Cited by 167Global Health Workforce IssuesGlobal Health and SurgeryMigration and Labor Dynamics

The DOI matches its Crossref record; 125 of the 130 references it cites were found in a registry or an index; 4 of the 14 sources its claims cite were checked for support.

Drivers of health workers’ migration, intention to migrate and non-migration from low/middle-income countries, 1970–2022: a systematic review

Open access

Abstract

Background: The migration of healthcare workers (HWs) from low/middle-income countries (LMICs) is a pressing global health issue with implications for population-level health outcomes. We aimed to synthesise the drivers of HWs’ out-migration, intention to migrate and non-migration from LMICs. Methods: We searched Ovid MEDLINE, EMBASE, CINAHL, Global Health and Web of Science, as well as the reference lists of retrieved articles. We included studies (quantitative, qualitative or mixed-methods) on HWs’ migration or intention to migrate, published in either English or French between 1 January 1970 and 31 August 2022. The retrieved titles were deduplicated in EndNote before being exported to Rayyan for independent screening by three reviewers. Results: We screened 21 593 unique records and included 107 studies. Of the included studies, 82 were single-country studies focusing on 26 countries, while the remaining 25 included data from multiple LMICs. Most of the articles focused on either doctors 64.5% (69 of 107) and/or nurses 54.2% (58 of 107). The UK (44.9% (48 of 107)) and the USA (42% (45 of 107)) were the top destination countries. The LMICs with the highest number of studies were South Africa (15.9% (17 of 107)), India (12.1% (13 of 107)) and the Philippines (6.5% (7 of 107)). The major drivers of migration were macro-level and meso-level factors. Remuneration (83.2%) and security problems (58.9%) were the key macro-level factors driving HWs’ migration/intention to migrate. In comparison, career prospects (81.3%), good working environment (63.6%) and job satisfaction (57.9%) were the major meso-level drivers. These key drivers have remained relatively constant over the last five decades and did not differ among HWs who have migrated and those with intention to migrate or across geographical regions. Conclusion: Growing evidence suggests that the key drivers of HWs’ migration or intention to migrate are similar across geographical regions in LMICs. Opportunities exist to build collaborations to develop and implement strategies to halt this pressing global health problem.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This systematic review of 107 studies found that health workers’ migration or intention to migrate from low/middle-income countries is driven mainly by macro-level remuneration and security problems and meso-level career prospects, working environment and job satisfaction. These drivers were similar across migration status and geographical regions and remained relatively constant from 1970 to 2022.

Key findings

  • The review included 107 studies: 82 single-country studies covering 26 countries and 25 multi-LMIC studies. Most focused on doctors (64.5%, 69/107) and/or nurses (54.2%, 58/107). Top destination countries were the UK (44.9%, 48/107) and USA (42%, 45/107); top source countries were South Africa (15.9%, 17/107), India (12.1%, 13/107) and the Philippines (6.5%, 7/107).
  • Major macro-level drivers were remuneration (83.2%) and security problems (58.9%). Major meso-level drivers were career prospects (81.3%), good working environment (63.6%) and job satisfaction (57.9%). Micro-level drivers included improved quality of life (69.7%) and family ties (61.6%).
  • Local push factors mirrored foreign pull factors: poor pay, work environment, career development, infrastructure and job satisfaction were common local push factors, while financial incentives, good work environment and career development were top foreign pull factors. Local pull factors for non-migration were family ties, job satisfaction and advancing age; foreign push factors were sociocultural barriers and cost of migration.
  • Key drivers were similar for health workers who had migrated and those intending to migrate, and across regions. Financial incentives and career advancement were consistently reported from 1970–2022, with quality of life, working conditions, insecurity/security and unfavourable sociopolitical situations cited more frequently from the early 2000s onward.

