ANALYSIS OF THE INFLUENCE OF CONVENIENCE AND BENEFITS OF INFORMATION TECHNOLOGY ON THE PRACTICE OF PHARMACY ELECTRONIC PRESCRIPTION SERVICES IN BANTEN PROVINCE
Keywords:
Pharmaceutical Practice, Electronic Prescription, Technology Acceptance Model, Structural Equational Model, Information TechnologyAbstract
Information technology has become a vital element in the health sector, including pharmaceutical services in pharmacies. The usefulness of information technology in pharmacies, especially electronic prescription services, is highly dependent on the acceptance of pharmacists and pharmaceutical technicians of this information technology. This study aims to analyze the factors that influence the acceptance of pharmacists and pharmacy technicians to information technology which has an impact on the implementation of the practice of electronic prescription services in pharmacies in Banten Province. The research method is cross-sectional using the Technology Acceptance Model which is analyzed using the Structural Equational Model method. There were 222 pharmacists and pharmacy technical personnel (TTK) from pharmacies in 8 cities/districts in Banten Province who responded to the study. The results of the multivariate test of the structural model show that 4 of the 5 hypotheses are proven. Perceived convenience is proven to have a positive effect on acceptance of information technology and the practice of electronic prescription services in pharmacies (coefficient value 0.618). Meanwhile, perceived benefits only proved to have a significant positive effect on acceptance of information technology (coefficient value 0.328), not on the practice of electronic prescription services at pharmacies (coefficient value -0.131), although it turned out that the attitude constructs of acceptance of information technology by pharmacists and TTK had a positive effect on practice of electronic prescription services in pharmacies (coefficient value 0.353). The research findings are expected to provide insight into the relationship of influencing factors and practical implications regarding perceived behavior from the use of information technology. This study is also expected to be the basis for the first national study conducted on pharmacists and TTK regarding user attitudes towards technology and its impact on electronic prescription services in pharmacies.
Downloads
References
Peraturan Menteri Kesehatan No 26 Tahun 2018 tentang Pelayanan Perizinan Berusaha Terintegrasi Secara Elektronik Sektor Kesehatan. 2018.
Perindustrian K. Membangun Kemandirian Industri Farmasi Nasional. Kementrian Perindustrian Republik Indonesia. 2021. p. 1–33. Diakses dari: https://www.kemenperin.go.id/download/26388/Buku-Analisis-Industri-Farmasi-2021.
Orizio G, Merla A, Schulz PJ, Gelatti U. Quality of online pharmacies and websites selling prescription drugs: A systematic review. J Med Internet Res. 2011;13(3):1–25.
Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS Q Manag Inf Syst. 2003;27(3):425–78.
M. Al Emran, Adrina G, Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications From 2010 to 2020. Recent Advances in Technology Acceptance Models and TheoriesStudies in Systems, Decision and Control335. Springer Nature Switzerland AG 2021.
Davis FD. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q Manag Inf Syst. 1989;13(3):319–40.
Kamal SA, Shafiq M, Kakria P. Investigating acceptance of telemedicine services through an extended Technology Acceptance Model (TAM). Technol Soc.2020. Diakses dari: https://doi.org/10.1016/j.techsoc.2019.101212
Viswanath Venkatesh, Fred D. Davis, (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46(2):186-204
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research
Holden RJ, Karsh B-T. The technology acceptance model: its past and its future in health care. J Biomed Inform. 2010;43:159–72. doi:10.1016/j.jbi.2009.07.002
Yousafzai S, Foxall GR, Pallister JG. Technology acceptance: a meta-analysis of the TAM: Part 2. J Model Manag. 2007;2:281–304. doi:10.1108/17465660710834462
Sezgin E, Yıldırım S. A Literature Review on Attitudes of Health Professionals towards Health Information Systems: From e-Health to m-Health. Procedia Technol. 2014;16:1317–1326.
L Ma. Understanding non-adopters’ intention to use internet pharmacy: Revisiting the roles of trustworthiness, perceived risk and consumer traits. Journal of Engineering and Technology Management 59. 2021.
Yi MY, Jackson JD, Park JS, Probst JC. Understanding information technology acceptance by individual professionals: Toward an integrative view. Inf Manag. 2006;43(3):350–63.
Ashley E Lanham1 Gary L Cochran2 Donald G Klepser. Electronic prescriptions: opportunities and challenges for the patient and pharmacist. Advanced Health Care Technologies. DovePress. 2016.
Lander L, Klepser DG, Cochran GL, Lomelin DE, Morien M. Barrier to electronic prescribing: Nebraska pharmacists’ perspective. J Rural Health. 2012:00:1–6
Kevin A. Clauson. Fadi M. Alkhateeb. Karen D. Lugo. E-prescribing: attitudes and perceptions of community pharmacists in Puerto Rico. Int. J. Electronic Healthcare, Vol. 6, No. 1, 2011.
Crilly, P.; Zein, M.; Kayyali, R. The digital literacy skills of the community pharmacy workforce. Int. J. Pharm. Pract. 2019, 27, 6–31
Suresh V, Krishnamurthy P, Lakshmi KS, Maran K. Applying technology acceptance (TAM) model to determine the factors of acceptance in out-patient information system in private hospital sectors in Chennai city. J Pharm Sci Res. (2016); 8:1373–7. 30.
Khatun F, Heywood AE, Ray PK, Hanifi SMA, Bhuiya A, Liaw ST. Determinants of readiness to adopt mHealth in a rural community of Bangladesh. Int J Med Inform ( 2015)
Sezgin E, Yıldırım SÖ, A Cross-sectional Investigation of Acceptance of Health Information Technology: A Nationwide Survey of Community Pharmacists in Turkey, Research in Social & Administrative Pharmacy (2016)
