Evidence map›Paper›PMID 42002771›Full record

ArticleAntimicrobial resistance and infection control2026

Evaluation of awareness, perceptions, and compliance with infection prevention and control protocols among healthcare professionals at a tertiary hospital in Nasarawa State, Nigeria.

Hannah Ojonogecha Ocheni, Dennis Kudu Egga, Stephen Olaide Aremu, Adamu Ishaku Akyala, Abdillahi Abdi Barkhadle

Abstract read
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Article in Antimicrobial resistance and infection control, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hannah Ojonogecha OcheniGlobal Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nasarawa State, Nigeria.
Dennis Kudu EggaGlobal Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nasarawa State, Nigeria.ORCID 0000-0003-2825-2683
Stephen Olaide AremuGlobal Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nasarawa State, Nigeria.ORCID 0000-0002-7473-7254
Adamu Ishaku AkyalaGlobal Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nasarawa State, Nigeria.ORCID 0000-0002-4168-6104
Abdillahi Abdi BarkhadleRift Valley University, Jimma, Ethiopia. abdiabdibarkhadle@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare associated infections (HAIs) remain a critical threat to patient safety, particularly in low and middle income countries where infection prevention and control (IPC) systems are inconsistently implemented. Strengthening healthcare workers (HCWs) adherence to IPC protocols is vital to curbing nosocomial transmission and improving healthcare quality in Nigeria.

methodsA descriptive cross-sectional study was conducted among 500 HCWs at the Federal Medical Centre, Keffi, Nasarawa State. Participants were selected through stratified random sampling across five professional cadres. Data were collected using a structured questionnaire and a World Health Organization (WHO)-adapted observational checklist. Quantitative data were analysed using descriptive and inferential statistics, including ANOVA and multiple regression, to determine predictors of IPC compliance.

resultsOverall IPC knowledge among HCWs was high (mean = 40.01 ± 3.66; 82%), while adherence to standard IPC practices was moderate (mean = 36.39 ± 5.92; 74%). No statistically significant difference in knowledge was observed across professional categories (p = 0.092), but adherence differed significantly (p < 0.001), with nurses demonstrating the highest compliance. Regression analysis identified institutional support (β = 0.40, p < 0.001) and availability of IPC resources as major predictors of adherence. Barriers included inadequate personal protective equipment (PPE), limited supervision, and high workload.

conclusionAlthough knowledge of IPC was satisfactory, adherence to standard practices among HCWs at FMC Keffi remains suboptimal due to systemic and institutional challenges rather than knowledge deficits. Strengthening leadership commitment, ensuring sustainable PPE supply chains, implementing continuous professional training, and reinforcing monitoring mechanisms are essential to enhance IPC compliance and reduce HAIs.

Indexed as

Cross InfectionGuideline AdherenceHealth Knowledge, Attitudes, PracticeHealth PersonnelInfection ControlAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNigeriaSurveys and QuestionnairesTertiary Care CentersYoung AdultattitudeComplianceHealthcare associated infectionsHealthcare workersInfection prevention and controlKnowledgepractice

Identifiers

PMID42002771
PMCPMC13224458

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.