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Research ArticleOriginal Research

Team Structure and Culture Are Associated With Lower Burnout in Primary Care

Rachel Willard-Grace, Danielle Hessler, Elizabeth Rogers, Kate Dubé, Thomas Bodenheimer and Kevin Grumbach
The Journal of the American Board of Family Medicine March 2014, 27 (2) 229-238; DOI: https://doi.org/10.3122/jabfm.2014.02.130215
Rachel Willard-Grace
From the Department of Family and Community Medicine, University of California, San Francisco (RW-G, DH, KD, TB, KG), the Center for Excellence in Primary Care (RW-G, DH, ER, KD, TB, KG), and Divisions of General Internal Medicine and Pediatrics (ER), University of California, San Francisco.
MPH
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Danielle Hessler
From the Department of Family and Community Medicine, University of California, San Francisco (RW-G, DH, KD, TB, KG), the Center for Excellence in Primary Care (RW-G, DH, ER, KD, TB, KG), and Divisions of General Internal Medicine and Pediatrics (ER), University of California, San Francisco.
PhD, MS
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Elizabeth Rogers
From the Department of Family and Community Medicine, University of California, San Francisco (RW-G, DH, KD, TB, KG), the Center for Excellence in Primary Care (RW-G, DH, ER, KD, TB, KG), and Divisions of General Internal Medicine and Pediatrics (ER), University of California, San Francisco.
MD
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Kate Dubé
From the Department of Family and Community Medicine, University of California, San Francisco (RW-G, DH, KD, TB, KG), the Center for Excellence in Primary Care (RW-G, DH, ER, KD, TB, KG), and Divisions of General Internal Medicine and Pediatrics (ER), University of California, San Francisco.
BA
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Thomas Bodenheimer
From the Department of Family and Community Medicine, University of California, San Francisco (RW-G, DH, KD, TB, KG), the Center for Excellence in Primary Care (RW-G, DH, ER, KD, TB, KG), and Divisions of General Internal Medicine and Pediatrics (ER), University of California, San Francisco.
MD, MPH
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Kevin Grumbach
From the Department of Family and Community Medicine, University of California, San Francisco (RW-G, DH, KD, TB, KG), the Center for Excellence in Primary Care (RW-G, DH, ER, KD, TB, KG), and Divisions of General Internal Medicine and Pediatrics (ER), University of California, San Francisco.
MD
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Article Figures & Data

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    Figure 1.

    Interaction between team structure and team culture on exhaustion for clinicians (adjusted for covariates). A median split is used to define low versus high team culture.

Tables

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    Table 1. Team Culture Scale
    ItemMeanMedianStandard DeviationRangeFactor Loading
    The group of staff and providers I work with most regularly work well together as a team.7.097.002.351–100.80
    My most important task in clinic is to manage patient flow.*6.527.002.711–100.20
    We have a “we are in it together” attitude at my clinic.6.427.002.601–100.87
    I feel unprepared for many of the tasks that I am asked to do every day.†‡7.769.002.471–100.35
    My professional skills are used to the fullest at my clinic.6.397.002.961–100.64
    It is hard to get things to change in my clinic.†4.775.002.561–100.60
    I can rely on other people at my clinic to do their jobs well.6.667.002.251–100.72
    We regularly take time to consider ways to improve how we do things at my clinic.6.877.002.471–100.69
    • ↵* This item was removed from the final scale.

    • ↵† These items were reverse-coded to develop a composite score. The results presented here are reverse-coded.

    • ↵‡ The factor loading score for this item is low, but removal of this item did not improve the Cronbach α, and it was retained in the final scale.

    • View popup
    Table 2. Clinician and Staff Characteristics
    CharacteristicsClinicians (n = 231)Staff (n = 280)
    Half days of patient care per week
        1–2116 (50)—
        3–575 (33)—
        ≥640 (17)—
    Work hours per week
        <20—28 (9)
        ≥20—252 (91)
    Tenure (years)
        <138 (17)61 (22)
        1–599 (43)101 (36)
        ≥594 (41)118 (42)
    System
        Public138 (60)183 (65)
        University93 (40)97 (35)
    EHR in transition (±6 months)
        No213 (92)248 (89)
        Yes18 (8)32 (11)
    Clinician type
        Attending physician115 (50)—
        Nurse practitioner/physician assistant31 (13)—
        Resident85 (37)—
    Direct role in patient care
        No—123 (44)
        Yes—157 (56)
    Staff team structure
        No team—104 (39)
        Team or teamlet—162 (61)
    Clinician team structure
        No team22 (10)—
        Team164 (72)—
        Teamlet42 (18)—
    Team culture, mean (SD)6.17 (1.62)6.90 (1.65)
    MBI emotional exhaustion
        Exhaustion score, mean (SD)3.43 (1.42)2.81 (1.66)
        Low exhaustion24 (11)64 (24)
        Moderate exhaustion63 (29)89 (33)
        High exhaustion129 (60)117 (43)
    • Data are n (%) unless otherwise indicated.

    • EHR, electronic health record; MBI, Maslach Burnout Inventory; SD, standard deviation.

