The Lived Experiences of Ugandan Community Health Workers Engaged in Prevention of Vertical Transmission of HIV and a Capacity-Building Intervention
Bibliographic record
Abstract
OBJECTIVE: To explore the lived experiences of community health workers (CHW) engaged in efforts toward the elimination of vertical transmission (EVT) of HIV and to assess the impact of a capacity-building training intervention. DESIGN: The study consisted of (1) a qualitative assessment of lived experiences of CHWs; (2) a capacity-building training intervention responsive to identified needs; and (3) assessment of the training intervention using pre- and postintervention questionnaires. METHODS: Focus group discussions and semistructured key informant interviews in addition to CHW training sessions for HIV/EVT were held in 1 rural and 1 semiurban setting in Uganda, based on training materials developed by the World Health Organization and the United States Agency for International Development (USAID). We used standardized pre- and postintervention questionnaires to assess comprehensive knowledge and accepting attitudes toward HIV. RESULTS: Qualitative exploration of the lived experience of 152 CHWs in 10 focus group discussions and 4 key informant interviews revealed several themes: (1) CHWs as bridges between health system and community; (2) CHW assets (tacit knowledge and shared social networks); (3) CHW challenges (stigma, secrecy, and ethical quandaries); (4) favorable community reception; and (5) need for continuing education and reinforcement of skills. In response to identified needs, a capacity-building intervention was designed and implemented with 143 CHWs participating in 10 sessions. The proportion of participants with comprehensive knowledge of HIV increased from 45% to 61% ( P = 0.006), and the proportion endorsing accepting attitudes increased from 63% to 76% ( P = 0.013). CONCLUSION: CHWs are potentially valuable players in global EVT efforts. Ongoing training is needed to support community-level initiatives.
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 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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".