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Research ArticleOriginal Research

Patterns of Electronic Portal Use among Vulnerable Patients in a Nationwide Practice-based Research Network: From the OCHIN Practice-based Research Network (PBRN)

Lorraine S. Wallace, Heather Angier, Nathalie Huguet, James A. Gaudino, Alex Krist, Marla Dearing, Marie Killerby, Miguel Marino and Jennifer E. DeVoe
The Journal of the American Board of Family Medicine September 2016, 29 (5) 592-603; DOI: https://doi.org/10.3122/jabfm.2016.05.160046
Lorraine S. Wallace
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
PhD
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Heather Angier
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
MPH
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Nathalie Huguet
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
PhD
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James A. Gaudino
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
MD, MPH, MS
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Alex Krist
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
MPH
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Marla Dearing
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
MPH
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Marie Killerby
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
MPH
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Miguel Marino
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
PhD
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Jennifer E. DeVoe
From the Department of Biomedical Education and Anatomy, The Ohio State University, Columbus, OH (LSW); the Oregon Health & Science University (HA, NH, JAG, MK, MM, JED); the Virginia Commonwealth University (AK); and OCHIN, Portland, OR (MD).
MD, DPhil
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Article Figures & Data

Tables

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    Table 1.

    Baseline Patient Sociodemographic Characteristics of OCHIN Community Network Adults ≥18 Years of Age Who Were Issued a MyChart Access Code

    Sociodemographic characteristicsPatient Logins
    Refused or Never Logged in12–23≥24
    Total patients26,204 (71.7)1,724 (4.7)6,557 (17.9)2,604 (5.7)
    Sex
        Female†15,965 (60.9)1,114 (64.6)4,242 (64.7)1,399 (67.8)
        Male‡10,239 (39.1)610 (35.4)2,315 (35.3)665 (32.2)
    Age (years)
        18–295,783 (22.1)342 (19.8)1,147 (17.5)336 (16.3)
        30–394,721 (18.0)345 (20.0)1,231 (18.8)377 (18.3)
        40–494,616 (17.6)341 (19.8)1,170 (17.8)348 (16.9)
        50–647,391 (28.2)499 (28.9)2,069 (31.6)709 (34.4)
        65–742,361 (9.0)149 (8.6)737 (11.2)229 (11.1)
        ≥751,332 (5.1)48 (2.8)203 (3.1)65 (3.1)
    Race
        White22,241 (84.9)1,554 (90.1)6,066 (92.5)1,960 (95)
        Nonwhite3,084 (11.8)129 (7.5)361 (5.5)78 (3.8)
        Unknown879 (3.4)41 (2.4)130 (2.0)26 (1.3)
    Ethnicity
        Non-Hispanic21,451 (81.9)1,557 (90.3)6,045 (92.2)1,930 (93.5)
        Hispanic3,825 (14.6)114 (6.6)369 (5.6)98 (4.7)
        Unknown928 (3.5)53 (3.1)143 (2.2)36 (1.7)
    Health Insurance
        Private6,035 (23)586 (34)2,283 (34.8)506 (24.5)
        Public11,120 (42.4)590 (34.2)2,248 (34.3)945 (45.8)
        Uninsured8,973 (34.2)542 (31.4)2015 (30.7)612 (29.7)
        Unknown76 (0.3)6 (0.3)11 (0.2)1 (0.0)
    Number of primary care visits during study period
        01,286 (4.9)62 (3.6)148 (2.3)5 (0.2)
        15,615 (21.4)301 (17.5)888 (13.5)55 (2.7)
        24,317 (16.5)317 (18.4)1,230 (18.8)143 (6.9)
        3 or 45,836 (22.3)410 (23.8)1,834 (28.0)406 (19.7)
        5–85,569 (21.3)374 (21.7)1,614 (24.6)744 (36.0)
        >83,581 (13.7)260 (15.1)843 (12.9)711 (34.4)
    Household income
        <100% FPL9,940 (37.9)529 (30.7)1942 (29.6)724 (35.1)
        100–199% FPL3,624 (13.8)226 (13.1)1042 (15.9)391 (18.9)
        200–399% FPL869 (3.3)115 (6.7)469 (7.2)147 (7.1)
        ≥400% FPL2,022 (7.7)176 (10.2)850 (13)224 (10.9)
        Unknown9,749 (37.2)678 (39.3)2,254 (34.4)578 (28.0)
    Preferred language
        English23,161 (88.4)1,658 (96.2)6,390 (97.5)2,019 (97.8)
        Other882 (3.4)39 (2.3)96 (1.5)32 (1.6)
        Spanish2161 (8.2)27 (1.6)71 (1.1)13 (0.6)
    Number of chronic conditions§
        015,669 (59.8)1,058 (61.4)3,844 (58.6)888 (43.0)
        16,420 (24.5)441 (25.6)1759 (26.8)664 (32.2)
        ≥24,115 (15.7)225 (13.1)954 (14.5)512 (24.8)
    • Data are n (%).

