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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".