Self-care interventions for advancing sexual and reproductive health and rights – implementation considerations
Bibliographic record
Abstract
Self-care refers to the ability of people to promote their own health, prevent disease, maintain health, and cope with illness and disability, with or without the support of a health or care worker. Self-care interventions are tools that support self-care as additional options to facility-based care. Recognizing laypersons as active agents in their own health care, the World Health Organization (WHO)’s global normative guideline on self-care interventions recommends people-centred, holistic approaches to health and well-being for sexual and reproductive health and rights. Examples of such interventions include pregnancy self-testing, self-monitoring of blood glucose and/or blood pressure during pregnancy and self-administration of injectable contraception. Building on previous studies and aligning with the WHO classification for self-care, we discuss nine key implementation considerations: agency, information, availability, utilization, social support, accessibility, acceptability, affordability, and quality. The implementation considerations form the foundation of a model implementation framework that was developed using an ecological health systems approach to support sustainable changes in health care delivery.
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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 | 0.058 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".