Annals of African Medicine
Home About AAM Editorial board Ahead of print Current Issue Archives Instructions Subscribe Contact us Search Login 

Table of Contents
Year : 2018  |  Volume : 17  |  Issue : 1  |  Page : 26-32  

Prescribing pattern and antibiotic use for hospitalized children in a Northern Nigerian Teaching Hospital

1 Department of Paediatrics, Ahmadu Bello University, Zaria, Nigeria
2 Department of Clinical Pharmacy and Pharmacy Management, University of Nigeria, Nsukka, Enugu State, Nigeria
3 Department of Paediatrics, Kaduna State University, Kaduna, Kaduna State, Nigeria
4 Department of Pharmaceutical Services, Ahmadu Bello University Teaching Hospital, Zaria, Nigeria

Date of Web Publication24-Jan-2018

Correspondence Address:
Dr. Lawal Waisu Umar
Department of Paediatrics, Ahmadu Bello University, Zaria, Kaduna State
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/aam.aam_44_17

Rights and Permissions

Background: Assessment of patterns of drug to detect performance problems and compliance with standards facilitates objective comparisons and impact evaluation. Children are at higher risk of consequences of irrational prescribing and antibiotic misuse. Objective: The objective of the study was to evaluate the prescribing pattern and utilization of antibiotics for children using standard prescribing indicators and indices of rational drug prescribing. Materials and Methods: This was a retrospective study of prescriptions for pediatric inpatients at a teaching hospital in Northern Nigeria. Information was obtained from eligible prescriptions received over 24-month period using a modified WHO prescribing indicator form. The WHO prescribing indicators and the Index of Rational Drug Prescribing (IRDP) were used to evaluate prescriptions. Data were analyzed and presented as proportions, means, tables, and charts, comparing with WHO standards and with findings of similar studies. Results: There were 3908 eligible prescription orders, with a mean patient age of 3.1 (±2.7) years. With an average of 2.1 drugs per prescription, 66.8% were written with generic names, whereas a single antibiotic was included among 63% of prescriptions with antibiotics. Antibiotics and injections were contained in 49.5% and 67.7% of prescriptions, respectively. Medications were available in the Essential Medicines List in 95.5% of cases. The IRDP obtained is 2.99, against a standard of 5. Aminoglycosides, cephalosporins, and penicillins were the most common choices, whereas ampicillin/cloxacillin was the most common combination. Conclusion: Drug prescribing and antibiotic use were generally inappropriate compared with ideal standards. Continuous training/retraining on rational drug use, periodic monitoring, and use of treatment protocols in tertiary hospitals are recommended.

   Abstract in French 

Contexte: L'évaluation des tendances de la consommation de drogues pour détecter les problèmes de performance et de la conformité aux normes facilite la comparaison objective et l'évaluation de l'impact. Les enfants sont plus à risque de conséquences d'abus d'antibiotiques de prescription et d'irrationnel. Objectif: L'objectif de l'étude était d'évaluer la tendance de la prescription et l'utilisation des antibiotiques pour les enfants à l'aide de norme prescrivant d'indicateurs et d'indices de la prescription rationnelle des médicaments. Matériels et méthodes: Il s'agissait d'une étude rétrospective d'ordonnances pour les patients pédiatriques d'un hôpital d'enseignement dans le nord du Nigéria. L'information a été obtenue à partir d'ordonnances admissibles ont reçu plus de 24 mois à l'aide d'une prescription qui modified sous forme d'indicateurs. Les indicateurs de prescription qui et l'indice de la prescription rationnelle des médicaments (PDIR) ont été utilisés pour évaluer les prescriptions. Les données ont été analysées et présentées en tant que proportions, signifie, tableaux et graphiques, la comparaison avec les normes de l'OMS et des constatations d' études semblables. Résultats: Il y avait 3908 ordonnances ordonnance admissibles, avec une moyenne d'âge du patient, de 3,1 (± 2,7) ans. Avec une moyenne de 2,1 médicaments par ordonnance, 66,8 % ont été écrits avec des noms génériques, alors qu'un seul antibiotique a été inclus parmi les 63% des ordonnances avec des antibiotiques. Les antibiotiques et les injections ont été contenues dans 49,5% et 67,7% des ordonnances, respectivement. Médicaments étaient disponibles dans la liste des médicaments essentiels dans 95,5% des cas. Le PDIR obtenue est 2,99, par rapport à une norme de 5. Les aminosides, les céphalosporines, pénicillines et les choix les plus courants ont été, alors que l'ampicilline/cloxacillin est la combinaison la plus commune. Conclusion: La prescription et l' utilisation des antibiotiques ont été généralement inapproprié par rapport aux normes idéales. La formation continue et de recyclage sur l'utilisation rationnelle des médicaments, la surveillance périodique, et l' utilisation de protocoles de traitement dans les hôpitaux tertiaires sont recommandés.
Mots-clés: enfants d'antibiotiques, mιdicaments essentiels, l'usage irrationnel des mιdicaments, du Nigιria, des prescriptions, des hτpitaux d'enseignement

