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Record W2288755665 · doi:10.3138/cjhs.251-a6

A focus group qualitative study of HIV stigma in the Canadian healthcare system

2016· article· en· W2288755665 on OpenAlexaffvenueabout
Anne Catherine Wagner, Kelly McShane, Trevor Hart, Shari Margolese

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2016
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsFocus groupQualitative researchStigma (botany)Health careCovertPrejudice (legal term)PsychologyMedicineNursingPsychiatrySocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Stigma related to HIV in the healthcare system has a pervasive, negative impact on the mental, physical and sexual health of people living with HIV. While well-documented before the advent of antiretroviral treatment, this stigma in Canada has not been as thoroughly examined from a critical perspective since HIV's evolution from an acute to a chronic illness. The current study examines attitudes and beliefs of healthcare providers toward people living with HIV through the use of focus groups. Focus group participants were women living with HIV, men living with HIV, medical and nursing students, and health care providers working with people living with HIV. Data analysis was conducted with a critical lens using an immersion/crystallization approach. Two broad themes emerged from the data: HIV-specific experiences, and components of stigma. Both negative and positive experiences were described. Discrimination, as a behavioural act, was deemed to be the less prevalent and often more covert expression of stigmatization. Stereotyping, including with regard to perceived sexuality, and prejudice were seen as more insidious and perpetuated by both the medical and educational establishments. These findings clearly demonstrate the need for change in terms of reducing the amount of stigma present in these complex, nuanced, and enduring relationships between people living with HIV and the health care system.

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)0.006
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.105
GPT teacher head0.421
Teacher spread0.316 · 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 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

Citations26
Published2016
Admission routes3
Has abstractyes

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