Health behavior outcomes in stroke survivors prescribed wearables for atrial fibrillation detection stratified by age.


Journal

Journal of geriatric cardiology : JGC
ISSN: 1671-5411
Titre abrégé: J Geriatr Cardiol
Pays: China
ID NLM: 101237881

Informations de publication

Date de publication:
28 Mar 2024
Historique:
medline: 26 4 2024
pubmed: 26 4 2024
entrez: 26 4 2024
Statut: ppublish

Résumé

Smartwatches have become readily accessible tools for detecting atrial fibrillation (AF). There remains limited data on how they affect psychosocial outcomes and engagement in older adults. We examine the health behavior outcomes of stroke survivors prescribed smartwatches for AF detection stratified by age. We analyzed data from the Pulsewatch study, a randomized controlled trial that enrolled patients (≥ 50 years) with a history of stroke or transient ischemic attack and CHA2DS2-VASc ≥ 2. Intervention participants were equipped with a cardiac patch monitor and a smartwatch-app dyad, while control participants wore the cardiac patch monitor for up to 44 days. We evaluated health behavior parameters using standardized tools, including the Consumer Health Activation Index, the Generalized Anxiety Disorder questionnaire, the 12-Item Short Form Health Survey, and wear time of participants categorized into three age groups: Group 1 (ages 50-60), Group 2 (ages 61-69), and Group 3 (ages 70-87). We performed statistical analysis using a mixed-effects repeated measures linear regression model to examine differences amongst age groups. Comparative analysis between Groups 1, 2 and 3 revealed no significant differences in anxiety, patient activation, perception of physical health and wear time. The use of smartwatch technology was associated with a decrease in perception of mental health for Group 2 compared to Group 1 (β = -3.29, Stroke survivors demonstrated a willingness to use smartwatches for AF monitoring. Importantly, among these study participants, the majority did not experience negative health behavior outcomes or decreased engagement as age increased.

Sections du résumé

BACKGROUND BACKGROUND
Smartwatches have become readily accessible tools for detecting atrial fibrillation (AF). There remains limited data on how they affect psychosocial outcomes and engagement in older adults. We examine the health behavior outcomes of stroke survivors prescribed smartwatches for AF detection stratified by age.
METHODS METHODS
We analyzed data from the Pulsewatch study, a randomized controlled trial that enrolled patients (≥ 50 years) with a history of stroke or transient ischemic attack and CHA2DS2-VASc ≥ 2. Intervention participants were equipped with a cardiac patch monitor and a smartwatch-app dyad, while control participants wore the cardiac patch monitor for up to 44 days. We evaluated health behavior parameters using standardized tools, including the Consumer Health Activation Index, the Generalized Anxiety Disorder questionnaire, the 12-Item Short Form Health Survey, and wear time of participants categorized into three age groups: Group 1 (ages 50-60), Group 2 (ages 61-69), and Group 3 (ages 70-87). We performed statistical analysis using a mixed-effects repeated measures linear regression model to examine differences amongst age groups.
RESULTS RESULTS
Comparative analysis between Groups 1, 2 and 3 revealed no significant differences in anxiety, patient activation, perception of physical health and wear time. The use of smartwatch technology was associated with a decrease in perception of mental health for Group 2 compared to Group 1 (β = -3.29,
CONCLUSION CONCLUSIONS
Stroke survivors demonstrated a willingness to use smartwatches for AF monitoring. Importantly, among these study participants, the majority did not experience negative health behavior outcomes or decreased engagement as age increased.

Identifiants

pubmed: 38665288
doi: 10.26599/1671-5411.2024.03.005
pii: jgc-21-3-323
pmc: PMC11040051
doi:

Types de publication

Journal Article

Langues

eng

Pagination

323-330

Informations de copyright

© 2024 JGC All rights reserved; www.jgc301.com.

Déclaration de conflit d'intérêts

Dr. McManus reports receiving research support from Apple Computer, Bristol-Myers Squibb, Boehringer-Ingelheim, Fitbit, Pfizer, Samsung, Flexcon, Philips Healthcare, and Biotronik; consultancy fees from Bristol-Myers Squibb, Pfizer, Flexcon, Boston Biomedical Associates/Avania, Fitbit, and Heart Rhythm Society. Dr. Tran reports receiving research grants from Novartis.

Auteurs

Joanne Mathew (J)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Department of Internal Medicine, Central Michigan University, Mount Pleasant, USA.

Jordy Mehawej (J)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Ziyue Wang (Z)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Taylor Orwig (T)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Eric Ding (E)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Andreas Filippaios (A)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Syed Naeem (S)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Edith Mensah Otabil (EM)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Alex Hamel (A)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Kamran Noorishirazi (K)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Irina Radu (I)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Jane Saczynski (J)

Department of Pharmacy and Health Systems Sciences, School of Pharmacy, Northeastern University, Boston, USA.

David D McManus (DD)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.
Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Khanh-Van Tran (KV)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Lake Avenue North, Worcester, USA.

Classifications MeSH