Date
2014-11-07
Document Type
Poster
Description
Background: Investigators at UMass Medical School and WPI co-developed a novel smartphone application (app), PULSESMART, that detects atrial fibrillation (AF). AF is the world’s most common, serious heart rhythm problem. In its early stages, most cases of AF are paroxysmal (pAF), making them difficult to identify early in the course of disease. Long-term cardiac monitoring is frequently needed to diagnose and prevent complications from AF, such as stroke. Home monitoring for AF can be clinically impactful but existing technologies have cost or methodological limitations. Data are needed on the potential acceptability and usability of heart rhythm monitoring applications.
Aim: Our aim was to examine patient acceptability of using a pAF detection app.
Methods: 52 patients with pAF underwent rhythm assessment using the app and completed a standardized questionnaire. We looked specifically at responses to 3 questions: 1) how easy was it to use? 2) How important could it be for you? And 3) to what extent does it fit into your daily life?
Results: The mean age was 68.5 years and 69% female. The majority of patients reported the app was easy to use (73%), could be important to them and their health (84%), and would fit into their daily lives (78%).
Conclusions: After use of the pAF detection app, most patients reported positively. The results suggest that older persons with, or at risk for, pAF may benefit from smartphone-based arrhythmia detection platforms. Further work is needed to assess the feasibility of at-home or in-clinic app use.
DOI
10.13028/4b26-0g79
Rights and Permissions
Copyright the Author(s)
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.
Repository Citation
Amante, Daniel J.; English, Thomas M.; Saczynski, Jane S.; Esa, Nada; Nieto, Iryna; Chon, Ki H.; and McManus, David D., "Acceptability of a Novel Smartphone Application for Rhythm Evaluation in Patients with Atrial Fibrillation" (2014). Community Engagement and Research Symposia. 2.
https://escholarship.umassmed.edu/chr_symposium/2014/posters/2
https://doi.org/10.13028/4b26-0g79.
Included in
Cardiovascular Diseases Commons, Civic and Community Engagement Commons, Community-Based Research Commons, Community Health and Preventive Medicine Commons, Diagnosis Commons, Health Information Technology Commons, Translational Medical Research Commons
Acceptability of a Novel Smartphone Application for Rhythm Evaluation in Patients with Atrial Fibrillation
Background: Investigators at UMass Medical School and WPI co-developed a novel smartphone application (app), PULSESMART, that detects atrial fibrillation (AF). AF is the world’s most common, serious heart rhythm problem. In its early stages, most cases of AF are paroxysmal (pAF), making them difficult to identify early in the course of disease. Long-term cardiac monitoring is frequently needed to diagnose and prevent complications from AF, such as stroke. Home monitoring for AF can be clinically impactful but existing technologies have cost or methodological limitations. Data are needed on the potential acceptability and usability of heart rhythm monitoring applications.
Aim: Our aim was to examine patient acceptability of using a pAF detection app.
Methods: 52 patients with pAF underwent rhythm assessment using the app and completed a standardized questionnaire. We looked specifically at responses to 3 questions: 1) how easy was it to use? 2) How important could it be for you? And 3) to what extent does it fit into your daily life?
Results: The mean age was 68.5 years and 69% female. The majority of patients reported the app was easy to use (73%), could be important to them and their health (84%), and would fit into their daily lives (78%).
Conclusions: After use of the pAF detection app, most patients reported positively. The results suggest that older persons with, or at risk for, pAF may benefit from smartphone-based arrhythmia detection platforms. Further work is needed to assess the feasibility of at-home or in-clinic app use.