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Record W4402992559 · doi:10.2196/59927

Barriers and Facilitators of International Health Care Students’ Well-Being in Higher Education: Protocol for a Systematic Integrative Review

2024· article· en· W4402992559 on OpenAlexvenueno aff
Kayode Philip Fadahunsi, Paul Flynn, Simon D. Taylor‐Robinson, J. Gallagher, Walter Cullen, John O’Donoghue

Bibliographic record

VenueJMIR Research Protocols · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
FundersWellcome Trust
KeywordsPreprintProtocol (science)Health careMedical educationPeer reviewPsychologyMedicineAlternative medicineComputer sciencePolitical scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: International health care students encounter unique hurdles as they pursue education in foreign countries. These challenges, stemming from adjustment to new cultural environments and stressful academic programs, significantly impact their well-being. Understanding the barriers and facilitators experienced by international health care students is crucial for ensuring their successful integration into academic and professional spheres. Most existing reviews focus on specific populations or disciplines, thus limiting their generalizability. OBJECTIVE: This systematic integrative review aims to provide a comprehensive understanding of barriers and facilitators of international health care students' well-being in higher education. METHODS: The protocol follows the Joanna Briggs Institute's guidance for a mixed methods systematic review. The main information sources will include PubMed, Scopus, Web of Science, and EBSCOhost, supplemented with manual reference search and citation tracking using Google Scholar. The study selection will be done independently by 2 reviewers based on predetermined eligibility criteria. The study population will consist of international higher education students enrolled in human health-related disciplines including medicine, pharmacy, nursing, and allied health care fields. Qualitative and quantitative data relating to barriers and facilitators of international health care students' well-being will be extracted using a customized data extraction template in Covidence review management software. Quantitative data will be "qualitized" and integrated with qualitative data using a convergent integrated approach, as described in the Joanna Briggs Institute's guidance. The integrated data will then be synthesized using a thematic analysis approach to provide a comprehensive understanding of barriers and facilitators of international health care students' well-being. RESULTS: The initial literature search yielded 2408 papers from the selected databases. The findings of this review will be presented in a narrative format, supported by visualizations such as tables and diagrams. The review is expected to be completed by December 2024. CONCLUSIONS: This systematic integrative review will identify barriers and facilitators of international health care students' well-being in higher education. The findings could inform the development of targeted interventions and support initiatives in higher education institutions globally, with the ultimate goal of enhancing the well-being as well as the academic and professional success of international health care students. TRIAL REGISTRATION: PROSPERO CRD42024372785; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024372785. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/59927.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.107
metaresearch head score (Gemma)0.121
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.107
Threshold uncertainty score0.566

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1070.121
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0150.017
Bibliometrics0.0140.013
Science and technology studies0.0050.005
Scholarly communication0.0080.009
Open science0.0050.006
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0530.009

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 head0.272
GPT teacher head0.692
Teacher spread0.420 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreProtocol

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

Citations1
Published2024
Admission routes1
Has abstractyes

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