
==== Front
J Int Med Res
J Int Med Res
IMR
spimr
The Journal of International Medical Research
0300-0605
1473-2300
SAGE Publications Sage UK: London, England

39238436
10.1177/03000605241274513
10.1177_03000605241274513
Observational Study
Antibiotic prescription patterns in the emergency department of a tertiary healthcare center in Nepal: a descriptive cross-sectional study
Basnet Samjhana 1
Koju Pramesh 2
https://orcid.org/0000-0002-6873-7979
Silwal Prabhat 2
Karki Aashish 2
Mainali Sumina 2
Sapkota Prakash 3
Madhup Surendra Kumar 4
Shrestha Sanu Krishna 1
1 Department of General Practice and Emergency Medicine, Dhulikhel Hospital, 92962 Kathmandu University School of Medical Sciences , Kavrepalanchowk, Nepal
2 Dhulikhel Hospital, 92962 Kathmandu University School of Medical Sciences , Kavrepalanchowk, Nepal
3 Department of Internal Medicine, Dhulikhel Hospital, 92962 Kathmandu University School of Medical Sciences , Kavrepalanchowk, Nepal
4 Department of Microbiology, Dhulikhel Hospital, 92962 Kathmandu University School of Medical Sciences , Kavrepalanchowk, Nepal
Prabhat Silwal, Dhulikhel Hospital, Kathmandu University School of Medical Sciences, Dhulikhel, Kavrepalanchowk 45210, Nepal. Email: silwal.prabhat.17@gmail.com
9 2024
6 9 2024
52 9 0300060524127451313 3 2024
22 7 2024
© The Author(s) 2024
2024
SAGE Publications
https://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Objective

To describe antibiotic prescription patterns in the emergency department (ED) of a tertiary healthcare center in Nepal.

Methods

This was a descriptive cross-sectional study of hospital records of patients who visited the ED.

Results

Of the 758 ED patients included in the study, 384 (50.6%) received a total of 536 antibiotic prescriptions. Common indications for antibiotic prescriptions included respiratory infection (37.5%), gastrointestinal infection (19.3%), urinary infection (10.4%), and prophylaxis (29.9%). Antibiotics listed as essential in the National List of Essential Medicines (NLEM) and generic formulations were used in 77.1% and 61.9% of the antibiotic prescriptions, respectively. Injectable antibiotics were prescribed to 54.9% of the 384 patients. Frequently prescribed antibiotics included ceftriaxone (34.1%), metronidazole (18.5%), amoxicillin + clavulanic acid (15.9%), and cefixime (14.3%). Bacterial culture testing was performed in 15.1% of the patients who received antibiotics.

Conclusions

This study showed that overuse of antibiotics, prescription of branded antibiotics, prescription of antibiotics not listed in the NLEM, prophylactic use of antibiotics, and empirical treatment of suspected infections without isolation of pathogens were all prevalent. We recommend more research to determine the causes underlying these practices and develop interventions to limit such practices.

Antibacterial agent
prescription pattern
infectious disease
emergency department
cross-sectional study
antibiotic
hospital record
typesetterts2
==== Body
pmcIntroduction

In 2002, the World Health Organization (WHO) reported that more than 50% of all medicines are prescribed, dispensed or sold inappropriately, and 50% of patients do not take medications correctly. 1 Such inappropriate use of medicines, particularly antibiotics, leads to poor patient outcomes, adverse drug reactions, antimicrobial resistance (AMR), and higher total healthcare system costs. 1

AMR is one of the most worrying consequences of inappropriate antibiotic use. 2 The problem is compounded by the paucity of new antibiotic drugs being developed. The development of AMR eventually leads to substantial human morbidity, mortality, and economic burden. 2

Monitoring antibiotic prescribing patterns is essential to identify and describe the problem of inappropriate antibiotic use. It can also help to guide measures to promote appropriate use of antibiotics and to assess the effect of those measures. 1 Hence, collecting and reporting data on the use of antimicrobial agents in humans is part of the WHO Global Action Plan on Antimicrobial Resistance. 3

