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Record W4297878712 · doi:10.1371/journal.pgph.0000714

Unmasking legislative constraints: An institutional ethnography of linkage and engagement in HIV healthcare for African, Caribbean, and Black people in Ontario, Canada

2022· article· en· W4297878712 on OpenAlexafffundabout
Apondi J. Odhiambo, Lisa Forman, LaRon E. Nelson, Patricia O’Campo, Daniel Grace

Bibliographic record

VenuePLOS Global Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsSt. Michael's HospitalPublic Health OntarioUniversity of Toronto
FundersCanadian Institutes of Health ResearchOntario HIV Treatment Network
KeywordsHealth careImmigrationLegislaturePolitical sciencePublic healthEconomic growthMedicineNursingLaw

Abstract

fetched live from OpenAlex

The Human Immunodeficiency Virus (HIV) epidemic significantly impacts African, Caribbean, and Black (ACB) immigrants in Canada. Health scholarship has revealed striking injustices within Canada's public healthcare system that restrict access to healthcare and violate the human rights of ACB immigrants living with HIV who are marginalized. We conducted an institutional ethnography to comprehensively understand how HIV healthcare in Ontario is organized and experienced by ACB immigrants, focusing on unjust and discriminatory legislative frameworks and institutional practices regulating access to publicly funded healthcare resources and services. We interviewed 20 ACB immigrants and 15 healthcare workers, including specialists, primary care providers, immigration physicians, and social workers. We found a disjuncture between the organization of HIV healthcare in Ontario and how ACB immigrants experienced access to care. We uncovered how immigration, public health and healthcare laws and related institutional practices intersect to produce structural violence which create barriers and missed opportunities to timely linkage and engagement in HIV healthcare. Black immigrants' accounts revealed that they underwent mandatory HIV under the Immigration Medical Examination policy (IME) without providing informed consent and receiving pre and post-test counselling. Furthermore, Black immigrants did not receive referrals and were not adequately linked to care following HIV diagnosis. Troubling encounters with immigration and public health state agents and healthcare legislative barriers including difficulty finding a physician, the 3-month waiting period under the Ontario Health Insurance Plan (OHIP), long wait times, lack of drug coverage, and stigma, discrimination, and anti-Black racism shaped and affected Black people's linkage and engagement in HIV care. We elucidate how the legislative and structural organization of healthcare regulated and constrained health service access for ACB immigrants living with HIV, including their ability to "achieve" HIV undetectability.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.082
GPT teacher head0.342
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2022
Admission routes3
Has abstractyes

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