Kukaa Salama (Staying Safe): a pre-post trial of an interactive informational mobile health intervention for increasing COVID-19 prevention practices with urban refugee youth in Uganda
Bibliographic record
Abstract
BACKGROUND: Tailored coronavirus disease 2019 (COVID-19) prevention strategies are needed for urban refugee youth in resource-constrained contexts. We developed an 8-wk interactive informational mobile health intervention focused on COVID-19 prevention practices informed by the Risk, Attitude, Norms, Ability, Self-regulation-or RANAS-approach. METHODS: We conducted a pre-post trial with a community-recruited sample of refugee youth aged 16-24 y in Kampala, Uganda. Data were collected before (T1) and immediately following (T2) the intervention, and at the 16-wk follow up (T3), to examine changes in primary (COVID-19 prevention self-efficacy) and secondary outcomes (COVID-19 risk awareness, attitudes, norms and self-regulation practices; depression; sexual and reproductive health [SRH] access; food/water security; COVID-19 vaccine acceptability). RESULTS: Participants (n=346; mean age: 21.2 [SD 2.6] y; cisgender women: 50.3%; cisgender men: 48.0%; transgender persons: 1.7%) were largely retained (T2: n=316, 91.3%; T3: n=302, 87.3%). In adjusted analyses, COVID-19 prevention self-efficacy, risk awareness, attitudes and vaccine acceptance increased significantly from T1 to T2, but were not sustained at T3. Between T1 and T3, COVID-19 norms and self-regulation significantly increased, while community violence, water insecurity and community SRH access decreased. CONCLUSIONS: Digital approaches for behaviour change hold promise with urban refugee youth but may need booster messaging and complementary programming for sustained effects.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".