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Research ArticleOriginal Research

Barriers to Patient Portal Access and Use: Evidence from the Health Information National Trends Survey

Sherine El-Toukhy, Alejandra Méndez, Shavonne Collins and Eliseo J. Pérez-Stable
The Journal of the American Board of Family Medicine November 2020, 33 (6) 953-968; DOI: https://doi.org/10.3122/jabfm.2020.06.190402
Sherine El-Toukhy
From the Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD (SET); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (SET, AM); School of Medicine, Indiana University, Indianapolis (AM); School of Medicine, Emory University, Atlanta, GA (SC); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (EJPS); Office of the Director, National Institute on Minority Health and Health Disparities, Bethesda, MD (EJPS).
PhD, MA
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Alejandra Méndez
From the Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD (SET); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (SET, AM); School of Medicine, Indiana University, Indianapolis (AM); School of Medicine, Emory University, Atlanta, GA (SC); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (EJPS); Office of the Director, National Institute on Minority Health and Health Disparities, Bethesda, MD (EJPS).
MPH
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Shavonne Collins
From the Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD (SET); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (SET, AM); School of Medicine, Indiana University, Indianapolis (AM); School of Medicine, Emory University, Atlanta, GA (SC); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (EJPS); Office of the Director, National Institute on Minority Health and Health Disparities, Bethesda, MD (EJPS).
MD
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Eliseo J. Pérez-Stable
From the Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD (SET); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (SET, AM); School of Medicine, Indiana University, Indianapolis (AM); School of Medicine, Emory University, Atlanta, GA (SC); Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (EJPS); Office of the Director, National Institute on Minority Health and Health Disparities, Bethesda, MD (EJPS).
MD
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Article Figures & Data

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    Figure 1.

    Knowledge of patient portals content among 2151 participants in the 2017–2018 Health Information National Trends Survey 5, Cycles 1 and 2, US.

Tables

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    Table 1.

    Weighted Sample Characteristics of 6789 Participants in the 2017–2018 Health Information National Trends Survey 5, Cycles 1 and 2, US

    n% WeightedLLUL
    Gender
     Men275948.948.749.1
     Women403051.150.951.3
    Age, years
     18 to 39124830.628.732.4
     40 to 59239142.340.544.1
     ≥ 60315027.126.927.4
    Race/ethnicity
     Latino99515.815.516.2
     White429765.264.765.7
     Black92310.510.011.0
     Other*5748.48.28.7
    Annual household income
     < $20,000125417.315.918.8
     $20,000 to $49,999182926.124.527.7
     $50,000 to $74,999123718.517.020.0
     ≥ $75000247038.136.239.9
    Education
     < High school5048.87.610.0
     High school graduate127922.621.423.8
     Vocational school, some college204036.435.337.6
     College graduate, postgraduate296732.231.932.4
    Employment
     Employed342357.955.859.9
     Unemployed336642.140.144.2
    Marital status
     Single116930.230.030.5
     Married, living as married359553.953.154.7
     Separated, widowed202415.915.116.6
    Place of birth
     United States582685.584.486.5
     Foreign born96314.513.515.6
    Speak English
     Very well604288.387.289.3
     Well, not well, not at all74711.710.712.8
    Regular provider
     Yes484865.463.667.3
     No194134.632.736.4
    Health insurance
     Yes644191.691.591.7
     No3488.48.38.5
    General health
     Excellent/good563884.182.685.6
     Fair/poor115115.914.417.4
    Census region
     Northeast census region106517.917.917.9
     Midwest census region124921.021.021.0
     South census region289337.637.637.6
     West census region158223.523.523.5
    Rural/urban designation
     Metro586386.184.887.3
     Urban83412.411.213.7
     Rural921.51.02.0
    • LL, lower limit; UL, upper limit.

    • n = 6789; Imputed subjects have 20 records, thus imputed n is 1/20th of a subject rounded to the nearest integer.

    • ↵* Asians, Pacific Islanders, and multiple races.

    • View popup
    Table 2.

