目的探讨患者积极度概念的定义及内涵。方法系统检索中国知网、万方数据、维普网、PubMed、SinoMed、CINAHL、Cochrane Library、Web of Science、Embase数据库中患者积极度的相关文献,采用Walker和Avant的概念分析法对纳入文献进行分...目的探讨患者积极度概念的定义及内涵。方法系统检索中国知网、万方数据、维普网、PubMed、SinoMed、CINAHL、Cochrane Library、Web of Science、Embase数据库中患者积极度的相关文献,采用Walker和Avant的概念分析法对纳入文献进行分析。结果共纳入41篇文献。患者积极度的定义属性为参与自我健康管理意愿、参与自我健康管理知识、参与自我健康管理行动和参与自我健康管理信心;其前因为人口学特征、疾病相关因素、心理因素、社会因素;后果为促进健康行为、改善临床结局、降低医疗使用率与成本。测量工具包括患者积极度量表、医疗消费者参与度量表、医疗消费者健康积极指数、糖尿病患者积极度影响和动机量表。结论该研究明确了患者积极度的定义属性、前因及后果,可为以后国内研制不同疾病患者积极度特异性评估工具,构建本土化的患者积极度干预方案等提供参考。展开更多
In formal concept analysis ,concept lattice as the fundamental data structure can be construct-ed front a formal context. Howevt, r,it is required that the relation between object and feature in the for-real context s...In formal concept analysis ,concept lattice as the fundamental data structure can be construct-ed front a formal context. Howevt, r,it is required that the relation between object and feature in the for-real context should be certain, For uncertain relation,this paper uses the thoughts of upper and lowerapproximation in rough set theory to deal with it ,and gives out the corresponding definitions of missing-value context and rough formal concept, Based on them, this paper employs rough concept lattice,formed by rough formal concepts and partial order relation on them,as the basic data structure for con-cept analysis and knowledge acquisition. Then a theroem is presented to describe the method of extract-ing rules from constructed rough formal concept lattice,and the semantic interpretation of discoveredrules is explained.展开更多
文摘目的探讨患者积极度概念的定义及内涵。方法系统检索中国知网、万方数据、维普网、PubMed、SinoMed、CINAHL、Cochrane Library、Web of Science、Embase数据库中患者积极度的相关文献,采用Walker和Avant的概念分析法对纳入文献进行分析。结果共纳入41篇文献。患者积极度的定义属性为参与自我健康管理意愿、参与自我健康管理知识、参与自我健康管理行动和参与自我健康管理信心;其前因为人口学特征、疾病相关因素、心理因素、社会因素;后果为促进健康行为、改善临床结局、降低医疗使用率与成本。测量工具包括患者积极度量表、医疗消费者参与度量表、医疗消费者健康积极指数、糖尿病患者积极度影响和动机量表。结论该研究明确了患者积极度的定义属性、前因及后果,可为以后国内研制不同疾病患者积极度特异性评估工具,构建本土化的患者积极度干预方案等提供参考。
文摘In formal concept analysis ,concept lattice as the fundamental data structure can be construct-ed front a formal context. Howevt, r,it is required that the relation between object and feature in the for-real context should be certain, For uncertain relation,this paper uses the thoughts of upper and lowerapproximation in rough set theory to deal with it ,and gives out the corresponding definitions of missing-value context and rough formal concept, Based on them, this paper employs rough concept lattice,formed by rough formal concepts and partial order relation on them,as the basic data structure for con-cept analysis and knowledge acquisition. Then a theroem is presented to describe the method of extract-ing rules from constructed rough formal concept lattice,and the semantic interpretation of discoveredrules is explained.