Evidence map›Paper›PMID 30677072›Full record

ArticlePloS one2019

Can vaccination coverage be improved by reducing missed opportunities for vaccination? Findings from assessments in Chad and Malawi using the new WHO methodology.

Ikechukwu Udo Ogbuanu, Anyie J Li, Blanche-Philomene Melanga Anya, Mbaihol Tamadji, Geoffrey Chirwa, Kwame W Chiwaya, Mohamed El-Hafiz Djalal, Dah Cheikh, Zorodzai Machekanyanga, Joseph Okeibunor and 2 more

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In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
–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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Ikechukwu Udo OgbuanuWorld Health Organization, Headquarters, Geneva, Switzerland.
Anyie J LiASPPH/CDC Allan Rosenfield Global Health Fellowship and PHI/CDC Global Health Fellowship, Atlanta, Georgia, United States of America.ORCID 0000-0002-2295-6201
Blanche-Philomene Melanga AnyaWorld Health Organization, African Regional Office, Brazzaville, Republic of Congo.
Mbaihol TamadjiLe Ministère de la Santé Publique de la République du Tchad, N'Djamena, Chad.
Geoffrey ChirwaMinistry of Health, Lilongwe, Malawi.
Kwame W ChiwayaWorld Health Organization, Country Office, Lilongwe, Malawi.
Mohamed El-Hafiz DjalalWorld Health Organization, Country Office, N'Djamena, Chad.
Dah CheikhWorld Health Organization, Central Africa Inter-Country Support Team (IST), Libreville, Gabon.
Zorodzai MachekanyangaWorld Health Organization, East and Southern Africa Inter-Country Support Team (IST), Harare, Zimbabwe.
Joseph OkeibunorWorld Health Organization, African Regional Office, Brazzaville, Republic of Congo.
Colin SandersonLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Richard MihigoWorld Health Organization, African Regional Office, Brazzaville, Republic of Congo.

Funding

CDC HHS NU2GGH002093OSELS CDC HHS U36 OE000002World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2015, the World Health Organization (WHO) updated the global methodology for assessing and reducing missed opportunities for vaccination (MOV), when eligible children have contact with the health system but are not vaccinated. This paper presents the results of two pilot assessments conducted in Chad and Malawi.

methodsUsing the ten-step global WHO MOV strategy, we purposively selected districts and health facilities, with non-probabilistic sampling of <24 month old children for exit interviews of caregivers and self-administered knowledge, attitudes, and practices (KAP) surveys of health workers. MOV were calculated based on a child's documented vaccination history (i.e., from a home-based record (HBR) or a health facility vaccination register), including selected vaccines in the national schedule.

resultsRespondents included caregivers of 353 children in Chad and of 580 children in Malawi. Among those with documented vaccination history, 82% (195/238) were eligible for vaccination in Chad and 47% (225/483) in Malawi. Among eligible children, 51% (99/195) in Chad, and 66% (149/225) in Malawi had one or more MOV on the survey date. During non-vaccination visits, 77% (24/31) of children eligible for vaccination in Chad and 92% (119/129) in Malawi had a MOV compared to 46% (75/164) and 31% (30/96) during vaccination visits, respectively. Among health workers, 92% in Chad and 88% in Malawi were unable to correctly identify valid contraindications for vaccination.

conclusionThe new MOV tool was able to characterize the type and potential causes of MOV. In both countries, the findings of the assessments point to two major barriers to full vaccination of eligible children-a lack of coordination between vaccination and curative health services and incomplete vaccination during vaccination visits. National immunization programs should explore tailored efforts to improve health worker practices and to increase vaccine delivery by making better use of existing health service contacts.

Indexed as

CaregiversChadCommunity Health WorkersFemaleHealth FacilitiesHumansImmunization ProgramsInfantInfant, NewbornMalawiMaleSurveys and QuestionnairesVaccinationVaccination CoverageWorld Health Organization

Identifiers

PMID30677072
PMCPMC6345496

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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.