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Research ArticleOriginal Research

Task Delegation and Burnout Trade-offs Among Primary Care Providers and Nurses in Veterans Affairs Patient Aligned Care Teams (VA PACTs)

Samuel T. Edwards, Christian D. Helfrich, David Grembowski, Elizabeth Hulen, Walter L. Clinton, Gordon B. Wood, Linda Kim, Danielle E. Rose and Greg Stewart
The Journal of the American Board of Family Medicine January 2018, 31 (1) 83-93; DOI: https://doi.org/10.3122/jabfm.2018.01.170083
Samuel T. Edwards
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
MD, MPH
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Christian D. Helfrich
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
MPH, PhD
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David Grembowski
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
PhD
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Elizabeth Hulen
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
MA
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Walter L. Clinton
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
PhD
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Gordon B. Wood
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
MS
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Linda Kim
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
PhD, MSN, RN, PHN
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Danielle E. Rose
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
PhD
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Greg Stewart
From the Section of General Internal Medicine and the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (STE, EH); the Division of General Internal Medicine and Geriatrics and the Department of Family Medicine (STE), Oregon Health & Science University, Portland; the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, US Department of Veterans Affairs, Seattle, WA (CDH, WLC, GBW); the Department of Health Services, University of Washington School of Public Health, Seattle (CDH, DG); the VA HSR&D Center for Study of Healthcare Innovation, Implementation & Policy, Greater Los Angeles Health Care System, Los Angeles, CA (LK, DER); the VISN 23 Patient Aligned Care Team Demonstration Laboratory, Iowa City VA Health Care System, Iowa City, IA (GS); and the Department of Management, University of Iowa, Iowa City (GS).
PhD
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  • Article
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Article Figures & Data

Tables

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    Table 1.

    Primary Care Tasks and Task Groupings

    TaskTask Groupings
    Gathering patient preventive services history (eg, immunization history)In-person data collection
    Screening patients for diseases (eg, doing a depression screen)
    Assessing patient lifestyle factors (eg, diet, smoking cessation)
    Receiving messages from patients (other than requests for prescriptions)Messaging
    Resolving messages from patients (other than requests for prescriptions)
    Responding to prescription refill requests
    Encouraging lifestyle modifications (eg, diet, smoking cessation)Counseling/education
    Educating patients about disease-specific self-care activities (eg, foot care in diabetes)
    Educating patients about medications
    Evaluating patients and making treatment decisionsDecision making
    Completing forms for patients (eg, disability documentation)
    Responding to requests for home health care orders
    Responding to patient diagnostic and treatment data (eg, laboratory tests, radiology studies)Tracking data
    Following up on referrals (eg, to specialists)
    • View popup
    Table 2.

    Perceived Task Delegation/Reliance and Prevalence of Burnout among Veterans Affairs Primary Care Providers and Nurse Care Managers

    PCPs (n = 721)Nurses (n = 598)DifferenceP Value
    Composite task delegation/reliance (15 tasks)2.97 (0.64)3.26 (0.50)0.91 (0.43)<.01
        In-visit data collection3.31 (0.71)3.40 (0.66)0.80 (0.63)<.01
        Messages3.47 (0.62)3.66 (0.56)0.62 (0.60)<.01
        Counseling/education3.05 (0.82)3.60 (0.53)0.85 (0.68)<.01
        Decision making2.53 (0.86)2.76 (0.85)1.14 (0.62)<.01
        Tracking data2.48 (1.01)2.99 (0.91)1.17 (0.79)<.01
    Burnout
        Dichotomized48.634.8<.01
        5-Level categorization
            113.023.3
            238.542.0
            329.021.5
            412.58.6
            57.14.6<.01
    Appropriate staffing64.366.4.06
    Turnover54.454.9.60
    Minutes spent in huddles, mean (SD)13.30 (10.90)14.33 (11.61).40
    Presence of PACT coach45.350.6.06
    Years of VA employment, mean (SD)8.53 (6.37)8.61 (6.90).13
    • Data are mean (standard deviation) or percentages.

    • PACT, patient aligned care team; PCP, primary care provider; SD, Standard Deviation; VA, Veterans Affairs.

    • View popup
    Table 3.

    Multivariable Regression Examining Association of Reported Staffing, Turnover, Huddle Time, Presence of Patient Aligned Care Team Coach, and Length of Veterans Affairs Employment, with a Composite Task Delegation/Reliance Score

    PCPsNurses
    βP ValueβP Value
    Appropriate staffing0.179<.01−0.119.01
    Staff turnover−0.123.020.013.77
    Minutes in huddle0.012<.010.006<.01
    Presence of PACT coach−0.005.92−0.026.55
    Years at VA0.004.350.005.13
    • PACT, patient aligned care team; PCP, primary care provider; VA, Veterans Affairs.

    • View popup
    Table 4.

    Association of Composite Task Delegation/Reliance and Composite Task Discordance, Along with Staffing, Turnover, Huddle Time, Patient Aligned Care Team Coach, and Length of Veterans Affairs Employment, with Workplace Burnout

    PCP BurnoutNurse Burnout
    OR95% CIOR95% CI
    Composite task delegation/reliance (15 tasks)0.680.49–0.931.661.13–2.45
        Appropriate staffing0.680.46–0.990.680.46–1.00
        Staff turnover1.741.20–2.521.420.98–2.07
        Minutes in huddle0.980.96–1.001.000.98–1.02
        Presence of PACT coach0.680.47–0.980.830.57–1.19
        Years at VA1.051.02–1.081.000.97–1.03
    Composite task discordance (15 tasks)1.811.14–2.881.260.84–1.91
        Appropriate staffing0.680.46–0.990.650.44–0.95
        Turnover1.831.27–2.651.420.98–2.06
        Huddle time0.980.96–0.991.000.99–1.02
        PACT coach present0.680.47–0.980.830.58–1.19
        Years at VA1.051.02–1.081.000.98–1.03
    • CI, confidence interval; OR, odds ratio; PACT, patient aligned care team; PCP, primary care provider; VA, Veterans Affairs.

