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The role of INTERCheckWEB digital innovation in supporting polytherapy management
The study aims at defining the factors affecting the clinicians’ decision of changing or confirming the treatment options for frail patients in polytherapy, supporting prescribing patterns, thus also figuring out if the inclination of the clinicians towards digital solutions (INTERCheckWEB) and spec...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072813/ https://www.ncbi.nlm.nih.gov/pubmed/37016155 http://dx.doi.org/10.1038/s41598-023-32844-6 |
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author | Foglia, Emanuela Ferrario, Lucrezia Garagiola, Elisabetta Asperti, Federica Mazzone, Antonino Gatti, Federico Varalli, Luca Ponsiglione, Cristina Cannavacciuolo, Lorella |
author_facet | Foglia, Emanuela Ferrario, Lucrezia Garagiola, Elisabetta Asperti, Federica Mazzone, Antonino Gatti, Federico Varalli, Luca Ponsiglione, Cristina Cannavacciuolo, Lorella |
author_sort | Foglia, Emanuela |
collection | PubMed |
description | The study aims at defining the factors affecting the clinicians’ decision of changing or confirming the treatment options for frail patients in polytherapy, supporting prescribing patterns, thus also figuring out if the inclination of the clinicians towards digital solutions (INTERCheckWEB) and specific guidelines, could play a role in their decision. A literature review was performed, revealing the main individual, organizational and decisional factors, impacting on the clinicians’ propensity to change the current patients’ therapy: the clinician perceptions of support in case of clinical guidelines use or INTERCheckWEB use were studied. A qualitative approach was implemented, and thirty-five clinicians completed a questionnaire, aimed at evaluating fifteen different clinical cases, defining if they would change the patient’s current therapy depending on the level of information received. Three methodological approaches were implemented. (1) Bivariate correlations to test the relationships between variables. (2) Hierarchical sequential linear regression model to define the predictors of the clinician propensity to change therapy. (3) Fuzzy Qualitative Comparative Analysis—fsQCA, to figure out the combination of variables leading to the outcome. Patient’s age and autonomy (p value = 0.000), as well as clinician’s perception regarding IT ease of use (p value = 0.043) and seniority (p value = 0.009), number of drugs assumed by the patients (p value = 0.000) and number of concomitant diseases (p value = 0.000) are factors influencing a potential change in the current therapy. The fsQCA-crisp confirms that the clinical conditions of the patients are the driving factors that prompt the clinicians towards a therapy change. |
format | Online Article Text |
id | pubmed-10072813 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100728132023-04-05 The role of INTERCheckWEB digital innovation in supporting polytherapy management Foglia, Emanuela Ferrario, Lucrezia Garagiola, Elisabetta Asperti, Federica Mazzone, Antonino Gatti, Federico Varalli, Luca Ponsiglione, Cristina Cannavacciuolo, Lorella Sci Rep Article The study aims at defining the factors affecting the clinicians’ decision of changing or confirming the treatment options for frail patients in polytherapy, supporting prescribing patterns, thus also figuring out if the inclination of the clinicians towards digital solutions (INTERCheckWEB) and specific guidelines, could play a role in their decision. A literature review was performed, revealing the main individual, organizational and decisional factors, impacting on the clinicians’ propensity to change the current patients’ therapy: the clinician perceptions of support in case of clinical guidelines use or INTERCheckWEB use were studied. A qualitative approach was implemented, and thirty-five clinicians completed a questionnaire, aimed at evaluating fifteen different clinical cases, defining if they would change the patient’s current therapy depending on the level of information received. Three methodological approaches were implemented. (1) Bivariate correlations to test the relationships between variables. (2) Hierarchical sequential linear regression model to define the predictors of the clinician propensity to change therapy. (3) Fuzzy Qualitative Comparative Analysis—fsQCA, to figure out the combination of variables leading to the outcome. Patient’s age and autonomy (p value = 0.000), as well as clinician’s perception regarding IT ease of use (p value = 0.043) and seniority (p value = 0.009), number of drugs assumed by the patients (p value = 0.000) and number of concomitant diseases (p value = 0.000) are factors influencing a potential change in the current therapy. The fsQCA-crisp confirms that the clinical conditions of the patients are the driving factors that prompt the clinicians towards a therapy change. Nature Publishing Group UK 2023-04-04 /pmc/articles/PMC10072813/ /pubmed/37016155 http://dx.doi.org/10.1038/s41598-023-32844-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Foglia, Emanuela Ferrario, Lucrezia Garagiola, Elisabetta Asperti, Federica Mazzone, Antonino Gatti, Federico Varalli, Luca Ponsiglione, Cristina Cannavacciuolo, Lorella The role of INTERCheckWEB digital innovation in supporting polytherapy management |
title | The role of INTERCheckWEB digital innovation in supporting polytherapy management |
title_full | The role of INTERCheckWEB digital innovation in supporting polytherapy management |
title_fullStr | The role of INTERCheckWEB digital innovation in supporting polytherapy management |
title_full_unstemmed | The role of INTERCheckWEB digital innovation in supporting polytherapy management |
title_short | The role of INTERCheckWEB digital innovation in supporting polytherapy management |
title_sort | role of intercheckweb digital innovation in supporting polytherapy management |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10072813/ https://www.ncbi.nlm.nih.gov/pubmed/37016155 http://dx.doi.org/10.1038/s41598-023-32844-6 |
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