RESUMO
BACKGROUND: Information/communication technologies such as mobile phone applications (apps) would enable chronic urticaria (CU) patients to self-evaluate their disease activity and control. Yet, recently Antó et al (2021) reported a global paucity of such apps for patients with CU. In this analysis, we assessed patient interest in using apps to monitor CU disease activity and control using questions from the chronic urticaria information and communication technologies (CURICT) study. METHODS: The methodology for CURICT has been reported. Briefly, a 23-item questionnaire was completed by 1841 CU patients from 17 UCAREs across 17 countries. Here, we analyzed patient responses to the CURICT questions on the use of apps for urticaria-related purposes. RESULTS: As previously published, the majority of respondents had chronic spontaneous urticaria (CSU; 63%; 18% chronic inducible urticaria (CIndU) [CIndu]; 19% with both), were female (70%) and in urban areas (75%). Over half of patients were very/extremely interested in an app to monitor disease activity (51%) and control (53%), while only â¼1/10 were not. Patients with both urticaria types versus those with CSU only (odds ratio [OR], 1.36 [1.03-1.79]) and females versus males (OR [95% CI], 1.47 [1.17-1.85]) were more likely to be very to extremely interested in an app to assess disease control. CONCLUSIONS: Overall, half of the patients with CU were very to extremely interested in using an app to assess their disease activity and control. Development of well-designed apps, specific to disease types (CSU, CIndU, CSU + CIndU, etc), validated by experts across platforms would help improve the management and possibly outcomes of CU treatment while providing important patient information to be used in future research.
RESUMO
BACKGROUND: Few studies have explored the association between obstructive sleep apnea (OSA) and chronic urticaria (CU). Our study aims to fill this gap by determining the frequency of the risk categories for OSA and how they might correlate with the specific CU patient reported outcome measures urticaria activity score (UAS7), urticaria control test (UCT) and CU quality of life questionnaire (CU-Q2oL). METHODS: We conducted a cross-sectional study involving a cohort of 171 Latin American CU patients. Descriptive statistics were used to determine frequency and proportions for demographic and clinical variables, while a chi-squared test for association between STOP-Bang OSA questionnaire categories and both UAS7 and UCT categories was performed to analyze how such variables interact. To further assess the strength of the correlation a Cramer's V coefficient was reported. Finally, a Kendall-Tau b correlation coefficient was performed to measure the correlation between the STOP-Bang score and other independent continuous variables. RESULTS: The average STOP-Bang score was 2.5, with 24% and 21% of patients falling into the intermediate and high-risk category for moderate-to-severe OSA, respectively. There was a strong statistically significant association (Cramer's V = 0.263; p = .000) between UAS-7 categories and STOP-Bang risk categories. A similar pattern of strong significant association (Cramer's V = .269; p = .002) was observed between UCT categories and STOP-Bang risk categories. A weak positive correlation between the STOP-Bang score and the CU-Q2oL average score (τb = 0.188, p = .001) was identified. Overall, 72.5% patients reported limitations with respect to sleep in a varied degree according to the CU-Q2oL. CONCLUSIONS: Our results suggest that a considerable proportion of patients with CU are at intermediate to high risk for OSA. Higher disease activity, poor CU control, and worse quality of life were all found to be associated with an increased risk. Additional studies are needed to determine the exact link between these conditions, and to determine whether screening and treatment for OSA might benefit patients with CU.
RESUMO
BACKGROUND: Patients with chronic urticaria (CU) are increasingly using information and communication technologies (ICTs) to manage their health. What CU patients expect from ICTs and which ICTs they prefer remains unknown. We assessed why CU patients use ICTs, which ones they prefer, and what drives their expectations and choices. METHODS: In this cross-sectional study, 1841 patients across 17 countries were recruited at UCAREs (Urticaria Centers of Reference and Excellence). Patients with CU who were >12 years old completed a 23-item questionnaire. RESULTS: Most patients were interested in receiving disease information (87.3%), asking physicians about CU (84.1%), and communicating with other patients through ICTs (65.6%). For receiving disease information, patients preferred one-to-one and one-to-many ICTs, especially web browsers. One-to-one ICTs were also the ICTs of choice for asking physicians about urticaria and for communicating with other patients, and e-mail and WhatsApp were the preferred ICTs, respectively. Many-to-many ICTs such as Facebook, Instagram, LinkedIn, and Twitter were least preferred for all 3 purposes. Living in rural areas and higher education were linked to higher odds of being interested in receiving disease information, asking physicians, and communicating with patients through ICTs. CONCLUSIONS: Most patients and especially patients with higher education who live in rural areas are interested in using ICTs for their healthcare, but prefer different ICTs for different purposes, ie, web browsers for obtaining information, e-mail for asking physicians, and WhatsApp for communicating with other patients. Our findings may help to improve ICTs for CU.