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Research ArticleOriginal Research

Aspects of Patient and Clinician Language Predict Adherence to Antidepressant Medication

Jessica E. Kaplan, Robert D. Keeley, Matthew Engel, Caroline Emsermann and David Brody
The Journal of the American Board of Family Medicine July 2013, 26 (4) 409-420; DOI: https://doi.org/10.3122/jabfm.2013.04.120201
Jessica E. Kaplan
From the Denver Health & Hospital Authority, Denver, CO (JEK, RDK, MSE, DB); and the Departments of Family Medicine (RDK, CE) and Internal Medicine (DB), University of Colorado Denver, Aurora, CO.
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Robert D. Keeley
From the Denver Health & Hospital Authority, Denver, CO (JEK, RDK, MSE, DB); and the Departments of Family Medicine (RDK, CE) and Internal Medicine (DB), University of Colorado Denver, Aurora, CO.
MD
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Matthew Engel
From the Denver Health & Hospital Authority, Denver, CO (JEK, RDK, MSE, DB); and the Departments of Family Medicine (RDK, CE) and Internal Medicine (DB), University of Colorado Denver, Aurora, CO.
MPH
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Caroline Emsermann
From the Denver Health & Hospital Authority, Denver, CO (JEK, RDK, MSE, DB); and the Departments of Family Medicine (RDK, CE) and Internal Medicine (DB), University of Colorado Denver, Aurora, CO.
MS
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David Brody
From the Denver Health & Hospital Authority, Denver, CO (JEK, RDK, MSE, DB); and the Departments of Family Medicine (RDK, CE) and Internal Medicine (DB), University of Colorado Denver, Aurora, CO.
MD
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    Figure 1.

    Theoretical model relating aspects of clinician and patient language to medication adherence. PDC, proportion of days covered over 180 days of observation.

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    Figure 2.

    Patient flow diagram. *Prescription not picked up.

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    Table 1. Characteristics of Participants and Comparison of Participants to the General Population of Adults Attending the Health System
    CharacteristicsStudy ParticipantsGeneral Population
    Clinicians (n = 20)
        Female sex13 (65.0)
        Age, mean years46.1 (7.2)
        Ethnicity
            Non-Hispanic white17 (85.0)
             Hispanic3 (15.0)
        Specialty
            Internal medicine5 (25.0)
            Family medicine10 (50.0)
            Nurse practitioner2 (10.0)
            Physician assistant3 (15.0)
    Patients (n = 63)2011 Community Health Adults (n = 67,256)*
        Sociodemographic
            Female sex46 (73.0)41,990 (62.4)
            Age, mean years ± SD (range)50.0 ± 13.6 (19.7–73.4)42.4*
            Ethnicity
                African American20 (31.7)11,539 (17.2)
                Non-Hispanic white12 (19.0)19,885 (29.6)
                Hispanic25 (39.7)32,116 (47.8)
                American Indian3 (4.8)3716 (5.5)†
                Multiethnic (non-Hispanic)3 (4.8)
            Insurance (n = 62)36 (58.1)27,319 (40.6)
                Public1 (1.6)8,006 (11.9)
                Private25 (40.3)31,928 (47.5)
                No insurance
        English-speaking (%)10070.9
        Physical/mental health
            Baseline PHQ-9 score (severity)17.5 ± 3.9 (moderately severe)
            Physical comorbidity categories, mean ± SD (range)‡2.3 ± 1.6 (0–7)
        Treatment factors
            Unique medications, mean ± SD (range)3.8 ± 2.6 (0–11)
            Previous antidepressant use27 (42.9)
        Antidepressant adherence
            Obtained initial fill56 (88.6)
            PDC, mean ± SD (range)45.2 ± 33.6 (0–100)
        Patient-clinician relationship
            Helping Alliance Questionnaire§95.1 ± 16.1 (41–109)
    Change/sustain talk, mean ± SD (range)
        Mean change talk statements per encounter‖1.1 ± 1.0 (0–4)
        Mean sustain talk statements per encounter‖0.7 ± 1.2 (0–5)
    • Values are n (%) unless otherwise indicated.

    • ↵* Mean age estimated from percentage of adults in age groups (19–34, 3549, 5060, and ≥65 years); overall adult data for the complete system excludes those aged 18 years.

    • ↵† Categorized as “Other.”

    • ↵‡ Physical comorbidities assessed with a count of up to 8 categories (arthritis, asthma, congestive heart failure, chronic obstructive pulmonary disease, coronary heart disease, diabetes, hypertension, and lower back pain).

