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MODEL OF HOSPITAL INFORMATION SYSTEM ACCEPTANCE IN HOSPITALS OWNED BY THE SOCIAL SECURITY ORGANIZATION
Corresponding Author(s) : Ahmad Reza Kasraei
Humanities & Social Sciences Reviews,
Vol. 9 No. 1 (2021): January
Abstract
Purpose: The purpose of this study is to provide a model of hospital information system acceptance owned by the Social Security Organization.
Methodology: This study was performed Cross-sectional – applied and descriptively and analytically. This study had two stages. The study population was in the first stage (qualitative), information technology experts in the Social Security Organization (6 people) and the second stage (quantitative), users of the hospital information system in medical centres owned by the Social Security Organization (375 people). The first stage of this study was based on interviews with IT experts. The second stage of the study was based on the results of interviews with experts using the design of a researcher-made questionnaire. The validity of the questionnaire was measured by using the opinion of experts in the field of information technology and health information technology and by calculating the CVR index. Cronbach's alpha coefficient (0.941) was used to assess the reliability of the questionnaire. The questionnaire consisted of 12 axis and 46 questions with a five-point Likert scale with a score of 5-1. The interviews were analyzed qualitatively (content analysis) and the questionnaires were analyzed descriptively, analytically (correlation) and structural equation method is done with the help of SPSS software.
Main Findings: Evaluation of direct relationships between model factors and hypotheses showed that the relationships between habit with intent to use, intention to use with actual use, increase motivation to use, increase management support, meet user expectations in achieving the expected performance of the system, value the cost to the system and the social impact of co-workers significantly increases the intention to use the system. Also, the coefficient of determination R2 for the target variables, which is the intention of use and actual use, were equal to 0.774 and 0.448, respectively. The goodness of fit (GoF) was equal to 0.671. The study of the effect of demographic factors on the target variables (intention to use and actual use) showed that none of the demographic variables has a significant effect on the intention to use and actual use. By considering these factors, the managers of the Social Security Organization can increase the rate of HIS admission in the hospitals and clinics of this organization.
Application of Study: One of the technologies used in the healthcare sector is the hospital information system. It is less developed than other information systems that use information technology and apply quality standards for customer satisfaction. The IT acceptance model is one of the most valid models available that examines the acceptance factors of technology at different levels, including the individual level.
Novelty/Originality: The novelty of this research is giving a model of clinic data framework acknowledgement claimed by the Social Security Organization.
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- Abdekhoda, M., Ahmadi, M., Hossini Agha, F., Prikhani, E., & Farhadi, A. (2011). Factors affecting information technology acceptance by health information management (him) staff of Tehran University of medical sciences’ hospitals based on the technology acceptance model (TAM) In Payavard 2013, 7(4), 287-298.
- Aboyami Owolabi, K., Nurudeen Adeniyi, A., & Neil, E.D. (2019). Factors influencing the adoption of clinical informatics tools among medical doctors in South Africa. University of Dares Salaam Library Journal, 14 (2), 69-86.
- Ahmadi, M., Mehrabi, N., Sheikhtaheri, A., & Sadeghi, M. (2017). Acceptability of picture archiving and communication system (PACS) among hospital healthcare personnel based on a unified theory of acceptance and use of technology. Electronic Physician, 9(9), 5325-5330. https://doi.org/10.19082/5325 DOI: https://doi.org/10.19082/5325
- Alazzam, M.B., Al-Sharo, Y.M., & Alazzam, M.K. (2018). Developing (UTAUT 2) model of adoption mobile Health application in Jordan e- government. Journal of Theoretical and Applied Information Technology 96(12), 3846-60.
- Algahtani, S.S., & King, M. (1999). Attitudes, Satisfaction and Usage: Factors Contributing to Each in the Acceptance of Information Technology. Behav Inf Technol, 18(4), 277-97. https://doi.org/10.1080/014492999119020 DOI: https://doi.org/10.1080/014492999119020
- Baratpour, M., Mehraeen, E., & Bagheri, S., et al.( 2017). Factor affecting hospital information system acceptance by nurses based on the technology acceptance model. J Uurmia Nurse Midwifery, 15(1-90), 27-36.
- Bouraghi, H., Valinejadi, A., Kiani, M., Khodadadi, M., Yazdanyar, M., Vakilimofrad, H., Amiri, M.R. (2012). A survey on the knowledge of managers of Hamadan university of medical sciences about applications of hospital information system. J Health Syst Res, 8(2), 275 -81.
- Chismar, W.G., & Willey-Patton, S. (2002). Test of the Technology Acceptance Model for the Internet in Pediatrics. Proceedings of the 36th Hawaii International Conference. Honolulu.
