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Factors Affecting the Readmission of Patients with Stroke
1Evidence-Based Nursing Research Laboratory, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Insights
Stroke readmissions are high in China. Impaired physical function, chronic diseases, and socioeconomic status predict stroke patient readmissions, necessitating tailored interventions.
Area of Science:
- Neurology
- Public Health
- Epidemiology
Background:
- Stroke incidence is rising annually in China.
- High readmission rates among stroke patients pose a significant public health challenge.
Purpose of the Study:
- To describe the incidence of stroke readmissions in China.
- To identify predictors of all-cause and cardio-cerebrovascular-related readmissions in stroke patients.
- To inform strategies for reducing stroke patient readmission rates.
Main Methods:
- A cohort of 441 stroke patients was analyzed.
- The Andersen-Gill model was employed to assess factors influencing readmission.
- Readmission data, including causes and patient demographics, were collected and analyzed.
Main Results:
- 40% of stroke patients (163/441) experienced readmission.
- Higher Modified Rankin Scale (mRs) scores (indicating greater disability) significantly increased all-cause readmission risk.
- Advanced education and the presence of chronic diseases were associated with increased cardio-cerebrovascular-related readmissions.
Conclusions:
- Stroke patient readmission is linked to functional status, comorbidities, and socioeconomic factors.
- Findings highlight the need for culturally specific interventions, as foreign study results may not directly apply.
- Predictive models for stroke readmission should incorporate these identified patient-specific factors.
Background:
Incidence of stroke is increasing annually in China, the readmission rate of patients with stroke remains high.
Methods:
In total, 441 patients were enrolled in this study. We described the incidence of stroke readmissions. Furthermore, we used the Andersen-Gill model to explore the factors affecting all-cause readmission and cardio-cerebrovascular-related readmission of patients with stroke. Identification of these predictors can help reduce the readmission rate of patients with stroke.
Results:
1) In total, 441 patients with stroke were included. Among them, 163 (40%) had readmission records. Among them, 44 patients had readmission due to cardiovascular and cerebrovascular diseases, accounting for 10.70%. 2) The Modified Rankin Scale (mRs scale) score affected all-cause readmission of patients with stroke. Patients with stroke and a score of 5 were 5.46 times more likely to be readmitted than those with a score of 0 (HR = 5.46, 95% CI: 1.59∼18.7, P < 0.1). 3) Patients with college degree or above were 2.48 times more likely to have cardio-cerebrovascular-related readmission compared to those with junior high school education or below (HR = 2.48, 95% CI: 1.11∼5.54, P < 0.1). Patients with chronic diseases were 3.68 times more likely to have cardio-cerebrovascular-related readmission compared to those without chronic diseases (HR = 3.68, 95% CI: 1.61∼8.39, P < 0.1).
Conclusions:
The readmission of patients with stroke may be related to their physical activity function, chronic diseases, and socioeconomic status. When considering the factors predicting the readmission of patients with stroke, we cannot blindly draw on the results of relevant foreign studies.
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