Evidence map›Paper›PMID 31272402›Full record

ArticleBMC pregnancy and childbirth2019

Maternity waiting homes as part of a comprehensive approach to maternal and newborn care: a cross-sectional survey.

Jody R Lori, Joseph Perosky, Michelle L Munro-Kramer, Phil Veliz, Gertrude Musonda, Jameson Kaunda, Carol J Boyd, Rachael Bonawitz, Godfrey Biemba, Thandiwe Ngoma and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02620436 (Increasing Equitable Access to Safe Deliveries in Zambia), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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.

NCT02620436 nacompletednot on this map

Increasing Equitable Access to Safe Deliveries in Zambia

TypeinterventionalSponsorBoston UniversityRan2016 to 2018Enrolled4,798ConditionsMaternal HealthArmsCore Mother Shelter Model
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Jody R LoriOffice of Global Affairs, PAHO/WHO Collaborating Center, School of Nursing, 400 N. Ingalls, University of Michigan, Ann Arbor, MI, 48109, USA. jrlori@umich.edu.ORCID http://orcid.org/0000-0003-0564-5783
Joseph PeroskySchool of Nursing, University of Michigan, 400 N. Ingalls, Ann Arbor, MI, 48109, USA.
Michelle L Munro-KramerSchool of Nursing, University of Michigan, 400 N. Ingalls, Ann Arbor, MI, 48109, USA.
Phil VelizSchool of Nursing, University of Michigan, 400 N. Ingalls, Ann Arbor, MI, 48109, USA.
Gertrude MusondaAfricare-Zambia, Flat A, Plot 2407/10 MBX, Off Twin Palm Road, Ibex Hill, Box, 33921, Lusaka, Zambia.
Jameson KaundaAfricare-Zambia, Flat A, Plot 2407/10 MBX, Off Twin Palm Road, Ibex Hill, Box, 33921, Lusaka, Zambia.
Carol J BoydCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI, 48109, USA.
Rachael BonawitzSchool of Public Health, Boston University, Boston, MA, 02118, USA.
Godfrey BiembaBoston University, School of Public Health, Director/CEO, National Health Research Authority (NHRA), Lusaka, Zambia.
Thandiwe NgomaRight to Care Zambia, Lusaka, Zambia.
Nancy ScottSchool of Public Health, Boston University, Boston, MA, 02118, USA.

Funding

Bill & Melinda Gates Foundation OPP1130334MSD for Mothers MRK 1846-06500.COLThe ELMA Foundation ELMA-15-F0017
6 · The paper itself

Abstract

backgroundIncreased encounters with the healthcare system at multiple levels have the potential to improve maternal and newborn outcomes. The literature is replete with evidence on the impact of antenatal care and postnatal care to improve outcomes. Additionally, maternity waiting homes (MWHs) have been identified as a critical link in the continuum of care for maternal and newborn health yet there is scant data on the associations among MWH use and antenatal/postnatal attendance, family planning and immunization rates of newborns.

methodsA cross-sectional household survey was conducted to collect data from women who delivered a child in the past 13 months from catchment areas associated with 40 healthcare facilities in seven rural Saving Mothers Giving Life districts in Zambia. Multi-stage random sampling procedures were employed with a final sample of n = 2381. Logistic regression models with adjusted odds ratios and 95% confidence intervals were used to analyze the data.

resultsThe use of a MWH was associated with increased odds of attending four or more antenatal care visits (OR = 1.45, 95% CI = 1.26, 1.68), attending all postnatal care check-ups (OR = 2.00, 95% CI = 1.29, 3.12) and taking measures to avoid pregnancy (OR = 1.31, 95% CI = 1.10, 1.55) when compared to participants who did not use a MWH.

conclusionsThis is the first study to quantitatively examine the relationship between the use of MWHs and antenatal and postnatal uptake. Developing a comprehensive package of services for maternal and newborn care has the potential to improve acceptability, accessibility, and availability of healthcare services for maternal and newborn health. Maternity waiting homes have the potential to be used as part of a multi-pronged approach to improve maternal and newborn outcomes.

trial registrationNational Institutes of Health Trial Registration NCT02620436, Impact Evaluation of Maternity Homes Access in Zambia, Date of Registration - December 3, 2015.

Indexed as

AdolescentAdultContraceptionCross-Sectional StudiesFacilities and Services UtilizationFemaleHealth Care SurveysHealth Services AccessibilityHumansInfant, NewbornLogistic ModelsMaternal Health ServicesOdds RatioPatient Acceptance of Health CarePregnancyResidential FacilitiesAntenatal careMaternity waiting homesPostnatal careZambia

Identifiers

PMID31272402
PMCPMC6610940

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.