Implementation of Evidence-Informed Behavioral Health Models to Improve HIV Health Outcomes for Black Men Who Have Sex With Men (Black MSM Initiative): Protocol for Program Evaluation
Bibliographic record
Abstract
BACKGROUND: The HIV epidemic in the United States disproportionately affects Black communities. Nearly half of Black men who have sex with men (MSM) will be diagnosed with HIV in their lifetime. There is a significant unmet need for behavioral health care services among Black MSM, and untreated behavioral health needs make it less likely the person is retained in HIV care. OBJECTIVE: This paper offers a description of the Implementation of Evidence-Informed Behavioral Health Models to Improve HIV Health Outcomes for Black Men who have Sex with Men (Black MSM) Initiative, a program to integrate clinical care and behavioral health/supportive services for Black MSM with HIV. The Black MSM Initiative is funded through the Health Resources & Services Administration HIV/AIDS Bureau Ryan White HIV/AIDS Program (RWHAP) Part F Special Projects of National Significance. METHODS: The components of the Black MSM Initiative include providing technical assistance to 8 Initiative demonstration sites; conducting a comprehensive and culturally responsive, mixed method, multisite evaluation; and disseminating evaluation findings and lessons learned to the RWHAP community. RESULTS: As of December 31, 2020, demonstration sites enrolled 809 clients in the multisite evaluation. The research team will continue evaluation data collection through December 2021 for analysis and dissemination starting in 2022. The Black MSM Initiative fully supports the US Department of Health and Human Services' Ending the HIV Epidemic in the United States Initiative. CONCLUSIONS: In order to succeed, providers and programs will need to engage populations traditionally considered "hard to reach," like many people receiving RWHAP services. Findings and lessons learned from the Black MSM Initiative will expand the tool kit of solutions to support and retain Black MSM in HIV care, furthering the goals of the Ending the HIV Epidemic Initiative and the RWHAP. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36025.
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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 | 0.086 | 0.069 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.008 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.069 | 0.011 |
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".