Methods

  • PRISMA systematic review searching Ovid MEDLINE, EMBASE, CINAHL, Global Health and Web of Science, plus reference lists; included quantitative, qualitative or mixed-methods studies on health workers’ migration or intention to migrate from LMICs, published in English or French, with databases searched in August 2022.
  • Screening yielded 21,593 unique records and 107 included studies; three independent reviewers screened titles/abstracts in Rayyan, with consensus or a fourth arbiter resolving disagreements. Methodological quality was assessed with the Mixed Methods Appraisal Tool, and no studies were excluded based on quality.
  • Because of heterogeneity in study design, population and outcome, no meta-analysis was conducted; findings were narratively synthesised using push-pull migration theory and Young’s macro-level, meso-level and micro-level framework.

Limitations

  • The paper states that some source countries were disproportionately represented—South Africa, India and the Philippines accounted for over one-third (34.5%) of included studies—which may have skewed findings.
  • The paper states that most included studies focused only on doctors (64.5%) and nurses (54.2%), with limited focus on other essential cadres, and many did not differentiate drivers by cadre, so the review could not examine whether drivers differed across cadres as originally proposed.
  • The paper states that included studies were mainly cross-sectional, so they did not examine changing trends within a particular cohort over time; evident from the text, the review also relied on narrative synthesis rather than meta-analysis because of heterogeneity, and 12 full texts were inaccessible.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1136/bmjgh-2023-012338

Cites

125 of 125 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Flow chart showing identification, screening and selection process of included studies. HIC, high-income country; LMIC, low/middle-income country.
Figure 1 Flow chart showing identification, screening and selection process of included studies. HIC, high-income country; LMIC, low/middle-income country.CC BY-NC · PubMed Central
Figure 2 (A) Publication trends on HRH migration; (B) the cadre of the health workforce studies; (C) the source country and (D) destination countries HRH emigrated to or intend to migrate to, 1970–2022. Non-categorised represents studies where the cadre of HRH was not explicitly stated. Source countries shown on the map are from studies focusing on a single country rather than multiple LMICs. HRH, human resources for health; LMICs, low/middle-income countries.
Figure 2 (A) Publication trends on HRH migration; (B) the cadre of the health workforce studies; (C) the source country and (D) destination countries HRH emigrated to or intend to migrate to, 1970–2022. Non-categorised represents studies where the cadre of HRH was not explicitly stated. Source countries shown on the map are from studies focusing on a single country rather than multiple LMICs. HRH, human resources for health; LMICs, low/middle-income countries.CC BY-NC · PubMed Central
Figure 3 Drivers of health workforce migration from low/middle-income countries (1970–2022) summarised using two conceptual frameworks (A) macro-level, meso-level and micro-level factors28; and (B) push and pull factors.27
Figure 3 Drivers of health workforce migration from low/middle-income countries (1970–2022) summarised using two conceptual frameworks (A) macro-level, meso-level and micro-level factors28; and (B) push and pull factors.27CC BY-NC · PubMed Central
Figure 4 Trends in the drivers of health workforce migration in low/middle-income countries, 1970–2022. Per cent (%) of articles represents the proportion of articles each year that reported a particular driver.
Figure 4 Trends in the drivers of health workforce migration in low/middle-income countries, 1970–2022. Per cent (%) of articles represents the proportion of articles each year that reported a particular driver.CC BY-NC · PubMed Central
Figure 5 Comparison of drivers of migration by (A) migration status and (B) geographical regions across low/middle-income countries, 1970–2022. Geographical regions are based on the WHO geographical regions. AFRO, African Region; AMRO, Region of the Americas; EMRO, Eastern Mediterranean Region; EURO, European Region; SEAR, South East Asian Region; WPR, Western Pacific Region.
Figure 5 Comparison of drivers of migration by (A) migration status and (B) geographical regions across low/middle-income countries, 1970–2022. Geographical regions are based on the WHO geographical regions. AFRO, African Region; AMRO, Region of the Americas; EMRO, Eastern Mediterranean Region; EURO, European Region; SEAR, South East Asian Region; WPR, Western Pacific Region.CC BY-NC · PubMed Central

Verification

Claims the paper makes

29 Own result · 14 Own interpretation · 6 Not checked yet · 4 No basis given · 2 Partly supported · 1 Own method · accuracy not yet measured

Verify all 10 references — free account

Show all 27 claims

  • It may state two separate claims as one. 23
  • Probably not a substantial claim. 9
29 of 29
  • The paper relies on this without support.

