Evidence map›Paper›PMID 40462064›Full record

ArticleBMC nursing2025

Prioritizing drivers of nursing migration: a summative content analysis of influential factors.

Ali Afshari, Seyedeh Zahra Masoumi, Seyed Reza Borzou, Ali Safdari, Afshin Khazaei

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

5 authors.

Ali AfshariChronic Diseases (Home Care) Research Center, Institute of Cancer, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-4579-5869
Seyedeh Zahra MasoumiMother and Child Care Research Center, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-2045-3707
Seyed Reza BorzouChronic Diseases (Home Care) Research Center, Institute of Cancer, Hamadan University of Medical Sciences, Hamadan, Iran.ORCID http://orcid.org/0000-0002-7689-9150
Ali SafdariStudent Research Committee, Semnan University of Medical Sciences, Semnan, Iran.ORCID http://orcid.org/0000-0002-5319-5185
Afshin KhazaeiDepartment of Prehospital Emergency Medicine, Asadabad School of Medical Sciences, Asadabad, Iran. A.khazaei91@gmail.com.ORCID http://orcid.org/0000-0002-8063-3419

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe migration of nurses, nursing students, and graduates has become a global phenomenon shaped by various factors influencing their decision to relocate for education and employment. Understanding these factors is crucial because nurse migration directly impacts workforce availability, retention, and the equity of healthcare services worldwide. This study aimed to rank the factors driving nurse migration from the perspective of nurses in Hamadan Province, western Iran.

methodsThe research team implemented a summative content analysis on Porsline's electronic survey system to collect data. Research participants included nurses serving in government hospitals and nursing students from both government and private institutions in Hamadan Province, located in western Iran. A total of 724 nursing students and nurses participated in the study, which was conducted through convenience sampling. They provided open-ended responses to the inquiry: "Have you ever considered migrating abroad as a nursing student, graduate, or practicing nurse?" What reasons and factors have led you to consider migration?".

resultsData analysis, within the framework of the global chain of care theory, identified five key themes, which were ranked and assessed on the basis of frequency and their perceived impact: (1) economic drivers (666 frequency), including factors such as low salaries, high living costs, and the pursuit of improved living standards; (2) the workplace environment and career development (432 frequency), addressing issues such as poor working conditions, workplace hostility, limited career advancement opportunities, and the allure of better prospects abroad; (3) sociopolitical and systemic challenges (92 frequency), encompassing weaknesses in the healthcare system, political instability, and economic uncertainty; (4) personal and family motivations (47 frequency), which include aspects such as family welfare and sociocultural aspirations; and (5) global demand and recruitment (31 frequency), emphasizing the influence of peers and active international recruitment strategies. The findings of this study led to the creation of a new theme (theme 3) outside the theoretical framework, which includes factors such as political instability, health care system weaknesses, and structural constraints-elements not directly addressed in the global chain of care (GCC) theory.

conclusionThis study revealed that nurse migration in Iran is predominantly influenced by economic and workplace-related challenges, with distinct variations observed among nursing students, graduates, and practicing nurses. The primary factors contributing to this phenomenon include economic issues, such as insufficient salaries and elevated living expenses, as well as unfavorable working conditions and limited opportunities for career advancement. To mitigate these challenges, policymakers are urged to implement strategies focused on increasing salaries, improving workplace conditions, and providing avenues for professional development. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Global chain of careMigrationNursingQualitative studySummative content analysis

Identifiers

PMID40462064
PMCPMC12135396

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.