Imperial College London
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Dr Tayana Soukup PhD CPsychol FRSPH

Faculty of Medicine, Department of Surgery & Cancer

Research Fellow in Human Factors - Artificial Intelligence
 
 
 
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Contact

 

t.soukup

 
 
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Location

 

508Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lamb:2020:osf.io/75gh4,
author = {Lamb, BW and Miah, S and Stewart, GD and Skolarus, TA and Green, JSA and Sevdalis, N and Soukup, T},
doi = {osf.io/75gh4},
title = {Development and validation of a short version of the Metric for the Observation of Decision-making in multidisciplinary tumor boards: MODe-Lite},
url = {http://dx.doi.org/10.31234/osf.io/75gh4},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <p>Background: Evidence-based tools are necessary for scientifically improving the way cancer multidisciplinary tumor boards (MTBs) work. Such tools are available but can be difficult to use. We sought to develop a robust observational assessment tool for use by healthcare professionals to improve how MTBs work in everyday practice.Participants and methods: We conducted a retrospective cross-sectional observational study in the United Kingdom between September 2015 and July 2016. Three tumor boards from three teaching hospitals were recruited with 44 members overall. Six weekly meetings (146 consecutive cases) were video recorded and scored using the validated MODe tool. Data were subjected to reliability and validity analysis in the current study for the purposes of developing a shorter version of MODe.Results: In phase 1, a reduction in the original items of MODe was achieved through two focus group meetings with expert assessors based on previous research. Twelve original items were reduced to six domains and have received full agreement by the assessors. In Phase 2, the six domains were subjected to item reliability, convergent validation, and internal consistency testing against MODe-Lite global score, MODe global score, and the individual items of MODe. Significant positive correlations were evidenced across the six domains (p&lt;0.01), providing indication of good reliability and validity. In phase 3, feasibility and high inter-assessor reliability in the use of the tool by two clinical assessors was achieved. A final set of 6 domains, measuring clinical input, holistic input, clinical collaboration, pathology, radiology and management plan were integrated into MODe-Lite.Conclusions: MODe-Lite is an evidence-based tool that can be used by healthcare professionals in everyday practice. It can give cancer MTBs insight into the way they work to facilitate improvements in practice.</p>
AU  - Lamb,BW
AU  - Miah,S
AU  - Stewart,GD
AU  - Skolarus,TA
AU  - Green,JSA
AU  - Sevdalis,N
AU  - Soukup,T
DO  - osf.io/75gh4
PY  - 2020///
TI  - Development and validation of a short version of the Metric for the Observation of Decision-making in multidisciplinary tumor boards: MODe-Lite
UR  - http://dx.doi.org/10.31234/osf.io/75gh4
ER  -
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