posted on 2019-04-23, 11:55authored byNazmy Villarroel, Ailish HanniganAilish Hannigan, Santino Severoni, Soorej Jose Puthoopparambil, Anne E. MacFarlane
.Background: Migration to European countries has increased in number and diversity in recent years. Factors such
as access to healthcare, language barriers and legal status can impact the health outcomes of migrant groups.
However, little is known about the evidence base on the health status of migrants in the Republic of Ireland. Our
aim was to scope existing peer-reviewed research on the health of migrants in Ireland and identify any gaps in the
evidence.
Methods: We conducted a scoping review of peer-reviewed research on the health of migrants in the Republic of
Ireland. Eleven electronic databases were searched for peer-reviewed, empirical articles published between 2001
and 2017. Search terms were adapted from a World Health Organisation review. Findings were analysed using the
2016 World Health Organisation Strategy and Action Plan for Refugee and Migrant Health in the World Health
Organisation European region, which outlines nine strategic areas that require collaborative action.
Results: Of 9396 articles retrieved, 80 met inclusion criteria, with the majority (81%) published since 2009. More than
half of the studies had a quantitative design (65%). Migrants studied came from Eastern Europe, Asia and Africa and
included labour migrants, refugees and asylum seekers. Most studies related to two World Health Organisation
strategic areas; 4: “achieving public health preparedness and ensuring an effective response”, and 5: “strengthening
health systems and their resilience”.
Conclusion: There is growing attention to migrant health in Ireland with a balance of qualitative and quantitative
research. While much of the identified research is relevant to three of the World Health Organisation strategic
areas, there are significant gaps in the other six areas. The study design could be replicated in other countries to
examine and inform migrant health research.
Funding
Development of a structure identification methodology for nonlinear dynamic systems