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PHIRI - WP6 - Use Case B outputs from the local analyses (interactive reports)

Authors: Enrique Bernal-Delgado; Francisco Estupiñán-Romero; Javier González-Galindo; Natalia Martínez-Lizaga; Pascal Derycke; Nienke Schutte; Liesbet Van Eycken; +11 Authors

PHIRI - WP6 - Use Case B outputs from the local analyses (interactive reports)

Abstract

The PHIRI Federated Research Infrastructure (FRI) is supported by a containerized reproducible solution for data analysis (i.e. use cases) to be deployed on-premises by each participant partner (a.k.a PHIRI-app) to generate a set of local results (outputs) to be further analysed and interpreted generating relevant insight for health policy. This use case will seek to elicit whether there has been an increase in time to treatment in women diagnosed with breast cancer in the month previous to the lockdown measures, as compared with the woman diagnosed with breast cancer before that period and whether the distribution of this delay could be influenced by the healthcare reorganisation measures due to the COVID pandemic. Health Systems across Europe had to reorganise healthcare services reallocating resources towards providing complex assistance to COVID-19 patients. COVID-19 surge of cases during the different epidemic waves requiring intensive care has led countries to cancel or postpone non-urgent care (i.e. elective surgery). The present outputs correspond to the analyses of four nodes that completed the deployment of the analytical pipeline in their premises (Belgium (BE), Wales (UK), Marche (IT), and Aragon (ES)). Others are still ongoing; so, Latvia is reviewing some errors in their dataset; in turn, Croatia, Estonia and Slovenia showed availability for the deployment of the use case. The outputs from the local analyses in those countries include: - Interactive joint report of the trends in diagnosis and delayed treatment for breast cancer (HTLM) - Compilation of the local reports for each country (ZIP file containing HTML documents) - Compilation of the Data Quality Analysis reports for the original data in each country (ZIP file containing HTML documents)

{"references": ["Enrique Bernal-Delgado, & Marc Van den Bulcke. (2022). PHIRI - WP6 - Use Case B Common Data Model (2.0.0). Zenodo. https://doi.org/10.5281/zenodo.6357891", "Francisco Estupi\u00f1\u00e1n-Romero, Javier Gonz\u00e1lez-Galindo, Natalia Mart\u00ednez-Lizaga, & Enrique Bernal-Delgado. (2022). PHIRI - WP6 - Use Case B scripts for local analyses (R Markdown) (4.0.0). Zenodo. https://doi.org/10.5281/zenodo.6359893", "Javier Gonz\u00e1lez-Galindo, Francisco Estupi\u00f1\u00e1n-Romero, David Chichell-Ru\u00edz, Juan Gonz\u00e1lez-Garc\u00eda, Carlos Teller\u00eda-Orriols, & Enrique Bernal-Delgado. (2022). PHIRI APP - WP7 - PHIRI Federated Research Infrastructure (FRI) - D7.1 Small-scale prototype of PHIRI federated infrastructure (2.2.2). Zenodo. https://doi.org/10.5281/zenodo.6483177"]}

Note: All HTML documents are auto-contained and can be downloaded and opened using a regular web browser. Caution: The results of the current outputs reporting observations from the local analyses should be interpreted within the context of the purposes of Use Case B and the PHIRI project.

Keywords

breast cancer, time to treatment, COVID-19 pandemic, COVID-19, https://browser.ihtsdotools.org/?perspective=full&conceptId1=254837009&edition=MAIN/2022-05-31&release=&languages=en, health system performance, delayed care, healthcare organization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Cancer Research