Evidence map›Paper›PMID 38873401›Full record

ArticleHealth services insights2024

Assessment of Neonatal Mortality and Associated Hospital-Related Factors in Healthcare Facilities Within Sunyani and Sunyani West Municipal Assemblies in Bono Region, Ghana.

Kassim Tawiah, Killian Asampana Asosega, Samuel Iddi, Alex Akwasi Opoku, Iddrisu Wahab Abdul, Richard Kwame Ansah, Francis Kwame Bukari, Eric Okyere, Atinuke Olusola Adebanji

Abstract read
In one paragraph

Article in Health services insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Observational
  2. 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

9 authors.

Kassim TawiahDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.ORCID https://orcid.org/0000-0003-0195-225X
Killian Asampana AsosegaDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Samuel IddiDepartment of Statistics and Actuarial Science, University of Ghana, Accra, Ghana.
Alex Akwasi OpokuDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Iddrisu Wahab AbdulDepartment of Mathematics and Statistics, Ghana Communication Technology University, Accra, Ghana.
Richard Kwame AnsahDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.ORCID https://orcid.org/0000-0002-6551-4817
Francis Kwame BukariDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Eric OkyereDepartment of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Atinuke Olusola AdebanjiDepartment of Statistics and Actuarial Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Ghana's quest to reduce neonatal mortality, in hospital facilities and communities, continues to be a nightmare. The pursuit of achieving healthy lives and well-being for neonates as enshrined in Sustainable Development Goal three lingered in challenging hospital facilities and communities. Notwithstanding that, there have been increasing efforts in that direction. This study examines the contributing factors that hinder the fight against neonatal mortality in all hospital facilities in the Sunyani and Sunyani West Municipal Assemblies in Bono Region, Ghana. Methods: The study utilized neonatal mortality data consisting of neonatal deaths, structural facility related variables, medical human resources, types of hospital facilities and natal care. The data was collected longitudinally from 2014 to 2019. These variables were analysed using the negative binomial hurdle regression (NBH) model to determine factors that contribute to this menace at the facility level. Cause-specific deaths were obtained to determine the leading causes of neonatal deaths within health facilities in the two municipal assemblies. Results: The study established that the leading causes of neonatal mortality in these districts are birth asphyxia (46%), premature birth (33%), neonatal sepsis (11%) and neonatal jaundice (7%). The NBH showed that neonatal mortality in hospital facilities depend on the number of incubators, monitoring equipment, hand washing facilities, CPAP Conclusions: Early management of neonatal sepsis, birth asphyxia, premature birth and neonatal infections is required to reduce neonatal deaths. The government and all stakeholders in the health sector should provide all hospital facilities with the essential equipment and the medical human resources necessary to eradicate the menace. This will make the realization of Sustainable Development Goal three, which calls for healthy lives and well-being for all, a reality.

Indexed as

governmenthealthhospital facilitieshospital recordsinfectionsmixture modelsneonatal mortalitySustainable Development Goal three

Identifiers

PMID38873401
PMCPMC11171432

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.