Access to Virtual Mental Healthcare and Support for Refugee and Immigrant Groups: A Scoping Review
Bibliographic record
Abstract
Immigrant and refugee populations face multiple barriers to accessing mental health services. This scoping review applies the (Levesque et al. in Int J Equity Health 12:18, 2013) Patient-Centred Access to Healthcare model in exploring the potential of increased access through virtual mental healthcare services VMHS for these populations by examining the affordability, availability/accommodation, and appropriateness and acceptability of virtual mental health interventions and assessments. A search in CINAHL, MEDLINE, PSYCINFO, EMBASE, SOCINDEX and SCOPUS following (Arksey and O'Malley in Int J Soc Res Methodol 8:19-32, 2005) guidelines found 44 papers and 41 unique interventions/assessment tools. Accessibility depended on individual (e.g., literacy), program (e.g., computer required) and contextual/social factors (e.g., housing characteristics, internet bandwidth). Participation often required financial and technical support, raising important questions about the generalizability and sustainability of VMHS' accessibility for immigrant and refugee populations. Given limitations in current research (i.e., frequent exclusion of patients with severe mental health issues; limited examination of cultural dimensions; de facto exclusion of those without access to technology), further research appears warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".