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

被引:11
作者
Mehawej, Jordy [1 ,5 ]
Tran, Khanh-Van T. [1 ]
Filippaios, Andreas [1 ]
Paul, Tenes [1 ]
Abu, Hawa O. O. [2 ]
Ding, Eric [3 ]
Mishra, Ajay [2 ]
Dai, Qiying [2 ]
Hariri, Essa [4 ]
Wilson, Sakeina Howard [2 ]
Asaker, Jean-Claude [1 ]
Mathew, Joanne [1 ]
Naeem, Syed [1 ]
Otabil, Edith Mensah [1 ]
Soni, Apurv [1 ]
McManus, David D. D. [1 ,3 ]
机构
[1] UMass Chan Med Sch, Dept Med, Worcester, MA USA
[2] St Vincent Hosp, Dept Med, Worcester, MA USA
[3] UMass Chan Med Sch, Dept Populat & Quantitat Hlth Sci, Worcester, MA USA
[4] Cleveland Clin, Dept Med, Cleveland, OH USA
[5] Univ Massachusetts, Chan Med Sch, Dept Med, 55 Lake Ave North, Worcester, MA 01655 USA
关键词
Atrial fibrillation; smartwatch; patient-physician interaction; anxiety; patient activation; health-related quality of life; ATRIAL-FIBRILLATION;
D O I
10.1080/07853890.2022.2159516
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 (beta 12.0, p-value beta 3.39, p-value <0.05, respectively). High perceived self-efficacy was not associated with anxiety or physical health status (beta - 0.61, p-value 0.46; beta 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 Higher self-efficacy in patient-physician interaction was associated with higher patient activation and mental health status among stroke survivors using smartwatches. 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.
引用
收藏
页码:526 / 532
页数:7
相关论文
共 18 条
[1]   Patient-Physician Role Relationships and Patient Activation among Individuals with Chronic Illness [J].
Alexander, Jeffrey A. ;
Hearld, Larry R. ;
Mittler, Jessica N. ;
Harvey, Jillian .
HEALTH SERVICES RESEARCH, 2012, 47 (03) :1201-1223
[2]   Worldwide Epidemiology of Atrial Fibrillation A Global Burden of Disease 2010 Study [J].
Chugh, Sumeet S. ;
Havmoeller, Rasmus ;
Narayanan, Kumar ;
Singh, David ;
Rienstra, Michiel ;
Benjamin, Emelia J. ;
Gillum, Richard F. ;
Kim, Young-Hoon ;
McAnulty, John H. ;
Zheng, Zhi-Jie ;
Forouzanfar, Mohammad H. ;
Naghavi, Mohsen ;
Mensah, George A. ;
Ezzati, Majid ;
Murray, Christopher J. L. .
CIRCULATION, 2014, 129 (08) :837-847
[3]   Usability of a smartwatch for atrial fibrillation detection in older adults after stroke [J].
Ding, Eric Y. ;
Castanedaavila, Maira ;
Tran, Khanh-Van ;
Mehawej, Jordy ;
Filippaios, Andreas ;
Paul, Tenes ;
Otabil, Edith Mensah ;
Noorishirazi, Kamran ;
Han, Dong ;
Saczynski, Jane S. ;
Barton, Bruce ;
Mazor, Kathleen M. ;
Chon, Ki ;
McManus, David D. .
CARDIOVASCULAR DIGITAL HEALTH JOURNAL, 2022, 3 (03) :126-135
[4]   The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation [J].
Doerr, Marcus ;
Nohturfft, Vivien ;
Brasier, Noe ;
Bosshard, Emil ;
Djurdjevic, Aleksandar ;
Gross, Stefan ;
Raichle, Christina J. ;
Rhinisperger, Mattias ;
Stoeckli, Raphael ;
Eckstein, Jens .
JACC-CLINICAL ELECTROPHYSIOLOGY, 2019, 5 (02) :199-208
[5]   Psychosocial measures in relation to smartwatch alerts for atrial fibrillation detection [J].
Filippaios, Andreas ;
Tran, Khanh-Van T. ;
Mehawej, Jordy ;
Ding, Eric ;
Paul, Tenes ;
Lessard, Darleen ;
Barton, Bruce ;
Lin, Honghuang ;
Naeem, Syed ;
Otabil, Edith Mensah ;
Noorishirazi, Kamran ;
Dai, Qiying ;
Sadiq, Hammad ;
Chon, Ki H. ;
Soni, Apurv ;
Saczynski, Jane ;
McManus, David D. .
CARDIOVASCULAR DIGITAL HEALTH JOURNAL, 2022, 3 (05) :198-200
[6]   Assessing the reliability of the short form 12 (SF-12) health survey in adults with mental health conditions: a report from the wellness incentive and navigation (WIN) study [J].
Huo, Tianyao ;
Guo, Yi ;
Shenkman, Elizabeth ;
Muller, Keith .
HEALTH AND QUALITY OF LIFE OUTCOMES, 2018, 16
[7]   Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study [J].
Lubitz, Steven A. ;
Faranesh, Anthony Z. ;
Atlas, Steven J. ;
McManus, David D. ;
Singer, Daniel E. ;
Pantelopoulos, Alexandros ;
Pagoto, Sherry ;
Foulkes, Andrea S. .
AMERICAN HEART JOURNAL, 2021, 238 :16-26
[8]   Perceived Efficacy in Patient-Physician Interactions (PEPPI): Validation of an instrument in older persons [J].
Maly, RC ;
Frank, JC ;
Marshall, GN ;
DiMatteo, MR ;
Reuben, DB .
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 1998, 46 (07) :889-894
[9]   Atrial fibrillation: the current epidemic [J].
Morillo, Carlos A. ;
Banerjee, Amitava ;
Perel, Pablo ;
Wood, David ;
Jouven, Xavier .
JOURNAL OF GERIATRIC CARDIOLOGY, 2017, 14 (03) :195-203
[10]   SEQUENCE-ANALYSIS OF 2 NEW MEMBERS OF THE MAJOR LATEX PROTEIN GENE FAMILY SUPPORTS THE TRIPLOID-HYBRID ORIGIN OF THE OPIUM POPPY [J].
NESSLER, CL .
GENE, 1994, 139 (02) :207-209