A critical exploration into Manitoba's HIV care cascade
Notice bibliographique
Résumé
Increasingly over the past decade, research has sought to describe and better understand patterns of engagement in the continuum of health care services for people living with human immunodeficiency virus (HIV), and to identify factors that shape engagement. The HIV care cascade was developed as a framework to examine and monitor engagement across sequential stages of the continuum of HIV care, from HIV acquisition to virologic suppression. In Manitoba, data describing the epidemiological trends of HIV and the delivery and utilization of relevant services is scarce. As a result, local understandings of engagement in HIV care are limited. Together, the three studies compiled in this dissertation offer a foundation upon which to expand upon and provide nuance to our current knowledge of HIV epidemiology and HIV-related service coverage in Manitoba. This was specifically achieved through the expansion of local data infrastructure for doing HIV research and programming and the use of an HIV care cascade framework to better conceptualize and understand HIV clinical epidemiology and related health services within the province. First, this work describes the establishment of the first prospective clinical cohort of people living with HIV and receiving HIV care in Manitoba, which was strategically created as an embedded research component of the Manitoba HIV Program. Individual-level clinical data from cohort participants are anonymously linked to relevant provincial administrative health databases. Using these linked data, multiple sets of HIV care cascade indicator definitions were developed through an iterative consultation process with local experts in HIV care, resulting in a final cascade model including the most programmatically relevant indicator definitions and locally relevant estimates. Finally, equity analyses were performed using care cascade data, disaggregated by key demographic and socioeconomic variables. Equiplots were used to visualize absolute inequalities among groups of cohort participants across the cascade steps and multivariable logistic regression models assessed statistical significance of observed inequalities. Expanding local data infrastructure through the development of the first clinical cohort of people living with HIV in Manitoba afforded important opportunities for addressing critical research, programming, and policy questions. Using cohort data to develop a locally relevant HIV care cascade model revealed promising patterns of engagement in HIV care in the province, while highlighting key points of disengagement across the cascade. In particular, individuals living with HIV who are younger, non-white, or have a history of injecting drugs are less likely to be optimally engaged in care in Manitoba. Together, the bodies of work in this dissertation generated evidence, knowledge, and specific tools that can be used to further our understanding of the most effective ways to optimize coverage of HIV care in Manitoba and work towards achieving equity in the health and well-being of people living with HIV in the province.
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 | 0,008 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,021 | 0,007 |
| Communication savante | 0,008 | 0,003 |
| Science ouverte | 0,003 | 0,009 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».