在线健康社区用户诊疗信息求助行为形成机理的概念模型——基于扎根理论的探索性研究
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摘要
【目的/意义】探究在线健康社区用户诊疗信息求助行为形成机理的概念模型,为在线健康社区的设计者、运营者和管理者的服务创新提供可供参考的意见和建议。【方法/过程】以"好大夫在线"、"寻医问药网"、"39健康网"等在线健康社区的用户群体为研究样本,采用"情境实验+焦点小组+深度访谈"的研究方法收集原始资料,并运用扎根理论提炼出在线健康社区环境下用户诊疗信息求助行为形成机理的概念模型。【结果/结论】研究结果表明,由诊疗收益和成本收益组成的求助收益因素在用户求助行为的形成中起到了驱动性的作用,由诊疗风险和安全风险组成的求助风险因素起阻碍性的作用,由信息质量、平台质量和服务质量组成的在线健康社区因素起支持性的作用,由行为能力、性格、健康状况和资源条件等组成的求助者个体因素起调节性的作用。
【Purpose/significance】This article explores the conceptual model of the formation mechanism of users' online medical information help-seeking behavior in Online Health Community, so as to offer suggestions for online health community designers, operators and managers to provide innovative service.【Method/process】Users of Online Health Communities, such as "good doctor online", "seek medical advice network" and "39 health net", are selected as research samples.Firstly, we used the "situational experiment", "focus group interview" and "depth interview" to gather original materials.Then the grounded theory was used to construct the conceptual model of the formation mechanism of users' online medical information help-seeking behavior in Online Health Community.【Result/conclusion】The result indicates that the helpseeking benefit factors, which consist of medical income and cost benefits play a driving role. The help-seeking risk factors consisting of the medical risk and security risk play an inhibitory role. The Online Health Community factors consisting of information quality, platform quality, and service quality play a supporting role. The individual factors of the help-seeker,consisting of ability, personality, health status, and resource conditions, play a regulatory role.
【Purpose/significance】This article explores the conceptual model of the formation mechanism of users' online medical information help-seeking behavior in Online Health Community, so as to offer suggestions for online health community designers, operators and managers to provide innovative service.【Method/process】Users of Online Health Communities, such as "good doctor online", "seek medical advice network" and "39 health net", are selected as research samples.Firstly, we used the "situational experiment", "focus group interview" and "depth interview" to gather original materials.Then the grounded theory was used to construct the conceptual model of the formation mechanism of users' online medical information help-seeking behavior in Online Health Community.【Result/conclusion】The result indicates that the helpseeking benefit factors, which consist of medical income and cost benefits play a driving role. The help-seeking risk factors consisting of the medical risk and security risk play an inhibitory role. The Online Health Community factors consisting of information quality, platform quality, and service quality play a supporting role. The individual factors of the help-seeker,consisting of ability, personality, health status, and resource conditions, play a regulatory role.
引文
1 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.
2 Ybarra M L, Suman M. Help seeking behavior and the Internet:a national survey[J]. International Journal of Medical Informatics, 2006, 75(1):29-41.
3 Clement S, Schauman O, Graham T, et al. What is the impact of mental health-related stigma on helpseeking? A systematic review of quantitative and qualitative studies[J].Psychological Medicine, 2015, 45(1):11-27.
4 毛畅果,孙健敏.组织中的求助行为[J].心理科学进展,2011, 19(5):731-739.
5 Jaafar N I, Ainin S, Yeong M W. Why bother about health? A study on the factors that influence health information seeking behaviour among Malaysian healthcare consumers[J].International Journal of Medical Informatics, 2017, 104(8):38-44.
6 Chen L, Rai A, Guo X. Physicians’Online Popularity and Price Premiums for Online Health Consultations:A Combined Signaling Theory and Online Feedback Mechanisms Explanation[C]. Fort Worth:Thirty Sixth International Conference on Information Systems,2015.
7 邓胜利,管弦.基于问答平台的用户健康信息获取意愿影响因素研究[J].情报科学, 2016, 34(11):53-59.
8 Rice R E. Influences, usage, and outcomes of Internet health information searching:multivariate results from the Pew surveys[J].International Journal of Medical Informatics, 2006, 75(1):8-28.
9 Hwang E H, Guo X, Tan Y, et al. Rebalancing Geographic Healthcare Disparity through Telemedicine Consultation[EB/OL].https://papers.ssrn.com/sol3/p apers.cfm?abstract_id=2988340,2017-12-31.
10 Kim H, Paige P M, Bhuyan S S, et al. Seeking Medical Information Using Mobile Apps and the Internet:Are Family Caregivers Different from the General Public?[J].Journal of Medical Systems, 2017, 41(3):11-18.
11 Glazer B G, Strauss A. The Discovery of Grounded Theory:Strategies for Qualitative Research[M].Chicago:Aldine Publishing Company, 1967:10-30.
12 诺曼.K.邓津.定性研究.经验资料收集与分析的方法[M].重庆:重庆大学出版社, 2007.
13 孙晓娥.扎根理论在深度访谈研究中的实例探析[J].西安交通大学学报(社会科学版), 2011, 31(6):87-92.
