Influence Factors Research on Health Information Source Selection of Individuals Based on Grounded Theory

  • Zhang Xin ,
  • Wang Dan
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  • 1. College of Management, Hebei University, Baoding 071002;
    2. Information Center for Social Science, Renmin University of China, Beijing 100086

Received date: 2017-12-24

  Revised date: 2018-04-11

  Online published: 2018-07-20

Abstract

[Purpose/significance] To investigate and analyze the influencing factors of individuals' health information source selection, helps to provide targeted basis for the construction of medical health information resources in China. It also helps to provide efficient service for the public health information acquisition. [Method/process] This study applied grounded theory to analyze the interview texts of 38 individuals' health information source selection behavior, including four stages: open coding, axis coding, selective coding and theoretical model construction. [Result/conclusion] The results indicate that the influence factors of health information source selection of individuals are related to individual conditions-motivation factors, perceived quality factors, relationship and structure factors and information source operation level. Finally, a theoretical framework of influence factors of individual's health information source selection is constructed.

Cite this article

Zhang Xin , Wang Dan . Influence Factors Research on Health Information Source Selection of Individuals Based on Grounded Theory[J]. Library and Information Service, 2018 , 62(14) : 5 -13 . DOI: 10.13266/j.issn.0252-3116.2018.14.001

References

[1] KIM S. An exploratory study of inactive health information seekers[J]. International journal of medical informatics, 2015, 84(2):119-133.
[2] GENUIS SK. Constructing "sense" from evolving health information:a qualitative investigation of information seeking and sense making across sources[J]. Journal of the American Society for Information Science and Technology, 2012, 63(8):1553-1566.
[3] ZHANG Y. Beyond quality and accessibility:source selection in consumer health information searching[J].Journal of the American Society for Information Science, 2014, 65(5):911-927.
[4] KAMALI S, AHMADIAN L, KHAJOUEI R, et al. Health information needs of pregnant women:information sources, motives and barriers[J]. Health information & libraries journal, 2018, 35(1):24-37.
[5] TURNER A, KABASHI A, GUTHRIE H, et al. Use and value of information sources by parents of child psychiatric patients[J]. Health information & libraries journal, 2011, 28(2):101-109.
[6] GIVEN L M, WILLSON R, ALBRECHT L, et al. Information in crisis:health & technology-related information behaviors of parents in emergency departments[J]. Proceedings of the Association for Information Science & Technology, 2016, 53(1):1-10.
[7] ATKINSON N L, SAPERSTEIN S L, PLEIS J. Using the Internet for health-related activities:findings from a national probability sample[J]. Journal of medical Internet, 2009,11(1):e4
[8] WALKER L O, MACKERT M S, AHN J, et al. E-health and new moms:contextual factors associated with sources of health information[J]. Public health nursing, 2017, 34(6):561-568.
[9] 李颖, 杨伟娜, 李媛. 数字环境下城乡青年健康信息搜寻行为研究[J]. 图书情报工作, 2016, 60(12):115-123.
[10] 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 & Technology, 2017, 68(1):36-47.
[11] LIN T C, HWANG L L, LAI Y J. Effects of argument quality, source credibility and self-reported diabetes knowledge on message attitudes:an experiment using diabetes related messages[J]. Health information & libraries journal, 2017, 34(3):225-235.
[12] 吴江, 李姗姗. 在线健康社区用户信息服务使用意愿研究[J]. 情报科学, 2017(4):119-125.
[13] JOHNSON J D, MEISCHKE H. Women's preferences for cancer information from specific communication channels[J]. American behavioral scientist, 1991, 34(6):742-755.
[14] REIFEGERSTE D, BACHL M, BAUMANN E. Surrogate health information seeking in Europe:influence of source type and social network variables[J]. International journal of medical informatics, 2017,103:7-14.
[15] CHEN W, LEE K H, STRAUBHAAR J D, et al. Getting a second opinion:social capital, digital inequalities, and health information repertoires[J]. Journal of the Association for Information Science & Technology, 2014, 65(12):2552-2563.
[16] PANDIT N R. The creation of theory:a recent application of the grounded theory method[J]. Qualitative report, 1996(4):1-15.
[17] 闫慧,闫希敏. 农民数字化贫困自我归因分析及启示——来自皖甘津的田野调查[J]. 中国图书馆学报, 2014(5):68-81.
[18] STRAUSS A L,CORBIN J M. Basics of qualitative research:techniques and procedures for developing grounded theory[M]. Thousand Oaks:Sage Publications, 1998.
[19] LAYDER D. New strategies in social research:an introduction and guide[M]. Cambridge:Polity Press, 1993.
[20] NAHAPIET J,GHOSHAL S. Social capital, intellectual capital, and the organizational advantage[J]. Academy of management review,1998, 23(2):242-266.
[21] 于良芝. 整体性社会理论及其对信息不平等研究的适用性——以布迪厄的社会理论为例[J]. 上海高校图书情报工作研究, 2011(1):1-9.
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