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欧洲服务映射时间表(ESMS):一种用于描述和分类心理健康服务的工具的开发

The European Service Mapping Schedule (ESMS): development of an instrument for the description and classification of mental health services.

作者信息

Johnson S, Kuhlmann R

机构信息

Department of Psychiatry and Behavioural Sciences, University College London, UK.

出版信息

Acta Psychiatr Scand Suppl. 2000;405:14-23.

Abstract

OBJECTIVE

This paper describes the development of an instrument for description and classification of mental health services and for measurement of service use. Purposes to be served by the instrument include: (i) identification of gaps in the spectrum of services in a catchment area; (ii) obtaining background information which may be important to understanding why apparently similar interventions lead to different outcomes in different areas; (iii) investigating how introduction of a particular type of service influences use of other local services; and (iv) understanding the relationship between sociodemographic factors and service use.

METHOD

The instrument was developed through meetings of an international expert panel and pilot stages in several European countries.

RESULTS

Use of the European Mapping Service Mapping Schedule (ESMS) appears feasible in several countries and allowed description and classification of the full range of services identified within each of the study catchment areas.

CONCLUSION

The ESMS promises to fill a gap in the technology available for mental health services research. Further practical experiences of its use for a variety of purposes in a variety of settings are now needed to indicate how far the ESMS does successfully generate data which are useful to researchers and planners.

摘要

目的

本文描述了一种用于描述和分类心理健康服务以及衡量服务使用情况的工具的开发。该工具旨在实现以下目的:(i)识别集水区内服务范围的差距;(ii)获取可能有助于理解为何看似相似的干预措施在不同地区会产生不同结果的背景信息;(iii)调查引入特定类型的服务如何影响其他当地服务的使用;以及(iv)理解社会人口因素与服务使用之间的关系。

方法

该工具是通过国际专家小组会议以及在几个欧洲国家的试点阶段开发出来的。

结果

在几个国家使用欧洲映射服务映射表(ESMS)似乎是可行的,并且能够对每个研究集水区内确定的所有服务进行描述和分类。

结论

ESMS有望填补心理健康服务研究可用技术方面的空白。现在需要在各种环境中针对各种目的使用它的更多实际经验,以表明ESMS在多大程度上能够成功生成对研究人员和规划者有用的数据。

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