- Chong, AY-L., & Chan, F.T. (2012). Structural equation modeling for multi-stage analysis on radio frequency identification (RFID) diffusion in the health care industry. Expert Syst Applic, 39(10), 8645-54. https://doi.org/10.1016/j.eswa.2012.01.201 DOI: https://doi.org/10.1016/j.eswa.2012.01.201
- Ford, E.W., Menachemi, N., Hureto, T.R., Yu F. Hospital (2010). IT Adoption Strategies Associated with Implemetation Success: Implications for Archieving Meaningful Use. Journal of Healthcare Management, 55 (3), 175†189. DOI: https://doi.org/10.1097/00115514-201005000-00007
- Foster, R. (2005). Human Factors in Health Information Systems: The Western Cape Experience [Online]. South Africa: Department of the Premier: Provincial Government of the Western Cape; Available from: URL: http://212.52.129.62/SSN/projets/Lists/Announcements/DispForm.aspx?ID=65.
- Ghorbani zadeh, V., Hasannangir, S.T., & Roudsaz, H. (2013). Meta-analysis on effective factors on IT acceptance in Iranian Organizations. Research in Management in Iran, 17(2-79(, 1-19.
- Gupta, S.K., Kant, S., & Chandrashekhar, R. (2007). S.Satpathy. Modern Trends in Planning and Designing of Hospital Principles and Practice. New Delhi: Jaypee Brothers. https://doi.org/10.5005/jp/books/10536 DOI: https://doi.org/10.5005/jp/books/10536
- Imani, E., Khademi, Z., Yusefi, P., Bahrami, Z., Naghizadeh, F. (2012). Experiences of nursing managers about hospital information system: a qualitative study. Hormozgan Medical Journal, 16(3), 223-32.
- Khandouzi, H. (2011). Factors effecting on HIS adoption. [Master's thesis in Persian, A lzahra University]. Irandoc.
- Kijsanayotin, B., Pannarunothai, S., & Speedie, S. (2009). Factors Influencing Health Information Technology Adoption in ThailandØŒS Community Health Centers: Applying the UTAUT Model. Int J Med Inform, 78(6), 404-16. https://doi.org/10.1016/j.ijmedinf.2008.12.005 DOI: https://doi.org/10.1016/j.ijmedinf.2008.12.005
- Kimiafar, K., Sarbaz, M., Sheikhtaheri, A., & Azizi, A. (2015). The Impact of Management Factors on the Success and Failure of Health Information Systems. Indian Journal of Science and Technology, 8(27), IPL0543. https://doi.org/10.17485/ijst/2015/v8i1/84083 DOI: https://doi.org/10.17485/ijst/2015/v8i1/84083
- Kimiyafar, K. (2006). A Study of Users Views About Hospital Information System Quality in Teaching Hospitals of Mashhad University of Medical Sciences [MSc Thesis in Persian, Iran University of Medical Sciences]. Irandoc.
- Langarizadeh, M., Gohari, M., & Koohestani, A. (2014). Acceptance of Hospital Information System among Medical Records Users Based on Technology Acceptance Model. Health Inf Manage, 10(6), 800-808.
- Malekzadeh, S., Hashemi, N., Sheikhtaheri, A., & Hashemi, N.S. (2018). Barriers for Implementation and Use of Health Information Systems from the Physicians' Perspectives. Stud Health Technol Inform. 251, 269-272.
- Mohaghar, A. (2004). Developing of TAM in Ministry of Interior. Knowledge of Management; 67(17): 114-31.
- Namamian, F., Rahmi, A. (2018). Influence hospital information system enhance on the value chain in Imam Ali hospital of Kermanshah [dissertation]. Kermanshah: Islamic Azad University of Kermanshah.
- Rajaeian E., Peikari H., & Zamani N. (2018). Factors affecting the intention of adoption of health information technology in hospital. Quarterly Journal of Nursing Management, 7(2), 49-59.
- Schaper, L.K., Pervan, G., ICT, & OTs. (2007). A Model of Information and Communications Technology Acceptance and Utilisation by Occupational Therapists (Part 2). Stud Health Technol Inform, 130, 91-101.
- Scott, R. (2007). E-Records in Health- Preserving Our Future. Int J Med Inform, 76(5-6), 427-31. https://doi.org/10.1016/j.ijmedinf.2006.09.007 DOI: https://doi.org/10.1016/j.ijmedinf.2006.09.007
- Sheikhtaheri, A., Rostami Garavand, S., & Ahmadi, H. (2018). Factors Related to the Acceptance of Radio Frequency Identification Technology in Health Information Management Departments of Hospitals Affiliated to Iran University of Medical Sciences. Journal of Health and Biomedical Informatics, 5(2), 265-273.
- Sheikhtaheri, A., Kimiafar, K., & Sarbaz, M. (2014). Evaluation of system quality of hospital information system: a case study on nurses' experiences. Stud Health Technol Inform, 205, 960-4.
- Tabibi, S.J., Farhangi Nasiripour, A., Baradaran Kazemzadeh, R., & Ebrahimi, P. (2012). The Effect of Supervisors and Work Group on Hospital Information System Acceptance Model. Health Administration, 15(50), 52-64.
- Tavakoli, N., Jahanbakhsh, M., Yadegarfard, G., & Ranjbar, N. (2017). Acceptance and Use of Hospital Information System: a study on medical records users Based on Unified Theory of Acceptance and Use of Technology. Journal of Health and Biomedical Informatics, 3(4), 243-250.
- Yi, M.Y., Jackson, J.D., Park, J.S., & Probst, J.C. (2006). Understanding Information Technology Acceptance By Individual Professionals: Toward An Integrative View. Inf Management, 43(3), 350-63. https://doi.org/10.1016/j.im.2005.08.006 DOI: https://doi.org/10.1016/j.im.2005.08.006
- Zailani, S., Iranmanesh, M., Nikbin, D., & Beng, J.K.C. (2015). Determinants of RFID adoption in Malaysia’s healthcare industry: occupational level as a moderator. J Med Syst, 39(1),1-11. https://doi.org/10.1007/s10916-014-0172-4 DOI: https://doi.org/10.1007/s10916-014-0172-4
References
Abdekhoda, M., Ahmadi, M., Hossini Agha, F., Prikhani, E., & Farhadi, A. (2011). Factors affecting information technology acceptance by health information management (him) staff of Tehran University of medical sciences’ hospitals based on the technology acceptance model (TAM) In Payavard 2013, 7(4), 287-298.
Aboyami Owolabi, K., Nurudeen Adeniyi, A., & Neil, E.D. (2019). Factors influencing the adoption of clinical informatics tools among medical doctors in South Africa. University of Dares Salaam Library Journal, 14 (2), 69-86.
Ahmadi, M., Mehrabi, N., Sheikhtaheri, A., & Sadeghi, M. (2017). Acceptability of picture archiving and communication system (PACS) among hospital healthcare personnel based on a unified theory of acceptance and use of technology. Electronic Physician, 9(9), 5325-5330. https://doi.org/10.19082/5325 DOI: https://doi.org/10.19082/5325
Alazzam, M.B., Al-Sharo, Y.M., & Alazzam, M.K. (2018). Developing (UTAUT 2) model of adoption mobile Health application in Jordan e- government. Journal of Theoretical and Applied Information Technology 96(12), 3846-60.
Algahtani, S.S., & King, M. (1999). Attitudes, Satisfaction and Usage: Factors Contributing to Each in the Acceptance of Information Technology. Behav Inf Technol, 18(4), 277-97. https://doi.org/10.1080/014492999119020 DOI: https://doi.org/10.1080/014492999119020
Baratpour, M., Mehraeen, E., & Bagheri, S., et al.( 2017). Factor affecting hospital information system acceptance by nurses based on the technology acceptance model. J Uurmia Nurse Midwifery, 15(1-90), 27-36.
Bouraghi, H., Valinejadi, A., Kiani, M., Khodadadi, M., Yazdanyar, M., Vakilimofrad, H., Amiri, M.R. (2012). A survey on the knowledge of managers of Hamadan university of medical sciences about applications of hospital information system. J Health Syst Res, 8(2), 275 -81.
Chismar, W.G., & Willey-Patton, S. (2002). Test of the Technology Acceptance Model for the Internet in Pediatrics. Proceedings of the 36th Hawaii International Conference. Honolulu.
Chong, AY-L., & Chan, F.T. (2012). Structural equation modeling for multi-stage analysis on radio frequency identification (RFID) diffusion in the health care industry. Expert Syst Applic, 39(10), 8645-54. https://doi.org/10.1016/j.eswa.2012.01.201 DOI: https://doi.org/10.1016/j.eswa.2012.01.201
Ford, E.W., Menachemi, N., Hureto, T.R., Yu F. Hospital (2010). IT Adoption Strategies Associated with Implemetation Success: Implications for Archieving Meaningful Use. Journal of Healthcare Management, 55 (3), 175†189. DOI: https://doi.org/10.1097/00115514-201005000-00007
Foster, R. (2005). Human Factors in Health Information Systems: The Western Cape Experience [Online]. South Africa: Department of the Premier: Provincial Government of the Western Cape; Available from: URL: http://212.52.129.62/SSN/projets/Lists/Announcements/DispForm.aspx?ID=65.
Ghorbani zadeh, V., Hasannangir, S.T., & Roudsaz, H. (2013). Meta-analysis on effective factors on IT acceptance in Iranian Organizations. Research in Management in Iran, 17(2-79(, 1-19.
