Evidence map›Paper›PMID 36098955›Full record

ArticleGlobal health action2022

The RADAR coverage tool: developing a toolkit for rigorous household surveys for reproductive, maternal, newborn, and child health & nutrition indicators.

Melinda K Munos, Abdoulaye Maïga, Talata Sawadogo-Lewis, Emily Wilson, Onome Ako, Serafina Mkuwa, Frida Ngalesoni, Jennifer L Brenner, Dismas Matovelo, Idrissa Ouili and 5 more

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 8 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

15 authors at 5 institutions in 4 countries.

Melinda K MunosDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-1349-8026
Abdoulaye MaïgaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-0475-1106
Talata Sawadogo-LewisDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-0541-1859
Emily WilsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Onome AkoAmref Health Africa, Toronto, Canada.
Serafina MkuwaAmref Health Africa in Tanzania, Dar Es Salaam, Tanzania.
Frida NgalesoniAmref Health Africa in Tanzania, Dar Es Salaam, Tanzania.
Jennifer L BrennerDepartments of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Dismas MatoveloCatholic University of Health and Allied Sciences - Bugando, Mwanza, Tanzania.
Idrissa OuiliInstitut Supérieur Des Sciences de La Population, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Abdramane SouraInstitut Supérieur Des Sciences de La Population, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Moussa BougmaInstitut Supérieur Des Sciences de La Population, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Ashley SheffelDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Amy J HobbsDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Neff WalkerDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USInstitut Superieur Des Sciences De La Population · BFAmref Health Africa · TZCatholic University of Health and Allied Sciences · TZUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population-based intervention coverage data are used to inform the design of projects, programs, and policies and to evaluate their impact. In low- and middle-income countries (LMICs), household surveys are the primary source of coverage data. Many coverage surveys are implemented by organizations with limited experience or resources in population-based data collection. We developed a streamlined survey and set of supporting materials to facilitate rigorous survey design and implementation. The RADAR coverage survey tool aimed to 1) rigorously measure priority reproductive, maternal, newborn, child health & nutrition coverage indicators, and allow for equity and gender analyses; 2) use standard, valid questions, to the extent possible; 3) be as light as possible; 4) be flexible to address users' needs; and 5) be compatible with the Lives Saved Tool for analysis of program impact. Early interactions with stakeholders also highlighted survey planning, implementation, and analysis as challenging areas. We therefore developed a suite of resources to support implementers in these areas. The toolkit was piloted by implementers in Tanzania and in Burkina Faso. Although the toolkit was successfully implemented in these settings and facilitated survey planning and implementation, we found that implementers must still have access to sufficient resources, time, and technical expertise in order to use the tool appropriately. This potentially limits the use of the tool to situations where high-quality surveys or evaluations have been prioritized and adequately resourced.

Indexed as

Child HealthFamily CharacteristicsChildHumansInfant, NewbornNutritional StatusPovertySurveys and Questionnaireschild healthHousehold surveymaternal healthnewborn healthnutrition

Identifiers

PMID36098955
PMCPMC9481084
OpenAlexW4295448972

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.