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迈向健康专业毕业生实习地点的国家纵向跟踪框架。

Towards a National Longitudinal Tracking Framework of Health Graduate Practice Locations.

作者信息

Versace Vincent L, Harvey Pam, Argus Geoff, Howard Christine, Brown Leanne

机构信息

Deakin Rural Health, School of Medicine, Deakin University, Warrnambool, Victoria, Australia.

Monash Rural Health, Monash University, Bendigo, Victoria, Australia.

出版信息

Aust J Rural Health. 2025 Oct;33(5):e70085. doi: 10.1111/ajr.70085.

Abstract

AIMS

Workforce maldistribution is a challenge to the equitable provision of healthcare in Australia. This Commentary details how a multi-university, large-scale, and growing data asset is positioned to contribute strategically and operationally to addressing national workforce priorities.

CONTEXT

The Nursing and Allied Health Graduate Outcome Tracking (NAHGOT) study is a prospective longitudinal research project with a commitment to nationwide geographical coverage. NAHGOT links practice location data (the outcome) from the Australian Health Practitioner Regulation Agency (Ahpra) with university administrative records, such as admission and placement data (explanatory variables). NAHGOT also links external surveys and publicly available spatial data describing socio-economic conditions and access to services. There are seven universities formally part of the collaboration, with five others in the process of joining. NAHGOT has established a framework including project governance, data linkage and management protocols, and a central repository for de-identified data.

APPROACH

The background of NAHGOT, the benefits to the Rural Health Multidisciplinary Training program, current limitations and challenges, and the case for scale-up and future direction are described.

CONCLUSION

Universities are uniquely positioned to lead graduate tracking as they have access to a suite of key explanatory variables not available elsewhere. Increasing the number of participating universities within NAHGOT is a priority, as is broadening the pool of disciplines beyond those covered by Ahpra. The geo-enrichment of placement and practice data is also a priority. This will allow a more granular understanding of local workforce dynamics that can be overlooked if analysis is limited to existing geographical classifications.

摘要

目标

劳动力分布不均是澳大利亚公平提供医疗服务面临的一项挑战。本评论详细阐述了一个多大学、大规模且不断增长的数据资产如何在战略和运营层面为解决国家劳动力优先事项做出贡献。

背景

护理与相关健康专业毕业生成果跟踪(NAHGOT)研究是一个前瞻性纵向研究项目,致力于覆盖全国范围。NAHGOT将澳大利亚健康从业者监管局(Ahpra)的执业地点数据(结果)与大学行政记录(如录取和安置数据,解释变量)相链接。NAHGOT还链接了外部调查以及描述社会经济状况和服务可及性的公开可用空间数据。有七所大学正式参与了该合作项目,另有五所大学正在加入过程中。NAHGOT已建立了一个框架,包括项目治理、数据链接和管理协议,以及一个用于匿名数据的中央存储库。

方法

描述了NAHGOT的背景、对农村健康多学科培训项目的益处、当前的局限性和挑战,以及扩大规模的理由和未来方向。

结论

大学在引领毕业生跟踪方面具有独特地位,因为它们能够获取一系列其他地方无法获得的关键解释变量。增加NAHGOT参与大学的数量是当务之急,扩大Ahpra涵盖学科之外的学科范围也是如此。安置和执业数据的地理信息丰富化也是一个优先事项。这将使人们能够更细致地了解当地劳动力动态,如果分析仅限于现有的地理分类,这些动态可能会被忽视。

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