scholarly journals Implementation, participation and satisfaction rates of a web-based decision support tool for patients with metastatic colorectal cancer

2017 ◽  
Vol 28 ◽  
pp. v201-v202 ◽  
Author(s):  
L. Keikes ◽  
R. The ◽  
K. Karssen ◽  
A. Mels ◽  
J. De Vos-geelen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Decision Support ◽  
Metastatic Colorectal Cancer ◽  
Decision Support Tool ◽  
Web Based ◽  
Support Tool ◽  
Satisfaction Rates

Implementation, participation and satisfaction rates of a web-based decision support tool for patients with metastatic colorectal cancer

2019 ◽  
Vol 102 (7) ◽  
pp. 1331-1335
Author(s):  
Lotte Keikes ◽  
Judith de Vos-Geelen ◽  
Jan Willem B. de Groot ◽  
Cornelis J.A. Punt ◽  
Lieke H.J. Simkens ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Decision Support ◽  
Metastatic Colorectal Cancer ◽  
Decision Support Tool ◽  
Web Based ◽  
Support Tool ◽  
Satisfaction Rates

scholarly journals ONCOGRAM: study protocol for the evaluation of therapeutic response and survival of metastatic colorectal cancer patients treated according to the guidelines of a chemosensitivity assay, the Oncogramme®

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Muriel Mathonnet ◽  
Mathieu Vanderstraete ◽  
Christophe Bounaix Morand du Puch ◽  
Stéphanie Giraud ◽  
Christophe Lautrette ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Decision Support ◽  
Metastatic Colorectal Cancer ◽  
Survival Rates ◽  
Prospective Trial ◽  
Progression Free Survival ◽  
Decision Support Tool ◽  
Chemosensitivity Assay ◽  
Free Survival ◽  
Support Tool

Abstract Background Colorectal cancer is a major public concern, being the second deadliest cancer in the world. Whereas survival is high for localized forms, metastatic colorectal cancer has showed poor prognosis, with a 5-year survival barely surpassing 11%. Conventional chemotherapies against this disease proved their efficiency and remain essential in first-line treatment. However, the large number of authorized protocols complexifies treatment decision. In common practice, such decision is made on an empirical basis, by assessing benefits and risks for the patient. In other words, there is currently no efficient means of predicting the efficacy of any chemotherapy protocol for metastatic colorectal cancer. Methods/design The use of a chemosensitivity assay, the Oncogramme®, should help clinicians administer the best chemotherapy regimen to their patients. We hypothesize it would ultimately improve their survival. In this multicentred, prospective trial (ONCOGRAM), eligible patients with metastatic colorectal cancer are randomized to determine whether they will receive an Oncogramme®. For clinicians whose patients benefited from the assay (arm A), results are used as a decision support tool. Patients not undergoing the Oncogramme® procedure are treated according to current practice, without the assistance of the assay (arm B). Primary outcome is 1-year progression-free survival. Secondary outcomes include response rates, as well as 6-month and 1-year survival rates. Discussion This study aims at investigating the clinical utility of the Oncogramme® as a decision support tool for the treatment of patients with metastatic colorectal cancer. If the Oncogramme® positively influenced patient overall survival and/or progression-free survival, it would be of great value for clinicians to implement this assay within the current landscape of personalized medicine tools, which include genomics and biomarker assays. Trial registration ClinicalTrials.gov identifier NCT03133273. Registered on April 28, 2017.

scholarly journals Challenges involved in establishing a web-based clinical decision support tool in community health centers

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 100488
Author(s):  
Rachel Gold ◽  
Mary Middendorf ◽  
John Heintzman ◽  
Joan Nelson ◽  
Patrick O'Connor ◽  
...  
Keyword(s):  
Decision Support ◽  
Community Health ◽  
Clinical Decision Support ◽  
Community Health Centers ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Health Centers ◽  
Web Based ◽  
Support Tool ◽  
Clinical Decision Support Tool

scholarly journals A web-based decision support tool for groundwater remediation technologies selection

2006 ◽  
Vol 8 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Olfa Khelifi ◽  
Andrea Lodolo ◽  
Sanja Vranes ◽  
Gabriele Centi ◽  
Stanislav Miertus
Keyword(s):  
Decision Support ◽  
Groundwater Remediation ◽  
Local Community ◽  
Decision Support Tool ◽  
Decision Makers ◽  
Relative Importance ◽  
Problem Complexity ◽  
Web Based ◽  
Support Tool ◽  
Promethee Ii

Groundwater remediation operation involves several considerations in terms of environmental, technological and socio-economic aspects. A decision support tool (DST) becomes therefore necessary in order to manage problem complexity and to define effective groundwater remediation interventions. CCR (Credence Clearwater Revival), a decision support tool for groundwater remediation technologies assessment and selection, has been developed to help decision-makers (site owners, investors, local community representatives, environmentalists, regulators, etc.) to assess the available technologies and select the preferred remedial options. The analysis is based on technical, economical, environmental and social criteria. These criteria are ranked by all involved parties to determine their relative importance for a particular groundwater remediation project. The Multi-Criteria Decision Making (MCDM) is the core of the CCR using the PROMETHEE II algorithm.

A Web-based GIS Decision Support Tool for Determining Corn Aflatoxin Risk: A Case Study Data from Southern Georgia, USA

2017 ◽  
Vol 8 (2) ◽  
pp. 718-723 ◽  
Author(s):  
F. Navarro ◽  
B. Ingram ◽  
R. Kerry ◽  
B. V. Ortiz ◽  
B. T. Scully
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Study Data ◽  
Corn Production ◽  
Web Based ◽  
Support Tool ◽  
Risk Areas ◽  
Southern Georgia ◽  
Case Study Data

Aflatoxin is a fungal toxin contaminating corn and causing liver cancer in humans and animals. Contamination is driven by high temperatures and drought. Aflatoxin assessment is expensive so extension services need to identify high risk areas so irrigation, planting strategies and corn varieties can be adapted. This research presents a web-based decision support tool for risk illustrated with a case study from southern Georgia. The tool employs the approach, developed by Kerry et al. (2017b) where exceedance of key thresholds in temperatures, rainfall, soil type and corn production are used to determine risk. The tool also includes NDVI to indicate drought stress and could be further expanded to include new risk factors and adapted to other crops.

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