Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer.

Tytuł:: Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer.
Autorzy:: Moriña D; Barcelona Graduate School of Mathematics (BGSMath), Barcelona, Spain. .; Departament de Matemàtiques, Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, 08193, Barcelona, Spain. .; Department of Econometrics, Statistics and Applied Economics, Riskcenter-IREA, Universitat de Barcelona (UB), Barcelona, Spain. .
Martí JI; Unit of Infections and Cancer - Information and Interventions (UNIC-I&I), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.
Puig P; Barcelona Graduate School of Mathematics (BGSMath), Barcelona, Spain.; Departament de Matemàtiques, Universitat Autònoma de Barcelona (UAB), Cerdanyola del Vallès, 08193, Barcelona, Spain.
Diaz M; Unit of Infections and Cancer - Information and Interventions (UNIC-I&I), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELL, Barcelona, Spain.; Centro de Investigación Biomédica en Red (CIBERONC), Barcelona, Spain.
Źródło:: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2020 Sep 04; Vol. 20 (1), pp. 211. Date of Electronic Publication: 2020 Sep 04.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Original Publication: London : BioMed Central, [2001-
MeSH Terms:: Decision Support Techniques*
Models, Theoretical*
Mass Screening/*methods
Papillomavirus Infections/*economics
Uterine Cervical Neoplasms/*diagnosis
Uterine Cervical Neoplasms/*economics
Cost-Benefit Analysis ; Female ; Human papillomavirus 16 ; Human papillomavirus 18 ; Humans ; Mass Screening/economics ; Papillomavirus Infections/diagnosis ; Papillomavirus Infections/prevention & control ; Uterine Cervical Neoplasms/prevention & control ; Vaginal Smears/economics ; Vaginal Smears/methods
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Grant Information:: MDM-2014-0445 International Fundación Banco Santander; MDM-2014-0445 International Ministerio de Economía y Competitividad; 2015ACUP00129 International "la Caixa" Foundation (ES); PI14/01219 International Instituto de Salud Carlos III; RD12/0036/0056 International Instituto de Salud Carlos III; PIE16/00049 International Instituto de Salud Carlos III; PI11/02090 International Instituto de Salud Carlos III; PI16/01254 International Instituto de Salud Carlos III; PI16/01254 (CECO: 17FIS012) International Instituto de Salud Carlos III; 2017SGR1718 International Agència de Gestió d'Ajuts Universitaris i de Recerca; Health- F3-2013-603019 International Seventh Framework Programme; RTI2018-096072-B-I00 International Ministerio de Ciencia, Innovación y Universidades
Contributed Indexing:: Keywords: Cervical cancer screening; Cost-effectiveness; Decision making; Markov chain model; Online tool; cancer prevention
Entry Date(s):: Date Created: 20200905 Date Completed: 20201123 Latest Revision: 20201123
Update Code:: 20240104
PubMed Central ID:: PMC7487926
DOI:: 10.1186/s12911-020-01232-9
PMID:: 32887589
: Czasopismo naukowe

Pełny tekst

Background: Most cost-effectiveness analyses in the context of cervical cancer prevention involve the use of mathematical models to simulate HPV infection, cervical disease and prevention strategies. However, it is common for professionals who would need to perform these analyses to not be familiar with the models. This work introduces the Online Cost-Effectiveness ANalysis tool, featuring an easy-to-use web interface providing health professionals, researchers and decision makers involved in cervical cancer prevention programmes with a useful instrument to conduct complex cost-effectiveness analyses, which are becoming an essential tool as an approach for supporting decision-making that involves important trade-offs.
Results: The users can run cost-effectiveness evaluations of cervical cancer prevention strategies without deep knowledge of the underlying mathematical model or any programming language, obtaining the most relevant costs and health outcomes in a user-friendly format. The results provided by the tool are consistent with the existing literature.
Conclusions: Having such a tool will be an asset to the cervical cancer prevention community, providing researchers with an easy-to-use instrument to conduct cost-effectiveness analyses.

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