The role of nurses in implementation of public policy on adolescent health in Colombia, Ecuador, and Peru
Bibliographic record
Abstract
BACKGROUND: In Latin America, interventions aimed at adolescents' health suffer from a shortfall of investment and lack of sustainability. Nurses, as an integral part of health services and systems, can lead the implementation and development of public health policies to improve adolescent health. OBJECTIVE: To identify and analyze the role of nurses in the development and implementation of public policies and in the provision of health care to adolescents in Colombia, Ecuador, and Peru. METHODS: The research was carried out in three phases: a documentary analysis, an online survey, and semi-structured focus groups. A total of 48 documents were analyzed, 288 nurses participated in the survey, and 29 nurses participated in the focus groups. RESULTS: State policies aim to guarantee rights, with special protection for children and adolescents. It is an incremental process, with greater involvement of civil society and governments. Participants reported a lack of synergy between law and practice, as well as differences in regulatory compliance in rural areas and in populations of different ethnicities and cultures. Their perception was that the protection of adolescents is not specifically enshrined in the legal bases and regulatory structures of the countries, meaning that there are both protective factors and tensions in the regulatory framework. While nurses are highly committed to different actions aimed at adolescents, their participation in policy development and implementation is low, with barriers related to a lack of specialized training and working conditions. CONCLUSIONS: Given nurses' involvement in different actions aimed at adolescents, they could play a fundamental role in the development of policies for adolescents and ensure their effective implementation. Policymakers should consider revising the budget to make compliance viable, incorporating and using monitoring indicators, and increasing the involvement of educational institutions and the community.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".