作者
Ana Luisa Neves, Cristina Jácome, Tiago Taveira-Gomes, Ana Margarida Pereira, Rute Almeida, Rita Amaral, Magna Alves-Correia, Sandra Mendes, Cláudia Chaves-Loureiro, Margarida Valério, Cristina Lopes, Joana Carvalho, Ana Mendes, Carmelita Ribeiro, Sara Prates, José Alberto Ferreira, Maria Fernanda Teixeira, Joana Branco, Marta Santalha, Maria João Vasconcelos, Carlos Lozoya, Natacha Santos, Francisca Cardia, Ana Sofia Moreira, Luís Taborda-Barata, Cláudia Sofia Pinto, Rosário Ferreira, Pedro Morais Silva, Tania Monteiro Ferreira, Raquel Câmara, Rui Lobo, Diana Bordalo, Cristina Guimarães, Maria Espírito Santo, José Ferraz de Oliveira, Maria Jose Calix Augusto, Ricardo Gomes, Inês Vieira, Sofia da Silva, Maria Marques, João Cardoso, Ana Morete, Margarida Aroso, Ana Margarida Cruz, Carlos Nunes, Rita Câmara, Natalina Rodrigues, Carmo Abreu, Ana Luísa Albuquerque, Claúdia Vieira, Carlos Santos, Rosália Páscoa, Carla Chaves-Loureiro, Adelaide Alves, Ângela Neves, José Varanda Marques, Bruno Reis, Manuel Ferreira-Magalhães, João Almeida Fonseca
发表日期
2021/9/22
期刊
Journal of Medical Internet Research
卷号
23
期号
9
页码范围
e25472
出版商
JMIR Publications
简介
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 …
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AL Neves, C Jácome, T Taveira-Gomes, AM Pereira… - Journal of Medical Internet Research, 2021