In Nepal, prescription of antibiotics by under-qualified health workers, inappropriate use of antibiotics, unregulated dispensing of antibiotics, and self-medication of antibiotics without prescription are all prevalent practices. 4 Consequently, a progressive increase in antibiotic resistance has been reported in Nepal. 5

The emergency department (ED) setting presents a unique set of circumstances in relation to antibiotic prescription. A substantial proportion of ED visits are prompted by infections, 6 so antibiotics are one of the most frequently prescribed medications in the ED. 6 Patients presenting to the ED may have life-threatening infections that require prompt intervention. These patients are frequently considered for empirical antibiotic administration before the causative microorganism has been cultured and identified. 6 An empirical antibiotic is usually selected after considering possible causative pathogens and their patterns of resistance in the local population.

Some community-based and hospital-based studies conducted in Nepal have reported on antibiotic usage. 5 However, a search in the PubMed database failed to identify any studies carried out in Nepal on antibiotic prescription patterns in ED settings. In this study, we aimed to determine the prevalence and describe the patterns of antibiotic prescription in the ED of a tertiary healthcare center in Nepal.

Materials and methods

Study design and setting

This was a descriptive cross-sectional study of hospital records of patients who presented to the ED of a tertiary healthcare center in Nepal from 1 February 2023 to 31 July 2023. Ethical approval was obtained from Kathmandu University School of Medical Sciences Institutional Review Committee (approval number 248/22). The study protocol conforms to the ethical guidelines of the Declaration of Helsinki of 1975, as revised in 2013. This study adhered to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines. 7 All participants provided written informed consent.

Study participants and selection criteria

A systematic sampling method was used. Patients were enrolled in the study on every eighth day. All eligible patients who presented to the ED on that day were included. We excluded the records of patients aged less than 1 years. We also excluded records of patients presenting to the Obstetric and Gynecological ED, which is a separate unit at our center.

Data collection

Patient records were reviewed and relevant data were collected. Data collection was carried out by five ED medical officers. Two sessions were conducted by the ED faculty team, which included the principal investigator, to train the physicians responsible for data collection. The training sessions covered the purpose of the study, data extraction, and the format of recording prescription information. At the end of the sessions, a practice exercise was conducted in which each individual independently recorded the data of 10 patients under supervision. Each session lasted for approximately 2 hours. Once per week, follow-up sessions lasting approximately 1 hour each were conducted to guide and monitor the physicians responsible for data collection. A standardized patient information collection form was used to collect the data. Data were then entered into a spreadsheet in IBM SPSS Statistics for Windows, Version 27.0 (IBM Corp., Armonk, NY, USA). The confidentiality and anonymity of the patients were maintained during the process of retrieving the data from the records. The record files are maintained under password protection by the principal investigator.

Study variables

The variables analyzed were age, sex, indication for antibiotic use, names of antibiotics used, routes of administration, and bacterial culture report.

Operational definitions

Antibiotics

The WHO guideline on investigation of drug use in health facilities was followed. 8 Drugs classified as penicillin, other antibacterials (such as sulfa drugs), anti-infective dermatologics, anti-infective ophthalmic agents, and anti-diarrheals with antibiotics in the WHO Model List of Essential Drugs were counted as antibiotics. However, antileprotics, antituberculotics, antimalarials, antifungals, antiprotozoals, and anthelmintics were not considered to be antibiotics. 8

Essential drugs

These were defined as those drugs listed as essential in the 2021 Nepal National List of Essential Medicines (NLEM). 9

Generic names

Generic drugs were determined according to the list of generic drug names in the Nepal NLEM. 9

Study size

The sample size was calculated based on the standard formula 10 for cross-sectional studies: n = Z*P*(1−P)/d2, where Z is 1.96 for a 95% level of confidence, P is the estimated proportion of the prevalence of the primary outcome, taken as 50% for maximum sample size calculation, and d is the desired level of precision, which was set at 0.05. The calculated sample size was 384. We also considered that the WHO recommends a sample size of 600 patient encounters when investigating drug use in health facilities. 8 A total of 758 eligible patients presented to the ED during the study period and we included all their records in this study.

