Smoking behaviour, knowledge and attitudes among Family Medicine physicians and nurses in Bosnia and Herzegovina
Notice bibliographique
Résumé
BACKGROUND: Smoking rates among the general population in Bosnia and Herzegovina are extremely high, and national campaigns to lower smoking rates have not yet begun. As part of future activities of the Queen's University Family Medicine Development Program in the Balkans Region, technical assistance may be provided to Bosnia and Herzegovina to develop of national tobacco control strategies. This assistance may focus on training doctors and nurses on smoking cessation strategies with a view to helping their patients to stop smoking. Given this important role that health professionals have, data is needed on smoking rates as well as on smoking behaviour among doctors and nurses in Bosnia and Herzegovina. This study therefore seeks to determine the smoking rates and behaviour of family medicine physicians and nurses in Bosnia and Herzegovina and to determine how well prepared they feel with respect to counselling their patients on smoking cessation strategies. METHODS: The WHO Global Health Professional Survey, a self-administered questionnaire, was distributed to physicians and nurses in 19 Family Medicine Teaching Centres in Bosnia and Herzegovina in June 2002. Smoking rates and behaviour, as well as information on knowledge and attitudes regarding smoking were determined for both physicians and nurses. RESULTS: Of the 273 physicians and nurses currently working in Family Medicine Teaching Centres, 209 (77%) completed the questionnaire. Approximately 45% of those surveyed currently smoke, where 51% of nurses smoked, compared to 40% of physicians. With respect to knowledge and attitudes, all respondents agreed that smoking is harmful to one's health. However, "ever" smokers, compared to "never" smokers, were less likely to agree that health professionals who smoke were less likely to advise patients to quit smoking than non-smoking health professionals. Less than half of physicians and nurses had received formal training in smoking cessations strategies, but about two thirds of health professionals felt very or somewhat prepared to counsel their patients on how to quit smoking. CONCLUSIONS: Our study indicates that almost half of Family Medicine health professionals in Bosnia and Herzegovina are smokers. This indicates a severe public health problem throughout the country. Steps need to be taken at a national level to address the fight against tobacco.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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) | 0,002 | 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 ».