Evidence map›Paper›PMID 41923084›Full record

ArticleBMC health services research2026

Healthcare professionals' migration intentions in Türkiye: a qualitative study on implications for community health and health system sustainability.

Selver Bezgin, Özlem Kaçkin, Hatice Akaltun

Abstract read
In one paragraph

Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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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.

Selver BezginDepartment of Mental Health and Diseases Nursing, Faculty of Health Sciences, Van Yüzüncü Yıl University, Van, Türkiye.ORCID http://orcid.org/0000-0003-2828-4271
Özlem KaçkinDepartment of Psychiatric Nursing, Faculty of Health Sciences, Harran University, Şanlıurfa, Türkiye.ORCID http://orcid.org/0000-0003-1720-0343
Hatice AkaltunDepartment of Nursing, Faculty of Health Sciences, Van Yüzüncü Yıl University, Van, Türkiye. haticeakaltun@yyu.edu.tr.ORCID http://orcid.org/0000-0002-4303-963X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain drain has emerged as a major global challenge threatening the sustainability of healthcare systems and has profound implications for workforce stability, professional motivation, and the continuity of healthcare services. In Türkiye, increasing migration intentions among healthcare professionals raise concerns not only at the individual level but also for community health and equitable access to care. This study aimed to explore healthcare professionals’ perspectives on brain drain and their intentions to migrate.

methodsThis qualitative study was conducted with healthcare professionals working in different provinces of Türkiye between January 11 and 26, 2025. An interpretative phenomenological approach was adopted, and data were collected through five online focus group interviews.

resultsData analysis yielded five interrelated themes: Basic dynamics of migration tendency; professional, academic, and psychosocial reflections of migration; factors stopping migration; strategies to prevent migration; and metaphorical reflections of migration. Participants described migration as a multidimensional process shaped by systemic, occupational, and psychosocial factors, as well as by emotional attachments and ethical considerations related to remaining in the country.

conclusionA substantial proportion of physicians, nurses, midwives, and dentists expressed an intention to migrate abroad. Migration intentions were primarily associated with low salaries, economic hardship, injustices within the health system, mobbing, violence in healthcare settings, professional devaluation, psychological exhaustion, concerns about their own and their children’s futures, and diminished quality of life. Although many healthcare professionals identified reasons to remain in Türkiye, migration was perceived to have significant individual, systemic, and community-level consequences, with potential implications for the sustainability and equity of healthcare services.

Indexed as

Attitude of Health PersonnelDelivery of Health CareEmigration and ImmigrationHealth PersonnelIntentionAdultBrain DrainFemaleFocus GroupsHumansMaleQualitative ResearchBrain drainHealthcare professionalsMidwivesMigrationNursesPhysicians

Identifiers

PMID41923084
PMCPMC13169680

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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.