Back

Knowledge, Attitudes, and Practices regarding Antibiotic Use and Antimicrobial Resistance (AMR) in Nepal

Thapa, D.; Magar, M. B.

2026-05-29 public and global health
10.64898/2026.05.27.26354255 medRxiv
Show abstract

Background: Antimicrobial resistance is the world's silent pandemic. The public knowledge, attitudes, and practices (KAP) about antibiotic usage are strongly related to the growing problem in Nepal. Methods: A cross-sectional descriptive survey was done to 263 respondents. Information on KAP regarding antibiotics, primary healthcare sources, and demography was collected through a questionnaire. To identify health literacy gaps and characteristics that contribute to improper antibiotic use, this study assessed these variables across an age group from 18 to 60 years. Descriptive statistics analysis was performed to analyze the data. Results: The majority of respondents were between the ages of 18 and 39 (85.1%), female (63.1%), and had at least a bachelor's degree (67.8%). Significant misunderstandings about antibiotics remained, even though 77.6% of respondents correctly recognized antibiotics as effective against bacteria; 44.1% incorrectly believed that antibiotics cure viral diseases, and 87.8% felt that antibiotics should be stopped right away if adverse effects develop. In practice, 52.9% acknowledged quitting antibiotics as soon as symptoms improved, despite 89.4% consulting doctors. Additionally, 43% of respondents said they have taken antibiotics without a prescription, frequently due to pharmacist recommendations (21.67%) and financial or geographical constraints. The main sources of information were doctors (11.07%) and pharmacist-doctor combinations (14.88%), yet 81.8% of respondents said they had never heard of the phrase antimicrobial resistance. Conclusion: There is a significant lack between theoretical understanding and practical application, despite the high levels of fundamental knowledge toward the prohibition of non-prescription sales. Self-medication and early withdrawal are still common inappropriate practices. It is crucial to implement focused teaching initiatives that highlight the differences between bacterial and viral diseases as well as the risks associated with leftover medicine. It is advised to use digital platforms for younger demographics and to strengthen the role of pharmacists in order to reduce AMR.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 10%
18.2%
2
Antibiotics
32 papers in training set
Top 0.1%
9.9%
3
Frontiers in Public Health
140 papers in training set
Top 0.6%
6.7%
4
Cureus
67 papers in training set
Top 0.6%
6.2%
5
PLOS Global Public Health
293 papers in training set
Top 2%
6.2%
6
BMC Infectious Diseases
118 papers in training set
Top 0.7%
4.2%
50% of probability mass above
7
Frontiers in Pharmacology
100 papers in training set
Top 1.0%
3.5%
8
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 2%
2.7%
9
BMC Health Services Research
42 papers in training set
Top 0.8%
2.7%
10
JAC-Antimicrobial Resistance
13 papers in training set
Top 0.2%
2.5%
11
BMJ Open
554 papers in training set
Top 7%
2.5%
12
Public Health
34 papers in training set
Top 0.3%
2.3%
13
Vaccines
196 papers in training set
Top 1%
1.8%
14
JMIR Public Health and Surveillance
45 papers in training set
Top 2%
1.7%
15
JMIRx Med
31 papers in training set
Top 0.8%
1.6%
16
Frontiers in Medicine
113 papers in training set
Top 4%
1.6%
17
F1000Research
79 papers in training set
Top 2%
1.3%
18
JMIR Formative Research
32 papers in training set
Top 1%
1.3%
19
BMC Public Health
147 papers in training set
Top 4%
1.2%
20
International Journal of Environmental Research and Public Health
124 papers in training set
Top 6%
0.9%
21
Journal of Medical Internet Research
85 papers in training set
Top 4%
0.9%
22
Journal of Hospital Infection
27 papers in training set
Top 0.6%
0.8%
23
Scientific Reports
3102 papers in training set
Top 77%
0.7%
24
Antimicrobial Resistance & Infection Control
10 papers in training set
Top 0.3%
0.7%
25
Disaster Medicine and Public Health Preparedness
16 papers in training set
Top 2%
0.6%
26
International Journal of Medical Informatics
25 papers in training set
Top 2%
0.6%