Volume 9, Issue 4 (1-2023)
Human Information Interaction 2023, 9(4): 26-36 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
sabaghinejad Z, poorsavari R, koraei A. Assessing the internal structure of the Technology Acceptance Model to present the Persian norm of online health information seeking. Human Information Interaction 2023; 9 (4)
URL: http://hii.khu.ac.ir/article-1-3064-en.html
URL: http://hii.khu.ac.ir/article-1-3064-en.html
Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Ira
Abstract: (2796 Views)
Introduction: The present study was conducted by explaining the internal norm of Davis's technology acceptance model in online health information search among Iranian students to provide a local model.
Methods: The current research is descriptive and was carried out using a survey method. The research community is the students of Ahvaz Jundishapur University of Medical Sciences at all levels of study. A sample of 358 people voluntarily participated in the research by stratified random sampling. The research tool was a researcher-made questionnaire with 20 questions, which after validation, Cronbach's alpha was 0/933 Obtained. The findings were analyzed with SPSS and AMOS software and using descriptive statistical tests, exploratory factor analysis, and other related tests.
Results: The findings of the exploratory factor analysis led to a four-factor model regarding students' online search for health information. The first factor: is the user's intention to search for health information online, the second factor: is the usefulness of using the Internet to receive health information, the third factor: is the ease of using the Internet to receive health information, and the fourth factor is the user's attitude towards the online search for health information. These four factors explain 66.983% of the changes related to the online search of health information among students.
Conclusion: The findings of the research indicate the approval of the Davis technology acceptance model for use in research in the field of health information among Iranian students. Therefore, it can be used in other research in this field among students with the assurance of confirming the internal norm.
Methods: The current research is descriptive and was carried out using a survey method. The research community is the students of Ahvaz Jundishapur University of Medical Sciences at all levels of study. A sample of 358 people voluntarily participated in the research by stratified random sampling. The research tool was a researcher-made questionnaire with 20 questions, which after validation, Cronbach's alpha was 0/933 Obtained. The findings were analyzed with SPSS and AMOS software and using descriptive statistical tests, exploratory factor analysis, and other related tests.
Results: The findings of the exploratory factor analysis led to a four-factor model regarding students' online search for health information. The first factor: is the user's intention to search for health information online, the second factor: is the usefulness of using the Internet to receive health information, the third factor: is the ease of using the Internet to receive health information, and the fourth factor is the user's attitude towards the online search for health information. These four factors explain 66.983% of the changes related to the online search of health information among students.
Conclusion: The findings of the research indicate the approval of the Davis technology acceptance model for use in research in the field of health information among Iranian students. Therefore, it can be used in other research in this field among students with the assurance of confirming the internal norm.
Keywords: information-seeking behavior, health information, online health information, TAM, Technology Acceptance Model
References
1. Ahadzadeh, A. S., Pahlevan Sharif, S., & Sim Ong, F. (2018). Online health information seeking among women: the moderating role of health con-sciousness. Online Information Review, 42(1), 58-72. doi:10.1108/OIR-02-2016-0066
Ahadzadeh, A. S., & Sharif, S. P. (2017). Online health information seeking among Malaysian women: Technology acceptance model perspec-tive. Search, 9(1), 47-70.
Bigdeli Z, Hayati Z, Heidari G, Jowkar T. Place of Internet in Health information seeking behavior: Case of young Internet users in Shiraz. Human Information Interaction. 2016; 3 (1).67-78. [In Persian]
Chang, S. J., & Im, E.-O. (2014). A path analysis of Internet health information seeking behaviors among older adults. Geriatric Nursing, 35(2), 137-141. doi:
Davis, F., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a com-parison of two theoretical models. Management Science, 35(8), 982-1003.
Fergus, T. A. (2014). The Cyberchondria Severity Scale (CSS): an examination of structure and rela-tions with health anxiety in a community sample. Journal of anxiety disorders, 28(6), 504-510.
Feizabadi, M., Gohari, H., sakhaei, A., Vasfi, M. (2018). Internet Use for Health Information Search according to Technology Acceptance Model (TAM) among Women. Journal of Sabzevar Uni-versity of Medical Sciences, 24(6), 51-62. [InPer-sian].
Ghasemi AH, Komeili-sani H, Saki-malehi A, Tu-mari, S. The Search for Health Information on the Net among Undergraduate Female Students at Ahvaz Jundishapur University of Medical Sciences. Educational development of Jundishapur. 2016; 7(4): 318-24. [In Persian]
Ghweeba, M., Lindenmeyer, A., Shishi, S., Abbas, M., Waheed, A., & Amer, S. (2017). What predicts online health information-seeking behavior among Egyptian adults? A cross-sectional study. Journal of medical Internet research, 19(6), e216.
Goonawardene, N., Jiang, J., Tan, S. S.-L., & Jiang, Z. J. (2013). Online Health Information Seeking and Adolescents' Intention Towards Health Self-Management. Paper presented at the PACIS.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS quarterly, 279-305.
Kafashan, M. (2011). Application of technology-adoption theories in assessing libraries information technologies: a corpus-based approach. Library and information science, 13(4 (52)), 193-218. [InPersian].
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). In-vestigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212. doi:
Kim, J., & Park, H.-A. (2012). Development of a health information technology acceptance model using consumers’ health behavior intention. Jour-nal of medical Internet research, 14(5), e133.
Lemire, M., Paré, G., Sicotte, C., & Harvey, C. (2008). Determinants of Internet use as a preferred source of information on personal health. Interna-tional journal of medical informatics, 77(11), 723-734.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1(2), 130.
Mathes, B. M., Norr, A. M., Allan, N. P., Albanese, B. J., & Schmidt, N. B. (2018). Cyberchondria: Overlap with health anxiety and unique relations with impairment, quality of life, and service utiliza-tion. Psychiatry research, 261, 204-211.
McMullan, R. D., Berle, D., Arnáez, S., & Starcevic, V. (2019). The relationships between health anxie-ty, online health information seeking, and cyber-chondria: Systematic review and meta-analysis. Journal of affective disorders, 245, 270-278.
Sabaghinejad, Z., Baji, F., Vejdani, M. (2021). Online Health Information Seeking Behavior among Pregnant Women Referred to Alzahra Hos-pital, Ahvaz City, Iran. Health Information Man-agement, 18(1), 33-38. doi: 10.22122/him.v18i1.4277. [InPersian].
Sabaghinejad, Z., Poursavari, R., Koraei, A. (2021). The Relationship between Online Search on Health Information, Uncertainty, and Cyberchondria among Students. Health Information Manage-ment, 18(5), 210-215. doi: 10.22122/him.v18i1.4412. [InPersian].
Tao, D. (2009). Intention to use and actual use of electronic information resources: further exploring Technology Acceptance Model (TAM). Paper pre-sented at the AMIA Annual Symposium Proceed-ings.
Vismara, M., Caricasole, V., Starcevic, V., Cinosi, E., Dell'Osso, B., Martinotti, G., & Fineberg, N. A. (2020). Is cyberchondria a new transdiagnostic digital compulsive syndrome? A systematic review of the evidence. Comprehensive Psychiatry, 152167.
Wong, C. K., Yeung, D. Y., Ho, H. C., Tse, K.-P., & Lam, C.-Y. (2014). Chinese older adults’ Internet use for health information. Journal of Applied Ger-ontology, 33(3), 316-335.
Yun, E. K., & Park, H. A. (2010). Consumers’ dis-ease information–seeking behaviour on the Inter-net in Korea. Journal of clinical nursing, 19(19‐20), 2860-2868.
------- [DOI:10.1016/j.techsoc.2019.101212]
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
