Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App: Analysis of Real-World, Medium-Term Feasibility Studies

Data de publicação: Data Ahead of Print:

Autores da FMUP

  • Cristina Isabel Oliveira Jácome

    Autor

  • Rute Alexandra Borges De Almeida

    Autor

  • Ana Margarida Barbosa Ribeiro Pereira

    Autor

  • Rita Da Silva Amaral

    Autor

  • Pedro Manuel Vieira Marques

    Autor

  • Luís Miguel Vieira De Araújo

    Autor

  • Diana Margarida Gonçalves Solha Pereira Da Silva

    Autor

  • Diana Sofia Antunes Bordalo

    Autor

  • João De Almeida Lopes Da Fonseca

    Autor

Participantes de fora da FMUP

  • Mendes, S
  • Alves-Correia, M
  • Ferreira, JA
  • Lopes, I
  • Gomes, J
  • Couto, M
  • Loureiro, CC
  • Santos, LM
  • Arrobas, A
  • Valério, M
  • Bom, AT
  • Azevedo, J
  • Teixeira, MF
  • Ferreira-Magalh?es, M
  • Pinto, PL
  • Pinto, N
  • Neves, AC
  • Mor?te, A
  • Bom, FT
  • Costa, A
  • Vasconcelos, MJ
  • Falcao, H
  • Marques, ML
  • Mendes, A
  • Cardoso, J
  • Rodrigues, JCC
  • Oliveira, G
  • Carvalho, J
  • Lozoya, C
  • Santos, N
  • Menezes, F
  • Gomes, R
  • C?mara, R
  • Alves, RR
  • Moreira, AS
  • Abreu, C
  • Silva, R
  • Alves, C
  • Lopes, C
  • Taborda-Barata, L
  • Fernandes, RM
  • Ferreira, R
  • Chaves-Loureiro, C
  • Cálix, MJ
  • Alves, A

Unidades de investigação

Abstract

Background: Poor medication adherence is a major challenge in asthma and objective assessment of inhaler adherence is needed. InspirerMundi app aims to monitor inhaler adherence while turning it into a positive experience through gamification and social support.Objective: We assessed the medium-term feasibility of the InspirerMundi app to monitor inhaler adherence in real-world patients with persistent asthma (treated with daily inhaled medication). In addition, we attempted to identify the characteristics of the patients related to higher app use.Methods: Two real-world multicenter observational studies, with one initial face-to-face visit and a 4-month telephone interview, were conducted in 29 secondary care centers from Portugal. During an initial face-to-face visit, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients took a photo of the medication (inhaler, blister, or others) using the image-based medication detection tool. Medication adherence was calculated as the number of doses taken as a percentage of the number scheduled. Interacting with the app =30 days was used as the cut-off for higher app use.Results: A total of 114 patients {median 20 [percentile 25 to percentile 75 (P25-P75) 16-36] years, 62% adults} were invited, 107 (94%) installed the app and 83 (73%) completed the 4-month interview. Patients interacted with the app for a median of 18 [3-45] days, translated on a median use rate of 15 [3-38]%. Median inhaler adherence assessed through the app was 34 [4-73]% when considering all scheduled inhalations for the study period. Inhaler adherence assessed was not significantly correlated with self-reported estimates. Median adherence for oral and other medication was 41 [6-83]% and 43 [3-73]%, respectively. Patients with higher app use were slightly older (p = 0.012), more frequently taking medication for other health conditions (p = 0.040), and more frequently prescribed long-acting muscarinic antagonists (LAMA, p = 0.024). After 4 months, Control of Allergic Rhinitis and Asthma Test (CARAT) scores improved (p < 0.001), but no differences between patients interacting with the app for 30 days or less were seen.Conclusions: The InspirerMundi app was feasible to monitor inhaler adherence in patients with persistent asthma. The persistent use of this mHealth technology varies widely. A better understanding of characteristics related to higher app use is still needed before effectiveness studies are undertaken.

Copyright © 2021 Jácome, Almeida, Pereira, Amaral, Vieira-Marques, Mendes, Alves-Correia, Ferreira, Lopes, Gomes, Araújo, Couto, Chaves Loureiro, Santos, Arrobas, Valério, Todo Bom, Azevedo, Teixeira, Ferreira-Magalhães, Pinto, Pinto, Neves, Morête, Bom, Costa, Silva, Vasconcelos, Falcão, Marques, Mendes, Cardoso, Cidrais Rodrigues, Oliveira, Carvalho, Lozoya, Santos, Menezes, Gomes, Câmara, Alves, Moreira, Abreu, Silva, Bordalo, Alves, Lopes, Taborda-Barata, Fernandes, Ferreira, Chaves-Loureiro, Cálix, Alves and Fonseca.

Dados da publicação

ISSN/ISSNe:
2673-3129, 2673-3129

Frontiers In Medical Technology  FRONTIERS MEDIA SA

Tipo:
Article
Páginas:
649506-649506
Link para outro recurso:
www.scopus.com

Citações Recebidas na Web of Science: 5

Citações Recebidas na Scopus: 7

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Keywords

  • mHealth; smartphone; technology assessment; medication adherence; self-management; patient participation

Financiamento

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

Utilização em estudos observacionais do Registo de Asma Grave Portugal.

Investigador Principal: João de Almeida Lopes da Fonseca

Estudo Observacional Académico (RAG) . 2020

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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