基于聚类分析的江西省三家a级医院患者满意度评价研究

Li-qing Li, Qiao Liu, H. Zhou
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引用次数: 0

摘要

本文通过对具体医院的实地调研和系统分析,提出了患者满意度的概念,确立了影响患者满意度的因素。首先,随机抽取14家三甲医院中的10家医院为例,发放患者满意度问卷。然后,通过对收集到的问卷进行整理和分析,得出初步的信息表。最后,通过SPSS 16.0软件对这些初始信息表进行k-means聚类分析。从k-means聚类分析结果来看,将这10家医院分为三组,同时,从影响患者满意度的因素来看,公众形象、医院环境、医德医风、管理水平的均方能最大限度地反映不同聚类病例间的差异,但其他一些因素,如医疗质量、服务态度、治疗过程、收费水平、临床结果和医疗程序不应该用于描述性目的,因为聚类均值是相等的。分析结果符合江西省的实际情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Patient Satisfaction Degree Evaluation of Three A-level Hospitals in Jiangxi Province Based on Cluster Analysis
In the paper, the authors proposed the concept of patient satisfaction degree and established some factors that affect patient satisfaction degree according to the research on the spot in the concrete hospitals and systemic analysis. Firstly, it took ten hospitals in the 14 three A-level hospitals as examples in random, and handed out the questionnaires of patient satisfaction degree. Then the paper easily obtained the initial information table based on the collation and analysis of the collected questionnaires. At last, the paper classified these initial information tables by the means of k-means cluster analysis through the software of SPSS 16.0. From the result of k-means cluster analysis, these ten hospitals were divided into three groups, meanwhile, from the light of factors that affect patient satisfaction degree, the mean square of public image, hospital environment, medic ethics and management level can maximize the differences among cases in different clusters, but some other factors, such as medical quality, service attitude, treatment processes, charge level, clinic result and medical procedures shouldn't be used for descriptive purposes for the cluster means are equal. The analysis result is in accordance with the actual situation of Jiangxi province.
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