    • All comparisons within groups using χ2 test were significant at P < .001.

    • ↵† Includes male-to-female transgender patients.

    • ↵‡ Includes female-to-male transgender patients.

    • ↵§ Across all entire sample, the most common chronic diseases were chronic pulmonary disease, diabetes without chronic complications, and mild liver disease.

    • FPL, federal poverty level.

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    Table 2.

    Adjusted Relative Risk of Using MyChart Once, 2 to 23 Times, and ≥24 Times, by Patient Sociodemographic Characteristics

    Sociodemographic CharacteristicsRisk Ratio (95% Confidence Interval)
    Logged in Once (n = 1,724)Logged in 2–23 Times (n = 6,557)Logged in ≥24 Times (n = 2,604)
    Sex
        Female*1.001.001.00
        Male†0.81 (0.69–0.96)0.81 (0.72–0.91)0.80 (0.72–0.90)
    Age group (years)
        18–291.001.001.00
        30–391.23 (1.00–1.53)1.29 (1.16–1.43)1.21 (1.01–1.46)
        40–491.21 (0.96–1.54)1.20 (1.05–1.39)1.01 (0.77–1.31)
        50–641.04 (0.79–1.36)1.22 (1.04–1.44)1.09 (0.87–1.38)
        65–741.10 (0.72–1.68)1.65 (1.21–2.24)1.17 (0.87–1.57)
        ≥750.64 (0.35–1.17)0.85 (0.56–1.27)0.52 (0.34–0.81)
    Race
        White1.001.001.00
        Nonwhite0.61 (0.38–0.99)0.45 (0.27–0.75)0.25 (0.15–0.43)
        Unknown0.93 (0.56–1.56)1.02 (0.70–1.48)0.86 (0.57–1.29)
    Ethnicity
        Non-Hispanic1.001.001.00
        Hispanic0.68 (0.50–0.94)0.61 (0.44–0.84)0.51 (0.35–0.74)
        Unknown0.89 (0.60–1.30)0.66 (0.53–0.83)0.71 (0.42–1.21)
    Health insurance
        Private1.001.001.00
        Public0.64 (0.53–0.77)0.56 (0.45–0.70)0.76 (0.60–0.98)
        Uninsured0.81 (0.66–1.00)0.80 (0.67–0.96)1.01 (0.78–1.31)
        Unknown1.33 (0.66–2.69)1.04 (0.40–2.67)4.12 (0.36–47.1)
    Number of primary care visits during study period
        01.001.001.00
        11.09 (0.69–1.72)1.2 (0.79–1.84)2.60 (1.18–5.76)
        21.54 (0.98–2.42)2.19 (1.42–3.38)8.78 (4.04–19.1)
        3 or 41.60 (1.02–2.49)2.60 (1.64–4.13)19.3 (9.06–41.1)
        5–81.68 (1.07–2.63)2.64 (1.64–4.25)39.1 (18.3–83.5)
        >81.94 (1.17–3.20)2.31 (1.34–3.99)59.4 (26.9–131.3)
    Household income
        <100% FPL1.001.001.00
        100–199% FPL1.05 (0.90–1.22)1.22 (1.10–1.36)1.50 (1.34–1.68)
        200–399% FPL1.90 (1.48–2.44)1.89 (1.59–2.23)2.62 (2.05–3.35)
        ≥400% FPL1.39 (1.08–1.79)1.68 (1.39–2.02)1.64 (1.29–2.08)
        Unknown1.13 (0.91–1.41)0.94 (0.70–1.27)0.94 (0.62–1.45)
    Language
        English1.001.001.00
        Other0.79 (0.48–1.31)0.60 (0.36–0.99)0.82 (0.45–1.48)
        Spanish0.23 (0.12–0.43)0.17 (0.090–0.31)0.10 (0.038–0.28)
    Number of chronic conditions
        01.001.001.00
        10.99 (0.90–1.10)1.02 (0.90–1.16)1.26 (1.07–1.48)
        ≥20.82 (0.64–1.05)0.86 (0.71–1.05)1.16 (0.86–1.57)
    • These are risk ratios, not odds ratios. We fit a maximum-likelihood multinomial logit model to estimate probability of (1) having no MyChart use, (2) logging in once on MyChart, or (3) logging in more than once on MyChart. The risk ratio is then the ratio of 2 probabilities conditional on the covariate of interest. This multinomial model included all covariates included in the table, and the risk ratios are all in reference to “no MyChart use.” Models accounted for clustering of patients within service areas by including robust clustered sandwich estimators of variance to estimate rate ratio confidence intervals. The bold values are statistically significant at P < .05.

