Using a Designathon to Develop an HIV Self-Testing Intervention to Improve Linkage to Care Among Youths in Nigeria: Qualitative Approach Based on a Participatory Research Action Framework
Bibliographic record
Abstract
BACKGROUND: UNAIDS (Joint United Nations Programme on HIV and AIDS) and the Nigeria National HIV/AIDS Strategic Framework recommend HIV self-testing and youth-friendly services to enhance HIV testing, linkage to health services, and prevention. However, the voices of youths are seldom incorporated into interventions. We examined qualitative data generated from a series of participatory events in partnership with Nigerian youths focused on enhancing linkage to care. OBJECTIVE: The aim of this study was to assess youth-initiated interventions developed during a designathon to improve linkage to care and sexually transmitted infection services. METHODS: This study conducted a designathon informed by crowdsourcing principles and the participatory research action framework. A designathon is a multistage process including an open call, a sprint event, and follow-up activities. The open call solicited Nigerian youths (14-24 years old) to develop intervention strategies for linkage to care and youth-friendly health services. A total of 79 entries were received; from this, a subset of 13 teams responded to the open call and was invited to participate in a sprint event over 72 hours. Narratives from the open-call proposals were analyzed using grounded theory to identify emergent themes focused on youth-proposed interventions for linkage to care and youth-friendly services. RESULTS: A total of 79 entries (through the web=26; offline=53) were submitted. Women or girls submitted 40 of the 79 (51%) submissions. The average age of participants was 17 (SD 2.7) years, and 64 of 79 (81%) participants had secondary education or less. Two main themes highlighted strategies for enhancing youths' HIV linkage to care: digital interventions and collaboration with youth influencers. A total of 76 participants suggested digital interventions that would facilitate anonymous web-based counseling, text prompt referrals, and related services. In addition, 16 participants noted that collaboration with youth influencers would be useful. This could involve working in partnership with celebrities, gatekeepers, or others who have a large youth audience to enhance the promotion of messages on HIV self-testing and linkage. The facilitators of youths' linkage included health facility restructuring, dedicated space for youths, youth-trained staff, youth-friendly amenities, and subsidized fees. Barriers to HIV linkage to care among youths included a lack of privacy at clinics and concerns about the potential for breaching confidentiality. CONCLUSIONS: Our data suggest specific strategies that may be useful for enhancing HIV linkage to care for Nigerian youths, but further research is needed to assess the feasibility and implementation of these strategies. Designathons are an effective way to generate ideas from youths.
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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 | 0.022 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".