Implementing Acute Stroke Services in Sub-Saharan Africa: Steps, Progress, and Perspectives from the Tanzania Stroke Project
Notice bibliographique
Résumé
INTRODUCTION: Stroke is a leading cause of morbidity and mortality globally, with Africa bearing a disproportionately high burden of poor outcomes. In sub-Saharan Africa, acute stroke care remains inconsistent, with organized stroke units being either absent or rarely available, contributing to the high stroke mortality rates in the region. To address this issue, the Tanzania Stroke Project (TSP) was launched, aimed at establishing acute stroke services at two of the largest tertiary care centers in collaboration with the Tanzanian Ministry of Health, the World Stroke Organization, and Hospital Directorates. METHODS: TSP utilized a three-tier implementation approach to establish a more organized stroke care system in two large academic hospitals. Here, we detail the process of this initiative, which took place between August 2023 and August 2024. The three-tier approach included (1) the establishment of stroke registries; (2) the training of healthcare workers (HCWs); and (3) the development of acute stroke protocols and establishment of stroke units at Muhimbili National Hospital-Mloganzila and Bugando Medical Center in Tanzania. RESULTS: In tier one (stroke registry), two comprehensive stroke registries were established, including 460 adults (mean age 60 ± 15 years). Hemorrhagic stroke was the most common subtype, accounting for 59% of cases (n = 269). Premorbid hypertension was the most prevalent risk factor, affecting 81% (n = 373) of the patients. More than half of patients (58%, n = 171) arrived at the hospital after 24 h from stroke symptoms. Only 11% (n = 50/452) had documented swallowing screenings, and among patients with intracerebral hemorrhage, 11% (n = 28/251) achieved the target for blood pressure control, while 47% (n = 99/213) met blood glucose control targets. The in-hospital mortality rate was 27% (n = 93/340). In tier two (training of HCWs), extensive evidence-based mentorship training was provided with higher participation rates among HCWs at Bugando Medical Center compared to Muhimbili National Hospital-Mloganzila (57% [29/51] vs. 23% [7/31], p = 0.002). In tier three (stroke unit protocols), stroke protocols were developed based on the training and current evidence, leading to the establishment of dedicated stroke units at each facility, with a minimum of 8 beds per unit. The full impact of these implementations has yet to be fully assessed. CONCLUSION: This was the first initiative to implement stroke services at two large tertiary healthcare centers in Tanzania. Our findings highlight the importance of multilevel stakeholder engagement through a 3-tier approach in countries starting to establish stroke services and the need for ongoing quality-of-care monitoring and continuous efforts to sensitize both HCWs and the broader community.
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 | 0,024 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».