NightShift Simulation to Train Newly Qualified Doctors in Non-technical Skills: A Feasibility Study

Michael Brown; James Pinchin; Reena Valand; Christopher Larkin; Joanne Pattinson; Kelly Benning; Gemma Housley; Jim Hatton; Dominick Shaw; Paul Syrysko; Sarah Sharples; John Blakey

doi:10.7861/futurehosp.3-2-94

NightShift Simulation to Train Newly Qualified Doctors in Non-technical Skills: A Feasibility Study

Michael Brown
, James Pinchin
, Reena Valand
, Christopher Larkin
, Joanne Pattinson
, Kelly Benning
, Gemma Housley
, Jim Hatton
, Dominick Shaw
, Paul Syrysko
, Sarah Sharples
, John Blakey

Clinical Sciences

Liverpool School of Tropical Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

Background:

There is greater morbidity and mortality in hospitals at night, especially when newly qualified doctors commence work.

Aim:

To trialled an online simulation of a night shift to improve non-technical skills and clinical outcomes.

Design:

Randomised feasibility trial of an electronic training simulation.

Methods:

Medical students at the end of their training followed into initial weeks of working (n=30) at a large teaching hospital.

Results:

Participants in the intervention group completed their non-urgent tasks more rapidly than the control group though there was a broad range of completion times: mean (SD) time to complete a non-urgent task of 85.1 (50.1) versus 157.6 (90.4) minutes, p=0.027. This difference persisted using linear regression analysis were undertaken using rota and task volume as independent cofactors (p=0.028).

Conclusions:

This study shows the potential to leverage data routinely collected from newer technologies to develop on-line simulations.

Original language	English
Pages (from-to)	94-98
Journal	Future Hospital Journal
DOIs	https://doi.org/10.7861/futurehosp.3-2-94
Publication status	Published - 1 Jun 2016

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title = "NightShift Simulation to Train Newly Qualified Doctors in Non-technical Skills: A Feasibility Study",

abstract = "Background: There is greater morbidity and mortality in hospitals at night, especially when newly qualified doctors commence work.Aim: To trialled an online simulation of a night shift to improve non-technical skills and clinical outcomes.Design: Randomised feasibility trial of an electronic training simulation.Methods: Medical students at the end of their training followed into initial weeks of working (n=30) at a large teaching hospital. Results: Participants in the intervention group completed their non-urgent tasks more rapidly than the control group though there was a broad range of completion times: mean (SD) time to complete a non-urgent task of 85.1 (50.1) versus 157.6 (90.4) minutes, p=0.027. This difference persisted using linear regression analysis were undertaken using rota and task volume as independent cofactors (p=0.028).Conclusions: This study shows the potential to leverage data routinely collected from newer technologies to develop on-line simulations.",

author = "Michael Brown and James Pinchin and Reena Valand and Christopher Larkin and Joanne Pattinson and Kelly Benning and Gemma Housley and Jim Hatton and Dominick Shaw and Paul Syrysko and Sarah Sharples and John Blakey",

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AU - Brown, Michael

AU - Pinchin, James

AU - Valand, Reena

AU - Larkin, Christopher

AU - Pattinson, Joanne

AU - Benning, Kelly

AU - Housley, Gemma

AU - Hatton, Jim

AU - Shaw, Dominick

AU - Syrysko, Paul

AU - Sharples, Sarah

AU - Blakey, John

PY - 2016/6/1

Y1 - 2016/6/1

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AB - Background: There is greater morbidity and mortality in hospitals at night, especially when newly qualified doctors commence work.Aim: To trialled an online simulation of a night shift to improve non-technical skills and clinical outcomes.Design: Randomised feasibility trial of an electronic training simulation.Methods: Medical students at the end of their training followed into initial weeks of working (n=30) at a large teaching hospital. Results: Participants in the intervention group completed their non-urgent tasks more rapidly than the control group though there was a broad range of completion times: mean (SD) time to complete a non-urgent task of 85.1 (50.1) versus 157.6 (90.4) minutes, p=0.027. This difference persisted using linear regression analysis were undertaken using rota and task volume as independent cofactors (p=0.028).Conclusions: This study shows the potential to leverage data routinely collected from newer technologies to develop on-line simulations.

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JO - Future Hospital Journal

JF - Future Hospital Journal

ER -

NightShift Simulation to Train Newly Qualified Doctors in Non-technical Skills: A Feasibility Study

Abstract

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