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Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study

BACKGROUND: Mobile health technologies enable allergists to monitor disease trends by collecting daily patient-reported outcomes of allergic rhinitis. To this end, patients with allergies are usually required to enter their symptoms and medication repetitively over long time periods, which may prese...

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Autores principales: Dramburg, Stephanie, Perna, Serena, Di Fraia, Marco, Tripodi, Salvatore, Arasi, Stefania, Castelli, Sveva, Villalta, Danilo, Buzzulini, Francesca, Sfika, Ifigenia, Villella, Valeria, Potapova, Ekaterina, Brighetti, Maria Antonia, Travaglini, Alessandro, Verardo, Pierluigi, Pelosi, Simone, Matricardi, Paolo Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206201/
https://www.ncbi.nlm.nih.gov/pubmed/35657659
http://dx.doi.org/10.2196/31491
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author Dramburg, Stephanie
Perna, Serena
Di Fraia, Marco
Tripodi, Salvatore
Arasi, Stefania
Castelli, Sveva
Villalta, Danilo
Buzzulini, Francesca
Sfika, Ifigenia
Villella, Valeria
Potapova, Ekaterina
Brighetti, Maria Antonia
Travaglini, Alessandro
Verardo, Pierluigi
Pelosi, Simone
Matricardi, Paolo Maria
author_facet Dramburg, Stephanie
Perna, Serena
Di Fraia, Marco
Tripodi, Salvatore
Arasi, Stefania
Castelli, Sveva
Villalta, Danilo
Buzzulini, Francesca
Sfika, Ifigenia
Villella, Valeria
Potapova, Ekaterina
Brighetti, Maria Antonia
Travaglini, Alessandro
Verardo, Pierluigi
Pelosi, Simone
Matricardi, Paolo Maria
author_sort Dramburg, Stephanie
collection PubMed
description BACKGROUND: Mobile health technologies enable allergists to monitor disease trends by collecting daily patient-reported outcomes of allergic rhinitis. To this end, patients with allergies are usually required to enter their symptoms and medication repetitively over long time periods, which may present a risk to data completeness and quality in the case of insufficient effort reporting. Completeness of patient’s recording is easily measured. In contrast, the intrinsic quality and accuracy of the data entered by the patients are more elusive. OBJECTIVE: The aim of this study was to explore the association of adherence to digital symptom recording with a predefined set of parameters of the patient-generated symptom and medication scores and to identify parameters that may serve as proxy measure of the quality and reliability of the information recorded by the patient. METHODS: The @IT.2020 project investigates the diagnostic synergy of mobile health and molecular allergology in patients with seasonal allergic rhinitis. In its pilot phase, 101 children with seasonal allergic rhinitis were recruited in Rome and instructed to record their symptoms, medication intake, and general conditions daily via a mobile app (AllergyMonitor) during the relevant pollen season. We measured adherence to daily recording as the percentage of days with data recording in the observation period. We examined the patient’s trajectories of 3 disease indices (Rhinoconjunctivitis Total Symptom Score [RTSS], Combined Symptom and Medication Score [CSMS], and Visual Analogue Scale [VAS]) as putative proxies of data quality with the following 4 parameters: (1) intravariation index, (2) percentage of zero values, (3) coefficient of variation, and (4) percentage of changes in trend. Lastly, we examined the relationship between adherence to recording and each of the 4 proxy measures. RESULTS: Adherence to recording ranged from 20% (11/56) to 100% (56/56), with 64.4% (65/101) and 35.6% (36/101) of the patients’ values above (highly adherent patients) or below (low adherent patients) the threshold of 80%, respectively. The percentage of zero values, the coefficient of variation, and the intravariation index did not significantly change with the adherence to recording. By contrast, the proportion of changes in trend was significantly higher among highly adherent patients, independently from the analyzed score (RTSS, CSMS, and VAS). CONCLUSIONS: The percentage of changes in the trend of RTSS, CSMS, and VAS is a valuable candidate to validate the quality and accuracy of the data recorded by patients with allergic rhinitis during the pollen season. The performance of this parameter must be further investigated in real-life conditions before it can be recommended for routine use in apps and electronic diaries devoted to the management of patients with allergic rhinitis.