Statistical analysis

Continuous variables were described in terms of mean, 95% confidence interval, standard deviation, and range. Categorical variables were reported as frequencies and percentages. All statistical analyses were performed using the IBM SPSS Statistics for Windows, Version 27.0 (IBM Corp., Armonk, NY, USA).

Results

Of 758 eligible patients who presented to the ED during the study period, 384 (50.6%) were prescribed at least one antibiotic. Only the records of these 384 patients were included in the subsequent analyses. The age of patients who were prescribed antibiotics ranged from 1 to 100 years. The median age was 50 years with an interquartile range of 41 years. Among the patients prescribed antibiotics, 208 (54.2%) were men and 176 (45.8%) were women; the male-to-female ratio was 1.18:1.

Indications for antibiotic prescriptions included respiratory infection (n = 144, 37.5%), gastrointestinal infection (n = 74, 19.3%), urinary infection (n = 40, 10.4%), bacterial meningitis (n = 5, 1.3%), skin infection (n = 4, 1.0%), sexually transmitted infection (n = 2, 0.5%), and prophylactic use (n = 115, 29.9%). These findings are illustrated in Figure 1.

Figure 1. Indications for antibiotic use in the study participants (n = 384).

Of the 384 (50.6%) patients who were prescribed at least one antibiotic, 256 (66.7%) were prescribed a single antibiotic, 105 (27.3%) were prescribed two antibiotics, 22 (5.7%) were prescribed three antibiotics, and 1 (0.3%) was prescribed four antibiotics.

A total of 536 antibiotic prescriptions were made for the 384 patients. Of these 536 prescriptions, 413 (77.1%) used antibiotics listed in the Nepal NLEM. Of the antibiotic prescriptions, 332 (61.9%) used generic antibiotics.

Of the 384 patients, 211 (54.9%) received at least one antibiotic through an intravenous (parenteral) route. Of the total 536 antibiotic prescriptions, 275 (51.3%) were intravenous (parenteral) antibiotics, 247 (46.1%) were oral antibiotics, and 14 (2.6%) were topically administered. Figure 2 shows the various routes used in antibiotic prescriptions.

Figure 2. Routes used in antibiotic prescriptions (n = 536).

The antibiotics that were used in the study population (n = 384) were as follows: ceftriaxone (n = 131, 34.1%), metronidazole (n = 71, 18.5%), amoxicillin + clavulanic acid (n = 61, 15.9%), cefixime (n = 55, 14.3%), azithromycin (n = 49, 12.8%), cefuroxime (n = 49, 12.8%), ciprofloxacin (n = 42, 10.9%), mupirocin (n = 14, 3.6%), doxycycline (n = 14, 3.6%), flucloxacillin (n = 14, 3.6%), cefotaxime (n = 9, 2.3%), piperacillin + tazobactam (n = 6, 1.6%), nitrofurantoin (n = 5, 1.3%), amoxicillin (n = 3, 0.8%), amikacin (n = 3, 0.8%), moxifloxacin (n = 3, 0.8%), clindamycin (n = 2, 0.5%), meropenem (n = 2, 0.5%), levofloxacin (n = 1, 0.3%), ampicillin + cloxacillin (n = 1, 0.3%), and clarithromycin (n = 1, 0.3%). The prevalence of use of various antibiotics in the study population is shown in Figure 3.

Figure 3. Antibiotics frequently used among the study participants (n = 384).

Bacterial culture and antibiotic susceptibility testing were performed in 58 (15.1%) patients. The specimens used were urine (n = 23, 39.7%), sputum (n = 16, 27.6%), blood (n = 14, 24.1%), ascitic fluid (n = 3, 5.2%), and throat swab (n = 2, 3.4%). Of the 58 culture specimens, pathogenic organisms were isolated in 11 (18.9%). Isolated organisms included Escherichia coli (n = 6), Staphylococcus aureus (n = 2), Enterococcus (n = 1), Klebsiella (n = 1), and yeast (n = 1).

Discussion

We report that 50.6% of the patients who presented to the ED were prescribed at least one antibiotic. Other studies conducted in Nepal have reported that the percentage of patient encounters with at least one antibiotic prescription was 43.95% in an outpatient setting 11 and 44.7% in public health facilities in one district. 12 Frequent use of empirical antibiotics in the ED setting may have contributed to the higher prevalence of antibiotic use reported in our study. 6 Notably, the percentage of patients who are prescribed antibiotics should ideally be less than 30%, according to the WHO. 13

In the study population, common indications for antibiotic prescriptions were respiratory infection, gastrointestinal infection, and urinary infection. Similar findings have been reported in studies conducted in other hospitals in Nepal.11,14 In a study conducted in the United Arab Emirates, common indications for antibiotic prescription were respiratory infection (34.83%), urinary infection (34.19%), sepsis (14.83%), and gastrointestinal infection (7.09%). 15 However, in some studies, skin infection is the most common indication of antibiotic use.16,17 We attribute this disparity to the local epidemiological conditions and variations in patient populations visiting the respective hospitals, among other factors.

Among the patients who were prescribed antibiotics, one, two, three, and four antibiotics were prescribed to 66.7%, 27.3%, 5.7%, and 0.3% of patients, respectively. Another study conducted in Nepal 18 reported an even higher proportion of patients receiving multiple antibiotics. However, use of multiple antibiotics was less prevalent in studies conducted in Jordan 19 and Turkey 20 than in the present study. Lack of knowledge about appropriate antibiotic prescribing and the need for broad antibiotic coverage in settings where isolation of pathogens is not feasible are possible explanations for these findings.

In the present study, 77.1% of the prescribed antibiotics are mentioned in the NLEM of Nepal. This proportion is higher than that reported in another study carried out in a hospital in western Nepal (67.1%). 21 However, an even higher proportion was reported in a study from Guyana (91%). 22 According to the WHO, all prescriptions should be made according to the NLEM. 13 Prescribing drugs included in the NLEM is a key aspect of appropriate prescribing.1,22 Such prescribing would help to increase the availability and cost-effectiveness of medicines. In addition, the prescribed medicines would be appropriate for local disease occurrence and drug resistance patterns.1,9 The development of the NLEM took into consideration national guidelines. 1 Therefore, the proportion of drugs prescribed from the NLEM may represent a measure of the level of compliance of physicians to national guidelines.

We found that 61.9% of the antibiotic prescriptions used generic antibiotics. The proportion of generic antibiotics prescribed was 30% in a study from Guyana. 22 The WHO recommends an optimal generic prescribing rate of 100%. 13 Advertisements, the influence of pharmaceutical companies and physician beliefs that branded drugs are superior to generic drugs may be some of the reasons why branded antibiotics are prescribed.11,24 However, the use of branded rather than generic drugs can lead to increased treatment costs, confusion about drug terminology, barriers in communication among healthcare providers, and adverse drug events. 24

In this study, 54.9% of patients received intravenous (parenteral) antibiotics. Other subtypes of parenteral drug administration were not used. Patients in the ED generally require rapid intervention. Moreover, oral absorption of drugs may not be reliable in some patients presenting to the ED. Hence, intravenous or other parenteral routes of drug administration are used more frequently in the ED than in some other healthcare settings. Previous studies have reported even higher proportions of injectable antibiotic use in hospitals in South Africa (85.25%), 17 northern India (71%), 25 and Eritrea (81.4%). 26 In contrast, a study conducted in an outpatient setting in Nepal reported a much lower use of injectable antibiotics (5.06%). 11 Overuse of injectable antibiotics is also inappropriate and should be avoided. 1

