6609 Penny-wise and pound-foolish? Car park tax & morale
Notice bibliographique
Résumé
Objectives Background As per the 2023 National Trainees survey, over two-thirds of trainees said they always or often feel worn out at the end of the working day. Objective We tried to understand the factors that may influence the morale of trainees in the Paediatric department. Methods An anonymous survey was designed with input from key stakeholders of our organization for the current batch of trainees (March-August’2023) working in the Paediatric department. Results Respondents Profile Eighty percent (17/21) of trainees responded to the survey. Eighty percent of respondents were in acute and the rest were in community settings. Induction issues One-fifth of respondents reported that their login details were inactive when they commenced their work. Rota issues A quarter of the respondents said that they received rota less than two weeks prior to commencing their work causing some practical difficulties. Parking issues Fifty percent of the respondents were paying for car parking using salary sacrifice (many trainees did not have this option, as they were not directly employed by the Trust but by the deanery). Supervision About forty percent of respondents reported that they feel supported to undertake SLEs during social hours whilst at work. Well-being Only one-fifth of the trainees said they have an adequate resting facility on a night shift. Forty-five percent said they were able to take breaks as per EWTD. Suggestions for improvement Some of the suggestions are introducing an electronic format for Rota and leave applications, improving rest facilities during long/night shifts, a free car park and more support/time to undertake supervised learning events during working hours. Providing more exposure to clinics, management meetings & streamlining handovers Conclusion NHS is experiencing an unprecedented risk of burnout among doctors and other staff. Authors feel that organisations need to focus on the bigger picture. A few changes like introducing free car parks, comfortable places to rest while on long/night shifts, and providing snacks and drinks during break times can make a massive difference to the morale of our workforce and ultimately positively impact patient care. References https://www.gmc-uk.org/-/media/documents/national-training-survey-2023-initial-findings-report_pdf-101939815.pdf https://www.hee.nhs.uk/sites/default/files/documents/Junior%20Doctors’%20Morale%20-%20understanding%20best%20practice%20working%20environments_0.pdf https://www.bma.org.uk/news-and-opinion/penalty-charge
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,347 | 0,084 |
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 ».