Please wait a minute...
Advanced Search
数据分析与知识发现  2019, Vol. 3 Issue (4): 2-12    DOI: 10.11925/infotech.2096-3467.2018.1063
  专题 本期目录 | 过刊浏览 | 高级检索 |
在线医疗健康研究的系统综述: 研究热点、主题演化和研究方法*
吴江1,2(),刘冠君1,胡仙1
1武汉大学信息管理学院 武汉 430072
2武汉大学电子商务研究与发展中心 武汉 430072
An Overview of Online Medical and Health Research: Hot Topics, Theme Evolution and Research Content
Jiang Wu1,2(),Guanjun Liu1,Xian Hu1
1School of Information Management, Wuhan University, Wuhan 430072, China
2Center for E-commerce Research and Development, Wuhan University, Wuhan 430072, China
全文: PDF(2192 KB)   HTML ( 7
输出: BibTeX | EndNote (RIS)      
摘要 

【目的】梳理国内外在线医疗健康领域的主题演化、研究热点和研究方法, 为今后该领域的相关探索和研究提供借鉴。【文献范围】以Web of Science核心数据集为来源, 以在线医疗、在线健康作为关键词进行主题检索, 得到1 899篇相关英文文献。【方法】通过文献计量、聚类分析、纵向映射分析等方法, 对在线医疗健康的国家合作、研究热点、主题演化和研究方法进行深入分析。【结果】在线医疗健康的热点研究集中于互联网医疗健康信息、社交媒体、在线医疗健康社区、电子健康记录等内容, 其主题演化趋势与互联网信息载体的多样化、沟通的便捷化等密切相关。【局限】文献数据仅来自Web of Science核心数据集; 仅以关键词进行主题挖掘和主题演化分析, 未能进行更加深入的探索。【结论】在线医疗健康仍然具有较大的发展空间, 未来可以结合图像识别、深度学习和神经网络等技术进行更加深入的挖掘和研究。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
吴江
刘冠君
胡仙
关键词 在线医疗健康文献计量研究热点主题演化可视化    
Abstract

[Objective] This paper reviews the literature of the online health research, and discusses their methods, hot topics, theme evolution, and trends, aiming to provide reference for exploration in the future. [Coverage] The data are selected from Web of Science core collection by using the keywords of “Online medical” or “Online health”, finally 1,899 English articles were retrieved. [Methods] This paper mainly relies on the methods of bibliometrics, cluster analysis and vertical mapping analysis. [Results] Internet medical and health information, social media, online health community, electronic health records are the hot topics which are influenced by the diversification of Internet information and the convenience of online communication. [Limitations] This paper does not retrieve data from other databases and analyze the full text. The results might be biased. [Conclusions] There are still much to be explored in the field of online health. Combined with image recognition, deep learning and neural networks, more researches can be conducted in the future.

Key wordsOnline Health    Bibliometrics    Hot Topics    Theme Evolution    Visualization
收稿日期: 2018-09-25     
基金资助:*本文系国家自然科学基金项目“内容关系互动下的在线医疗社区用户行为演化研究”(项目编号: 71573197)的研究成果之一
引用本文:   
吴江,刘冠君,胡仙. 在线医疗健康研究的系统综述: 研究热点、主题演化和研究方法*[J]. 数据分析与知识发现, 2019, 3(4): 2-12.
Jiang Wu,Guanjun Liu,Xian Hu. An Overview of Online Medical and Health Research: Hot Topics, Theme Evolution and Research Content. Data Analysis and Knowledge Discovery, DOI:10.11925/infotech.2096-3467.2018.1063.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2018.1063
[1] Wu H, Lu N J. Online Written Consultation, Telephone Consultation and Offline Appointment: An Examination of the Channel Effect in Online Health Communities[J]. International Journal of Medical Informatics, 2017, 107: 107-119.
[2] Fox S. The Social Life of Health Information [R/OL]. (2011-05-12). [2018-01-01]. http://www.pewinternet.org/2011/ 05/12/the-social-life-of-health-information-2011
[3] 中国互联网络信息中心. 第37 次中国互联网络发展状况统计报告[R/OL]. [2016-01-22]. http://www.cnnic.net.cn/ hlwfzyj/hlwxzbg/201601/P020160122469130059846.pdf
[3] (China Internet Network Information Center. Statistical Report of the 37th Chinese Internet Development[R/OL]. [2016-01-22]. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/201601/ P020160122469130059846.pdf
[4] Frost J H, Massagli M P.Social Uses of Personal Health Information Within Patientslikeme, An Online Patient Community: What Can Happen When Patients Have Access to One Another's Data[J]. Journal of Medical Internet Research, 2008, 10(3): e15.
