Effects of intelligent psychosomatic intervention on symptom cluster management of patients with advanced cancer
10.3760/cma.j.cn115682-20220407-01670
- VernacularTitle:智能化心身干预方案在中晚期癌症患者症状群管理中的应用研究
- Author:
Yuling LI
1
;
Can CUI
;
Xiaoli LI
;
Xiaoya HOU
Author Information
1. 山西医科大学第一医院护理部，太原 030001
- Keywords:
Neoplasms;
Cognitive behavioral therapy;
Intelligence;
Symptom cluster management
- From:
Chinese Journal of Modern Nursing
2023;29(4):482-487
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the effect of intelligent psychosomatic intervention based on cognitive behavior therapy on pain, fatigue, sleep disorder symptom cluster and negative mood of patients with advanced cancer.Methods:From September to December 2021, 77 patients with intermediate and terminal cancer hospitalized in the Oncology Department of a Class Ⅲ Grade A hospital in Shanxi Province were selected as the study subject by convenient sampling. The patients were divided into control group ( n=39) and test group ( n=38) according to the wards. The control group received routine nursing of tumor diseases, while the test group received intelligent psychosomatic intervention on the basis of routine nursing. The Chinese version of Chinese Version of Brief Pain Inventory (BPI-C) , Chinese Version of Brief Fatigue Inventory (BFI-C) , Pittsburgh Sleep Quality Index (PSQI) , 7 item Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were used to evaluate the effects of the two groups before and after intervention. Results:After intervention, there was no statistical difference in pain scores between the two groups ( P>0.05) , but the pain scores of patients in the test group decreased after intervention compared with those before intervention, with a statistical difference ( P<0.05) . After the intervention, the fatigue scores of patients in both groups decreased, with a statistically significant difference compared with that before the intervention ( P<0.05) , and after the intervention, the fatigue scores in the test group were lower than those in the control group, with a statistically significant difference ( P<0.05) . After intervention, the scores of sleep, anxiety and depression in the test group were lower than those in the control group, with statistically significant differences ( P<0.05) . Conclusions:The intelligent symptom cluster management for patients with advanced cancer has preliminarily proved that it has certain effects on pain, fatigue, sleep disorder symptom clusters and psychological and emotional problems of patients, and is worthy of further research and promotion.
