Information and communication technologies (ICT) for promoting sexual and reproductive health (SRH) and preventing HIV infection in adolescents and young adults
Bibliographic record
Abstract
This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: Our main goal is to provide knowledge about the effectiveness and adoption factors of ICT interventions on SRH promotion and HIV/AIDS prevention among adolescents and young adults. Primary objective: To assess the effectiveness of ICT interventions for SRH promotion including HIV/AIDS prevention among adolescents and young adults. Interventions of interest are the behavioral ones, aimed at SRH promotion and primary prevention of HIV in heterosexual adolescents and young adults. Three comparisons are then planned: 1‐ ICT intervention versus no intervention; 2‐ ICT intervention versus other interventions not using ICT; 3‐ ICT intervention versus another ICT intervention. To assess the influence of specific factors across studies, subgroup comparisons will be conducted with respect to the characteristics of technology, intervention and recipients. The following characteristics provide potential categories for grouping studies, but the number of subgroup comparisons will depend on the characteristics of the studies included in the review. Characteristics of technology: internet (internet‐based, web‐based and online intervention), computer, cell phone, Personal Digital Assistance, CD‐Rom, interactive video, telemedicine/telehealth, etc. Characteristics of interventions: clinic‐based, school‐based, population‐based, community‐based, peer‐support, tailored, targeted, theory‐based, etc. Characteristics of recipients: gender (male, female), age (adolescents, young adults), place of residence (urban, rural). Secondary objective: To identify factors of applicability of ICT interventions in SRH promotion and HIV/AIDS prevention among adolescents and young adults. We will develop the discussion on the limitations and opportunities of ICT approaches (access, cost, ease of use, confidentiality/privacy, etc.).
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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 | 0.031 | 0.060 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.011 |
| Bibliometrics | 0.016 | 0.017 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.055 | 0.006 |
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".