Community Health Workers in Spain: a missing strategy to tackle hepatitis in migrant populations
Bibliographic record
Abstract
Abstract Community health workers (CHWs) are health care providers which live and serve in the community and are responsible for the provision of health education to their communities, promoting healthy habits and lifestyles, diagnosing common illnesses, and encouraging the use of health services by linking people to health services. CHW programmes have been formally included as part of national health systems in many low- and middle-income countries (e.g., Ethiopia or Brazil), along with some high-income countries (e.g., Canada). Despite the major contribution CHWs have proven to make in health systems globally, Spain has yet to introduce a law acknowledging their role in the health system. The introduction of CHWs allows for the decentralization of health services and their extension beyond the regular forms of health service delivery (e.g. primary health centres or hospitals) as additional strategies for equity and person-centred care. CHWs have the capacity to reach underserved and vulnerable populations, including marginalized populations, which often encounter barriers to engage with their health systems. Migrant communities in Spain are an example of communities which are often marginalized and struggle to have their health needs met through their host health system. For instance, studies have reported a significantly higher prevalence of chronic infection of Hepatitis B virus (HBV) among migrants in comparison to the general Spanish population and late presentation to care in this population has been reported. CHWs have the potential to reach these underserved communities and provide culturally and linguistically appropriate health information, emphasizing the importance of HBV prevention, management and treatment, and vaccination. Ultimately, CHWs can offer decentralized and accessible health care and lead in co-creation processes for effective viral hepatitis - including HBV vaccination- services in community spaces and facilitate linkage to higher levels of care.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".