Assessment of knowledge, attitude, and practice regarding the disposal of expired and unused medications among the Lebanese population
Notice bibliographique
Résumé
BACKGROUND: Medication waste is a public health problem affecting developed and developing countries. In Lebanon, a developing country in the Middle East, efforts are being deployed in hospitals but not in the community. OBJECTIVE: This study aimed to validate a questionnaire to explore the knowledge, attitude, and practice (KAP) towards the disposal of unused and expired medicines among the Lebanese population and then identify the factors associated with these variables comparatively between the general population and healthcare professionals. METHODS: A cross-sectional study was conducted among the general Lebanese population in May-June 2022 using a standardized questionnaire. The validity and reliability of the KAP scales were assessed, then a thorough statistical analysis was done to explore the factors associated with these scales. RESULTS: The KAP scales generated by this study were valid and reliable. Using these scales, 24.5%, 22.6%, and 21% of participants demonstrated proper knowledge, attitude, and practice, respectively. Higher knowledge scores were significantly associated with female gender (Beta = 0.97), a high monthly income (Beta = 1.68), a secondary (Beta = 6.11) or university (Beta = 6.80) education level, and postgraduate education (Beta = 7.13). However, older age (Beta = - 0.06) and a low monthly income (Beta = - 3.06) were significantly associated with lower knowledge scores. A higher knowledge score (Beta = 0.06) was significantly associated with a more positive attitude regarding unused or expired medication disposal. Being a healthcare professional (Beta = 0.72) was significantly associated with a higher practice score, while being a female (Beta = - 0.32) and living in a rural area (Beta = - 0.37) were significantly associated with lower practice scores. CONCLUSION: This study validated KAP scales regarding medication waste in Lebanon and showed low KAP scores in the majority of respondents. Factors associated with higher KAP scores in various aspects of medication disposal, including gender, age, education level, and profession (healthcare professionals), suggest the need to consider those when implementing targeted corrective measures. Although further studies are required to confirm our findings, this study could be the ground for a medication waste management national strategy in Lebanon.
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 | 0,004 | 0,002 |
| 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 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».