    • ↵* Includes male-to-female transgender patients.

    • ↵† Includes female-to-male transgender patients.

    • FPL, federal poverty level.

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    Table 3.

    MyChart Activity as a Function of Login Group

    Activity, Mean (Minimum, Maximum)
    Logged in OnceLogged in 2–23 TimesLogged in ≥24 Times
    Viewing activities
        Test results0.44 (0, 12)3.17 (0, 22)12.30 (0, 122)
        Medications0.53 (0, 10)2.58 (0, 19)9.51 (0, 148)
        Allergies0.51 (0, 6)2.35 (0, 15)7.29 (0, 57)
        Current health issues0.49 (0, 2)2.14 (0, 15)6.01 (0, 56)
        Print wallet card0.03 (0, 1)0.14 (0, 5)0.52 (0, 14)
        Immunizations0.52 (0, 6)2.36 (0, 15)7.13 (0, 56)
        Preventive care0.30 (0, 11)1.86 (0, 16)6.88 (0, 58)
        Medical history0.23 (0, 2)0.93 (0, 13)2.70 (0, 55)
        My conditions0.52, (0, 6)2.44 (0, 15)7.63 (0, 58)
        Letters0.12 (0, 2)0.58 (0, 11)2.20 (0, 97)
        After-visit summary0.06 (0, 1)0.44 (0, 10)2.00 (0, 69)
        Upcoming appointments0.13 (0, 10)1.32 (0, 16)7.68 (0, 146)
        All viewing activities3.89 (0, 64)20.30 (0, 133)71.86 (0, 547)
    Online requests or services
        Request a refill0.03 (0, 2)0.36 (0, 13)2.77 (0, 82)
        Request or cancel an appointment0.09 (0, 3)1.00 (0, 14)5.99 (0, 96)
        Update demographics (address, phone, E-mail)0.03 (0, 1)0.19 (0, 7)0.75 (0, 13)
        Download summary record0.03 (0, 1)0.09 (0, 4)0,21 (0, 12)
        All online activities0.19 (0, 4)1.64 (0, 17)9.73 (0, 116)
    Communication activities
        Communicating with health care team0.14 (0, 3)1.34 (0, 16)9.46 (0, 147)
        Nonurgent medical question0.05 (0, 2)0.64 (0, 13)5.31 (0, 113)
        Prescription question0.01 (0, 2)0.16 (0, 8)1.17 (0, 23)
        Test results question<0.01 (0, 2)0.08 (0, 4)0.31 (0, 9)
        Visit follow-up question<0.01 (0, 1)0.09 (0, 8)0.57 (0, 28)
        All communicating activities0.22 (0, 5)2.32 (0, 29)16.83 (0, 258)
    • View popup
    Table 4.

