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Regional health workforce monitoring as governance innovation: a German model to coordinate sectoral demand, skill mix and mobility

机译:区域卫生人力监测作为治理创新:德国模式,可协调部门需求,技能组合和流动性

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Background As health workforce policy is gaining momentum, data sources and monitoring systems have significantly improved in the European Union and internationally. Yet data remain poorly connected to policy-making and implementation and often do not adequately support integrated approaches. This brings the importance of governance and the need for innovation into play. Case The present case study introduces a regional health workforce monitor in the German Federal State of Rhineland-Palatinate and seeks to explore the capacity of monitoring to innovate health workforce governance. The monitor applies an approach from the European Network on Regional Labour Market Monitoring to the health workforce. The novel aspect of this model is an integrated, procedural approach that promotes a ‘learning system’ of governance based on three interconnected pillars: mixed methods and bottom-up data collection, strong stakeholder involvement with complex communication tools and shared decision- and policy-making. Selected empirical examples illustrate the approach and the tools focusing on two aspects: the connection between sectoral, occupational and mobility data to analyse skill/qualification mixes and the supply–demand matches and the connection between monitoring and stakeholder-driven policy. Conclusion Regional health workforce monitoring can promote effective governance in high-income countries like Germany with overall high density of health workers but maldistribution of staff and skills. The regional stakeholder networks are cost-effective and easily accessible and might therefore be appealing also to low- and middle-income countries.
机译:背景技术随着卫生人力政策的发展,欧盟和国际上的数据来源和监控系统得到了显着改善。但是,数据与决策和实施之间的联系仍然很薄弱,常常不能充分支持综合方法。这带来了治理的重要性和对创新的需求。案例本案例研究在德国联邦莱茵兰-普法尔茨州引入了区域卫生人力监测器,并试图探索监测技术创新卫生人力管理的能力。监控人员将欧洲区域劳动力市场监控网络的方法应用于卫生人力。该模型的新颖之处在于是一种集成的程序方法,该方法基于三个相互联系的支柱来促进治理的“学习系统”:混合方法和自下而上的数据收集,利益相关者强烈参与复杂的沟通工具以及共同的决策和政策制定制造。选定的经验示例说明了该方法和工具,重点放在两个方面:部门,职业和流动性数据之间的联系,以分析技能/资格组合和供需匹配,以及监测与利益相关者驱动的政策之间的联系。结论区域卫生人力监测可以促进像德国这样的高收入国家的有效治理,因为卫生工作者的总体密度很高,但人员和技能分布不均。区域利益相关者网络具有成本效益,并且易于访问,因此可能也吸引中低收入国家。

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