Evidence map›Paper›PMID 34342584›Full record

ArticleJournal of medical Internet research2021

Every Child on the Map: A Theory of Change Framework for Improving Childhood Immunization Coverage and Equity Using Geospatial Data and Technologies.

Sarah Cunard Chaney, Patricia Mechael, Nay Myo Thu, Mamadou S Diallo, Carine Gachen

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

5 authors.

Sarah Cunard ChaneyHealthEnabled, Cape Town, South Africa.ORCID 0000-0002-4734-7576
Patricia MechaelHealthEnabled, Cape Town, South Africa.ORCID 0000-0002-1034-0549
Nay Myo ThuUNICEF, Juba, .ORCID 0000-0003-4106-5292
Mamadou S DialloData and Analytics Unit, Department of Analysis, Planning & Monitoring, UNICEF, New York, NY, United States.ORCID 0000-0002-0376-3631
Carine GachenGavi, the Vaccine Alliance, Health Information Systems and Digital Health Information, Geneva, Switzerland.ORCID 0000-0002-4601-9490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effective use of geospatial data and technologies to collect, manage, analyze, model, and visualize geographic data has great potential to improve data-driven decision-making for immunization programs. This article presents a theory of change for the use of geospatial technologies for immunization programming-a framework to illustrate the ways in which geospatial data and technologies can contribute to improved immunization outcomes and have a positive impact on childhood immunization coverage rates in low- and middle-income countries. The theory of change is the result of a review of the state of the evidence and literature; consultation with implementers, donors, and immunization and geospatial technology experts; and a review of country-level implementation experiences. The framework illustrates how the effective use of geospatial data and technologies can help immunization programs realize improvements in the number of children immunized by producing reliable estimates of target populations, identifying chronically missed settlements and locations with the highest number of zero-dose and under-immunized children, and guiding immunization managers with solutions to optimize resource distribution and location of health services. Through these direct effects on service delivery, geospatial data and technologies can contribute to the strengthening of the overall health system with equity in immunization coverage. Recent implementation of integrated geospatial data and technologies for the immunization program in Myanmar demonstrate the process that countries may experience on the path to achieving lasting systematic improvements. The theory of change presented here may serve as a guide for country program managers, implementers, donors, and other stakeholders to better understand how geospatial tools can support immunization programs and facilitate integrated service planning and equitable delivery through the unifying role of geography and geospatial data.

Indexed as

Immunization ProgramsVaccination CoverageChildHumansImmunizationTechnologyVaccinationchildrencoveragedataequityequity mappingframeworkgeospatialgeospatial datahealth information systemsimmunizationLMIClow- and middle-incomeoutcomeservice deliverytheoryvaccine

Identifiers

PMID34342584
PMCPMC8371486

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.