Sexual health and wellbeing training with women in Pacific Island Countries and Territories: a scoping review
Bibliographic record
Abstract
BACKGROUND: Women who are spouses of students at a faith-based university in Papua New Guinea (PNG) are afforded proximal power. These women are perceived as leaders and regularly approached by members in their communities to provide advice on sexual and reproductive health matters. Women leaders therefore need access to sexual health information and training to provide appropriate advice. OBJECTIVE: The aim of this paper is to review the characteristics of community-based sexual health training in Pacific Island Countries and Territories (PICTs), as reported in published literature. This is evidence to inform the development of sexual health training programs for women in PNG. METHODS: A systematic search of databases, repositories and websites identified peer-reviewed studies. Grey literature was also sourced from government and non-government organisations and PNG health professionals. Six published papers, one report, one health worker practice manual and one health worker training package were identified for inclusion. Selected papers were assessed against the Canadian Hierarchy of Evidence to determine quality of evidence for practice. Themes were identified using a thematic analysis approach. RESULTS: . Social and cultural context influenced all elements of sexual health training in PICTs. Few studies reported evidence of comprehensive evaluation. CONCLUSIONS: Successful sexual health training programs in PICT communities are designed and delivered accounting for local contexts. Programs that engage participants with diverse abilities inspire change to achieve desired outcomes. Key findings from this study can be used to assist women leaders to contextualise and operationalise sexual health training to promote the wellbeing of members in their communities.
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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 | 0.010 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.011 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| 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".