Evidence map›Paper›PMID 26455491›Full record

ArticleGlobal health action2015

Monitoring maternal, newborn, and child health interventions using lot quality assurance sampling in Sokoto State of northern Nigeria.

Dele Abegunde, Nosa Orobaton, Kamil Shoretire, Mohammed Ibrahim, Zainab Mohammed, Jumare Abdulazeez, Ringpon Gwamzhi, Akeem Ganiyu

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 2 countries.

Dele AbegundeUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria; dabegunde@tshipnigeria.org.
Nosa OrobatonUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria.
Kamil ShoretireJhpeigo - Targeted States High Impact Project Nigeria, Bauchi, Nigeria.
Mohammed IbrahimUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria.
Zainab MohammedUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria.
Jumare AbdulazeezUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria.
Ringpon GwamzhiUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria.
Akeem GaniyuUnited States Agency for International Development - John Snow Inc. Research and Training, Inc. - Targeted States High Impact Project Nigeria.
United States Agency for International Development · USBauchi State University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal mortality ratio and infant mortality rate are as high as 1,576 per 100,000 live births and 78 per 1,000 live births, respectively, in Nigeria's northwestern region, where Sokoto State is located. Using applicable monitoring indicators for tracking progress in the UN/WHO framework on continuum of maternal, newborn, and child health care, this study evaluated the progress of Sokoto toward achieving the Millennium Development Goals (MDGs) 4 and 5 by December 2015. The changes in outcomes in 2012-2013 associated with maternal and child health interventions were assessed.

designWe used baseline and follow-up lot quality assurance sampling (LQAS) data obtained in 2012 and 2013, respectively. In each of the surveys, data were obtained from 437 households sampled from 19 LQAS locations in each of the 23 local government areas (LGAs). The composite state-level coverage estimates of the respective indicators were aggregated from estimated LGA coverage estimates.

resultsNone of the nine indicators associated with the continuum of maternal, neonatal, and child care satisfied the recommended 90% coverage target for achieving MDGs 4 and 5. Similarly, the average state coverage estimates were lower than national coverage estimates. Marginal improvements in coverage were obtained in the demand for family planning satisfied, antenatal care visits, postnatal care for mothers, and exclusive breast-feeding. Antibiotic treatment for acute pneumonia increased significantly by 12.8 percentage points. The majority of the LGAs were classifiable as low-performing, high-priority areas for intensified program intervention.

conclusionsDespite the limited time left in the countdown to December 2015, Sokoto State, Nigeria, is not on track to achieving the MDG 90% coverage of indicators tied to the continuum of maternal and child care, to reduce maternal and childhood mortality by a third by 2015. Targeted health system investments at the primary care level remain a priority, for intensive program scale-up to accelerate impact.

Indexed as

Infant MortalityMaternal-Child Health ServicesMaternal MortalityBreast FeedingChild MortalityChild, PreschoolFamily Planning ServicesFemaleGlobal HealthHumansImmunizationInfantInfant, NewbornLot Quality Assurance SamplingMaleNigerialot quality assurance samplingmaternalmonitoring and evaluationnewborn and child healthNigeria

Identifiers

PMID26455491
PMCPMC4600711
OpenAlexW1871928305

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.