Cargando…

Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback

INTRODUCTION: We will present experience developing a system for monitoring training placements in psychiatry and community paediatrics, and how this was expanded to provide an automated anonymised MSF for trainers for annual appraisal and will identify trainers in need of additional support and oth...

Descripción completa

Detalles Bibliográficos
Autores principales: Mudunkotuwe, J., Schmidt, M., Khan, A., Sahlsberg, T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567376/
http://dx.doi.org/10.1192/j.eurpsy.2022.2199
_version_ 1784809383759183872
author Mudunkotuwe, J.
Schmidt, M.
Khan, A.
Sahlsberg, T.
author_facet Mudunkotuwe, J.
Schmidt, M.
Khan, A.
Sahlsberg, T.
author_sort Mudunkotuwe, J.
collection PubMed
description INTRODUCTION: We will present experience developing a system for monitoring training placements in psychiatry and community paediatrics, and how this was expanded to provide an automated anonymised MSF for trainers for annual appraisal and will identify trainers in need of additional support and other post/training programme issues. The session will be of interest to educators and medical education leads with practical tips and lessons learnt over the last 8 years since the system was first developed. OBJECTIVES: The system was also used to identify trainers in need of additional support and other post/training programme issues. METHODS: We used an electronic system to gain the infromation as stated in the introduction. RESULTS: Over the last 8 years we have collected data using this system. the results for our trust will be displayed annoymously but the system is the ficus of this presenation. CONCLUSIONS: The advantages of the system are that it runs throughout the year (so covers each post and placement), has high trainee response rates, has no selection bias (compared with some other MSF systems) and the results are embedded within local quality systems and individual consultant appraisals. The data that the system collects can help provide robust evidence when investigating concerns that might only arise periodically (for example through the annual GMC trainee survey in the UK). We believe that this system will be applicable for doctors providing training in other countries and empowers the improvement of psychiatric training for the profession. DISCLOSURE: No significant relationships.
format Online
Article
Text
id pubmed-9567376
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Cambridge University Press
record_format MEDLINE/PubMed
spelling pubmed-95673762022-10-17 Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback Mudunkotuwe, J. Schmidt, M. Khan, A. Sahlsberg, T. Eur Psychiatry Abstract INTRODUCTION: We will present experience developing a system for monitoring training placements in psychiatry and community paediatrics, and how this was expanded to provide an automated anonymised MSF for trainers for annual appraisal and will identify trainers in need of additional support and other post/training programme issues. The session will be of interest to educators and medical education leads with practical tips and lessons learnt over the last 8 years since the system was first developed. OBJECTIVES: The system was also used to identify trainers in need of additional support and other post/training programme issues. METHODS: We used an electronic system to gain the infromation as stated in the introduction. RESULTS: Over the last 8 years we have collected data using this system. the results for our trust will be displayed annoymously but the system is the ficus of this presenation. CONCLUSIONS: The advantages of the system are that it runs throughout the year (so covers each post and placement), has high trainee response rates, has no selection bias (compared with some other MSF systems) and the results are embedded within local quality systems and individual consultant appraisals. The data that the system collects can help provide robust evidence when investigating concerns that might only arise periodically (for example through the annual GMC trainee survey in the UK). We believe that this system will be applicable for doctors providing training in other countries and empowers the improvement of psychiatric training for the profession. DISCLOSURE: No significant relationships. Cambridge University Press 2022-09-01 /pmc/articles/PMC9567376/ http://dx.doi.org/10.1192/j.eurpsy.2022.2199 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Mudunkotuwe, J.
Schmidt, M.
Khan, A.
Sahlsberg, T.
Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback
title Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback
title_full Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback
title_fullStr Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback
title_full_unstemmed Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback
title_short Taking back control of the Data. Developing an all in one System to monitor training post quality and provide trainer feedback
title_sort taking back control of the data. developing an all in one system to monitor training post quality and provide trainer feedback
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9567376/
http://dx.doi.org/10.1192/j.eurpsy.2022.2199
work_keys_str_mv AT mudunkotuwej takingbackcontrolofthedatadevelopinganallinonesystemtomonitortrainingpostqualityandprovidetrainerfeedback
AT schmidtm takingbackcontrolofthedatadevelopinganallinonesystemtomonitortrainingpostqualityandprovidetrainerfeedback
AT khana takingbackcontrolofthedatadevelopinganallinonesystemtomonitortrainingpostqualityandprovidetrainerfeedback
AT sahlsbergt takingbackcontrolofthedatadevelopinganallinonesystemtomonitortrainingpostqualityandprovidetrainerfeedback