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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Stroke

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1683780

Level of discharge readiness and influencing factors in ischaemic stroke patients: A descriptive, cross-sectional study

Provisionally accepted
Xiaolu  BaiXiaolu Bai1Lei  GaoLei Gao1Hongli  LiHongli Li1*Ruiling  LiRuiling Li2*Ying  ZhangYing Zhang1Lingyu  HanLingyu Han3Dandan  LiangDandan Liang1Yining  WangYining Wang4Yurui  ZhangYurui Zhang1Wenjia  YangWenjia Yang5
  • 1Huaihe Hospital, Henan University, Kaifeng, China
  • 2Technology and Media University of Henan Kaifeng, Kaifeng, China
  • 3The First Affiliated Hospital of Henan University, Kaifeng, China
  • 4Guangzhou Nanyang Polytechnic College, Guangzhou, China
  • 5Jinzhou Medical University, Jinzhou, China

The final, formatted version of the article will be published soon.

Objectives:This study aims to evaluate readiness for hospital discharge (RHD) levels in ischemic stroke patients and identify influencing factors, providing evidence for targeted post-discharge interventions to improve secondary prevention outcomes. Materials and methods:In this context, we conducted a descriptive cross-sectional study to investigate and analyse the factors influencing discharge readiness among 220 patients with ischaemic stroke from 1 June to 31 December 2024 in a tertiary hospital in China.Statistical analyses were performed using SPSS 26.0, with significant results visualised in GraphPad Prism 9.0. Descriptive statistical analysis of frequency, component ratio, and mean ± standard deviation was conducted using a self-made general sociological data and disease characteristics questionnaire, the Readiness for Hospital Discharge Scale (RHDS), and the Quality of Discharge Teaching Scale (QDTS), and single-factor analysis was performed by independent sample t-test and one-way ANOVA. Pearson correlation analysis was used to describe the relationship between the two scales. Single-factor and correlation analyses of statistically significant variables were included in the equation, and multiple stepwise linear regression analysis was performed to test, interpret, and analyse the collected data. Results:The readiness score of ischaemic stroke patients, as measured by the readiness scale, was 6.13 ± 0.75 points. Results from multiple linear regression analysis indicated that the quality of discharge guidance, length of hospital stay, presence of comorbid conditions, frequency of stroke occurrence, and mRS scores were independent factors influencing caregiver readiness (p < 0.05). Conclusions:Readiness for discharge among ischaemic stroke patients is inadequate and positively correlated with the quality of discharge guidance. Patients with shorter hospital stays, a higher number of comorbid conditions, increased frequency of stroke occurrence, and higher mRS scores exhibited lower readiness for discharge. These findings suggest that healthcare professionals should enhance the quality of discharge education and provide targeted interventions for patients with shorter hospitalisation and more severe conditions. Additionally, establishing a secondary prevention support mechanism is essential to improve discharge readiness and ensure better post-discharge outcomes for ischaemic stroke patients. This will ensure their safe transition from hospital to home.

Keywords: Patients with ischaemic stroke, Discharge readiness, Influencing factors, Level of discharge readiness, Transitional care

Received: 18 Aug 2025; Accepted: 30 Sep 2025.

Copyright: © 2025 Bai, Gao, Li, Li, Zhang, Han, Liang, Wang, Zhang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Hongli Li, mingmenguixiu1001@163.com
Ruiling Li, kflrl@163.com

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