Keywords: Antibiotic children, essential medicines, irrational drug use, Nigeria, prescriptions, teaching hospital

How to cite this article:
Umar LW, Isah A, Musa S, Umar B. Prescribing pattern and antibiotic use for hospitalized children in a Northern Nigerian Teaching Hospital. Ann Afr Med 2018;17:26-32

How to cite this URL:
Umar LW, Isah A, Musa S, Umar B. Prescribing pattern and antibiotic use for hospitalized children in a Northern Nigerian Teaching Hospital. Ann Afr Med [serial online] 2018 [cited 2022 Dec 7];17:26-32. Available from:

   Introduction Top

Irrational prescribing, polypharmacy, use of “off-label,” drugs and medicines with improper efficacy are common in developing countries.[1],[2],[3] Inappropriate antibiotic use, overuse of injections, and erroneous prescription writing have been identified as the most common forms of irrational use of medicines worldwide.[4],[5],[6] The magnitude of irrational drug use is enormous in developing countries where high burden of infections, limited antibiotic availability, and poor regulation of drug use coexist.[4],[5],[6] In spite of being an issue of public health concern, regulations to curtail the trend have remained largely inadequate.[7] The advent of antibiotic therapy later became accompanied by dire consequences of their misuse including emergence and spread of drug-resistant pathogens, escalating costs of care with increased morbidity and mortality.[1],[8],[9],[10] It has been estimated that between 20% and 50% of all antibiotic use is inappropriate.[9] Currently, Nigeria has a National Drug Policy that addresses rational prescribing, but the policy lacks specific regulations on antibiotic use.[11]

Medication errors are any failure in the treatment process that leads to or has the potential to lead to harm to the patient and include mistakes of prescribing, administering, dosing, and duplication.[9] Prescription errors are any failure in prescription writing process that results in wrong instructions about the normal features of a prescription.[9] These features include the identities of the recipient, the prescriber and that of the medicine, dosage, formulation, route, timing, frequency, and duration of administration.[9],[12] Prescribing errors have been reported in all age groups across the world, raising concerns on medication safety, especially among vulnerable groups.[13] Children are more at risk of the adverse effects of medication errors due to unique peculiarities of body size, surface area, drug metabolism, and excretion.[14] Several studies have shown that dosing errors are consistently the most prevalent forms of medication errors among prescriptions for children and adjustments based on the unique peculiarities of children helps prevent these errors.[15],[16]

Among studies on inpatient pediatric prescriptions in developing countries, Deshmukh and Mahajan et al., in India, observed 79% of prescriptions containing two antibiotics with 96% being parenteral forms whereas 48.92% were written in generic name.[17] Cole et al., in Sierra Leone, reported 82.99% of prescriptions containing antibiotics, being also the second most commonly prescribed medicines.[18] In Nigeria, Anyanwu and Arigbe-Osula [19] found between 63.3% and 86.6% of prescriptions containing antibiotics, whereas the rate of antibiotic prescribing was higher for children aged 1–5 years compared to other groups combined. They also found that 80%–86% of antibiotics were parenteral and 80%–85.5% were prescribed from the hospital formulary with the most common being cephalosporins, penicillin, and aminoglycosides.[19]

Irrational prescribing may lead to ineffective and/or harmful treatment, elongation of duration of illness, and increased costs.[20],[21],[22],[23] Major determinants of prescribing habits include influence of mentors and pharmaceutical sales representatives and patient peculiarities.[24],[25],[26] In teaching hospitals, trainees often exhibit prescribing habits reflecting the influence of senior colleagues, whom they consistently emulate in a didactic tradition.[26]

The WHO prescribing indicators and the Index of Rational Drug Prescribing (IRDP) are recognized as the basic minimal standard for promoting rational drug use, monitoring, and evaluation of drug utilization.[27],[28],[29]

Most studies from tertiary hospitals in Nigeria reported on prescriptions for adult outpatients, leaving a gap of information for pediatric inpatients. A literature search using PubMed, MEDLINE, HINARI, Google Scholar, and Africa Journals Online, with appropriate search terms revealed only a few studies on outpatients that assessed prescribing using the WHO indicators [30],[31],[32] Although developed for use in outpatient settings in primary level facilities, the indicators have also been applied for inpatient settings of tertiary hospitals.[5],[6],[17],[18],[30],[31],[32]

The aim of this study was to investigate prescribing and antibiotic use, employing the WHO core indicators.