    The 107 included studies are representative of health workers in LMICs.

    “In the end, 107 articles11 29–134 were eligible for the final analysis”
  • The paper relies on this without support.

    The drivers reported in the included studies accurately reflect the actual drivers of health worker migration.

    “Overall, the most common drivers were the macro-level (global and national) and meso-level (professional) factors.”
  • The paper relies on this without support.

    The search strategy and databases captured all relevant studies on HRH migration from LMICs.

    “We systematically searched five electronic databases: Ovid MEDLINE, EMBASE, CINAHL, Global Health and Web of Science.”
  • The paper relies on this without support.

    The English/French language restriction did not bias the findings.

    “published in either English or French between 1 January 1970 and 31 August 2022”
  • The paper relies on this without support.

    The 2020 World Bank classification of LMICs is appropriate for studies spanning 1970–2022.

    “based on the 2020 World Bank classification24”
  • The paper relies on this without support.

    Migration intention is a valid proxy for actual migration when comparing drivers.

    “Overall, the key factors driving migration were similar for HRH who have already migrated and those who plan to migrate”
6 of 6

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

3 of 3

Citations

Cites

Research works printed but not linked: 6

  1. Dovlo D . The brain drain and retention of health professionals in Africa; a case study prepared for a regional training conference on improving tertiary education in sub-Saharan Africa: things that work. Accra 2003.
  2. Imran, 2012, Original article brain drain: a harsh reality. International migration of Pakistani medical graduates, J Postgraduate Med Institute, 26, 67
  3. Bidwell, 2014, Security and skills: the two key issues in health worker migration, Glob Health Action, 7, 10.3402/gha.v7.24194 · DOI
  4. 10.1176/appi.ajp.126.9.1318 · DOI
  5. 10.1186/s12960-015-0093-4 · DOI · Paper page
  6. Aggarwal, 2014, Migratory trends of medical graduates in India, J Pioneering Med Sci, 4, 155

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Metadata

Authors
Toyin-Thomas, P., Ikhurionan, P., Omoyibo, E. E., Iwegim, C., Ukueku, A. O., Okpere, J., Nnawuihe, U. C., Atat, J., Otakhoigbogie, U., Orikpete, E. V., Erhiawarie, F., Gbejewoh, E. O., Odogu, U., Akhirevbulu, I. C. G., Kwarshak, Y. K., & Wariri, O.
Affiliations
  • Dartmouth College (US)
  • University of Benin Teaching Hospital (NG)
  • Department of Paediatrics, Federal Medical Centre, Asaba, Nigeria
  • Fraser Health (CA)
  • University of Port Harcourt Teaching Hospital (NG)
  • Department of Clinical Research, Alpha Research Clinic, Edmonton, Alberta, Canada
  • Department of Clinical Services, Intercountry Centre for Oral Health for Africa, Jos, Nigeria
  • University of Nigeria (NG)
  • University of Port Harcourt (NG)
  • Baylor College of Medicine (US)
  • International Organization for Migration (CH)
  • Lagos University Teaching Hospital (NG)
  • Department of Surgery, Edo Specialist Hospital, Benin City, Nigeria
  • Jos University Teaching Hospital (NG)
  • London School of Hygiene & Tropical Medicine (GB)
Corresponding author
Wariri, Oghenebrume
Venue
BMJ Global Health
Publisher
BMJ
Published
2023-05
Volume
8
Issue
5
Pages
e012338
ISSN
2059-7908 (ISSN-L)
OpenAlex
W4375955799
Cited by
160
References
130
Citations by year
2026: 54 · 2025: 56 · 2024: 40 · 2023: 10
FWCI
10.18
Type
journal article
Language
en
Open access
Locations
  • BMJ Global Health (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion, cc-by-nc)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health Workforce Issues
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Surgery
  • Social Sciences › Sociology and Political Science › Migration and Labor Dynamics
Keywords
non-migration, low-middle income countries, physicians, nurses, remuneration, career prospects, work environment, job satisfaction, security, migration determinants, healthcare workers
MeSH terms
Developing Countries, Emigration and Immigration, Health Personnel, Humans, Physicians, Intention

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