468 I can relate! Design and implementation of a clinic-based caregiver mentorship program
Notice bibliographique
Résumé
Background: The St. Paul's Hospital (SPH) Adult Cystic Fibrosis Clinic (Vancouver, Canada) has been conducting annual anxiety and depression screenings using the Generalized Anxiety Disorder seven-item scale and Patient Health Questionnaire-9 since January 2019.The purpose of this quality improvement audit was to identify, from a patient perspective, supportive components of our adult CF anxiety and depression screening program (and mental health services in general) and areas that may be lacking.Methods: An anonymous online survey link with consent was emailed to patients aged 19 and older at the SPH Adult CF Clinic using the Qualtrics survey tool whether they had been screened for anxiety and depression or not.The survey included 55 quantitative and qualitative questions on whether the screening process provided appropriate space, time and support to discuss mental health issues; whether they were able to act on recommendations and referrals and if not why; whether there were challenges accessing recommended counseling and what were these; how useful the educational package provided was; if patients declined to be screened, what were the reasons; and overall how well they felt the CF clinic supported their mental health and emotional wellness.Results: At the time of the survey, there were approximately 300 patients registered at the SPH Adult CF Clinic, most of whom were aged 19 and older.We received 48 survey responses (16% of the clinic population), 43 of whom completed screenings; 41 (95%) agreed that there was a safe, private space created for the screening process and that they were treated with respect, and 29 (68%) were satisfied with the screening program.When assessing the general mental health supports in the CF clinic, 43 (90%) felt that their mental health and emotional well-being were valued by the CF team as part of their overall health and CF care, and 29 (60%) accessed mental health and emotional well-being support from a CF clinic team member: 28 (97%) from a social worker, 20 (69%) from a psychiatrist, and seven (24%) from a nurse.Although 20 (69%) indicated that there were no barriers to accessing support, some faced barriers; nine (31%) reported long wait times to get an appointment, six (21%) could not see the provider as often as needed, and four (14%) felt that it was difficult to connect with a care provider.When asked to indicate which mental health supports are missing in the clinic, 20 of 48 (44%) selected in-clinic counselor services, 16 (33%) selected virtual workshops, 16 (33%) selected access to mental health and emotional wellness resources, and 15 (31%) selected additional psychiatry time.Qualitative responses indicated the need for moreconsistent mental health follow-up and check-ins.Conclusions: Patients were positive about the screening program and focus on mental health.They requested additional psychiatry time; a counselor with knowledge of CF attached to the clinic; and affordable, timely access to community counselors with CF knowledge.They desire more mental health check-ins and follow-ups between visits, virtual group workshops on CF and mental health, and better access to mental health and emotional wellness resources.With this data and insight into the patient experience, we aim to improve and strengthen the screening program and overall mental health support at our CF clinic and inform other Canadian CF clinics.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,025 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,004 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,004 |
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 ».