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Original Research Article | OPEN ACCESS

Assessment of medication prescription errors and their contributory factors in major cities of Punjab Province, Pakistan: A cross-sectional survey

Abdul Majeed1, Iltaf Hussain1, Muqarrab Akbar2, Muhammad O Chaudhry3, Imran Imran4, Hamid Saeed5, Furqan K Hashmi5, Omama Siddique1, Shehnoor Tahir1, Sana Bilal1, Fazila Ashraf1, Mehvish Ayaz1, Muhammad F Rasool1

1Department of Pharmacy Practice; 2Department of Political Science; 3School of Economics; 4Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, 60800, Multan; 5University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, 54000, Lahore, Pakistan.

For correspondence:-  Muhammad Rasool   Email: fawadrasool@bzu.edu.pk

Accepted: 15 December 2020        Published: 31 January 2021

Citation: Majeed A, Hussain I, Akbar M, Chaudhry MO, Imran I, Saeed H, et al. Assessment of medication prescription errors and their contributory factors in major cities of Punjab Province, Pakistan: A cross-sectional survey. Trop J Pharm Res 2021; 20(1):187-201 doi: 10.4314/tjpr.v20i1.28

© 2021 The authors.
This is an Open Access article that uses a funding model which does not charge readers or their institutions for access and distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) and the Budapest Open Access Initiative (http://www.budapestopenaccessinitiative.org/read), which permit unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited..

Abstract

Purpose: To evaluate the prescription errors and their contributory factors in Punjab, Pakistan.  
Methods: An observational, cross-sectional study was conducted in 12 major cities of Punjab, Pakistan. A total of 1,184 prescriptions were collected from patients using a convenient sampling method from homes, pharmacies, clinics, and hospitals. The data were presented in frequency and percentage using descriptive statistics. To determine the association between the variables assessed, Chi-square (?2) test was used.
Results: A total of 1,184 prescriptions were analyzed; 432 of them (36.5 %) were from prescribers who are graduate degree holders, and 752 (63.5 %) from prescribers who are post-graduate degree holders. The most commonly missing parameters in the prescriptions were the age of the patients (835 representing 29.4 %), signatures of the prescribers (755 representing 26.5 %), and prefix (622 representing 21.9 %). The number of prescription errors was significantly correlated to prescriber qualification (p = 0.001). The prescription errors were more common in age groups of prescribers: 21 - 30 years (654 representing 23.0 %), and 31 - 40 years (1,012 representing 35.6 %) (p = 0.001). The higher number of prescription errors by post-graduate prescribers working in teaching hospitals can be attributed to the higher patient load and lack of continuing medical education programs for the prescribers.
Conclusion: The government should take necessary measures for the implementation of electronic prescribing systems, and devise mechanisms for the uniform distribution of patient load amongst the prescribers working in different hospitals.

Keywords: Prescription error, Prescribers, Patient load, Continuing medical education, Electronic prescribing

Impact Factor
Thompson Reuters (ISI): 0.6 (2023)
H-5 index (Google Scholar): 49 (2023)

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