Evidence map›Paper›PMID 38628499›Full record

ArticleBioMed research international2024

Investigation of Factors Influencing Infant Mortality at Greater Accra Regional Hospital, Ghana.

Gabriel Kallah-Dagadu, Foster Donkor, Magdalene Duah, Hillary Yeboah, Dennis Arku, Anani Lotsi

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Gabriel Kallah-DagaduDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0002-2662-9216
Foster DonkorDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.
Magdalene DuahDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.
Hillary YeboahDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.
Dennis ArkuDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0003-2828-2460
Anani LotsiDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.ORCID https://orcid.org/0000-0002-7776-6501
University of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Annually, 5.4 million children under five face mortality, with 2.5 million deaths in the first month, 1.6 million between one and eleven months, and 1.3 million aged one to four. Despite global strides, sub-Saharan Africa, including Ghana, grapples with persistent high child mortality. This study employs statistical methods to pinpoint factors driving under-five mortality in the Greater Accra Regional Hospital. Methods: The data was acquired from Greater Accra Regional Hospital, Ghana, spanning January to December 2020. The data comprised all under-five deaths recorded in the hospital in 2020. The statistical tools employed were the chi-square test of association and the multinomial logistic regression model. Results: In 2020, there were 238 cases of under-five mortality recorded in the hospital, with males constituting the majority (55%). About 85% of these cases occurred within the first month of birth, primarily attributed to respiratory distress, prematurity, and sepsis. Notably, meconium aspiration was the least common among grouped diagnoses. The test of association and multinomial logistic model emphasised the child's age, birth type, and weight at birth as significant factors influencing child mortality. Conversely, attributes like sex, marital status, and mother's age displayed no notable association with the diagnosis of death. Conclusion: The study on child mortality at the Greater Accra Regional Hospital unveils key factors shaping child health outcomes, emphasising the role of age, birth type, and weight. While specific demographics show no significant association, identified predictors are vital for targeted interventions. Proposed strategies encompass education programs, improved care, birthing practices, and data-driven policies.

Indexed as

Meconium Aspiration SyndromeCause of DeathChildChild MortalityFemaleGhanaHumansInfantInfant MortalityInfant, NewbornMale

Identifiers

PMID38628499
PMCPMC11019574
OpenAlexW4394582327

What OpenQuestion holds

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Registered trials

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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.