Literature DB >> 25362865

UceWeb: a web-based collaborative tool for collecting and sharing quality of life data.

E Parimbelli1, L Sacchi, S Rubrichi, A Mazzanti, S Quaglini.   

Abstract

OBJECTIVES: This work aims at building a platform where quality-of-life data, namely utility coefficients, can be elicited not only for immediate use, but also systematically stored together with patient profiles to build a public repository to be further exploited in studies on specific target populations (e.g. cost/utility analyses).
METHODS: We capitalized on utility theory and previous experience to define a set of desirable features such a tool should show to facilitate sound elicitation of quality of life. A set of visualization tools and algorithms has been developed to this purpose. To make it easily accessible for potential users, the software has been designed as a web application. A pilot validation study has been performed on 20 atrial fibrillation patients.
RESULTS: A collaborative platform, UceWeb, has been developed and tested. It implements the standard gamble, time trade-off and rating-scale utility elicitation methods. It allows doctors and patients to choose the mode of interaction to maximize patients’ comfort in answering difficult questions. Every utility elicitation may contribute to the growth of the repository.
CONCLUSION: UceWeb can become a unique source of data allowing researchers both to perform more reliable comparisons among healthcare interventions and build statistical models to gain deeper insight into quality of life data.

Entities:  

Keywords:  Utility elicitation; collaborative platform; quality of life; repository; web-application

Mesh:

Year:  2014        PMID: 25362865     DOI: 10.3414/ME14-01-0021

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  2 in total

1.  Shared Decision-Making Ontology for a Healthcare Team Executing a Workflow, an Instantiation for Metastatic Spinal Cord Compression Management.

Authors:  Enea Parimbelli; Szymon Wilk; Stephen Kingwell; Pavel Andreev; Wojtek Michalowski
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  Computer-Assessed Preference-Based Quality of Life in Patients with Spinal Cord Injury.

Authors:  Enea Parimbelli; Caterina Pistarini; Gabriella Fizzotti; Carla Rognoni; Giampiero Olivieri; Silvana Quaglini
Journal:  Biomed Res Int       Date:  2017-08-30       Impact factor: 3.411

  2 in total

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