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Record W7065202398

Critical analysis of peer engagement in HIV testing and prevention within Black, African, and Caribbean communities in Manitoba, Canada

2024· dissertation· en· W7065202398 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsThematic analysisContext (archaeology)Community engagementParticipatory action researchQualitative researchCommunity-based participatory researchHuman immunodeficiency virus (HIV)Citizen journalismPeer group
DOInot available

Abstract

fetched live from OpenAlex

African, Caribbean, and Black (ACB) populations are overrepresented among new Human Immunodeficiency Virus (HIV) and Sexually Transmitted and Blood-Borne Infection (STBBI) cases in Canada. Manitoba has the second-highest rate of new HIV diagnoses in Canada. Peers have become increasingly important in the context of the HIV care cascade, serving to connect individuals and communities to HIV prevention, treatment, and related services. They play a crucial role in addressing disparities in HIV testing, prevention, and treatment access for communities by supporting individuals in navigating the healthcare system and overcoming bureaucratic obstacles and access barriers. Many studies have explored the impact of peer navigation in engaging communities in HIV prevention and treatment. However, no research has examined the acceptability of peer navigation among ACB communities in Canada and the power dynamics in the relationship between peer navigators and community members seeking HIV services. This Master of Social Work thesis focuses on peer navigation within the context of HIV among ACB communities in Manitoba. The study explored the discourses surrounding peer navigation and the power dynamics between peer navigators and ACB community members in Manitoba. The study utilized a qualitative community-based participatory research approach and harnessed the insights of ACB community members through the Community Guiding Circle (CGC), consisting of ten ACB community members. The research included a secondary analysis of data from the Ubuntu-Pamoja study, with participants recruited through agencies serving ACB communities, social media, and word-of-mouth. Thirty-three interviews were analyzed to identify key themes and fulfill the established research objectives. Data analysis employed thematic analysis using critical, intersectional-feminist, and Afrocentric theories. The methodology included two member checks to ensure the research process remained relevant to the needs of ACB communities in Manitoba. The ACB community's perspectives on peer support in HIV services uncovered a complex interplay of trust, knowledge, professionalism, culture, lived experiences, and gender dynamics. These elements influence the community's preferences for peer navigators in HIV-related services. The findings underscored the importance of integrating well-trained, culturally aligned peer navigators within the community. The study also revealed that power dynamics between peer navigators and community members seeking HIV services are nuanced and complex, involving trust, expertise, shared identity, and lived experiences. Attention must be given to the perspectives and experiences of ACB community members concerning peer navigation and the power dynamics between peer navigators and those seeking HIV services. This consideration is crucial for policy reforms and future research within Black communities in Manitoba. This study enhances our understanding of sexual health service delivery for Manitoba's ACB communities. It supports developing a more inclusive HIV response plan/policy and health promotion efforts. Additionally, it establishes a solid platform for health agencies to promote and enhance strategies for HIV prevention and testing within ACB communities.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.252
Teacher spread0.229 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

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