Evidence map›Paper›PMID 39871202›Full record

ArticleBMC nursing2025

Nursing professionalism and associated factors in Ethiopia: a systematic review and meta-analysis.

Moges Tadesse Abebe, Agerie Mengistie Zeleke, Yeshiwas Ayale Ferede, Yosef Aragaw Gonete, Worku Chekol Tassew

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Article in BMC nursing, 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

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Moges Tadesse AbebeDepartment of Pediatric and Child Health Nursing, College of Health Science, Debark University, Debark, Ethiopia. moges7045@gmail.com.ORCID http://orcid.org/0009-0000-1353-9265
Agerie Mengistie ZelekeDepartment of Clinical Midwifery, College of Health Science, Debark University, Debark, Ethiopia.
Yeshiwas Ayale FeredeDepartment of Reproductive Health, Teda Health Science College, Gondar, Ethiopia.
Yosef Aragaw GoneteDepartment of Midwifery, College of Health Science, Debark University, Debark, Ethiopia.
Worku Chekol TassewDepartment of Medical Nursing, Teda Health Science College, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA higher level of nursing professionalism improves autonomy among nurses, the quality of nursing care, and patient outcomes. However, inconsistent findings on the prevalence of nursing professionalism and associated factors have been reported among studies conducted in Ethiopia, and a meta-analysis of pooled results have not been performed. Therefore, the aim of this systematic review and meta-analysis was to determine the pooled prevalence of higher levels of nursing professionalism and factors associated with it.

methodsPubMed, Science Direct, HINARI, African Journals Online, Google Scholar, and university online institutional repositories in Ethiopia were accessed from 15/10/2024-30/10/2024. The items were assessed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The quality of the included studies was assessed via the Newcastle-Ottawa Scale. Cross-sectional studies were included without time period limits. Data extraction was conducted via Microsoft Excel and analyzed with STATA 17. The Galbraith plot, I

resultsTwelve primary studies involving 3710 nurses were included in this systematic review and meta-analysis. The pooled prevalence of higher levels of nursing professionalism was 43%. Bachelor's degree and above educational status (POR: 1.80, CI: 1.38, 2.33), learning from government colleges (POR: 2.14, CI: 1.34, 3.42), better payment (POR: 1.85, CI: 1.16, 2.98), long years of work experience (POR: 2.15, CI: 1.73, 2.68), positive self-image (POR: 3.85, CI: 2.17, 6.84), job satisfaction (POR: 2.42, CI: 1.49, 3.95) and training opportunities (POR: 2.88, CI: 1.14, 7.32) were factors that determined higher levels of nursing professionalism in Ethiopia.

conclusionThe pooled prevalence of higher levels of nursing professionalism in Ethiopia was low. Educational status, and attending college, payment, work experience, self-image, job satisfaction, and training were factors that determined the level of professionalism. These factors can be modified to increase the level of nursing professionalism in Ethiopia.

Indexed as

Associated factorsEthiopiaNursingProfessionalism

Identifiers

PMID39871202
PMCPMC11770932

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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.