Evidence map›Paper›PMID 37611001›Full record

ArticlePLOS global public health2023

Trends in treatment-seeking for fever in children under five years old in 151 countries from 1990 to 2020.

Michele Nguyen, Paulina A Dzianach, Paul E C W Castle, Susan F Rumisha, Jennifer A Rozier, Joseph R Harris, Harry S Gibson, Katherine A Twohig, Camilo A Vargas-Ruiz, Donal Bisanzio and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. 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
3.3field-weighted citation impact, top 7% 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, 15 citations in OpenAlex.

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  8. A spatio-temporal model of multi-marker antimalarial resistance.Journal of the Royal Society, Interface · 2024
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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

15 authors at 7 institutions in 5 countries.

Michele NguyenAsian School of the Environment, Nanyang Technological University, Singapore, Singapore.ORCID https://orcid.org/0000-0001-9017-1978
Paulina A DzianachChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.ORCID https://orcid.org/0000-0003-4202-9680
Paul E C W CastleChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.ORCID https://orcid.org/0000-0001-8179-9229
Susan F RumishaChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.
Jennifer A RozierChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.
Joseph R HarrisChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.
Harry S GibsonOrdnance Survey, Southampton, United Kingdom.
Katherine A TwohigBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0001-9514-0097
Camilo A Vargas-RuizChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.
Donal BisanzioRTI International, Washington, District of Columbia, United States of America.
Ewan CameronChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.
Daniel J WeissChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.ORCID https://orcid.org/0000-0002-6175-5648
Samir BhattDepartment of Infectious Disease Epidemiology, Imperial College, St Mary's Hospital, London, United Kingdom.
Peter W GethingChild Health Analytics, Telethon Kids Institute, Nedlands, WA, Australia.
Katherine E BattleInstitute for Disease Modeling, Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0003-2401-2615
The Kids Research Institute Australia · AUGates Foundation · USNanyang Technological University · SGOrdnance Survey · GBUniversity of Copenhagen · DKUniversity of Nottingham · GBUniversity of Oxford · GB

Funding

Gates Foundation INV-009390Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

Access to medical treatment for fever is essential to prevent morbidity and mortality in individuals and to prevent transmission of communicable febrile illness in communities. Quantification of the rates at which treatment is accessed is critical for health system planning and a prerequisite for disease burden estimates. In this study, national data on the proportion of children under five years old with fever who were taken for medical treatment were collected from all available countries in Africa, Latin America, and Asia (n = 91). We used generalised additive mixed models to estimate 30-year trends in the treatment-seeking rates across the majority of countries in these regions (n = 151). Our results show that the proportions of febrile children brought for medical treatment increased steadily over the last 30 years, with the greatest increases occurring in areas where rates had originally been lowest, which includes Latin America and Caribbean, North Africa and the Middle East (51 and 50% increase, respectively), and Sub-Saharan Africa (23% increase). Overall, the aggregated and population-weighted estimate of children with fever taken for treatment at any type of facility rose from 61% (59-64 95% CI) in 1990 to 71% (69-72 95% CI) in 2020. The overall population-weighted average for fraction of treatment in the public sector was largely unchanged during the study period: 49% (42-58 95% CI) sought care at public facilities in 1990 and 47% (44-52 95% CI) in 2020. Overall, the findings indicate that improvements in access to care have been made where they were most needed, but that despite rapid initial gains, progress can plateau without substantial investment. In 2020 there remained significant gaps in care utilisation that must be factored in when developing control strategies and deriving disease burden estimates.

Identifiers

PMID37611001
PMCPMC10446233
OpenAlexW4386090788

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.