Ethics code: IR.SBMU.RETECH.REC.1401.363
1- School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Department of Radiology Technology, Allied Medical Faculty, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2- Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3- Department of Radiology Technology, Allied Medical Faculty, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract: (27 Views)
Objective(s): Promoting the digitalization of healthcare is one of the key goals of the 21st century for the World Health Organization. Electronic prescribing is the computer-based electronic production, transmission, and filling of prescriptions that replaces paper and fax prescriptions.
Methods: The was a quantitative study. Two descriptive and inferential statistical methods were used to analyze the data. The descriptive statistical method was used to classify the subject groups in terms of various attributes and describe the characteristics of the population, mean, frequency percentage, etc., and in the analytical study, Pearson correlation and analysis of variance were used. The statistical population included physicians working in medical centers of Shahid Beheshti University of Medical Sciences and Health Services in Tehran, Iran. The sample size was calculated according to the Cochran formula as n=288 and the questionnaire (online) was sent randomly via SMS, email, and other social networks.
Results: The findings from one-way analysis of variance showed that the mean difference in the level of usability of the electronic prescription system from the perspective of physicians with different age groups was significantly different from each other, such that from the perspective of physicians in the age group over 50 years old, it was less than the other three groups. It was also determined that the relationship between the amount of training courses and the level of usability of the electronic prescription system was negative and significant.
Conclusion: The evaluation of the opinions of physicians indicated that the existing features were of high importance, but the system could not convince users in a practical way for using the system.
Methods: The was a quantitative study. Two descriptive and inferential statistical methods were used to analyze the data. The descriptive statistical method was used to classify the subject groups in terms of various attributes and describe the characteristics of the population, mean, frequency percentage, etc., and in the analytical study, Pearson correlation and analysis of variance were used. The statistical population included physicians working in medical centers of Shahid Beheshti University of Medical Sciences and Health Services in Tehran, Iran. The sample size was calculated according to the Cochran formula as n=288 and the questionnaire (online) was sent randomly via SMS, email, and other social networks.
Results: The findings from one-way analysis of variance showed that the mean difference in the level of usability of the electronic prescription system from the perspective of physicians with different age groups was significantly different from each other, such that from the perspective of physicians in the age group over 50 years old, it was less than the other three groups. It was also determined that the relationship between the amount of training courses and the level of usability of the electronic prescription system was negative and significant.
Conclusion: The evaluation of the opinions of physicians indicated that the existing features were of high importance, but the system could not convince users in a practical way for using the system.
Keywords: Electronic prescribing system, information recording and access capabilities, decision support features, technical capabilities, physicians
type of study: A Case Study |
Subject:
Helath Services Management
Received: 2024/06/9 | Accepted: 2025/11/6 | ePublished ahead of print: 2025/11/18
Received: 2024/06/9 | Accepted: 2025/11/6 | ePublished ahead of print: 2025/11/18
References
1. Bulut S, Yıldız A, Kaya S. Evaluation of transition to electronic prescriptions in Turkey: perspective of family physicians. International Journal of Health Policy and Management 2019; 81:40-8 [DOI:10.15171/ijhpm.2018.89]
2. Alavi Amalshi S, Kazem Nejad Laili E, Sheikh Taheri A. The views of physicians and pharmacists on outpatient electronic prescribing. Health Management 2022; 253:108-24 [in Persian]
3. Cresswell KM, Mozaffar H, Lee L, Williams R, Sheikh A. Workarounds to hospital electronic prescribing systems: a qualitative study in English hospitals. BMJ Quality & Safety: Homepage 2017;267:542-51 [DOI:10.1136/bmjqs-2015-005149]
4. Crosson JC, Etz RS, Wu S, Straus SG, Eisenman D, Bell DS. Meaningful use of electronic prescribing in 5 exemplar primary care practices. Annals of Family Medicine 2011;95:392-7 [DOI:10.1370/afm.1261]
5. Abramson EL, Barron Y, Quaresimo J, Kaushal R. Electronic prescribing within an electronic health record reduces ambulatory prescribing errors. Joint Commission Journal on Quality and Patient Safety 2011;3710:470-8 [DOI:10.1016/S1553-7250(11)37060-2]
6. Jabrayili M, Rashidi A, Mohit Mafi T, Musazadeh R. Evaluating the capabilities of the outpatient electronic prescription system from the perspective of physicians in specialized polyclinics of Urmia. Payavard Salamat 2020;146:557-68 [in Persian]
7. Borchi GH. Electronic prescription project of Social Security Organization [Internet]. Tehran: Social Security Organization 2021 [cited 2025 Jul 15]. Available from: https://tamin.ir/News/Item/113097 [in Persian]
8. Savari, E, Ajami, S. Electronic prescribing and medication errors. Health Information Management 2015,12: 263-272 [in Persian]
9. Van Laere S, Cornu P, Buyl R. A cross-sectional study of the Belgian community pharmacist's satisfaction with the implementation of the electronic prescription. International Journal of Medical Informatics 2020;135:104069 [DOI:10.1016/j.ijmedinf.2019.104069]
10. Yang JH, Liao Y, Lin W, Wu W. Prescribing errors in electronic prescriptions for outpatients intercepted by pharmacists and the impact of prescribing workload on error rate in a Chinese tertiary-care women and children's hospital. BMC Health Services Research 2019;191:12-30 [DOI:10.1186/s12913-019-4843-1]
11. Lämsä E, Timonen J, Ahonen R. Pharmacy customers' experiences with electronic prescriptions: cross-sectional survey on nationwide implementation in Finland. Journal of Medical Internet Research 2018;202:e9367 [DOI:10.2196/jmir.9367]
12. Rabiei R, Moghaddasi H, Asadi F, Heydari M. Evaluation of computerized provider order entry systems: assessing the usability of systems for electronic prescription. Electron Physician 2018;108:7196-204 [in Persian] [DOI:10.19082/7196]
13. Pevnick JM, Herzik AJ, Li X, Chen I, Chithriki M, Jim L. Effect of computerized physician order entry on imaging study indication. Journal of the American College of Radiology 2015;121:70-4 [DOI:10.1016/j.jacr.2014.07.028]
14. Lins Fumes RR, Vieira Costa EL, Martins PS, Pizzo V, Souza IA, Paula Pinto Schettino G. Is the ICU staff satisfied with the computerized physician order entry? A cross-sectional survey study. Revista Brasileira de Terapia Intensiva 2014;261:1-6 [DOI:10.5935/0103-507X.20140001]
15. Peikari HR, Zakaria MS, Yasin NM, Shah MH, Elhissi A. Role of computerized physician order entry usability in the reduction of prescribing errors. Healthcare Informatics Research 2013;192:93-101 [DOI:10.4258/hir.2013.19.2.93]
16. Altuwaijri MM, Bahanshal A, Almehaid M. Implementation of computerized physician order entry in National Guard Hospitals: assessment of critical success factors. Journal of Family and Community Medicine 2011;183:143-51 [DOI:10.4103/2230-8229.90014]
17. Warholak TL, Rupp MT, Leal S, Kurniawan G, Patel N. Assessing the effect of providing a pharmacist with patient diagnosis on electronic prescription orders: a pilot study. Research in Social and Administrative Pharmacy 2014;101:246-51 [DOI:10.1016/j.sapharm.2013.04.010]
18. Tan WS, Phang JS, Tan LK. Evaluating user satisfaction with an electronic prescription system in a primary care group. Annals Academy of Medicine, Singapore 2009;386:494-7 [DOI:10.47102/annals-acadmedsg.V38N6p494]
Send email to the article author
| Rights and Permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |