Evidence map›Paper›PMID 33338311›Full record

ArticleTropical medicine & international health : TM & IH2021

Determinants and patterns of antibiotic consumption for children under five in Nepal: analysis and modelling of Demographic Health Survey data from 2006 to 2016.

Charlotte Zheng, Abilasha Karkey, Tianyi Wang, Gerald Makuka, H Rogier van Doorn, Sonia Lewycka

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In one paragraph

Article in Tropical medicine & international health : TM & IH, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
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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.

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Charlotte ZhengOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Abilasha KarkeyOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Tianyi WangOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Gerald MakukaOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
H Rogier van DoornOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Sonia LewyckaOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur aims were to examine AMR-specific and AMR-sensitive factors associated with antibiotic consumption in Nepal between 2006 and 2016, to explore health care-seeking patterns and the source of antibiotics.

methodsCross-sectional data from children under five in households in Nepal were extracted from the 2006, 2011 and 2016 Demographic Health Surveys (DHS). Bivariable and multivariable analyses were carried out to assess the association of disease prevalence and antibiotic use with age, sex, ecological location, urban/rural location, wealth index, household size, maternal smoking, use of clean fuel, sanitation, nutritional status, access to health care and vaccinations.

resultsPrevalence of fever, acute respiratory infection (ARI) and diarrhoea decreased between 2006 and 2016, whilst the proportion of children under five receiving antibiotics increased. Measles vaccination, basic vaccinations, nutritional status, sanitation and access to health care were associated with antibiotic use. Those in the highest wealth index use less antibiotics and antibiotic consumption in rural areas surpassed urban regions over time. Health seeking from the private sector has overtaken government facilities since 2006 with antibiotics mainly originating from pharmacies and private hospitals. Adherence to WHO-recommended antibiotics has fallen over time.

conclusionsWith rising wealth, there has been a decline in disease prevalence but an increase in antibiotic use and more access to unregulated sources. Understanding factors associated with antibiotic use will help to inform interventions to reduce inappropriate antibiotic use whilst ensuring access to those who need them.

Indexed as

Child HealthPatient Acceptance of Health CareAnti-Bacterial AgentsChild, PreschoolCross-Sectional StudiesDelivery of Health CareDiarrheaDrug Resistance, BacterialFamily CharacteristicsFeverGuideline AdherenceHealth FacilitiesHealth SurveysHumansInfantMaleAnti-Bacterial AgentsantibioticsARI (acute respiratory infection)DHS (Demographic health survey)diarrhoeafeverunder-five

Identifiers

PMID33338311
PMCPMC8048878

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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.