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Record W4229332353 · doi:10.1186/s12889-022-13093-0

Community perspectives on addressing and responding to HIV-testing, pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP) among African, Caribbean and Black (ACB) people in Ontario, Canada

2022· article· en· W4229332353 on OpenAlexafffundabout
Josephine Etowa, Wangari Tharao, Lawrence Mbuagbaw, Shamara Baidoobonso, Ilene Hyman, Suzanne Obiorah, Muna Aden, Egbe B. Etowa, Akalewold T. Gebremeskel, Medys Kihembo, LaRon E. Nelson, Winston Husbands

Bibliographic record

VenueBMC Public Health · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsPublic Health OntarioMcMaster UniversityImpactUniversity of TorontoDalhousie UniversityMinistry of Children, Community and Social ServicesWomen's Health In Women's HandsUniversity of Ottawa
FundersNational Institute of Mental HealthPublic Health AgencyPublic Health Agency of Canada
KeywordsFocus groupMedicinePre-exposure prophylaxisPopulationThematic analysisQualitative researchPublic healthBiostatisticsEthnic groupFamily medicineCredibilityMen who have sex with menEnvironmental healthNursingHuman immunodeficiency virus (HIV)SociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The African, Caribbean, and Black (ACB) population of Ontario, Canada is comprised of individuals with diverse ethnic, cultural and linguistic backgrounds and experiences; some of whom have resided in Canada for many generations, and others who have migrated in recent decades. Even though the ACB population represents less than 3.5% of the Canadian population, this group accounts for 21.7% of all new HIV infections. It is well-documented that ACB populations, compared to the general population, experience multi-level barriers to accessing appropriate and responsive HIV services. In this paper, we present qualitative findings on the ACB population's experiences with HIV-testing, pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP) and obtain their perspectives on how to improve access. METHODS: We conducted twelve Focus Group Discussions (FGDs), within a two-day World Café event and used socio-ecological framework and community-based participatory research (CBPR) approaches to guide this work. We meaningfully engaged ACB community members in discussions to identify barriers and facilitators to HIV testing, PEP and PrEP and how these may be addressed. The FGDs were transcribed verbatim and thematic analysis guided data interpretation. Credibility of data was established through data validation strategies such as external audit and peer-debriefing. RESULTS: Our analyses revealed multi-level barriers that explain why ACB community members do not access HIV testing, PEP and PrEP. Fear, health beliefs, stigma and lack of information, were among the most frequently cited individual- and community-level barriers to care. Health system barriers included lack of provider awareness, issues related to cultural sensitivity and confidentiality, cost, and racism in the health care system. Participants identified multi-level strategies to address the HIV needs including community-based educational, health system and innovative inter-sectoral strategies. CONCLUSION: CBPR, co-led by community members, is an important strategy for identifying the multi-level individual, interpersonal, community, institutional and structural factors that increase HIV vulnerability in ACB communities, notably anti-Black systemic racism. Study findings suggest the need for targeted community-based strategies and strategies aimed at reducing health system barriers to testing and care.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
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 head0.046
GPT teacher head0.311
Teacher spread0.265 · 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.

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

Citations43
Published2022
Admission routes3
Has abstractyes

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