Lauriks Steve, de Wit Matty A S, Buster Marcel C A, Fassaert Thijs J L, van Wifferen Ron, Klazinga Niek S
Department of Epidemiology and Health Promotion (E&G), Public Health Service Amsterdam (GGD Amsterdam), Nieuwe Achtergracht 100, 1018 WT, Amsterdam, The Netherlands,
Community Ment Health J. 2014 Oct;50(7):870-8. doi: 10.1007/s10597-014-9707-x. Epub 2014 Feb 11.
The current study set out to develop a decision support tool based on the Self-Sufficiency Matrix (Dutch version; SSM-D) for the clinical decision to allocate homeless people to the public mental health care system at the central access point of public mental health care in Amsterdam, The Netherlands. Logistic regression and receiver operating characteristic-curve analyses were used to model professional decisions and establish four decision categories based on SSM-D scores from half of the research population (Total n = 612). The model and decision categories were found to be accurate and reliable in predicting professional decisions in the second half of the population. Results indicate that the decision support tool based on the SSM-D is useful and feasible. The method to develop the SSM-D as a decision support tool could be applied to decision-making processes in other systems and services where the SSM-D has been implemented, to further increase the utility of the instrument.
当前研究旨在基于自给自足矩阵（荷兰语版本；SSM-D）开发一种决策支持工具，用于在荷兰阿姆斯特丹公共精神卫生保健的中央接入点，为将无家可归者分配到公共精神卫生保健系统的临床决策提供支持。使用逻辑回归和受试者工作特征曲线分析对专业决策进行建模，并根据来自一半研究人群（总数n = 612）的SSM-D分数建立四个决策类别。发现该模型和决策类别在预测另一半人群的专业决策方面准确可靠。结果表明，基于SSM-D的决策支持工具是有用且可行的。将SSM-D开发为决策支持工具的方法可应用于已实施SSM-D的其他系统和服务的决策过程，以进一步提高该工具的实用性。