    Multivariate Logistic Regression Models of Associations between Patient Characteristics and Patient Portals Access and Use in the Health Information National Trends Survey 5, Cycles 1 and 2, US

    AccessFacilitators of UseUse Behavior
    Provider Maintains Medical Records, aOR (95% CI)Provider Offers Medical Records Access, aOR (95% CI)Provider Encourages Medical Record Use†, aOR (95% CI)Confident Medical Records Safe, aOR (95% CI)Access Own Medical Record, aOR (95% CI)Access Family Medical Record†, aOR (95% CI)
    Gender (ref: men)
     Women1.7 (1.4-2.0)1.7 (1.5-2.0)1.6 (1.3-2.0)1.2 (0.9-1.4)1.5 (1.2-1.8)1.6 (1.0-2.3)
    Age (ref: 18 to 39 years)
     40 to 59 years1.2 (0.9-1.6)0.9 (0.8-1.2)0.9 (0.7-1.3)0.9 (0.7-1.1)1.1 (0.9-1.4)0.9 (0.6-1.3)
     ≥ 60 years1.4 (1.0-1.8)0.8 (0.7-1.0)0.8 (0.6-1.0)1.0 (0.8-1.3)0.8 (0.6-0.9)0.7 (0.4-1.2)
    Race/ethnicity (ref: White)
     Latino1.2 (0.9-1.5)0.9 (0.7-1.1)0.8 (0.6-1.2)1.3 (0.9-1.8)0.9 (0.7-1.2)1.1 (0.7-1.8)
     Black1.2 (0.8-1.7)0.8 (0.7-1.0)1.0 (0.8-1.5)1.0 (0.8-1.4)0.9 (0.7-1.2)0.8 (0.4-1.6)
     Other*0.9 (0.5-1.4)0.8 (0.6-1.0)0.8 (0.6-1.2)0.9 (0.7-1.3)1.2 (0.9-1.7)1.2 (0.7-2.1)
    Education (ref: college/post grad)
     < High school0.5 (0.3-0.8)0.4 (0.3-0.7)0.5 (0.2-1.0)1.4 (0.9-2.1)0.3 (0.2-0.5)0.7 (0.3-1.7)
     High school grad0.6 (0.4-0.7)0.6 (0.4-0.7)0.4 (0.3-0.6)1.0 (0.8-1.4)0.4 (0.3-0.5)0.3 (0.1-0.5)
     Vocational, some college0.6 (0.5-0.8)0.6 (0.5-0.8)0.6 (0.5-0.8)1.2 (0.9-1.5)0.5 (0.4-0.7)0.5 (0.4-0.8)
    Marital status (ref: married, living as married)
     Single0.6 (0.4-0.8)0.5 (0.4-0.6)0.4 (0.3-0.6)1.0 (0.8-1.3)0.6 (0.5-0.8)0.2 (0.1-0.6)
     Separated, widowed0.7 (0.5-0.9)0.6 (0.5-0.7)0.6 (0.5-0.8)1.0 (0.9-1.3)0.6 (0.5-0.7)0.4 (0.2-0.8)
    Speak English (ref: very well)
     Well, not well, not at all0.7 (0.5-0.9)0.6 (0.4-0.8)0.8 (0.5-1.2)0.8 (0.6-1.1)0.7 (0.5-0.9)1.2 (0.7-2.2)
    Health insurance (ref: yes)
     No0.5 (0.3-0.9)0.5 (0.3-0.8)0.7 (0.3-1.5)0.9 (0.5-1.4)0.4 (0.2-0.7)0.8 (0.3-2.3)
    Regular provider (ref: yes)
     No0.3 (0.2-0.4)0.4 (0.4-0.5)0.5 (0.4-0.6)0.7 (0.6-0.9)0.4 (0.3-0.5)0.6 (0.4-0.9)
    General health (ref: excellent/good)
     Fair/poor0.9 (0.7-1.1)0.9 (0.8-1.2)1.0 (0.8-1.4)0.7 (0.5-0.9)0.9 (0.7-1.1)1.0 (0.6-1.6)
    Census region (ref: Northeast)
     Midwest0.8 (0.6-1.2)0.9 (0.7-1.3)1.0 (0.7-1.7)1.2 (0.9-1.6)1.2 (0.9-1.7)1.1 (0.6-2.1)
     South0.7 (0.5-0.9)0.8 (0.6-1.0)0.9 (0.7-1.5)1.1 (0.9-1.4)1.0 (0.8-1.4)1.2 (0.7-2.1)
     West0.8 (0.6-1.1)0.9 (0.6-1.1)1.1 (0.8-1.7)0.9 (0.7-1.2)1.3 (0.9-1.7)1.5 (0.9-2.6)
    Rural/urban designation (ref: metro)
     Urban1.0 (0.7-1.5)0.7 (0.5-0.9)0.6 (0.4-0.9)1.0 (0.8-1.4)0.6 (0.4-0.8)0.9 (0.5-1.9)
     Rural0.7 (0.3-1.5)0.6 (0.3-1.2)0.6 (0.2-1.6)0.9 (0.4-2.1)0.7 (0.4-1.4)0.5 (0.01-30.3)
    • aOR, adjusted odds ratio; CI, confidence interval.

