Evidence map›Paper›PMID 38212733›Full record

ArticleBMC health services research2024

Exploring community insights on antimicrobial resistance in Nepal: a formative qualitative study.

Ayuska Parajuli, Lidis Garbovan, Basudev Bhattarai, Abriti Arjyal, Sushil Baral, Paul Cooke, Sophia Latham, Dani J Barrington, Jessica Mitchell, Rebecca King

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

8 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

10 authors at 3 institutions in 2 countries.

Ayuska ParajuliHERD International, Bhaisepati, Lalitpur, Nepal. ayuska.parajuli@herdint.com.
Lidis GarbovanCentre for World Cinema and Digital Cultures, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.
Basudev BhattaraiHERD International, Bhaisepati, Lalitpur, Nepal.
Abriti ArjyalHERD International, Bhaisepati, Lalitpur, Nepal.
Sushil BaralHERD International, Bhaisepati, Lalitpur, Nepal.
Paul CookeCentre for World Cinema and Digital Cultures, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.
Sophia LathamInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Chester High Road, Neston, Liverpool, CH64 7TE, UK.
Dani J BarringtonSchool of Population and Global Health, University of Western Australia, 35 Stirling Highway, Crawley, Perth, Western, 6009, Australia.
Jessica MitchellNuffield Centre for International Health and Development, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.
Rebecca KingNuffield Centre for International Health and Development, University of Leeds, Woodhouse Lane, Leeds, LS2 9JT, UK.
University of Leeds · GBUniversity of Liverpool · GBUniversity of Western Australia · AU

Funding

Medical Research Council MR/T029676/1
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is the process by which microbes evolve mechanisms to survive the medicines designed to destroy them i.e. antimicrobials (AMs). Despite being a natural process, AMR is being hastened by the abuse of AMs. In context of Nepal, there is limited information on drivers of AMR and barriers in addressing it from a community perspective. This study explores the local language and terminology used around AMs in the community, commonly used AMs and reasons for their usage, how these AMs are sourced, and the perceived barriers to addressing AMR via One Health approach.

methodsA phenomenological study design was utilized with applied qualitative research theoretically framed as pragmatism. Twelve in-depth interviews and informal discussions with a One Health focus, were purposively conducted with wide range of stakeholders and community resident of Kapilvastu municipality of Nepal during April 2022. The acquired data was analyzed manually via a thematic framework approach. The study obtained ethical approval from ethical review board of Nepal Health Research Council and University of Leeds.

resultsNepali and Awadhi languages does not have specific words for AMs or AMR, which is understandable by the community people. Rather, community use full explanatory sentences. People use AMs but have incomplete knowledge about them and they have their own local words for these medicines. The knowledge and usage of AMs across human and animal health is impacted by socio-structural factors, limited Government regulation, inadequate supply of AMs in local government health facilities and the presence of various unregulated health providers that co-exist within the health system. Novel ideas such as the use of visual and smart technology, for instance mobile phones and social media exposure, can enable access to information about AMs and AMR.

conclusionThis study shows that terminology that is understandable by the community referring to AMs and AMR in Nepali and Awadhi languages does not exist, but full explanatory sentences and colloquial names are used. Despite regular utilisation, communities have incomplete knowledge regarding AMs. Since, knowledge alone cannot improve behaviour, behavioural interventions are required to address AMR via community engagement to co-produce their own solutions.

trial registrationNot applicable.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialAnimalsHumansNepalQualitative ResearchResearch DesignAnti-Bacterial AgentsAntimicrobial resistanceCommunityDrivers of antimicrobial resistanceNepalQualitative study

Identifiers

PMID38212733
PMCPMC10782613
OpenAlexW4390741256

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.