公众网络健康信息搜寻对线下就医行为的影响因素研究

doi:10.13998/j.cnki.issn1002-1248.23-0461

摘要/Abstract

摘要： [目的/意义]分析公众网络健康信息搜寻特征,并探索公众网络健康信息搜寻对线下就医行为的影响因素。[方法/过程]基于S-O-R理论,提出相关假设并构造公众网络健康信息搜寻与线下就医行为的关联模型。以在校大学生为主要研究对象,采用SPSS25.0软件对收集到的204份有效问卷进行信效度分析、相关性分析和因子分析,采用Amos25.0软件构建结构方程模型进行假设验证并利用Bootstrap方法对中介效应进行检验。[结果/结论]研究发现：1)公众网络健康信息搜寻显著影响线下就医行为;2)公众网络健康信息搜寻显著影响风险感知;3)躯体警觉显著影响线下就医行为;4)风险感知、躯体警觉在公众网络健康信息搜寻与线下就医行为间存在中介作用。

关键词: 公众网络健康信息搜寻, 线下就医行为, 影响因素, 结构方程模型

Abstract: [Purpose/Significance] At present, studies on online health information search at home and abroad mainly focus on the analysis of influencing factors of online health information search, the analysis of characteristics of online health information search, and the analysis of the action path between online health information search and health anxiety, etc. Few scholars focus their research objects and perspectives on offline medical treatment behavior. Moreover, there is insufficient research on the effects and mechanism of online health information search on offline medical treatment behavior. This paper aims to analyze the characteristics of public online health information search and explore the factors that affect public online health information search on offline medical care seeking behavior. [Method/Process] Based on the S-O-R theory, this paper proposed relevant hypotheses and constructed a correlation model between online health information search and offline medical care seeking behavior. Taking college students as the main research object, based on the maturity scale of domestic and foreign authorities, four variables of online health information search, risk perception, physical alertness and offline medical treatment behavior and 13 operable observation variables were designed. SPSS25.0 software was used to conduct reliability and validity analysis, correlation analysis and factor analysis of 204 valid questionnaires collected. Amos25.0 software was used to construct a structural equation model to verify the hypothesis and the Bootstrap method was used to test the mediation effect. [Results/Conclusions] The research findings: 1) public online health information search significantly affects offline medical seeking behavior; 2) public online health information search significantly affects risk perception; 3) public physical alertness significantly affects offline medical care seeking behavior; 4) risk perception and body alertness mediate between public online health information search and offline medical care seeking behavior. Based on the study conclusions and the results of interviews with some surveyors, two suggestions have been put forward. On the one hand, it is necessary to collect online resources, drive offline traffic, and help the growth of the offline medical market. On the other hand, it is necessary to build a health index, establish a nationally unified and credible evaluation index system for the health of urban residents, index evaluation of residents' health status, and predict disease manifestations. Most of the subjects in this study are college students, and the questionnaire distribution scope is limited, so the research results are not representative enough. Additionally, the scope of the research object will be further expanded to include the middle-aged and senior subjects to enhance the persuasiveness of the research conclusions.

Key words: public online health information search, offline medical treatment behavior, influencing factors, structural equation model

中图分类号:

R-05

吴祎玮, 文庭孝. 公众网络健康信息搜寻对线下就医行为的影响因素研究[J]. 农业图书情报学报, 2023, 35(8): 30-42.

WU Yiwei, WEN Tingxiao. Effects of Public Online Health Information Search on Offline Medical Care Seeking Behavior[J]. Journal of Library and Information Science in Agriculture, 2023, 35(8): 30-42.

