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Research ArticleOriginal Research

Medication Adherence Improvement Similar for Shared Decision-Making Preference or Longer Patient-Provider Relationship

Antoinette Schoenthaler, Diana Margot Rosenthal, Mark Butler and Lauren Jacobowitz
The Journal of the American Board of Family Medicine September 2018, 31 (5) 752-760; DOI: https://doi.org/10.3122/jabfm.2018.05.180009
Antoinette Schoenthaler
From the Center for Healthful Behavior Change, Division of Health & Behavior, Department of Population Health, New York University, New York, NY (AS, DMR, MB); Cornell University, Ithaca (LJ).
EdD, FAACH
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Diana Margot Rosenthal
From the Center for Healthful Behavior Change, Division of Health & Behavior, Department of Population Health, New York University, New York, NY (AS, DMR, MB); Cornell University, Ithaca (LJ).
MPA, MSc
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Mark Butler
From the Center for Healthful Behavior Change, Division of Health & Behavior, Department of Population Health, New York University, New York, NY (AS, DMR, MB); Cornell University, Ithaca (LJ).
PhD
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Lauren Jacobowitz
From the Center for Healthful Behavior Change, Division of Health & Behavior, Department of Population Health, New York University, New York, NY (AS, DMR, MB); Cornell University, Ithaca (LJ).
BA
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    Figure 1.

    Effect modification of length of patient-provider relationship on decision-making preference and medication adherence.

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    Table 1.

    Comparison of Patient Characteristics by Decision-Making Preference (N = 75), 2011 to 2014

    Total (N = 75)Passive (n = 14)Active (n = 18)Shared (n = 43)
    Age, mean (SD)59.93 (10.29)61.36 (11.32)60.89 (11.20)59.07 (9.71)
    Female, n (%)42 (56.0%)7 (50.0%)11 (61.1%)24 (55.8%)
    Black, n (%)43 (57.3%)11 (78.6%)9 (50.0%)23 (53.5%)
    Seeing same PCP for >1 year47 (62.7%)6 (42.9%)13 (72.2%)28 (65.1%)
    Education, n (%)
        Less than high school8 (10.7%)3 (21.4%)2 (11.1%)3 (7.0%)
        HS/technical school25 (33.3%)6 (42.9%)6 (33.3%)13 (30.2%)
        Some college42 (56.0%)5 (35.7%)10 (55.6%)27 (62.8%)
    Unemployed, n (%)51 (68.0%)10 (71.4%)14 (77.8%)27 (62.8%)
    Income ≤$40,000, n (%)47 (62.7%)10 (71.4%)9 (50.0%)28 (65.1%)
    Insurance, n (%)
        Private12 (16.0%)2 (14.3%)5 (27.8%)5 (11.6%)
        Medicare21 (28.0%)2 (14.3%)7 (38.9%)12 (27.9%)
        Medicaid25 (33.3%)7 (50%)4 (22.2%)14 (32.6%)
        None17 (22.7%)3 (21.4%)2 (11.1%)12 (27.9%)
    Diabetes, n (%)31 (41.3%)9 (64.3%)8 (44.4%)14 (32.6%)
    Baseline SBP, mean (SD)131.95 (17.27)123.50 (13.08)134.29 (15.60)133.47 (18.61)
    Baseline DBP, mean (SD)76.69 (11.92)70.40 (14.03)77.36 (11.47)78.26 (11.18)
    Number of antihypertensive medications, mean (SD)2.23 (1.17)2.00 (1.04)2.28 (1.41)2.28 (1.12)
    • DBP, Diastolic Blood Pressure; HS, High School; PCP, Primary Care Provider; SD, standard deviation; SBP, Systolic Blood Pressure.

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    Table 2.

    Demographic Characteristics of Primary Care Providers from Safety-Net Practices (N = 27), 2011 to 2015

    Provider Characteristics
    Age, mean (SD)36.2 (6.0)
    Female, n (%)18 (66.7%)
    Race, n (%)
        White15 (55.6%)
        Black5 (18.5%)
        Latino2 (7.4%)
        Indian1 (3.7%)
        Asian4 (14.8%)
    Type of provider, n (%)
        MD26 (96.3%)
        Nurse practitioner1 (3.7%)
    Specialty, n (%)
        Internal medicine22 (81.5%)
        Other (Geriatric, NP)5 (18.5%)
    Born in the United States, n (%)25 (92.6%)
    • SD, standard deviation; MD, Medical Doctor; NP, Nurse Practitioner.

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    Table 3.

    Rates of Medication Adherence by Decision-Making Preference, as Assessed by an Electronic Monitoring Device Using the Scheduling Adherence Metric over the 3-Month Study Period (N = 75)

    Decision-Making PreferenceN%Adherence (Range, 0% to 100%)≥80% Adherent
    MeanSDn%
    Passive4357.3%62.9830.24535.7%
    Active1824.0%89.3117.741477.8%
    Shared1418.7%83.8419.513172.1%
    • SD, standard deviation.

    • The scheduling adherence metric is defined as the ratio of the number of pills taken versus the number of pills prescribed per day in the specified time period (90 days).

    • View popup
    Table 4.

    Results of the Generalized Linear Mixed Models Testing the Associations Between Medication Adherence and Decision-Making Preference as Moderated by Years with Primary Care Provider Among 75 Hypertensive Patients

    Model 1Model 2
    BSEPBSEP
    Patient age0.540.25.0310.520.24.032
    Patient race−9.264.95.066−8.084.89.103
    Employment status9.725.36.0747.825.33.147
    Insurance status1.251.92.5161.251.88.509
    Number of antihypertensive medications8.425.00.0978.434.88.089
    Decision-making preference
        Shared15.876.62.01959.4419.76.004
        Active22.587.62.00438.9124.97.124
        PassiveREFREFREFREFREFREF
    Years with primary care provider ≥18.215.20.11927.5310.93.014
    Shared × years w/ PCP−28.7412.50.025
    Active × years w/ PCP−12.6615.15.407
    Passive × years w/ PCPREFREFREF
    • SE, standard error; PCP, primary care provider.

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The Journal of the American Board of Family     Medicine: 31 (5)
The Journal of the American Board of Family Medicine
Vol. 31, Issue 5
September-October 2018
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Medication Adherence Improvement Similar for Shared Decision-Making Preference or Longer Patient-Provider Relationship
Antoinette Schoenthaler, Diana Margot Rosenthal, Mark Butler, Lauren Jacobowitz
The Journal of the American Board of Family Medicine Sep 2018, 31 (5) 752-760; DOI: 10.3122/jabfm.2018.05.180009

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Medication Adherence Improvement Similar for Shared Decision-Making Preference or Longer Patient-Provider Relationship
Antoinette Schoenthaler, Diana Margot Rosenthal, Mark Butler, Lauren Jacobowitz
The Journal of the American Board of Family Medicine Sep 2018, 31 (5) 752-760; DOI: 10.3122/jabfm.2018.05.180009
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