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Record W7161974416 · doi:10.82308/18441

Using a multidisciplinary approach to address the needs of HIV+ refugees in Canada: a qualitative case study

2011· dissertation· en· W7161974416 on OpenAlexaboutno aff
Heather Mah

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsMultidisciplinary approachRefugeeQualitative researchHealth careImmigrationWork (physics)Multidisciplinary teamNeeds assessment

Abstract

fetched live from OpenAlex

The main purpose of this study was to explore how a multidisciplinary team approach is used to address the complex needs of refugees living with HIV/AIDS, what are the principal needs of HIV+ refugee patients, what challenges exist to employing such an approach and the barriers that exist to access and delivery of health care services. Data were acquired using qualitative methods. Individual interviews were conducted with a sample of seven multidisciplinary team members who work directly with HIV+ refugees at an HIV clinic in Canada. The results revealed that a multidisciplinary team approach is an effective way to provide holistic care for HIV+ refugees, barriers to current immigration and health care services and policies both prevent refugees from meeting their own needs and hinder the work of health care providers, and patients require culturally competent services. Implications for policy, practice and research are included.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.708

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0360.011
Scholarly communication0.0050.002
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.139
GPT teacher head0.448
Teacher spread0.309 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2011
Admission routes1
Has abstractyes

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