Factors associated with late hospital arrival in acute stroke patients of Bangladesh

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 χ2test and Mann-Whitney U test were used to explore the bivariate relationship between predictor and outcome variables. Finally, a binary logistic regression model was fit to explore the factors associated with delayed arrival (>4.5 hours) at the hospital.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.