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Chinese Journal of Cerebrovascular Diseases(Electronic Edition) ›› 2021, Vol. 15 ›› Issue (03): 175-180. doi: 10.11817/j.issn.1673-9248.2021.03.008

• Original Article • Previous Articles     Next Articles

A status survey of self-management of individuals with stroke and high risk of stroke in a Second-class hospital in Xinjiang

Bingxue Huang1, Ting Yang1, Jinyan Song1, Yan Wei1,()   

  1. 1. Medical Department Changji Branch of the First Affiliated Hospital of Xinjiang Medical University, Changji 831100, China
  • Received:2020-10-31 Online:2021-06-01 Published:2021-07-22
  • Contact: Yan Wei

Abstract:

Objective

To investigate the management status of risk factors and protective factors in order to promote self-management among inpatients at high risk of stroke in a second-class hospital in Xinjiang.

Methods

Demographic and behavioral information of 257 hospitalized patients were collected through questionnaires in the Changji Branch of the First Affiliated Hospital of Xinjiang Medical University from October 1th,2019 to December 31th, 2019. According to the self-management status, the patients were divided into all control groups (AC), partial control group (PC), and no control group (NC). The multivariant Logistic analysis was applied to analyze the factors influencing patients' self-management.

Results

Compared with the NC group, the protective factors for stroke related self-management in the PC group included Han nationality [Adjusted odds ratio (AOR)=3.373, 95%CI: 1.182-9.623, P=0.023], willingness to change adverse lifestyle (AOR=4.261, 95%CI: 1.484-12.237, P=0.007), belief in the significance of disease surveillance (AOR=5.601, 95%CI: 2.043-15.350, P=0.001), and willingness to carotid ultrasound (AOR=30.672, 95%CI: 10.035-93.754, P=0.001). Those significant protective factors in the AC group included the Han nationality (AOR=4.385, 95%CI: 1.060~18.139, P=0.041), received health guidance (AOR=10.405, 95%CI: 1.061~102.048, P=0.044), considered that disease surveillance was significant (AOR=22.400, 95%CI: 2.213~226.722, P=0.008), and underwent carotid ultrasound examination (AOR=16.143, 95%CI: 3.823~68.163, P=0.001). In terms of health education, 48.6% of patients hoped to receive inpatient guidance, 28.4% hoped to receive consultation in outpatient service, 24.9% hoped to receive educational manuals, and 20.6% hoped to obtain health knowledge through WeChat.

Conclusion

By analyzing the status of self-management of stroke patients and high-risk individuals, it was helpful to explore the protective factors that promote self-management, and to extend the influence of protective factors through health education, so as to enhance the motivation and efficiency of self-management of patients.

Key words: Stroke, Self-management, Influencing factors, Health education

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