iPREDICT: Characterization of Asthma Triggers and Selection of Digital Technology to Predict Changes in Disease Control
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| Názov: | iPREDICT: Characterization of Asthma Triggers and Selection of Digital Technology to Predict Changes in Disease Control |
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| Autori: | Mario Castro, Merrill Zavod, Annika Rutgersson, Magnus Jörntén-Karlsson, Bhaskar Dutta, Lynn Hagger |
| Zdroj: | J Asthma Allergy Journal of Asthma and Allergy, Vol Volume 17, Pp 653-666 (2024) |
| Informácie o vydavateľovi: | Informa UK Limited, 2024. |
| Rok vydania: | 2024 |
| Predmety: | 03 medical and health sciences, 0302 clinical medicine, digital, asthma, Immunologic diseases. Allergy, RC581-607, sensors, devices, predictive algorithm, Original Research, 3. Good health |
| Popis: | The iPREDICT program aimed to develop an integrated digital health solution capable of continuous data streaming, predicting changes in asthma control, and enabling early intervention.As part of the iPREDICT program, asthma triggers were characterized by surveying 221 patients (aged ≥18 years) with self-reported asthma for a risk-benefit analysis of parameters predictive of changes in disease control. Seventeen healthy volunteers (age 25-65 years) tested 13 devices to measure these parameters and assessed their usability attributes.Patients identified irritants such as chemicals, allergens, weather changes, and physical activity as triggers that were the most relevant to deteriorating asthma control. Device testing in healthy volunteers revealed variable data formats/units and quality issues, such as missing data and low signal-to-noise ratio. Based on user preference and data capture validity, a spirometer, vital sign monitor, and sleep monitor formed the iPREDICT integrated system for continuous data streaming to develop a personalized/predictive algorithm for asthma control.These findings emphasize the need to systematically compare devices based on several parameters, including usability and data quality, to develop integrated digital technology programs for asthma care. |
| Druh dokumentu: | Article Other literature type |
| Jazyk: | English |
| ISSN: | 1178-6965 |
| DOI: | 10.2147/jaa.s458618 |
| Prístupová URL adresa: | https://pubmed.ncbi.nlm.nih.gov/39011068 https://doaj.org/article/8ea31e54128d4acda8efed623f77c345 |
| Rights: | CC BY NC URL: http://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at http://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (http://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (http://www.dovepress.com/terms.php). |
| Prístupové číslo: | edsair.doi.dedup.....bc83fbe6d5b50e714adfc615f991c233 |
| Databáza: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstrakt: | The iPREDICT program aimed to develop an integrated digital health solution capable of continuous data streaming, predicting changes in asthma control, and enabling early intervention.As part of the iPREDICT program, asthma triggers were characterized by surveying 221 patients (aged ≥18 years) with self-reported asthma for a risk-benefit analysis of parameters predictive of changes in disease control. Seventeen healthy volunteers (age 25-65 years) tested 13 devices to measure these parameters and assessed their usability attributes.Patients identified irritants such as chemicals, allergens, weather changes, and physical activity as triggers that were the most relevant to deteriorating asthma control. Device testing in healthy volunteers revealed variable data formats/units and quality issues, such as missing data and low signal-to-noise ratio. Based on user preference and data capture validity, a spirometer, vital sign monitor, and sleep monitor formed the iPREDICT integrated system for continuous data streaming to develop a personalized/predictive algorithm for asthma control.These findings emphasize the need to systematically compare devices based on several parameters, including usability and data quality, to develop integrated digital technology programs for asthma care. |
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| ISSN: | 11786965 |
| DOI: | 10.2147/jaa.s458618 |