Health Equity Considerations for Screening and Diagnosis of Sexually Transmitted and Blood-Borne Infections Impacted by the COVID-19 Pandemic: A Scoping Review
Notice bibliographique
Résumé
Introduction: Timely access to sexually transmitted and blood-borne infections (STBBI) testing and linkages to care are directly dependent on confirmed medical diagnosis, referred to as the first element of the cascade of care. Access to STBBI testing was impacted by the COVID-19 pandemic in a variety of ways. This pandemic mobilized some public health innovations, reducing roadblocks in the STBBI cascade of care. Objective: The overarching objective of this scoping review was to identify and map available peer-reviewed and open-access gray literature on public health and community-based innovations for testing, screening, and diagnosis of STBBIs during the COVID-19 Pandemic, in Organization for Economic Co-operation and Development (OECD) countries. Methods: MEDLINE (Ovid), CINAHL (EBSCO), Embase (Elsevier), Social Services Abstracts (ProQuest), Sociological Abstracts (ProQuest), Google, https://clinicaltrials.gov/ , and Canadian Agency for Drugs and Technologies in Health Gray Matters were searched between September 2022 and September 2023. During this period, title and abstract screening were completed by three pairs of reviewers. Full text screening and data extraction were completed by two pairs of reviewers. Conflicts were resolved by S.M.G. and J.G. Community engagement was iterative, including regular meetings (two per year) with key stakeholders and rights and title holders. No methodological deviations to note. Data are presented in figure and tabular form and summarized. Results: A total of 7,108 peer-reviewed literatures underwent title and abstract screening, and over 800 gray literatures were considered. Thirteen peer-reviewed and 43 gray literatures, on public health and community-based innovations for testing, screening, and diagnosis of STBBIs in OECD countries, were identified. Results confirmed STBBI resources were eliminated or redirected during the pandemic, while some were adapted, resulting in significant innovation and emphasizing the resourcefulness of those working in this service area. Although novel approaches were identified (e.g., barber shop-based testing), many innovations captured were examples of repurposing existing approaches or reintroducing innovations not implemented. Included literature represented 6/38 OECD countries and six of the common STBBIs. Community-based approaches, developed with existing community-led initiatives show great promise, and dominated the literature. Conclusions: The pandemic motivated public health and community-based innovation, including reimplementation of initiatives previously experiencing barriers to implementation. Many of these innovations shifted screening from clinical settings to community-based settings. Including gray literature enriched the review, as it highlighted ongoing research and community-led research that were not published in academic journals. This scoping review has identified several concepts and innovations that can be explored and evaluated further.
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 | 0,038 | 0,188 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,006 |
| Bibliométrie | 0,021 | 0,017 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,009 | 0,008 |
| Science ouverte | 0,003 | 0,005 |
| Intégrité de la recherche | 0,006 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 ».