[5] Zhang X, Liu S, Deng Z H, et al.Knowledge Sharing Motivations in Online Health Communities: A Comparative Study of Health Professionals and Normal Users[J]. Computers in Human Behavior, 2017, 75: 797-810.
[6] Hess R F, Weinland J A, Beebe K.“I Am Not Alone”: A Survey of Women with Peripartum Cardiomyopathy and Their Participation in an Online Support Group[J]. Computers Informatics Nursing, 2010, 28(4): 215-221.
[7] Choi M J, Kim S H, Lee S, et al.Toward Predicting Social Support Needs in Online Health Social Networks[J]. Journal of Medical Internet Research, 2017, 19(8): e272.
[8] Goh J M, Gao G D, Agarwal R.The Creation of Social Value: Can an Online Health Community Reduce Rural-Urban Health Disparities?[J]. MIS Quarterly, 2016, 40(1): 247-263.
[9] Van Eck N J, Waltman L. Software Survey: VOSviewer, A Computer Program for Bibliometric Mapping[J]. Scientometrics, 2010, 84(2): 523-538.
[10] Cobo M J, Lopez-Herrera A G, Herrera-Viedma E, et al. SciMAT: A New Science Mapping Analysis Software Tool[J]. Journal of the American Society for Information Science and Technology, 2012, 63(8): 1609-1630.
[11] Eysenbach G, Diepgen T L.Responses to Unsolicited Patient E-Mail Requests for Medical Advice on the World Wide Web[J]. Journal of the American Medical Association, 1998, 280(15): 1333-1335.
[12] 赵蓉英, 徐灿. 信息服务领域研究热点与前沿的可视化分析[J]. 情报科学, 2013, 31(12): 9-14.
[12] (Zhao Rongying, Xu Can.Visualization Analysis of Hot Research Topics and Frontiers in the Field of Information Service[J]. Information Science, 2013, 31(12): 9-14.)
[13] Noack A. Modularity Clustering is Force-Directed Layout[J]. Physical Review E, 2009, 79(2): Article No.026102.
[14] McLeod J, Yu I, Ingledew P A. Peering into the Deep: Characterizing the Internet Search Patterns of Patients with Gynecologic Cancers[J]. Journal of Cancer Education, 2017, 32(1): 85-90.
[15] Nambisan P.Information Seeking and Social Support in Online Health Communities: Impact on Patients' Perceived Empathy[J]. Journal of the American Medical Informatics Association, 2011, 18(3): 298-304.
[16] Dart J M, Gallois C.Community Desires for an Online Health Information Strategy[J]. Australian Health Review, 2010, 34(4): 467-476.
[17] Zhang Y, He D, Sang Y M. Facebook as a Platform for Health Information and Communication: A Case Study of a Diabetes Group[J]. Journal of Medical Systems, 2013, 37(3): Article No. 9942.
[18] Bui N, Yen J, Honavar V.Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network[J]. IEEE Transactions on Computational Social Systems, 2016, 3(2): 75-87.
[19] Gabarron E, Bradway M, Fernandez-Luque L, et al.Social Media for Health Promotion in Diabetes: Study Protocol for a Participatory Public Health Intervention Design[J]. BMC Health Services Research, 2018, 18(1): 414.
[20] Balatsoukas P, Kennedy C M, Buchan I, et al.The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness[J]. Journal of Medical Internet Research, 2015, 17(6): e141.
[21] Ba S L, Wang L.Digital Health Communities: The Effect of Their Motivation Mechanisms[J]. Decision Support Systems, 2013, 55(4): 941-947.
[22] Fernandez-Luque L, Karlsen R, Melton G B.Healthtrust: A Social Network Approach for Retrieving Online Health Videos[J]. Journal of Medical Internet Research, 2012, 14(1): e22.
[23] Shahrabani S, Mizrachi Y.Factors Affecting Compliance with Use of Online Healthcare Services Among Adults in Israel[J]. Israel Journal of Health Policy Research, 2016, 5(1): 15.
[24] Doyle R J, Wang N, Anthony D, et al.Computers in the Examination Room and the Electronic Health Record: Physicians' Perceived Impact on Clinical Encounters Before and After Full Installation and Implementation[J]. Family Practice, 2012, 29(5): 601-608.
