Cargando…

Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study

INTRODUCTION: Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Yi, Li, Zhichao, He, Yi, Zhang, Yalin, Guo, Zhaoxia, Lei, Yi, Zhao, Qian, Li, Dongze, Zhang, Zhi, Zhang, Yonggang, Liao, Xiaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196261/
https://www.ncbi.nlm.nih.gov/pubmed/37213597
http://dx.doi.org/10.3389/fpubh.2023.1128127
_version_ 1785044309291040768
author Yao, Yi
Li, Zhichao
He, Yi
Zhang, Yalin
Guo, Zhaoxia
Lei, Yi
Zhao, Qian
Li, Dongze
Zhang, Zhi
Zhang, Yonggang
Liao, Xiaoyang
author_facet Yao, Yi
Li, Zhichao
He, Yi
Zhang, Yalin
Guo, Zhaoxia
Lei, Yi
Zhao, Qian
Li, Dongze
Zhang, Zhi
Zhang, Yonggang
Liao, Xiaoyang
author_sort Yao, Yi
collection PubMed
description INTRODUCTION: Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of WEDs are not well understood. To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF. METHOD: The research hypotheses and questionnaire items were designed and developed based on the unified theory of acceptance and technology (UTAUT) framework. We used stratified sampling and obtained the data through an online survey. Structural equation modeling was used to analyze the collected data.Results: A total of 1,004 valid questionnaires from GPs across Sichuan province in China were collected. Three factors increased GPs’ intention to utilize WEDs to screen patients for AF, including performance expectancy (β = 0.121, p = 0.004), social influence (β = 0.356, p < 0.001), and price perception (β = 0.587, p < 0.001). Perception risk (β = −0.059, p < 0.001) decreased usage intention, while effort expectancy (β = −0.079, p = 0.155) and facilitating conditions (β = −0.014, p = 0.868) did not affect usage intention. Gender (β = −0.022, p = 0.179), age (β = 0.006, p = 0.699), education level (β = −0.22, p = 0.184) and training (β = 0.007, p = 0.69) were not significantly correlated with usage intention, and these four factors had no moderating effect on the path coefficients. DISCUSSION: GPs’ intention to utilize WEDs is affected by performance expectancy, price perception, perception risk and social influence. Researcher should improve the usability and perception of WEDs for screening and carry out studies to provide high-quality evidence for the security and efficacy of wearable devices.
format Online
Article
Text
id pubmed-10196261
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-101962612023-05-20 Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study Yao, Yi Li, Zhichao He, Yi Zhang, Yalin Guo, Zhaoxia Lei, Yi Zhao, Qian Li, Dongze Zhang, Zhi Zhang, Yonggang Liao, Xiaoyang Front Public Health Public Health INTRODUCTION: Atrial fibrillation (AF) is a challenging cardiovascular disease worldwide. Wearable electrocardiograph devices (WEDs) have great potential to improve the detection rate of AF in primary care. However, the factors that influence general practitioners’ (GPs) perception and acceptance of WEDs are not well understood. To identify factors that influence the intention of GPs to utilize WEDs in a clinical setting to screen patients for AF. METHOD: The research hypotheses and questionnaire items were designed and developed based on the unified theory of acceptance and technology (UTAUT) framework. We used stratified sampling and obtained the data through an online survey. Structural equation modeling was used to analyze the collected data.Results: A total of 1,004 valid questionnaires from GPs across Sichuan province in China were collected. Three factors increased GPs’ intention to utilize WEDs to screen patients for AF, including performance expectancy (β = 0.121, p = 0.004), social influence (β = 0.356, p < 0.001), and price perception (β = 0.587, p < 0.001). Perception risk (β = −0.059, p < 0.001) decreased usage intention, while effort expectancy (β = −0.079, p = 0.155) and facilitating conditions (β = −0.014, p = 0.868) did not affect usage intention. Gender (β = −0.022, p = 0.179), age (β = 0.006, p = 0.699), education level (β = −0.22, p = 0.184) and training (β = 0.007, p = 0.69) were not significantly correlated with usage intention, and these four factors had no moderating effect on the path coefficients. DISCUSSION: GPs’ intention to utilize WEDs is affected by performance expectancy, price perception, perception risk and social influence. Researcher should improve the usability and perception of WEDs for screening and carry out studies to provide high-quality evidence for the security and efficacy of wearable devices. Frontiers Media S.A. 2023-05-05 /pmc/articles/PMC10196261/ /pubmed/37213597 http://dx.doi.org/10.3389/fpubh.2023.1128127 Text en Copyright © 2023 Yao, Li, He, Zhang, Guo, Lei, Zhao, Li, Zhang, Zhang and Liao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Yao, Yi
Li, Zhichao
He, Yi
Zhang, Yalin
Guo, Zhaoxia
Lei, Yi
Zhao, Qian
Li, Dongze
Zhang, Zhi
Zhang, Yonggang
Liao, Xiaoyang
Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
title Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
title_full Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
title_fullStr Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
title_full_unstemmed Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
title_short Factors affecting wearable ECG device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
title_sort factors affecting wearable ecg device adoption by general practitioners for atrial fibrillation screening: cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196261/
https://www.ncbi.nlm.nih.gov/pubmed/37213597
http://dx.doi.org/10.3389/fpubh.2023.1128127
work_keys_str_mv AT yaoyi factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT lizhichao factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT heyi factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT zhangyalin factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT guozhaoxia factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT leiyi factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT zhaoqian factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT lidongze factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT zhangzhi factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT zhangyonggang factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy
AT liaoxiaoyang factorsaffectingwearableecgdeviceadoptionbygeneralpractitionersforatrialfibrillationscreeningcrosssectionalstudy