14 Mccallin A M. Designing a grounded theory study:some practicalities[J]. Nursing in Critical Care, 2003, 8(5):203-208.
15 Strauss A. Qualitative analysis for social scientists[M].Cambridge:Cambridge University Press, 1987.
16 艾瑞咨询.2016年中国网民健康力提升报告[EB/OL].http://www.iresearch.com.cn/Detail/report?id=2561&isfree=0,2016-03-08.
17 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.
18 Yang W L, Kahn B K, Kahn B K, et al. AIMQ:a methodology for information quality assessment[J]. Information&Management, 2002, 40(2):133-146.
19 张星,陈星,侯德林,等.在线健康信息披露意愿的影响因素研究:一个集成计划行为理论与隐私计算的模型[J].情报资料工作, 2016, 37(1):48-53.
20 Mou J, Shin D H, Cohen J. Health beliefs and the valence framework in health information seeking behaviors[J].Information Technology&People, 2016, 29(4):876-900.
21 叶存辉.在线医疗平台医师受访量影响因素分析[D].北京:北京外国语大学, 2017.
22 Deng Z, Liu S, Hinz O. The health information seeking and usage behavior intention of Chinese consumers through mobile phones[J].Information Technology&People, 2015,28(2):405-423.
23 Grasso K L, Bell R A. Understanding Health Information Seeking:A Test of the Risk Perception Attitude Framework[J].Journal of Health Communication, 2015, 20(12):1406-1414.
24 Kim Y M. Is seeking health information online different from seeking general information online?[J].Journal of Information Science, 2015, 41(2):45-48.
2 Ybarra M L, Suman M. Help seeking behavior and the Internet:a national survey[J]. International Journal of Medical Informatics, 2006, 75(1):29-41.
3 Clement S, Schauman O, Graham T, et al. What is the impact of mental health-related stigma on helpseeking? A systematic review of quantitative and qualitative studies[J].Psychological Medicine, 2015, 45(1):11-27.
4 毛畅果,孙健敏.组织中的求助行为[J].心理科学进展,2011, 19(5):731-739.
5 Jaafar N I, Ainin S, Yeong M W. Why bother about health? A study on the factors that influence health information seeking behaviour among Malaysian healthcare consumers[J].International Journal of Medical Informatics, 2017, 104(8):38-44.
6 Chen L, Rai A, Guo X. Physicians’Online Popularity and Price Premiums for Online Health Consultations:A Combined Signaling Theory and Online Feedback Mechanisms Explanation[C]. Fort Worth:Thirty Sixth International Conference on Information Systems,2015.
7 邓胜利,管弦.基于问答平台的用户健康信息获取意愿影响因素研究[J].情报科学, 2016, 34(11):53-59.
8 Rice R E. Influences, usage, and outcomes of Internet health information searching:multivariate results from the Pew surveys[J].International Journal of Medical Informatics, 2006, 75(1):8-28.
9 Hwang E H, Guo X, Tan Y, et al. Rebalancing Geographic Healthcare Disparity through Telemedicine Consultation[EB/OL].https://papers.ssrn.com/sol3/p apers.cfm?abstract_id=2988340,2017-12-31.
10 Kim H, Paige P M, Bhuyan S S, et al. Seeking Medical Information Using Mobile Apps and the Internet:Are Family Caregivers Different from the General Public?[J].Journal of Medical Systems, 2017, 41(3):11-18.
11 Glazer B G, Strauss A. The Discovery of Grounded Theory:Strategies for Qualitative Research[M].Chicago:Aldine Publishing Company, 1967:10-30.
12 诺曼.K.邓津.定性研究.经验资料收集与分析的方法[M].重庆:重庆大学出版社, 2007.
13 孙晓娥.扎根理论在深度访谈研究中的实例探析[J].西安交通大学学报(社会科学版), 2011, 31(6):87-92.
14 Mccallin A M. Designing a grounded theory study:some practicalities[J]. Nursing in Critical Care, 2003, 8(5):203-208.
15 Strauss A. Qualitative analysis for social scientists[M].Cambridge:Cambridge University Press, 1987.
16 艾瑞咨询.2016年中国网民健康力提升报告[EB/OL].http://www.iresearch.com.cn/Detail/report?id=2561&isfree=0,2016-03-08.
17 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.
18 Yang W L, Kahn B K, Kahn B K, et al. AIMQ:a methodology for information quality assessment[J]. Information&Management, 2002, 40(2):133-146.
19 张星,陈星,侯德林,等.在线健康信息披露意愿的影响因素研究:一个集成计划行为理论与隐私计算的模型[J].情报资料工作, 2016, 37(1):48-53.
20 Mou J, Shin D H, Cohen J. Health beliefs and the valence framework in health information seeking behaviors[J].Information Technology&People, 2016, 29(4):876-900.
21 叶存辉.在线医疗平台医师受访量影响因素分析[D].北京:北京外国语大学, 2017.
22 Deng Z, Liu S, Hinz O. The health information seeking and usage behavior intention of Chinese consumers through mobile phones[J].Information Technology&People, 2015,28(2):405-423.
23 Grasso K L, Bell R A. Understanding Health Information Seeking:A Test of the Risk Perception Attitude Framework[J].Journal of Health Communication, 2015, 20(12):1406-1414.
24 Kim Y M. Is seeking health information online different from seeking general information online?[J].Journal of Information Science, 2015, 41(2):45-48.