[25] Frost J, Vermeulen I E, Beekers N.Anonymity Versus Privacy: Selective Information Sharing in Online Cancer Communities[J]. Journal of Medical Internet Research, 2014, 16(5): e126.
[26] Song H, Omori K, Kim J, et al.Trusting Social Media as a Source of Health Information: Online Surveys Comparing the United States, Korea, and Hong Kong[J]. Journal of Medical Internet Research, 2016, 18(3): e25.
[27] Zhao J, Ha S J, Widdows R.Building Trusting Relationships in Online Health Communities[J]. Cyberpsychology, Behavior, and Social Networking, 2013, 16(9): 650-657.
[28] Cobo M J, Lopez-Herrera A G, Herrera-Viedma E, et al. An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to the Fuzzy Sets Theory Field[J]. Journal of Informetrics, 2011, 5(1): 146-166.
[29] Cotten S R, Gupta S S.Characteristics of Online and Offline Health Information Seekers and Factors that Discriminate Between Them[J]. Social Science & Medicine, 2004, 59(9): 1795-1806.
[30] Morahan-Martin J M. How Internet Users Find, Evaluate, and Use Online Health Information: A Cross-Cultural Review[J]. Cyberpsychology & Behavior, 2004, 7(5): 497-510.
[31] Sillence E, Briggs P, Harris P R, et al.How do Patients Evaluate and Make Use of Online Health Information?[J]. Social Science & Medicine, 2007, 64(9): 1853-1862.
[32] Hu Y F, Sundar S S.Effects of Online Health Sources on Credibility and Behavioral Intentions[J]. Communication Research, 2010, 37(1): 105-132.
[33] Rains S A, Karmikel C D.Health Information-Seeking and Perceptions of Website Credibility: Examining Web-Use Orientation, Message Characteristics, and Structural Features of Websites[J]. Computers in Human Behavior, 2009, 25(2): 544-553.
[34] Rowley J, Johnson F, Sbaffi L.Gender as an Influencer of Online Health Information-Seeking and Evaluation Behavior[J]. Journal of the Association for Information Science and Technology, 2017, 68(1): 36-47.
[35] Hao H J, Zhang K P.The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews[J]. Journal of Medical Internet Research, 2016, 18(5): e108.
[36] Sudau F, Friede T, Grabowski J, et al.Sources of Information and Behavioral Patterns in Online Health Forums: Observational Study[J]. Journal of Medical Internet Research, 2014, 16(1): e10.
[37] Paige S R, Krieger J L, Stellefson M L.The Influence of Ehealth Literacy on Perceived Trust in Online Health Communication Channels and Sources[J]. Journal of Health Communication, 2017, 22(1): 53-65.
[38] Chung J E.Antismoking Campaign Videos on Youtube and Audience Response: Application of Social Media Assessment Metrics[J]. Computers in Human Behavior, 2015, 51: 114-121.
[39] Van Der Eijk M, Faber M J, Aarts J W M, et al. Using Online Health Communities to Deliver Patient-Centered Care to People with Chronic Conditions[J]. Journal of Medical Internet Research, 2013, 15(6): e115.
[40] Young C.Community Management that Works: How to Build and Sustain a Thriving Online Health Community[J]. Journal of Medical Internet Research, 2013, 15(6): e119.
[41] Powell J, Inglis N, Ronnie J, et al.The Characteristics and Motivations of Online Health Information Seekers: Cross-Sectional Survey and Qualitative Interview Study[J]. Journal of Medical Internet Research, 2011, 13(1): e20.
[42] LeBesco K. Book Review: Online Social Support: The Interplay of Social Networks and Computer-Mediated Communication[J]. Journal of Language and Social Psychology, 2008, 27(3): 312-314.
[43] Beaudoin C E, Tao C C.Modeling the Impact of Online Cancer Resources on Supporters of Cancer Patients[J]. New Media & Society, 2008, 10(2): 321-344.
[44] Biyani P, Caragea C, Mitra P, et al.Co-Training over Domain-Independent and Domain-Dependent Features for Sentiment Analysis of an Online Cancer Support Community[C]// Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. 2013.
[45] Nambisan P.Online Health Communities: Implications for Service Innovation in Health Care Organizations[C] // Proceedings of the Academy of Innovation and Entrepreneurship, Beijing, China. 2008.