In the present study, the most frequently prescribed antibiotics were ceftriaxone (34.1%), metronidazole (18.5%), amoxicillin + clavulanic acid (15.9%), cefixime (14.3%), azithromycin (12.8%), cefuroxime (12.8%), and ciprofloxacin (10.9%). In another study conducted in the public health facilities in one district of Nepal, the most frequently prescribed antibiotics were ceftriaxone (22.9%), amoxicillin (16.6%), metronidazole (12.5%), ciprofloxacin (11.4%), and cotrimoxazole (7.2%). 12 Ceftriaxone was found to be the most commonly prescribed antibiotic in several other studies conducted in Nepal. 5 A study from Pakistan reported the most frequently used antibiotics to be ceftriaxone (71.8%), cefotaxime (5.6%), metronidazole (4.7%), amoxicillin (4.7%), and ciprofloxacin (4.2%). 2 In contrast, a study carried out in Ethiopia reported the most commonly prescribed antibiotics to be amoxicillin (16.4%), ampicillin (15.0%), gentamicin (14.9%), and chloramphenicol (11.6%). 23

According to the 2023 National Antimicrobial Treatment Guidelines of Nepal, the use of ceftriaxone is recommended in patients with several diseases, including acute bacterial meningitis, severe community-acquired pneumonia, nosocomial pneumonia, enteric fever, gonorrhea, abscess, wound infection, acute appendicitis, acute cholecystitis, puerperal sepsis, postabortal infection, pelvic inflammatory disease, cervical discharge, urethral discharge, and scrotal swelling.9,27 The widespread recommendations for ceftriaxone, as well as its broad spectrum of antibacterial activity, low toxicity, and easy availability may help to explain its frequent use. 28 However, heavy use of cephalosporins such as ceftriaxone can lead to the development and multiplication of antimicrobial-resistant microorganisms. 28

In the present study, a significant proportion (29.9%) of antibiotic prescriptions were for infection prophylaxis. Prophylactic antibiotics are used in our ED for some patients presenting with trauma, snake bites, burns, and before surgical interventions. Previous hospital-based studies have reported the proportion of prophylactic antibiotic use to be 30.9% in central Nepal, 11 5.9% in western Nepal, 21 and 20.4% in northern India. 25

In the present study, bacterial culture and antibiotic susceptibility testing was conducted in 15.1% of the patients who underwent treatment with antibiotics. A study carried out in another hospital in Nepal reported bacterial culture testing in 19.8% of cases. 18 In a hospital in northern India, culture and sensitivity tests were performed in 34.7% of patients undergoing antibiotic therapy. 25 In cases of suspected infections treated with antibiotics, the National Antimicrobial Treatment Guidelines recommend ensuring that relevant microbiological tests are performed. 27 However, low utilization of bacterial culture and sensitivity tests, as in our case, can lead to prolonged and extensive use of broad-spectrum antibiotics instead of narrow-spectrum antibiotics. 29 This ultimately leads to the development of AMR and increased treatment costs.

Limitations

This study was conducted in the ED of a single healthcare center, so the findings may not be generalizable to other healthcare settings or the general population of Nepal. The study period was 6 months; therefore, we did not take into account seasonal variations in disease prevalence and antibiotic use. As reported above, microbiological tests to isolate the pathogens were not performed in most cases before initiation of antibiotics. Therefore, we were unable to report on the appropriateness of prescriptions and the antibiotic susceptibility pattern. However, we believe that these findings provide key insights that will help to clarify antibiotic prescribing patterns in Nepal.

Conclusions

This study adds to the body of knowledge related to antibiotic use in Nepal and other developing countries. We report that overuse of antibiotics, prescription of branded antibiotics, prescription of antibiotics not listed in the NLEM, prophylactic use of antibiotics and empirical treatment of suspected infections without isolation of pathogens are all prevalent in Nepal.

We recommend that more research be carried out to determine the reasons for inappropriate prescribing practices, and the development of targeted measures to promote appropriate prescription of antibiotics. Furthermore, we recommend further surveillance and assessment of antibiotic use at healthcare facilities to quantify antibiotic use patterns. Measures to improve access and compliance to the NLEM as well as national guidelines are also warranted.

Acknowledgements

We would like to thank all the hospital emergency department staff for their direct and indirect contributions to this study.

Data availability statement

Data generated or used in this study are available from the corresponding author on reasonable request.

