MétaCan
Menu
Retour à la cohorte
Enregistrement W2944401771 · doi:10.1002/wps.20620

Recovery colleges as a mental health innovation

2019· article· en· W2944401771 sur OpenAlex
Rob Whitley, Geoff Shepherd, Mike Slade

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueWorld Psychiatry · 2019
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensMcGill UniversityDouglas Mental Health University Institute
Organismes subventionnairesnon disponible
Mots-clésMedicineMental healthPsychiatryFamily medicine

Résumé

récupéré en direct d'OpenAlex

There is a consensus among the mental health community that recovery from mental illness involves much more than symptom remission. Indeed, people with mental illness often define recovery in terms of living a meaningful, autonomous and empowered life in the community1. Yet they continue to experience numerous inequalities, including high rates of unemployment, low rates of educational attainment, considerable public stigma and social exclusion. Recovery colleges are a new initiative aimed at people with mental illness to support their recovery and address these inequalities. The first recovery colleges emerged in the US in the 1990s, informing a model that has been adapted and implemented across the world in the last decade1. In 2009, the first recovery college opened in London, and there are now more than 70 in the UK2. Recovery colleges now exist in over 20 countries, including Hong Kong, Italy, Sri Lanka, Israel, Japan and the Netherlands. Moreover, a recovery college international community of practice has been established to promote research, knowledge exchange and understanding. Some descriptive research has examined the defining characteristics, core values and central features of recovery colleges. These are mostly single-site case studies3, 4, which have been compared for shared themes in two recent systematic literature reviews5, 6. These studies indicate several common core characteristics across recovery colleges. First, recovery colleges tend to be based on the theory and practice of adult education, rather than clinical or therapeutic models3. As such, they possess many of the core characteristics of an adult education college: registration, enrollment, term curricula, full-time staff, sessional teachers and a yearly cycle of classes. Attendees are students (not patients, clients or service users), and they strive to be serious places of learning2. As such, some colleges are physically located in mainstream adult education institutes (e.g., Mayo Recovery College, Ireland) or higher education settings (e.g., Boston University Recovery Education Program). Second, they offer a range of educational courses that individual students can tailor to their own specific circumstances. These courses often focus on equipping students with new skills that can foster various aspects of their (broadly defined) recovery5, 6. This can include courses on health related factors such as illness management, self-care and physical health; as well as courses on life skills, employment and information technology2, 4, 7. Third, recovery colleges are characterized by the meaningful involvement of people in recovery (peers) in all aspects of college life3-5. Peers are often employed as course teachers, either alone or in conjunction with other experts. This is known as co-delivery. Peers are also frequently involved in college governance and management, with strong input into decisions about curriculum, structure, staffing and overall philosophy. This collaboration between professionals and peers is known as co-production. The emphasis on co-delivery and co-production makes recovery colleges distinct from traditional educational practice. Recovery colleges receive operating funds from a variety of organizations, including official health services, non-profit and corporate donations; as well as government employment and education departments2, 7. The existing descriptive literature indicates that the physical location of recovery colleges differs considerably2, 6. Some are in the community (e.g., Calgary Recovery College, Canada), while others are within hospitals and mental health services (e.g., Butabika Recovery College, Uganda). New models are also emerging, such as online recovery colleges (e.g., https://lms.recoverycollegeonline.co.uk/). Given this variation, research comparing different funding and service delivery models is needed. Current evidence indicates that recovery colleges are popular with students, and that college experience can be beneficial to recovery6, 7. Furthermore, colleges can engage people who find existing services unappealing, and are associated with self-reported improvements in several domains, including self-esteem, self-understanding and self-confidence. Futhermore, students have reported a positive impact on occupational, social and service use outcomes. Indeed, recovery colleges have the potential to equip students with new skills that can help their entry into the workforce5, 6, but there is little quantitative research examining specific impact on employment outcomes. Interestingly, a recent empirical study indicates that colleges may have beneficial impacts beyond the student, by positively affecting the attitudes of mental health staff, reducing stigma within health and social service systems, and increasing inclusiveness in wider society9. Research and evaluation examining recovery colleges is expanding, with ongoing studies in Canada, England and elsewhere. That said, most existing research has uncontrolled, single-case or retrospective designs. There is a lack of rigorous quantitative research and there has not been any randomized trial. Nonetheless, this situation is rapidly changing. A recent rigorous study used a controlled before-and-after design to analyze mental health service use in a large sample of recovery college students, finding that students had lower rates of service utilization after attending a college8. Similarly, a 39-college UK study developed and psychometrically validated recovery college implementation checklists and a fidelity scale (available at researchintorecovery.com/recollect) to assess modifiable and non-modifiable components5. This study confirmed that an educational approach and the use of co-production are foundational to recovery colleges. Importantly, most research has occurred in high-income anglophone countries such as the UK, US, Canada and Australia, indicating a need for further research elsewhere. In summary, recovery colleges are a tangible manifestation of the international push to make the mental health system more recovery-oriented1. They are a pioneering intervention that enact much of the theory and evidence surrounding recovery. First, they can help students address functional and educational deficits that contribute to high rates of social exclusion. Second, they can equip students with self-care techniques, encouraging them to successfully manage their illness and take control of their life2. Third, they are based on an effective partnership between experts by experience (peers) and experts by training (clinicians)3. Hence, recovery colleges have the potential to foster individual student recovery, as well as catalyze wider service change and reduce societal stigma6, 9. In conclusion, recovery colleges offer something very different from current pharmacological and psychological interventions. They have enthusiastic proponents, but rigorous evidence about their impact on outcomes is missing. In particular, randomized controlled trials are needed which evaluate their impact on social and functional outcomes, as much as clinical and service use outcomes.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,553
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0050,007

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.

Tête enseignante Opus0,089
Tête enseignante GPT0,422
Écart entre enseignants0,334 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle