Global Public Health
Volume 6, Issue 7, 2011, Pages 732-745
Estimating nurse migration from the Bahamas between 1994 and 2005: An exploratory descriptive study using a social network identification methodology (Review)
Adelberger A.* ,
Neely-Smith S. ,
Hagopian A.
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a
Department of Global Health, Bill and Melinda Gates Foundation, PO Box 23350, Seattle, WA 98102, United States
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b
Department of Undergraduate Nursing Education, Barry University, Miami Shores, FL, United States
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c
Health Alliance International, Department of Global Health, School of Public Health, University of Washington, 4534 11th Ave NE, Seattle, WA 98195, United States
Abstract
The purpose of this study was to collect primary data on the migration patterns of Bahamian nurses who had registered as nurses during the period 1994-2005. We used an established social network identification method developed by Delanyo Dovlo to determine whether (and to where) Bahamian nurses had migrated. We reviewed nursing registrants' records from the Nursing Council of the Commonwealth of the Bahamas. We telephoned two nurses per cohort of registration and graduation year, asking the interviewee to identify the current location of colleagues registered in their same cohort. Between 1994 and 2005, a total of 18 out of 282 nurses were either confirmed or probably migrated (6%). Ninety-six per cent of those nurses registered during the study time frame were located during the exercise, partially because of an improvement on the Dovlo method-calling a nurse leader who could locate nursing classmates and colleagues beyond his or her own year of graduation. Nurse migration in the Bahamas appears lower than in surrounding countries, posing a research opportunity to investigate the causes for this positive deviation. Future studies employing this method should include interviews of nurse leaders who can confirm the location of a much wider range of people than can the average participant. © 2011 Taylor & Francis.
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052495181&doi=10.1080%2f17441692.2010.550588&partnerID=40&md5=16ee69b17388907a747937fc76c9b726
DOI: 10.1080/17441692.2010.550588
ISSN: 17441692
Cited by: 1
Original Language: English