    • n = 6789.

    • ↵* Asians, Pacific Islanders, and multiple races.

    • ↵† Question was omitted in 2018 H5C2, so n = 3285 based on H5C1 only.

    • Bolded cells are statistically meaningful.

    • Participants in H5C2 were asked the number of times that they accessed their own medical records only if they responded “yes” to whether they have been offered online access to medical records. Participants then reported who offered them access (i.e., healthcare provider, health insurer, someone else). To harmonize the data, we coded participants who said “no/don’t know” to “have you been offered online access to your medical records?” as “no” and those who selected “healthcare provider” to “who offered you online access to your medical records?” as “yes.”

    • Logistic regression analysis modeled the probability of 1 (eg, provider maintained electronic medical records, provider offered access to electronic medical records).

    • View popup
    Table 3.

    Multivariate Logistic Regression Models of Associations between Patient Characteristics and Use of Patient Portals Functionalities in the 2017–2018 Health Information National Trends Survey 5, Cycles 1 and 2, US

    View Results,† aOR (95% CI)Message Healthcare Provider, aOR (95% CI)Make Appointment,† aOR (95% CI)Refill Medication, aOR (95% CI)Complete Forms, aOR (95% CI)
    Gender (ref: men)
     Women1.1 (0.6-2.0)0.9 (0.7-1.2)0.8 (0.5-1.2)0.9 (0.7-1.2)1.0 (0.8-1.4)
    Age (ref: 18 to 39 years)
     40 to 59 years1.3 (0.7-2.3)0.8 (0.5-1.1)0.9 (0.5-1.5)1.1 (0.7-1.7)1.0 (0.7-1.6)
     ≥60 years0.7 (0.4-1.4)0.7 (0.5-0.9)0.8 (0.4-1.3)1.7 (1.1-2.5)0.8 (0.5-1.0)
    Race/ethnicity (ref: White)
     Latino0.5 (0.3-1.0)0.8 (0.5-1.2)1.0 (0.5-2.1)0.9 (0.7-1.4)0.9 (0.6-1.5)
     Black0.8 (0.4-1.8)1.0 (0.7-1.6)1.6 (0.8-3.0)1.0 (0.7-1.7)0.7 (0.4-1.0)
     Other*0.8 (0.3-1.9)0.7 (0.4-1.3)1.5 (0.8-2.5)1.2 (0.7-1.9)0.7 (0.4-1.0)
    Education (ref: college/post grad)
     <High school1.7 (0.4-6.5)1.0 (0.3-2.9)0.2 (0.04-1.0)1.7 (0.6-5.0)0.3 (0.1-0.9)
     High school grad0.9 (0.3-2.7)1.0 (0.7-1.5)1.1 (0.6-2.1)0.9 (0.7-1.4)0.6 (0.4-0.8)
     Vocational, some college1.1 (0.6-2.1)1.0 (0.8-1.4)0.9 (0.6-1.4)1.0 (0.7-1.4)0.7 (0.5-0.9)
    Marital status (ref: married, living as married)
     Single0.8 (0.4-1.7)1.3 (0.9-2.0)1.4 (0.8-2.5)1.3 (0.9-1.9)1.3 (0.9-1.9)
     Separated, widowed0.9 (0.4-1.8)0.9 (0.6-1.3)0.9 (0.6-1.6)0.9 (0.7-1.3)0.9 (0.7-1.3)
    Speak English (ref: very well)
     Well, not well, not at all0.8 (0.3-1.8)0.8 (0.4-1.3)1.4 (0.6-3.3)0.5 (0.3-0.9)0.7 (0.3-1.3)
    Health insurance (ref: yes)
     No0.6 (0.1-5.7)0.9 (0.4-2.5)0.9 (0.2-4.5)0.6 (0.2-1.9)0.6 (0.1-2.2)
    Regular provider (ref: yes)
     No0.8 (0.4-1.6)0.7 (0.5-0.9)1.0 (0.6-1.9)0.8 (0.5-1.2)0.8 (0.6-1.1)
