Implementation of three innovative interventions in a psychiatric emergency department aimed at improving service use: a mixed-method study
Notice bibliographique
Résumé
BACKGROUND: Emergency department (ED) use is often viewed as an indicator of health system quality. ED use for mental health (MH) reasons is increasing and costly for health systems, patients, and their families. Patients with mental disorders (MD) including substance use disorders (SUD) and suicidal behaviors are high ED users. Improving ED services for these patients and their families, and developing alternatives to ED use are thus key issues. This study aimed to: (1) describe the implementation of three innovative interventions provided by a brief intervention team, crisis center team, and family-peer support team in a Quebec psychiatric ED, including the identification of implementation barriers, and (2) evaluate the impacts of these ED innovations on MH service use and response to needs. METHOD: Using mixed methods with data triangulation, the implementation and impact of the three above-named ED interventions were studied. Quantitative data were collected from 101 participants (81 patients, 20 family members) using a user questionnaire and patient medical records. Qualitative data were gathered from focus groups (n = 3) with key intervention staff members (n = 14). The user questionnaire also included open-ended questions. Descriptive, comparative and content analyses were produced. RESULTS: Key implementation issues were identified in relation to system, organizational and patient profiles, similar to results identified in most studies in the ED implementation literature aimed at improving responsiveness to patients with MD. Results were encouraging, as the innovations had a significant impact for improved patient MH service use and adequacy of care. Services also seemed adapted to patient profiles. Family members were grateful for the help received in the ED. CONCLUSIONS: Before implementing innovations, managers need to recognize the basic issues common to all new healthcare interventions: the need for staff training and strong involvement, particularly among physicians, development of collaborative tools especially in cases of potential cultural clash between staff and organizations, and continuous quality assessment. Future research needs to confirm the pertinence of these interventions, especially use of family-peer support teams in ED, as a highly innovative intervention. Broader ED strategies could also be deployed to improve MH services and decrease ED use for MH reasons.
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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 | 0,016 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».