摘要
目的挖掘与分析在线健康社区妊娠期高血糖(HIP)用户的网络问答文本,为HIP患者健康信息服务提供参考。方法采集"糖尿病网"和"妈妈网"问答数据108590条,运用社会网络分析法构建文本内容特征词共现网络并进行可视化分析与展示。在识别内容主题的基础上进一步分析主题间及主题内部节点关系,并结合Wilson信息行为理论对内容主题进行属性区分。结果本研究构建出包含321个节点的HIP用户问答文本特征词网络,其中最大连通子网包括177个节点。围绕血糖控制和应对疾病压力两大类信息寻求动机,共识别出12个内容主题。其中,4个主题具有生理属性、7个主题具有认知属性、6个主题具有情感属性。药物治疗、饮食与营养包含的特征词数量最为突出,各主题内部均存在高点度中心度的特征词。结论HIP用户关注的内容具有多种属性、多个维度。临床、社区医护人员及其他健康信息服务者可不断完善针对HIP患者的信息服务内容,满足其健康信息需求。
Objective To explore and analyze the online Q&A texts for hyperglycemia in pregnancy(HIP)users in online health communities,and to provide references for health information services for HIP patients.Methods A total of 108590 Q&A texts were collected from"Diabetes Forum"and"Mom Forum".Social network analysis was used to construct the co-occurrence network of feature words in text content and carry out visual analysis and display.On the basis of identifying content themes,the relationship between themes and the nodes within themes were further analyzed,and the attributes of content themes were differentiated with Wilson's information behavior model.Results In this study,a question and answer text feature word network for pregnant hyperglycemia users with 321 nodes was constructed,among which the largest sub-net included 177 nodes.A total of 12 content themes were identified to seek motivation around two major categories of information,including blood sugar control and coping with disease stress.Among them,the themes with physiological,cognitive,and emotional attributes were 4,7 and 6,respectively.The number of feature words contained in drug treatment,diet and nutrition was the most prominent,and there were feature words with high degree of centrality in each theme.Conclusions The content that hyperglycemia in pregnancy(HIP)users pay attention to has multiple attributes and dimensions.Clinical and community healthcare workers and other health information providers can continuously improve the information service content for HIP patients to meet their health information needs.
作者
李博文
马誉萁
吴彩芳
段红梅
侯小妮
Li Bowen;Ma Yuqi;Wu Caifang;Duan Hongmei;Hou Xiaoni(School of Nursing,Beijing University of Chinese Medicine,Beijing 102488,China;Department of Obstetrics,Suzhou Municipal Hospital East District,Suzhou 215000,China)
出处
《中华现代护理杂志》
2023年第33期4590-4595,共6页
Chinese Journal of Modern Nursing
基金
北京中医药大学教育科学研究课题(XJYB2024)。
关键词
高血糖症
妊娠
社会网络分析
网络健康信息
主题挖掘
Hyperglycemia
Pregnancy
Social network analysis
Online health information
Theme mining