[46] Angst C M, Agarwal R.Adoption of Electronic Health Records in the Presence of Privacy Concerns: The Elaboration Likelihood Model and Individual Persuasion[J]. MIS Quarterly, 2009, 33(2): 339-370.
[47] Tavares J, Oliveira T.Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey[J]. Journal of Medical Internet Research, 2016, 18(3): e49.
[48] Rexhepi H, Ahlfeldt R M, Cajander A, et al.Cancer Patients' Attitudes and Experiences of Online Access to Their Electronic Medical Records: A Qualitative Study[J]. Health Informatics Journal, 2018, 24(2): 115-124.
[49] Thompson C A, Gomez S L, Chan A, et al.Patient and Provider Characteristics Associated with Colorectal, Breast, and Cervical Cancer Screening Among Asian Americans[J]. Cancer Epidemiology Biomarkers & Prevention, 2014, 23(11): 2208-2217.
[50] Allen-Graham J, Mitchell L, Heriot N, et al.Electronic Health Records and Online Medical Records: An Asset or a Liability Under Current Conditions?[J]. Australian Health Review, 2018, 42(1): 59-65.
[51] Zhang X, Liu S, Chen X, et al.Health Information Privacy Concerns, Antecedents, and Information Disclosure Intention in Online Health Communities[J]. Information & Management, 2018, 55(4): 482-493.
[52] Bender J L, Cyr A B, Arbuckle L, et al.Ethics and Privacy Implications of Using the Internet and Social Media to Recruit Participants for Health Research: A Privacy-by-Design Framework for Online Recruitment[J]. Journal of Medical Internet Research, 2017, 19(4): e104.
[53] Chang J.Privacy and Security Concerns in Online Health Services[J]. Applied Economics Letters, 2018, 25(19): 1351-1354.
[54] Maon S N, Hassan N M, Seman S A A. Online Health Information Seeking Behavior Pattern[J]. Advanced Science Letters, 2017, 23(11): 10582-10585.
[55] Hu X, Bell R A, Kravitz R L, et al.The Prepared Patient: Information Seeking of Online Support Group Members Before Their Medical Appointments[J]. Journal of Health Communication, 2012, 17(8): 960-978.
[56] Wicks P, Massagli M, Frost J, et al.Sharing Health Data for Better Outcomes on Patientslikeme[J]. Journal of Medical Internet Research, 2010, 12(2): e19.
[57] Arjadi R, Nauta M H, Scholte W F, et al.Internet-Based Behavioural Activation with Lay Counsellor Support Versus Online Minimal Psychoeducation Without Support for Treatment of Depression: A Randomised Controlled Trial in Indonesia[J]. Lancet Psychiatry, 2018, 5(9): 707-716.
[58] Bright P, Hambly K, Tamakloe S.What is the Profile of Individuals Joining the Kneeguru Online Health Community? A Cross-Sectional Mixed-Methods Study[J]. Journal of Medical Internet Research, 2016, 18(4): e84.
[59] Chen D H, Zhang R T, Liu K C, et al.Enhancing Online Patient Support Through Health-Care Knowledge in Online Health Communities: A Descriptive Study[J]. Information, 2018, 9(8): 199.
[60] Aarts J W M, Faber M J, Den Boogert A G, et al. Barriers and Facilitators for the Implementation of an Online Clinical Health Community in Addition to Usual Fertility Care: A Cross-Sectional Study[J]. Journal of Medical Internet Research, 2013, 15(8): e163.
[61] Haase R, Schultheiss T, Kempcke R, et al.Use and Acceptance of Electronic Communication by Patients with Multiple Sclerosis: A Multicenter Questionnaire Study[J]. Journal of Medical Internet Research, 2012, 14(5): e135.
[62] Chen A T.Exploring Online Support Spaces: Using Cluster Analysis to Examine Breast Cancer, Diabetes and Fibromyalgia Support Groups[J]. Patient Education and Counseling, 2012, 87(2): 250-257.
[63] Park A, Conway M, Chen A T. Examining Thematic Similarity, Difference, and Membership in Three Online Mental Health Communities from Reddit: A Text Mining and Visualization Approach[J]. Computers in Human Behavior, 2018, 78: 98-112.
[64] Nguyen T, O'dea B, Larsen M, et al.Using Linguistic and Topic Analysis to Classify Sub-Groups of Online Depression Communities[J]. Multimedia Tools and Applications, 2017, 76(8): 10653-10676.
[65] Jordan M I, Mitchell T M.Machine Learning: Trends, Perspectives, and Prospects[J]. Science, 2015, 349(6245): 255-260.
