Evidence map›Paper›PMID 38539129›Full record

ArticleBMC pregnancy and childbirth2024

Four antenatal care visits by four months of pregnancy and four vital tests for pregnant mothers: impact of a community-facility health systems strengthening intervention in Migori County, Kenya.

Yussif Alhassan, Lilian Otiso, Linet Okoth, Lois Murray, Charlotte Hemingway, Joseph M Lewis, Mandela Oguche, Vicki Doyle, Nelly Muturi, Emily Ogwang and 2 more

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Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

12 authors.

Yussif AlhassanDepartment of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK. yussif.alhassan@lstmed.ac.uk.
Lilian OtisoLVCT Health, Sonning Suites, Suna Road off Ngong Rd, Adams Arcade, P.O. Box 19835, Nairobi, Kenya.
Linet OkothLVCT Health, Sonning Suites, Suna Road off Ngong Rd, Adams Arcade, P.O. Box 19835, Nairobi, Kenya.
Lois MurrayDepartment of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK.
Charlotte HemingwayDepartment of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK.
Joseph M LewisDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Mandela OgucheLVCT Health, Sonning Suites, Suna Road off Ngong Rd, Adams Arcade, P.O. Box 19835, Nairobi, Kenya.
Vicki DoyleDepartment of International Public Health, Liverpool School of Tropical Medicine, Liverpool, UK.
Nelly MuturiAirbel Impact Lab- International Rescue Committee, Nairobi, Kenya.
Emily OgwangLVCT Health, The Key Place, Along Homa Bay-Rongo Road, P.O Box 352-40300, Homabay, Kenya.
Hellen C BarsosioKenya Medical Research Institute, P.O Box 352-40300, Kisumu, Kenya.
Miriam TaegtmeyerDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.

Funding

Medical Research Council MR/T003324/1
6 · The paper itself

Abstract

backgroundEarly attendance at antenatal care (ANC), coupled with good-quality care, is essential for improving maternal and child health outcomes. However, achieving these outcomes in sub-Saharan Africa remains a challenge. This study examines the effects of a community-facility health system strengthening model (known as 4byFour) on early ANC attendance, testing for four conditions by four months of pregnancy, and four ANC clinic visits in Migori county, western Kenya.

methodsWe conducted a mixed methods quasi-experimental study with a before-after interventional design to assess the impact of the 4byFour model on ANC attendance. Data were collected between August 2019 and December 2020 from two ANC hospitals. Using quantitative data obtained from facility ANC registers, we analysed 707 baseline and 894 endline unique ANC numbers (attendances) based on negative binomial regression. Logistic regression models were used to determine the impact of patient factors on outcomes with Akaike Information Criterion (AIC) and likelihood ratio testing used to compare models. Regular facility stock checks were undertaken at the study sites to assess the availability of ANC profile tests. Analysis of the quantitative data was conducted in R v4.1.1 software. Additionally, qualitative in-depth interviews were conducted with 37 purposively sampled participants, including pregnant mothers, community health volunteers, facility staff, and senior county health officials to explore outcomes of the intervention. The interview data were audio-recorded, transcribed, and coded; and thematic analysis was conducted in NVivo.

resultsThere was a significant 26% increase in overall ANC uptake in both facilities following the intervention. Early ANC attendance improved for all age groups, including adolescents, from 22% (baseline) to 33% (endline, p = 0.002). Logistic regression models predicting early booking were a better fit to data when patient factors were included (age, parity, and distance to clinic, p = 0.004 on likelihood ratio testing), suggesting that patient factors were associated with early booking.The proportion of women receiving all four tests by four months increased to 3% (27/894), with haemoglobin and malaria testing rates rising to 8% and 4%, respectively. Despite statistical significance (p < 0.001), the rates of testing remained low. Testing uptake in ANC was hampered by frequent shortage of profile commodities not covered by buffer stock and low ANC attendance during the first trimester. Qualitative data highlighted how community health volunteer-enhanced health education improved understanding and motivated early ANC-seeking. Community pregnancy testing facilitated early detection and referral, particularly for adolescent mothers. Challenges to optimal ANC attendance included insufficient knowledge about the ideal timing for ANC initiation, financial constraints, and long distances to facilities.

conclusionThe 4byFour model of community-facility health system strengthening has the potential to improve early uptake of ANC and testing in pregnancy. Sustained improvement in ANC attendance requires concerted efforts to improve care quality, consistent availability of ANC commodities, understand motivating factors, and addressing barriers to ANC. Research involving randomised control trials is needed to strengthen the evidence on the model's effectiveness and inform potential scale up.

Indexed as

MothersPrenatal CareFemaleHumansKenyaPatient Acceptance of Health CarePregnancyPregnancy Trimester, FirstEarly antenatal care attendanceHealth system strengtheningKenyaQuality improvement

Identifiers

PMID38539129
PMCPMC10967157

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LicenceCC BY
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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.