参考文献

[1] 中华人民共和国中央人民政府. 中共中央国务院印发《“健康中国 2030”规划纲要》[EB/OL].[2021-07-18]. http://www.gov.cn/xinwen/2016-10/25/content_5124174.htm.
[2] 中国互联网络信息中心. CNNIC发布第50次《中国互联网络发展状况统计报告》[EB/OL].[2022-08-31]. http://cnnic.cn/n4/2022/0916/c38-10594.html.
[3] 科普中国. 中国网民科普需求搜索行为报告[EB/OL].[2019-12-09].https://www.kepuchina.cn/notice/ss/201912/P020191209515357456417.pdf.
[4] 韩景倜, 樊卫国, 罗晓兰, 等. 用户健康信息搜寻行为对健康行为影响的研究进展[J]. 情报资料工作, 2018(2): 48-55.
HAN J T, FAN W G, LUO X L, et al.Research progress on the effect of user health information search on health behavior[J]. Information and documentation services, 2018(2): 48-55.
[5] 朱益平, 朱怡, 张诚. 情感体验维度下在线健康社区用户参与行为影响因素研究[J]. 农业图书情报学报, 2022, 34(10): 15-18.
ZHU Y P, ZHU Y, ZHANG C.Influencing factors of user participation behavior in online health community under the dimension of emotional experience[J]. Journal of library and information science in agriculture, 2022, 34(10): 15-18.
[6] 魏萌萌, 魏进. 国外网络健康信息搜寻行为研究及其对我国的启示[J]. 医学信息学杂志, 2014, 35(3): 12-16.
WEI M M, WEI J.Overseas studies on network health information seeking behavior as well as the inspirations to China[J]. Journal of medical informatics, 2014, 35(3): 12-16.
[7] 王国凯. 基于模糊DANP的公共图书馆健康信息服务质量影响因素识别研究[J]. 农业图书情报学报, 2022, 34(10): 33-43.
WANG G K.Identification of influencing factors of health information service quality in public libraries based on Fuzzy DANP[J]. Journal of library and information science in agriculture, 2022, 34(10): 33-43.
[8] WILSON T D.Information behaviour: An interdisciplinary perspective[J]. Information processing and management: An international journal, 1997, 33(4): 551-572.
[9] 张悦, 张云秋. 基于认知风格的网络健康信息搜索行为研究[J]. 情报理论与实践, 2017, 40(7): 103-107.
ZHANG Y, ZHANG Y Q.Research on the online health information search behavior based on cognitive style[J]. Information studies: Theory & application, 2017, 40(7): 103-107.
[10] LAGOE C, ATKIN D.Health anxiety in the digital age: An exploration of psychological determinants of online health information seeking[J]. Computers in human behavior, 2015, 52: 484-491.
[11] 孟博, 刘茂, 李清水, 等. 风险感知理论模型及影响因子分析[J]. 中国安全科学学报, 2010, 20(10): 59-66.
MENG B, LIU M, LI Q S, et al.Theoretical model for risk perception and its factor analysis[J]. China safety science journal, 2010, 20(10): 59-66.
[12] 裴旭燕, 王硕, 景钟颖, 等. 突发公共卫生事件下风险感知理论模型综述[J]. 保健医学研究与实践, 2021, 18(4): 7-13.
PEI X Y, WANG S, JING Z Y, et al.A review of theoretical models of risk perception under public health emergencies[J]. Health medicine research and practice, 2021, 18(4): 7-13.
[13] 赵蕊菡, 陈一. 基于扎根理论的网络健康信息多维度风险感知理论模型研究[J]. 情报理论与实践, 2020, 43(1): 68-75.
ZHAO R H, CHEN Y.Theoretical model of the multi-dimensional risk perception of online health information based on grounded theory[J]. Information studies: Theory & application, 2020, 43(1): 68-75.
[14] FISCHHOFF B, SLOVIC P, LICHTENSTEIN S, et al.How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits[J]. Policy sciences, 1978, 9(2): 127-152.
[15] OLATUNJI B O, DEACON B J, ABRAMOWITZ J S, et al.Body vigilance in non-clinical and anxiety disorder samples: Structure, correlates, and prediction of health concerns[J]. Behavior therapy, 2007, 38(4): 392-401.
[16] SCHMIDT N B, LEREW D R, TRAKOWSKI J H.Body vigilance in panic disorder: Evaluating attention to bodily perturbations[J]. Journal of consulting and clinical psychology, 1997, 65(2): 214-220.
[17] 钱洁, 任致群, 于德华, 等. 患者健康问卷躯体症状群量表在综合医院的筛检价值[J]. 中国心理卫生杂志, 2014, 28(3): 173-178.
QIAN J, REN Z Q, YU D H, et al.The value of the Patient Health Questionnaire-15(PHQ-15) for screening somatic symptoms in general hospital[J]. Chinese mental health journal, 2014, 28(3): 173-178.
[18] 刘红思, 刘裕儒, 沈丽宁. 新冠肺炎疫情期间大学生网络健康信息搜寻行为影响因素[J]. 中华医学图书情报杂志, 2021, 30(2): 65-74.
LIU H S, LIU Y R, SHEN L N.Factors influencing Internet health in-formation seeking behaviors of undergraduates during COVID-19in-fection pneumonia epidemic[J]. Chinese journal of medical library and information science, 2021, 30(2): 65-74.
[19] 彭彦妮. 网络健康信息与门诊患者健康焦虑关系研究[D]. 大连: 大连医科大学, 2012.
PENG Y N.Relationship between online health information search-ing and health anxiety in outpatient[D]. Dalian: Dalian Medical University, 2012.
