Contribution of MASK-air® as a mHealth tool for digitally-enabled person-centred care in rhinitis and asthma.

Data de publicação: Data Ahead of Print:

Autores da FMUP

  • Bernardo Manuel De Sousa Pinto

    Autor

  • João De Almeida Lopes Da Fonseca

    Autor

Participantes de fora da FMUP

  • Bousquet J

Unidades de investigação

Abstract

In chronic diseases, mobile health apps may help to (i) improve clinical management and (ii) provide valuable real-world scientific evidence. In allergic rhinitis, a market research study has only identified four mHealth apps which were multilingual, resulted in scientific publications and displayed a comprehensive list of medications. Ot those, MASK-air® was the app with the highest number of scientific publications. MASK-air® has been launched in 2015 and is currently available in 30 countries, having collected data from more than 30,000 users. It comprises a daily monitoring questionnaire, allowing patients to register (i) their daily allergy symptoms by means of visual analogue scales, and (ii) their medication use. The achievements of MASK-air® include the development of two digital biomarkers for daily monitoring of rhinitis and asthma (combined symptom-medication score and electronic daily asthma control score). In addition, MASK-air® data have allowed to assess patients' behaviours, suggesting that patients do not follow guideline recommendations, but rather treat themselves (and often use co-medication) whenever feeling worse. Using MASK-air® data, it has also been possible to quantify the impact of allergic diseases in quality-of-life, school and work productivity. MASK-air® real-world data is being used as a source of evidence for the Allergic Rhinitis and its Impact on Asthma 2024 guidelines, in an innovative process of incorporation of mobile health data into guidelines. This review discusses the clinical and scientific contributions of MASK-air® for person-centred care of rhinitis and asthma, providing an illustrative example on the use of mobile health in chronic diseases.

Dados da publicação

ISSN/ISSNe:
1018-9068, 1698-0808

JOURNAL OF INVESTIGATIONAL ALLERGOLOGY AND CLINICAL IMMUNOLOGY  Esmon Publicidad S.A.

Tipo:
Article
Páginas:
148-156
Link para outro recurso:
www.scopus.com

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Keywords

  • Allergic rhinitis; Asthma; Mobile health; Patient-reported outcome measures

Proyectos asociados

Prevalence and Characterisation of Asthma Patients According to Disease Severity in Portugal (EPI-ASTHMA) - NCT05169619

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Observacional (EPI-ASTHMA) . AstraZeneca . 2021

Effect of a Mobile App on Improving Asthma Control in Adolescents and Adults With Persistent Asthma: A Pilot Randomized Multicentre, Superiority Clinical Trial (mINSPIRERS) - NCT05129527

Investigador Principal: João de Almeida Lopes da Fonseca

Ensaio Clínico Académico (mINSPIRERS) . 2021

Utilização em estudos observacionais do Registo de Asma Grave Portugal.

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Observacional Académico (RAG) . 2020

Clinical Research Collaboration Severe Heterogenous Asthma Research collaboration, Patient-centered (CRC SHARP).

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Observacional (SHARP) . European Respiratory Society . 2021

Multidimensional phenotyping of severe asthma patients and its impact on disease control and therapeutic response - analysis from the Portuguese Severe Asthma Registry.

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Observacional (RAG-SPP-GSK) . SPPneumologia . 2022

BREATHE - An oBservational, pRimary data study to characterize severe AsThma pHenotypes and assEss disease burden across the EUCAN region.

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Observacional (RAG-AZ-BREATHE) . AstraZeneca . 2022

Seroprevalence of SARS-CoV-2 and assessment of epidemiologic determinants in Portuguese municipal workers

Investigador Principal: Bernardo Manuel De Sousa Pinto

Estudo Clínico Académico (SARS-CoV-2) . 2021

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Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Académico . 2022

Use of secondary data, health technology assessment methods and economic modelling applied to penicillin allergy

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Académico . 2020

Using different data sources for the identification of asthma patients and those at high risk of adverse outcomes

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Académico . 2020

Phenotypes of Chronic Diseases of the Airways: Towards Multidimensional Data -Driven Profiling

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Clínico Académico . 2020

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