    General health (ref: excellent/good)
     Fair/poor1.1 (0.5-2.7)1.3 (0.8-1.9)1.1 (0.7-1.9)1.6 (1.1-2.3)1.4 (0.9-2.1)
    Census region (ref: Northeast)
     Midwest0.7 (0.3-1.7)1.0 (0.7-1.6)0.9 (0.5-1.8)0.7 (0.5-1.1)1.2 (0.7-2.1)
     South1.2 (0.6-2.3)1.0 (0.8-1.5)1.5 (0.8-2.9)0.9 (0.7-1.4)1.8 (1.2-2.7)
     West2.8 (1.3-6.3)2.5 (1.7-3.9)3.5 (1.8-6.8)1.5 (0.9-2.2)1.6 (1.0-2.5)
    Rural/urban designation (ref: metro)
     Urban1.0 (0.4-2.6)0.9 (0.6-1.7)1.3 (0.7-2.5)1.0 (0.7-1.6)0.7 (0.4-1.2)
     Rural1.9 (0.1-54.8)0.8 (0.3-2.6)2.4 (0.5-12.4)1.8 (0.5-6.4)1.4 (0.4-4.6)
    Monitor health†Make decisionsAdd informationDownload informationRequest correction
    aOR (95% CI)aOR (95% CI)aOR (95% CI)aOR (95% CI)aOR (95% CI)
    Gender (ref: men)
     Women0.7 (0.5-1.1)0.8 (0.6-1.2)1.0 (0.8-1.4)0.8 (0.5-1.1)1.4 (0.8-2.3)
    Age (ref: 18 to 39 years)
     40 to 59 years0.9 (0.6-1.7)0.7 (0.5-1.0)1.1 (0.8-1.7)0.8 (0.5-1.0)0.8 (0.4-1.6)
     ≥60 years0.7 (0.4-1.2)0.5 (0.3-0.8)0.9 (0.6-1.4)0.6 (0.4-0.9)0.7 (0.3-1.7)
    Race/ethnicity (ref: White)
     Latino0.9 (0.4-2.1)1.0 (0.6-1.8)1.0 (0.7-1.8)1.0 (0.7-1.7)1.2 (0.6-2.6)
     Black1.6 (0.8-3.2)1.7 (1.0-2.9)1.0 (0.7-1.8)1.1 (0.7-1.9)1.6 (0.8-3.0)
     Other*1.2 (0.6-2.4)1.0 (0.6-1.9)0.7 (0.4-1.4)0.9 (0.6-1.7)0.9 (0.4-2.1)
    Education (ref: college/post grad)
     <High school0.7 (0.1-4.4)0.4 (0.2-0.9)0.5 (0.2-1.2)0.3 (0.1-0.8)1.2 (0.3-4.6)
     High school grad0.9 (0.4-1.7)0.9 (0.5-1.5)0.9 (0.6-1.5)0.5 (0.2-1.0)0.6 (0.3-1.5)
     Vocational, some college0.8 (0.5-1.2)0.8 (0.6-1.2)0.8 (0.6-1.2)0.9 (0.6-1.3)0.9 (0.6-1.6)
    Marital status (ref: married, living as married)
     Single0.9 (0.5-1.8)0.9 (0.6-1.4)1.5 (0.9-2.2)0.9 (0.5-1.6)1.2 (0.6-2.4)
     Separated, widowed0.7 (0.4-1.3)0.8 (0.5-1.2)0.9 (0.7-1.3)1.3 (0.8-1.9)1.6 (0.8-3.2)
    Speak English (ref: very well)
     Well, not well, not at all1.2 (0.4-3.5)1.1 (0.6-2.2)0.9 (0.4-1.7)1.6 (0.8-3.2)2.2 (0.9-5.2)
    Health insurance (ref: yes)
     No0.5 (0.05-4.3)1.1 (0.3-4.6)0.8 (0.2-4.0)0.7 (0.2-3.0)0.7 (0.02-22.2)
    Regular provider (ref: yes)
     No0.6 (0.4-1.2)0.7 (0.5-1.1)0.7 (0.5-1.0)1.0 (0.7-1.5)0.9 (0.5-1.7)
    General health (ref: excellent/good)
     Fair/poor0.9 (0.5-1.7)1.5 (0.8-2.7)1.3 (0.9-2.0)1.2 (0.7-2.1)1.7 (0.9-3.2)
    Census region (ref: Northeast)
     Midwest1.9 (0.9-3.5)1.0 (0.6-1.9)1.6 (0.9-2.6)0.9 (0.5-1.9)1.3 (0.6-3.0)
     South1.5 (0.9-2.6)0.9 (0.6-1.5)1.8 (1.0-3.1)1.3 (0.8-2.1)1.3 (0.7-2.7)
     West1.8 (0.9-3.4)1.5 (0.9-2.5)2.4 (1.4-4.2)1.1 (0.7-1.9)1.9 (0.9-3.9)
    Rural/ Urban designation (ref: metro)
     Urban1.6 (0.9-3.0)0.9 (0.5-1.7)1.1 (0.7-2.0)1.7 (0.9-2.8)1.1 (0.4-2.8)
     Rural2.0 (0.3-10.9)1.2 (0.2-7.7)2.2 (0.6-8.7)3.9 (1.2-12.8)3.0 (0.1-70.1)
    • aOR, adjusted odds ratio; CI, confidence interval.

