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Background Health and fitness apps have potential benefits to improve self-management and disease control among patients with asthma. However, inconsistent use rates have been reported across studies, regions, and health systems. A better understanding of the characteristics of users and nonusers is critical to design solutions that are effectively integrated in patients’ daily lives, and to ensure that these equitably reach out to different groups of patients, thus improving rather than entrenching health inequities. Objective This study aimed to evaluate the use of general health and fitness apps by patients with asthma and to identify determinants of usage. Methods A secondary analysis of the INSPIRERS observational studies was conducted using data from face-to-face visits. Patients with a diagnosis of asthma were included between November 2017 and August 2020. Individual-level data were collected, including age, gender, marital status, educational level, health status, presence of anxiety and depression, postcode, socioeconomic level, digital literacy, use of health services, and use of health and fitness apps. Multivariate logistic regression was used to model the probability of being a health and fitness app user. Statistical analysis was performed in R. Results A total of 526 patients attended a face-to-face visit in the 49 recruiting centers and 514 had complete data. Most participants were ≤40 years old (66.4%), had at least 10 years of education (57.4%), and were in the 3 higher quintiles of the socioeconomic deprivation index (70.1%). The majority reported an overall good health status (visual analogue scale [VAS] score>70 in 93.1%) and the prevalence of anxiety and depression was 34.3% and 11.9%, respectively. The proportion of participants who reported using health and fitness mobile apps was 41.1% (n=211). Multivariate models revealed that single individuals and those with more than 10 years of education are more likely to use health and fitness mobile apps (adjusted odds ratio [aOR] 2.22, 95%CI 1.05-4.75 and aOR 1.95, 95%CI 1.12-3.45, respectively). Higher digital literacy scores were also associated with higher odds of being a user of health and fitness apps, with participants in the second, third, and fourth quartiles reporting aORs of 6.74 (95%CI 2.90-17.40), 10.30 (95%CI 4.28-27.56), and 11.52 (95%CI 4.78-30.87), respectively. Participants with depression symptoms had lower odds of using health and fitness apps (aOR 0.32, 95%CI 0.12-0.83). Conclusions A better understanding of the barriers and enhancers of app use among patients with lower education, lower digital literacy, or depressive symptoms is key to design tailored interventions to ensure a sustained and equitable use of these technologies. Future studies should also assess users’ general health-seeking behavior and their interest and concerns specifically about digital tools. These factors may impact both initial engagement and sustained use.

This work was funded by ERDF (European Regional Development Fund) through the operations: POCI- -01-0145-FEDER-029130 (“mINSPIRERS—mHealth to measure and improve adherence to medication in chronic obstructive respiratory diseases - generalisation and evaluation of gamification, peer support and advanced image processing technologies”) co-funded by the COMPETE2020 (Programa Operacional Competitividade e Internacionalização), Portugal 2020 and by Portuguese Funds through FCT (Fundação para a Ciência e a Tecnologia). © 2020, Sociedade Portuguesa de Alergologia e Imunologia Clinica. All rights reserved. Aims: To identify distinct asthma control clusters based on Control of Allergic Rhinitis and Asthma Test (CARAT) and to compare patients’ characteristics among these clusters. Methods: Adults and adolescents (≥13 years) with persistent asthma were recruited at 29 Portuguese hospital outpatient clinics, in the context of two observational studies of the INSPIRERS project. Demographic and clinical characteristics, adherence to inhaled medication, beliefs about inhaled medication, anxiety and depression, quality of life, and asthma control (CARAT, >24 good control) were collected. Hierarchical cluster analysis was performed using CARAT total score (CARAT-T). Results: 410 patients (68% adults), with a median (percentile 25–percentile 75) age of 28 (16-46) years, were analysed. Three clusters were identified [mean CARAT-T (min-max)]: cluster 1 [27(24-30)], cluster 2 [19(14-23)] and cluster 3 [10(2-13)]. Patients in cluster 1 (34%) were characterised by better asthma control, better quality of life, higher inhaler adherence and use of a single inhaler. Patients in clusters 2 (50%) and 3 (16%) had uncontrolled asthma, lower inhaler adherence, more symptoms of anxiety and depression and more than half had at least one exacerbation in the previous year. Further-more, patients in cluster 3 were predominantly female, had more unscheduled medical visits and more anxiety symp-toms, perceived a higher necessity of their prescribed inhalers but also higher levels of concern about taking these inhalers. There were no differences in age, body mass index, lung function, smoking status, hospital admissions or specialist physician follow-up time among the three clusters. Conclusion: An unsupervised method based on CARAT--T, identified 3 clusters of patients with distinct, clinically meaningful characteristics. The cluster with better asthma control had a cut-off similar to the established in the validation study of CARAT and an additional cut-off seems to distinguish more severe disease. Further research is necessary to validate the asthma control clusters identified. publishersversion published

