Evidence map›Paper›PMID 34078956›Full record

ArticleScientific reports2021

Use of antimicrobials and antimicrobial resistance in Nepal: a nationwide survey.

Komal Raj Rijal, Megha Raj Banjara, Binod Dhungel, Samarpan Kafle, Kedar Gautam, Bindu Ghimire, Prabina Ghimire, Samriddh Dhungel, Nabaraj Adhikari, Upendra Thapa Shrestha and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  8. Identification and multidrug resistance profiles ofVeterinary and animal science · 2025
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  13. Current Antibiotic Resistance Profile of ESKAPE Pathogens in a Nepalese Hospital: A Cross-Sectional Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  14. Article
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  19. Article
  20. In Silico and In Vitro Studies of Antibacterial Activity of Cow Urine Distillate (CUD).Evidence-based complementary and alternative medicine : eCAM · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Komal Raj Rijal *Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal. komal.rijal@cdmi.tu.edu.np.
Megha Raj Banjara *Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Binod DhungelCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Samarpan KafleCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Kedar GautamCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Bindu GhimireCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Prabina GhimireNepal Medical College, Jorpati, Kathmandu, Nepal.
Samriddh DhungelNepal Medical College, Jorpati, Kathmandu, Nepal.
Nabaraj AdhikariCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Upendra Thapa ShresthaCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Dev Ram SunuwarDepartment of Public Health, Asian College for Advance Studies, Purbanchal University, Lalitpur, Nepal.
Bipin AdhikariMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Prakash GhimireCentral Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal. prakash.ghimire@cdmi.tu.edu.np.
Tribhuvan University · NPNepal Medical College Teaching Hospital · NPPurbanchal University · NPUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nepal suffers from high burden of antimicrobial resistance (AMR) due to inappropriate use of antibiotics. The main objective of this study was to explore knowledge, attitude and practices of antibiotics uses among patients, healthcare workers, laboratories, drug sellers and farmers in eight districts of Nepal. A cross-sectional survey was conducted between April and July 2017. A total of 516 individuals participated in a face-to-face interview that included clinicians, private drug dispensers, patients, laboratories, public health centers/hospitals and, livestock and poultry farmers. Out of 516 respondents, 62.8% (324/516) were patients, 16.9% (87/516) were clinicians, 6.4% (33/516) were private drug dispensers. A significant proportion of patients (42.9%; 139/324) thought that fever could be treated with antibiotics. Majority (79%; 256/324) of the patients purchased antibiotics over the counter. The knowledge of antibiotics used among patients increased proportionately with the level of education: literate only [AOR = 1.4 (95% Cl = 0.6-4.4)], versus secondary education (8-10 grade) [AOR = 1.8 (95% Cl = 1.0-3.4)]. Adult patients were more aware of antibiotic resistance. Use of antibiotics over the counter was found high in this study. Knowledge, attitude and practice related to antibiotic among respondents showed significant gaps and need an urgent effort to mitigate such practice.

Indexed as

Drug Resistance, MicrobialDrug Utilization ReviewAdolescentAdultAnti-Infective AgentsChildChild, PreschoolCross-Sectional StudiesFarmersFemaleHealth Knowledge, Attitudes, PracticeHealth PersonnelHumansInfantMaleMiddle AgedAnti-Infective Agents

Identifiers

PMID34078956
PMCPMC8172831
OpenAlexW3164189945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.