Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer
Abstract 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 f...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-09-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12911-020-01232-9 |
| _version_ | 1818174571010850816 |
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| author | David Moriña José Ignacio Martí Pedro Puig Mireia Diaz |
| author_facet | David Moriña José Ignacio Martí Pedro Puig Mireia Diaz |
| author_sort | David Moriña |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-11T19:46:31Z |
| format | Article |
| id | doaj.art-b26efcebff094f6db4124abce839e82d |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-11T19:46:31Z |
| publishDate | 2020-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-b26efcebff094f6db4124abce839e82d2022-12-22T00:52:53ZengBMCBMC Medical Informatics and Decision Making1472-69472020-09-012011710.1186/s12911-020-01232-9Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancerDavid Moriña0José Ignacio Martí1Pedro Puig2Mireia Diaz3Barcelona Graduate School of Mathematics (BGSMath)Unit of Infections and Cancer - Information and Interventions (UNIC-I&I), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELLBarcelona Graduate School of Mathematics (BGSMath)Unit of Infections and Cancer - Information and Interventions (UNIC-I&I), Cancer Epidemiology Research Program (CERP), Catalan Institute of Oncology (ICO)-IDIBELLAbstract 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.http://link.springer.com/article/10.1186/s12911-020-01232-9Cervical cancer screeningMarkov chain modelCost-effectivenessOnline toolcancer preventionDecision making |
| spellingShingle | David Moriña José Ignacio Martí Pedro Puig Mireia Diaz Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer BMC Medical Informatics and Decision Making Cervical cancer screening Markov chain model Cost-effectiveness Online tool cancer prevention Decision making |
| title | Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer |
| title_full | Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer |
| title_fullStr | Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer |
| title_full_unstemmed | Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer |
| title_short | Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer |
| title_sort | online cost effectiveness analysis ocean a user friendly interface to conduct cost effectiveness analyses for cervical cancer |
| topic | Cervical cancer screening Markov chain model Cost-effectiveness Online tool cancer prevention Decision making |
| url | http://link.springer.com/article/10.1186/s12911-020-01232-9 |
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