Evidence map›Paper›PMID 30366806›Full record

ArticleVaccine2018

Micro-planning for immunization in Kaduna State, Nigeria: Lessons learnt, 2017.

Gregory C Umeh, Dauda M Madubu, Charles Korir, Nkwogu Loveday, Sambo Ishaku, Hadiza Iyal, Semeeh A Omoleke, Terna I Nomhwange, Atiku Aliyu, Audu Musa and 6 more

Abstract read
In one paragraph

Article in Vaccine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

16 authors.

Gregory C UmehWorld Health Organization, Nigeria. Electronic address: umehg@who.int.
Dauda M MadubuWorld Health Organization, Nigeria.
Charles KorirWorld Health Organization, Nigeria.
Nkwogu LovedayWorld Health Organization, Nigeria.
Sambo IshakuWorld Health Organization, Nigeria.
Hadiza IyalWorld Health Organization, Nigeria.
Semeeh A OmolekeWorld Health Organization, Nigeria.
Terna I NomhwangeWorld Health Organization, Nigeria.
Atiku AliyuWorld Health Organization, Nigeria.
Audu MusaWorld Health Organization, Nigeria.
Raymond DankoliWorld Health Organization, Nigeria.
Adamu Mi NingiWorld Health Organization, Nigeria.
Fiona BrakaWorld Health Organization, Nigeria.
Paul M DogoKaduna State Ministry of Health, Kaduna, Nigeria.
Haliru SobaEmergency Operations Centre (sEOC), Kaduna, Nigeria.
Neyu IliyasuKaduna State Primary Health Care Agency, Kaduna, Nigeria.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe OPV 3 coverage for Kaduna State, 12-23 months old children was 34.4%. The low OPV 3 coverage, due mainly to weak demand for routine antigens and the need to rapidly boost population immunity against the disabling Wild Polio Virus (WPV), led the Global Polio Eradication Initiatives (GPEI) to increase supplemental OPV campaigns in Kaduna State, despite the huge cost and great burden on personnel. The OPV campaigns, especially in high risk (low vaccine uptake, <80% OPV 3 coverage and high vaccines refusal rate) states of northern Nigeria with poliovirus transmission has resulted in overestimated denominators or target population, as the highest ever vaccinated is used to set OPV campaign targets.

methodsWe utilized a cross-sectional study that assessed the impacts and possible solutions to the challenges of overestimated denominators in immunization services planning, delivery and performance evaluation in Kaduna State, Nigeria. We used both descriptive and quantitative approaches. We enumerated households and obtained the target populations for routine immunization (<1 year), polio campaign (<5 years) and acute flaccid paralysis surveillance (<15 years).

resultsWe found a significant difference in mean scores between the micro-planning and supplemental vaccination data on a number of <5 years (M = 102967, SD = 62405, micro-planning compared to M = 157716, SD = 72212, supplemental vaccination, p < 0.05). We also found a significant difference in mean scores between the micro-planning and projected census data on a number of <1 year (M = 26128, SD = 16828, micro-planning compared to M = 14154, SD = 4894, census, p < 0.05).

conclusionPeriodic household-based micro-planning, aided with the use of technology for validation remains a useful tool in addressing gaps in immunization planning, delivery and performance evaluation in developing countries, such as Nigeria with overestimated denominators.

Indexed as

Family CharacteristicsAdolescentChildChild, PreschoolCross-Sectional StudiesDisease EradicationHealth PlanningHealth ServicesHumansImmunization ProgramsInfantNigeriaParaplegiaPoliomyelitisPoliovirus Vaccine, OralPoliovirus Vaccine, OralKaduna stateMicro-planningRoutine immunizationSupplemental immunization

Identifiers

PMID30366806
PMCPMC6238078

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LicenceCC BY-NC-ND
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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.