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Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors

BACKGROUND: Early detection of AF is critical for stroke prevention. Several commercially available smartwatches are FDA cleared for AF detection. However, little is known about how patient-physician relationships affect patients’ anxiety, activation, and health-related quality of life when prescrib...

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Autores principales: Mehawej, Jordy, Tran, Khanh-Van T., Filippaios, Andreas, Paul, Tenes, Abu, Hawa O., Ding, Eric, Mishra, Ajay, Dai, Qiying, Hariri, Essa, Howard Wilson, Sakeina, Asaker, Jean-Claude, Mathew, Joanne, Naeem, Syed, Mensah Otabil, Edith, Soni, Apurv, McManus, David D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897757/
https://www.ncbi.nlm.nih.gov/pubmed/36724401
http://dx.doi.org/10.1080/07853890.2022.2159516
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author Mehawej, Jordy
Tran, Khanh-Van T.
Filippaios, Andreas
Paul, Tenes
Abu, Hawa O.
Ding, Eric
Mishra, Ajay
Dai, Qiying
Hariri, Essa
Howard Wilson, Sakeina
Asaker, Jean-Claude
Mathew, Joanne
Naeem, Syed
Mensah Otabil, Edith
Soni, Apurv
McManus, David D.
author_facet Mehawej, Jordy
Tran, Khanh-Van T.
Filippaios, Andreas
Paul, Tenes
Abu, Hawa O.
Ding, Eric
Mishra, Ajay
Dai, Qiying
Hariri, Essa
Howard Wilson, Sakeina
Asaker, Jean-Claude
Mathew, Joanne
Naeem, Syed
Mensah Otabil, Edith
Soni, Apurv
McManus, David D.
author_sort Mehawej, Jordy
collection PubMed
description BACKGROUND: Early detection of AF is critical for stroke prevention. Several commercially available smartwatches are FDA cleared for AF detection. However, little is known about how patient-physician relationships affect patients’ anxiety, activation, and health-related quality of life when prescribed smartwatch for AF detection. METHODS: Data were used from the Pulsewatch study (NCT03761394), which randomized adults (>50 years) with no contraindication to anticoagulation and a CHA(2)DS(2)-VASc risk score ≥2 to receive a smartwatch-smartphone app dyad for AF monitoring vs. conventional monitoring with an ECG patch (Cardea Solo(TM)) and monitored participants for up to 45 days. The Perceived Efficacy in Patient-Physician Interactions survey was used to assess patient confidence in physician interaction at baseline with scores ≥45 indicating high perceived efficacy in patient-provider interactions. Generalized Anxiety Disorder-7 Scale, Consumer Health Activation Index, and Short-Form Health Survey were utilized to examine anxiety, patient activation, and physical and mental health status, at baseline, 14, and 44 days, respectively. We used mixed-effects repeated measures linear regression models to assess changes in psychosocial outcomes among smartwatch users in relation to self-reported efficacy in physician interaction over the study period. RESULTS: A total of 93 participants (average age 64.1 ± 8.9 years; 43.0% female; 88.2% non-Hispanic white) were included in this analysis. At baseline, fifty-six (60%) participants reported high perceived efficacy in patient-physician interaction. In the fully adjusted models, high perceived efficacy (vs. low) at baseline was associated with greater patient activation and perceived mental health (β 12.0, p-value <0.001; β 3.39, p-value <0.05, respectively). High perceived self-efficacy was not associated with anxiety or physical health status (β − 0.61, p-value 0.46; β 0.64, p-value 0.77) among study participants. CONCLUSIONS: Higher self-efficacy in patient-physician interaction was associated with higher patient activation and mental health status among stroke survivors using smartwatches. Furthermore, we found no association between anxiety and smartwatch prescription for AF in participants with high self-efficacy in patient-physician interaction. Efforts to improve self-efficacy in patient-physician interaction may improve patient activation and self-rated health and subsequently may lead to better clinical outcomes. KEY MESSAGES: 1. Higher self-efficacy in patient-physician interaction was associated with higher patient activation and mental health status among stroke survivors using smartwatches. 2. No association between anxiety and smartwatch prescription for AF in participants with high self-efficacy in patient-physician interaction. 3. Efforts to improve self-efficacy in patient-physician interaction may improve patient activation and self-rated health and subsequently may lead to better clinical outcomes.
