SynthesisNeurosurgical review2024
Prevalence and influencing factors of patient delay in stroke patients: a systematic review and meta-analysis.
Synthesis in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Predictors of brain death and barriers to organ donation in north African intensive care units: a multicenter prospective study on severe coma patients.The Libyan journal of medicine · 2025Observational
- Article
- Effect of biofeedback electrical stimulation combined with early intensive rehabilitation training on stroke rehabilitation.American journal of translational research · 2025Article
- Perceived need to prevent stroke readmission: A qualitative study from the perspective of stroke patients and healthcare professionals.Journal of education and health promotion · 2025Article
- Mimicking aneurysm in a patient with chronic occlusion of the left middle cerebral artery: A case report.World journal of clinical cases · 2024Article
- Research Hotspots and Frontiers of Patient Delay: A Bibliometric Analysis from 2000 to 2023.Journal of multidisciplinary healthcare · 2024Article
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Authors and funding
9 authors.
Funding
Abstract
purposeDetermine the prevalence and influencing factors of patient delay in stroke patients and explore variation in prevalence by country and delayed time.
methodsPubMed, The Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Database (CBM), Weipu database, and Wanfang database were comprehensively searched for observational studies from inception to April, 2023. The pooled prevalence, odds ratio (OR), and 95% confidence intervals (CI) were calculated with Stata 16.0 software.
resultsIn total, 2721 articles were screened and data from 70 studies involving 85,468 subjects were used in meta-analysis. The pooled prevalence of patient delay in stroke patients was 59% (95% CI, 0.54-0.64). The estimates of pooled prevalence calculated for African, Asian, and European patient delay in stroke patients were 55% (0.29-0.81), 61% (0.56-0.66), and 49% (0.34-0.64).According to the patient delay time, the prevalence of 6 h, 5 h, 4.5 h, 3.5 h, 3 h and 2 h were 54% (0.47-0.61), 73% (0.61-0.86), 60% (0.49-0.71), 81% (0.68-0.93), 52% (0.42-0.62), 63% (0.19-1.07). Distance from the place of onset to the hospital > 10 km [OR=2.49, 95%CI (1.92, 3.24)], having medical insurance [OR = 0.45, 95%CI (0.26,0.80)], lack of stroke-related knowledge [OR = 1.56, 95%CI (1.08,2.26)], education level below junior high school [OR = 1.69, 95%CI (1.22,2.36)], non-emergency medical services (Non-EMS) [OR = 2.10, 95%CI (1.49,2.97)], living in rural areas [OR = 1.54, 95%CI (1.15,2.07)], disturbance of consciousness [OR = 0.60, 95%CI (0.39,0.93)], history of atrial fibrillation [OR = 0.53, 95%CI (0.47,0.59)], age ≥ 65 years [OR = 1.18, 95%CI (1.02,1.37)], National institutes of health stroke scale (NIHSS) ≤ 4 points [OR= 2.26, 95%CI (1.06,4.79)]were factors for patient delay in stroke patients.
conclusionsThe prevalence of patient delay in stroke patients is high, we should pay attention to the influencing factors of patient delay in stroke patients and provide a theoretical basis for shortening the treatment time of stroke patients.
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