biostudies-literatureUnknown10(6)Dramburg S<h4>Background</h4>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.<h4>Objective</h4>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 aJMIR mHealth and uHealthe31491https://www.ebi.ac.uk/biostudies/studies/S-EPMC9206201biostudies-literatureValidation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study.PMC9206201Dramburg SDi Fraia MVillalta DPerna SCastelli STravaglini APotapova ETripodi SPelosi SMatricardi PMBuzzulini FArasi SBrighetti MASfika IVerardo PVillella VfalseValidation Parameters of Patient-Generated Data for Digitally Recorded Allergic Rhinitis Symptom and Medication Scores in the @IT.2020 Project: Exploratory Study.<h4>Background</h4>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.<h4>Objective</h4>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 a2022-01-01T00:00:00Z2022 Jun2025-04-04T11:46:42.591Z2025-04-04T11:46:42.591ZS-EPMC92062013565765910.2196/31491