Calzavara Pinton Irene, Nibbio Gabriele, Bertoni Lorenzo, Cicale Andrea, Necchini Nicola, Zardini Daniela, Bosco Ubertino Ughetta, Cerati Caterina, Deste Giacomo, Barlati Stefano, Vita Antonio
Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Psychiatry Res. 2024 Dec;342:116240. doi: 10.1016/j.psychres.2024.116240. Epub 2024 Oct 31.
The economic burden of schizophrenia amounts for 1.5-3 % of healthcare expenses in developed countries, and ∼50 % derives from direct costs: 81 % of these are due to hospitalization, residential facilities and semi-residential facilities. Therefore, a better characterization of variables that influence direct costs represents a relevant issue. A total of 276 individuals with schizophrenia spectrum disorders receiving treatment from the Community Mental Health Centers of Brescia (Italy) were included in the study: for each participant socio-demographic, clinical and functional characteristics were assessed, and data related to the use of services in 2022 (then converted to costs) were collected. Regression analyses were performed to identify predictors of costs. A direct healthcare expenditure of 16477.23 (±32856.47) € per patient per year was identified. The main cost predictor was the PSP total score (p=0.005), followed by age of onset (p=0.020), and PANSS total score (p=0.033). Including PANSS sub-scales scores and PSP single items as potential predictors, the main predictor was the "socially useful activities" PSP item (p=0.002), followed by age of onset (p=0.011), and PANSS negative scale score (p=0.027). Our findings underline the need to implement rehabilitative intervention focused on the improvement of psychosocial functioning and negative symptoms, also to reduce healthcare expenses.
在发达国家,精神分裂症的经济负担占医疗费用的1.5%-3%,其中约50%来自直接成本:这些直接成本的81%是由于住院、住院设施和半住院设施。因此,更好地描述影响直接成本的变量是一个相关问题。本研究纳入了276名在意大利布雷西亚社区心理健康中心接受治疗的精神分裂症谱系障碍患者:对每位参与者的社会人口统计学、临床和功能特征进行了评估,并收集了2022年与服务使用相关的数据(然后转换为成本)。进行回归分析以确定成本的预测因素。确定每位患者每年的直接医疗支出为16477.23(±32856.47)欧元。主要的成本预测因素是PSP总分(p=0.005),其次是发病年龄(p=0.020)和PANSS总分(p=0.033)。将PANSS分量表分数和PSP单项作为潜在预测因素,主要预测因素是“社会有用活动”PSP项目(p=0.002),其次是发病年龄(p=0.011)和PANSS阴性量表分数(p=0.027)。我们的研究结果强调需要实施以改善心理社会功能和阴性症状为重点的康复干预措施,以降低医疗费用。