A framework for classifying state involuntary commitment statutes

Administration and Policy in Mental Health(1996)

引用 6|浏览5
暂无评分
摘要
A typology for classifying state involuntary commitment statutes is described. The basis for classifying the statutes was the severity of the state criteria, the number of possible alternatives available for commitment purposes and, the need for evidence. Based on the classification system, an empirical analysis examined the relationship between the stringency levels of the commitment statutes and rates of admission to state and county hospitals. A log linear regression model was specified using admission rates as the dependent variable and a host of sociodemographic and other supply factors as independent variables. The results of the analysis support the hypothesis that states with stringent involuntary commitment statutes have fewer admissions to state and county hospitals. The typology used in this analysis has numerous public policy applications and can be updated easily as states change their statute criteria.
更多
查看译文
关键词
Public Health, Linear Regression, Regression Model, Classification System, Public Policy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要