Evidence map›Paper›PMID 31656466›Full record

ArticleAfrican health sciences2019

A system approach to improving maternal and child health care delivery in Kenyan communities and primary care facilities: baseline survey on maternal health.

Ann Mwangi, Mabel Nangami, John Tabu, David Ayuku, Edwin Were, Esamai Fabian

Abstract read
In one paragraph

Article in African health sciences, 2019. 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

6 authors.

Ann MwangiMoi University School of Medicine, Behavioural Science.
Mabel NangamiMoi University School of Public Health.
John TabuMoi University School of Public Health.
David AyukuMoi University School of Medicine, Behavioural Science.
Edwin WereMoi University, School of Medicine, Reproductive Health.
Esamai FabianMoi University, Child Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal, fetal and neonatal mortality are 10 to 100 fold higher in many low-income compared to high-income countries. Reasons for these discrepancies include limited antenatal care and delivery outside health facilities.

objectivesThe study aimed at conducting a baseline survey to assess the current levels of maternal health indicators in six counties in Western Kenya.

methodsThis was a cross sectional study conducted targeting women residing in Uasin-Gishu, ElgeyoMarakwet, TransNzoia, Bungoma, Busia and Kakamega counties who had given birth five years prior to the interview. Socio-demographic and maternal indicators were collected using forms adopted from KDHS 2009. Interviews were conducted in the homesteads between December 2015 and June 2016.

resultsA total of 6257 women participated in the study, median age 27 years IQR 23-32. Majority of the women had post-primary level of education, were married and 40% were members of an income-generating activity. 56.8% were using modern family planning method, 49% attended WHO recommended four plus antenatal clinic visits and only 20% attended in the first trimester. Majority, 85% had their most recent delivery in a health facility.

conclusionFindings suggest that women are not attending recommended four plus antenatal clinic visits and even those that attend are few are during the first trimester.

Indexed as

Maternal HealthPatient ComplianceAdultChildCommunity Health CentersContraception BehaviorCross-Sectional StudiesFemaleHumansKenyaMaternal-Child Health CentersMaternal-Child Health ServicesMaternal MortalityPregnancyPrenatal CarePrimary Health CareKenyan communitiesmaternal and child health careSystem approach

Identifiers

PMID31656466
PMCPMC6794517

What OpenQuestion holds

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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.