Objective:To analyze the influencing factors of music relaxation therapy to improve symptoms of depressive disorder and the construction of the corresponding prediction model.Methods:A total of 226 patients with depression who visited Shandong Mental Health Center from January 2018 to January 2020 were selected and treated with music relaxation therapy.According to the reduction rate of BPRS score after music relaxation therapy, patients were divided into effective group (reduction rate greater than or equal to 25%) and ineffective group (reduction rate less than 25%), and the factors influencing symptom improvement of patients in the two groups were analyzed.Positive and negative Symptom Scale (PANSS score) was used to evaluate the disease severity of patients. Patients with PANSS score less than 4 were classified as mild, PANSS score of 5 to 6 was classified as moderate, and PANSS score greater than 6 was classified as severe.Logistic multifactor regression method was used to analyze the influencing factors of music relaxation therapy on the improvement of symptoms in patients with depressive disorder, establish the prediction model of influencing factors, verify the authenticity and reliability of the model, and draw the prediction column chart of music relaxation therapy on the improvement of symptoms in patients with depressive disorder.Results:There were statistically significant differences between the two groups in gender, education level, family history of mental illness and severity of illness before treatment ( P<0.05). Logistic multifactor analysis showed that gender, family history of mental illness, severity of illness before treatment, HAMD score and HAMA score were the related factors affecting the therapeutic effect of music relaxation therapy on patients with depressive disorder ( P<0.05). The predictive model of the influence factors of music relaxation therapy on the improvement of symptoms of patients with mental disorders was constructed with female, no family history of mental illness, mild condition before treatment, HAMD score (less than7 points) and HAMA score (less than 8 points). The AUC (95% CI) was 0.631 (0.555~0.762), indicating a high accuracy of the predictive model. The predicted incidence of symptom improvement was consistent with the actual incidence. Conclusions:Female, no family history of mental illness, and mild symptoms of mental disorder before treatment respond better to music relaxation therapy. The predictive model constructed by the research can provide a reference for the selection of treatment options for patients with mental disorders.

从暴力行为发生的识别、评估和处理三方面总结了国内精神科暴力风险管理的研究现状,同时介绍了国外精神科暴力风险管理的先进经验及对我国风险管理的启示,强调要转变暴力风险管理理念,完善我国精神科医院暴力的法律、法规及指南,为病人创造安全的住院环境,做好精神科护理人员的自我保护知识和技能培训,建立适合我国国情的暴力风险管理体系,从而减少暴力事件的发生.

目的 给予门诊抑郁症患者综合性护理干预,探讨其对于患者负性情绪的护理影响.方法 随机选取山东省精神卫生中心门诊于2014年6月—2016年6月期间接诊的98例抑郁症患者,分组采用随机数字表法.患者平均分配后设置为观察护理组以及对照护理组.对照护理组常规护理,观察护理组给予综合性护理干预,对比两组治疗前后抑郁情况、护理满意度.结果 观察护理组护理后汉密顿抑郁量表评分(13.68±1.10)分以及抑郁自评量表评分(38.52±2.03)分均低于对照护理组,满意度(95.92%)高于对照护理组(P<0.05).结论 对门诊抑郁症患者采取综合性护理干预可缓解患者抑郁症状,提升护理满意度,应加以推广应用.