A Study to Determine How Frequently Patients Are Admitted to Acute General Hospitals With Psychiatric Presentations and Whether Acute Medics Feel Confident in Managing Such Cases
Notice bibliographique
Résumé
Aims Mental Health Trusts have seen significant funding cuts in recent years resulting in higher admissions to acute medical hospitals due to psychiatric disorders. Little information is available on the quantity of such presentations and no studies have explored how confident acute medical doctors feel in managing patients with mental health disorders. Primary objective: To evaluate whether acute medical doctors feel confident in the common psychiatry topics required to manage patients presenting to medical hospitals with mental health disturbances. Secondary objective: To determine how frequently patients with mental health disorders are admitted to medical beds, either primarily due to their psychiatric disorder or due to another medical problem. Methods Acute medical doctors working in Merseyside, UK completed a self-report survey in which they rated their confidence level in relation to common psychiatric topics. Admission data for 4 large hospitals in Merseyside were analysed to determine the proportion of all patients admitted to medicine in a 1-year period who had a mental health disorder. Results were further broken down into primary diagnosis by ICD–11 code to determine which mental health conditions presented most frequently to general medical hospitals. Results 10 acute medical registrars and 33 acute medical consultants completed the survey. Most acute medical doctors felt at least partly confident in their psychiatry knowledge. However, around a quarter of doctors lacked confidence in managing psychotropic medications and performing risk assessments, with a third of acute doctors unsure how to access specialist psychiatric advice. 43.8% of all medical admissions had a mental health disorder. This was comprised of 3.1% who presented primarily due to a mental health illness, and 40.7% who had a mental health disorder but attended for a different reason. Substance misuse accounted for a significant proportion of these admissions. Conclusion Despite almost half of patients admitted to medical beds experiencing mental illness, many acute medical doctors lack confidence managing psychiatric ailments and half of the respondents felt their medical training has not prepared them sufficiently. In addition, many doctors are unsure how to access specialist advice when needed. This leaves both doctors and patients at risk of harm and suggests a need for additional psychiatric training for acute medical doctors and improved access to support.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».