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Research ArticleOriginal Research

Primary Care Clinician Burnout and Engagement Association With Clinical Quality and Patient Experience

Rachel Willard-Grace, Margae Knox, Beatrice Huang, Hali Hammer, Coleen Kivlahan and Kevin Grumbach
The Journal of the American Board of Family Medicine May 2021, 34 (3) 542-552; DOI: https://doi.org/10.3122/jabfm.2021.03.200515
Rachel Willard-Grace
From the Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, MK, BH, HH, CK, KG); School of Public Health, University of California, Berkeley (MK); San Francisco Department of Public Health (HH); UCSF Health, University of California, San Francisco (CK).
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Margae Knox
From the Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, MK, BH, HH, CK, KG); School of Public Health, University of California, Berkeley (MK); San Francisco Department of Public Health (HH); UCSF Health, University of California, San Francisco (CK).
MPH
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Beatrice Huang
From the Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, MK, BH, HH, CK, KG); School of Public Health, University of California, Berkeley (MK); San Francisco Department of Public Health (HH); UCSF Health, University of California, San Francisco (CK).
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Hali Hammer
From the Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, MK, BH, HH, CK, KG); School of Public Health, University of California, Berkeley (MK); San Francisco Department of Public Health (HH); UCSF Health, University of California, San Francisco (CK).
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Coleen Kivlahan
From the Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, MK, BH, HH, CK, KG); School of Public Health, University of California, Berkeley (MK); San Francisco Department of Public Health (HH); UCSF Health, University of California, San Francisco (CK).
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Kevin Grumbach
From the Center for Excellence in Primary Care, Department of Family & Community Medicine, University of California, San Francisco (RW-G, MK, BH, HH, CK, KG); School of Public Health, University of California, Berkeley (MK); San Francisco Department of Public Health (HH); UCSF Health, University of California, San Francisco (CK).
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Article Figures & Data

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    Figure 1.

    Mean proportion of top box ratings for each engagement-burnout phenotype, unadjusted, (n = 151). *Statistically significant difference from other groups (P<.05). Abbreviations: PCP, primary care physician; Rec Clinic, Recommend Clinic.

Tables

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    Table 1.

    Respondent Characteristics, (n = 186)

    CharacteristicN (%)Mean ± SD
    Position
        Physician (non-resident)153 (82.3)
        Nurse practitioner/physician assistant33 (17.7)
    Tenure at time of survey
        Less than 2 years38 (20.5)
        3 to 10 years78 (42.2)
        More than 10 years69 (37.3)
        Complexity-adjusted panel per clinical FTE1212 ± 460
        Clinical FTE0.48 ± 0.30
    Health system
        University-based84 (45.2)
        County-based102 (54.8)
        Work in a residency-teaching clinic90 (48.4)
        High burnout*89 (51.2)
    Emotional exhaustion (score category)†
        Overall score15.2 ± 7.4
        Low exhaustion (0 to 10)49 (26.3)
        Moderate exhaustion (11 to 15)53 (28.5)
        High exhaustion (16 or more)84 (45.2)
    Cynicism (score category)†
        Overall score7.6 ± 7.1
        Low cynicism (0 to 5)94 (50.5)
        Moderate cynicism (6 to 10)40 (21.5)
        High cynicism (11 or more)52 (28.0)
    Engagement: Net Promoter Score (score category)‡
        Overall score7.3 ± 2.3
        Detractor (0 to 6)46 (24.7)
        Passively satisfied (7 to 8)77 (41.4)
        Promoter (9 to 10)63 (33.9)
    Burnout-engagement phenotypes
        Low burnout-low engagement45 (24.6)
        Low burnout-high engagement44 (24.0)
        High burnout-low engagement78 (42.6)
        High burnout-high engagement16 (8.7)
    HEDIS patient quality measures: Proportion of patients up-to-date or in control on HEDIS quality measures, mean (S.D.)
        Cancer screening up to date71.9% (11.5%)
        Breast cancer screening up to date72.4% (14.3%)
        Cervical cancer screening up to date73.4% (11.0%)
        Colorectal cancer screening up to date69.6% (14.5%)
        Diabetes under control79.0% (13.0%)
        Hypertension under control72.0% (10.2%)
    CG-CAPHS patient experience measures: Proportion of top box scores on CG-CAHPS measures, mean (S.D.)
        PCP communication86.5% (12.8%)
        Rating of PCP74.3% (17.1%)
        Recommend clinic‡80.1% (16.3%)
    • CG-CAHPS, Clinician and Group Survey-Consumer Assessment of Healthcare Providers and Systems; FTE, full-time equivalent; HEDIS, Health care Effectiveness Data and Information Set; MBI, Maslach Burnout Inventory; PCP, primary care physician.

    • ↵* The term “burnout” is defined as reporting either high exhaustion or high cynicism.

    • ↵† The MBI emotional exhaustion and cynicism subscales have a possible range of 1–30, with 30 being the most severe emotional exhaustion or cynicism.

    • ↵‡ The Net Promoter Score refers to the likelihood to recommend clinic as place to work. This score has a possible range of 0–10, with 10 being the most positive rating. Scores are classified as Detractor (0–6), Passively satisfied (7–8), or Promoters (9–10).

    • SD, standard deviation.

    • View popup
    Table 2.

