Psychosis Research Unit, Association for the Development of Community Psychiatry and Care, Krakow, Poland.
Faculty of Psychology, SWPS University, Sopot, Poland.
Community Ment Health J. 2022 Nov;58(8):1495-1504. doi: 10.1007/s10597-022-00964-4. Epub 2022 Mar 25.
The aim of this study was to assess satisfaction with care and to identify the predictors of this variable among sociodemographic, clinical and social data in a group of patients suffering from schizophrenia under treatment in community mental health teams. The study included 90 patients with a diagnosis of schizophrenia under the care of community mental health teams. Positive and Negative SyndromeScale, Verona Service Satisfaction Scale, Disability Assessment Schedule, Social Network Index and a loneliness scale (UCLA Loneliness Scale)were used in the study. Prognostic factors for higher satisfaction with care in the multivariate model involved: level of disability (Beta = -0.46, p < 0.001), duration of treatment under a CMHT (Beta = 0.36, p < 0.001), age (Beta = -0.37,p < 0.001), and education (Beta = -0.30, p = 0.002). The model explained 43% of the variance in the dependent variable. 1.Satisfaction with care in a CMHT was high. 2. Higher patient satisfaction could be predicted based on a lower level of disability, longer duration of treatment under a CMHT, lower age and lower education.
这项研究的目的是评估患者对社区精神卫生团队治疗的满意度,并从社会人口学、临床和社会数据中确定该变量的预测因素。该研究纳入了正在接受社区精神卫生团队治疗的 90 名精神分裂症患者。研究中使用了阳性和阴性症状量表、维罗纳服务满意度量表、残疾评估量表、社会网络指数和孤独量表(UCLA 孤独量表)。在多变量模型中,对更高的护理满意度有预测作用的预后因素包括:残疾程度(Beta=-0.46,p<0.001)、在 CMHT 下的治疗时间(Beta=0.36,p<0.001)、年龄(Beta=-0.37,p<0.001)和教育程度(Beta=-0.30,p=0.002)。该模型解释了因变量方差的 43%。1.患者对 CMHT 的护理满意度较高。2.可根据较低的残疾程度、在 CMHT 下更长的治疗时间、较低的年龄和较低的教育程度来预测患者满意度的提高。