Evidence map›Paper›PMID 40975904›Full record

ArticleInternational journal of nursing studies2025

The reality of neonatal nursing work in Kenya and implications for quality and safety: Direct observation of tasks and time utilisation.

Onesmus Onyango, Vincent A Kagonya, Michuki Maina, Kenneth Karumba, Abdulazeez Imam, Sebastian S Fuller, David Gathara, Mike English, HIGH-Q Hospital Group

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Article in International journal of nursing studies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Onesmus OnyangoKEMRI-Wellcome Trust Research Program, Nairobi, Kenya.
Vincent A KagonyaKEMRI-Wellcome Trust Research Program, Nairobi, Kenya. Electronic address: VKagonya@kemri-wellcome.org.
Michuki MainaKEMRI-Wellcome Trust Research Program, Nairobi, Kenya.
Kenneth KarumbaKEMRI-Wellcome Trust Research Program, Nairobi, Kenya.
Abdulazeez ImamHealth Systems Collaborative, Nuffield Department of Medicine, University of Oxford, UK.
Sebastian S FullerHealth Systems Collaborative, Nuffield Department of Medicine, University of Oxford, UK.
David GatharaKEMRI-Wellcome Trust Research Program, Nairobi, Kenya; MARCH Centre, London School of Hygiene and Tropical Medicine, London, UK.
Mike EnglishKEMRI-Wellcome Trust Research Program, Nairobi, Kenya; Health Systems Collaborative, Nuffield Department of Medicine, University of Oxford, UK.
HIGH-Q Hospital Group

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundLittle is known about how nurses working in care settings affected by remarkably high workloads and workforce constraints manage their work and time to deliver needed care.

objectiveThis study aimed to characterise nursing workflows and examine time allocated to care in high mortality, intermediate care Kenyan neonatal units. DESIGN AND

methodsUsing 'shadowing' as a time and motion technique, we directly observed 1-2 nurses per 12-hour shift in 8 Kenyan county hospitals. We used an Activity Log Sheet to document their activities during the shift and thematic content analysis of observation notes to classify and group tasks performed. In a second phase, we documented the time spent on specific critical tasks and instances of multi-tasking and care interruptions.

resultsWe directly observed 499 person-hours over 36 day shifts and 15 night shifts. A typical day and night shift had a median of 38 (25-47) and 32 (18-44) babies respectively with a median nursing hours per-patient per-shift of 0.9 (0.5-1.2) hours. We recorded 1891 task episodes comprised of 36 different tasks that we grouped into eight workflow domains. Most tasks involved: direct patient care (37 %) or indirect patient care (23 %) with communications, documentation and reporting, staff or student supervision and mentorship, interruptions, personal breaks, and rest less frequently performed tasks. Nurses commonly devoted up to 20 minutes even to critical tasks while continuing to multi-task and managing more than 2 instances of interruptions during a newborn caring task.

conclusionsKenyan neonatal nurses perform direct and indirect patient caring tasks while grappling with demanding housekeeping, administrative, and clinical teaching and mentorship roles under extremely limited time availability. Time allocated even to complex tasks is minimal and rarely given full focus, threatening patient safety. Our findings highlight opportunities to redistribute basic non-clinical roles for enhanced patient and caregiver experience. Even so, nurse staffing must be substantially improved.

Indexed as

Neonatal NursingPatient SafetyQuality of Health CareHumansInfant, NewbornKenyaTime and Motion StudiesWorkloadNeonatalNursing careTask performanceTimeWorkflow

Identifiers

PMID40975904
PMCPMC12590195

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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.