ArticleBMC neurology2018
Risk factors associated with 31-day unplanned readmission in 50,912 discharged patients after stroke in China.
Article in BMC neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Factors associated with post-stroke readmission: a systematic review and meta analysis.Scientific reports · 2025Pooled it
- Rate and key predictors of unplanned readmission following ischemic stroke: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Prediction Models for Post-Stroke Hospital Readmission: A Systematic Review.Public health nursing (Boston, Mass.)Pooled it
- Trial
- Integrated strategies of support and home care by family caregivers for prevention of hospital readmissions among stroke survivors.BMC health services research · 2025Article
- Hospital Readmission in Stroke Survivors in Social Vulnerability: Predictive Modeling with Machine Learning from the Perspective of the Chronic Conditions Care Model.International journal of environmental research and public health · 2025Article
- Risk factors analysis and nomograph model construction of unplanned readmission for ischemic stroke within 31 days in Wenzhou.Frontiers in neurology · 2025Article
- The effect of evidence-based discharge planning on the health outcomes of stroke patients with dysphagia: a prospective cohort study.Frontiers in neurology · 2025Article
- Females with diabetes have a higher risk of ischemic stroke readmission: a retrospective cohort study.BMC public health · 2024Article
- Changes in Cerebral Blood Flow and Diffusion-Weighted Imaging Lesions After Intracerebral Hemorrhage.Translational stroke research · 2022Review
- Review
- Spatial distribution of stroke readmission within 30 days and the influencing factors in Hunan Province.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022Article
- Combined Functional Assessment for Predicting Clinical Outcomes in Stroke Patients After Post-acute Care: A Retrospective Multi-Center Cohort in Central Taiwan.Frontiers in aging neuroscience · 2022Article
- Predicting 30-Day Readmission for Stroke Using Machine Learning Algorithms: A Prospective Cohort Study.Frontiers in neurology · 2022Article
- Risk of Mortality After an Arterial Ischemic Event Among Intracerebral Hemorrhage Survivors.The Neurohospitalist · 2022Article
- Validating World Health Organization cardiovascular disease risk charts and optimizing risk assessment in China.The Lancet regional health. Western Pacific · 2021Article
- Risk of 28-day readmissions among stroke patients in Malaysia (2008-2015): Trends, causes and its associated factors.PloS one · 2021Article
- Machine Learning-Enabled 30-Day Readmission Model for Stroke Patients.Frontiers in neurology · 2021Article
- Article
- Patient Readmission for Ischemic Stroke: Risk Factors and Impact on Mortality.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundUnplanned readmission within 31 days of discharge after stroke is a useful indicator for monitoring quality of hospital care. We evaluated the risk factors associated with 31-day unplanned readmission of stroke patients in China.
methodsWe identified 50,912 patients from 375 hospitals in 29 provinces, municipalities or autonomous districts across China who experienced an unplanned readmission after stroke between 2015 and 2016, and extracted data from the inpatients' cover sheet data from the Medical Record Monitoring Database. Patients were grouped into readmission within 31 days or beyond for analysis. Chi-squared test was used to analyze demographic information, health system and clinical process-related factors according to the data type. Multilevel logistic modeling was used to examine the effects of patient (level 1) and hospital (level 2) characteristics on an unplanned readmission ≤31 days.
resultsAmong 50,912 patients, 14,664 (28.8%) were readmitted within 31 days after discharge. The commonest cause of readmissions were recurrent stroke (34.8%), hypertension (22.94%), cardio/cerebrovascular disease (13.26%) and diabetes/diabetic complications (7.34%). Higher risks of unplanned readmissions were associated with diabetes (OR = 1.089, P = 0.001), use of clinical pathways (OR = 1.174, P < 0.001), and being discharged without doctor's advice (OR = 1.485, P < 0.001). Lower risks were associated with basic medical insurances (OR ranging from 0.225 to 0.716, P < 0.001) and commercial medical insurance (OR = 0.636, P = 0.021), compared to self-paying for medical services. And patients aged 50 years old and above (OR ranging from 0.650 to 0.985, P < 0.05), with haemorrhagic stroke (OR = 0.467, P < 0.001), with length of stay more than 7 days in hospital (OR ranging from 0.082 to 0.566, P < 0.001), also had lower risks.
conclusionsAge, type of stroke, medical insurance status, type of discharge, use of clinical pathways, length of hospital stay and comorbidities were the most influential factors for readmission within 31 days.
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