    Adjusted Incidence Rates for MyChart Activities by Patient Sociodemographic Characteristics

    Sociodemographic CharacteristicsIncidence Rate Ratios (95% CIs)
    RequestingViewingCommunicating
    Sex
        Female1.001.001.00
        Male0.99 (0.93–1.05)0.93 (0.88–0.98)0.97 (0.88–1.08)
    Age group (years)
        18–291.001.001.00
        30–390.98 (0.87–1.11)0.99 (0.89–1.10)1.12 (0.97–1.28)
        40–491.00 (0.91–1.10)0.98 (0.91–1.07)1.22 (1.11–1.35)
        50–641.03 (0.93–1.15)0.94 (0.89–0.99)1.31 (1.15–1.48)
        65–740.78 (0.67–0.91)0.82 (0.74–0.90)1.25 (1.04–1.49)
        ≥750.70 (0.57–0.86)0.79 (0.67–0.94)0.98 (0.77–1.25)
    Race
        White1.001.001.00
        Nonwhite0.94 (0.79–1.11)0.94 (0.81–1.10)0.69 (0.60–0.79)
        Unknown0.96 (0.82–1.11)1.05 (0.87–1.25)0.8 (0.59–1.09)
    Ethnicity
        Non-Hispanic1.001.001.00
        Hispanic1.00 (0.88–1.13)0.97 (0.89–1.05)0.78 (0.67–0.91)
        Unknown0.68 (0.56–0.84)0.85 (0.69–1.05)1.23 (0.88–1.71)
    Health insurance
        Private1.001.001.00
        Public1.33 (1.20–1.47)1.16 (1.08–1.25)1.23 (1.11–1.35)
        Uninsured1.23 (1.08–1.40)1.13 (1.05–1.23)1.13 (0.99–1.28)
        Unknown2.2 (0.81–5.97)1.77 (0.84–3.72)0.69 (0.25–1.87)
    Number of primary care visits during study period
        01.001.001.00
        11.35 (0.87–2.08)0.99 (0.78–1.25)0.86 (0.37–2.01)
        21.69 (1.05–2.71)1.24 (0.99–1.54)1.11 (0.48–2.57)
        3 or 42.37 (1.62–3.46)1.53 (1.26–1.87)1.33 (0.61–2.90)
        5–83.33 (2.23–4.97)2.05 (1.66–2.52)1.87 (0.87–4.03)
        >84.91 (3.26–7.40)2.59 (2.12–3.17)2.69 (1.22–5.92)
    Household income
         <100% FPL1.001.001.00
        100–199% FPL1.07 (0.98–1.17)0.99 (0.94–1.05)1.07 (0.96–1.19)
        200–399% FPL1.18 (0.97–1.44)1.02 (0.90–1.16)1.24 (1.00–1.53)
        ≥400% FPL1.00 (0.89–1.14)1.04 (0.94–1.15)1.00 (0.91–1.10)
        Unknown0.96 (0.78–1.17)0.95 (0.82–1.10)0.98 (0.79–1.22)
    Preferred language
        English1.001.001.00
        Spanish1.03 (0.81–1.33)1.01 (0.81–1.26)0.8 (0.56–1.14)
        Other1.04 (0.82–1.33)1.09 (0.93–1.29)1.13 (0.94–1.36)
    Number of chronic conditions
        01.001.001.00
        11.13 (1.02–1.26)1.14 (1.08–1.21)1.09 (1.02–1.16)
        ≥21.19 (1.08–1.31)1.20 (1.09–1.32)1.10 (1.00–1.21)
    • Only patients who logged into MyChart were included in these models. These are incidence rate ratios, not odds ratios. We fit a separate zero-inflated maximum-likelihood Poisson model to estimate the number of each of the 3 activities. Models accounted for clustering of patients within service areas by including robust clustered sandwich estimators of variance to estimate rate ratio confidence intervals. Bold values are statistically significant at P < .05.

    • CI, confidence interval; FPL, federal poverty level.

  • Patient Sociodemographic Characteristics Associated with Odds of Not Performing Each MyChart Activity

