Evidence map›Paper›PMID 29147041›Full record

ArticleBulletin of the World Health Organization2017

Using health-facility data to assess subnational coverage of maternal and child health indicators, Kenya.

Isabella Maina, Pepela Wanjala, David Soti, Hillary Kipruto, Benson Droti, Ties Boerma

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
15.4field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 131 citations in OpenAlex.

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  8. BMJ global health · 2024
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  16. Spatio-Temporal Bayesian Models for Malaria Risk Using Survey and Health Facility Routine Data in Rwanda.International journal of environmental research and public health · 2023
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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

6 authors at 2 institutions in 2 countries.

Isabella MainaHealth Sector Monitoring and Evaluation Unit, Department of Policy Planning and Health Care finance, Ministry of Health, Nairobi, Kenya.
Pepela WanjalaHealth Sector Monitoring and Evaluation Unit, Department of Policy Planning and Health Care finance, Ministry of Health, Nairobi, Kenya.
David SotiDepartment of Preventive and Promotive Health, Ministry of Health, Nairobi, Kenya.
Hillary KiprutoKenya Country Office, World Health Organization, Nairobi, Kenya.
Benson DrotiRegional Office for Africa, World Health Organization, Brazzaville, Congo.
Ties BoermaCenter for Global Public Health, Department of Community Health Sciences, University of Manitoba, 750 Bannatyne Avenue, R3E0W2 Winnipeg, Manitoba, Canada.
Ministry of Health · KEWorld Health Organization Regional Office for Africa · CG

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveTo develop a systematic approach to obtain the best possible national and subnational statistics for maternal and child health coverage indicators from routine health-facility data.

methodsOur approach aimed to obtain improved numerators and denominators for calculating coverage at the subnational level from health-facility data. This involved assessing data quality and determining adjustment factors for incomplete reporting by facilities, then estimating local target populations based on interventions with near-universal coverage (first antenatal visit and first dose of pentavalent vaccine). We applied the method to Kenya at the county level, where routine electronic reporting by facilities is in place via the district health information software system.

findingsReporting completeness for facility data were well above 80% in all 47 counties and the consistency of data over time was good. Coverage of the first dose of pentavalent vaccine, adjusted for facility reporting completeness, was used to obtain estimates of the county target populations for maternal and child health indicators. The country and national statistics for the four-year period 2012/13 to 2015/16 showed good consistency with results of the 2014 Kenya demographic and health survey. Our results indicated a stagnation of immunization coverage in almost all counties, a rapid increase of facility-based deliveries and caesarean sections and limited progress in antenatal care coverage.

conclusionWhile surveys will continue to be necessary to provide population-based data, web-based information systems for health facility reporting provide an opportunity for more frequent, local monitoring of progress, in maternal and child health.

Indexed as

Child HealthHealth FacilitiesHealth Status IndicatorsMaternal HealthChildFemaleHumansInfantKenyaMaternal-Child Health ServicesMaternal Health ServicesPregnancy

Identifiers

PMID29147041
PMCPMC5689197
OpenAlexW2760030787

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.