نشریه علمی پژوهشی طب انتظامی Journal of Police Medicine
Volume 13, Issue 1 (2024)
J Police Med 2024, 13(1) |
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Saberian M, Ahmadi R. Evaluating the Amount of Medication Ordering Errors in Social Security Insurance Organization Electronic Prescriptions in one of the Reference Pharmacies in Tehran, Iran. J Police Med 2024; 13 (1) : e8
URL: http://jpmed.ir/article-1-1277-en.html
URL: http://jpmed.ir/article-1-1277-en.html
1- , msbpharmd@yahoo.com
English Extended Abstract: (128 Views)
Aims: Mistakes in transferring a doctor's prescription to a patient are among the most common causes of prescription errors. These errors can often result from a doctor's illegible handwriting. The introduction of electronic prescriptions is expected to reduce the mistakes associated with manual prescriptions. This study aimed to examine the errors in prescriptions recorded in the Social Security insurance electronic prescription system during the first three months after the implementation of the electronic prescription requirement.
Materials and Methods: This descriptive cross-sectional study was conducted in the last quarter of 2021 at the 13 Aban 24-hour pharmacy in Tehran. The research involved a review of 6,210 electronic prescriptions recorded in the Social Security Organization's electronic prescription system from November to March 2021. The study focused on identifying the number of prescriptions that contained incorrect drug entries, ambiguous drug prescriptions, and those that included specific annotations or the phrase "as prescribed" in the drug instructions. The data were analyzed using Microsoft Excel version 2010.
Findings: In a review of 6,210 electronic prescriptions, 4,350 (70.06%) were found to have no errors or ambiguities. Conversely, 1,436 prescriptions (23.12%) contained at least one error, while 459 prescriptions (7.39%) included at least one ambiguity. Additionally, the phrase "as prescribed" appeared in 3,183 prescriptions (51.26%), and 928 prescriptions (14.94%) included additional explanations.
Conclusion: This study's results indicate that while converting prescriptions from handwritten to electronic formats has eliminated errors associated with illegible handwriting, it has also introduced new types of errors. As a result, the overall rates of errors in electronic prescriptions have not significantly changed compared to handwritten prescriptions.
Materials and Methods: This descriptive cross-sectional study was conducted in the last quarter of 2021 at the 13 Aban 24-hour pharmacy in Tehran. The research involved a review of 6,210 electronic prescriptions recorded in the Social Security Organization's electronic prescription system from November to March 2021. The study focused on identifying the number of prescriptions that contained incorrect drug entries, ambiguous drug prescriptions, and those that included specific annotations or the phrase "as prescribed" in the drug instructions. The data were analyzed using Microsoft Excel version 2010.
Findings: In a review of 6,210 electronic prescriptions, 4,350 (70.06%) were found to have no errors or ambiguities. Conversely, 1,436 prescriptions (23.12%) contained at least one error, while 459 prescriptions (7.39%) included at least one ambiguity. Additionally, the phrase "as prescribed" appeared in 3,183 prescriptions (51.26%), and 928 prescriptions (14.94%) included additional explanations.
Conclusion: This study's results indicate that while converting prescriptions from handwritten to electronic formats has eliminated errors associated with illegible handwriting, it has also introduced new types of errors. As a result, the overall rates of errors in electronic prescriptions have not significantly changed compared to handwritten prescriptions.
Article number: e8
Keywords: Electronic Prescribing [https://www.ncbi.nlm.nih.gov/mesh/68055695], Electronic Prescription [https://www.ncbi.nlm.nih.gov/mesh/68055695], E-Prescribing [https://www.ncbi.nlm.nih.gov/mesh/68055695], E-Prescription [https://www.ncbi.nlm.nih.gov/mesh/680
Article Type: Original Research |
Subject:
Police Medicine Related Technologies
Received: 2024/10/21 | Accepted: 2024/11/23 | Published: 2024/04/11
Received: 2024/10/21 | Accepted: 2024/11/23 | Published: 2024/04/11
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