   Materials and Methods Top

Study center

The study center is a training and referral center with over 800-bed capacity that provides health-care services for many states across Northern Nigeria. The facility has a pediatrics department with admission units including the emergency pediatric unit (EPU), a special care baby unit, pediatric medical ward, and the pediatric surgical ward. Patients are referred for admission from the delivery suite, the general outpatient department, and the accidents/emergency units as well as the weekly subspecialty clinics. There has neither been any drug monitoring activity nor antibiotic stewardship program conducted in the hospital before and during the study period.

Study design

The study was of a descriptive retrospective design involving inpatient prescription orders of children that were on admission, received at the main hospital pharmacy over the 24-month period from January 1, 2013 to December 31, 2014.

Study sample

All eligible prescription orders for children below the age of 18 years that were on admission within the study period were included and constituted the study sample. The WHO recommends sample size of a minimum of 600 encounters as the ideal for retrospective evaluation of prescriptions that should be obtained through random sampling.[27] However, the consideration for potential effects of seasonality of illness presentations and fluctuations in patronage of hospital services due to other reasons in this study informed the decision to include all eligible prescriptions within the study period, even though a less preferred method as suggested by the WHO.[27]

Exclusion criteria

Prescription orders that were not legibly written and considered not readable were not included, as well as those containing only intravenous infusions, consumable items, and vaccines. Any prescriptions without relevant client identity (age, registration number, and ward address) were excluded from the study. Prescriptions that were repeated with the same drugs and those revised were also excluded from the study.

Data collection

Information collected from the prescription order forms include compliance with standard prescription format and specific indicators including age, sex, registration number, body weight, prescriber (doctor's) name, and signature. Others include names of medicines prescribed, dose, route, strength, frequency and instructions for medication use, number of drugs prescribed, and duration of treatment. Dosage and frequency of administration of antibiotics were also compared with standard in the BNF,[16] and the EMDEX Paediatric Drug Guide 2013 (based on WHO Model Essential Medicines List [EML] for Children).[33] Trained Intern Pharmacists extracted relevant data and entered these into a standardized prescribing indicator form as adapted from the WHO.[27]

Data analysis

The prescriptions were evaluated in conformity with the methods of deriving core prescribing indicators recommended by the WHO.[27],[28] This includes the average number of drugs contained per encounter (drugs prescribed divided by total number of eligible encounters), number of drugs prescribed using generic names divided by total number of drugs prescribed, multiplied by 100 (percentage), and number of prescriptions with an antibiotic prescribed divided by total number of eligible encounters multiplied by 100 (percentage). Others are the number of prescriptions, in which an injection was prescribed divided by a total number of eligible prescriptions, multiplied by 100 (percentage) and the number of drugs prescribed from the EML (Essential Drug List [EDL]) divided by total number of drugs prescribed, multiplied by 100 (percentage).[27],[28]

To further explore the extent to which the prescriptions met the ideal standards of rational drug prescribing, the five respective WHO core indicators were used to derive the IRDP. We adopted a validated method of indexing,[34] which was also used in a similar report on prescribing pattern for children in India by Atif et al.,[5],[6] and in Sierra Leone by Cole et al.[18] It consists of scores derived from the five components of the WHO prescribing indicators. The ideal or optimal level for each indicator is shown [Table 1].[5],[6],[18] The WHO prescribing indicators were allotted an optimal index score of one such that calculated indices closer to one were considered as more rational prescribing.[5],[6],[18] The polypharmacy index was calculated from the percentage of nonpolypharmacy prescriptions, with prescriptions containing less than four drugs considered as nonpolypharmacy. Generic name and essential drug indices were obtained from the percentage of drugs prescribed by generic name and from the EDL, respectively. The index of rational antibiotic prescribing was obtained by dividing the optimal level (30%) by the percentage of prescriptions containing antibiotic (s). The index of injection use was calculated by dividing the optimal level (10%) by the percentage of prescriptions containing injectable drugs.[5],[6],[18] The IRDP, which has an optimal maximum value of five as shown in [Table 1], was then calculated by adding the five corresponding indices obtained from the results.
Table 1: Optimal scores of prescribing indicators

Click here to view

Computer data entry was carried out into Excel spreadsheet and data analysis was carried out using SPSS version 20 (IBM, Corp., Armonk, NY, USA); results were presented as frequencies and proportions, contingency tables, and charts. Means and percentages were also calculated.

Ethical considerations

Ethical approval was obtained from the facility Institutional Ethics Review Board before commencement of the study.

   Results Top

Demographic features

A total of 3924 prescription orders for children who were managed in the various admission wards within the study period were received at the main hospital pharmacy during the study period, of which 16 that were considered not eligible were excluded from the study. Among the 3908 eligible prescription orders, 60.6% were for males and 32.8% were for infants and 32.6% for toddlers and preschool children aged up to 5 years, with a mean age of 3 years 13 months. The highest proportion of prescriptions was for children seen at the EPU (40.1%) [Table 2].
Table 2: Demographic characteristics of children with eligible prescriptions

Click here to view

Prescription writing formats

Majority of the prescriptions had complete patient biodata written (99.8%), while only 40.3% and 87.4% had names and signatures of the prescribers, respectively [Figure 1]. There were 29.6% of prescriptions that contained just one drug whereas 25.4% contained two drugs and the proportion of prescriptions with 4 or ≥5 drugs were 14.2% and 9.3%, respectively [Figure 2].
Figure 1: Compliance with standard prescription writing format

Click here to view
Figure 2: Number of drugs per prescription

Click here to view

Core prescribing indicators and index of rational drug prescribing

[Table 3] gives a summary of these indicators side by side with previously derived values obtained from studies in Nigeria,[27] compared with the WHO/IRDP standards. While the mean number of drugs per prescription was 2.1, majority (95.5%) of drugs available in the prescription orders were available in the facility EDL. Use of generic names in the prescriptions was observed in 66.6%, whereas 49.5% of encounters contained one or more antibiotics. Encounters that had injectable drugs constituted 67.7%.
Table 3: The WHO core prescribing indicators assessed for drug prescriptions

Click here to view

The IRDP as obtained from the component indices in this study was 2.99. Injection and antibiotic prescribing had the lowest scores (0.15 and 0.44, respectively) while essential drug index had the highest index score (0.96). [Table 4] summarizes the IRDP obtained for all the inpatient prescriptions studied, alongside the ideal standard.[20],[35],[36]
Table 4: Calculated indices of rational drug prescribing

Click here to view

Antibiotic prescriptions

Among the prescription orders containing antibiotics, the average number of antibiotics per encounter was 2.3. Whereas a majority of antibiotic-containing prescription orders had optimum dosages (74.6%) of antibiotics [Figure 1], up to 20.4% and 5% of the prescribed antibiotics were underdose and overdose, respectively. The majority of inpatient prescriptions had a single antibiotic (63%), whereas 3.2% and 0.7% had three or more antibiotics, respectively, as shown in [Table 5], whereas the leading combination of antibiotics prescribed as shown in [Table 6] reveals that β-lactam combinations alone or with gentamicin were the three leading combinations prescribed. [Figure 3] shows the major classes of antibiotics prescribed for children admitted to the ward facilities. Aminoglycosides (particularly gentamicin) were the most common, followed closely by cephalosporins and β-lactam penicillins, whereas the most frequent combination antibiotics were ampicillin-cloxacillin (38.1%).
Figure 3: Most frequently prescribed classes of antibiotics (either as single or in a combination)

Click here to view
Table 5: Number of antibiotics per prescription

Click here to view
Table 6: Most frequent combinations of antibiotic prescribed

Click here to view

   Discussion Top

This study found a high rate of antibiotic use for children, the majority of who were aged 5 years and below, being also predominantly male with about three-quarter admitted in the medical wards. The predominance of the younger age group could be a reflection of the larger infectious disease burden among under-five children,[37] warranting the use of antibiotics. There was also a male preponderance found, which has similarly been observed in previous reports of studies on prescriptions for children admitted in hospitals in Sierra Leone, India, and Ethiopia.[17],[18],[35],[36],[38],[39] It is not clear in our study, the reason for male predominance in the population of children that received prescriptions over the period studied, but male child preference (and selective priority in care for children) as suggested in those studies from India,[35],[36],[38],[39] may also be the reason in the communities served by the facility studied.

The finding of almost a quarter of all prescription orders that contained four or five drugs, suggest a tendency for polypharmacy in the prescribing habits that prevailed in the facility. Furthermore, an average of 2.1 drugs prescribed per patient encounter, being higher than the WHO recommended standard range of 1.6–1.8,[27] is further evidence of that tendency for polypharmacy. The value is, however, much lower than a previously derived finding (3.8) from an earlier study (involving Nigeria) that also established the recommended average for developing countries.[27] Although the WHO standard value was obtained largely from adult outpatient settings across developing countries (with fewer pediatric prescriptions),[27] they remain the only valid reference standards available for such comparison. Compared to what was reported in similar studies in Ethiopia, Sierra Leone, Nigeria, and India,[5],[6],[17],[18],[19],[30],[31],[32] the average of 2.1 drugs per encounter in this study is the lowest even though just slightly above the WHO standard. The difference between the finding in this study and these cited reports could, however, be attributed to differences in study methodology. The use of inpatient treatment chart reviews in some of these studies,[17],[18],[19],[30],[31],[32] perhaps did allow for obtaining the total number of drugs used per patient over the period of their admission, which will tend to give higher average number of drugs than what was obtained with only prescription orders in this study. Polypharmacy could potentially predispose to higher risk of drug–drug interactions and other adverse events.[11],[14],[15] Similarly, redundant medicines within a prescription and use of brand names can add to the financial burden on patients and health-care resources.[4],[11],[12]

