Background: Effective self-management practices post-stroke have been shown to decrease mortality rates and enhance the quality of life
for patients. While existing studies have explored various factors impacting self-management, further investigation is necessary to identify
key determinants that influence self-management and aid in preventing recurrent strokes.
Objectives: This study aims to identify the factors that influence self-management among stroke survivors to prevent recurrent attacks.
Methods: A cross-sectional study was conducted in April 2023 a stroke foundation in Bali, Indonesia, involving 116 post-stroke patients
recruited through non-probability consecutive sampling. Data collection utilized the Stroke Self-Management Questionnaire, with
analysis performed using chi-square and logistic regression methods.
Results: Gender and age did not exhibit significant associations with self-management. However, regression analysis revealed that
education (P=0.002, OR=2.136), previous stroke history (P<0.001, OR=4.122), and pre-existing medical conditions (P=0.011, OR=7.151)
were significantly correlated with self-management.
Conclusion: The study highlights the significance of education level, prior stroke experience, and comorbid conditions as influential
factors affecting self-management and the likelihood of recurrent stroke attacks. Understanding these determinants is crucial for
designing tailored interventions and support systems to enhance self-management practices in stroke patients.