    • n = 2,151 reflects those who accessed their own medical records one or more times in the past 12 months.

    • ↵* Asians, Pacific Islanders, and multiple races.

    • ↵† Question was omitted in 2018 H5C2, so n = 1033 (those who accessed their own medical records one or more times in the past 12 months based on H5C1 only).

    • Bolded cells are statistically meaningful.

    • Logistic regression analysis modeled the probability of 1 (e.g., patient viewed results, patient messaged healthcare provider).

  • Appendix Table 1: Multivariate Logistic Regression Models of Associations between Patient Characteristics, Internet Access, and Electronic Device Ownership, and Use of Personal and Family Patient Portals in the 2017–2018 Health Information National Trends Survey 5, Cycles 1 and 2, US

    Access Own Medical Record, aOR (95% CI)Access Family Medical Record, aOR (95% CI)
    Gender (ref: men)
     Women1.5 (1.2-1.8)1.6 (1.0-2.3)
    Age (ref: 18 to 39 years)
     40 to 59 years1.1 (0.9-1.4)0.9 (0.6-1.4)
     ≥ 60 years1.1 (0.9-1.5)0.9 (0.5-1.6)
    Race/ethnicity (ref: White)
     Latino0.9 (0.7-1.2)1.1 (0.7-1.9)
     Black0.9 (0.7-1.2)0.8 (0.4-1.5)
     Other*1.2 (0.9-1.7)1.2 (0.7-2.0)
    Education (ref: college/post grad)
     < High school0.5 (0.3-0.9)0.8 (0.3-2.2)
     High school grad0.5 (0.4-0.7)0.3 (0.2-0.6)
     Vocational, some college0.6 (0.5-0.7)0.5 (0.4-0.8)
    Marital status (ref: married, living as married)
     Single0.7 (0.5-0.9)0.2 (0.1-0.6)
     Separated, widowed0.8 (0.6-0.9)0.5 (0.3-0.9)
    Speak English (ref: very well)
     Well, not well, not at all0.8 (0.6-1.1)1.3 (0.6-2.4)
    Health insurance (ref: yes)
    No0.4 (0.2-0.7)0.9 (0.3-2.5)
    Regular provider (ref: yes)
     No0.4 (0.3-0.5)0.6 (0.4-0.9)
    General health (ref: excellent/good)
     Fair/poor1.0 (0.8-1.3)1.1 (0.7-1.8)
    Census region (ref: Northeast)
     Midwest1.3 (0.9-1.8)1.2 (0.6-2.2)
     South1.0 (0.8-1.4)1.2 (0.7-2.1)
     West1.2 (0.9-1.6)1.4 (0.8-2.5)
    Rural/urban designation (ref: metro)
     Urban0.6 (0.4-0.8)0.9 (0.5-2.1)
     Rural0.7 (0.3-1.5)0.5 (0.01-29.3)
    Dial-up (ref: yes)
     No1.7 (0.7-4.1)1.0 (0.2-4.5)
     Not ascertained†0.6 (0.2-1.5)1.0 (0.2-4.5)
    Broadband (ref: yes)
     No0.7 (0.6-0.8)0.7 (0.5-1.0)
    Cell network (ref: yes)
     No1.2 (1.0-1.5)0.9 (0.7-1.4)
    Wi-Fi (ref: yes)
    No0.7 (0.6-0.9)0.8 (0.5-1.3)
    Tablet (ref: yes)
     No0.6 (0.5-0.7)0.8 (0.5-1.3)
    Smartphone (ref: yes)
