MétaCan
Menu
← Retour à la cohorte
Enregistrement W2946308014 · doi:10.1097/01.acm.0000558048.02925.69

Commentary on “Medical School: A Mental Battle”

2019· letter· en· W2946308014 sur OpenAlexaboutno aff
Raihan Mohammed, Utkarsh Ojha

Notice bibliographique

RevueAcademic Medicine · 2019
Typeletter
Langueen
DomainePsychology
ThématiqueMental Health Treatment and Access
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMental healthQuarter (Canadian coin)BattleWorkloadAnxietyPsychologyMedical educationDepression (economics)PsychiatryMedicineManagementGeography

Résumé

récupéré en direct d'OpenAlex

The transition from high school to higher education (and, in the United Kingdom, to medical school) can be challenging for many students; many are moving out of their family home for the first time. Students’ often-romanticized expectations of how university life will be tend to conflict with the reality of its inherent hardships. At university, students face academic, personal, social, and financial challenges, as illustrated in “Medical School: A Mental Battle.” In 2016, the World Health Organization found that one-fifth (20.3%) of college students in the United States had mental health disorders.1 A similar YouGov survey highlighted the extent of this issue in the United Kingdom, where over a quarter (27%) of students reported having a mental health problem of one type or another.2 These figures suggest that the prevalence of mental health problems amongst students is increasing to almost epidemic levels. As medical students at UK universities (Cambridge and Imperial), we have witnessed firsthand the impact of mental health issues amongst our colleagues. We have seen peers relish their exhaustion, flaunting it as a trophy of hard work. We have seen students develop eating disorders and isolate themselves to cope with the workload and the competitive pressure to succeed. Students who feel lonely are at a greater risk of developing mental health problems, such as anxiety and depression.3 In September 2017, Sodexo released its biennial International University Lifestyle Survey.4 They collated research on the student experience from over 4,000 students in six countries. They reported that 32% of students globally admit to loneliness while studying at university, and 42% have considered dropping out because of physical or mental health issues.4 The report highlights how, paradoxically, loneliness as a significant mental health problem unites students across the globe. The potentially harmful effects of loneliness and social isolation on mental health and longevity are well established,5 yet loneliness itself can be rather subjective, as it is synonymous with perceived, rather than objective, social isolation. Further, the sense of social isolation associated with the stigma of mental illness exacerbates loneliness,6 and the perceived stigma causes students to be unwilling to seek help.7 Exacerbating the problem is the reality that many universities are not adequately equipped to deal with this major issue7 and need to increase spending on support.8 We note, however, some positive changes. One report indicated that, compared with 10 years ago, nearly five times as many students disclosed a mental health condition to their university.9 Furthermore, the majority of students (84%) now accept that mental illness is as serious as physical illness, suggesting that the stigma around mental health is beginning to diminish.10 Social enterprises, such as Student Minds in the United Kingdom, are mounting campaigns and hosting promotional events to raise awareness of mental health and to work toward removing the stigma attached to poor mental health and help-seeking. They are advocating student mental health as a priority, embedded across all university activities. Students must feel they are supported throughout their university tenure in a holistic way, including having greater, more transparent information about and access to mental health services, including therapy. A collaborative approach between the academic and student well-being units of universities is crucial to expanding and improving services to meet the growing need and to help ensure the mental health of students. We wanted to contribute to this transformation, to promote access to mental health services, and to improve the perception of help-seeking. Students at Cambridge cofounded the Cambridge Students for Mental Health Society and held workshops on destigmatization, during which students learned about using poetry as an outlet to express powerful yet abstract emotions and feelings. We authored “Medical School: A Mental Battle” during one of the society-organized workshops to provide insight into mental health issues from the perspective of a first-year medical student—drawing both on our own and on others’ experiences during this turbulent period. For us, the process of writing was therapeutic and cathartic; it has allowed us to communicate the feelings we have either faced or witnessed and enabled us to develop potential solutions. Students in the society realize they are not alone. Poetry workshops not only give members a sense of belonging and acceptance but also allow the unburdening of shared struggles. The society welcomes members at different stages, and providing a forum for people who are coping with and openly expressing their mental health issues gives hope to those at the beginning of the process.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,056
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,069
Score d'incertitude au seuil0,052

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,056
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0020,001
Études des sciences et des technologies0,0070,009
Communication savante0,0050,010
Science ouverte0,0080,004
Intégrité de la recherche0,0690,084
Charge utile insuffisante (le modèle a refusé de juger)0,0150,011

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 Opus0,053
Tête enseignante GPT0,415
Écart entre enseignants0,361 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAcademic Medicine→Même sujetMental Health Treatment and Access→Travaux en français237 207→