ArticleEmergency medicine journal : EMJ2025
Factors associated with late hospital arrival in acute stroke patients of Bangladesh.
Article in Emergency medicine journal : EMJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Time Lost Is Brain Lost: Insights into Acute Ischaemic Stroke Delays in a Tertiary Care Super-speciality Centre in Jharkhand.Annals of neurosciences · 2026Article
- Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China.JMIR medical informatics · 2026Article
- Stroke patient admission timings and comparison with golden hour admissions at Tezpur Medical College and Hospital: A prospective study.Journal of family medicine and primary care · 2026Article
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Authors and funding
11 authors.
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Abstract
objectivesUnderutilisation of thrombolysis is a major problem in patients with stroke in Bangladesh as patients do not arrive within the therapeutic window due to delays in their way to emergency department. This study aims to assess the time delay from patients' symptom onset to arrival in the hospital and the factors that are associated with it.
methodsThis cross-sectional survey of a prospective cohort of stroke patients was conducted between January and March 2023. 448 stroke patients meeting the inclusion criteria were enrolled in the study from five tertiary-level hospitals in Bangladesh. After obtaining informed consent, trained data collectors conducted face-to-face interviews of the patient/patients' guardians via a pretested structured questionnaire. Stata (V.16) was used to analyse data. Median and IQRs were used to summarise quantitative variables, and qualitative variables were summarised using frequency and relative frequency. Pearson's χ
resultsThe median age of the patients was 61 years (54-70) and 63% were men. The majority hailed from rural (59.6%) areas and had primary (25.89%) education. The patients had an overall median prehospital delay of 14 (8-28) hours, 3 (1-6) hours of decision delay, 1 (0-2) hours of medical contact delay, and 14 (6.5-25.75) hours of referral delay. Patients with master's education (adjusted OR (AOR): 0.04, p=0.023) and private transport (AOR: 0.26, p=0.029) had a lower chance of late arrival. However, patients having unknown onset, self-medicating, having a previous history of stroke, and being admitted to a private hospital had a significantly higher chance of late arrival.
conclusionNearly 90% of the patients were late to arrive (>4.5 hours) at hospital and referral delay comprises the majority of the prehospital delay. Therefore, fast symptom recognition and the urgency of seeking healthcare as soon as symptoms appear should be the focus of public awareness efforts.
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