Altering physician referral practices is challenging, but not impossible: spine assessment clinic quality improvement study
Notice bibliographique
Résumé
INTRODUCTION: Access to medical specialists is a persistent challenge, with neurosurgical spine services reporting some of the longest waits across all fields. Inappropriate and incomplete referrals contribute to delayed access to these providers. Referral guidelines and physician education have been shown to decrease such inefficiencies. Therefore, the goal of this study was to address inappropriate referrals directed to the neurosurgical spine assessment clinic via implementation of a quality improvement initiative. We hypothesised that appropriate referrals, which included patients with potential surgical pathology and fulfilled referral criteria, would increase by 25% following referral guideline distribution. METHODS: A three-phase study was implemented: (1) baseline data were collected from preintervention referrals by noting the reason for consultation and if certain information, deemed relevant for an appropriate referral, was included; (2) a referral guideline, outlining when and how to refer, was distributed to family physicians in the region; and (3) postintervention referrals were collected and analysed as in phase I. RESULTS: A total of 404 referrals were collected (161 pre-intervention and 243 post-intervention). A 36% increase in patients who were deemed appropriate surgical candidates was reported post-intervention (p=0.044), with an escalation in the proportion of patients requiring neurosurgeon assessment observed over time. Limited improvements were appreciated in the presence of the criteria indicated for inclusion in a referral document. CONCLUSION: While challenges remain when attempting to modify the referring behaviours of primary care physicians, this research has demonstrated that guidelines aimed at enhancing specialist directed referrals can lead to improvements in their performance. Nonetheless, translating guidelines into practice is a recognised issue, often requiring time and multiple exposures. Active forms of medical education and multifaceted interventions have been demonstrated to be the most effective means of implementing guidelines into practice, an approach that could further address referral inadequacies in the future.
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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 | 0,011 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| 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 ».