[20] MEHRABIAN A, RUSSELL J A.An approach to environmental psychology[M]. Cambridge: M.I.T. Press, 1974.
[21] 徐孝娟, 赵宇翔, 史如菊, 等. SOR理论在国内图书情报学领域的采纳:溯源、应用及未来展望[J]. 情报资料工作, 2022, 43(5): 98-105.
XU X J, ZHAO Y X, SHI R J, et al.The adoption of SOR theory in the field of library and information science in China: Traceability, application and future prospects[J]. Information and documentation services, 2022, 43(5): 98-105.
[22] SONG S J, YAO X L, WEN N N.What motivates Chinese consumers to avoid information about the COVID-19 pandemic? The perspec-tive of the stimulus-organism-response model[J]. Information pro-cessing & management, 2021, 58(1): 102407.
[23] 吴智兰. 融合SOR理论的网络健康信息搜寻行为路径模型构建[J]. 图书情报导刊, 2019, 4(7): 32-39.
WU Z L.Construction of online health information searching be-havior path model based on SOR theory[J]. Journal of library and information science, 2019, 4(7): 32-39.
[24] 赵蕊菡. 感知风险视角下网络健康信息利用行为研究进展[J]. 信息资源管理学报, 2018, 8(2): 87-96, 103.
ZHAO R H.A review of online health information use behavior: From a perceived risk perspective[J]. Journal of information resources management, 2018, 8(2): 87-96, 103.
[25] 赵雅婷. 网络健康信息搜寻对健康焦虑的影响——健康状态的中介效应与不确定性忍受的调节效应[D]. 武汉: 武汉大学, 2020.
ZHAO Y T.The influence of Internet health information seeking behavior on health anxiety[D]. Wuhan: Wuhan University, 2020.
[26] 汪明艳, 周成阳, 林国英. 网络健康信息搜寻行为影响研究综述[J]. 知识管理论坛, 2021, 6(3): 158-166.
WANG M Y, ZHOU C Y, LIN G Y.Review on the influence of Internet health information search behavior[J]. Knowledge management forum, 2021, 6(3): 158-166.
[27] 唐绍禹. 城镇居民就医行为的影响因素研究[D]. 成都: 西南财经大学, 2014.
TANG S Y.The research on medical behavior and impact factors of urban residents[D]. Chengdu: Southwestern University of Finance and Economics, 2014.
[28] 罗晓兰. 网络健康信息搜索对健康焦虑的影响机制研究——搜索后认知与行为的中介作用[D]. 上海: 上海财经大学, 2019.
LUO X L.Study on the influence mechanism of Internet health infor-mation search on health anxiety - The mediating role of post-search cognition and behavior[D]. Shanghai: Shanghai University of Finance and Economics, 2019.
[29] KROENKE K, SPITZER R L, WILLIAMS J B W. The PHQ-15: Validity of a new measure for evaluating the severity of somatic symptoms[J]. Psychosomatic medicine, 2002, 64(2): 258-266.
[30] 刘旷. 阿里健康、平安好医生、微医们纷纷扛起抗疫大旗[J]. 大数据时代, 2020(2): 60-65.
LIU K.Ali health, Ping An good doctor and micro doctors have taken up the banner of anti-epidemic[J]. Big data time, 2020(2): 60-65.
[31] 动脉网. 中国消化道疾病检查白皮书: 消化道疾病呈现年轻化趋势特征[EB/OL].[2019-01-30].https://www.jiemian.com/article/2837458.html.
[32] ROWLANDS I J, LOXTON D, DOBSON A, et al.Seeking health information online: Association with young Australian women's physical, mental, and reproductive health[J]. Journal of medical Internet research, 2015, 17(5): e120.
[33] 曾子明, 郑安安. 中国大学MOOC平台学习者持续使用意愿影响因素研究[J]. 中国教育信息化, 2019(16): 28-33.
ZENG Z M, ZHENG A A.Study on influencing factors of learners' willingness to use MOOC platform in China university[J]. The Chinese journal of ICT in education, 2019(16): 28-33.
[34] 王永贵, 赵宏文, 马双. 移动医疗APP如何有效促进线下健康管理活动?[J]. 外国经济与管理, 2018, 40(2): 138-152.
WANG Y G, ZHAO H W, MA S.How do mobile medical apps promote offline healthcare management activities availably?[J]. Foreign economics & management, 2018, 40(2): 138-152.
[35] 陈家和, 马锦炉, 张育玮. 互联网医疗下患者持续线上咨询和线下就诊意愿影响因素研究[J]. 中国全科医学, 2020, 23(25): 3164-3169.
CHEN J H, MA J L, ZHANG Y W.An investigation of factors affecting patients' intention of online continuous consultation and offline visiting in eHealth[J]. Chinese general practice, 2020, 23(25): 3164-3169.
[36] HARRIS R, NOBLE C, LOWERS V.Does information form matter when giving tailored risk information to patients in clinical settings? A review of patients' preferences and responses[J]. Patient preference and adherence, 2017, 11: 389-400.
[37] 搜狐网. 春雨医生开线下医院,移动医疗如何落地生根?[EB/OL].[2016-09-17].https://www.sohu.com/a/114474426_116105.
[38] 施婕, 田祥, 王雅倩, 等. 健康指数构建的统计分析流程及实现[J]. 中华疾病控制杂志, 2022, 26(10): 1161-1166, 1173.
SHI J, TIAN X, WANG Y Q, et al.Statistical analysis process of health index construction and its implementation[J]. Chinese journal of disease control & prevention, 2022, 26(10): 1161-1166, 1173.