Visits to primary care physicians and the impact on Hepatitis C Virus (HCV) transmission among HCV- seronegative persons who inject drugs
Notice bibliographique
Résumé
Introduction: Persons who inject drugs (PWID) are confronted with a considerably high risk of infection with the Hepatitis C Virus (HCV). To effectively avert HCV transmission rates in this population, international guidelines recommend combining multiple prevention strategies. While the role of primary care physicians (PCP) in HCV prevention is increasingly emphasized, PWID have generally suboptimal contacts with primary healthcare services, and little is known about the factors that may enhance or deter contacts. Further, no study has yet examined the effect of visiting a PCP on HCV transmission among PWID. Aims: This investigation had three specific objectives: (I) to examine the prevalence of visiting a PCP, (II) to explore the associated factors, and (III) to assess the effect of visiting a PCP as part of a comprehensive prevention approach, on HCV transmission, among PWID at risk of HCV infection. Methods: A prospective cohort study, HEPCO, was carried out among HCV-seronegative PWID in Montréal, Canada (2004 – 2011). At each semi-annual visit, an interviewer-administered questionnaire elicited information on socio-demographic factors, drug use patterns and related behaviors, as well as healthcare and community-based services use. Blood samples were drawn and tested for HCV antibodies. Using the Gelberg-Andersen Health Model, logistic regression analyses were carried out on baseline data to examine predisposing, need and enabling factors associated with PCP visits. To investigate the association between visiting a PCP and HCV incidence, a Cox-regression model was conducted among participants reporting needle exchange program (NEP) attendance at baseline. Results: Of 349 participants having completed the baseline questionnaire (80.8% male, mean age: 34), 32.1% reported having visited a PCP in the previous six months. In logistic regression analyses, among predisposing factors, male gender (Adjusted Odds Ratio (AOR)= 0.45, [0.25 - 0.82]), chronic homelessness (AOR= 0.09, [0.01 – 0.69]) and cocaine injection (AOR= 0.46, [0.28-0.75]) were negatively associated with PCP visits. Need factors did not correlate significantly with the outcome. Among enabling factors, reporting a greater proportion of the income through stable sources (AOR= 2.07, [1.18 – 3.62]), contact with food banks (AOR= 2.02, [1.20 – 3.38]) and contact with street nurses (AOR= 3.85 [1.49 – 9.96]) were positively associated with PCP visits. Among 160 HCV-seronegative PWID having attended NEP at baseline and followed-up at least once, HCV incidence was 23.1 per 100 person-years [18.0 – 29.3]. In a multivariate Cox regression model adjusting for age, gender and HCV-risk factors, visiting a PCP was found to significantly reduce the risk of HCV-seroconversion (Adjusted Hazard Ratio= 0.52, [0.27 – 0.98]). Interpretation: Only a minority of PWID reported having visited a PCP. While specific predisposing factors seem to render PWID less likely to visit PCP, contacts with community-based outreach services may play an important role in engaging these individuals into primary care. Further, findings suggest that visiting a PCP, as part of a comprehensive HCV prevention approach, has a protective effect on HCV transmission.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 source (Gemma direct ou Codex distillé), 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 ».