Perceptions of Occupational Risk and Adherence to Tuberculosis Prevention Among Health Care Workers: Protocol for a Scoping Review
Notice bibliographique
Résumé
BACKGROUND: Tuberculosis (TB) is a major public health problem around the world. Health care workers (HCWs) are at a much higher risk of contracting TB because they are often working around sick people in clinical settings. Even though HCWs play a key role in controlling TB, we still do not fully understand how they see this risk and how it affects their willingness to follow preventive measures. OBJECTIVE: This study aims to examine the existing body of knowledge on HCWs' perceived risks of TB and how these perceptions impact their adherence to TB prevention measures. The results of this scoping review will identify gaps in the current literature that should inform policy and practice and guide future research studies to optimize TB prevention among HCWs. METHODS: This scoping review will be conducted following the framework proposed by Arksey and O'Malley, incorporating the recent advancements. This approach involves 6 key stages: identifying the research question; identifying relevant studies; selecting studies; charting the data; collating, summarizing, and reporting the results; and consulting with stakeholders. RESULTS: As of June 2024, 1345 records were identified (1234 from databases and 111 from other sources), and 667 duplicates were removed. The remaining 678 records were screened by title and abstract, with 216 progressing to full-text review. After applying the eligibility criteria, 42 studies were included in the final analysis. Screening and full-text assessments were conducted between September and October 2024. Data extraction and thematic analysis were performed in winter 2024. The final data synthesis stage is expected to be completed by 2025. CONCLUSIONS: HCWs' perceptions of risk have a considerable effect on how well they follow TB prevention measures such as using personal protective equipment and undergoing health screenings. Lack of resources, lack of training, and the stigma around TB are some of the main barriers to TB prevention adherence. The thematic analysis showed that adherence levels were different depending on the support offered by the institution and the TB knowledge level and perception of each HCW. Although TB treatment has become more effective, nosocomial infections are still a big concern, especially in low- and middle-income countries like Indonesia, where HCWs are more likely to have latent TB infections. This review shows how important it is for HCWs to understand how TB prevention behaviors work. To improve HCW adherence, the gaps in institutional support, stigma, and training must be filled. Future interventions should be based on the specific problems found in low- and middle-income countries. This will make health care safer for everyone around the world. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/64037.
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 | 0,086 | 0,076 |
| Méta-épidémiologie (sens strict) | 0,005 | 0,006 |
| Méta-épidémiologie (sens large) | 0,011 | 0,013 |
| Bibliométrie | 0,015 | 0,014 |
| Études des sciences et des technologies | 0,006 | 0,005 |
| Communication savante | 0,007 | 0,008 |
| Science ouverte | 0,006 | 0,007 |
| Intégrité de la recherche | 0,008 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,066 | 0,011 |
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 ».