The use of generic names in prescription writing, even though an obvious practice found in up to two-thirds of prescriptions analyzed, is still much lower than the WHO standard of 100%. This finding implies that there is a high rate of use of brand names in prescription writing among practitioners in this facility. It may suggest an undue influence of mentors' prescribing habits or that of pharmaceutical sales representatives (as alternative source of drug information available to prescribers). It does also suggest a less than optimal utilization of treatment protocols and the facility EML. In a study of the factors influencing prescribing habits, Oshikoya et al. reported that prescribers mentioned the influence of pharmaceutical sales representatives on their prescribing practices and use of trade names.[26] Generic prescribing has been identified to be much simpler, facilitates communication and clarity between health-care providers and clients, as well as being relatively cheaper than medicines prescribed with brand names.[12],[13],[14] Nevertheless, the proportion of prescriptions with generic names in this study is less than the 71% reported in Sierra Leone,[18] and much higher than the 48.9% reported from India.[17] The relatively higher generic prescribing index obtained in this study could be explained by a relatively better level of compliance by prescribers in using the facility EDL compared to the report from India.[17] It is noteworthy that a great majority of the drugs prescribed were obtained from the facility EDL, which implies that the stock list is robust enough to provide for the needs of most patients. It has been suggested that implementing interventions to monitor and ensure drug prescribing from the EDL, which mostly comprises generics, could mitigate trends in nongeneric prescriptions.[40] This is especially because EMLs are selected from a public health perspective to address priority health-care needs of the population, ensuring efficacy, safety, and comparative cost-effectiveness.[40]

Although the majority of antibiotic prescriptions were found to be accurate in dosage per unit body weight (Kg), significant proportions had doses outside the recommended ranges as provided in both the 2010–2011 British National Formulary for children and the 2013 Emdex Paediatric Drug Guide used in Nigeria.[16],[33] Use of higher doses has implications for safety, with a tendency to cause dose-dependent side effects and adverse drug reactions.[16],[22],[23] Conversely, use of insufficient doses than the recommended could lead to the development of bacterial resistance, poor therapeutic response, and treatment failure. These may also ultimately lead to decision to change antibiotics, thereby adding more costs and prolongation of treatment.[1],[3],[8],[21]

A proportion of close to one-half of all prescription orders containing antibiotics in this study is suggestive of evidence of unnecessary antibiotic use, being over twice as much as the WHO recommended standard. Anyanwu and Arigbe-Osula [19] reported the presence of antibiotics in up to 63.3%–86.6% of inpatient prescriptions of admitted children in a tertiary hospital in southeastern Nigeria, whereas Cole et al.,[18] also reported up to 74.8% of prescriptions containing antibiotics. It could be reasonable to presume that children (especially under-fives) in this study could have received more antibiotics in their prescriptions as a consequence of their vulnerability to infectious disease, which has been recognized in the global epidemiology of child morbidity and mortality.[37]

The smaller proportions of prescriptions containing three or more antibiotics may be partly a reflection of the tendency for polypharmacy discussed earlier. However, the presence of combination drug regimens for tuberculosis with multiple antibacterial agents could also have contributed to these prescriptions with three or more antibiotics.

The rate of injection use is above thrice the WHO recommended and about twice the previously obtained value in Nigeria.[27] The tendency for use of more injections than the ideal is evidence for irrational medicines' use of a public health concern. Apart from its potential to generate hazardous waste, it predisposes to unwarranted pain, promotes the spread of blood-borne infections, development of complications, and promotes microbial resistance.[4] Irrational prescribing of antibiotics and injections increases health-care costs and adds extra strain on the already weak health infrastructure and human resources.[4] In this study, injections were prescribed more than necessary, with 67.7% (IRDP of 0.15) of all prescriptions having at least an injection. Anyanwu and Arigbe-Osula [19] also reported 80%–86% of drugs administered parenterally among pediatric inpatients in a tertiary hospital, with 80%–85.5% of drugs prescribed from the hospital formulary. Comparatively lower injection prescribing rates of 20% were noted in a similar study among admitted children in Sierra Leone,[18] but the rate was up to 96% in Pakistan.[6]

Whereas our finding of the three leading classes of antibiotics prescribed (gentamicin, cephalosporins, and β-Lactam penicillins) appeared similar with those of Anyanwu and Arigbe-Osula,[19] the order of the most common antibiotics was reversed, with cephalosporins, β-Lactam penicillins followed by aminoglycosides, as the three most frequently prescribed antibiotic classes in that study.

