Nurse-Led Brief Intervention for Enhancing Safe Sex Practice Among Emerging Adults in Hong Kong Using Instant Messaging: Feasibility Study
Bibliographic record
Abstract
Background The incidence of sexually transmitted infections has been increasing throughout the world. Additionally, substantial changes in emerging adults’ attitudes toward sex and the popularization of premarital sex could further affect the diagnosis and treatment of sexually transmitted infections. With the high acceptability and effectiveness of instant messaging (IM) interventions for health promotion, there is potential for such interventions to improve condom use knowledge and promote safer sex practice. Objective The study evaluates the feasibility of a nurse-led IM intervention to promote safer sex practices in emerging adults. Methods A 30-minute adaptive IM intervention and a 5-day booster dose of daily messages after 2 weeks through WhatsApp (Meta Platforms, Inc) were conducted with emerging adults in local universities in Hong Kong aged between 18 and 29 years with previous sexual experience. A questionnaire was distributed 1 week after the intervention that measured the consistency in condom use, the change in condom use knowledge and attitudes, and the acceptability of the intervention. The feasibility of the intervention was assessed by Bowen’s feasibility framework. Results A total of 20 participants completed the intervention and questionnaire. Results showed (1) high satisfaction level (mean satisfaction score: 9.10/10), (2) high demand of the intervention (retention rate: 95%), (3) smooth implementation of the intervention, (4) high practicality (13/20, 65% of the participants viewed IM to be an effective means of intervention), (5) potential integration of the intervention, and (6) significant mean increase in condom use knowledge and attitudes (mean increase 9.05; t19=3.727; 95% CI 3.97-14.13; P=.001). Conclusions The IM intervention was feasible, acceptable, and had potential impacts on improving safer sex practices. These findings will support the future development of IM interventions in the arena of sexual health promotion.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".