大数据背景下医务工作者医学信息素养与情报服务需求  

Medical Information Literacy and Information Service Needs of Medical Workers in the Context of Big Data

作　　者：崔月婷[1] 柴培钰 时小莹 李婷 胡欣[1] 张迪[1] 胡剑平 CUI Yue-ting;CHAI Pei-yu;SHI Xiao-ying;LI Ting;HU Xin;ZHANG Di;HU Jian-ping(Anhui Institute of Medical Information,Hefei,Anhui Province,230061 China)

机构地区：[1]安徽省医学情报研究所,安徽合肥230061

出　　处：《中国卫生产业》2020年第34期14-18,共5页China Health Industry

摘　　要：目的通过问卷调查了解大数据环境下安徽省医务工作者医学信息素养与情报服务需求。方法2019年11月1—30日,采用问卷星网络调研与现场调研相结合的方式,调研安徽省全省1587名医务工作者医学信息医学信息素养与情报服务需求。分析不同性别、年龄层次、医院类别、医院级别、工作身份、职称、学历、是否知晓医疗大数据为特征的医务工作者主动获取医学信息的差异,获取医学信息的目的、类别、途径以及满意度情况,比较不同数据库和检索系统利用情况及情报服务需求。结果共收集有效问卷1506份,总回收率94.89%。参与调研医院174家。其中男性、知晓医疗大数据的医务工作者医学信息主动获取率高于女性、不知晓医疗大数据的医务工作者,差异有统计学意义(P<0.05)。年龄46~55岁、省级公立医院、三级医院、临床医生、高级职称、硕士研究生(包括在读)主动获取医学信息比例最高。医学信息获取目的前3位分别是指导临床实践(67.27%)、撰写论文(66.96%)、解答疑惑(63.01%);获取类别前3位分别是诊疗指南(79.18%)、临床新进展或应用(78.31%)、医学专著(64.27%);获取途径前3位分别是专业会议(81.39%)、医学类专业书籍(80.52%),微博、微信群、公众号、医学论坛(78.08%)。大多数医务工作者主动获取医学信息频率频繁。专业数据库和搜索引擎以中文专业数据库和相关网络搜索引擎为主。认为获取医学信息存在不便或困难的医务工作者1079例。造成医学信息获取不便或困难的影响因素前3位为工作繁忙、空余时间少(66.73%);专业英文难度较大,增加阅读压力(65.71%);检索不便,相似内容过多(62.74%)。医学信息总体满意度67.60%,影响满意度前3位的分别是不确定获取的信息可靠性或价值(63.32%),不明确获取有价值信息的途径(61.48%),不清楚如何筛选有用信息或关键词(56.97%)。医务工�Objective To understand the medical information literacy and intelligence service needs of medical workers in Anhui Province under the big data environment through questionnaire survey.Methods From November 1 to 30,2019,a combination of questionnaire star network survey and field survey was used to investigate 1587 cases of medical workers in Anhui Province,medical information,medical information literacy and information service needs.Analyze the differences in the active acquisition of medical information among medical workers with different gender,age level,hospital category,hospital level,job status,job title,education background,and whether they are aware of medical big data,and the purpose,category,way and satisfaction of obtaining medical information situation,compare the utilization of different databases and retrieval systems and the demand for intelligence services.Results A total of 1506 valid questionnaires were collected,with a total recovery rate of 94.89%.174 hospitals participated in the investigation.Among them,the active acquisition rate of male medical workers who knew big medical data was higher than that of female medical workers who did not know big medical data,and the difference was statistically significant(P<0.05).Those aged 46-years old,provincial public hospitals,tertiary hospitals, clinicians, senior professional titles, and postgraduates (including current students) actively obtain medical information. The top three for medical information acquisition purposes are to guide clinical practice (67.27%), write papers (66.96%), and answer questions (63.01%);the top three for acquisition categories are diagnosis and treatment guidelines (79.18%), clinical new developments or applications (78.31%), medical monographs (64.27%);the top three sources of access of professional conferences (81.39%), medical professional books (80.52%), Weibo, WeChat groups, public accounts, and medical forums (78.08%). Most medical workers actively obtain medical information frequently. Professional databases and

关 键 词：医学信息 检索 医务工作者 

分 类 号：R19[医药卫生—卫生事业管理]