     No0.5 (0.4-0.6)0.6 (0.3-1.2)
    • aOR, adjusted odds ratio; CI, confidence interval.

    • n = 6789 for access own medical records and n = 3285 for access family medical records.

    • ↵* Asians, Pacific Islanders, and multiple races.

    • Among those who responded yes to “Do you ever go online to access the Internet or World Wide Web, or to send and receive email?” any internet use was at 82.0% (n = 5280; 95% CI, 80.6-83.3) with dial-up access at 2.3% (n = 140; 95% CI, 1.7-3.0), broadband access at 52.5% (n = 2749; 95% CI, 50.2-54.9), cell network at 66.2% (n = 3099; 95% CI, 64.3-68.1), and Wi-Fi access at 82.1% (n = 4178; 95% CI, 80.5-83.6).

    • Any electronic device ownership was at 98.0% (n = 6656; 95% CI, 97.5-98.4) with tablet ownership at 59.8% (n = 3894; 95% CI, 57.7-61.8), smartphone ownership at 79.5% (n = 5008; 95% CI, 78.2-80.8), and cellphone ownership at 15.5% (n = 1317; 95% CI, 14.1-16.8).

    • † “Not ascertained” (n = 750) were those who reported no internet access and, thus, were not asked questions about means to access the internet via dial up, broadband, cell network, Wi-Fi.

    • Table includes odds ratio for “not ascertained dial up” only because SAS calculates the first odds ratio for a group of linearly related outcomes, which is the case for “not ascertained” for dial-up, broadband, cell network, and Wi-Fi.

    • Bolded cells are statistically meaningful.

    • Logistic regression analysis modeled the probability of 1 (e.g., patient accessed their own medical records).

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The Journal of the American Board of Family     Medicine: 33 (6)
The Journal of the American Board of Family Medicine
Vol. 33, Issue 6
November-December 2020
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Barriers to Patient Portal Access and Use: Evidence from the Health Information National Trends Survey
Sherine El-Toukhy, Alejandra Méndez, Shavonne Collins, Eliseo J. Pérez-Stable
The Journal of the American Board of Family Medicine Nov 2020, 33 (6) 953-968; DOI: 10.3122/jabfm.2020.06.190402

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Barriers to Patient Portal Access and Use: Evidence from the Health Information National Trends Survey
Sherine El-Toukhy, Alejandra Méndez, Shavonne Collins, Eliseo J. Pérez-Stable
The Journal of the American Board of Family Medicine Nov 2020, 33 (6) 953-968; DOI: 10.3122/jabfm.2020.06.190402
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