Evidence map›Paper›PMID 40838202›Full record

ArticleEClinicalMedicine2025

Delivery of care in high mortality hospital settings: a direct observational study examining 1848 h of neonatal nursing in Kenya.

Abdulazeez Imam, Michuki Maina, Jalemba Aluvaala, Vincent Kagonya, Onesmus Onyango, Fredrick Were, Sebastian Fuller, Kenneth Karumba, HIGH-Q Author Group, Mike English and 1 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Abdulazeez ImamKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Michuki MainaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Jalemba AluvaalaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Vincent KagonyaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Onesmus OnyangoKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Fredrick WereKenya Paediatric Research Consortium, Nairobi, Nairobi County, Kenya.
Sebastian FullerHealth Systems Collaborative, Nuffield Department of Medicine, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK.
Kenneth KarumbaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
HIGH-Q Author Group
Mike EnglishKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
David GatharaKEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: In resource-constrained countries, deploying better technologies is expected to improve neonatal care but little attention has been paid to the critical role of nurse staffing. We investigate nursing workloads and their relationship with care provision in recently upgraded Kenyan neonatal units. Methods: We conducted a cross-sectional analysis using data from direct bedside observations across 8 intermediate-level neonatal units (defined by the World Health organization (WHO) as neonatal units capable of providing specialised but not intensive neonatal care) in Kenya over a 6-week period between February and March 2022. We excluded babies who were so severely ill that they were at risk of imminent death or transfer to a critical care facility and babies with congenital anomalies and surgical conditions. We used a structured observation checklist that had undergone content and face-validity testing in Kenya to collect workload and nursing care provision data. We determined nursing hours per patient per 12-h shift to measure nursing workload (primary exposure variable) and used a composite measure, the nursing care index (NCI), to score the nursing care delivered to a baby (primary outcome variable). The relationship between nursing workload and nursing care provision was assessed using multilevel models. Findings: Across 8 hospitals spanning 1848 h of observation of 597 sick newborns, the median nursing time available for each newborn ranged from 19.2 to 72.0 min on a 12-h shift. Nurses delivered 32% of expected care, completely missed 32%, and informally delegated 36% of tasks. Unsupervised nursing students and mothers played prominent roles in the care of clinically unstable babies. An exploratory model combining qualified nurse and nursing student hours, that considerably expanded the range of the nursing workload metric, demonstrated a 3.1% increase in nurse-delivered care per additional 60 min of nursing time per baby per shift (β: 0.031, 95% CI: 0.019-0.043). Interpretation: The nursing time available to care for sick newborns in Kenya is inadequate resulting in suboptimal care quality. Improving care quality, reducing of newborn mortality and making effective use of new technologies may not be possible without increasing nurse staffing in resource-constrained countries. Funding: National Institute for Health and Care Research.

Indexed as

Missed nursing careNursingNursing workforceQuality of newborn careSmall and sick newborns

Identifiers

PMID40838202
PMCPMC12362405

What OpenQuestion holds

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LicenceCC BY
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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.