Author contributions: Samjhana Basnet conceptualized, designed and supervised the study. Aashish Karki and Sumina Mainali collected the data. Prabhat Silwal carried out the analysis. All the authors were involved in the interpretation of the results. Prabhat Silwal wrote the first draft of the manuscript. All the authors were involved in the preparation and review of subsequent drafts. All authors approved the final draft for publication.

The authors declare that there is no conflict of interest.

Funding: This study received no specific grants from any funding agency in the public, commercial or not-for-profit sectors.

ORCID iD: Prabhat Silwal https://orcid.org/0000-0002-6873-7979
==== Refs
References

1 World Health Organization. Promoting rational use of medicines: core components. World Health Organization, 2002. Available from: https://scholar.google.com/scholar_lookup?title=Promoting+Rational+Use+of+Medicines:+Core+Components&publication_year=2002 (Accessed Jan 23 2024).
2 Atif M Azeem M Sarwar MR , 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. Available from: 10.1186/s40064-016-3615-1.27933228
3 World Health Organization. Global action plan on antimicrobial resistance. World Health Organization, 2015. Available from: https://www.who.int/publications/i/item/9789241509763 (Accessed Jan 23 2024).
4 Pokharel S Adhikari B. Antimicrobial resistance and over the counter use of drugs in Nepal. J Glob Health 2020; 10 : 010360. Available from: 10.7189/jogh.10.010360.32566152
5 Ghimire K Banjara MR Marasini BP , et al . Antibiotics prescription, dispensing practices and antibiotic resistance pattern in common pathogens in Nepal: a narrative review. Microbiol Insights 2023; 16 : 11786361231167239. Available from: 10.1177/11786361231167239.37066121
6 Harrison RF Ouyang H. Fever and the rational use of antimicrobials in the emergency department. Emerg Med Clin North Am 2013; 31 : 945–968. Available from: 10.1016/j.emc.2013.07.007.24176473
7 Von Elm E Altman DG Egger M , et al . The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008; 61 : 344–349. Available from: 10.1016/j.jclinepi.2007.11.008.18313558
8 World Health Organization. How to Investigate Drug Use in Health Facilities: selected drug use indicators. World Health Organization, 1993. Available from: https://iris.who.int/handle/10665/60519 (Accessed Jan 23 2024).
9 Ministry of Health and Population, Government of Nepal. National List of Essential Medicines (NLEM). 2021. Available from: https://www.dda.gov.np/content/essential-drug-list (Accessed Jan 23 2024).
10 Pourhoseingholi MA Vahedi M Rahimzadeh M. Sample size calculation in medical studies. Gastroenterol Hepatol Bed Bench 2013; 6 : 14–17. Available from: https://www.ncbi.nlm.nih.gov/pubmed/24834239 (Accessed Jan 23 2024).24834239
11 Kumar J Shaik MM Kathi MC , et al . Prescribing indicators and pattern of use of antibiotics among medical outpatients in a teaching hospital of Central Nepal. J Coll Med Sci-Nepal 2010; 6 : 7–13. Available from: https://www.nepjol.info/index.php/JCMSN/article/view/3610 (Accessed Jan 23 2024).
12 Nepal A Hendrie D Robinson S , et al . Analysis of patterns of antibiotic prescribing in public health facilities in Nepal. J Infect Dev Ctries 2020; 14 : 18–27. Available from: 10.3855/jidc.11817.32088680
13 Ofori-Asenso R. A closer look at the World Health Organization’s prescribing indicators. J Pharmacol Pharmacother 2016; 7 : 51–54. Available from: 10.4103/0976-500X.179352.27127400
14 Thapaliya K Shrestha S Bhattarai S , et al . Prescribing pattern of antibiotics in pediatric hospital in Chitwan district in Nepal. World J Phar Pharm Sci 2015; 4 : 1631–1641. Available from: https://www.researchgate.net/publication/287198775_PRESCRIBING_PATTERN_OF_ANTIBIOTICS_IN_PEDIATRIC_HOSPITAL_IN_CHITWAN_DISTRICT_IN_NEPAL (Accessed Jan 23 2024).
