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Health workforce planning in Europe: Creating learning country clusters

机译:欧洲卫生人力规划:创建学习型国家集群

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In this article, the different dimensions and determinants of health workforce planning (HWF) are investigated to improve context-sensitivity and mutual learning among groups of countries with similar HWF characteristics. A novel approach to scoring countries according to their HFW characteristics and type of planning is introduced using data collected in 2012 by a large European Union project involving 35 European countries (the 'Matrix Study' [8]). HWF planning is measured in terms of three major dimensions: (1) data infrastructure to monitor the capacities and dynamics of health workforces, (2) the institutions involved in defining and implementing labour market regulations, and (3) the availability of models to estimate supply-demand gaps and to forecast imbalances. The result shows that the three dimensions of HWF planning are weakly interrelated, indicating that countries invest in HWF in different ways. Determinant analysis shows that countries with larger health labour markets, National Healthcare Service (NHS), mobility, and strong primary health care score higher on HWF planning dimensions than others. Consequently, the results suggest that clustering countries with similar conditions in terms of HWF planning is a way forward towards mutual and contextual learning. (C) 2015 Elsevier Ireland Ltd. All rights reserved.
机译:在本文中,对卫生人力计划(HWF)的不同维度和决定因素进行了研究,以提高具有类似HWF特征的国家集团之间的环境敏感性和相互学习。根据2012年一项涉及35个欧洲国家的大型欧盟项目收集的数据,引入了一种根据国家的HFW特征和规划类型对国家进行评分的新颖方法(“矩阵研究” [8])。 HWF规划从三个主要方面进行衡量:(1)数据基础结构以监视卫生人力的能力和动态;(2)参与制定和实施劳动力市场法规的机构;(3)可用模型估算供需缺口和预测失衡。结果表明,HWF规划的三个维度之间的关联性很弱,这表明各国以不同的方式投资于HWF。行列式分析表明,拥有更大的卫生劳动力市场,国家医疗服务体系(NHS),流动性和强大的初级卫生保健服务的国家,在HWF规划维度上的得分高于其他国家。因此,结果表明,在HWF规划方面将条件相似的国家聚集起来是走向相互学习和情境学习的一种方式。 (C)2015 Elsevier Ireland Ltd.保留所有权利。

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