Never tested for HIV in Latin‐American migrants and Spaniards: prevalence and perceived barriers
Notice bibliographique
Résumé
INTRODUCTION: Increasing the uptake of HIV testing and decreasing the number of undiagnosed people is a priority for HIV prevention. Understanding the barriers that hinder people from testing is vital, particularly when working with especially vulnerable populations like migrants. Most data available on migrants are based on African migrants in the UK, while barriers to HIV testing in Latin-American migrants living in Europe remain unexplored. Still, they account for a quarter of new diagnosis in Spain and suffer higher rates of delayed diagnosis. METHODS: Between May 2008 and March 2011, a mobile unit offered free rapid HIV tests in different Spanish cities. We compared the prevalence of no previous testing, adjusting for potential confounders by two multivariate logistic models, and described differences in perceived barriers to testing in Latin-American migrants living in Spain versus Spaniards. Participants included men who have sex with men (MSM), men who have sex exclusively with women (MSW), and women. RESULTS: Of the 5920 individuals who got tested and answered a self-administered questionnaire, 36.5% were MSM (20.4% previously untested), 28.9% were MSW (49% previously untested) and 34.6% were women (53% previously untested). Almost one quarter were Latin-American, of whom 30% had never been tested versus 45% of untested Spaniards. After adjusting for potential confounders, Spaniards were more likely to report no previous testing than Latin-Americans among women and MSW all together (Odds Ratio (OR)=2.0; 95% Confidence Interval (CI): 1.7-2.4) and among MSM (OR=1.6; 95% CI: 1.2-2.0). Among the 2455 who had never undergone an HIV test before, main barriers to testing were low perceived risk (54% Spaniards vs. 47% Latin-American) and concerns arising from the loss of anonymity (19.5% vs. 16.9%). Fear of rejection or discrimination and fear of legal problems were a barrier for <2%. CONCLUSIONS: Latin-American migrants living in Spain were more likely to get tested than Spaniards. Regardless of nationality, low perceived risk was the main barrier to testing whereas fear of stigma or discrimination and fear of legal problems were merely incidental. However, new Spanish austerity policies regarding healthcare for migrants in response to the economic crisis may reverse this situation.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».