麻醉前视频宣教对全麻患者麻醉信息获取、术前焦虑及麻醉满意度的影响

目的 观察在麻醉前访视时辅助视频宣教对全麻患者麻醉信息获取、术前焦虑及麻醉满意度的影响。方法 将105 例全麻患者采用随机数字表法分为视频组（V 组）53 例和常规组（N 组）52 例,麻醉前访视后,所有患者完成访视内容问卷、STAI状态焦虑评分量表（S-AI）及焦虑视觉类比试验（AVAT）评分,术后24h 填写麻醉满意度评分,记录入手术室后10min的心率和平均动脉压值。结果 V 组问卷分数（3.80±1.21）分,显著高于N 组患者（2.79±1.03）分（P＜0.01）,V 组患者S-AI 评分（43.11±8.72）分,高于N 组患者（38.37±10.72）分（P＜0.05）,V 组患者AVAT 评分为（3.15±0.82）分,N 组患者（2.94±0.75）分（P ＞0.05）,V 组患者满意度评分（95.90±5.49）分,高于N 组患者（92.20±5.95）分（P＜0.05）。结论 对全麻患者麻醉前访视时进行视频宣教和告知,能增加其对宣教和告知内容信息的获取量,提高患者的麻醉满意度;但难以判断其对于术前焦虑的影响。     

宁波市留学生国际医疗服务满意度影响因素分析

为掌握留学生对宁波市医疗服务的满意度,采用问卷调查法,以宁波2所高校的国际留学生为研究对象,分别针对留学生(患方)的14项指标和医院(院方)的7项指标进行问卷调查,采用卡方检验分析患方和院方总体满意度的影响因素,并进一步采用多元logistic回归模型校正患方影响因素,获得校正后院方的影响因素.结果显示:留学生对国际医...     

A cellular automata traffic flow modeling of desired speed variability

The satisfaction rate of desired velocity in the case of a mixture of fast and slow vehicles is studied by using a cellular automaton method. It is found that at low density the satisfaction rate depends on the maximal velocity. However, the behavior of the satisfaction rate as a function of the coefficient of variance is independent of the maximal velocity. This is in good agreement with empirical results obtained by Lipshtat [Phys. Rev. E 79 066110 (2009)]. Furthermore, our numerical result demonstrates that at low density the satisfaction rate takes higher values, whereas the coefficient of variance is close to zero. The coefficient of variance increases with increasing density, while the satisfaction rate decreases to zero. Moreover, we have also shown that, at low density the coefficient variance depends strongly on the probability of overtaking.     

多数满意偏好规则的充分必要条件

研究基于满意选择的群体决策的一个基本数学理论问题. 给出并证明了群体在方案集上的任一群体满意偏好映射是多数满意偏好规则的充分必要条件.     

基于满意度的预约门诊排队策略研究

为了推进预约挂号服务在医院有效的应用,本文结合实际情形,提出了病人满意度度量的新指标——加权病人等待时间,建立了以最大化病人满意度为目标的排队模型,并分析了医院目前常用的两种预约排队策略:不同优先级预约排队策略与时间段优先型预约排队策略。通过两种预约策略的比较,得到后者优于前者;通过预约与非预约策略的比较,得到预约策略优于非预约策略。在此基础上,对两种预约策略进行优化分析,求解出两种预约策略分别对应的最佳预约与非预约病人比例。最后,通过数值分析说明了应用预约策略对改善病人等待满意度的合理性及有效性,并对应用预约策略达到更好的满意度提出了可行建议。     

心理资本调节工作满意度对工作绩效的影响

为了探索心理资本和工作满意度对工作绩效的交互影响作用,期望通过增强员工的心理资本来提高企业的员工工作满意度和工作绩效.在研究中引入了积极心理学的概念、心理资本以及工作满意度,并构建了心理资本调节工作满意度对工作绩效的影响作用的研究框架.通过对IT企业员工的大样本问卷调查,利用321名有效被试的数据检验了假设,结果发现：年龄越大IT企业员工的任务绩效和关系绩效越好;心理资本、工作满意度越高,任务绩效和关系绩效越好;心理资本会调节工作满意度对关系绩效的影响,却不能调节工作满意度对任务绩效的影响.     

