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Research ArticleOriginal Articles

Facilitators of Transforming Primary Care: A Look Under the Hood at Practice Leadership

Katrina E. Donahue, Jacqueline R. Halladay, Alison Wise, Kristin Reiter, Shoou-Yih Daniel Lee, Kimberly Ward, Madeline Mitchell and Bahjat Qaqish
The Annals of Family Medicine May 2013, 11 (Suppl 1) S27-S33; DOI: https://doi.org/10.1370/afm.1492
Katrina E. Donahue
1University of North Carolina Department of Family Medicine, Chapel Hill, North Carolina
2Cecil G. Sheps Center for Health Services Research, Chapel Hill, North Carolina
MD, MPH
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  • For correspondence: kdonahue@med.unc.edu
Jacqueline R. Halladay
1University of North Carolina Department of Family Medicine, Chapel Hill, North Carolina
2Cecil G. Sheps Center for Health Services Research, Chapel Hill, North Carolina
MD, MPH
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Alison Wise
3University of North Carolina, Gillings School of Global Public Health, Department of Biostatistics, Chapel Hill, North Carolina
BS
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Kristin Reiter
4University of North Carolina, Gillings School of Global Public Health, Department of Health Policy and Management, Chapel Hill, North Carolina
PhD
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Shoou-Yih Daniel Lee
5University of Michigan School of Public Health Department of Health Management and Policy, Ann Arbor, Michigan
PhD
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Kimberly Ward
2Cecil G. Sheps Center for Health Services Research, Chapel Hill, North Carolina
BA
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Madeline Mitchell
2Cecil G. Sheps Center for Health Services Research, Chapel Hill, North Carolina
MURP
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Bahjat Qaqish
3University of North Carolina, Gillings School of Global Public Health, Department of Biostatistics, Chapel Hill, North Carolina
PhD
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Article Figures & Data

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    Table 1

    Practice Characteristics

    CharacteristicAll Practices (N=76)Interviewed Practices (n=12)
    Quality focus, No. (%)
     Diabetes51 (67)7 (58)
     Asthma25 (33)5 (42)
    Service area, No. (%)
     Rural37 (49)6 (50)
     Urban39 (51)6 (50)
    Clinicians, No. (%)
     ≤318 (24)5 (42)
     4–626 (34)2 (17)
     ≥732 (41)5 (42)
    Practice specialty, No. (%)
     Family medicine42 (55)7 (58)
     Pediatric medicine20 (26)4 (33)
     Internal medicine10 (13)1 (8)
     Mixed4 (5)0 (0)
    Practice type, academic, No. (%)6 (8)2 (17)
    Insurance
     Medicaid, median %2030
     Uninsured, median %48
    Affiliated with CCNC Medicaid Network, No. (%)65 (85)12 (100)
    Practice visits per day, median No.6043
    Use of EHR, No. (%)38 (50)9 (75)
    PCMH recognition by NCQA, No. (%)
     Have recognition22 (29)6 (50)
     Actively working on recognition17 (23)4 (34)
    Improved in first year: diabetes measures, No. (%)
     Hemoglobin A1c <9%25 (50)–
     LDL cholesterol <100 mg/dL23 (55)–
     Blood pressure <130/80 mm Hg33 (73)–
     Annual eye examination35 (78)–
     Nephropathy screening34 (77)–
    Improved in first year: asthma measures, No. (%)
     Severity assessed17 (68)–
     Annual influenza vaccine19 (76)–
     Bundled measure (assessed, influenza vaccine, controller medication use)16 (70)–
    • CCNC = Community Care of North Carolina; EHR = electronic health record; LDL = low-density lipoprotein; NCQA = National Committee for Quality Assurance; PCMH = patient-centered medical home.

    • Note: For the All Practices column, the number of practices having data was fewer than 76 for the measures of Medicaid insurance (n = 67), uninsured (n = 68), and practice visits per day (n = 64).

    • View popup
    Table 2

    Association of Higher Leadership With the Proportion of Patients Within a Practice Achieving Various Clinical Measures

    ModelNephropathy ScreeningYearly Eye ExaminationLDL Cholesterol <100 mg/dLBlood Pressure <130/80 mm HgHemoglobin A1c <9%
    Model 1
     Leadership1.51 (1.20–1.90)1.13 (0.93–1.37)1.02 (0.87–1.20)1.07 (0.91–1.26)1.07 (0.92–1.25)
    <.001.23.77.43.39
    Model 2
     Leadership (adjusted for engagement)1.37 (1.08–1.74)1.04 (0.86–1.25)1.06 (0.91–1.23)1.10 (0.94–1.28)1.08 (0.93–1.26)
    .01.68.48.25.31
     Engagement (adjusted for leadership)1.26 (1.06–1.51)1.21 (1.02–1.43)0.93 (0.82–1.05)0.94 (0.80–1.11)0.97 (0.77–1.23)
    .01.03.25.49.83
    • LDL=low-density lipoprotein cholesterol.

    • Note: Values are odds ratios (95% CIs) and P values. Values were adjusted for time.

    • View popup
    Table 3

    Association of Higher Leadership With Practice Levels of Implementation of Various Tools

    ModelRegistryTemplates for Planned CareProtocolsSelf-Management Support
    Model 1
     Leadership1.92 (1.07–3.42)6.78 (4.02–11.44)5.23 (2.99–9.14)3.66 (2.26–5.91)
    .03<.0001<.0001<.0001
    Model 2
     Leadership (adjusted for engagement)1.24 (0.66–2.34)4.20 (2.44–7.23)3.53 (1.99–6.25)2.41 (1.54–3.79)
    .50<.001<.001<.0001
     Engagement (adjusted for leadership)2.50 (1.41–4.42)3.30 (1.87–5.82)2.81 (1.66–4.77)2.80 (1.74–4.50)
    .002<.001<.001<.001
    • Note: Values are odds ratios (95% CIs) and P values. Values were adjusted for time.

Additional Files

  • Tables
  • Supplemental Appendixes 1-2

    Supplemental Appendix 1. Contextual Factors Relevant for Understanding and Transporting Findings From Transforming Primary Care in North Carolina Study; Supplemental Appendix 2. Practice Coach Assessment Ratings

    Files in this Data Supplement:

    • Supplemental data: Appendix 1 - PDF file, 4 pages, 193 KB
    • Supplemental data: Appendix 2 - PDF file, 3 pages, 193 KB
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The Annals of Family Medicine: 11 (Suppl 1)
The Annals of Family Medicine: 11 (Suppl 1)
Vol. 11, Issue Suppl 1
May/June 2013
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Facilitators of Transforming Primary Care: A Look Under the Hood at Practice Leadership
Katrina E. Donahue, Jacqueline R. Halladay, Alison Wise, Kristin Reiter, Shoou-Yih Daniel Lee, Kimberly Ward, Madeline Mitchell, Bahjat Qaqish
The Annals of Family Medicine May 2013, 11 (Suppl 1) S27-S33; DOI: 10.1370/afm.1492

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Facilitators of Transforming Primary Care: A Look Under the Hood at Practice Leadership
Katrina E. