Objective: To explore the trajectory of changes and influencing factors of demoralization syndrome in postoperative chemotherapy patients with breast cancer. Methods: Using convenience sampling method, 218 postoperative chemotherapy patients for breast cancer in a tertiary class A hospital in Shanxi province were selected. Baseline data of patients were collected by the General Situation Survey Form, Demoralization Scale Mandarin Version, Social Constraints Scale, Benefit Finding Scales, Comprehensive Scores for Financial Toxicity Based on the Patient-Reported Outcome Measures, and the evaluation of the patients before chemotherapy, after the first chemotherapy, and after the end of the third chemotherapy to identify the trajectory of the demoralization syndrome, and multiple Logistic regression was used to analyze the predictors of different development trajectory categories. Results: Three developmental trajectories of loss of demoralization syndrome were identified in postoperative chemotherapy patients with breast cancer: high demoralization syndrome tortuously declining group(14.7%), medium demoralization syndrome slowly declining group(47.7%), and low demoralization syndrome continuously increasing group(37.6%). Multiple Logistic regression analysis showed that patient personality type, family per capita monthly income, pathological stage, concomorbidities, and baseline social constraints, benefit finding, financial inadequacy were the influencing factors for different developmental trajectory categories of postoperative chemotherapy patients for breast cancer (P<0.05)compared with low demoralization syndrome continuously increasing group, patients with comorbidities, high pathological stage, large social constraints, introverision, low benefit finding, low level of monthly family income and high economic toxicity were more likely to fall into the high demoralization syndrome tortuously declining group. Conclusion: The demoralization syndrome of postoperative chemotherapy patients for breast cancer is divided into three changing trajectories with population heterogeneity, and targeted intervention should be implemented according to the influencing factors. |
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