    • View popup
    Appendix Table 1.

    Perceived Delegation and Reliance of Individual Tasks for Primary Care Physicians and Nurses

    PCPs (n = 721)Nurses (n = 598)P Value
    Gathering patient preventive services utilization history (eg, immunization history)3.33 (0.92)3.30 (0.89).73
    Screening patients for diseases (eg, doing a depression screen)3.35 (0.90)3.30 (0.91).85
    Assessing patient lifestyle factors3.25 (0.84)3.60 (0.65)<.01
    Receiving messages from patients3.70 (0.60)3.75 (0.58).08
    Resolving messages from patients (other than requests for prescriptions)3.49 (0.73)3.72 (0.62)<.01
    Responding to prescription refill requests3.06 (1.04)3.51 (0.75)<.01
    Encouraging lifestyle modifications3.17 (0.88)3.70 (0.56)<.01
    Educating patients about disease-specific self-care activities (eg, foot care in diabetes)3.11 (0.94)3.63 (0.65)<.01
    Educating patients about medications2.87 (0.97)3.47 (0.76)<.01
    Evaluating patients and making treatment decisions2.64 (1.02)2.91 (1.10)<.01
    Completing forms for patients2.20 (1.11)2.41 (1.11)<.01
    Responding to requests for home health care orders2.67 (1.12)2.69 (1.14)0.40
    Responding to patient diagnostic and treatment data (eg, laboratory tests, radiology studies)2.58 (1.10)3.00 (1.03)<.01
    Following-up on referrals (eg, to specialists)2.49 (1.09)2.95 (1.02)<.01
    • PCPs, primary care providers.

    • View popup
    Appendix Table 2.

    Association of Task Delegation/Reliance with Burnout, by Task Groupings and Individual Tasks, Adjusting for Other Covariates*

    PCP BurnoutNurse Burnout
    In-visit data collection0.90 (0.66–1.21)1.09 (0.83–1.44)
        Gathering patient preventive services utilization history (eg, immunization history)1.02 (0.81–1.28)0.88 (0.72–1.08)
        Screening patients for diseases (eg, doing a depression screen)1.04 (0.83–1.31)0.92 (0.75–1.12)
        Assessing patient lifestyle factors0.76 (0.59–0.96)1.02 (0.77–1.35)
    Messages0.75 (0.54–1.04)0.95 (0.68–1.32)
        Responding to prescription refill requests0.75 (0.62–0.91)1.39 (1.07–1.80)
        Receiving messages from patients0.93 (0.67–1.29)1.46 (1.00–2.13)
        Resolving messages from patients (other than requests for prescriptions)1.05 (0.79–1.39)1.38 (0.99–1.93)
    Counseling/education0.70 (0.55–0.90)0.94 (0.66–1.33)
        Encouraging lifestyle modifications0.77 (0.61–0.97)1.04 (0.76–1.43)
        Educating patients about disease-specific self-care activities (eg, foot care in diabetes)0.82 (0.67–1.02)0.82 (0.62–1.09)
        Educating patients about medications0.73 (0.60–0.90)1.34 (1.03–1.75)
    Decision making0.77 (0.61–0.96)0.91 (0.73–1.13)
        Evaluating patients and making treatment decisions0.81 (0.68–0.97)1.27 (1.06–1.51)
        Completing forms for patients0.86 (0.73–1.01)1.21 (1.03–1.43)
        Responding to requests for home health care orders0.94 (0.79–1.11)1.24 (1.05–1.47)
        Responding to patient diagnostic and treatment data (eg, laboratory tests, radiology studies)0.81 (0.68–0.96)1.20 (1.00–1.44)
    Tracking data0.88 (0.73–1.06)0.94 (0.76–1.15)
        Tracking patient diagnostic data0.87 (0.73–1.03)1.14 (0.95–1.37)
        Following up on referrals (eg, to specialists)0.95 (0.80–1.13)1.45 (1.20–1.76)
    • Data are adjusted odds ratios (95% confidence intervals).

    • ↵* Model also includes appropriate staffing, recent turnover, presence of Patient Aligned Care Team coach, and duration of Veterans Affairs employment.

    • PCPs, primary care providers.

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The Journal of the American Board of Family     Medicine: 31 (1)
The Journal of the American Board of Family Medicine
Vol. 31, Issue 1
January-February 2018
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Task Delegation and Burnout Trade-offs Among Primary Care Providers and Nurses in Veterans Affairs Patient Aligned Care Teams (VA PACTs)
Samuel T. Edwards, Christian D. Helfrich, David Grembowski, Elizabeth Hulen, Walter L. Clinton, Gordon B. Wood, Linda Kim, Danielle E. Rose, Greg Stewart
The Journal of the American Board of Family Medicine Jan 2018, 31 (1) 83-93; DOI: 10.3122/jabfm.2018.01.170083

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Task Delegation and Burnout Trade-offs Among Primary Care Providers and Nurses in Veterans Affairs Patient Aligned Care Teams (VA PACTs)
Samuel T. Edwards, Christian D. Helfrich, David Grembowski, Elizabeth Hulen, Walter L. Clinton, Gordon B. Wood, Linda Kim, Danielle E. Rose, Greg Stewart
The Journal of the American Board of Family Medicine Jan 2018, 31 (1) 83-93; DOI: 10.3122/jabfm.2018.01.170083
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Keywords

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