Detection of Medication Errors in Primary Care Units through Passive Voluntary Reporting Forms
Ahmed, R., Sabri, N., El Hamamsy, M., Saad, A. (2019). Detection of Medication Errors in Primary Care Units through Passive Voluntary Reporting Forms. EKB Journal Management System, 3(1), 123-129. doi: 10.21608/APS.2019.45300
Rowan W. Ahmed; Nagwa Ali Sabri; Manal H El Hamamsy; Amr A. Saad. "Detection of Medication Errors in Primary Care Units through Passive Voluntary Reporting Forms". EKB Journal Management System, 3, 1, 2019, 123-129. doi: 10.21608/APS.2019.45300
Ahmed, R., Sabri, N., El Hamamsy, M., Saad, A. (2019). 'Detection of Medication Errors in Primary Care Units through Passive Voluntary Reporting Forms', EKB Journal Management System, 3(1), pp. 123-129. doi: 10.21608/APS.2019.45300
Ahmed, R., Sabri, N., El Hamamsy, M., Saad, A. Detection of Medication Errors in Primary Care Units through Passive Voluntary Reporting Forms. EKB Journal Management System, 2019; 3(1): 123-129. doi: 10.21608/APS.2019.45300

Detection of Medication Errors in Primary Care Units through Passive Voluntary Reporting Forms

Archives of Pharmaceutical Sciences Ain Shams University
Article 11, Volume 3, Issue 1, January 2019, Page 123-129  XML PDF (609.75 K)
Document Type: Original Article
DOI: 10.21608/APS.2019.45300
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Authors
Rowan W. Ahmed* 1; Nagwa Ali Sabri1; Manal H El Hamamsy1; Amr A. Saad2
1Clinical Pharmacy Department, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt
2Former Head of the Egyptian Pharmaceutical Vigilance Center (EPVC), Egypt
Abstract
The lack of a universally accepted terminology of what constitutes a Medication Error (ME), makes it difficult to report, detect, categorize and prevent MEs. Methodologically, there isn't a complete picture of the incidence and prevalence of MEs. The broad range of ME rates in literature reflects heterogeneity in the study designs and detection methods used. The current study aimed to detect MEs in reports received from Primary Care Units. A retrospective analysis was applied on such reports dated from March to November 2013 and some fatal cases are taken from 2014. All voluntary reports were included, excluded were errors not associated with drug use and pharmaceutical company reports. Eligible reports underwent assessment using predetermined criteria to pick up MEs. The criteria were applicable on 115 reports, in which MEs were detected. 60% (69/ 115) of ME cases were error cluster while 40% (46/115) were unknown due to either underreporting, lack of data or poor observation and correlation (p < 0.05). Only 7% (8/115) p < 0.001 of the reports were pregnancy cases. Moreover, errors associated with vaccine use accounted for 7% (8/115) of the cases while 93% accounted for errors from other drug use at p < 0.001. Long-term follow-up was needed but not done by the assessors in 41% (47 of 115) of ME cases at pvalue=0.05. Attachments were provided with the reports in 9% (10 /115) of the cases while the majority 91% (105/115) were not (p < 0.001). In conclusion, voluntary reporting is a major strategy to prevent MEs by learning from errors reported.
Keywords
Medication Errors; Passive Voluntary Reporting; Primary Care Units
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