Evidence map›Paper›PMID 41965736›Full record

ArticleJournal of health, population, and nutrition2026

Health workers' knowledge, perceptions, and practices relating to antimicrobial use and resistance in cross river state, Nigeria: a cross sectional study.

Akaninyene Asuquo Otu, Obiageli Chiezey Onwusaka, Ubong Aniefiok Udoh, Ugbe Maurice Joel Ugbe, Emmanuel Edet Effa, Joel Inyang, Bassey Ebenso, Fatumo Abdi, Chikezie Okwesileze, Bassey Ewa Ekeng and 2 more

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Akaninyene Asuquo Otu *Nuffield Centre for International Health and Development, University of Leeds, Leeds, UK. akan.otu1@nhs.net.ORCID http://orcid.org/0000-0002-6009-2707
Obiageli Chiezey Onwusaka *Foundation for Healthcare Innovation and Development (FHIND), Calabar, Cross River State, Nigeria.
Ubong Aniefiok UdohDepartment of Medical Microbiology and Parasitology, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.
Ugbe Maurice Joel UgbeFoundation for Healthcare Innovation and Development (FHIND), Calabar, Cross River State, Nigeria.
Emmanuel Edet EffaFoundation for Healthcare Innovation and Development (FHIND), Calabar, Cross River State, Nigeria.
Joel InyangFoundation for Healthcare Innovation and Development (FHIND), Calabar, Cross River State, Nigeria.
Bassey EbensoNuffield Centre for International Health and Development, University of Leeds, Leeds, UK.
Fatumo AbdiFaculty of Public Health, 4 St. Andrews Place, London, NW1 4LB, UK.
Chikezie OkwesilezeUniversity of Calabar Teaching Hospital, Calabar, Cross River State, Nigeria.
Bassey Ewa EkengDepartment of Medical Microbiology and Parasitology, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.
Ita Okokon ItaDepartment of Medical Microbiology and Parasitology, Faculty of Medicine, College of Medical Sciences, University of Calabar, Calabar, Cross River State, Nigeria.
John WalleyNuffield Centre for International Health and Development, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntimicrobial resistance (AMR) is a serious global health issue with health workers (HWs) being central to addressing this issue. This study aimed to assess the knowledge, perceptions, and practices of HWs regarding antimicrobial use/AMR in Cross River State, Nigeria. METHODOLOGY: This cross-sectional survey involved 431 HWs in randomly selected healthcare facilities (13 primary and 23 secondary facilities) in Cross River State. Data were collected using a structured questionnaire. Descriptive and inferential analysis were performed using SPSS version 23.

resultsOf 431 HWs approached, 427 (99.1%) responded. Nurses comprised the largest group (37%), followed by medical doctors (26.5%). Overall, 60% of the respondents demonstrated good knowledge 30% demonstrated moderate knowledge, and 10% demonstrated poor knowledge of AMR and antimicrobial use. Perceptions were positive, with 81% categorized as good. Practices were good in 65% (of consenting HWs although 54.3% (n = 232) admitted to prescribing antibiotics not in accordance with guidelines. Identified gaps included prescribing due to patient pressure (47%) and stock availability (66%). Professional role (χ² = 41.72, df = 18, p = 0.001) and years of experience (χ² = 26.78, df = 10, p = 0.013) were significantly associated with good knowledge. Also, professional role (χ² = 28.41, df = 9, p = 0.001) and years of experience χ² = 14.67, df = 5, p = 0.012) were significantly associated with good practices. No statistically significant associations were found with perceptions.

conclusionHWs in Cross River State exhibited predominantly good knowledge and perceptions of AMR, but practices, though good, revealed areas for improvement, particularly in guideline adherence and resistance to external pressures.

Indexed as

Anti-Bacterial AgentsAnti-Infective AgentsAttitude of Health PersonnelDrug Resistance, BacterialDrug Resistance, MicrobialHealth Knowledge, Attitudes, PracticeHealth PersonnelAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNigeriaSurveys and QuestionnairesYoung AdultAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial resistanceAntimicrobial stewardshipAntimicrobial useCross sectional surveyHealth workersKnowledgePerceptions and practices

Identifiers

PMID41965736
PMCPMC13270825

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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.