Evidence map›Paper›PMID 42010564›Full record

ArticleBMC health services research2026

Predictors of migration intentions among Turkish physicians: a lasso logistic regression approach.

Ayşe Şule Akan, Onur Camli, Necmi Baykan, Ensar Balkaya, Harun Sıçrar

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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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ayşe Şule AkanEmergency Department, Erzurum City Hospital, Erzurum, Turkey.
Onur CamliDepartment of Mathematics, Faculty of Natural Sciences, Erzurum Technical University, Erzurum, Turkey.
Necmi BaykanEmergency Department, Kayseri City Hospital, Kayseri, Turkey.
Ensar BalkayaFaculty of Economics and Administrative Sciences, Department of Labor Economics and Industrial Relations, Atatürk University, Erzurum, Turkey.
Harun SıçrarDepartment of Accounting and Tax Applications, Horasan Vocational School, Atatürk University, Erzurum, Turkey. harun.sicrar@atauni.edu.tr.ORCID http://orcid.org/0000-0002-9956-1662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician migration, as a salient dimension of brain drain, undermines service delivery capacity in source countries and threatens the sustainability of healthcare systems. Although Turkey has witnessed a marked increase in physician emigration in recent years, empirical research specifically examining physicians’ international migration remains limited. Addressing this gap, the present study integrates demographic characteristics and work-related conditions to provide a parsimonious account of physicians’ migration intentions in Turkey and to identify the predictors that most clearly distinguish physicians who intend to migrate from those who do not.

methodsData were collected from 428 physicians working across different regions of Turkey (06–08/2025) via a nationwide online survey implemented using convenience and snowball sampling methods. Migration intention was defined as a binary outcome, and a Lasso logistic regression model was estimated using a broad set of demographic and occupational/work-life predictors.

resultsMore than half of the respondents reported an intention to migrate abroad. Male gender, foreign language proficiency, region of residence, and professional title were retained by the penalized model as informative predictors associated with migration intention. Among the work-related variables, perceived patient load, long working hours, workplace violence, concerns about the future of the profession, and dissatisfaction with the legal/regulatory framework were also retained and showed positive associations with migration intention.

conclusionsBy jointly modeling demographic attributes and work-life problems within a unified analytical framework and applying a variable-selection approach, this study highlights the most informative predictors associated with migration intention among multiple correlated variables and contributes to the empirical literature on physician migration in Turkey. The findings should be interpreted as indicative patterns within the surveyed sample rather than nationally representative estimates.

Indexed as

Emigration and ImmigrationIntentionPhysiciansAdultBrain DrainFemaleHumansLogistic ModelsMaleMiddle AgedSurveys and QuestionnairesTurkeyDemographic factorsLasso logistic regressionPhysician migrationVariable selectionWork-life problems

Identifiers

PMID42010564
PMCPMC13224432

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LicenceCC BY-NC-ND
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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.