Evidence map›Paper›PMID 40529463›Full record

ReviewInternational journal of nursing sciences2025

Retaining nurses in Sub-Saharan Africa: A systematic review and meta-analysis.

Evans Kasmai Kiptulon, Mohammed Elmadani, Mokaya Peter Onchuru, Anna Szőllősi, Miklós Zrínyi, Adrienn Ujváriné Siket

Abstract readReview
In one paragraph

Review in International journal of nursing sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Evans Kasmai KiptulonDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Mohammed ElmadaniDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Mokaya Peter OnchuruDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Anna SzőllősiDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Miklós ZrínyiDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.
Adrienn Ujváriné SiketDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to determine the current prevalence of nurse retention in Sub-Saharan Africa (SSA), evaluate the strategies and interventions in SSA countries used to retain their nurses, and identify the key challenges impeding nurse retention. Methods: A systematic review and meta-analysis were conducted. An electronic search was performed in August 2024 across multiple databases, including PubMed, Ovid Medline, Embase, CINAHL, Scopus, and grey literature sources. The studies were screened using Covidence, and quality assessments were conducted using the Mixed Methods Appraisal Tool. Results: A total of 31 articles were included in the review. Meta-analysis revealed that the pooled nurses' retention rate in SSA was 53 % (95 % Conclusions: Nurse retention in SSA remains critically low. Interventions should be formulated for the above-mentioned effective improvement strategies to address these systemic challenges in order to retain nurses in SSA.

Indexed as

Intention to stayMeta-analysisNurseRetentionSub-Saharan AfricaSystematic review

Identifiers

PMID40529463
PMCPMC12168464

What OpenQuestion holds

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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.