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Academic Journal of Humanities & Social Sciences, 2020, 3(1); doi: 10.25236/AJHSS.2020.030112.

The impact of Internet medical information on personal medical behavior

Author(s)

Li Yang*, Chu Fuling

Corresponding Author:
Li Yang
Affiliation(s)

Central University of Finance and Economics, Beijing, China
*[email protected]; [email protected]

Abstract

With the rapid development of Internet medical care, related information has been spread and popularized, but the research of Internet medical information has received corresponding attention. Based on the CHNS survey data, this paper uses the propensity score matching method to study the impact of Internet medical information on individual medical behavior choices. The study found that Internet medical information has a significant impact on the choice of individual medical behavior. However, further research shows that Internet medical information has prompted people to actively prevent diseases and tend to rational diagnosis and treatment, but it also has a certain diversion of patients. It can be seen that in the construction of Internet medical care in China, we should continue to intensify efforts to build, break the barriers of knowledge and information on common diseases, promote the people to actively prevent and cure diseases, rationally seek medical treatment, and improve the health of residents from the source.

Keywords

Internet, Medical Information, Medical Behaviors, Propensity Score Matching, Treatment Effect

Cite This Paper

Li Yang, Chu Fuling. The impact of Internet medical information on personal medical behavior. Academic Journal of Humanities & Social Sciences (2020) Vol. 3, Issue 1: 104-122. https://doi.org/10.25236/AJHSS.2020.030112.

References

[1] Sutu Research Institute,2018 Q1 Internet Medical Market Research Report.
[2] Laroche M et al., How intangibility affects perceived risk: The moderating role of knowledge and involvement. Journal of Services Marketing, 2003, 17(2): p.122–140.
[3] KENKEL D., Consumer Health Information and the Demand for Medical Care. Review of Economics & Statistics,1990,72(4):p.587-595.
[4] Hill S E, et al.,The impact of perceived disease threat on women's desire for novel dating and sexualpartners: Is variety the best medicine?. Journal of Personality and Social Psychology, 2015, 109(2): p.244–261.
[5] Damali U, Miller J L, Fredendall L D, et al. ,Co-creating value using customer training and education in a healthcare service design. Journal of Operations Management, 2016, 47–48:p. 80–97.
[6] Liu Hong et al., The Role of Consumer Knowledge on Medical Care Demand in China' s Health Care Reform. Economic Research Journal, 2010(10):p.48-62.
[7] Wang Yong gui, et al., The Key Drivers of Customer Interactions and Their Effects on Customer Satisfaction: An Empirical Study in the Context of Virtual Brand Community.  Chinese Journal of management, 2013,(9): p.1375–1383.
[8] OSMAN L,ABDALLA M,BEATTIE J,et al.,Reducing Hospital Admission through Computer Supported Education for Asthma Patients.BMJ Clinical Research,1994,308(2):p.568-571.
[9] WAGNER T,HU T,HIBBARD J., The Demand for Consumer Health Information. Journal of Health Economics,2001,20(6):p.1059-1075.
[10] Nambisan S, Baron R A., Virtual customer environments: Testing a model of voluntary participation in value co-creation activities. The Journal of Product Innovation Management, 2009, 26(4): p.388–406.
[11] Sweeney J C, Danaher T S, Mccoll-Kennedy J R. Customer effort in value cocreation activities: Improving quality of life and behavioral intentions of health care customers. Journal of Service Research, 2015, 18(3): p.318–335.
[12] Wang Yong gui, et al., How Do Mobile Medical Apps Promote Offline Healthcare Management Activities Availably?. Foreign Economics& Management, 2018 (2):p.138-152.
[13] Tu H T . ,Surprising decline in consumers seeking health information. Tracking Report, 2011(26):p.1.
[14] Apostolakis I , Koulierakis G , Berler A , et al., Use of social media by healthcare professionals in Greece: an exploratory study. International Journal of Electronic Healthcare, 2012, 7(2):p.105.
[15] Scanfeld D , Scanfeld V , Larson E L . Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control, 2010, 38(3):p.1-188.
[16] JA Koziol,BL Zuraw,SC Christiansen.,Health care consumption among elderly patients in california: a comprehensive 10-year evaluation of trends in hospitalization rates and charges.Gerontologist,2002,42(2):p.207-216.
[17] D Card,C Dobkin,N Maestas.,The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare.American Economic Review ,2008 (5) :p.2242-2258.
[18] Gertler P,Gruber J.Insuring Consumption against Illness.American Economic Review,2002,92:p.51-76.
[19] Yao Yao ,et al., Medical Insurance,Household Registration System and Healthcare Utilization—Evidences from CHARLS Data Analysis .INSURANCE STUDIES ,2014 (6) :p.105-116.
[20] C Schoen,R Osborn. ,et al., How Health Insurance Design Affects Access To Care And Costs, By Income. In Eleven Countries.Chinese Journal of Health Policy, 201029(12):p.2323-2334.
[21] Sun Meng jie et al., Individuals’First Health Care Choice in Rural China:Empirical Study Based on the Survey of Gansu,Henan and Guangdong Province .ECONOMIC REVIEW,2013(2):p.40-50.
[22] ANDERSEN R M,DAVIDSON P L,BAUMEISTER S E.,Improving access to care in America. Kominski G F.Changing the U.S.Health care system:key issues in health service, policy, and management.4th edition.San Francisco,CA:Jossey—Bass.2013:p.33—69.