Improving Medication Reconciliation compliance at admission
Notice bibliographique
Résumé
BACKGROUND AND OBJECTIVES: The objective of this research is to improve compliance of the medication reconciliation process at the time of patient admission in the Department of Pediatrics at King Faisal Specialist Hospital and Research Centre, Riyadh, Kingdom of Saudi Arabia using an innovative evidence-based approach. MATERIALS AND METHODS: Most of the recent efforts at our institution to revamp the medication reconciliation process have failed. Thus, we implemented an innovative evidence-based approach to improve the compliance of the reconciliation process at admission. This approach focused on the Department of Pediatrics at King Faisal Specialist Hospital and Research Centre (KFSH&RC). We established specific educational and monitoring programs that were run over a two-month period, from June to July 2015. The educational program consisted of focused hands-on daily interactive training sessions presented to a small group of residents, i.e., 5-6 residents per session, for a period of one week. One resident was identified as a "Super-User" to provide ongoing support for the other residents involved in the process. A close monitoring process was also implemented, which included daily follow up and encouragement from three assigned consultants. In addition, periodic independent audit report results prepared by Healthcare Information Technology Affairs (HITA) were communicated to the Department of Pediatrics regarding physician compliance in the medication reconciliation process. RESULTS: Physician compliance for admission medication reconciliation documentation in ICIS ranged from (0-15%) between the first quarter of 2012 and the first quarter 2015, we designated the official hospital audit for the first quarter of 2015 as a baseline audit report. Between the first quarter of 2012 and 2015, the physician compliance for admission medication reconciliation was ranged between 0 to 15% according to the official hospital audit. We implemented our initiative during the months of June and July 2015. During that time, there was a gradual improvement in the number of admission medication reconciliations reported by the independent audits of our general Pediatrics Ward (B1), which represents the majority of pediatric admissions. The 57% of 26 patients had medication reconciliation completed by the first report dated 16 June 2015. This percentage improved to 92% out of a total of 13 patients at the last report on 12 July 2015. This consistent improvement also occurred in other areas where pediatric patients were admitted including the B3-1 (from 88% to 90%), the NICU 1 (from 83% to 100%) and the NICU 2 (from 90% to 100%). CONCLUSIONS: By structuring and implementing intensive educational and monitoring programs, a marked improvement in the compliance of medication reconciliation at the time of admission for the pediatric patient population was achieved. We believe that our department-based results would be generalizable if a similar hospital-wide programme was to be rigorously implemented.
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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 | 0,001 | 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 | 0,000 |
| 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.
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