A scoping review of the roles, challenges, and strategies for enhancing the performance of community health workers in the response against COVID-19 in low- and middle-income countries
Notice bibliographique
Résumé
BACKGROUND: Global concerns regarding effective response strategies to the COVID-19 pandemic arose amid the swift spread of the virus to low- and middle-income country (LMIC) settings. Although LMICs instituted several measures to mitigate spread of the virus in low resource settings, including task shifting certain demand and supply functions to community actors such as community health workers (CHWs), there remains a lack of synthesized evidence on these experiences and lessons. This scoping review sought to synthesize evidence regarding the roles and challenges faced by CHWs during the fight against COVID-19, along with strategies to address these challenges. METHODOLOGY: We systematically searched several major electronic databases including PubMed, HINARI, Cochrane Library (Reviews and Trials), Science Direct and Google Scholar for relevant literature. The search strategy was designed to capture literature published in LMICs on CHWs roles during COVID-19 period spanning 2019-2023. Two researchers were responsible for retrieving these studies, and critically reviewed them in accordance with Arksey and O'Malley scoping review approach. In total, 22 articles were included and analysed using Clarke and Braun thematic analysis in NVivo 12 Pro Software. RESULTS: Community health workers (CHWs) played a vital role during the COVID-19 pandemic. They engaged in health promotion and education, conducted surveillance and contact tracing, supported quarantine efforts, and maintained essential primary health services. They also facilitated referrals, advocated for clients and communities, and contributed to vaccination planning and coordination, including tracking and follow-up. However, CHWs faced significant challenges, including a lack of supplies, inadequate infection prevention and control measures, and stigma from community members. Additionally, they encountered limited supportive policies, insufficient remuneration and incentives. To enhance CHWs' performance, regular training on preventive measures is essential. Utilizing digital technology, such as mobile health, can be beneficial. Establishing collaborative groups through messaging platforms and prioritizing access to COVID-19 vaccines are important steps. Additionally, delivering wellness programs and providing quality protective equipment for CHWs are crucial for their effectiveness. CONCLUSION: The study found that CHWs are vital actors within the health system during global pandemics like COVID-19. This entails the need for increased support and investment to better integrate CHWs into health systems during such crises, which could ultimately contribute to sustaining the credibility of CHWs programs and foster more inclusive community health systems (CHSs).
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 | 0,023 | 0,073 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,006 |
| Bibliométrie | 0,022 | 0,023 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,005 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».