Status quo and influencing factors of self-management behavior in high-risk stroke patients
10.3760/cma.j.cn115682-20230926-01267
- VernacularTitle:脑卒中高危患者自我管理行为现状及影响因素分析
- Author:
Mengxia CHEN
1
;
Wenyao CHEN
;
Yanqiu WENG
;
Dongmei LI
;
Longjuan YU
;
Lifen GAN
;
Lingjuan ZHANG
Author Information
1. 海军军医大学第一附属医院临床护理教研室，上海 200433
- Keywords:
Stroke;
High risk;
Self-management;
Influencing factor;
Random forest
- From:
Chinese Journal of Modern Nursing
2024;30(14):1840-1845
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the status quo and influencing factors of self-management behavior in high-risk stroke patients, so as to provide a basis for improving their self-management behavior.Methods:From March to June 2023, convenience sampling was used to select 395 high-risk stroke patients admitted to the First Affiliated Hospital of Naval Medical University as the study subject. A survey was conducted on patients using the General Information Questionnaire, Self-management Behavior Scale for High-risk Stroke Patients, and Cerebral Apoplexy Knowledge Questionnaire. Pearson correlation was used to analyze the correlation between self-management behavior and stroke knowledge. A total of 395 questionnaires were distributed, and unqualified questionnaires (such as regular or repetitive responses, conflicting options before and after) were excluded. Finally, 387 valid questionnaires were collected, with an effective response rate of 97.97%.Results:The score of the Self-management Behavior Scale for High-risk Stroke Patients for 387 high-risk stroke patients was (137.60±25.47), with a score indicator of 62.53%, which was at a moderate level. The score of the Cerebral Apoplexy Knowledge Questionnaire was (19.26±10.19), which was at a low level. The random forest algorithm showed that the importance order of influencing factors was stroke knowledge, number of ways to obtain health information, educational level, number of risk factors, frequency of physical examinations, medical insurance, age, work situation, and gender. The Lasso regression indicated that there were four influencing factors corresponding to the minimum error. The top four factors in importance were included in multiple linear regression, and the results showed that educational level, number of risk factors, number of ways to obtain health information, and stroke knowledge were the influencing factors of self-management behavior in high-risk stroke patients ( P<0.05) . Conclusions:The self-management behavior of high-risk stroke patients was at a moderate level. Medical and nursing staff should strengthen stroke knowledge education, provide personalized education for different risk factors, and improve the self-management of the target population to reduce the incidence of stroke.