Some of the limitations in this study include being purely a descriptive study design. As such, no qualitative component in the methods to determine appropriateness of and underlying factors that influence prescribing, especially for antibiotics and those for trends toward polypharmacy and selective use of parenteral route of administration. There was also no information analyzed for appropriateness of prescribed medications for specific diagnoses, nor laboratory evaluation to justify therapeutic choices of prescribed drugs. Further studies are, therefore, needed to address these gaps.

   Conclusion Top

This study provides baseline information on rational prescribing for children admitted to a teaching hospital, upon which objective comparison could be made with future assessments as part of interventions to monitor and evaluate prescribing practices. The findings reveal evidence of inappropriate prescribing practices, which have potential implications of being passed on as a function of mentorship, teaching, and instructions by senior cadre of staff to medical trainees at various levels. There is, therefore, a pressing need for introduction of antibiotic stewardship programs, with reorientation on evidence-based rational use of medicines for all cadres of physicians in Nigerian teaching hospitals. The need for curriculum review to include comprehensive instruction on the rational use of medicines for undergraduates cannot be overemphasized.


The authors would like to express special gratitude to the intern pharmacists that were involved in collecting data for the study.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.

   References Top

Antimicrobial Resistance 2014. Geneva: World Health Organisation; 2014. Available from: [Last accessed on 2017 Mar 03].  Back to cited text no. 1
Hart CA, Kariuki S. Antimicrobial resistance in developing countries. BMJ 1998;317:647-50.  Back to cited text no. 2
Byarugaba DK. A view on antimicrobial resistance in developing countries and responsible risk factors. Int J Antimicrob Agents 2004;24:105-10.  Back to cited text no. 3
World Health Organization. Promoting Rational Use of Medicines: Core Components – WHO Policy Perspectives on Medicines; 2002. Available from: http://www.apps. [Last accessed on 2016 Oct 18].  Back to cited text no. 4
Atif M, Sarwar MR, Azeem M, Umer D, Rauf A, Rasool A, et al. Assessment of WHO/INRUD core drug use indicators in two tertiary care hospitals of Bahawalpur, Punjab, Pakistan. J Pharm Policy Pract 2016;9:27.  Back to cited text no. 5
Atif M, Azeem M, Sarwar MR, Shahid S, Javaid S, Ikram H, et al. WHO/INRUD prescribing indicators and prescribing trends of antibiotics in the accident and emergency department of Bahawal Victoria hospital, Pakistan. Springerplus 2016;5:1928.  Back to cited text no. 6
Hashemi S, Nasrollah A, Rajabi M. Irrational antibiotic prescribing: A local issue or global concern? EXCLI J 2013;12:384-95.  Back to cited text no. 7
Antimicrobial Resistance: Global Report on Surveillance. Geneva: World Health Organisation; 2014. Available form: [Last accessed on 2017 Jan 19].  Back to cited text no. 8
Aronson JK. Medication errors: Definitions and classification. Br J Clin Pharmacol 2009;67:599-604.  Back to cited text no. 9
Cizman M. The use and resistance to antibiotics in the community. Int J Antimicrobial Agents 2003;21:297-307.  Back to cited text no. 10
Federal Ministry of Health Nigeria, World Health Organisation. National Drug Policy; 2005. Available from: [Last accessed on 2017 Jun 20].  Back to cited text no. 11
Aronson JK. Balanced prescribing. Br J Clin Pharmacol 2006;62:629-32.  Back to cited text no. 12
Patel I, Balkrishnan R. Medication error management around the globe: An overview. Indian J Pharm Sci 2010;72:539-45.  Back to cited text no. 13
[PUBMED]  [Full text]  
Stuckey ER (for the American Academy of Pediatrics Committee on Drugs and American Academy of Pediatrics Committee on Hospital Care). Prevention of medication errors in the pediatric inpatient setting. Pediatrics 2003;112:431-6.  Back to cited text no. 14
Miller MR, Robinson KA, Lubomski LH, Rinke ML, Pronovost PJ. Medication errors in paediatric care: A systematic review of epidemiology and an evaluation of evidence supporting reduction strategy recommendations. Qual Saf Health Care 2007;16:116-26.  Back to cited text no. 15
British Medical Association, the Royal Pharmaceutical Society of Great Britain, Royal College of Paediatrics and Child Health, Neonatal and Paediatric Pharmacists Group. British National Formulary for Children. UK: BMJ Publishing Group; 2010. ISBN: 978 0 85369 959 0. Available form: [Last accessed on 2017 Jan 20].  Back to cited text no. 16
