Research on patients' willingness to conduct online health consultation from the perspective of web trust model.

Yongxun Xu, Zishuo Yang, Hongyan Jiang, Peizhen Sun
Author Information
  1. Yongxun Xu: School of Business and Management, Jilin University, Changchun, China.
  2. Zishuo Yang: School of Education Science, Jiangsu Normal University, Xuzhou, China.
  3. Hongyan Jiang: School of Economics and Management, China University of Mining and Technology, Xuzhou, China.
  4. Peizhen Sun: School of Education Science, Jiangsu Normal University, Xuzhou, China.

Abstract

Background and aims: The online health platform becomes an important choice for users to receive health services. While bringing convenience to users, it also provides lots of overloaded information for users and leads them to have trouble in making online medical choice decisions. In order to understand what types of information on the online health platform play key roles in the user's decision choice, this research explores the effects of cognition-based information, affect-based information and institution-based information on patients' willingness to conduct online health consultation from the perspective of Web Trust Model.
Methods: Responses of 412 valid questionnaires were collected online surveys.
Results: The results showed that: (1) cognition-based information, affect-based information and institution-based information positively predict patients' willingness to conduct online health consultation; (2) online trust significantly mediates the relationship between online health platform information and willingness to conduct online health consultation; (3) health consciousness significantly moderates the mediating effect of online trust in the effect of online health platform information on patients' willingness to conduct online health consultation.
Conclusions: The findings make theoretical contributions by extending the Web Trust Model to the research field of online health service and offers practical implications for how to effectively provide information on the online health platform.

Keywords

References

  1. J Med Internet Res. 2019 Mar 08;21(3):e10170 [PMID: 30848726]
  2. J Biomed Inform. 2021 May;117:103727 [PMID: 33713854]
  3. Health Educ Behav. 2019 Dec;46(6):991-1000 [PMID: 31257921]
  4. Technol Soc. 2021 Feb;64:101510 [PMID: 36033357]
  5. J Clin Diagn Res. 2017 Feb;11(2):ZI01-ZI04 [PMID: 28384991]
  6. J Med Internet Res. 2021 Apr 15;23(4):e25817 [PMID: 33729985]
  7. J Gen Intern Med. 2000 Jul;15(7):509-13 [PMID: 10940139]
  8. Front Public Health. 2019 Oct 04;7:286 [PMID: 31637229]
  9. J Law Med Ethics. 2012 Summer;40(2):251-67 [PMID: 22789044]
  10. Am J Emerg Med. 2022 Mar;53:266-268 [PMID: 33965280]
  11. Inf Syst Front. 2022;24(3):983-1007 [PMID: 33688300]
  12. Patient Educ Couns. 2019 Nov;102(11):2031-2037 [PMID: 31257098]
  13. Health Commun. 2019 Nov;34(13):1645-1652 [PMID: 30239224]
  14. Am J Prev Med. 1990 Jul-Aug;6(4):228-37 [PMID: 2223170]

MeSH Term

Decision Making
Humans
Referral and Consultation
Surveys and Questionnaires
Trust

Word Cloud

Created with Highcharts 10.0.0onlinehealthinformationwillingnessconductconsultationplatformpatients'trustchoiceuserscognition-basedaffect-basedinstitution-basedresearchperspectiveWebTrustModelsignificantlyconsciousnesseffectBackgroundaims:becomesimportantreceiveservicesbringingconveniencealsoprovideslotsoverloadedleadstroublemakingmedicaldecisionsorderunderstandtypesplaykeyrolesuser'sdecisionexploreseffectsMethods:Responses412validquestionnairescollectedsurveysResults:resultsshowedthat:1positivelypredict2mediatesrelationship3moderatesmediatingConclusions:findingsmaketheoreticalcontributionsextendingfieldserviceofferspracticalimplicationseffectivelyprovideResearchwebmodel

Similar Articles

Cited By