    • ↵§ Helping Alliance Questionnaire assesses the patient's perception of participating in a collaborative relationship with the primary care clinician. A score of <89 is considered poor.

    • ↵‖ Of 63 patients, 48 (76.2%) voiced any change talk, whereas 22 (34.9%) made any sustain talk. The mean scores are for all 63 patients and were calculated including those with no change or sustain talk statements.

    • SD, standard deviation; PDC, proportion of days covered. PHQ-9, patient health questionnaire.

    • View popup
    Table 2. Associations Between Number of Change Talk Statements and Proportion of Days Covered (PDC) Estimates
    Change Talk StatementsnMean PDCSD
    0170.390.32
    1250.350.32
    2150.620.33
    350.650.29
    410.67NA
    • NA, not applicable; SD, standard deviation.

    • View popup
    Table 3. Multivariate Analysis of Estimated Proportion of Days Covered (PDC)
    VariableEstimateStandard Errort ValueP
    Intercept0.280.122.32.024
    Patient change talk0.190.092.24.029
    Clinician empathy0.100.042.27.027
    Clinician MI-adherent statements−0.030.01−2.22.03
    Previous antidepressant use−0.120.08−1.39.17
    African American (non-Hispanic)−0.160.08−1.87.07
    • R2 = 27.6% (n = 63). MI, motivational interviewing.

    • View popup
    Motivational Interviewing (MI) Treatment Integrity Code
    Code CategoriesComponentsDefinitionExamplesRating Scheme
    MI-adherent statementsAffirm, emphasize autonomy, ask before giving advice, supportIt takes courage to come in and talk about depression. (Affirm)
    May I share some information about antidepressant medications? (Ask permission)
    Simple reflectionsReflect basic understanding of what patient has saidYou are determined to start an antidepressant medication.
    Complex reflectionsAdd substantial meaning to what patient has saidOn the one hand you perceive potential benefit from the medicine, and on the other hand you are terrified of getting addicted.
    MI-consistent languageMI-adherent statements + reflections + open questions
    MI spiritAverage of global scores of evocation, collaboration, and autonomy/support
    EmpathyGlobal score: the extent to which the clinician understands or makes an effort to grasp the client's perspective and feelings. Reflective listening is an important part of this characteristic, but this global rating is intended to capture all efforts that the clinician makes to understand the client's perspective and convey that understanding to the client.Empathy is evident when providers show an active interest in understanding what the client is saying. It can also be apparent when the clinician accurately follows or perceives a complex story or statement by the client or probes gently to gain clarity.
    Clinicians with low empathy show little effort to gain a deeper understanding of complex events and emotions, and questions asked reflect shallowness or impatience.
    MI nonadherent statementsAdvising, directing, confrontingI would strongly recommend that you start the antidepressant medication now. (Advise)
    You're letting your family down if you don't take the antidepressant. (Confront)
    • View popup
    κ Coefficients: Global Measures
    Global MeasureκP*
    Autonomy0.7186<.001
    Collaboration0.7187<.001
    Direction0.6913<.001
    Empathy0.7399<.001
    Evocation0.6127<.001
    • ↵* Using normal approximation to test null hypothesis = no agreement.

    • View popup
    Intraclass Correlation Coefficients (ICCs) for Behavior Counts
    MeasureICC
    Give information0.42
    Closed questions0.69
    Open questions0.76
    Complex reflections0.18
    Simple reflections0.58
    Total reflections0.54
    MI-adherent statements0.34
    MI-nonadherent statements0.45
    Total statements consistent with MI0.52
    MI spirit0.32
    • MI, motivational interviewing.

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The Journal of the American Board of Family     Medicine: 26 (4)
The Journal of the American Board of Family Medicine
Vol. 26, Issue 4
July-August 2013
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Aspects of Patient and Clinician Language Predict Adherence to Antidepressant Medication
Jessica E. Kaplan, Robert D. Keeley, Matthew Engel, Caroline Emsermann, David Brody
The Journal of the American Board of Family Medicine Jul 2013, 26 (4) 409-420; DOI: 10.3122/jabfm.2013.04.120201

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Aspects of Patient and Clinician Language Predict Adherence to Antidepressant Medication
Jessica E. Kaplan, Robert D. Keeley, Matthew Engel, Caroline Emsermann, David Brody
The Journal of the American Board of Family Medicine Jul 2013, 26 (4) 409-420; DOI: 10.3122/jabfm.2013.04.120201
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Keywords

  • Antidepressive Agents
  • Communication
  • Depression
  • Patient Adherence
  • Quantitative Evaluation

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