Evidence map›Paper›PMID 31188845›Full record

ArticlePloS one2019

The child survival impact of the Ghana Essential Health Interventions Program: A health systems strengthening plausibility trial in Northern Ghana.

Ayaga A Bawah, John Koku Awoonor-Williams, Patrick O Asuming, Elizabeth F Jackson, Christopher B Boyer, Edmund W Kanmiki, Sebastian F Achana, James Akazili, James F Phillips

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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.

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

20 citing papers in PubMed, 1 synthesis or guideline 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

9 authors.

Ayaga A BawahRegional Institute for Population Studies, University of Ghana, Legon, Accra, Ghana.
John Koku Awoonor-WilliamsPolicy, Planning, Monitoring and Evaluation Division, Ghana Health Service, Accra, Ghana.
Patrick O AsumingBusiness School, University of Ghana, Legon, Accra.
Elizabeth F JacksonHeilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Christopher B BoyerHarvard School of Public Health, Boston, Massachusetts, United States of America.
Edmund W KanmikiRegional Institute for Population Studies, University of Ghana, Legon, Accra, Ghana.ORCID 0000-0001-7175-5222
Sebastian F AchanaNavrongo Health Research Centre, Ghana Health Service, Navrongo, Upper East Region, Ghana.
James AkaziliNavrongo Health Research Centre, Ghana Health Service, Navrongo, Upper East Region, Ghana.
James F PhillipsHeilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Ghana Health Service in collaboration with partner institutions implemented a five-year primary health systems strengthening program known as the Ghana Essential Health Intervention Program (GEHIP). GEHIP was a plausibility trial implemented in an impoverished region of northern Ghana around the World Health Organizations (WHO) six pillars combined with community engagement, leadership development and grassroots political support, the program organized a program of training and action focused on strategies for saving newborn lives and community-engaged emergency referral services. This paper analyzes the effect of the GEHIP program on child survival.

methodsBirth history data assembled from baseline and endline surveys are used to assess the hazard of child mortality in GEHIP treatment and comparison areas prior to and after the start of treatment. Difference-in-differences (DiD) methods are used to compare mortality change over time among children exposed to GEHIP relative to children in the comparison area over the same time period. Models test the hypothesis that a package of systems strengthening activities improved childhood survival. Models adjusted for the potentially confounding effects of baseline differentials, secular mortality trends, household characteristics such as relative wealth and parental educational attainment, and geographic accessibility of clinical care.

resultsThe GEHIP combination of health systems strengthening activities reduced neonatal mortality by approximately one half (HR = 0.52, 95% CI = 0.28,0.98, p = 0.045). There was a null incremental effect of GEHIP on mortality of post-neonate infants (from 1 to 12 months old) (HR = 0.72; 95% CI = 0.30,1.79; p = 0.480) and post-infants (from 1 year to 5 years old) -(HR = 1.02; 95% CI = 0.55-1.90; p = 0.940). Age-specific analyses show that impact was concentrated among neonates. However, effect ratios for post-infancy were inefficiently assessed owing to extensive survival history censoring for the later months of childhood. Children were observed only rarely for periods over 40 months of age.

conclusionGEHIP results show that a comprehensive approach to newborn care is feasible, if care is augmented by community-based nurses. It supports the assertion that if appropriate mechanisms are put in place to enable the various pillars of the health system as espoused by WHO in rural impoverished settings where childhood mortality is high, it could lead to accelerated reductions in mortality thereby increasing survival of children. Policy implications of the pronounced neonatal effect of GEHIP merit national review for possible scale-up.

Indexed as

AdolescentAdultChild MortalityChild, PreschoolCommunity Health ServicesDelivery of Health CareFemaleGhanaGovernment ProgramsHumansInfantInfant MortalityInfant, NewbornMaleMedical AssistanceMiddle Aged

Identifiers

PMID31188845
PMCPMC6561634

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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.