Towards TB elimination: how are macro-level factors perceived and addressed in policy initiatives in a high burden country?
Notice bibliographique
Résumé
BACKGROUND: Notwithstanding extensive general discussion of the effects of upstream forces on health, there has been limited empirical examination, let alone systematic evidence documenting policy responses to such pathways in the area of tuberculosis (TB) management and control. Our study aimed to gain insight into how macro level drivers of TB are perceived by key stakeholders involved in TB management and control in a high-endemic country, and to assess how such concerns are being addressed in policy initiatives in this setting. South Africa was chosen for this case study due to our team's long-standing collaborations there, its very high burden of TB, and its introduction of a strategic plan to combat this disease. METHOD: Semi-structured interviews were conducted with 20 key informants who were purposively selected for their knowledge and expertise of TB in South Africa. South Africa's National Strategic Plan for HIV, TB and STIs 2017-2022 was then reviewed to examine how identified themes from the interviews were reflected in this policy document. RESULTS: A history of colonization, the migrant labour system, economic inequality, poor shelter, health system challenges including TB governance, the HIV epidemic, and pertinent socio-cultural factors were all perceived to be major drivers of the epidemic. Although South Africa's current National Strategic Plan makes a firm discursive commitment to addressing the structural or macro-level drivers of TB, our analysis revealed that this commitment was not clearly reflected in projected budgetary allocations. CONCLUSION: As in many other high burden settings, macro-level drivers of TB are widely recognized. Nonetheless, while micro-level (biomedical and clinical) measures, such as improving diagnostic procedures and investment in more efficacious drugs, are being (and well should be) implemented, our findings showed that macro-level drivers of TB are underrepresented in budgeting allocations for initiatives to combat this disease. Although it could be argued that structural drivers that undermine health-promoting actions are beyond the purview of the health sector itself, we argue that strategic plans to combat TB in high burden settings need more attention to directly considering such drivers to prompt the necessary changes and reduce the burden of this and other such diseases.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».