Integrating health belief model and technology acceptance model: an investigation of health-related internet use.

Ashraf Sadat Ahadzadeh, Saeed Pahlevan Sharif, Fon Sim Ong, Kok Wei Khong
Author Information
  1. Ashraf Sadat Ahadzadeh: Universiti Putra Malaysia, Faculty of Modern Languages and Communication, Kuala Lumpur, Malaysia. ahadzadeh1980@gmail.com. ORCID

Abstract

BACKGROUND: Today, people use the Internet to satisfy health-related information and communication needs. In Malaysia, Internet use for health management has become increasingly significant due to the increase in the incidence of chronic diseases, in particular among urban women and their desire to stay healthy. Past studies adopted the Technology Acceptance Model (TAM) and Health Belief Model (HBM) independently to explain Internet use for health-related purposes. Although both the TAM and HBM have their own merits, independently they lack the ability to explain the cognition and the related mechanism in which individuals use the Internet for health purposes.
OBJECTIVE: This study aimed to examine the influence of perceived health risk and health consciousness on health-related Internet use based on the HBM. Drawing on the TAM, it also tested the mediating effects of perceived usefulness of the Internet for health information and attitude toward Internet use for health purposes for the relationship between health-related factors, namely perceived health risk and health consciousness on health-related Internet use.
METHODS: Data obtained for the current study were collected using purposive sampling; the sample consisted of women in Malaysia who had Internet access. The partial least squares structural equation modeling method was used to test the research hypotheses developed.
RESULTS: Perceived health risk (β=.135, t1999=2.676) and health consciousness (β=.447, t1999=9.168) had a positive influence on health-related Internet use. Moreover, perceived usefulness of the Internet and attitude toward Internet use for health-related purposes partially mediated the influence of health consciousness on health-related Internet use (β=.025, t1999=3.234), whereas the effect of perceived health risk on health-related Internet use was fully mediated by perceived usefulness of the Internet and attitude (β=.029, t1999=3.609). These results suggest the central role of perceived usefulness of the Internet and attitude toward Internet use for health purposes for women who were health conscious and who perceived their health to be at risk.
CONCLUSIONS: The integrated model proposed and tested in this study shows that the HBM, when combined with the TAM, is able to predict Internet use for health purposes. For women who subjectively evaluate their health as vulnerable to diseases and are concerned about their health, cognition beliefs in and positive affective feelings about the Internet come into play in determining the use of health-related Internet use. Furthermore, this study shows that engaging in health-related Internet use is a proactive behavior rather than a reactive behavior, suggesting that TAM dimensions have a significant mediating role in Internet health management.

Keywords

References

  1. Health Commun. 2008;23(1):70-9 [PMID: 18443994]
  2. Soc Sci Med. 2004 Nov;59(9):1795-806 [PMID: 15312915]
  3. J Appl Gerontol. 2014 Apr;33(3):316-35 [PMID: 24717738]
  4. Am J Prev Med. 1990 Jul-Aug;6(4):228-37 [PMID: 2223170]
  5. J Med Internet Res. 2012;14(5):e133 [PMID: 23026508]
  6. Support Care Cancer. 2014 Feb;22(2):545-52 [PMID: 24122406]
  7. Health Commun. 2004;16(3):273-88 [PMID: 15265751]
  8. Int J Public Health. 2007;52(5):275-85 [PMID: 18030943]
  9. J Clin Nurs. 2010 Oct;19(19-20):2860-8 [PMID: 20598000]
  10. Multivariate Behav Res. 2004 Jan 1;39(1):99 [PMID: 20157642]
  11. J Adolesc Health. 2006 Jan;38(1):18-25 [PMID: 16387244]
  12. Med Decis Making. 2010 Sep-Oct;30(5 Suppl):96S-105S [PMID: 20881158]
  13. Int J Environ Res Public Health. 2013 Jun;10(6):2133-49 [PMID: 23712317]
  14. J Med Internet Res. 2009;11(1):e4 [PMID: 19275980]
  15. Appetite. 2011 Aug;57(1):253-62 [PMID: 21609743]
  16. Health Care Women Int. 2003 Dec;24(10):940-51 [PMID: 14742131]
  17. J Med Internet Res. 2011;13(2):e33 [PMID: 21752784]
  18. J Am Coll Health. 2010;59(1):29-36 [PMID: 20670926]
  19. Health Commun. 2006;19(1):11-8 [PMID: 16519588]
  20. J Health Commun. 2002 Jul-Sep;7(4):325-40 [PMID: 12356290]
  21. Med J Malaysia. 2011 Mar;66(1):36-41 [PMID: 23765141]
  22. Int J Med Inform. 2011 Dec;80(12):e189-202 [PMID: 21956003]
  23. Int J Med Inform. 2004 Mar 31;73(3):217-27 [PMID: 15066550]
  24. Health Psychol. 1997 Sep;16(5):468-79 [PMID: 9302544]
  25. Health (London). 2007 Jul;11(3):327-47 [PMID: 17606698]
  26. Health Educ Q. 1992 Winter;19(4):447-62 [PMID: 1452446]
  27. J Med Internet Res. 2004 May 28;6(2):e15 [PMID: 15249264]
  28. Health Commun. 2007;22(2):181-9 [PMID: 17668997]
  29. Environ Health. 2011;10:46 [PMID: 21600004]
  30. J Pers Soc Psychol. 1986 Dec;51(6):1173-82 [PMID: 3806354]
  31. Health Educ Res. 2001 Dec;16(6):671-92 [PMID: 11780707]

MeSH Term

Adult
Attitude to Health
Biomedical Technology
Community Participation
Female
Health Services Needs and Demand
Humans
Internet
Male
Middle Aged
Models, Psychological
Risk Factors
Young Adult

Word Cloud

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