    • View popup
    Table 3. Predictors of Emotional Exhaustion Scores Among Clinicians
    VariableModel 1Model 2Model 3Model 4
    β95% CIβ95% CIβ95% CIβ95% CI
    Half days worked
        1–2RefRefRefRef
        3–50.35−0.31 to 1.010.58*0.15 to 1.010.58*0.25 to 0.910.53*0.23 to 0.83
        ≥60.73*0.20 to 1.251.23†0.83 to 1.641.40†0.97 to 1.841.38†0.98 to 1.78
    Tenure (years)
        <1RefRefRefRef
        1–50.48−0.14 to 1.100.24−0.13 to 0.62−0.09−0.60 to 0.430.04−0.45 to 0.53
        >50.03−0.88 to 0.930.08−0.72 to 0.89−0.15−0.91 to 0.62−0.13−0.85 to 0.59
    System
        CountyRefRefRefRef
        University−0.20−0.55 to 0.16−0.15−0.38 to 0.09−0.21−0.49 to 0.06−0.20-0.47 to 0.07
    EHR in transition
        NoRefRefRefRef
        Yes0.73*0.19 to 1.260.87†0.37 to 1.370.81*0.19 to 1.440.80‡0.16 to 1.44
    Clinician type
        Attending physicianRefRefRefRef
        Nurse practitioner/physician assistant0.01−0.52 to 0.53−0.31−0.69 to 0.08−0.21−0.45 to 0.02−0.17−0.35 to 0.01
        Resident0.56‡0.02 to 1.100.86†0.48 to 1.250.66†0.36 to 0.970.64†0.36 to 0.92
    Team structure
        No teamsRefRefRefRef
        Team−0.62‡−1.17 to −0.07−0.52‡−0.92 to −0.12−0.42‡−0.79 to −0.04−0.56‡−0.95 to −0.17
        Teamlet−1.19†−1.61 to −0.78−0.99†−1.46 to −0.53−0.60‡−1.07 to −0.13−0.50‡0.97 to −0.04
    Team culture−0.37†−0.44 to −0.30−0.37†−0.53 to −0.20−0.34†−0.48 to −0.21
    Team structure × team culture−0.31†−0.39 to −0.23
    QIC fit index364.19308.56294.10
    • β Values are coefficients of linear regressions using generalized estimated equations associated with changes in the exhaustion score; positive numbers represent greater exhaustion and negative numbers represent less exhaustion.

    • ↵‡ P < .05.

    • ↵* P < .01.

    • ↵† P < .001.

    • CI, confidence interval; EHR, electronic health record; QIC, quasi-likelihood under the independence model criterion; Ref, reference category.

    • View popup
    Table 4. Predictors of Emotional Exhaustion Scores Among Staff
    VariableModel 1Model 2Model 3Model 4
    β95% CIβ95% CIβ95% CIβ95% CI
    Hours worked per week
        ≤20RefRefRefRef
        >200.59*0.09 to 1.100.33−0.10 to 0.760.29−0.18 to 0.760.31−0.15 to 0.77
    Tenure (years)
        <1RefRefRefRef
        1–50.47−0.07 to 1.000.46−0.03 to 0.940.34−0.11 to 0.800.35−0.12 to 0.82
        >50.73*0.12 to 1.350.63*0.09 to 1.170.50*0.06 to 0.940.50*0.06–0.94
    System
        CountyRefRefRefRef
        University0.22−0.41 to 0.850.53*0.02 to 1.040.40−0.13 to 0.930.40−0.13 to 0.94
    EHR in transition
        NoRefRefRefRef
        Yes1.42†1.08 to 1.771.49†1.01 to 1.981.40†0.84–1.951.38†0.82–1.95
    Room patients/take vitals
        NoRefRefRefRef
        Yes0.28−0.17 to 0.720.24−0.14 to 0.620.27−0.07 to 0.610.28−0.05 to 0.60
    Team structure
        No teamRefRefRefRef
        Team or teamlet0.04−0.42 to 0.50−0.08−0.45 to 0.290.16−0.17 to 0.490.15−0.17 to 0.46
    Team culture−0.34†−0.46 to −0.21−0.33†−0.45 to −0.21−0.33†−0.45 to −0.21
    Team structure × team culture−0.08−0.29 to 0.12
    QIC fit index for model618.99535.43536.27
    • β Values are coefficients of linear regressions using generalized estimated equations associated with changes in the exhaustion score; positive numbers represent greater exhaustion and negative numbers represent less exhaustion.

    • ↵* P < .05.

    • ↵† P < .001.

    • CI, confidence interval; EHR, electronic health record; QIC, quasi-likelihood under the independence model criterion; Ref, reference category.

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The Journal of the American Board of Family     Medicine: 27 (2)
The Journal of the American Board of Family Medicine
Vol. 27, Issue 2
March-April 2014
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Team Structure and Culture Are Associated With Lower Burnout in Primary Care
Rachel Willard-Grace, Danielle Hessler, Elizabeth Rogers, Kate Dubé, Thomas Bodenheimer, Kevin Grumbach
The Journal of the American Board of Family Medicine Mar 2014, 27 (2) 229-238; DOI: 10.3122/jabfm.2014.02.130215

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Team Structure and Culture Are Associated With Lower Burnout in Primary Care
Rachel Willard-Grace, Danielle Hessler, Elizabeth Rogers, Kate Dubé, Thomas Bodenheimer, Kevin Grumbach
The Journal of the American Board of Family Medicine Mar 2014, 27 (2) 229-238; DOI: 10.3122/jabfm.2014.02.130215
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