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01-12-2024 | Stroke | Review

Prevalence and influencing factors of patient delay in stroke patients: a systematic review and meta-analysis

Authors: Jianhui Dong, Yuxia Ma, Yanru Chen, Jiali Guo, Tong Zhang, Tingting Yang, Hongyan Zhang, Fanghong Yan, Lin Han

Published in: Neurosurgical Review | Issue 1/2024

Abstract

Purpose: Determine the prevalence and influencing factors of patient delay in stroke patients and explore variation in prevalence by country and delayed time. Methods: PubMed, 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. Results: In 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. Conclusions: The 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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Title: Prevalence and influencing factors of patient delay in stroke patients: a systematic review and meta-analysis
Authors: Jianhui Dong
Yuxia Ma
Yanru Chen
Jiali Guo
Tong Zhang
Tingting Yang
Hongyan Zhang
Fanghong Yan
Lin Han
Publication date: 01-12-2024
Publisher: Springer Berlin Heidelberg
Keyword: Stroke
Published in: Neurosurgical Review / Issue 1/2024
Print ISSN: 0344-5607
Electronic ISSN: 1437-2320
DOI: https://doi.org/10.1007/s10143-024-02436-7

2024 ASCO Annual Meeting

Springer Medicine

Prevalence and influencing factors of patient delay in stroke patients: a systematic review and meta-analysis

Abstract

2024 ASCO Annual Meeting

Springer Medicine

Abstract

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