Evidence map›Paper›PMID 36932384›Full record

ArticleMalaria journal2023

Using antenatal care as a platform for malaria surveillance data collection: study protocol.

Julie R Gutman, Julia Nanteza Mwesigwa, Kyra Arnett, Chabu Kangale, Sijenunu Aaron, Dele Babarinde, Julie Buekens, Baltazar Candrinho, Siaka Debe, Peder Digre and 24 more

Open access · goldFull text readClinical Trial Protocol
In one paragraph

Article in Malaria journal, 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
9.3field-weighted citation impact, top 2% 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, 16 citations in OpenAlex.

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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

34 authors at 11 institutions in 9 countries.

Julie R GutmanMalaria Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA. fff2@cdc.gov.
Julia Nanteza MwesigwaPATH, Kampala, Uganda.
Kyra ArnettPATH, Seattle, WA, USA.
Chabu KangalePATH, Lusaka, Zambia.
Sijenunu AaronNational Malaria Control Program, Dodoma, Tanzania.
Dele BabarindeIbolda Health International Ltd, Abuja, Nigeria.
Julie BuekensMCD Global Health, Silver Spring, MD, USA.
Baltazar CandrinhoPrograma Nacional de Controlo da Malária, Maputo, Mozambique.
Siaka DebeCentre National de Recherche Et de Formation Sur Le Paludisme, Ouagadougou, Burkina Faso.
Peder DigrePATH, Seattle, WA, USA.
Mary DrakeJhpiego, Dar Es Salaam, Tanzania.
Adama GansanéCentre National de Recherche Et de Formation Sur Le Paludisme, Ouagadougou, Burkina Faso.
Christelle GoguePATH, Washington, DC, USA.
Kevin S GriffithUS President's Malaria Initiative, US Agency for International Development, Washington, DC, USA.
Joseph HicksImperial College London, London, UK.
Réné KindaCentre National de Recherche Et de Formation Sur Le Paludisme, Ouagadougou, Burkina Faso.
Hannah KoenkerTropical Health, Baltimore, MD, USA.
Ruth LemwayiJhpiego, Dar Es Salaam, Tanzania.
Anna MunseyMalaria Branch, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Emmanuel ObiNational Malaria Elimination Program, Abuja, Nigeria.
Aurore Ogouyèmi-HountoFaculté Des Sciences de La Santé/Université d'Abomey Calavi, Godomey, Benin.
Okefu Oyale OkokoNational Malaria Elimination Program, Abuja, Nigeria.
Faustin OnikpoMCD Global Health, Silver Spring, MD, USA.
Ali OnojaIbolda Health International Ltd, Abuja, Nigeria.
Travis PorterPATH, Seattle, WA, USA.
Binete SavaioPATH, Maputo, Mozambique.
Kenzie TynuvPATH, Washington, DC, USA.
Perpetua UhomoibhiNational Malaria Elimination Program, Abuja, Nigeria.
Joseph WagmanPATH, Washington, DC, USA.
Katherine WolfJhpiego, Baltimore, MD, USA.
Rose ZulligerUS President's Malaria Initiative, US Agency for International Development, Washington, DC, USA.
Patrick WalkerImperial College London, London, UK.
John M MillerPATH, Lusaka, Zambia.
Molly RobertsonThe Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Program for Appropriate Technology in Health · USAIDS Prevention Initiative in Nigeria · NGCentre National de Recherche et de Formation sur le Paludisme · BFCenters for Disease Control and Prevention · USImperial College London · GBMedical Care Development International · USU.S. President's Malaria Initiative · USAfrican Malaria Network Trust · TZGlobal Fund to Fight AIDS, Tuberculosis and Malaria · CHNational Directorate of Geology · MZUniversité d'Abomey-Calavi · BJ

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundWhile many malaria-endemic countries have health management information systems that can measure and report malaria trends in a timely manner, these routine systems have limitations. Periodic community cross-sectional household surveys are used to estimate malaria prevalence and intervention coverage but lack geographic granularity and are resource intensive. Incorporating malaria testing for all women at their first antenatal care (ANC) visit (i.e., ANC1) could provide a more timely and granular source of data for monitoring trends in malaria burden and intervention coverage. This article describes a protocol designed to assess if ANC-based surveillance could be a pragmatic tool to monitor malaria.

methodsThis is an observational, cross-sectional study conducted in Benin, Burkina Faso, Mozambique, Nigeria, Tanzania, and Zambia. Pregnant women attending ANC1 in selected health facilities will be tested for malaria infection by rapid diagnostic test and administered a brief questionnaire to capture key indicators of malaria control intervention coverage and care-seeking behaviour. In each location, contemporaneous cross-sectional household surveys will be leveraged to assess correlations between estimates obtained using each method, and the use of ANC data as a tool to track trends in malaria burden and intervention coverage will be validated.

resultsThis study will assess malaria prevalence at ANC1 aggregated at health facility and district levels, and by gravidity relative to current pregnancy (i.e., gravida 1, gravida 2, and gravida 3 +). ANC1 malaria prevalence will be presented as monthly trends. Additionally, correlation between ANC1 and household survey-derived estimates of malaria prevalence, bed net ownership and use, and care-seeking will be assessed.

conclusionANC1-based surveillance has the potential to provide a cost-effective, localized measure of malaria prevalence that is representative of the general population and useful for tracking monthly changes in parasite prevalence, as well as providing population-representative estimates of intervention coverage and care-seeking behavior. This study will evaluate the representativeness of these measures and collect information on operational feasibility, usefulness for programmatic decision-making, and potential for scale-up of malaria ANC1 surveillance.

Indexed as

MalariaPrenatal CareCross-Sectional StudiesFemaleGravidityHumansObservational Studies as TopicPregnancyTanzaniaANC-based surveillanceBeninBurkina FasoMalariaMozambiqueNigeriaTanzaniaZambia

Identifiers

PMID36932384
PMCPMC10022568
OpenAlexW4327744586

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read5
identifiers read3
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.