School of Social Work, Salem State University, Salem, MA, USA.
Soc Psychiatry Psychiatr Epidemiol. 2019 Jul;54(7):861-870. doi: 10.1007/s00127-018-1650-7. Epub 2019 Jan 2.
This study has the objective of assessing the psychiatric rehospitalization experience of a large cohort of persons with schizophrenia and modeling the effects of personal and systemic conditions on rehospitalization risk.
The study employs a secondary analysis of US data from Massachusetts' casemix database of all patients discharged from acute general hospital units. It focuses on 11,291 patients during 1994-2000 who were discharged from acute adult psychiatric units. Predictors used include basic demographics, length of stay, continuity of care with doctors and facilities, diagnoses, discharge referral, type of insurance, and distance to and selected socioeconomic characteristics of the patient's home zip code. Data are analyzed with descriptive statistics and modeled with the Cox proportional hazard model. The model was assessed through split-half reliability testing, the generalized R, and Harrell's Concordance Index.
Overall, 13.4% of patients were rehospitalized within 1 month; 38.9% within 1 year; and 64.1% within 5 years. Predictors that are most strongly associated with lower rehospitalization rates include continuity of care, discharge to a chronic hospital, and density of home zipcode, whereas discharge to another acute psychiatric unit had the greatest effect on increasing risk of rehospitalization. Overall the Cox model has generalized R of 0.343 and a Concordance Index of 0.734.
The results highlight the need to enhance the continuity of the relationships with providers, whether these are with the assigned psychiatrists or other therapists and case managers, as well as workplace issues involving staff turnover and hospital assignment and admitting policies.
本研究旨在评估一大群精神分裂症患者的精神科再入院经历,并构建个人和系统条件对再入院风险的影响模型。
本研究利用美国马萨诸塞州病例组合数据库中所有从急性综合医院出院患者的二次数据分析。研究重点是 1994-2000 年期间从急性成人精神科病房出院的 11291 名患者。所使用的预测因素包括基本人口统计学特征、住院时间、与医生和医疗机构的连续性、诊断、出院转介、保险类型以及患者家庭邮政编码的距离和选定的社会经济特征。使用描述性统计和 Cox 比例风险模型进行数据分析。通过分半可靠性测试、广义 R 和 Harrell 的一致性指数评估模型。
总体而言,13.4%的患者在 1 个月内再次住院;38.9%在 1 年内再次住院;64.1%在 5 年内再次住院。与较低再入院率最密切相关的预测因素包括连续性护理、出院至慢性医院和家庭邮政编码密度,而出院至另一家急性精神病院则对增加再入院风险的影响最大。总体而言,Cox 模型的广义 R 为 0.343,一致性指数为 0.734。
结果强调需要加强与提供者的关系连续性,无论是与指定的精神科医生还是其他治疗师和个案经理的关系,以及涉及员工流动、医院分配和入院政策的工作场所问题。