Implementation and evaluation of the ‘Transgender Education for Affirmative and Competent HIV and Healthcare (TEACHH)’ provider education pilot
Bibliographic record
Abstract
BACKGROUND: Transgender (trans) women face constrained access to gender-affirming HIV prevention and care. This is fueled in part by the convergence of limited trans knowledge and competency with anti-trans and HIV-related stigmas among social and healthcare providers. To advance gender-affirming HIV service delivery we implemented and evaluated 'Transgender Education for Affirmative and Competent HIV and Healthcare (TEACHH)'. This theoretically-informed community-developed intervention aimed to increase providers' gender-affirming HIV prevention and care knowledge and competency and reduce negative attitudes and biases among providers towards trans women living with and/or affected by HIV. METHODS: Healthcare and social service providers and providers in-training (e.g., physicians, nurses, social workers) working with trans women living with and/or affected by HIV (n = 78) participated in a non-randomized multi-site pilot study evaluating TEACHH with a pre-post-test design. Pre- and post-intervention surveys assessed participant characteristics, intervention feasibility (e.g., workshop completion rate) and acceptability (e.g., willingness to attend another training). Paired sample t-tests were conducted to assess pre-post intervention differences in perceived competency, attitudes/biases, and knowledge to provide gender-affirming HIV care to trans women living with HIV and trans persons. RESULTS: The intervention was feasible (100% workshop completion) and acceptable (91.9% indicated interest in future gender-affirming HIV care trainings). Post-intervention scores indicated significant improvement in: 1) knowledge, attitudes/biases and perceived competency in gender-affirming HIV care (score mean difference (MD) 8.49 (95% CI of MD: 6.12-10.86, p < 0.001, possible score range: 16-96), and 2) knowledge, attitudes/biases and perceived competency in gender-affirming healthcare (MD = 3.21; 95% CI of MD: 1.90-4.90, p < 0.001, possible score range: 9-63). Greater change in outcome measures from pre- to post-intervention was experienced by those with fewer trans and transfeminine clients served in the past year, in indirect service roles, and having received less prior training. CONCLUSIONS: This brief healthcare and social service provider intervention showed promise in improving gender-affirming provider knowledge, perceived competency, and attitudes/biases, particularly among those with less trans and HIV experience. Scale-up of TEACHH may increase access to gender-affirming health services and HIV prevention and care, increase healthcare access, and reduce HIV disparities among trans women. TRIAL REGISTRATION: ClinicalTrials.gov ( NCT04096053 ).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".