Evidence map›Paper›PMID 31565405›Full record

ArticleBMJ global health2019

International migration of health labour: monitoring the two-way flow of physicians in South Africa.

Akhenaten Siankam Tankwanchi, Amy Hagopian, Sten H Vermund

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Akhenaten Siankam TankwanchiDST/NRF SARChI Programme on the Health Workforce for Equity and Quality, University of the Witwatersrand School of Public Health, Johannesburg, South Africa.ORCID 0000-0002-6051-3292
Amy HagopianSchool of Public Health, University of Washington, Seattle, Washington, USA.
Sten H VermundOffice of the Dean, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0001-7289-8698
University of the Witwatersrand · ZAUniversity of Washington · US

Funding

Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI John Edward Pachankis · 2001 to 2026
$48.5M
NIMH NIH HHS P30 MH062294
6 · The paper itself

Abstract

introductionAlthough health labour migration is a global phenomenon, studies have neglected the flow of health workers into low-income and middle-income countries (LMICs). In compliance with the data-monitoring recommendation of the WHO Global Code of Practice on the International Recruitment of Health Personnel (Code), we estimated post-Code physician net migration (NM) in South Africa (SA), and SA's net loss of physicians to Organisation for Economic Co-operation and Development (OECD) countries from 2010 to 2014.

methodsWe sourced data from the National Reporting Instrument reports, the OECD and the General Medical Council. Using the numbers of foreign nationals and international medical graduates (IMGs) registered in SA, and SA medical graduates registered in OECD countries (South African-trained international medical graduates (SA-IMGs)) as respective proxies for immigration and emigration, we estimated 'NM' as the difference between immigrant physicians and emigrant physicians and 'net loss' as the difference between OECD-trained IMGs and OECD-based SA-IMGs.

resultsIn 2010, SA hosted 8443 immigrant physicians, while OECD countries hosted 14 933 SA-IMGs, yielding a NM of -6490 physicians and a NM rate of -18% in SA. By 2014, SA-based immigrant physicians had increased by 4%, while SA-IMGs had decreased by -15%, halving the NM rate to -9%. SA-to-OECD estimated net loss of physicians dropped from -12 739 physicians in 2010 to -10 563 in 2014. IMGs represented 46% of 2010-2014 new registrations in SA, with the UK, Nigeria and the Democratic Republic of the Congo serving as leading sources. Registrants from conflict-scarred Libya increased >100-fold. More than 3400 SA-IMGs exited OECD-based workforces.

conclusionNM is a better measure of the brain drain than simply the emigration fraction. Strengthened health personnel data management and reporting through implementation of the Code-related system of National Health Workforce Accounts will further increase our understanding of health worker mobility in LMICs, with policymakers empowered to make more informed policies to address shortage.

Indexed as

Brain drainglobal healthhealth worker migrationin-migrationinternational medical graduatesmigrant data monitoringnet migrationNRI dataout-migrationSouth AfricaWHO Code of Practice

Identifiers

PMID31565405
PMCPMC6747914
OpenAlexW2972701278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.