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Predictors of Treatment Decisions in Multidisciplinary Oncology Meetings: A Quantitative Observational Study

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Title: Predictors of Treatment Decisions in Multidisciplinary Oncology Meetings: A Quantitative Observational Study
Authors: Soukup, T
Lamb, BW
Sarkar, S
Arora, S
Shah, S
Darzi, A
Green, JS
Sevdalis, N
Item Type: Journal Article
Abstract: BACKGROUND: In many healthcare systems, treatment recommendations for cancer patients are formulated by multidisciplinary tumor boards (MTBs). Evidence suggests that interdisciplinary contributions to case reviews in the meetings are unequal and information-sharing suboptimal, with biomedical information dominating over information on patient comorbidities and psychosocial factors. This study aimed to evaluate how different elements of the decision process affect the teams' ability to reach a decision on first case review. METHODS: This was an observational quantitative assessment of 1045 case reviews from 2010 to 2014 in cancer MTBs using a validated tool, the Metric for the Observation of Decision-making. This tool allows evaluation of the quality of information presentation (case history, radiological, pathological, and psychosocial information, comorbidities, and patient views), and contribution to discussion by individual core specialties (surgeons, oncologists, radiologists, pathologists, and specialist cancer nurses). The teams' ability to reach a decision was a dichotomous outcome variable (yes/no). RESULTS: Using multiple logistic regression analysis, the significant positive predictors of the teams' ability to reach a decision were patient psychosocial information (odds ratio [OR] 1.35) and the inputs of surgeons (OR 1.62), radiologists (OR 1.48), pathologists (OR 1.23), and oncologists (OR 1.13). The significant negative predictors were patient comorbidity information (OR 0.83) and nursing inputs (OR 0.87). CONCLUSIONS: Multidisciplinary inputs into case reviews and patient psychosocial information stimulate decision making, thereby reinforcing the role of MTBs in cancer care in processing such information. Information on patients' comorbidities, as well as nursing inputs, make decision making harder, possibly indicating that a case is complex and requires more detailed review. Research should further define case complexity and determine ways to better integrate patient psychosocial information into decision making.
Issue Date: 5-Jul-2016
Date of Acceptance: 7-Jun-2016
URI: http://hdl.handle.net/10044/1/34903
DOI: https://dx.doi.org/10.1245/s10434-016-5347-4
ISSN: 1534-4681
Publisher: Springer Verlag
Start Page: 4410
End Page: 4417
Journal / Book Title: Annals of Surgical Oncology
Volume: 23
Issue: 13
Copyright Statement: © Society of Surgical Oncology 2016. The final publication is available at Springer via http://dx.doi.org/10.1245/s10434-016-5347-4.
Sponsor/Funder: Imperial College Healthcare NHS Trust
National Institute for Health Research (NIHR)
Funder's Grant Number: RDPSC 79560
RDPSC 79560
Keywords: Oncology & Carcinogenesis
1112 Oncology And Carcinogenesis
Publication Status: Published
Appears in Collections:Department of Surgery and Cancer
Institute of Global Health Innovation