基于SEM的城市公交服务质量-满意度-忠诚度研究

将城市公交服务质量简化为乘客便利感知质量、乘车环境质量、运营服务质量三个维度,运用结构方程模型(SEM)建立了常规公交乘客服务质量-满意度-忠诚度模型,并结合南昌市实际调查数据,通过服务质量指标因子定量分析各变量对乘客满意度-忠诚度的影响。研究结果表明,乘客便利感知质量、乘车环境质量、运营服务质量对乘客满意度均有直接正向相关性,而对乘客忠诚度则无直接正向相关性;影响城市公交服务质量的重要因素依次是公交路线的换乘便利情况、公交车况、公交卫生状况和公交运行安全性。     

考虑评价信息满意度的群体信息集结方法研究

信息集结方法是群体评价的重要研究内容,针对该问题本文对评价信息满意度进行测度,并基于此对群体信息的集结方法展开研究。该方法根据指标信息的变化赋予评价者不同的权重,以改变现有研究中评价者权重大多固定不变的做法,旨在使群体信息集结的结果更加公正和准确。首先对问题进行界定并给出评价信息满意度的定义;然后分别给出先验信息满意度和评价过程中的信息满意度的确定方法,利用先验信息满意度确定各评价者的初始权重,并利用评价过程中的信息满意度对其修正,从而得到各评价者的权重矩阵。最后,按照各评价者的评价信息满意度对群体评价信息进行集结。     

考虑双方感知满意度的应急资源再配置方法

突发事件常诱发次生灾害,在外界大规模应急资源配送前,发挥区域互救优势,共享原生灾害点应急资源进行资源再配置是及时响应次生灾害的重要手段之一。本文尝试将灾民心理因素融入到应急资源的再配置问题中,基于前景理论提出了原生灾害点灾民的感知满意度模型,结合生存概率曲线对次生灾害点灾民感知满意度进行刻画,构建了考虑双方灾民感知满意度的多目标优化模型。此外,引入缩放系数和违反约束检查函数,改进多目标粒子群算法以加快算法初始化,进而提升模型求解效率。最后,本文通过算例验证了模型和算法的可行性和科学性,并与传统资源配置问题进行了对比,为具有连锁反应的突发事件应急管理提供决策支持。     

A possibilistic-valued multi-criteria decision-making support for marketing activities in e-commerce: Feedback Based Diagnosis System

In this paper we propose a multi-criteria decision making support system, called a “Feedback Based Diagnosis System” (FBDS), to aid the marketing team of an e-commerce (EC) organisation in its activities. The FBDS database is composed of customers’ satisfaction measures. These measures are related to the different services an EC offers to its customers. Thus, they constitute a multi-criteria (MC) evaluation of EC performances. In the general framework of recommender systems, these available MC evaluations are considered as useful information for other customers to help them to objectively, rationally and exhaustively assess and compare the numerous ECs among the ones likely to meet their needs. Our FBDS is not concerned with improving or automating such a recommendation process for customers. Indeed, it is merely EC management team oriented. In fact, the MC feedback database is used to diagnose the EC health and improve its strategy. In the proposed FBDS, a possibilistic framework is combined with the multi criteria representation to capture the variability and the divergence of customers’ evaluations w.r.t. each criterion. Then, an aggregation based on a weighted arithmetic mean (WAM) is proposed to obtain a synthetic appraisal of ECs. The WAM aggregation models the strategy agreed on by the EC management team. Computing the synthesis score of an EC consists in propagating the uncertainty related to its partial scores through the WAM. The possibilistic representation guarantees that no information is lost in the collective evaluation process by the consumers’ community. However, diagnosis indicators are finally proposed to the marketing team to make the interpretation of some possibilistic results more comprehensive when necessary.