1. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study.
- Author
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Jácome C, Almeida R, Pereira AM, Amaral R, Mendes S, Alves-Correia M, Vidal C, López Freire S, Méndez Brea P, Araújo L, Couto M, Antolín-Amérigo D, de la Hoz Caballer B, Barra Castro A, Gonzalez-De-Olano D, Todo Bom A, Azevedo J, Leiria Pinto P, Pinto N, Castro Neves A, Palhinha A, Todo Bom F, Costa A, Chaves Loureiro C, Maia Santos L, Arrobas A, Valério M, Cardoso J, Emiliano M, Gerardo R, Cidrais Rodrigues JC, Oliveira G, Carvalho J, Mendes A, Lozoya C, Santos N, Menezes F, Gomes R, Câmara R, Rodrigues Alves R, Moreira AS, Bordalo D, Alves C, Ferreira JA, Lopes C, Silva D, Vasconcelos MJ, Teixeira MF, Ferreira-Magalhães M, Taborda-Barata L, Cálix MJ, Alves A, and Almeida Fonseca J
- Subjects
- Adolescent, Adult, Feasibility Studies, Humans, Medication Adherence, Spain, Asthma drug therapy, Mobile Applications
- Abstract
Background: Poor medication adherence is a major challenge in asthma, and objective assessment of inhaler adherence is needed. The InspirerMundi app aims to monitor adherence while providing a positive experience through gamification and social support., Objective: This study aimed to evaluate the feasibility and acceptability of the InspirerMundi app to monitor medication adherence in adolescents and adults with persistent asthma (treated with daily inhaled medication)., Methods: A 1-month mixed method multicenter observational study was conducted in 26 secondary care centers from Portugal and Spain. During an initial face-to-face visit, physicians reported patients' asthma therapeutic plan in a structured questionnaire. During the visits, patients were invited to use the app daily to register their asthma medication intakes. A scheduled intake was considered taken when patients registered the intake (inhaler, blister, or other drug formulation) by using the image-based medication detection tool. At 1 month, patients were interviewed by phone, and app satisfaction was assessed on a 1 (low) to 5 (high) scale. Patients were also asked to point out the most and least preferred app features and make suggestions for future app improvements., Results: A total of 107 patients (median 27 [P25-P75 14-40] years) were invited, 92.5% (99/107) installed the app, and 73.8% (79/107) completed the 1-month interview. Patients interacted with the app a median of 9 (P25-P75 1-24) days. At least one medication was registered in the app by 78% (77/99) of patients. A total of 53% (52/99) of participants registered all prescribed inhalers, and 34% (34/99) registered the complete asthma therapeutic plan. Median medication adherence was 75% (P25-P75 25%-90%) for inhalers and 82% (P25-P75 50%-94%) for other drug formulations. Patients were globally satisfied with the app, with 75% (59/79) scoring ≥4,; adherence monitoring, symptom monitoring, and gamification features being the most highly scored components; and the medication detection tool among the lowest scored. A total of 53% (42/79) of the patients stated that the app had motivated them to improve adherence to inhaled medication and 77% (61/79) would recommend the app to other patients. Patient feedback was reflected in 4 major themes: medication-related features (67/79, 85%), gamification and social network (33/79, 42%), symptom monitoring and physician communication (21/79, 27%), and other aspects (16/79, 20%)., Conclusions: The InspirerMundi app was feasible and acceptable to monitor medication adherence in patients with asthma. Based on patient feedback and to increase the registering of medications, the therapeutic plan registration and medication detection tool were redesigned. Our results highlight the importance of patient participation to produce a patient-centered and engaging mHealth asthma app., (©Cristina Jácome, Rute Almeida, Ana Margarida Pereira, Rita Amaral, Sandra Mendes, Magna Alves-Correia, Carmen Vidal, Sara López Freire, Paula Méndez Brea, Luís Araújo, Mariana Couto, Darío Antolín-Amérigo, Belén de la Hoz Caballer, Alicia Barra Castro, David Gonzalez-De-Olano, Ana Todo Bom, João Azevedo, Paula Leiria Pinto, Nicole Pinto, Ana Castro Neves, Ana Palhinha, Filipa Todo Bom, Alberto Costa, Cláudia Chaves Loureiro, Lilia Maia Santos, Ana Arrobas, Margarida Valério, João Cardoso, Madalena Emiliano, Rita Gerardo, José Carlos Cidrais Rodrigues, Georgeta Oliveira, Joana Carvalho, Ana Mendes, Carlos Lozoya, Natacha Santos, Fernando Menezes, Ricardo Gomes, Rita Câmara, Rodrigo Rodrigues Alves, Ana Sofia Moreira, Diana Bordalo, Carlos Alves, José Alberto Ferreira, Cristina Lopes, Diana Silva, Maria João Vasconcelos, Maria Fernanda Teixeira, Manuel Ferreira-Magalhães, Luís Taborda-Barata, Maria José Cálix, Adelaide Alves, João Almeida Fonseca. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 25.05.2021.)
- Published
- 2021
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