| Title |
Applying a typology of health worker migration to non-EU migrant doctors in Ireland
|
|---|---|
| Published in |
Human Resources for Health, June 2015
|
| DOI | 10.1186/s12960-015-0042-2 |
| Pubmed ID | |
| Authors |
Niamh Humphries, Sara McAleese, Ella Tyrrell, Steve Thomas, Charles Normand, Ruairí Brugha |
| Abstract |
Research on health worker migration in the Irish context has categorized migrant health workers by country or region of training (for example, non-EU nurses or doctors) or recruitment mechanism (for example, actively recruited nurses). This paper applies a new typology of health worker migrants - livelihood, career-oriented, backpacker, commuter, undocumented and returner migrants (European Observatory on Health Systems and Policies and WHO, vol. 2:129-152, 2014) - to the experiences of non-EU migrant doctors in Ireland and tests its utility for understanding health worker migration internationally. The paper draws on quantitative survey (N = 366) and qualitative interview (N = 37) data collected from non-EU migrant doctors in Ireland between 2011 and 2013. Categorizing non-EU migrant doctors in Ireland according to the typology (European Observatory on Health Systems and Policies and WHO, vol. 2:129-152, 2014) offers insight into their differing motivations, particularly on arrival. Findings suggest that the career-oriented migrant is the most common type of doctor among non-EU migrant doctor respondents, accounting for 60% (N = 220) of quantitative and 54% (N = 20) of qualitative respondents. The authors propose a modification to the typology via the addition of two additional categories - the family migrant and the safety and security migrant. Employing a typology of health worker migration can facilitate a more comprehensive understanding of the migrant medical workforce, a necessary prerequisite for the development of useful policy tools (European Observatory on Health Systems and Policies and WHO, vol. 2:129-152, 2014). The findings indicate that there is some fluidity between categories, as health worker motivations change over time. This indicates the potential for policy levers to influence migrant health worker decision-making, if they are sufficiently "tuned in" to migrant health worker motivation. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| Ireland | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 24 | 25% |
| Student > Master | 12 | 13% |
| Researcher | 9 | 9% |
| Student > Ph. D. Student | 5 | 5% |
| Student > Bachelor | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 26 | 27% |
| Medicine and Dentistry | 16 | 17% |
| Social Sciences | 10 | 10% |
| Business, Management and Accounting | 3 | 3% |
| Arts and Humanities | 2 | 2% |
| Other | 8 | 8% |
| Unknown | 31 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2015.
All research outputs
#6,929,013
of 25,371,288 outputs
Outputs from Human Resources for Health
#707
of 1,261 outputs
Outputs of similar age
#74,225
of 278,166 outputs
Outputs of similar age from Human Resources for Health
#15
of 29 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.