Healthcare systems across the world are increasingly challenged by workforce shortages and misdistribution of skills. Yet, no comprehensive European approach to health human resources (HHR) policy exists and action remains fragmented. This scoping study seeks to contribute to the debates by providing an overview of existing HHR research, and by exploring the challenges of a European approach with a focus on workforce planning. In terms of methods, we build on a scoping review comprising literature analysis and qualitative data gathered from policy experts. In our analysis we observe an overall lack of integrated HHR approaches as major obstacle of efficient HHR planning, and find that five dimensions of integration in HHR policy are needed: system, occupational, sector, gender, and socio-cultural integration. Increasing the analytical complexity of HHR planning models does not automatically bring about more reliable and efficient planning, as the added value of these models is highly context-dependent. Yet Europe is highly diverse and we therefore argue the need for a strategic HHR perspective that is capable of bridging many different HHR policies and planning systems, and combining national and European solutions efficiently.

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BackgroundAs 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.CaseThe 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.ConclusionRegional 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.

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