基于慢性疾病轨迹模式的护理干预在血液透析患者中的应用

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Abstract Objective To explore the application effect of nursing intervention based on chronic disease locus model in hemodialysis (HD) patients. Methods A total of 120 patients with end-stage renal disease who underwent HD in Nanhai Fourth People′s Hospital of Foshan from July 2019 to June 2020 were selected and divided into the control group and the observation group according to random number table method, 60 cases in each group. The control group was given routine nursing, and the observation group was given nursing intervention based on chronic disease track mode;the changes of anxiety, depression, coping style and quality of life of the two groups before and after intervention were compared. Results Before the intervention, there were no significant differences in the scores of anxiety, depression,coping style and quality of life between the two groups (P＞0.05). After the intervention, the scores of anxiety, depression, avoidance dimension and yield dimension of the two groups were lower than those before the intervention, except for the physiological function dimension of the quality of life of the control group, the scores of the face dimension and other dimensions of the quality of life of the two groups were higher than those before the intervention, the differences were statistically significant (P＜0.05). After the intervention, the scores of anxiety, depression, avoidance and yield in the observation group were lower than those in the control group, while the scores of face dimension and quality of life in the observation group were higher than those in the control group, the differences were statistically significant (P＜0.05). Conclusion The nursing intervention based on chronic disease trajectory model can significantly alleviate the anxiety and depression of HD patients, promote the patients to actively deal with the disease and treatment, and improve the quality of life.

Key words： Chronic disease trajectory model Hemodialysis Negative psychology Coping style Quality of life

Received: 21 January 2021

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