Gupta, S.K., Kant, S., & Chandrashekhar, R. (2007). S.Satpathy. Modern Trends in Planning and Designing of Hospital Principles and Practice. New Delhi: Jaypee Brothers. https://doi.org/10.5005/jp/books/10536 DOI: https://doi.org/10.5005/jp/books/10536
Imani, E., Khademi, Z., Yusefi, P., Bahrami, Z., Naghizadeh, F. (2012). Experiences of nursing managers about hospital information system: a qualitative study. Hormozgan Medical Journal, 16(3), 223-32.
Khandouzi, H. (2011). Factors effecting on HIS adoption. [Master's thesis in Persian, A lzahra University]. Irandoc.
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. (2009). Factors Influencing Health Information Technology Adoption in ThailandØŒS Community Health Centers: Applying the UTAUT Model. Int J Med Inform, 78(6), 404-16. https://doi.org/10.1016/j.ijmedinf.2008.12.005 DOI: https://doi.org/10.1016/j.ijmedinf.2008.12.005
Kimiafar, K., Sarbaz, M., Sheikhtaheri, A., & Azizi, A. (2015). The Impact of Management Factors on the Success and Failure of Health Information Systems. Indian Journal of Science and Technology, 8(27), IPL0543. https://doi.org/10.17485/ijst/2015/v8i1/84083 DOI: https://doi.org/10.17485/ijst/2015/v8i1/84083
Kimiyafar, K. (2006). A Study of Users Views About Hospital Information System Quality in Teaching Hospitals of Mashhad University of Medical Sciences [MSc Thesis in Persian, Iran University of Medical Sciences]. Irandoc.
Langarizadeh, M., Gohari, M., & Koohestani, A. (2014). Acceptance of Hospital Information System among Medical Records Users Based on Technology Acceptance Model. Health Inf Manage, 10(6), 800-808.
Malekzadeh, S., Hashemi, N., Sheikhtaheri, A., & Hashemi, N.S. (2018). Barriers for Implementation and Use of Health Information Systems from the Physicians' Perspectives. Stud Health Technol Inform. 251, 269-272.
Mohaghar, A. (2004). Developing of TAM in Ministry of Interior. Knowledge of Management; 67(17): 114-31.
Namamian, F., Rahmi, A. (2018). Influence hospital information system enhance on the value chain in Imam Ali hospital of Kermanshah [dissertation]. Kermanshah: Islamic Azad University of Kermanshah.
Rajaeian E., Peikari H., & Zamani N. (2018). Factors affecting the intention of adoption of health information technology in hospital. Quarterly Journal of Nursing Management, 7(2), 49-59.
Schaper, L.K., Pervan, G., ICT, & OTs. (2007). A Model of Information and Communications Technology Acceptance and Utilisation by Occupational Therapists (Part 2). Stud Health Technol Inform, 130, 91-101.
Scott, R. (2007). E-Records in Health- Preserving Our Future. Int J Med Inform, 76(5-6), 427-31. https://doi.org/10.1016/j.ijmedinf.2006.09.007 DOI: https://doi.org/10.1016/j.ijmedinf.2006.09.007
Sheikhtaheri, A., Rostami Garavand, S., & Ahmadi, H. (2018). Factors Related to the Acceptance of Radio Frequency Identification Technology in Health Information Management Departments of Hospitals Affiliated to Iran University of Medical Sciences. Journal of Health and Biomedical Informatics, 5(2), 265-273.
Sheikhtaheri, A., Kimiafar, K., & Sarbaz, M. (2014). Evaluation of system quality of hospital information system: a case study on nurses' experiences. Stud Health Technol Inform, 205, 960-4.
Tabibi, S.J., Farhangi Nasiripour, A., Baradaran Kazemzadeh, R., & Ebrahimi, P. (2012). The Effect of Supervisors and Work Group on Hospital Information System Acceptance Model. Health Administration, 15(50), 52-64.
Tavakoli, N., Jahanbakhsh, M., Yadegarfard, G., & Ranjbar, N. (2017). Acceptance and Use of Hospital Information System: a study on medical records users Based on Unified Theory of Acceptance and Use of Technology. Journal of Health and Biomedical Informatics, 3(4), 243-250.
Yi, M.Y., Jackson, J.D., Park, J.S., & Probst, J.C. (2006). Understanding Information Technology Acceptance By Individual Professionals: Toward An Integrative View. Inf Management, 43(3), 350-63. https://doi.org/10.1016/j.im.2005.08.006 DOI: https://doi.org/10.1016/j.im.2005.08.006
Zailani, S., Iranmanesh, M., Nikbin, D., & Beng, J.K.C. (2015). Determinants of RFID adoption in Malaysia’s healthcare industry: occupational level as a moderator. J Med Syst, 39(1),1-11. https://doi.org/10.1007/s10916-014-0172-4 DOI: https://doi.org/10.1007/s10916-014-0172-4