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Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model

Fateme Moghbeli, Mostafa Langarizadeh, Azita Kouhestani, Azam Orooji
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Abstract

Introduction:  The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot describe the users’ behavior in the environments like the Hospital Information System. From the technology acceptance standpoint at the individual acceptance level, the present paper tends to develop a Technology Acceptance Model with introducing some external factors.

Material and Methods: This study was conducted in 2017. The research population was included 185 nurses who works in Health Information Management (HIM) departments of Tehran University of Medical Sciences. A questionnaire was developed in order to gather the required data. The validity was obtained by panel of experts and the reliability was examined and then confirmed in a 50 person sample using the Cronbach’s Alpha (a=0.93). The Likert’s five item scale was applied. The data were analyzed using descriptive statistics, exploratory factor analysis, and path analysis.

Results: The behavioral intention was affected significantly and positively by the factors of perceived usefulness, perceived ease of use, self-efficacy, end user support, social norm, trust, job relevance, and training, with trust having the highest level of effects. Also perceived ease of use had a significant effect on perceived usefulness along with an indirect effect on behavioral intention through perceived usefulness. The factors of anxiety, voluntariness, and facilitating conditions showed no significant effects on behavioral intention.

Conclusion:  The factors of trust, perceived usefulness, social norm, end user support, and self-efficacy have an impact on the behavioral intention of the users utilizing the Hospital Information System in the concerning hospitals. These factors could explain 72% of the changes of behavioral intention. Concentrating on them would lead to the improvement of the acceptance and Hospital Information System efficiency.

References

Abedian S, Bitaraf E. Offering model of hospital information system. Statistics and Information Technology Management Center of Ministry of Health and Medical Education 2009.

Langarizadeh M, Moghbeli F, Aliabadi A. Application of Ethics for Providing Telemedicine Services and Information Technology. Medical Archives. 2017; 71(5): 351-5. PMID: 29284905 DOI: 10.5455/medarh.2017.71.351-355 [PubMed]

Aggelidis VP, Chatzoglou PD. Using a modified technology acceptance model in hospitals. Int J Med Inform. 2009; 78(2): 115-26. PMID: 18675583 DOI: 10.1016/j.ijmedinf.2008.06.006

Helia VN, Asri VI, Kusrini E, Miranda S, editors. Modified technology acceptance model for hospital information system evaluation–a case study. MATEC Web of Conferences; 2018: EDP Sciences. DOI: 10.1051/matecconf/201815401101

Yousefi M, Moradi GH, Ghazisaeidi M, Fazaeli S. Review of various aspects of clinical information systems implementation and awareness of health information administrators about it. Health Information Management. 2011; 8(2): 1-10.

Rootes-Murdy K, Glazer KL, Van Wert MJ, Mondimore FM, Zandi PP. Mobile technology for medication adherence in people with mood disorders: A systematic review. Journal Affect Disord. 2018; 227: 613-7. PMID: 29172054 DOI: 10.1016/j.jad.2017.11.022

Ebadifardazar F, Ansari H, Zohour A, Marashi S. Study of users attitudes about the computerized hospital information systems (HIS) in hospitals of Tehran. Payesh Journal 2006; 6(1): 11-8.

Gozali E, Langarizadeh M, Sadooghi F, Sadeghi M. Electronic medical record, step toward improving the quality of healthcare services and treatment provided to patients. J Ardabil Univ Med Sc. 2014; 14(1): 93-6.

Kimiyafar KH. A study of users views about hospital information system quality in teaching hospitals of Mashhad University of medical sciences. [M.S Thesis in Persian]. Tehran: Iran University of Medical Sciences; 2006.

Bull S, Thomas DS, Nyanza EC, Ngallaba SE. Tanzania health information technology (T-HIT) system: Pilot test of a tablet-based system to improve prevention of mother-to-child transmission of HIV. JMIR Mhealth and Uhealth. 2018; 6(1): e16. PMID: 29335236 DOI: 10.2196/mhealth.8513

Foster RS. Human factors in health information systems: The Western Cape experience. Department of the Premier: Provincial Government of the Western Cape; 2005.

Mooseli L. Hospital information system (HIS). The abstract articles of the sixth conference of health care management students; Tehran. 2008.

