不仅要考虑患者血压特征,也要考虑患者合并症情况。现阶段,基于家庭医生签约服务对高血压患者的服药状况及影响因素研究比较缺乏。目的调查安徽省界首市家庭医生签约服务的高血压患者服...背景高血压是心血管疾病主要的危险因素,降压用药不仅要考虑患者血压特征,也要考虑患者合并症情况。现阶段,基于家庭医生签约服务对高血压患者的服药状况及影响因素研究比较缺乏。目的调查安徽省界首市家庭医生签约服务的高血压患者服药现状,描述患者服药行为与患者特征之间的关联,探索患者用药调整的影响因素,并分析基层高血压患者用药的合理性。方法采用整群抽样的方法,于2021年7—8月从安徽省界首市随机抽取48个行政村,通过面对面调查法采用自制问卷收集患者特征和服药数据,参照《国家基层高血压防治管理指南2020版》将问卷中患者提到的降压药分为如下5类:A类为血管紧张素转换酶抑制剂(ACEI)和血管紧张素受体阻滞剂(ARB),B类为β受体阻滞剂,C类为钙通道阻滞剂(CCB),D类为利尿剂,E类为单片复方制剂。通过科大讯飞智能语音血压计的后台获取患者上传的近1年血压数据,分析不同特征患者的服药行为。采用多因素Logistic回归分析探讨高血压患者用药调整的影响因素。本研究中联合用药是指服用复方制剂或2种以上降压药,用药调整是指患者过去服用其他降压药。结果本研究共纳入高血压患者3005例,其中男1291例(43.0%)、女1714例(57.0%),平均年龄为(65.5±9.8)岁,高血压服药率为79.1%,联合用药率为40.2%。2376例服用降压药的患者中,不同类型降压药服用率从高到低依次为(部分患者存在联合用药):E类(39.6%)、C类(35.1%)、D类(20.3%)、A类(20.1%)、B类(3.7%);服用最多的降压药为复方利血平(33.7%)。对于年均血压≥160/100mm Hg的患者,仍有12.2%和4.9%未服用降压药。患者联合用药以E类降压药为主。年均“舒张压≥100 mm Hg”且“患合并症”的患者,调整后A类和C类降压药的服用率增加相对较多,年均“收缩压≥160 mm Hg”且“未患合并症”的患者,调整后E类降压药的服展开更多
基金The National Key Technology R&D Program of China during the 11th Five-Year Plan Period(No.2006BAH02A06)
文摘First,the analytical hierarchy process(AHP),which stands for the subjective weighting method,and the entropy method,which stands for the objective weighting method,are chosen to calculate the index weights of the contract risks of third party logistics(TPL),respectively.Then,they can determine the combination weights using the combination weighting method.Second,using the combination weights,the contract risks of TPL are evaluated through the fuzzy comprehensive evaluation method.According to the combination weights,the most important risk factor of the contract risks of TPL is choosing sub-contractors.The results are basically consistent with the facts and show that the weights determined by the combination weighting method can avoid the man-made deviations of the subjective weighting method on the one hand,and prevent results opposite to the reality brought about by the objective weighting method on the other hand.Meanwhile,the results of the fuzzy comprehensive evaluation are that the contract risks of TPL are at a high risk level.Roughly this matches real situations,and it indicates that the combination weighting method can generate the comprehensive assessment more scientifically and more reasonably as well.
文摘背景高血压是心血管疾病主要的危险因素,降压用药不仅要考虑患者血压特征,也要考虑患者合并症情况。现阶段,基于家庭医生签约服务对高血压患者的服药状况及影响因素研究比较缺乏。目的调查安徽省界首市家庭医生签约服务的高血压患者服药现状,描述患者服药行为与患者特征之间的关联,探索患者用药调整的影响因素,并分析基层高血压患者用药的合理性。方法采用整群抽样的方法,于2021年7—8月从安徽省界首市随机抽取48个行政村,通过面对面调查法采用自制问卷收集患者特征和服药数据,参照《国家基层高血压防治管理指南2020版》将问卷中患者提到的降压药分为如下5类:A类为血管紧张素转换酶抑制剂(ACEI)和血管紧张素受体阻滞剂(ARB),B类为β受体阻滞剂,C类为钙通道阻滞剂(CCB),D类为利尿剂,E类为单片复方制剂。通过科大讯飞智能语音血压计的后台获取患者上传的近1年血压数据,分析不同特征患者的服药行为。采用多因素Logistic回归分析探讨高血压患者用药调整的影响因素。本研究中联合用药是指服用复方制剂或2种以上降压药,用药调整是指患者过去服用其他降压药。结果本研究共纳入高血压患者3005例,其中男1291例(43.0%)、女1714例(57.0%),平均年龄为(65.5±9.8)岁,高血压服药率为79.1%,联合用药率为40.2%。2376例服用降压药的患者中,不同类型降压药服用率从高到低依次为(部分患者存在联合用药):E类(39.6%)、C类(35.1%)、D类(20.3%)、A类(20.1%)、B类(3.7%);服用最多的降压药为复方利血平(33.7%)。对于年均血压≥160/100mm Hg的患者,仍有12.2%和4.9%未服用降压药。患者联合用药以E类降压药为主。年均“舒张压≥100 mm Hg”且“患合并症”的患者,调整后A类和C类降压药的服用率增加相对较多,年均“收缩压≥160 mm Hg”且“未患合并症”的患者,调整后E类降压药的服
