From HIV prevention to non-communicable disease health promotion efforts in sub-Saharan Africa
Bibliographic record
Abstract
OBJECTIVE: To synthesize published literature on noncommunicable disease (NCD) behavior change communication (BCC) interventions in sub-Saharan Africa (SSA) among persons living with HIV (PLHIV) and in the general population to inform efforts to adopt similar HIV and NCD BCC intervention activities. METHODS: We conducted a literature review of NCD BCC interventions and included 20 SSA-based studies. Inclusion criteria entailed describing a BCC intervention targeting any four priority NCDs (cardiovascular disease, type 2 diabetes, cervical cancer, and depression) or both HIV and any of the NCDs. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework was used to assess potential public health impact of these studies. We also solicited expert opinions from 10 key informants on the topic of HIV/NCD health promotion in five SSA countries. RESULTS: The BCC interventions reviewed targeted multiple parts of the HIV and NCD continuum at both individual and community levels. Various strategies (i.e. health education, social marketing, motivational interviewing, mobile health, and peer support) were employed. However, few studies addressed more than one dimension of the RE-AIM framework. Opinions solicited from the key informants supported the feasibility of integrating HIV and NCD BCC interventions in SSA potentially improving access, service provision and service demand, especially for marginalized and vulnerable populations. CONCLUSION: Although HIV/NCD integration can improve effectiveness of preventive services at individual and community levels, potential public health impact of such approaches remain unknown as reach, adoptability, and sustainability of both integrated and nonintegrated NCD BCC approaches published to date have not been well characterized.
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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 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".