HomeInitativesLearning from the International ExperienceMigrants’ decision-process shaping work destination choice in long term care

Migrants’ decision-process shaping work destination choice in long term care

Escalating demands for formal long-term care (LTC) result in the reliance on migrant workers in many developed countries. Within Europe, this is currently framed by progressive European immigration policies favouring inter-European mobility. Using the UK and Norway as case studies, this article has two main aims: (1) to document changes in the contribution of European Union (EU) migrants to the LTC sectors in Western Europe, and (2) to gain further understanding of migrants’ decision-processes relating to destination and work choices. The UK and Norway provide examples of two European countries with different immigration histories, welfare regimes, labour market characteristics and cultural values, offering a rich comparison platform. The analysis utilizes national workforce datasets and data obtained from migrants working in the LTC sector in the UK and Norway (n = 248) and other stakeholders (n = 136). The analysis establishes a significant increase in the contribution of EU migrants (particularly from Eastern Europe) to the LTC sector in both the UK and Norway despite their different welfare regimes. The findings also highlight how migrant care workers develop rational decision-processes influenced by subjective perspectives of investments and returns within a context of wider structural migration barriers. The latter includes welfare and social care policies framing the conditions for migrants’ individual actions.

Christensen, K., Hussein, S. and Ismail, M. (2017) Migrant intelligence shaping work destination choice:  the case of long-term care work in the United Kingdom and Norway. European Journal of Aging. 14(3): 219-232.

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Founder and Director
Shereen Hussein is a Health and Social Care Policy professor at the London School of Hygiene and Tropical Medicine (LSHTM), United Kingdom.
Shereen Founded the MENARAH Network in 2019, through an initial grant from the Global Challenge Research Fund, UKRI. She is a medical demographer with expertise in ageing, family dynamics, migration and long-term care systems. Shereen regularly collaborates with the United Nations, the World Health Organisation and the World Bank in policy and research focused on ageing in the Middle East and North Africa Region.
Shereen received her undergraduate degree in statistics and a postgraduate degree in computer science at Cairo University. She completed an MSc in medical demography at the London School of Hygiene and a PhD in quantitative demography and population studies at the London School of Economics and Political Science, United Kingdom.

Director of Analytical Research Ltd, and Affiliate Research Fellow, Oxford Institute of Population Ageing, University of Oxford, United Kingdom

Mohamed is trained in engineering (MEng – Cairo University), computer science (MSc – Cairo University) and mathematical finance (MSc – CASS Business School, University of London). Mohamed started his career in in the City of London in 1990s, working as a quantitative analyst for leading global financial organisations, such as Merrill Lynch, HSBC, Mizuho and Credit Suisse, before he began to shift his focus onto quantitative social research. Since 2009, he has worked as an independent researcher in the field of social sciences with a particular drive to make use of different statistical and mathematical modelling techniques for the analysis of large and multi-dispersed data sets.

He has worked with universities in the UK, Europe, Australia and the Middle East; publishing a number of peer-reviewed articles. He has also been invited to give talks and presentations at several leading universities and organisations. His current research interests focus on exploring the potential role of mathematical dynamical systems in the field of population ageing across health and social care. Mohamed is the Director of Analytical Research ltd and an affiliate at the Oxford Institute of Population Ageing, University of Oxford.