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Research ArticleORIGINAL RESEARCH
Open Access

Use of Web-Based Patient Portals in Patients With Atrial Fibrillation Is Associated With Higher Readmissions

Arthur P. Davis, Gibbs M. Wilson, John P. Erwin, Jeffrey B. Michel, Javier Banchs, Aasim Saeed and Robert J. Widmer
Ochsner Journal March 2021, 21 (1) 25-29; DOI: https://doi.org/10.31486/toj.19.0124
Arthur P. Davis
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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Gibbs M. Wilson
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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John P. Erwin III
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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Jeffrey B. Michel
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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Javier Banchs
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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Aasim Saeed
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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Robert J. Widmer
Department of Internal Medicine, Baylor Scott and White Medical Center, Temple, TX
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  • For correspondence: robert.widmer@bswhealth.org
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  • Figure 1.
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    Figure 1.

    One-way analysis of the number of logins to MyChart by hospital readmission. Readmitted patients had more frequent logins than nonreadmitted patients.

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    Figure 2.

    One-way analysis of average of total minutes of time logged in by hospital readmission. Analysis of the mean time spent per login to MyChart was similar for readmitted patients and nonreadmitted patients.

Tables

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    Table 1.

    Demographics, Comorbidities, and Readmissions of MyChart Users vs Non–MyChart Users (n=11,334)

    VariableMyChart Users n=5,702Non–MyChart Users n=5,632P Value
    Age, years, median [IQR]74 [66-82]77 [68-85]<0.0001
    Male2,954 (51.8)2,997 (53.2)0.13
    Race, white5,241 (91.9)4,765 (84.6)<0.0001
    Comorbidities
     Diabetes1,928 (33.8)1,994 (35.4)0.1
     Hypertension5,035 (88.3)4,844 (86.0)0.0002
     Major bleed985 (17.3)840 (14.9)0.0006
     Stroke/transient ischemic attack1,631 (28.6)1,662 (29.5)0.29
     Congestive heart failure2,692 (47.2)2,715 (48.2)0.27
     Renal disease2,418 (42.4)2,327 (41.3)0.23
     Liver disease314 (5.5)237 (4.2)0.0013
     Vascular disease1,312 (23.0)1,127 (20.0)<0.0001
    Hospital readmission within 1 year2,452 (43.0)1,803 (32.0)<0.0001
    • Note: Data are presented as n (%) unless otherwise indicated.

    • IQR, interquartile range.

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    Table 2.

    Multivariable Regression Analysis of Predictors of Readmission

    VariableOdds Ratio95% CIP Value
    Age, per year0.9950.991-0.9980.002
    Male1.261.17-1.38<0.0001
    Nonwhite race1.090.96-7.240.18
    Comorbidities
     Diabetes1.091.00-1.190.04
     Hypertension1.281.13-1.450.0001
     Major bleed1.100.99-1.230.07
     Stroke/transient ischemic attack1.070.99-1.170.10
     Congestive heart failure1.481.34-1.57<0.0001
     Renal disease1.040.96-1.130.49
     Liver disease1.000.84-1.200.99
     Vascular disease1.050.95-1.150.32
    MyChart account1.571.49-1.70<0.0001
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Ochsner Journal: 21 (1)
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Use of Web-Based Patient Portals in Patients With Atrial Fibrillation Is Associated With Higher Readmissions
Arthur P. Davis, Gibbs M. Wilson, John P. Erwin, Jeffrey B. Michel, Javier Banchs, Aasim Saeed, Robert J. Widmer
Ochsner Journal Mar 2021, 21 (1) 25-29; DOI: 10.31486/toj.19.0124

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Use of Web-Based Patient Portals in Patients With Atrial Fibrillation Is Associated With Higher Readmissions
Arthur P. Davis, Gibbs M. Wilson, John P. Erwin, Jeffrey B. Michel, Javier Banchs, Aasim Saeed, Robert J. Widmer
Ochsner Journal Mar 2021, 21 (1) 25-29; DOI: 10.31486/toj.19.0124
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Keywords

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