Evidence map›Paper›PMID 31906939›Full record

ArticleBMC pregnancy and childbirth2020

Increasing utilisation of perinatal services: estimating the impact of community health worker program in Neno, Malawi.

Chiyembekezo Kachimanga, Elizabeth L Dunbar, Samuel Watson, Katie Cundale, Henry Makungwa, Emily B Wroe, Charles Malindi, Lawrence Nazimera, Daniel Palazuelos, Jeanel Drake and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  14. COVID-19 and maternal and perinatal outcomes.The Lancet. Global health · 2021
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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

13 authors at 7 institutions in 5 countries.

Chiyembekezo KachimangaPartners In Health, Neno, Malawi. chembekachimanga@yahoo.co.uk.ORCID http://orcid.org/0000-0003-3507-9591
Elizabeth L DunbarPartners In Heath, Harper, Liberia.
Samuel WatsonWarwick Medical School, University of Warwick, Coventry, UK.
Katie CundalePartners In Health, Neno, Malawi.
Henry MakungwaPartners In Health, Neno, Malawi.
Emily B WroePartners In Health, Neno, Malawi.
Charles MalindiPartners In Health, Neno, Malawi.
Lawrence NazimeraMinistry of Health, Neno, Malawi.
Daniel PalazuelosPartners In Health, Boston, USA.
Jeanel DrakeFHI 360, Washington, DC, USA.
Thomas GatesIndependent, Lancaster, PA, USA.
Thomas van den AkkerDepartment of Obstetrics, Leiden University Medical Center, Leiden, Netherlands.
Jawaya SheaDepartment of Peadiatrics and Child Health, Faculty of Health Sciences, University of Cape Town, Cape Town, Republic of South Africa.
Partners In Health · USFamily Health International 360 · USLancaster General Hospital · USLeiden University Medical Center · NLMinistry of Health · MWUniversity of Cape Town · ZAUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBy 2015, Malawi had not achieved Millennium Development Goal 4, reducing maternal mortality by about 35% from 675 to 439 deaths per 100,000 livebirths. Hypothesised reasons included low uptake of antenatal care (ANC), intrapartum care, and postnatal care. Involving community health workers (CHWs) in identification of pregnant women and linking them to perinatal services is a key strategy to reinforce uptake of perinatal care in Neno, Malawi. We evaluated changes in uptake after deployment of CHWs between March 2014 and June 2016.

methodsA CHW intervention was implemented in Neno District, Malawi in a designated catchment area of about 3100 women of childbearing age. The pre-intervention period was March 2014 to February 2015, and the post-intervention period was March 2015 to June 2016. A 5-day maternal health training package was delivered to 211 paid and supervised CHWs. CHWs were deployed to identify pregnant women and escort them to perinatal care visits. A synthetic control method, in which a "counterfactual site" was created from six available control facilities in Neno District, was used to evaluate the intervention. Outcomes of interest included uptake of first-time ANC, ANC within the first trimester, four or more ANC visits, intrapartum care, and postnatal care follow-up.

resultsWomen enrolled in ANC increased by 18% (95% Credible Interval (CrI): 8, 29%) from an average of 83 to 98 per month, the proportion of pregnant women starting ANC in the first trimester increased by 200% (95% CrI: 162, 234%) from 10 to 29% per month, the proportion of women completing four or more ANC visits increased by 37% (95% CrI: 31, 43%) from 28 to 39%, and monthly utilisation of intrapartum care increased by 20% (95% CrI: 13, 28%) from 85 to 102 women per month. There was little evidence that the CHW intervention changed utilisation of postnatal care (- 37, 95% CrI: - 224, 170%).

conclusionsIn a rural district in Malawi, uptake of ANC and intrapartum care increased considerably following an intervention using CHWs to identify pregnant women and link them to care.

Indexed as

Pregnant PeopleProgram EvaluationAdultCommunity Health WorkersFemaleHumansInfant, NewbornMalawiMaleMaternal Health ServicesMiddle AgedPatient Acceptance of Health CarePerinatal CarePregnancyRural PopulationAntenatal careCommunity health workersDeliveries, obstetricIntrapartum careMalawiMaternal mortalityPerinatal carePostnatal careSynthetic control, quasi-experimental study

Identifiers

PMID31906939
PMCPMC6945430
OpenAlexW3000116219

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.