Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results

Research output: Contribution to journalJournal articleResearchpeer-review

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Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation : TeleCheck-AF Results. / TeleCheck-AF investigators.

In: Frontiers in Cardiovascular Medicine, Vol. 8, 757587, 2022.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

TeleCheck-AF investigators 2022, 'Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results', Frontiers in Cardiovascular Medicine, vol. 8, 757587. https://doi.org/10.3389/fcvm.2021.757587

APA

TeleCheck-AF investigators (2022). Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results. Frontiers in Cardiovascular Medicine, 8, [757587]. https://doi.org/10.3389/fcvm.2021.757587

Vancouver

TeleCheck-AF investigators. Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results. Frontiers in Cardiovascular Medicine. 2022;8. 757587. https://doi.org/10.3389/fcvm.2021.757587

Author

TeleCheck-AF investigators. / Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation : TeleCheck-AF Results. In: Frontiers in Cardiovascular Medicine. 2022 ; Vol. 8.

Bibtex

@article{30209975397c481d81eaa89a3d37fe75,
title = "Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation: TeleCheck-AF Results",
abstract = "IntroductionThe TeleCheck-AF approach is an on-demand mobile health (mHealth) infrastructure incorporating mobile app-based heart rate and rhythm monitoring through teleconsultation. We evaluated feasibility and accuracy of self-reported mHealth-based AF risk factors and CHA(2)DS(2)-VASc-score in atrial fibrillation (AF) patients managed within this approach. Materials and MethodsConsecutive patients from eight international TeleCheck-AF centers were asked to complete an app-based 10-item questionnaire related to risk factors, associated conditions and CHA(2)DS(2)-VASc-score components. Patient's medical history was retrieved from electronic health records (EHR). ResultsAmong 994 patients, 954 (96%) patients (38% female, median age 65 years) completed the questionnaire and were included in this analysis. The accuracy of self-reported assessment was highest for pacemaker and anticoagulation treatment and lowest for heart failure and arrhythmias. Patients who knew that AF increases the stroke risk, more often had a 100% or >= 80% correlation between EHR- and app-based results compared to those who did not know (27 vs. 14% or 84 vs. 77%, P = 0.001). Thromboembolic events were more often reported in app (vs. EHR) in all countries, whereas higher self-reported hypertension and anticoagulant treatment were observed in Germany and heart failure in the Netherlands. If the app-based questionnaire alone was used for clinical decision-making on anticoagulation initiation, 26% of patients would have been undertreated and 6.1%-overtreated. ConclusionSelf-reported mHealth-based assessment of AF risk factors is feasible. It shows high accuracy of pacemaker and anticoagulation treatment, nevertheless, displays limited accuracy for some of the CHA(2)DS(2)-VASc-score components. Direct health care professional assessment of risk factors remains indispensable to ensure high quality clinical-decision making.",
keywords = "atrial fibrillation, mobile health, photoplethysmography, risk factors, thromboembolic risk",
author = "Hermans, {Astrid N. L.} and Monika Gawalko and Hillmann, {Henrike A. K.} and Afzal Sohaib and {van der Velden}, {Rachel M. J.} and Konstanze Betz and Dominique Verhaert and Daniel Scherr and Julia Meier and Arian Sultan and Daniel Steven and Elena Terentieva and Ron Pisters and Martin Hemels and Leonard Voorhout and Piotr Lodzinski and Bartosz Krzowski and Dhiraj Gupta and Nikola Kozhuharov and Henri Gruwez and Kevin Vernooy and Pluymaekers, {Nikki A. H. A.} and Hendriks, {Jeroen M.} and Martin Manninger and David Duncker and Dominik Linz and {TeleCheck-AF investigators}",
year = "2022",
doi = "10.3389/fcvm.2021.757587",
language = "English",
volume = "8",
journal = "Frontiers in Cardiovascular Medicine",
issn = "2297-055X",
publisher = "Frontiers Media",

}

RIS

TY - JOUR

T1 - Self-Reported Mobile Health-Based Risk Factor and CHA2DS2-VASc-Score Assessment in Patients With Atrial Fibrillation

T2 - TeleCheck-AF Results

AU - Hermans, Astrid N. L.

AU - Gawalko, Monika

AU - Hillmann, Henrike A. K.

AU - Sohaib, Afzal

AU - van der Velden, Rachel M. J.

