Evidence map›Paper›PMID 32928142›Full record

ArticleBMC pregnancy and childbirth2020

Using propensity scores to estimate the effectiveness of maternal and newborn interventions to reduce neonatal mortality in Nigeria.

Jamie Perin, Alain K Koffi, Henry D Kalter, Joseph Monehin, Adeyinka Adewemimo, John Quinley, Robert E Black

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

7 authors at 3 institutions in 2 countries.

Jamie PerinInstitute for International Programs, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. jperin@jhu.edu.ORCID http://orcid.org/0000-0002-5482-6620
Alain K KoffiInstitute for International Programs, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Henry D KalterInstitute for International Programs, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joseph MonehinUSAID, Abuja, Nigeria.
Adeyinka AdewemimoFederal Ministry of Health, Abuja, Nigeria.
John QuinleyUNICEF, New York, NY, USA.
Robert E BlackInstitute for International Programs, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · USFederal Ministry of Health · NGUnited Nations Children's Fund · US

Funding

Bill and Melinda Gates Foundation OPP1096225
6 · The paper itself

Abstract

backgroundNigeria is the largest country in sub-Saharan Africa, with one of the highest neonatal mortality rates and the second highest number of neonatal deaths in the world. There is broad international consensus on which interventions can most effectively reduce neonatal mortality, however, there is little direct evidence on what interventions are effective in the Nigerian setting.

methodsWe used the 2013 Nigeria Demographic and Health Survey (NDHS) and the follow-up 2014 Verbal and Social Autopsy study of neonatal deaths to estimate the association between neonatal survival and mothers' and neonates' receipt of 18 resources and interventions along the continuum of care with information available in the NDHS. We formed propensity scores to predict the probability of receiving the intervention or resource and then weighted the observations by the inverse of the propensity score to estimate the association with mortality. We examined all-cause mortality as well as mortality due to infectious causes and intrapartum related events.

resultsAmong 19,685 livebirths and 538 neonatal deaths, we achieved adequate balance for population characteristics and maternal and neonatal health care received for 10 of 18 resources and interventions, although inference for most antenatal interventions was not possible. Of ten resources and interventions that met our criteria for balance of potential confounders, only early breastfeeding was related to decreased all-cause neonatal mortality (relative risk 0.42, 95% CI 0.32-0.52, p <  0.001). Maternal decision making and postnatal health care reduced mortality due to infectious causes, with relative risks of 0.29 (95% CI 0.09-0.88; 0.030) and 0.46 (0.22-0.95; 0.037), respectively. Early breastfeeding and delayed bathing were related to decreased mortality due to intrapartum events, although these are not likely to be causal associations.

conclusionAccess to immediate postnatal care and women's autonomous decision-making have been among the most effective interventions for reducing neonatal mortality in Nigeria. As neonatal mortality increases relative to overall child mortality, accessible interventions are necessary to make further progress for neonatal survival in Nigeria and other low resource settings.

Indexed as

Infant MortalityFemaleHumansInfantInfant, NewbornInfant, Newborn, DiseasesNigeriaPerinatal DeathPregnancyPregnancy ComplicationsPropensity ScoreTreatment OutcomeCausal inferenceEffectivenessEpidemiological transitionNigeria

Identifiers

PMID32928142
PMCPMC7488987
OpenAlexW3085493193

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.