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spelling pubmed-92062012022-06-19 Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study Dramburg, Stephanie Perna, Serena Di Fraia, Marco Tripodi, Salvatore Arasi, Stefania Castelli, Sveva Villalta, Danilo Buzzulini, Francesca Sfika, Ifigenia Villella, Valeria Potapova, Ekaterina Brighetti, Maria Antonia Travaglini, Alessandro Verardo, Pierluigi Pelosi, Simone Matricardi, Paolo Maria JMIR Mhealth Uhealth Original Paper BACKGROUND: Mobile health technologies enable allergists to monitor disease trends by collecting daily patient-reported outcomes of allergic rhinitis. To this end, patients with allergies are usually required to enter their symptoms and medication repetitively over long time periods, which may present a risk to data completeness and quality in the case of insufficient effort reporting. Completeness of patient’s recording is easily measured. In contrast, the intrinsic quality and accuracy of the data entered by the patients are more elusive. OBJECTIVE: The aim of this study was to explore the association of adherence to digital symptom recording with a predefined set of parameters of the patient-generated symptom and medication scores and to identify parameters that may serve as proxy measure of the quality and reliability of the information recorded by the patient. METHODS: The @IT.2020 project investigates the diagnostic synergy of mobile health and molecular allergology in patients with seasonal allergic rhinitis. In its pilot phase, 101 children with seasonal allergic rhinitis were recruited in Rome and instructed to record their symptoms, medication intake, and general conditions daily via a mobile app (AllergyMonitor) during the relevant pollen season. We measured adherence to daily recording as the percentage of days with data recording in the observation period. We examined the patient’s trajectories of 3 disease indices (Rhinoconjunctivitis Total Symptom Score [RTSS], Combined Symptom and Medication Score [CSMS], and Visual Analogue Scale [VAS]) as putative proxies of data quality with the following 4 parameters: (1) intravariation index, (2) percentage of zero values, (3) coefficient of variation, and (4) percentage of changes in trend. Lastly, we examined the relationship between adherence to recording and each of the 4 proxy measures. RESULTS: Adherence to recording ranged from 20% (11/56) to 100% (56/56), with 64.4% (65/101) and 35.6% (36/101) of the patients’ values above (highly adherent patients) or below (low adherent patients) the threshold of 80%, respectively. The percentage of zero values, the coefficient of variation, and the intravariation index did not significantly change with the adherence to recording. By contrast, the proportion of changes in trend was significantly higher among highly adherent patients, independently from the analyzed score (RTSS, CSMS, and VAS). CONCLUSIONS: The percentage of changes in the trend of RTSS, CSMS, and VAS is a valuable candidate to validate the quality and accuracy of the data recorded by patients with allergic rhinitis during the pollen season. The performance of this parameter must be further investigated in real-life conditions before it can be recommended for routine use in apps and electronic diaries devoted to the management of patients with allergic rhinitis. JMIR Publications 2022-06-03 /pmc/articles/PMC9206201/ /pubmed/35657659 http://dx.doi.org/10.2196/31491 Text en ©Stephanie Dramburg, Serena Perna, Marco Di Fraia, Salvatore Tripodi, Stefania Arasi, Sveva Castelli, Danilo Villalta, Francesca Buzzulini, Ifigenia Sfika, Valeria Villella, Ekaterina Potapova, Maria Antonia Brighetti, Alessandro Travaglini, Pierluigi Verardo, Simone Pelosi, Paolo Maria Matricardi. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 03.06.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Dramburg, Stephanie
Perna, Serena
Di Fraia, Marco
Tripodi, Salvatore
Arasi, Stefania
Castelli, Sveva
Villalta, Danilo
Buzzulini, Francesca
Sfika, Ifigenia
Villella, Valeria
Potapova, Ekaterina
Brighetti, Maria Antonia
Travaglini, Alessandro
Verardo, Pierluigi
Pelosi, Simone
Matricardi, Paolo Maria
Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study
title Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study
title_full Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study
title_fullStr Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study
title_full_unstemmed Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study
title_short Validation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study
title_sort validation parameters of patient-generated data for digitally recorded allergic rhinitis symptom and medication scores in the @it.2020 project: exploratory study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206201/
https://www.ncbi.nlm.nih.gov/pubmed/35657659
http://dx.doi.org/10.2196/31491
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