Incidence and determinants of tuberculosis among healthcare workers in Free State, South Africa : a historical prospective cohort study and evaluation of infection control
Notice bibliographique
Résumé
Healthcare workers (HCWs) are at high-risk of exposure to tuberculosis (TB) at work, yet the incidence rate of TB disease among HCWs in South Africa, and other high-burden countries, is unknown. The effectiveness of TB infection control (IC) measures in South African hospitals remains unclear and evidence examining the relationship between IC and TB among HCWs is lacking. Objective 1: Estimate the incidence rate of TB among HCWs in Free State, South Africa from 2002-2012; and Objective 2: Examine the association between TB IC scores in Free State hospitals and the incidence of TB among HCWs in 2012. A record linkage was conducted to identify HCWs who were registered as TB patients. A historical prospective cohort study was conducted to obtain incidence rate ratios (IRR) of TB among HCWs in Free State from 2002-2012 and to compare patient characteristics. A mixed-effects poisson regression was used to model the association between facility type, occupation, duration of employment, and the rate of TB. A TB IC workplace assessment tool was used in 28 public hospitals. A generalized linear mixed-effects regression was used to assess the association between TB IC scores and incidence of TB among HCWs in 2012. There were 231,834 people diagnosed with TB in Free State from 2002-2012. Among HCWs, 2,677 cases of TB were diagnosed and 1,280 were expected. IRR ranged from 1.14 in 2012 to 3.12 in 2005. HCWs who were older, male, black, coloured and employed less than 20 years had higher risk of TB. There is a large variability in TB IC in Free State. As total IC score, environmental and personal protective equipment (PPE) score increased, the probability of TB among HCWs in that hospital decreased. This study objectively estimates the rate of TB among HCWs in South Africa. The findings confirm that HCWs are at high risk of TB - as much as three-times higher than the population they serve. These findings re-affirm that overall IC and PPE are essential to prevent HCWs from acquiring TB. More attention to TB IC is warranted to protect HCWs and to stop the TB epidemic.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».