Evidence map›Paper›PMID 40523000›Full record

SynthesisPloS one2025

Prehospital delay and associated factors among stroke patients in Africa: A systematic review and meta-analysis.

Duguma Debela Ganeti, Amanuel Oljira Dulo, Birhanu Wogane Ilala, Nuritu Bacha Benti, Misganu Diriba, Sadik Abdulwehab, Diriba Etana Tola, Lencho Kajela Solbana

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 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

8 authors.

Duguma Debela GanetiDepartment of Nursing, College of Health Sciences, Assosa University, Assosa, Ethiopia.ORCID https://orcid.org/0009-0008-6708-177X
Amanuel Oljira DuloDepartment of Nursing, College of Health Sciences, Assosa University, Assosa, Ethiopia.
Birhanu Wogane IlalaDepartment of Nursing, College of Health Sciences, Assosa University, Assosa, Ethiopia.
Nuritu Bacha BentiDepartment of Midwifery, Institutes of health sciences, Wollega University, Nekemte, Ethiopia.
Misganu DiribaDepartment of Nursing, Institutes of Health Sciences, Wollega University, Nekemte, Ethiopia.ORCID https://orcid.org/0009-0009-9076-7785
Sadik AbdulwehabDepartment of Nursing, Institutes of Health Sciences, Wollega University, Nekemte, Ethiopia.ORCID https://orcid.org/0009-0006-0863-4288
Diriba Etana TolaDepartment of Nursing, College of Health Sciences, Assosa University, Assosa, Ethiopia.
Lencho Kajela SolbanaSchool of Public Health, Wollega University, Nekemte, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStroke is one of the leading causes of death and disability, predominantly affecting low- and middle-income countries. Timely intervention following stroke onset is critical for reducing stroke-related outcomes. However, delayed hospital arrival frequently compromises the effectiveness of treatment. Previous African studies on delayed hospital arrival among stroke patients have reported inconsistent prevalence rates and determinants. Therefore, this systematic review and meta-analysis aimed to assess the overall prevalence of prehospital delay and identify its contributing factors among stroke patients in African countries. METHODOLOGY: This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The study protocol was registered with PROSPERO under record number CRD42024545741. Relevant studies were retrieved by searching databases such as PubMed, Google Scholar, the Cochrane Library, AJOL, and Hinari. Additional studies were identified through manual searches and the review of article references. The identified studies were critically evaluated for quality. Data were extracted and exported to R (version 4.2.3) and STATA (version 15.0) for analysis. The pooled prevalence of prehospital delay and the pooled odds ratios for associated factors were subsequently estimated. The risk of bias was assessed using a funnel plot and Egger's test. The results were presented using tables, figures, and statements.

resultsThis systematic review and meta-analysis included 16 studies. The pooled prevalence of prehospital delay among stroke patients was 80% (95% CI: 74-86%). Lack of stroke symptom awareness (AOR = 4.43, 95% CI: 1.04-7.83) and increased distance from a health facility (AOR = 1.28, 95% CI: 1.22-1.34) were significantly associated with prehospital delay. CONCLUSION AND RECOMMENDATION: The prevalence of prehospital delay among stroke patients in Africa is alarmingly high, with contributing factors including a lack of stroke symptom awareness and increased distance from health facilities. Accordingly, stakeholders should implement targeted interventions that enhance community education on stroke warning signs and alleviate geographic barriers to timely care.

Indexed as

Emergency Medical ServicesStrokeTime-to-TreatmentAfricaHumansPrevalence

Identifiers

PMID40523000
PMCPMC12169519

What OpenQuestion holds

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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.