Self-Management Status and Influencing Factors Among Patients with Stroke
DOI:
https://doi.org/10.6911/WSRJ.202606_12(6).0004Keywords:
Stroke; Self-management; Self-efficacy; Influencing factors.Abstract
This study aimed to investigate the current status of self-management among patients with stroke in a tertiary hospital in Shaanxi Province and to explore the influencing factors of their self-management behaviours. This study included 104 stroke patients who were diagnosed and treated between April and October 2025. Data were collected using a general information questionnaire, the Stroke Self-Management Behaviour Scale, and the Stroke Self-Efficacy Scale, and statistical analyses were performed to identify the factors influencing self-management behaviours. The results showed that the overall level of self-management among the stroke patients was moderate to high, with a mean self-management score of 168.12 ± 18.56. Specifically, the scores of each dimension were as follows: disease management (40.86 ± 6.65), medication safety management (18.46 ± 1.90), diet management (23.64 ± 2.78), daily life management (27.90 ± 3.84), emotional management (17.64 ± 2.78), social function and interpersonal management (19.47 ± 3.17), and rehabilitation exercise management (20.13 ± 5.48). Univariate analysis revealed that age, education level, current employment status, recurrence risk classification, and self-efficacy had significant effects on self-management behaviours (P < 0.05). Further multiple linear regression analysis confirmed that these five factors (age, education level, current employment status, recurrence risk classification, and self-efficacy) were independent influencing factors of self-management behaviours among stroke patients. In conclusion, the self-management level of stroke patients in this study was moderate to relatively high; healthcare professionals should take the relevant influencing factors into consideration and implement individualized intervention strategies to improve the patients’ self-management abilities and further enhance their quality of life.
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[1] Qiao, T., Chen, D., Zheng, W., et al. (2016). Correlation between the knowledge and behavior for the self-management of stroke patients. Modern Preventive Medicine, 43(1), 187–192.
[2] Wang, L. D. (2017). China stroke prevention and treatment report (2017). People's Medical Publishing House. ISBN 978-7-117-25533-2.
[3] Miller, K. K., Combs, S. A., & Van Puymbroeck, M. (2013). Fatigue and pain: Relationships with physical performance and patient beliefs after stroke. Topics in Stroke Rehabilitation, 20(4), 347–355. https://doi.org/10.1310/tsr2004-347
[4] Neurology Branch of Chinese Medical Association, & Cerebrovascular Disease Group of Neurology Branch of Chinese Medical Association. (2018). Chinese guidelines for the diagnosis and treatment of acute ischemic stroke 2018. Chinese Journal of Neurology, 51(9), 666–682.
[5] Neurology Branch of Chinese Medical Association, & Cerebrovascular Disease Group of Neurology Branch of Chinese Medical Association. (2019). Chinese guidelines for the diagnosis and treatment of intracerebral hemorrhage (2019). Chinese Journal of Neurology, 52(12), 994–1005.
[6] Wang, Y. Q. (2012). Construction and application of self-management intervention project for patients after stroke [Master’s thesis]. Chengdu University of Traditional Chinese Medicine.
[7] Lorig, K. R., Sobel, D. S., Stewart, A. L., et al. (1999). Evidence suggesting that a chronic disease self-management program can improve health status while reducing hospitalization: A randomized trial. Medical Care, 37(1), 5–14. https://doi.org/10.1097/00005650-199901000-00002
[8] Zhao, H., Zhou, L., Hu, L., Chen, R., Dong, L., Zhao, Q., & Gong, L. (2024). Summary of best evidence for rehabilitation management of patients with motor dysfunction after stroke. Journal of Central South University (Medical Science), 49(4), 497–507.
[9] Mu, X., Li, J., & Liu, R. (2016). The current status and influencing factors of self-management behaviors in patients with first stroke. Chinese Journal of Nursing, 51(3), 290–293.
[10] Liu, Y., Jin, Y., Zhao, Y., et al. (2012). The current status and influencing factors of health behaviors in young stroke patients. Chinese Journal of Nursing, 47(1), 58–61.
[11] Szczepańska-Gieracha, J., & Mazurek, J. (2020). The role of self-efficacy in the recovery process of stroke survivors. Psychology Research and Behavior Management, 897–906. https://doi.org/10.2147/PRBM.S256161
[12] Norris, M., Jones, F., Kilbride, C., & Victor, C. (2014). Exploring the experience of facilitating self-management with minority ethnic stroke survivors: A qualitative study of therapists' perceptions. Disability and Rehabilitation, 36(26), 2252–2261. https://doi.org/10.3109/09638288.2014.898100
[13] Chen, Z., Zhao, R., & Tong, L. (2015). Effect of combined traditional Chinese medicine and western medicine for patients with acute stroke complicated with depression. International Journal of Psychiatry, 42(1), 43–46.
[14] Nott, M., Wiseman, L., Seymour, T., et al. (2021). Stroke self-management and the role of self-efficacy. Disability and Rehabilitation, 43(10), 1410–1419. https://doi.org/10.1080/09638288.2019.1689437
[15] Yan, D., Hu, Y., & Wang, H. (2015). Current status and influencing factors of self-management behaviors in patients with hyperthyroidism during medication. Journal of Nursing, 22(24), 50–53.
[16] Chen, S., Xu, Y., Huang, N., et al. (2017). Comparative analysis on social support, simplified coping, general self-efficacy, age discrimination among the elderly and young HIV/AIDS patients. Modern Preventive Medicine, 44(2), 258–287, 319.
[17] Jiang, S., Shen, L., Ruan, H., et al. (2014). Family function and health behaviors of stroke survivors. Chinese Journal of Nursing, 49(1), 849–853.
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