SP1.2.4 A pilot study: Developing bespoke high volume low complexity (HVLC) theatre lists with a focus on training, in order to address the impact of COVID-19 on training and elective waiting lists

Autor: Tarak Agrebi Moumni Chouari, Sarah Zhao, Georges Rizkallah, Narisu Yang, Stella Vig, Nikheel Patel, Akriti Nanda
Rok vydání: 2022
Předmět:
Zdroj: British Journal of Surgery. 109
ISSN: 1365-2168
0007-1323
DOI: 10.1093/bjs/znac247.008
Popis: Introduction We are faced with long waiting lists coupled with a loss of training opportunities for surgical trainees as a result of COVID-19. It is imperative to ensure training opportunities are optimised and trainees are encouraged to contribute to the service recovery efforts we are faced with. Methods A pilot ‘the hernia fest’ was undertaken with the aim of training core trainees, supporting senior trainees as independent practitioners coupled with supporting the delivery of high volume, low complexity (HVLC) care. Parallel bespoke theatre lists with the grouping of specific cases (hernias), have been run with a consultant surgeon overseeing 2–3 lists. Each list includes a selected senior trainee who is suitable to train colleagues. Cases were screened prior to booking. All theatre staff were briefed on the purpose of the lists. All patients, trainees and theatre staff completed a questionnaire. Results 50 hernia training cases were carried out over 15 sessions. 100% of patients were confident with their treatment and would recommend the service. 100% of trainees felt they had progressed in their operative competence and skill acquisition. 100% of trainees were satisfied. Senior trainees enjoyed the responsibility of running an independent list. 100% of theatre staff felt they would participate in future lists. Conclusion This model cultivates a learning environment whilst addressing waiting lists. The grouping of operations together allows for repetitive practice and may encourage rapid skill acquisition. We discuss lessons learnt and a proposed framework & checklist which can be applied to the future planning of such lists.
Databáze: OpenAIRE
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