15 Nawa AIA Shareef J Rao PGM , et al . Assessment of drug utilization pattern of antimicrobial agents in hospitalized patients with infectious diseases: a cross-sectional study in the United Arab Emirates. J Adv Pharm Technol Res 2023; 14 : 299–305. Available from: 10.4103/japtr.japtr_79_23.38107453
16 Denny KJ Gartside JG Alcorn K , et al . Appropriateness of antibiotic prescribing in the emergency department. J Antimicrob Chemother 2019; 74 : 515–520. Available from: 10.1093/jac/dky447.30445465
17 Almansoori N Parag N. Antibiotic prescribing patterns in emergency department at regional hospital in South Africa. Afr Health Sci 2021; 21 : 1651–1661. Available from: 10.4314/ahs.v21i4.19.35283967
18 Palikhe N. Prescribing pattern of antibiotics in paediatric hospital of Kathmandu valley. Kathmandu Univ Med J 2004; 2 : 6–12. Available from: https://www.ncbi.nlm.nih.gov/pubmed/19780281 (Accessed Jan 23 2024).
19 Al-Niemat SI Aljbouri TM Goussous LS , et al . Antibiotic prescribing patterns in outpatient emergency clinics at Queen Rania Al Abdullah II Children’s Hospital, Jordan, 2013. Oman Med J 2014; 29 : 250–254. Available from: 10.5001/omj.2014.67.25170404
20 Erbay A Colpan A Bodur H , et al . Evaluation of antibiotic use in a hospital with an antibiotic restriction policy. Int J Antimicrob Agents 2003; 21 : 308–312. Available from: 10.1016/s0924-8579(02)00392-8.12672575
21 Shankar RP Partha P Shenoy NK , et al . Prescribing patterns of antibiotics and sensitivity patterns of common microorganisms in the Internal Medicine ward of a teaching hospital in Western Nepal: a prospective study. Ann Clin Microbiol Antimicrob 2003; 2 : 7. Available from: 10.1186/1476-0711-2-7.12904265
22 Sharma S Bowman C Alladin-Karan B , et al . Antibiotic prescribing patterns in the pediatric emergency department at Georgetown Public Hospital Corporation: a retrospective chart review. BMC Infect Dis 2016; 16 : 170. Available from: 10.1186/s12879-016-1512-4.27094391
23 Desalegn AA. Assessment of drug use pattern using WHO prescribing indicators at Hawassa University Teaching and Referral Hospital, south Ethiopia: a cross-sectional study. BMC Health Serv Res 2013; 13 : 170. Available from: 10.1186/1472-6963-13-170.23647871
24 Steinman MA Chren MM Landefeld CS. What’s in a name? Use of brand versus generic drug names in United States outpatient practice. J Gen Intern Med 2007; 22 : 645–648. Available from: 10.1007/s11606-006-0074-3.17443372
25 Ravi G Chikara G Bandyopadhyay A , et al . A prospective study to evaluate antimicrobial prescribing pattern among admitted patients in hilly Himalayan region of northern India. J Family Med Prim Care 2021; 10 : 1607–1613. Available from: 10.4103/jfmpc.jfmpc_1230_20.34123900
26 Amaha ND Berhe YH Kaushik A. Assessment of inpatient antibiotic use in Halibet National Referral Hospital using WHO indicators: a retrospective study. BMC Res Notes 2018; 11 : 904. Available from: 10.1186/s13104-018-4000-7.30563558
27 Ministry of Health and Population, Government of Nepal. National antimicrobial treatment guidelines. 2023. Available from: https://mohp.gov.np/uploads/AMR/National%20Antimicrobial%20Treatment%20Guidelines%202023.pdf (Accessed Jan 23 2024).
28 Dancer SJ. The problem with cephalosporins. J Antimicrob Chemother 2001; 48 : 463–478. Available from: 10.1093/jac/48.4.463.11581224
29 Ashraf MS Cook PP. Antibiotic misuse in hospital, outpatient, and long-term care settings. N C Med J 2016; 77 : 346–349. Available from: https://ncmedicaljournal.com/article/54771.pdf (Accessed Jan 23 2024).27621347