AU - Betz, Konstanze

AU - Verhaert, Dominique

AU - Scherr, Daniel

AU - Meier, Julia

AU - Sultan, Arian

AU - Steven, Daniel

AU - Terentieva, Elena

AU - Pisters, Ron

AU - Hemels, Martin

AU - Voorhout, Leonard

AU - Lodzinski, Piotr

AU - Krzowski, Bartosz

AU - Gupta, Dhiraj

AU - Kozhuharov, Nikola

AU - Gruwez, Henri

AU - Vernooy, Kevin

AU - Pluymaekers, Nikki A. H. A.

AU - Hendriks, Jeroen M.

AU - Manninger, Martin

AU - Duncker, David

AU - Linz, Dominik

AU - TeleCheck-AF investigators

PY - 2022

Y1 - 2022

N2 - IntroductionThe TeleCheck-AF approach is an on-demand mobile health (mHealth) infrastructure incorporating mobile app-based heart rate and rhythm monitoring through teleconsultation. We evaluated feasibility and accuracy of self-reported mHealth-based AF risk factors and CHA(2)DS(2)-VASc-score in atrial fibrillation (AF) patients managed within this approach. Materials and MethodsConsecutive patients from eight international TeleCheck-AF centers were asked to complete an app-based 10-item questionnaire related to risk factors, associated conditions and CHA(2)DS(2)-VASc-score components. Patient's medical history was retrieved from electronic health records (EHR). ResultsAmong 994 patients, 954 (96%) patients (38% female, median age 65 years) completed the questionnaire and were included in this analysis. The accuracy of self-reported assessment was highest for pacemaker and anticoagulation treatment and lowest for heart failure and arrhythmias. Patients who knew that AF increases the stroke risk, more often had a 100% or >= 80% correlation between EHR- and app-based results compared to those who did not know (27 vs. 14% or 84 vs. 77%, P = 0.001). Thromboembolic events were more often reported in app (vs. EHR) in all countries, whereas higher self-reported hypertension and anticoagulant treatment were observed in Germany and heart failure in the Netherlands. If the app-based questionnaire alone was used for clinical decision-making on anticoagulation initiation, 26% of patients would have been undertreated and 6.1%-overtreated. ConclusionSelf-reported mHealth-based assessment of AF risk factors is feasible. It shows high accuracy of pacemaker and anticoagulation treatment, nevertheless, displays limited accuracy for some of the CHA(2)DS(2)-VASc-score components. Direct health care professional assessment of risk factors remains indispensable to ensure high quality clinical-decision making.

AB - IntroductionThe TeleCheck-AF approach is an on-demand mobile health (mHealth) infrastructure incorporating mobile app-based heart rate and rhythm monitoring through teleconsultation. We evaluated feasibility and accuracy of self-reported mHealth-based AF risk factors and CHA(2)DS(2)-VASc-score in atrial fibrillation (AF) patients managed within this approach. Materials and MethodsConsecutive patients from eight international TeleCheck-AF centers were asked to complete an app-based 10-item questionnaire related to risk factors, associated conditions and CHA(2)DS(2)-VASc-score components. Patient's medical history was retrieved from electronic health records (EHR). ResultsAmong 994 patients, 954 (96%) patients (38% female, median age 65 years) completed the questionnaire and were included in this analysis. The accuracy of self-reported assessment was highest for pacemaker and anticoagulation treatment and lowest for heart failure and arrhythmias. Patients who knew that AF increases the stroke risk, more often had a 100% or >= 80% correlation between EHR- and app-based results compared to those who did not know (27 vs. 14% or 84 vs. 77%, P = 0.001). Thromboembolic events were more often reported in app (vs. EHR) in all countries, whereas higher self-reported hypertension and anticoagulant treatment were observed in Germany and heart failure in the Netherlands. If the app-based questionnaire alone was used for clinical decision-making on anticoagulation initiation, 26% of patients would have been undertreated and 6.1%-overtreated. ConclusionSelf-reported mHealth-based assessment of AF risk factors is feasible. It shows high accuracy of pacemaker and anticoagulation treatment, nevertheless, displays limited accuracy for some of the CHA(2)DS(2)-VASc-score components. Direct health care professional assessment of risk factors remains indispensable to ensure high quality clinical-decision making.

KW - atrial fibrillation

KW - mobile health

KW - photoplethysmography

KW - risk factors

KW - thromboembolic risk

U2 - 10.3389/fcvm.2021.757587

DO - 10.3389/fcvm.2021.757587

M3 - Journal article

C2 - 35127847

VL - 8

JO - Frontiers in Cardiovascular Medicine

JF - Frontiers in Cardiovascular Medicine

SN - 2297-055X

M1 - 757587

ER -

ID: 317954964