Anxiety, patient activation, and quality of life among stroke survivors prescribed smartwatches for atrial fibrillation monitoring.

Atrial fibrillation Elderly Smartwatches Stroke Wearables

Journal

Cardiovascular digital health journal
ISSN: 2666-6936
Titre abrégé: Cardiovasc Digit Health J
Pays: United States
ID NLM: 101771268

Informations de publication

Date de publication:
Aug 2023
Historique:
medline: 21 8 2023
pubmed: 21 8 2023
entrez: 21 8 2023
Statut: epublish

Résumé

The detection of atrial fibrillation (AF) in stroke survivors is critical to decreasing the risk of recurrent stroke. Smartwatches have emerged as a convenient and accurate means of AF diagnosis; however, the impact on critical patient-reported outcomes, including anxiety, engagement, and quality of life, remains ill defined. To examine the association between smartwatch prescription for AF detection and the patient-reported outcomes of anxiety, patient activation, and self-reported health. We used data from the Pulsewatch trial, a 2-phase randomized controlled trial that included participants aged 50 years or older with a history of ischemic stroke. Participants were randomized to use either a proprietary smartphone-smartwatch app for 30 days of AF monitoring or no cardiac rhythm monitoring. Validated surveys were deployed before and after the 30-day study period to assess anxiety, patient activation, and self-rated physical and mental health. Logistic regression and generalized estimation equations were used to examine the association between smartwatch prescription for AF monitoring and changes in the patient-reported outcomes. A total of 110 participants (mean age 64 years, 41% female, 91% non-Hispanic White) were studied. Seventy percent of intervention participants were novice smartwatch users, as opposed to 84% of controls, and there was no significant difference in baseline rates of anxiety, activation, or self-rated health between the 2 groups. The incidence of new AF among smartwatch users was 6%. Participants who were prescribed smartwatches did not have a statistically significant change in anxiety, activation, or self-reported health as compared to those who were not prescribed smartwatches. The results held even after removing participants who received an AF alert on the watch. The prescription of smartwatches to stroke survivors for AF monitoring does not adversely affect key patient-reported outcomes. Further research is needed to better inform the successful deployment of smartwatches in clinical practice.

Sections du résumé

Background UNASSIGNED
The detection of atrial fibrillation (AF) in stroke survivors is critical to decreasing the risk of recurrent stroke. Smartwatches have emerged as a convenient and accurate means of AF diagnosis; however, the impact on critical patient-reported outcomes, including anxiety, engagement, and quality of life, remains ill defined.
Objectives UNASSIGNED
To examine the association between smartwatch prescription for AF detection and the patient-reported outcomes of anxiety, patient activation, and self-reported health.
Methods UNASSIGNED
We used data from the Pulsewatch trial, a 2-phase randomized controlled trial that included participants aged 50 years or older with a history of ischemic stroke. Participants were randomized to use either a proprietary smartphone-smartwatch app for 30 days of AF monitoring or no cardiac rhythm monitoring. Validated surveys were deployed before and after the 30-day study period to assess anxiety, patient activation, and self-rated physical and mental health. Logistic regression and generalized estimation equations were used to examine the association between smartwatch prescription for AF monitoring and changes in the patient-reported outcomes.
Results UNASSIGNED
A total of 110 participants (mean age 64 years, 41% female, 91% non-Hispanic White) were studied. Seventy percent of intervention participants were novice smartwatch users, as opposed to 84% of controls, and there was no significant difference in baseline rates of anxiety, activation, or self-rated health between the 2 groups. The incidence of new AF among smartwatch users was 6%. Participants who were prescribed smartwatches did not have a statistically significant change in anxiety, activation, or self-reported health as compared to those who were not prescribed smartwatches. The results held even after removing participants who received an AF alert on the watch.
Conclusion UNASSIGNED
The prescription of smartwatches to stroke survivors for AF monitoring does not adversely affect key patient-reported outcomes. Further research is needed to better inform the successful deployment of smartwatches in clinical practice.

Identifiants

pubmed: 37600446
doi: 10.1016/j.cvdhj.2023.04.002
pii: S2666-6936(23)00027-0
pmc: PMC10435956
doi:

Types de publication

Journal Article

Langues

eng

Pagination

118-125

Informations de copyright

© 2023 Heart Rhythm Society.

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Auteurs

Tenes J Paul (TJ)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Khanh-Van Tran (KV)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Jordy Mehawej (J)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Darleen Lessard (D)

Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.

Eric Ding (E)

Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.

Andreas Filippaios (A)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Sakeina Howard-Wilson (S)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Edith Mensah Otabil (EM)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Kamran Noorishirazi (K)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Syed Naeem (S)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Alex Hamel (A)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Dong Han (D)

Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut.

Ki H Chon (KH)

Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut.

Bruce Barton (B)

Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts.

Jane Saczynski (J)

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

David McManus (D)

Division of Cardiovascular Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.

Classifications MeSH