Hajavi A, Hoseini F, Langarizadeh M. Usability condition of medical records department's software packages at medical universities' hospitals in Tehran. Journal of Health Management. 2002; 7(17): 12-6.

Lorenzi NM, Riley RT, Dewen N. Barriers and ressistance to informatics in behavioral health. Stud Health Technol Inform. 2001; 84(Pt 2): 1301-4. PMID: 11604938

Asadi F, Mastaneh Z. Challenges of using information technology in hospitals affiliated to Shahid Beheshti University of medical sciences. Iranian Journal of Surgery. 2012; 20(1): 18-26.

Tabibi J, Nasiripour AA, Baradaran Kazemzadeh R, Farhangi AA, Ebrahimi P. Effective factors on hospital information system acceptance: A confirmatory study in Iranian hospitals. Middle-East Journal of Scientific Research. 2011; 9(1): 95-101.

Venkatesh V, Morris MG, Davis FD, Davis G. User acceptance of information technology: toward a unified vie. MIS Quarterly. 2003; 27(3): 425-78.

Bagheri MA, Hamidi Beheshi MT, Alidousti S. Acceptance of internet banking in Iran: Extension of technology acceptance model (TAM). Iranian Journal of Information Processing and Management. 2009; 24(3): 5-33.

Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989; 13(3): 319-39.

Algahtani SS, King M. Attitudes, satisfaction and usage: factors contributing to each in the acceptance of information technology. Behavior and Information Technology. 1999; 18(4): 277-97.

Hung SY, Hung WH, Tsai CA, Jiang SC. Critical factors of hospital adoption on CRM System: organizational and information system perspectives. Decision Support Systems. 2010; 48: 592-603.

Williams B, Brown T, Onsman A. Exploratory Factor Analysis: A Five-Step Guide for Novices. Australasian Journal of Paramedicine. 2010; 8(3): 1-13.

Crawford J. Interpretation of eigenvalues in multivariate statistical analysis and Bartlett's test for Riesz distributions. Indiana: Indiana University 2008.

Wu JH, Shen WS, Lin LM, Greenes RA, Bates DW. Testing the technology acceptance model for evaluating healthcare professionals, intention to use an adverse event reporting system. Int J Qual Health Care. 2008; 20(2): 123-9. PMID: 18222963 DOI: 10.1093/intqhc/mzm074

Mohaghar A, Shirmohammadi M. Developing of TAM in ministry of interior affairs. Journal of Knowledge Management. 2004; 17(5):113-31.

Morton ME. Use and acceptance of an Electronic health record: factors affecting physician attitudes [M.S Thesis]: Drexel; 2008.

Sheikhshoaei F, Oloumi T. A study of effective factors on information technology acceptance by librarian of technical college libraries of Tehran public universities. Library & Information Sciences. 2007; 10(3): 9-34.

Soleimani A, Zarafshani K. Factors determining adoption of information technology by vocational agricultural teaches using technology acceptance model (TAM) in Kermanshah province. Iranian Journal of Information Processing and Management. 2011; 26(4): 885-902.

Monzavi T, Zarei B. Designing a model to explicate factors influence the process of IT user adoption: A research about Iranian offshore engineering and construction company. Journal of Information Technology Management. 2010; 2(5): 129-48.

Tung FC, Chang SC, Chou CM. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. Int J Med Inform. 2008; 77(5): 324-35. PMID: 17644029 DOI: 10.1016/j.ijmedinf.2007.06.006

Can P. An analysis of the main critical factors that affect the acceptance of technology in hospital management systems [M.S Thesis]. Turkey: Univ. Middle East Technical; 2010.

Kowitlawakul Y. The technology acceptance model: Predicting nurses’ intention to use telemedicine technology. Comput Inform Nurs. 2011; 29(7): 411-8. PMID: 20975536 DOI: 10.1097/NCN.0b013e3181f9dd4a

Chismar WG, Willey-Patton S, editors. Test of the technology acceptance model for the internet in pediatrics. The 36th Hawaii international conference; 2003; Honolulu: Management Science Hawaii.

Bertrand M, Bouchard S. Applying the technology acceptance model to VR with people who are favorable to its use. Cybertherapy & Rehabilitation. 2008; 1: 200-10.




DOI: http://dx.doi.org/10.1234/ijmi.v7i0.147

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