分析澳大利亚国家心理健康服务活动和能力数据收集中的数据项和差距,以促进地区综合服务规划。

Claudia Pagliaro, Arabella Mundie, Harvey Whiteford, Sandra Diminic
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引用次数: 0

摘要

背景:服务数据是政策制定者和规划者的重要信息来源。澳大利亚在开发和实施心理健康服务数据收集方面做了大量工作。鉴于这种投资水平,所收集的数据必须符合目的要求。研究目的本研究旨在(1) 识别澳大利亚现有的国家授权和尽力收集的心理健康服务活动(如服务场合)和能力(如全职等效工作人员)数据;以及 (2) 审查已识别数据收集的内容,以确定数据开发的机会。方法:通过灰色文献检索来确定数据集。如有元数据和/或数据,则对其进行分析。结果:确定了 20 个数据集:确定了 20 个数据集。对于通过多种资金流获得资助的服务,数据通常被收集到与每个资助者相对应的多个数据集中。数据集的内容和格式差异很大。与其他服务部门不同,社会心理支持服务没有全国性的强制数据收集。一些数据集的实用性有限,因为它们不包括关键活动数据;另一些数据集则不包括服务类型等描述性变量。劳动力数据往往没有收集,即使收集了数据,也往往不全面。结论研究结果是决策者和规划者的重要信息来源,他们利用服务数据来确定优先事项。影响:本研究为数据开发提供了建议,包括强制要求对社会心理支持进行标准化报告、填补劳动力数据缺口、简化数据收集以及在某些数据收集中纳入关键的缺失数据项。
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Analysis of data items and gaps in Australia's national mental health services activity and capacity data collections for integrated regional service planning.

Background: Services data are an important source of information for policymakers and planners. In Australia, significant work has been undertaken to develop and implement collections of mental health services data. Given this level of investment, it is important that collected data are fit for purpose. Objective: This study aimed to: (1) identify existing national mandated and best endeavours collections of mental health services activity (e.g. occasions of service) and capacity (e.g. full-time equivalent staff) data in Australia; and (2) review the content of identified data collections to determine opportunities for data development. Method: A grey literature search was conducted to identify data collections. Where available, metadata and/or data were analysed. Results: Twenty data collections were identified. For services that received funding via multiple funding streams, data were often captured across several collections corresponding with each funder. There was significant variability in the content and format of collections. Unlike other service sectors, there is no national, mandated collection for psychosocial support services. Some collections have limited utility as they do not include key activity data; others do not include descriptive variables like service type. Workforce data are often not collected, and where data are collected, they are often not comprehensive. Conclusion: Findings are an important source of information for policymakers and planners who use services data to inform priorities. Implications: This study provides recommendations for data development, including mandating standardised reporting for psychosocial supports, filling workforce data gaps, streamlining data collections and including key missing data items in some collections.

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