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Factors influencing smartwatch use and comfort with health data sharing: a sequential mixed-method study protocol.
Goodings, Anthony James; Fadahunsi, Kayode Philip; Tarn, Derjung Mimi; Henn, Patrick; Shiely, Frances; O'Donoghue, John.
Afiliação
  • Goodings AJ; College of Medicine and Health, University College Cork, Cork, Ireland.
  • Fadahunsi KP; Primary Care and Public Health, Imperial College London, London, UK k.fadahunsi14@imperial.ac.uk.
  • Tarn DM; UCLA, Los Angeles, California, USA.
  • Henn P; School of Medicine, University College Cork, Cork, Ireland.
  • Shiely F; Epidemiology and Public Health, University College Cork, Cork, Ireland.
  • O'Donoghue J; Malawi eHealth Research Centre, University College Cork, Cork, Ireland.
BMJ Open ; 14(5): e081228, 2024 May 15.
Article em En | MEDLINE | ID: mdl-38754889
ABSTRACT

INTRODUCTION:

Smartwatches have become ubiquitous for tracking health metrics. These data sets hold substantial potential for enhancing healthcare and public health initiatives; it may be used to track chronic health conditions, detect previously undiagnosed health conditions and better understand public health trends. By first understanding the factors influencing one's continuous use of the device, it will be advantageous to assess factors that may influence a person's willingness to share their individual data sets. This study seeks to comprehensively understand the factors influencing the continued use of these devices and people's willingness to share the health data they generate. METHODS AND

ANALYSIS:

A two-section online survey of smartwatch users over the age of 18 will be conducted (n ≥200). The first section, based on the expectation-confirmation model, will assess factors influencing continued use of smartwatches while the second section will assess willingness to share the health data generated from these devices. Survey data will be analysed descriptively and based on structural equation modelling.Subsequently, six focus groups will be conducted to further understand the issues raised in the survey. Each focus group (n=6) will consist of three smartwatch users a general practitioner, a public health specialist and an IT specialist. Young smartwatch users (aged 18-44) will be included in three of the focus groups and middle-aged smartwatch users (aged 45-64) will be included in the other three groups. This is to enhance comparison of opinions based on age groups. Data from the focus groups will be analysed using the microinterlocutor approach and an executive summary.After the focus group, participants will complete a brief survey to indicate any changes in their opinions resulting from the discussion. ETHICS AND DISSEMINATION The results of this study will be disseminated through publication in a peer-reviewed journal, and all associated data will be deposited in a relevant, publicly accessible data repository to ensure transparency and facilitate future research endeavours.This study was approved by the Social Research Ethic Committee (SREC), University College Cork-SREC/SOM/21062023/2.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Grupos Focais Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: BMJ Open / BMJ open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irlanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Grupos Focais Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: BMJ Open / BMJ open Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Irlanda