A Randomised Controlled Trial of Medication Liaison Services—Patient Outcomes
Notice bibliographique
Résumé
Objectives: To evaluate the effects of a Medication Liaison Service (MLS) on quality of medication‐related information associated with hospital admission, risk of drug misadventure and other patient outcomes, and health resource utilisation. Method: Patients were randomly selected from eight acute wards (servicing 12 medical and five surgical units) and an orthopaedic pre‐admission clinic at two major hospitals. Subjects were randomly assigned to an intervention (MLS) or control group. For each patient in the MLS group a clinical pharmacist attached to the MLS contacted the general practitioner and community pharmacist in order to prepare a comprehensive medication history. Prior to discharge, the MLS clinical pharmacist, in consultation with the hospital medical staff, prepared a discharge communication which included a list of medications on admission and discharge, corresponding therapy changes, intended duration of therapy, sources of supply, allergies and adverse drug reactions, new therapeutic devices, medication‐related problems and actions required by the general practitioner. This information was forwarded to the patient's general practitioner and community pharmacist within 24 hours of discharge. Patient outcomes were evaluated 30 days after discharge using a mailed questionnaire and review of medical files. Results: Of 240 patients recruited, 113 were randomised to the MLS group and 127 to the control group. During hospital admission a significantly greater proportion of MLS subjects experienced a clinical pharmacist intervention (MLS 68% vs control 44%) and more subjects had at least one change to their therapy (MLS 97% vs control 90%), with more interventions (mean MLS 1.43 [SD 1.5] vs control 0.77 [SD 1.1]) and more medication changes per subject (mean MLS 3.75 [SD 2.6] vs control 3.10 [SD 2.3]). There was no significant effect on length of stay or mortality. In the 30 days following discharge there were fewer réadmissions per subject in the MLS group (mean 0.12 [SD 0.4] vs 0.46 [SD 1.9]) but this difference did not quite reach statistical significance (p = 0.055). The MLS group had significantly fewer healthcare professional visits per subject (mean MLS 7.54 [SD 7.4] vs control 9.94 [SD 10]). In an assessment of functional health status, MLS subjects improved for 7 of 8 factors (significantly so for two), and tended to improve more than controls in all factors except vitality. Conclusion: MLS was associated with improved patient outcomes and a greater number of inpatient clinical pharmacy interventions and medication changes intended to optimise therapy. There was also a tendency for reduced readmissions, a significant decrease in community healthcare professional visits, and significant improvements in functional health status score.
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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 | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| 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) | 0,001 | 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 ».