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Enregistrement W238795880

Physician-Based Tobacco Smoking Cessation Counseling in Belgrade, Serbia.

2009· article· en· W238795880 sur OpenAlexaboutno aff
Ray M. Merrill, T. Harmon, Heather Gagon

Notice bibliographique

Revue˜The œinternational electronic journal of health education · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueSmoking Behavior and Cessation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineSmoking cessationNicotine replacement therapyBupropionFamily medicinePsychological interventionNicotinePsychiatry
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction The risk and burden of tobacco smoking on illness (e.g., several cancers, chronic obstructive pulmonary disease, and cardiovascular diseases) and death is well established. (1,2) About five million people die from smoking-related illnesses each year, with over half of these deaths occurring in the age range 30 to 69 years. (3) Yet, studies have shown that physician counseling of patients can substantially reduce smoking rates. (4-9) Physician counseling can have both a positive impact on a patient's desire to quit smoking, as well as on their follow-up commitment to remain tobacco free. (10) In a study among adults in Ontario, Canada, about two thirds viewed physicians as a very good source of advice on quitting smoking. (11) A Cochrane database system review found that brief advise intevention can increase smoking cessation by 3%, beyond an unassisted quit rate of 2 to 3%. Additional benefit, albeit small, occurred with follow-up visits.10 In another review study, intensive smoking advise from physicians, bupropion, and nicotine replacement therapy were confirmed as effective smoking cessation interventions in adults. (12) In a U.S. study, patients who were prescribed nicotine replacement therapy and received smoking cessation advice and support from their physician were significantly more likely to quit smoking than those who only received nicotine replacement therapy. (13) Thus, increased involvement of physicians in counseling patients about smoking is an important strategy for lowering smoking-related illness and death. Limited physician time is a major obstacle for providing counseling and follow-up in primary care. (14) In addition, health-care workers often feel inadequately trained and unequipped with the proper resources to effectively counsel patients about smoking. (15-17) In a prospective study involving outpatients in Switzerland, only 28% of the patients received information about the risk of smoking, and only 10% discussed cessation. (18) Further, physicians who smoke tend to be less likely to counsel their patients about smoking or initiate cessation interventions. (19,20) Little is currently known about tobacco-cessation counseling provided by physicians in Serbia, and how this practice corresponds with the physicians' own training on counseling patients about smoking. Purpose of Study This preliminary study will identify the percentage of physicians who regularly counsel their patients about smoking, the percentage of physicians trained in patient counseling, and how training corresponds to patient counseling. In addition, physician counseling of patients about smoking will be examined according to physician cessation training and physician smoking status. Methods Subjects This preliminary study focused on practicing physicians in Belgrade, Serbia. Belgrade is the capital of the country with its own autonomous city government. It is the central economic hub of Serbia and the leader in Serbian culture, education, and science. Approximately 21% of the country's population lives in Belgrade. (21,22) Analyses were based on a sample of 86 physicians, practicing in selected public and private health care facilities in Serbia. Key administrators in each hospital were contacted to obtain approval to administer the questionnaire. Public and private health care facilities and a large hospital in Belgrade were selected (Institut za Zdravstvenu Zastitu Majke i Deteta Srbije and Klinicki Urgenti Centar Srbije; Dom Zdravlja, Novi Beograd). These facilities were conveniently selected, although believed to provide a good representation of physicians in Belgrade, Serbia. The administrators of each facility provided a verbal agreement of their willingness to participate. The numbers of physicians who completed questionnaires in the two sample groups were 50 and 36, respectively. Instruments and Procedures The questionnaire consisted of four sections. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,069
Score d'incertitude au seuil0,138

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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.

Tête enseignante Opus0,020
Tête enseignante GPT0,342
Écart entre enseignants0,322 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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