Cargando…

Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis

BACKGROUND: Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Acute rhinosinusitis (ARS) is mostly, apart from allergic etiology, caused by a viral infection and, in some cases (30–50%), by a bacterial superinfection. Antibiotics, indicated...

Descripción completa

Detalles Bibliográficos
Autores principales: Hart, L., Polášková, A., Schalek, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350307/
https://www.ncbi.nlm.nih.gov/pubmed/34372852
http://dx.doi.org/10.1186/s12911-021-01599-3
_version_ 1783735731496157184
author Hart, L.
Polášková, A.
Schalek, P.
author_facet Hart, L.
Polášková, A.
Schalek, P.
author_sort Hart, L.
collection PubMed
description BACKGROUND: Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Acute rhinosinusitis (ARS) is mostly, apart from allergic etiology, caused by a viral infection and, in some cases (30–50%), by a bacterial superinfection. Antibiotics, indicated only in rare cases according to EPOS guidelines, are nevertheless prescribed in more than 80% of ARS cases, which increases the resistant bacterial strains in the population. METHODS: We have designed a clinical decision support system (CDSS), RHINA, based on a web application created in HTML 5, using JavaScript, jQuery, CCS3 and PHP scripting language. The presented CDSS RHINA helps general physicians to decide whether or not to prescribe antibiotics in patients with rhinosinusitis. RESULTS: In a retrospective study of a total of 1465 patients with rhinosinusitis, the CDSS RHINA presented a 90.2% consistency with the diagnosis and treatment made by the ENT specialist. CONCLUSION: Patients assessed with the assistance of our CDSS RHINA would decrease the over-prescription of antibiotics, which in turn would help to reduce the bacterial resistance to the most commonly prescribed antibiotics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01599-3.
format Online
Article
Text
id pubmed-8350307
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83503072021-08-09 Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis Hart, L. Polášková, A. Schalek, P. BMC Med Inform Decis Mak Software BACKGROUND: Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Acute rhinosinusitis (ARS) is mostly, apart from allergic etiology, caused by a viral infection and, in some cases (30–50%), by a bacterial superinfection. Antibiotics, indicated only in rare cases according to EPOS guidelines, are nevertheless prescribed in more than 80% of ARS cases, which increases the resistant bacterial strains in the population. METHODS: We have designed a clinical decision support system (CDSS), RHINA, based on a web application created in HTML 5, using JavaScript, jQuery, CCS3 and PHP scripting language. The presented CDSS RHINA helps general physicians to decide whether or not to prescribe antibiotics in patients with rhinosinusitis. RESULTS: In a retrospective study of a total of 1465 patients with rhinosinusitis, the CDSS RHINA presented a 90.2% consistency with the diagnosis and treatment made by the ENT specialist. CONCLUSION: Patients assessed with the assistance of our CDSS RHINA would decrease the over-prescription of antibiotics, which in turn would help to reduce the bacterial resistance to the most commonly prescribed antibiotics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01599-3. BioMed Central 2021-08-09 /pmc/articles/PMC8350307/ /pubmed/34372852 http://dx.doi.org/10.1186/s12911-021-01599-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Hart, L.
Polášková, A.
Schalek, P.
Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
title Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
title_full Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
title_fullStr Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
title_full_unstemmed Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
title_short Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis
title_sort clinical decision support system rhina in the diagnosis and treatment of acute or chronic rhinosinusitis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350307/
https://www.ncbi.nlm.nih.gov/pubmed/34372852
http://dx.doi.org/10.1186/s12911-021-01599-3
work_keys_str_mv AT hartl clinicaldecisionsupportsystemrhinainthediagnosisandtreatmentofacuteorchronicrhinosinusitis
AT polaskovaa clinicaldecisionsupportsystemrhinainthediagnosisandtreatmentofacuteorchronicrhinosinusitis
AT schalekp clinicaldecisionsupportsystemrhinainthediagnosisandtreatmentofacuteorchronicrhinosinusitis