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Experience of overseas‐trained health professionals in rural and remote areas of destination countries: A literature review

2012· review· en· W1906309550 on OpenAlexaboutno aff
Sophia Dywili, Ann Bonner, Judith Anderson, Louise O’ Brien

Bibliographic record

VenueAustralian Journal of Rural Health · 2012
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Diversity (politics)Rural areaHealth careWork (physics)NursingQuality (philosophy)Cultural diversityHealth professionalsMedicineMedical educationPublic relationsPsychologyPolitical science

Abstract

fetched live from OpenAlex

This study aimed to review and synthesise existing literature that investigated the experience of overseas-trained health professionals (OTHPs) in rural and remote areas of destination countries. A systematic literature review was conducted using electronic databases and manual search of studies published from January 2004 to February 2011. Data were analysed from the final 17 original report articles that met the inclusion criteria. The reviewed research studies were conducted in Australia, Canada, New Zealand, the UK and the USA. Overseas-trained medical practitioners were the most frequently researched (n = 14); two studies involved nurses and one study included several health professionals. Three main themes emerged from the review and these were: (i) expectations; (ii) cultural diversity; and (iii) orientation and integration to rural and remote health work environment. The OTHPs were expected to possess the appropriate professional and cultural skills while they themselves expected recognition of their previous experiences and adequate organisational orientation and support. A welcoming and accepting community coupled with a relaxed rural lifestyle and the joy of continued patient care resulted in successful integration and contributed to increased staff retention rates. Recognition of expectations and cultural diversity by all parties and comprehensive orientation with sufficient organisational support are important elements in the integration of OTHPs and subsequent delivery of quality health care to people living in rural and remote areas.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.473
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.105
GPT teacher head0.518
Teacher spread0.414 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations26
Published2012
Admission routes1
Has abstractyes

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