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Introduction to health professional mobility in a changing Europe 11<br />

volume is to contribute to a better understanding of current policy practice and<br />

priorities.<br />

1.5 Methodology<br />

This volume takes a more in-depth look at current health workforce data<br />

and its utility for assessing health professional mobility, the experiences of<br />

mobile health professionals, management responses to health worker retention<br />

and current experience with policy instruments to track and manage health<br />

professional mobility. A range of methodologies are employed in the volume:<br />

• the scoping review on the conceptual underpinnings of health professional<br />

mobility;<br />

• a critical analysis of health workforce data, indicators and register<br />

methodologies;<br />

• a literature review of the impact of the global financial crisis on health<br />

professional mobility;<br />

• quantitative and qualitative methodologies on the experiences and<br />

motivations of the mobile health professional;<br />

• expert interviews to capture the perspective of health care managers; and<br />

• literature analysis and expert interviews on the impact of policy instruments.<br />

These methodologies are explained in more detail in the individual chapters.<br />

1.6 Limitations<br />

The limitations of available data on health professional mobility constitute a<br />

constraint for effective policy and planning (Wismar et al., 2011). Data sets in<br />

different countries are often incomplete or out of date, and the data sets are not<br />

always compatible across national boundaries. This continues to be a limiting<br />

factor, despite recent and ongoing efforts by WHO, OECD, International<br />

Labour Organization and Eurostat at harmonizing data collection and analysis.<br />

In particular, it can be difficult to develop an up-to-the-minute assessment of the<br />

dynamics of changing patterns of mobility when data aggregation, verification<br />

and publication are often significantly “behind the curve” of change (Buchan,<br />

O’May & Dussault, 2013). This places some limitations on detailed analysis<br />

and interpretation, which are compounded by the additional time required to<br />

edit, quality assure and publish conclusions in a volume. Nevertheless, there<br />

remains an opportunity to make more effective use of the data sets that do exist<br />

and to harness them more effectively to support policy-making.

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