Interventions to Maintain HIV/AIDS, Tuberculosis, and Malaria Service Delivery During Public Health Emergencies in Low- and Middle-Income Countries: Protocol for a Systematic Review
Notice bibliographique
Résumé
BACKGROUND: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted. To date, there has not been a systematic synthesis of interventions implemented to maintain the delivery of these services during emergencies. OBJECTIVE: This study aimed to synthesize the interventions implemented to maintain HIV/AIDS, tuberculosis, and malaria services during public health emergencies in low- and middle-income countries. METHODS: The systematic review was registered in the international register for prospective systematic reviews. It will include activities undertaken to improve human health either through preventing the occurrence of HIV, tuberculosis, or malaria, reducing the severity among patients, or promoting the restoration of functioning lost as a result of experiencing HIV, tuberculosis, or malaria during health emergencies. These will include policy-level (eg, development of guidelines), health facility-level (eg, service rescheduling), and community-level interventions (eg, community drug distribution). Service delivery will be in terms of improving access, availability, use, and coverage. We will report on any interventions to maintain services along the care cascade for HIV, tuberculosis, or malaria. Peer-reviewed study databases including MEDLINE, Web of Science, Embase, Cochrane, and Global Index Medicus will be searched. Reference lists from global reports on HIV/AIDS, tuberculosis, or malaria will also be searched. We will use the GRADE-CERQual (Grading of Recommendations Assessment, Development, and Evaluation-Confidence in Evidence from Reviews of Qualitative Research) approach to report on the quality of evidence in each paper. The information from the studies will be synthesized at the disease or condition level (HIV/AIDS, tuberculosis, and malaria), implementation level (policy, health facility, and community), and outcomes (improving access, availability, use, or coverage). We will use the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist to report findings and discuss implications for strengthening preparedness and response, as well as strengthening health systems in low- and middle-income countries. RESULTS: The initial search for published literature was conducted between January 2023 and March 2023 and yielded 8119 studies. At the time of publication, synthesis and interpretation of results were being concluded. Final results will be published in 2025. CONCLUSIONS: The findings will inform the development of national and global guidance to minimize disruption of services for patients with HIV/AIDS, tuberculosis, and malaria during public health emergencies. TRIAL REGISTRATION: PROSPERO CRD42023408967; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=408967. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/64316.
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 | 0,068 | 0,092 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,006 |
| Méta-épidémiologie (sens large) | 0,022 | 0,022 |
| Bibliométrie | 0,013 | 0,014 |
| Études des sciences et des technologies | 0,005 | 0,005 |
| Communication savante | 0,009 | 0,009 |
| Science ouverte | 0,005 | 0,005 |
| Intégrité de la recherche | 0,008 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,059 | 0,007 |
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 ».