Global migration and factors that support acculturation and retention of international nurses: A systematic review
Bibliographic record
Abstract
Background: International nurses (migrant nurses who are recruited to work in different countries) make essential contributions to global health and care workforces that are experiencing domestic nurse shortages. Global recruitment and migration is increasing, and with growing dependency on international nurses, health and care employers must understand their lived experiences if they want to support acculturation and subsequent retention. Aim: This paper reports a systematic review of qualitative literature on the experiences of international nurses working overseas. The aim is to explore the lived experiences of international nurses working and living in different countries globally. We argue their experiences shape socialisation and contribute to longer term retention of this fundamental nursing workforce. Method: A systematic literature search was carried out in Medline, CINAHL, PsychInfo, PubMed and Web of Science for global research publications from 2010 to 2020. Research studies conducted in Australia, Canada, New Zealand, the United Kingdom and the United States were identified, quality appraised and subjected to data extraction/analysis. Findings: The findings of twenty seven papers were synthesised into six themes: (1) individual and organisational preparedness, (2) communication and the art of language, (3) principles and practices of nursing, (4) social and cultural reality, (5) equality, diversity and inclusion, and (6) facilitators of integration and adaptation. Discussion: Whilst experiences are multifaceted and complex, factors shaping acculturation of international nurses were transferable across various countries. Individual motivations for migration should be recognised, and short term, transitional and long term needs must be identified to support development needs and ongoing career progression. Cultural integration and language barriers should be sensitively managed to enable effective acculturation. Culturally sensitive leadership is also key to ensuring zero tolerance of inappropriate racist and discriminatory behaviours. Conclusion: Health and care employers offer tangible benefits for international nurse workforces and in culturally compassionate and professional sociocultural environments, international nurses can thrive. However, to effectively retain this workforce in the longer term, significant improvement is required across a number of areas. Tweetable abstract: This new systematic review paper explores the factors that can support acculturation and retention of internationally-recruited nurses globally.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".