BACKGROUND Health and fitness apps have potential benefits to improve self-management and disease control in patients with asthma. However, inconsistent use rates have been reported across studies, regions and health systems. A better understanding of the characteristics of users and non-users is critical to design solutions that are effectively integrated in patients daily life, and to ensure that these equitably reach out to different groups of patients, improving rather than entrenching health inequities. OBJECTIVE To evaluate the use of general health and fitness apps by patients with asthma and to identify determinants of usage. METHODS A secondary analysis of Inspirers observational studies was conducted using face-to-face visits. Patients with a diagnosis of asthma were included between November 2017 and August 2020. Individual-level data were collected, including age, gender, marital status, educational level, health status, presence of anxiety and/or depression, postcode, socio-economic index, digital literacy, health services use, and use of health and fitness apps. Multivariate logistic regression was used to model the probability of being a health and fitness app user. Statistical analysis was performed in R. RESULTS A total of 526 patients attended a face-to-face visit in the 49 recruiting centers and 514 had complete data. Most participants were 40 years or less (66.4%), had at least 10 years of education (57.4%) and were in the three higher quintiles of the socio-economic deprivation index (70.1%). The majority reported an overall good health status (visual analogue scale-VAS > 70 in 93.1%) and the prevalence of anxiety and depression was, respectively, 34.3% and 11.9%. The proportion of participants that reported using health and fitness mobile apps was 41.1% (n=211). The multivariate models revealed that single individuals and those with more than 10 years of education are more likely to use health and fitness mobile apps (adjusted OR 2.22 (95%CI [1.05-4.75]) and 1.95 (95%CI [1.12-3.45]), respectively). Higher digital literacy scores were also associated with higher odds of being a user of health and fitness apps, with participants in the second, third and fourth quartiles showing, respectively, adjusted ORs of 6.74 (95%CI [2.90-17.40]), 10.30 (95%CI [4.28-27.56]), and 11.52 (95%CI [4.78-30.87]). Participants with depression symptoms had lower odds of using mobile health and fitness apps (adjusted OR 0.32, 95%CI [0.12-0.83]). CONCLUSIONS A better understanding of the barriers and enhancers of app use by patients with lower education, lower digital literacy, or with depressive symptoms, is key to design tailored interventions to improve a sustained and equitable use of these technologies. Future studies should also assess users’ general health-seeking behavior, as well as their interest and concerns about digital tools specifically. These factors may impact both initial engagement and sustained use. CLINICALTRIAL

Unsupervised methods may unveil the potential of the INSPIRERS studies to comprehend the heterogeneous characteristics of asthma. Therefore, we aimed to identify distinct classes of asthma among the participants, using latent class analysis (LCA), and to compare their characteristics across classes. We applied LCA to 308 adults (≥18 years) with persistent asthma (treated with daily inhaled medication) participants in the observational and prospective INSPIRERS studies, conducted in 26 secondary care outpatient clinics from Portugal and Spain. The classifying variables included asthma-related demographics, unscheduled healthcare use, Control of Allergic Rhinitis and Asthma Test (CARAT), and EuroQol 5 dimensions (EQ-5D) questionnaires. A three-class model was identified. Class 1 (21%) and Class 2 (26%) were characterized by highly symptomatic and uncontrolled asthma, with concomitant upper airways symptoms and reporting problems across all EQ-5D dimensions; they differed on high unscheduled healthcare use (Class 1) and early asthma onset (Class 2). Class 3 (53%): early asthma onset, controlled asthma with upper airways symptoms and without problems in EQ-5D dimensions. Compared to other classes, Class 1 had a higher proportion of subjects with FEV1 Three distinct and clinically meaningful unsupervised classes of asthma were identified among participants of the INSPIRERS studies, revealing the studies’ potential to support and enable patient-centered care and further research.