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Exploring Smartphone App Use in Older Adults with a Chronic Respiratory Disease: The biggest Problem I have Is I Don't Understand My Phone At All.
Coll, Fiona; Grigoletto, Isis; Cavalheri, Vinicius; Smith, Jaimie-Lee; Claxton, Scott; Wulff, Sheldon; Hill, Kylie.
Afiliação
  • Coll F; Curtin School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Washington, Australia.
  • Grigoletto I; Department of Physiotherapy, São Paulo State University (UNESP), Faculty of Science and Technology, Presidente Prudente, Brazil.
  • Cavalheri V; Curtin School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Washington, Australia.
  • Smith JL; Allied Health, South Metropolitan Health Service, Perth, Washington, Australia.
  • Claxton S; Physiotherapy Department, Joondalup Health Campus, Perth, Washington, Australia.
  • Wulff S; Advara Sleep and Respiratory Care, Joondalup, Perth, Washington, Australia.
  • Hill K; Physiotherapy Department, Royal Perth Hospital, Perth, Washington, Australia.
Respiration ; 103(9): 535-543, 2024.
Article em En | MEDLINE | ID: mdl-38897190
ABSTRACT

INTRODUCTION:

In older people with a chronic respiratory disease, we explored (i) usual Smartphone application (App) use, (ii) the time taken to download and use an App, and (iii) changes in self-efficacy for downloading an App after a single practice session.

METHODS:

Participants were invited to attend one or two separate assessment sessions (Part A and B). Those who attended Part A had data pertaining to their App usage over the previous week extracted from their Smartphone. Those who attended Part B were asked to download and use a pedometer App and "think out loud" during the task. Before and after the task, participants rated their self-efficacy for downloading an App using a Visual Analogue Scale (0-10).

RESULTS:

Twenty-seven participants (mean ± SD 74 ± 5 years) completed Part A. Commonly used Apps related to communication (e.g., texting; median [interquartile range] 15 [9-25] min/day) and interest (e.g., news; 14 [4-50] min/day). Fifteen participants completed Part B (mean ± SD 73 ± 7 years). The median time taken to download and use the App was 24 (22-37) min. The "think out loud" data converged into four domains (i) low self-efficacy for using and learning Apps; (ii) reliance on others for help; (iii) unpleasant emotional responses; and (iv) challenges due to changes associated with longevity. Self-efficacy increased by 4 (95% confidence interval 3-6).

CONCLUSION:

This population used Apps mainly to facilitate social connection. It took participants almost half an hour to download and use an App, but a single practice session improved self-efficacy.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Autoeficácia / Aplicativos Móveis / Smartphone Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Respiration Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Autoeficácia / Aplicativos Móveis / Smartphone Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Revista: Respiration Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Austrália