Deshmukh SN, Mahajan MM. A study of prescription pattern of antibiotics in paediatric in-patients at a tertiary care hospital in central India. Int J Pharm Res 2016;6:286-90.  Back to cited text no. 17
Cole CP, James PB, Kargbo AT. An evaluation of the prescribing patterns for under-five patients at a tertiary paediatric hospital in Sierra Leone. J Basic Clin Pharma 2015;6:109-14.  Back to cited text no. 18
[PUBMED]  [Full text]  
Anyanwu N, Arigbe-Osula M. Pattern of antibiotic use in a tertiary hospital in Nigeria. Eur J Hosp Pharm Sci Pract 2012;19:195.  Back to cited text no. 19
The World drug Situation. Geneva: World Health Organization; 1988. Available from: [Last accessed on 2016 Sep 07].  Back to cited text no. 20
Barnett A, Creese AL, Ayivor EC. The economics of pharmaceutical policies in Ghana. Int J Health Serv 1980;10:479-99.  Back to cited text no. 21
Spino M, Sellers EM, Kaplan HL. Effect of adverse drug reactions on the length of hospitalization. Am J Hosp Pharm 1978;35:1060-4.  Back to cited text no. 22
Bergman U, Wiholm BE. Drug-related problems causing admission to a medical clinic. Eur J Clin Pharmacol 1981;20:193-200.  Back to cited text no. 23
Ljungberg C1, Lindblad AK, Tully MP. Hospital doctors' views of factors influencing their prescribing. J Eval Clin Pract 2007;13:765-71.  Back to cited text no. 24
De Souza V, MacFarlane A, Murphy AW, Hanahoe B, Barber A, Cormican M, et al. Aqualitative study of factors influencing antimicrobial prescribing by non-consultant hospital doctors. J Antimicrob Chemother 2006;58:840-3.  Back to cited text no. 25
Oshikoya KA, Oreagba I, Adeyemi O. Sources of drug information and their influence on the prescribing behaviour of doctors in a teaching hospital in Ibadan, Nigeria. Pan Afr Med J 2011;9:13.  Back to cited text no. 26
World Health Organisation. How to Investigate Drug Use in Health Facilities: Selected Drug Use Indicators – EDM Research Series No. 007. WHO/DAP/93.1. Geneva: World Health Organisation; 1993.  Back to cited text no. 27
World Health Organization. International conference for improving the use of medicines. Essential Drugs Monitor 1997;23:6-12.  Back to cited text no. 28
Hogerzeil HV, Bimo Ross-Degnan D, Laing RO, Ofori-Adjei D, Santoso B, et al. Field tests for rational drug use in twelve developing countries. Lancet 1993;342:1408-10.  Back to cited text no. 29
Nduka SO, Edebeatu C, Isidienu CP, Amorha KC. Prescribing practices for pediatric out-patients: A case study of two teaching hospitals in Nigeria. Trop J Pharm Res 2017;16:705-11.  Back to cited text no. 30
Oshikoya KA, Chukwura HA, Ojo OI. Evaluation of outpatient paediatric drug prescriptions in a teaching hospital in Nigeria for rational prescribing. Paediatr Perinat Drug Ther 2006;7:183-8.  Back to cited text no. 31
Nwolisa CE, Erinaugha EU, Ofoleta SI. Prescribing practices of doctors attending to under fives in a children's outpatient clinic in Owerri, Nigeria. J Trop Pediatr 2005;52:197-200.  Back to cited text no. 32
Obi CC. Anti-infective drugs. In: Emdex Paediatric Drug Guide (based on WHO Model list of Essential Medicines for Children). Mississaugu, ON.: Chris 5ive Consulting Inc., Canada (Publishers); 2013. p. 313-90.  Back to cited text no. 33
Zhang Y, Zhi M. Index system, appraising method for comprehensive appraisal. J North Jiaotong Univ 1995;19:393-400.  Back to cited text no. 34
Choudhury DK, Bezbaruah BK. Antibiotic prescriptions pattern in paediatric in-patient department Guwahati medical college and hospital, Guwahati, India. J Appl Pharm Sci 2013;3:144-8.  Back to cited text no. 35
Ravika K, Kanchan G, Shivani J, Bains HS, Sandeep K. Prescribing pattern of antibiotics in the department of paediatrics in tertiary care medical college hospital in Northern India. Asian J Med Sci 2014;5:69-72.  Back to cited text no. 36
Liu L, Oza S, Hogan D, Perin J, Rudan I, Lawn JE, et al. Global, regional, and national causes of child mortality in 2000–13, with projections to inform post-2015 priorities: An updated systematic analysis. Lancet 2015;385:430-40.  Back to cited text no. 37
Abula T, Desta Z. Prescribing pattern of drugs in pediatric wards of three Ethiopian hospitals. Ethiop J Health Dev 1999;13:135-40.  Back to cited text no. 38
Narayanan DS, Mangesh MM. A study of prescription pattern of antibiotics in paediatric inpatients at a tertiary care hospital in Central India. Int J Pharmacol Res 2016;6:286-90.  Back to cited text no. 39
Laing R, Waning B, Gray A, Ford N, 't Hoen E. 25 years of the WHO essential medicines lists: Progress and challenges. Lancet 2003;361:1723-9.  Back to cited text no. 40