[66] Greaves F, Ramirez-Cano D, Millett C, et al.Use of Sentiment Analysis for Capturing Patient Experience from Free-Text Comments Posted Online[J]. Journal of Medical Internet Research, 2013, 15(11): e239.
[67] Wang Y C, Kraut R E, Levine J M.Eliciting and Receiving Online Support: Using Computer-Aided Content Analysis to Examine the Dynamics of Online Social Support[J]. Journal of Medical Internet Research, 2015, 17(4): e99.
[68] Bobicev V, Sokolova M, Oakes M.What Goes Around Comes Around: Learning Sentiments in Online Medical Forums[J]. Cognitive Computation, 2015, 7(5): 609-621.
[69] Kinsora A, Barron K, Mei Q, et al.Creating a Labeled Dataset for Medical Misinformation in Health Forums[C]// Proceedings of the 2017 IEEE International Conference on Healthcare Informatics. IEEE, 2017: 456-461.
[70] Johnston A C, Worrell J L, Gangi P M D, et al. Online Health Communities an Assessment of the Influence of Participation on Patient Empowerment Outcomes[J]. Information Technology & People, 2013, 26(2): 213-235.
[71] Wang X, Zhao K, Street N.Social Support and User Engagement in Online Health Communities[C]// Proceedings of the 2014 International Conference for Smart Health. Springer, 2014: 97-110.
[1] 杨海慈,王军. 宋代学术师承知识图谱的构建与可视化[J]. 数据分析与知识发现, 2019, 3(6): 109-116.
[2] 杨亚楠,赵文辉,张健,谭珅,张贝贝. 基于多视图协同的政策文本可视化研究*[J]. 数据分析与知识发现, 2019, 3(6): 30-41.
[3] 刘强,陈云伟,张志强. 用于科技评价的挪威模型方法与应用综述*[J]. 数据分析与知识发现, 2019, 3(5): 41-50.
[4] 吴志强,祝忠明,刘巍,王思丽. CSpace知识分析与可视化功能扩展研究与实践*[J]. 数据分析与知识发现, 2019, 3(3): 112-119.
[5] 陈挺,李国鹏,王小梅. 基于t-SNE降维的科学基金资助项目可视化方法研究*[J]. 数据分析与知识发现, 2018, 2(8): 1-9.
[6] 杨斯楠,徐健,叶萍萍. 网络评论情感可视化技术方法及工具研究*[J]. 数据分析与知识发现, 2018, 2(5): 77-87.
[7] 王丽,邹丽雪,刘细文. 基于LDA主题模型的文献关联分析及可视化研究[J]. 数据分析与知识发现, 2018, 2(3): 98-106.
[8] 何伟林,奉国和,谢红玲. 基于CSToT模型的科技文献主题发现与演化研究*[J]. 数据分析与知识发现, 2018, 2(11): 64-72.
[9] 曲佳彬,欧石燕. 基于主题过滤与主题关联的学科主题演化分析*[J]. 数据分析与知识发现, 2018, 2(1): 64-75.
[10] 张轩慧,赵宇翔. 国际公众科学领域演化路径与研究热点分析*[J]. 数据分析与知识发现, 2017, 1(7): 22-34.
[11] 杨超凡,邓仲华,彭鑫,刘斌. 近5年信息检索的研究热点与发展趋势综述*——基于相关会议论文的分析[J]. 数据分析与知识发现, 2017, 1(7): 35-43.
[12] 李飞,张健,王宗水. 社会化推荐研究进展与发展趋势演化*——基于文献计量和社会网络分析的视角[J]. 数据分析与知识发现, 2017, 1(6): 22-35.
[13] 谢秀芳,张晓林. 针对科技路线图的文本挖掘研究: 集成分析及可视化*[J]. 数据分析与知识发现, 2017, 1(1): 16-25.
[14] 王曰芬,靳嘉林. 比较分析《现代图书情报技术》近10年发文特征与发展趋势*[J]. 现代图书情报技术, 2016, 32(9): 1-16.
[15] 陈挺,王小梅,吕伟民. ng-info-chart: 基于自定义HTML标签的交互式可视化组件*[J]. 现代图书情报技术, 2016, 32(6): 88-95.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 2015 《数据分析与知识发现》编辑部
地址:北京市海淀区中关村北四环西路33号 邮编:100190
电话/传真:(010)82626611-6626,82624938
E-mail:jishu@mail.las.ac.cn