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Record W2790866140 · doi:10.14745/ccdr.v44i02a05

Resources to address stigma related to sexuality, substance use and sexually transmitted and blood-borne infections

2018· article· en· W2790866140 on OpenAlexaffvenueabout
R MacLean

Bibliographic record

VenueCanada Communicable Disease Report · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsCanadian Public Health Association
Fundersnot available
KeywordsStigma (botany)ConfidentialityReproductive healthGeneral partnershipHuman sexualityService providerSocial workMedicineHarm reductionPsychologyMedical educationPublic healthPublic relationsNursingService (business)PopulationPolitical sciencePsychiatryEnvironmental healthBusiness

Abstract

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BACKGROUND: Stigma is widely recognized as a significant barrier to the prevention, management and treatment of sexually transmitted and blood-borne infections (STBBIs) in Canada. Despite major advances in STBBI prevention and treatment, and global efforts to reduce stigma, people living with or affected by STBBIs continue to experience stigma within health and social service settings in Canada. OBJECTIVE: To describe the development, content and evaluation of knowledge translation resources and training workshops designed to equip health and social service professionals with the knowledge and skills needed to provide more respectful and inclusive sexual health, harm reduction and STBBI services. METHODS: After conducting a literature review, environmental scan and key informant interviews, and developing a conceptual framework, the Canadian Public Health Association (CPHA) developed four knowledge translation resources and three training workshops in partnership with a number of community-based organizations and experts. The resources were drafted and reviewed by both service providers and individuals affected by STBBIs. The workshops were developed, piloted and then evaluated using post-workshop questionnaires. RESULTS: The four resources developed were a self-assessment tool related to STBBIs and stigma; a service provider discussion guide to facilitate respectful and inclusive discussions on issues related to sexuality, substance use and STBBIs; a toolkit focused on stigma reduction, privacy, confidentiality and the criminalization of HIV non-disclosure; and an organizational assessment tool related to STBBIs and stigma for health and social service settings. These knowledge translation resources were subsequently integrated into the content of three face-to-face trainings that were piloted and evaluated across the country. Post-workshop evaluation had an overall 85% response rate; 88% of participants noted increased awareness of various forms of stigma, 87% noted increased comfort discussing sexuality, substance use and harm reduction with their clients/patients, 90% reported increased awareness of organizational strategies to reduce stigma, and 93% reported being able to integrate workshop learnings into practice. In addition, there was strong support for professional development on issues related to STBBI stigma reduction. CONCLUSION: These knowledge translation resources and training workshops represent a comprehensive set of tools developed in Canada that service providers can use to help reduce stigma when caring for clients/patients with STBBIs and related conditions. Evaluation indicates there is a strong willingness among health and social service providers to engage in educational opportunities in this area and that participation in the training workshops led to increased awareness and a willingness to adopt best practices.

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)0.013
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.773
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0070.004
Scholarly communication0.0040.002
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.030
GPT teacher head0.320
Teacher spread0.290 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations16
Published2018
Admission routes3
Has abstractyes

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