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spelling pubmed-98977572023-02-04 Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors Mehawej, Jordy Tran, Khanh-Van T. Filippaios, Andreas Paul, Tenes Abu, Hawa O. Ding, Eric Mishra, Ajay Dai, Qiying Hariri, Essa Howard Wilson, Sakeina Asaker, Jean-Claude Mathew, Joanne Naeem, Syed Mensah Otabil, Edith Soni, Apurv McManus, David D. Ann Med Cardiology & Cardiovascular Disorders BACKGROUND: Early detection of AF is critical for stroke prevention. Several commercially available smartwatches are FDA cleared for AF detection. However, little is known about how patient-physician relationships affect patients’ anxiety, activation, and health-related quality of life when prescribed smartwatch for AF detection. METHODS: Data were used from the Pulsewatch study (NCT03761394), which randomized adults (>50 years) with no contraindication to anticoagulation and a CHA(2)DS(2)-VASc risk score ≥2 to receive a smartwatch-smartphone app dyad for AF monitoring vs. conventional monitoring with an ECG patch (Cardea Solo(TM)) and monitored participants for up to 45 days. The Perceived Efficacy in Patient-Physician Interactions survey was used to assess patient confidence in physician interaction at baseline with scores ≥45 indicating high perceived efficacy in patient-provider interactions. Generalized Anxiety Disorder-7 Scale, Consumer Health Activation Index, and Short-Form Health Survey were utilized to examine anxiety, patient activation, and physical and mental health status, at baseline, 14, and 44 days, respectively. We used mixed-effects repeated measures linear regression models to assess changes in psychosocial outcomes among smartwatch users in relation to self-reported efficacy in physician interaction over the study period. RESULTS: A total of 93 participants (average age 64.1 ± 8.9 years; 43.0% female; 88.2% non-Hispanic white) were included in this analysis. At baseline, fifty-six (60%) participants reported high perceived efficacy in patient-physician interaction. In the fully adjusted models, high perceived efficacy (vs. low) at baseline was associated with greater patient activation and perceived mental health (β 12.0, p-value <0.001; β 3.39, p-value <0.05, respectively). High perceived self-efficacy was not associated with anxiety or physical health status (β − 0.61, p-value 0.46; β 0.64, p-value 0.77) among study participants. CONCLUSIONS: Higher self-efficacy in patient-physician interaction was associated with higher patient activation and mental health status among stroke survivors using smartwatches. Furthermore, we found no association between anxiety and smartwatch prescription for AF in participants with high self-efficacy in patient-physician interaction. Efforts to improve self-efficacy in patient-physician interaction may improve patient activation and self-rated health and subsequently may lead to better clinical outcomes. KEY MESSAGES: 1. Higher self-efficacy in patient-physician interaction was associated with higher patient activation and mental health status among stroke survivors using smartwatches. 2. No association between anxiety and smartwatch prescription for AF in participants with high self-efficacy in patient-physician interaction. 3. Efforts to improve self-efficacy in patient-physician interaction may improve patient activation and self-rated health and subsequently may lead to better clinical outcomes. Taylor & Francis 2023-02-01 /pmc/articles/PMC9897757/ /pubmed/36724401 http://dx.doi.org/10.1080/07853890.2022.2159516 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cardiology & Cardiovascular Disorders
Mehawej, Jordy
Tran, Khanh-Van T.
Filippaios, Andreas
Paul, Tenes
Abu, Hawa O.
Ding, Eric
Mishra, Ajay
Dai, Qiying
Hariri, Essa
Howard Wilson, Sakeina
Asaker, Jean-Claude
Mathew, Joanne
Naeem, Syed
Mensah Otabil, Edith
Soni, Apurv
McManus, David D.
Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
title Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
title_full Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
title_fullStr Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
title_full_unstemmed Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
title_short Self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
title_sort self-reported efficacy in patient-physician interaction in relation to anxiety, patient activation, and health-related quality of life among stroke survivors
topic Cardiology & Cardiovascular Disorders
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897757/
https://www.ncbi.nlm.nih.gov/pubmed/36724401
http://dx.doi.org/10.1080/07853890.2022.2159516
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