    Results of Multivariate Linear Regression Models for Composite Cancer Screening, Diabetes Control, and Hypertension Control, Adjusted for Covariates and Clustering by Clinic, (n = 171–180)*

    VariableβRobust Standard Error95% CIP value
    Dependent variable: Composite cancer screening
        Model 1: High burnout†−0.020.02−0.05–0.02.37
        Model 2: High engagement‡0.020.02−0.01–0.06.21
        Model 3: Burnout-engagement phenotypes
            High burnout-low engagementReference
            High burnout-high engagement−0.020.02−0.07–0.02.27
            Low burnout-low engagement−0.010.02−0.06–0.03.54
            Low burnout-high engagement0.030.03−0.02–0.09.20
    Dependent variable: Diabetes control
        Model 1: High burnout−0.0020.02−0.05–0.05.94
        Model 2: High engagement−0.020.02−0.06–0.02.36
        Model 3: Burnout-engagement phenotypes
            High burnout-low engagementReference
            High burnout-high engagement−0.030.03−0.09–0.03.32
            Low burnout-low engagement0.0040.03−0.06–0.07.90
            Low burnout-high engagement−0.010.03−0.07–0.04.65
    Dependent variable: Hypertension control
        Model 1: High burnout0.0030.01−0.02–0.03.85
        Model 2: High engagement0.0030.02−0.03–0.03.86
        Model 3: Burnout-engagement phenotypes
            High burnout-low engagementReference
            High burnout-high engagement−0.040.02−0.08–0.01.13
            Low burnout-low engagement−0.030.02−0.08–0.02.29
            Low burnout-high engagement0.0040.01−0.03–0.03.80
    • ↵* This table illustrates the results of multivariate linear regression analysis. Three multivariate regression models are represented for each outcome in this table, with results adjusted for covariates and clustering by clinic. Burnout, engagement (likelihood to recommend the clinic), and the phenotypes were tested in separate regression models that included only 1 of these predictors at a time, along with the covariates. Covariates include complexity adjusted panel per clinical full-time equivalent, position (physician vs nurse practitioner), years in the health system, type of health system (county-based vs university-based), and whether working at a residency-teaching practice.

    • ↵† The term “high burnout” is defined as reporting either high exhaustion or high cynicism.

    • ↵‡ The term “high engagement” is defined as a score of 9–10 on the “the likelihood to recommend clinic as place to work.” This item has a possible range of 0–10, which 10 being the most positive rating. This definition is consistent with scoring for the “Net Promoter Score,” which defines a score of 9–10 as being a promoter.

    • CI, confidence interval.

    • View popup
    Table 3.

    Results of Multivariate Linear Regression Models of Burnout and Engagement as Predictors of Patient Experience Scores, Adjusted for Covariates and Clustering by Clinic, (n = 151)*

    VariableAdjusted βRobust Standard Error95% CIP value
    Dependent variable: Proportion of patient ratings in top box for primary care provider communication
        Model 1: High burnout†0.0060.01−0.02–0.03.55
        Model 2: High engagement‡0.0080.01−0.02–0.04.54
        Model 3: Burnout-engagement phenotypes
            High burnout-low engagementReference
            High burnout-high engagement0.040.020–0.08.05
            Low burnout-low engagement0.0010.02−0.04–0.04.95
            Low burnout-high engagement−0.0020.01−0.03–0.03.89
    Dependent variable: Whether in top quartile of patient overall rating of primary care provider
        Model 1: High burnout0.00050.01−0.03–0.03.97
        Model 2: High engagement0.0070.03−0.05–0.07.81
        Model 3: Burnout-engagement phenotypes
            High burnout-low engagementReference
            High burnout-high engagement0.040.020.009–0.08.02
            Low burnout-low engagement0.010.03−0.04–0.07.62
            Low burnout-high engagement−0.00040.03−0.06–0.06.99
    Dependent variable: Proportion of patient ratings in top box for recommendation of clinic
        Model 1: High burnout−0.0030.02−0.04–0.03.87
        Model 2: High engagement0.0080.02−0.03–0.04.64
        Model 3: Burnout-engagement phenotypes
            High burnout-low engagementReference
            High burnout-high engagement0.050.030.0002–0.10.049
            Low burnout-low engagement0.020.03−0.05–0.09.55
            Low burnout-high engagement0.0020.02−0.04–0.04.90
    • ↵* This table illustrates the results of multivariate logistic regression analysis. Three multivariate regression models are represented for each outcome in this table, with results adjusted for covariates and clustering by clinic. Burnout, engagement (likelihood to recommend the clinic), and the phenotypes were tested in separate regression models that included only 1 of these predictors at a time, along with the covariates. Covariates include complexity adjusted panel per clinical full-time equivalent, position (physician vs nurse practitioner), years in the health system, type of health system (county-based vs university-based), and whether working at a residency-teaching practice.

    • ↵† The term “high burnout” is defined as reporting either high exhaustion or high cynicism.

    • ↵‡ The term “high engagement” is defined as a score of 9–10 on the “the likelihood to recommend clinic as place to work.” This item has a possible range of 0–10, which 10 being the most positive rating. This definition is consistent with scoring for the “Net Promoter Score,” which defines a score of 9–10 as being a promoter.

    • CI, confidence interval.

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The Journal of the American Board of Family     Medicine: 34 (3)
The Journal of the American Board of Family Medicine
Vol. 34, Issue 3
May/June 2020
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Primary Care Clinician Burnout and Engagement Association With Clinical Quality and Patient Experience
Rachel Willard-Grace, Margae Knox, Beatrice Huang, Hali Hammer, Coleen Kivlahan, Kevin Grumbach
The Journal of the American Board of Family Medicine May 2021, 34 (3) 542-552; DOI: 10.3122/jabfm.2021.03.200515

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Primary Care Clinician Burnout and Engagement Association With Clinical Quality and Patient Experience
Rachel Willard-Grace, Margae Knox, Beatrice Huang, Hali Hammer, Coleen Kivlahan, Kevin Grumbach
The Journal of the American Board of Family Medicine May 2021, 34 (3) 542-552; DOI: 10.3122/jabfm.2021.03.200515
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