Treatment Disparities among African American Men with Depression: Implications for Clinical Practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A decade has passed since the National Institute of Mental Health initiated its landmark Real Men Real Depression public education campaign. Despite increased awareness, depressed African American men continue to underutilize mental health treatment and have the highest all-cause mortality rates of any racial/ethnic group in the United States. We review a complex array of socio-cultural factors, including racism and discrimination, cultural mistrust, misdiagnosis and clinician bias, and informal support networks that contribute to treatment disparities. We identify clinical and community entry points to engage African American men. We provide specific recommendations for frontline mental health workers to increase depression treatment utilization for African American men. Providers who present treatment options within a frame of holistic health promotion may enhance treatment adherence. We encourage the use of multidisciplinary, community-based participatory research approaches to test our hypotheses and engage African American men in clinical research.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it