Physician follow-up and long-term use of evidence-based medication for patients with hypertension who were discharged from an emergency department: a prospective cohort study
Notice bibliographique
Résumé
BACKGROUND: More than 25% of the population has hypertension. The number of patients seeking care for hypertension in emergency departments has increased by more than 60% in the last decade, with less than 10% of these patients subsequently admitted to hospital. Managing physicians recommend early follow-up to patients who are discharged from the emergency department, but there is a paucity of literature assessing the impact or timing of follow-up on patient outcomes. METHODS: Using a population-based cohort design, we included patients more than 65 years of age who were discharged from an Ontario emergency department with a primary diagnosis of hypertension between 2007 and 2014. We identified 2 cohorts: an incident cohort, and a cohort in which patients were on no more than 1 class of evidence-based antihypertensive medication at the time of presentation. Using logistic regression, we assessed the association of early follow-up care (within 7 d) and basic care (8-30 d), compared with no care within 30 days, on patient use of a new evidence-based antihypertensive medication 1 year later. RESULTS: Our study included 2088 patients with a new diagnosis of hypertension (the first cohort), and 6420 patients in the second cohort. Of patients with new diagnoses, 48.2% and 30.2% obtained early and basic follow-up care, respectively, compared with 50.0% and 30.9% of patients in the second cohort. Compared with patients without follow-up care within 30 days, the adjusted odds of filling an evidence-based antihypertensive medication prescription 1 year later in the incident group were 2.36 (95% confidence interval [CI] 1.86-2.99) for those who received early care, and 2.00 (95% CI 1.55-2.58) for those who received basic care. The adjusted odds in the second cohort were 2.12 (95% CI 1.84-2.43) and 1.96 (95% CI 1.69-2.27), respectively. INTERPRETATION: Early follow-up care after leaving an emergency department with a diagnosis of hypertension was associated with improved long-term use of evidence-based antihypertensive medication. As patients increasingly present to the emergency department for hypertension, a formal, timely follow-up care system could improve patient use of evidence-based antihypertensive medication.
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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 | 0,000 | 0,000 |
| 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 | 0,000 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».