Telehealth Satisfaction in Patients Receiving Virtual Atrial Fibrillation Care: Quantitative Exploratory Study.
adoption
atrial fibrillation
attitude
attitudes
attitudes toward technology
cardiology
eHealth
heart
perception
perceptions
satisfaction
self-efficacy
telehealth
telehealth satisfaction
telemedicine
Journal
JMIR human factors
ISSN: 2292-9495
Titre abrégé: JMIR Hum Factors
Pays: Canada
ID NLM: 101666561
Informations de publication
Date de publication:
14 09 2023
14 09 2023
Historique:
received:
23
06
2023
accepted:
07
08
2023
revised:
03
08
2023
medline:
15
9
2023
pubmed:
14
9
2023
entrez:
14
9
2023
Statut:
epublish
Résumé
Telehealth can optimize access to specialty care for patients with atrial fibrillation (AF). Virtual AF care, however, may not fit with the complex needs of patients with AF. This study aims to explore the correlation among attitudes toward health care technologies, self-efficacy, and telehealth satisfaction as part of the future planning of virtual AF clinic care. Patients with AF older than 18 years from an urban-based, highly specialized AF clinic who had an upcoming telehealth visit were invited to participate in a web-based survey. The survey asked about demographic characteristics; use of technology; general, computer, and health care technology self-efficacy (HTSE) and health care technology attitudes, using a validated 30-item tool; and telehealth satisfaction questionnaire using a validated 14-item questionnaire. Data were analyzed with descriptive statistics, correlational analyses, and linear regression modeling. Participants (n=195 of 579 invited, for a 34% response rate) were primarily older, male, and White, had postsecondary schooling or more, and had high self-reported overall and mental health ratings. A variety of technologies were used in their daily lives and for health care, with the majority of technologies comprising desktop and laptop computers, smartphones, and tablets. Self-efficacy and telehealth satisfaction questionnaire scores were high overall, with male participants having higher general self-efficacy, computer self-efficacy, HTSE, and technology attitude scores. After controlling for age and sex, only HTSE was significantly related to individuals' attitudes toward health care technology. Both general self-efficacy and attitude toward health care technology were positively related to telehealth satisfaction. Consistent with a previous study, only HTSE significantly influenced attitudes toward health care technology. This finding confirms that, in this regard, self-efficacy is not a general perception but is domain specific. Considering participants' predominant use of the telephone for virtual care, it follows that general self-efficacy and attitude toward health care technology were significant contributors to telehealth satisfaction. Given our patients' frequent use of technology and high computer self-efficacy and HTSE scores, the use of video for telehealth appointments could be supported.
Sections du résumé
BACKGROUND
Telehealth can optimize access to specialty care for patients with atrial fibrillation (AF). Virtual AF care, however, may not fit with the complex needs of patients with AF.
OBJECTIVE
This study aims to explore the correlation among attitudes toward health care technologies, self-efficacy, and telehealth satisfaction as part of the future planning of virtual AF clinic care.
METHODS
Patients with AF older than 18 years from an urban-based, highly specialized AF clinic who had an upcoming telehealth visit were invited to participate in a web-based survey. The survey asked about demographic characteristics; use of technology; general, computer, and health care technology self-efficacy (HTSE) and health care technology attitudes, using a validated 30-item tool; and telehealth satisfaction questionnaire using a validated 14-item questionnaire. Data were analyzed with descriptive statistics, correlational analyses, and linear regression modeling.
RESULTS
Participants (n=195 of 579 invited, for a 34% response rate) were primarily older, male, and White, had postsecondary schooling or more, and had high self-reported overall and mental health ratings. A variety of technologies were used in their daily lives and for health care, with the majority of technologies comprising desktop and laptop computers, smartphones, and tablets. Self-efficacy and telehealth satisfaction questionnaire scores were high overall, with male participants having higher general self-efficacy, computer self-efficacy, HTSE, and technology attitude scores. After controlling for age and sex, only HTSE was significantly related to individuals' attitudes toward health care technology. Both general self-efficacy and attitude toward health care technology were positively related to telehealth satisfaction.
CONCLUSIONS
Consistent with a previous study, only HTSE significantly influenced attitudes toward health care technology. This finding confirms that, in this regard, self-efficacy is not a general perception but is domain specific. Considering participants' predominant use of the telephone for virtual care, it follows that general self-efficacy and attitude toward health care technology were significant contributors to telehealth satisfaction. Given our patients' frequent use of technology and high computer self-efficacy and HTSE scores, the use of video for telehealth appointments could be supported.
Identifiants
pubmed: 37707881
pii: v10i1e50232
doi: 10.2196/50232
pmc: PMC10540016
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e50232Subventions
Organisme : CIHR
ID : PJT-148737
Pays : Canada
Informations de copyright
©Kathy L Rush, Lindsay Burton, Cherisse L Seaton, Peter Loewen, Brian P O'Connor, Lana Moroz, Kendra Corman, Mindy A Smith, Jason G Andrade. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 14.09.2023.
Références
Can Fam Physician. 2016 Dec;62(12):961-963
pubmed: 27965327
J Am Med Inform Assoc. 2020 Jun 1;27(6):957-962
pubmed: 32311034
PLoS One. 2019 Aug 30;14(8):e0221848
pubmed: 31469865
Digit Health. 2022 Dec 25;8:20552076221145420
pubmed: 36601284
Europace. 2022 Dec 9;24(12):2004-2014
pubmed: 36036694
Eur Heart J Qual Care Clin Outcomes. 2019 Jul 1;5(3):272-273
pubmed: 30847488
Int J Med Inform. 2018 Oct;118:44-53
pubmed: 30153920
J Telemed Telecare. 2003;9(1):46-50
pubmed: 12641893
JMIR Cardio. 2023 Jan 30;7:e41548
pubmed: 36716096
Am J Cardiol. 2023 Apr 1;192:174-181
pubmed: 36812701
JMIR Mhealth Uhealth. 2019 Sep 11;7(9):e12861
pubmed: 31512582
J Med Syst. 2019 Jan 25;43(3):51
pubmed: 30684065
J Med Internet Res. 2018 Apr 06;20(4):e123
pubmed: 29625950
Cardiovasc Digit Health J. 2020 Nov 28;2(1):63-70
pubmed: 35265891
Am J Surg. 2020 Jul;220(1):48-49
pubmed: 32336519
Dig Dis Sci. 2020 Jan;65(1):96-103
pubmed: 30604373
J Med Internet Res. 2014 May 08;16(5):e123
pubmed: 24811914
Heart Rhythm. 2020 Oct;17(10):1779-1783
pubmed: 32438016
J Geriatr Cardiol. 2017 Mar;14(3):195-203
pubmed: 28592963
J Med Internet Res. 2017 May 17;19(5):e172
pubmed: 28526671
Health Serv Insights. 2022 May 17;15:11786329221096033
pubmed: 35600322
Netw Model Anal Health Inform Bioinform. 2021;10(1):26
pubmed: 33842187
Int J Cardiol. 2019 Oct 1;292:277-279
pubmed: 31230937
J Med Internet Res. 2019 Apr 11;21(4):e12779
pubmed: 30973347
Ir J Med Sci. 2022 Aug;191(4):1505-1512
pubmed: 34402031
Trends Cardiovasc Med. 2018 Feb;28(2):144-150
pubmed: 28818431
Ann Intern Med. 2020 Jun 2;172(11 Suppl):S123-S129
pubmed: 32479176
Can J Cardiol. 2020 Dec;36(12):1847-1948
pubmed: 33191198
BMJ Open. 2020 Oct 13;10(10):e036904
pubmed: 33051232