  [Figure 1], [Figure 2], [Figure 3]

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]

This article has been cited by
1 The magnitude of prescribing medicines by brand names in a tertiary hospital, Mwanza, Tanzania
Stanley Mwita, Brigitte Mchau, Winfrida Minja, Deogratias Katabalo, Kayo Hamasaki, Karol Marwa
The Journal of Medicine Access. 2022; 6: 2755083422
[Pubmed] | [DOI]
2 Combating the menace of antimicrobial resistance in Africa: a review on stewardship, surveillance and diagnostic strategies
Bashar Haruna Gulumbe, Usman Abubakar Haruna, Joseph Almazan, Ibrahim Haruna Ibrahim, Abdullahi Adamu Faggo, Abbas Yusuf Bazata
Biological Procedures Online. 2022; 24(1)
[Pubmed] | [DOI]
3 Inappropriate use of antibiotics and its predictors in pediatric patients admitted at the Central Hospital of Nampula, Mozambique
Sancho Pedro Xavier, Audêncio Victor, Graciano Cumaquela, Melsequisete Daniel Vasco, Osiyallê Akanni Silva Rodrigues
Antimicrobial Resistance & Infection Control. 2022; 11(1)
[Pubmed] | [DOI]
4 Evaluation of Antibiotic Prescribing Pattern and Appropriateness among Hospitalized Pediatric Patients: Findings from a Malaysian Teaching Hospital
Muhammad Eid Akkawi, Randa Mahmoud Taffour, Abdulkareem Mohammed AL-Shami
Infectious Disease Reports. 2022; 14(6): 889
[Pubmed] | [DOI]
5 Application of Nanomaterials in the Prevention, Detection, and Treatment of Methicillin-Resistant Staphylococcus aureus (MRSA)
John Hulme
Pharmaceutics. 2022; 14(4): 805
[Pubmed] | [DOI]
6 Evaluation of antibiotic prescribing pattern in pediatrics in a tertiary care hospital
Rinta Mathew, Humera Sayyed, Subhashree Behera, Keemya Maleki, Sunita Pawar
Avicenna Journal of Medicine. 2021; 11(01): 15
[Pubmed] | [DOI]
7 Antibiotic Prescription Patterns for Hospitalized Children Under 12 Years in a Tertiary Referral Teaching Hospital, Kerman, Iran
Gholamreza Sepehri, Mahnaz Amiri, Ali Hosseininasab
Zahedan Journal of Research in Medical Sciences. 2021; 23(1)
[Pubmed] | [DOI]
8 Addressing antimicrobial resistance in Nigerian hospitals: exploring physicians prescribing behavior, knowledge, and perception of antimicrobial resistance and stewardship programs
Adefunke O Babatola, Joseph O Fadare, Oladele S Olatunya, Reginald Obiako, Okezie Enwere, Aubrey Kalungia, Temitope O Ojo, Taofiki A Sunmonu, Olufemi Desalu, Brian Godman
Expert Review of Anti-infective Therapy. 2021; 19(4): 537
[Pubmed] | [DOI]
9 Fixed-dose combination antibiotics: The search for evidence using the example of ampicillin–cloxacillin
Ben Sayer, Barbara Bortone, Mike Sharland, Yingfen Hsia
British Journal of Clinical Pharmacology. 2021; 87(7): 2996
[Pubmed] | [DOI]
10 Implementation of antimicrobial stewardship programmes in African countries: a systematic literature review
Mary Richard Akpan, Nsisong Udom Isemin, Arit Esio Udoh, Diane Ashiru-Oredope
Journal of Global Antimicrobial Resistance. 2020; 22: 317
[Pubmed] | [DOI]
11 Knowledge, attitude and antibiotic prescribing patterns of medical doctors providing free healthcare in the outpatient departments of public hospitals in Sierra Leone: a national cross-sectional study
John Alimamy Kabba, Nigatu Tadesse, Peter Bai James, Herbart Kallon, Chenai Kitchen, Naveel Atif, Minghuan Jiang, Khezar Hayat, Mingyue Zhao, Caijun Yang, Jie Chang, Yu Fang
Transactions of The Royal Society of Tropical Medicine and Hygiene. 2020; 114(6): 448
[Pubmed] | [DOI]


    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

  In this article
    Materials and Me...
    Article Figures
    Article Tables

 Article Access Statistics
    PDF Downloaded24    
    Comments [Add]    
    Cited by others 11    

Recommend this journal