    Sociodemographic CharacteristicsOdds Ratio (95% Confidence Interval)
    RequestingViewingCommunicating
    Sex
        Female1.001.001.00
        Male1.21 (1.10–1.32)1.24 (1.12–1.38)1.22 (1.12–1.34)
    Age group (years)
        18–291.001.001.00
        30–390.81 (0.74–0.88)0.80 (0.73–0.88)0.74 (0.67–0.83)
        40–490.87 (0.77–0.99)0.87 (0.77–0.99)0.81 (0.71–0.93)
        50–640.86 (0.74–0.99)0.86 (0.73–1.01)0.78 (0.68–0.91)
        65–740.72 (0.58–0.88)0.69 (0.53–0.90)0.68 (0.53–0.88)
        ≥751.34 (0.98–1.83)1.35 (0.93–1.94)1.29 (0.90–1.84)
    Race
        White1.001.001.00
        Nonwhite2.37 (1.47–3.83)2.40 (1.51–3.81)2.41 (1.46–3.98)
        Unknown1.07 (0.75–1.53)1.02 (0.75–1.39)1.18 (0.87–1.60)
    Ethnicity
        Non-Hispanic1.001.001.00
        Hispanic1.57 (1.15–2.14)1.65 (1.23–2.21)1.63 (1.22–2.16)
        Unknown1.30 (1.07–1.57)1.47 (1.21–1.79)1.35 (1.13–1.61)
    Health insurance
        Private1.001.001.00
        Public1.48 (1.28–1.71)1.60 (1.30–1.96)1.54 (1.28–1.86)
        Uninsured1.13 (0.98–1.31)1.19 (1.00–1.42)1.15 (0.99–1.34)
        Unknown1.03 (0.40–2.71)0.99 (0.43–2.30)0.34 (0.15–0.77)
    Number of primary care visits during study period
        01.001.001.00
        11.03 (0.67–1.56)0.85 (0.57–1.26)0.57 (0.41–0.79)
        20.49 (0.34–0.71)0.48 (0.33–0.69)0.32 (0.22–0.46)
        3 or 40.36 (0.25–0.53)0.39 (0.26–0.57)0.24 (0.17–0.35)
        5–80.28 (0.19–0.40)0.33 (0.23–0.49)0.20 (0.14–0.28)
        >80.24 (0.16–0.37)0.31 (0.20–0.48)0.17 (0.11–0.27)
    Starting household income
         <100% FPL1.001.001.00
        100–199% FPL0.82 (0.73–0.92)0.79 (0.73–0.86)0.77 (0.70–0.84)
        200–399% FPL0.63 (0.53–0.75)0.51 (0.43–0.59)0.58 (0.49–0.67)
        ≥400% FPL0.66 (0.55–0.80)0.63 (0.53–0.75)0.65 (0.54–0.78)
        Unknown1.09 (0.84–1.41)1.05 (0.78–1.42)1.13 (0.80–1.58)
    Preferred language
        English1.001.001.00
        Spanish1.65 (1.06–2.55)1.47 (0.87–2.46)1.69 (1.07–2.67)
        Other6.17 (3.35–11.4)6.07 (3.35–11.0)5.74 (2.96–11.1)
    Number of chronic conditions
        01.001.001.00
        10.89 (0.81–0.97)0.94 (0.85–1.05)0.92 (0.82–1.03)
        ≥20.98 (0.81–1.18)1.07 (0.89–1.28)1 (0.80–1.25)
    • Only patients who logged into MyChart were included in these models. Note that these are odds ratio for the odds of not performing an activity given an individual had logged in. These odds were modeled as part of individual zero-inflated maximum-likelihood Poisson models to estimate both (1) the odds of not performing an activity and (2) the number of each of the 3 activities. Bold values are significant at P < .05.

    • FPL, federal poverty level.

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The Journal of the American Board of Family     Medicine: 29 (5)
The Journal of the American Board of Family Medicine
Vol. 29, Issue 5
September-October 2016
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Patterns of Electronic Portal Use among Vulnerable Patients in a Nationwide Practice-based Research Network: From the OCHIN Practice-based Research Network (PBRN)
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Patterns of Electronic Portal Use among Vulnerable Patients in a Nationwide Practice-based Research Network: From the OCHIN Practice-based Research Network (PBRN)
Lorraine S. Wallace, Heather Angier, Nathalie Huguet, James A. Gaudino, Alex Krist, Marla Dearing, Marie Killerby, Miguel Marino, Jennifer E. DeVoe
The Journal of the American Board of Family Medicine Sep 2016, 29 (5) 592-603; DOI: 10.3122/jabfm.2016.05.160046

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Patterns of Electronic Portal Use among Vulnerable Patients in a Nationwide Practice-based Research Network: From the OCHIN Practice-based Research Network (PBRN)
Lorraine S. Wallace, Heather Angier, Nathalie Huguet, James A. Gaudino, Alex Krist, Marla Dearing, Marie Killerby, Miguel Marino, Jennifer E. DeVoe
The Journal of the American Board of Family Medicine Sep 2016, 29 (5) 592-603; DOI: 10.3122/jabfm.2016.05.160046
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