Key Predictors of Adherence to a Mobile Health App for Managing Chronic Spontaneous Urticaria

作者：Hugo Viegas, Bernardo Sousa‐Pinto, Rafael José Vieira, Aisté Ramanauskaité, Ellen Witte‐Händel, Ana M. Giménez‐Arnau, Carole Guillet, Claudio Alberto Salvador Parisi, Constance H. Katelaris, Daria Fomina, Désirée Larenas‐Linnemann, Jorge Sánchez, E. Hernández García, Hermenio Lima, Ігор Петрович Кайдашев, Iman Nasr, Isabel Ogueta Canales, Iván Chérrez-Ojeda, Jean Bousquet, Jonathan A. Bernstein, Jonny Peter, José Ignacio Larco Sousa, Kanokvalai Kulthanan, Karsten Weller, Kiran Godse, Krzysztof Rutkowski, Lāsma Lapiņa, Laurence Bouillet, Luís Felipe Ensina, Margarida Gonçalo, Maria Staevska, Mariam Ali Yousuf Al‐Nesf, Markus Magerl, Martin Metz, Martijn B. A. van Doorn, Mary Anne R. Castor, Maryam Khoshkhui, Μichael Μakris, Michihiro Hide, Mohamed Abuzakouk, Mona Al‐Ahmad, Murat Türk, Natasa Teovska Mitrevska, Niall Conlon, Nicole Nojarov, Pavel Kolkhir, Philip H. Li, Ramzy Mohammed Ali, Rand Arnaout, Riccardo Asero, Sabine Altrichter, Simon Francis Thomsen, Young‐Min Ye, Zenon Brzoza, Zuotao Zhao, Torsten Zuberbier, Frank Siebenhaar, Emek Kocatürk, Sophia Neisinger · 发表于：Clinical and Translational Allergy · 年份：2025 · DOI：10.1002/clt2.70110 · 被引用次数：2 · 研究领域：Urticaria and Related Conditions、Mast cells and histamine、Drug-Induced Adverse Reactions

BACKGROUND: Mobile health technologies may improve the management of chronic diseases, such as chronic spontaneous urticaria. However, effectiveness of mHealth tools largely depends on patient adherence, which can be influenced by various demographic, clinical, behavioural, psychosocial factors, and apps characteristics (appealing and simplicity of use). Understanding these adherence patterns is crucial for optimizing mHealth interventions. In this study, we aimed to assess adherence patterns associated to the use of CRUSE, a mHealth app designed for patients with CSU. METHODS: We assessed users of the CRUSE app with self-reported CSU or suggested by a physician. For each user, we evaluated the number of days they completed the CRUSE daily monitoring questionnaire (app adherence) within the first 3 months after installation. We constructed univariable and multivariable ordered beta regression models to identify predictors of 3-month adherence to the app. RESULTS: We analysed data from 2085 patients (66,114 days). Median adherence to the CRUSE app was of 22 days (24.4% of 90 days). In multivariable regression models, the variables more strongly associated with increased adherence to CRUSE included age (average increase = 0.16 percent points [pp] per additional year; 95% credible interval [CrI] = 0.08; 0.23 pp), male sex (average difference = 4.24 pp; 95% CrI = 1.77; 6.39 pp), being from a European country (average difference = 2.66 pp; 95% CrI = 0.59; 5.19 pp), and using monoc...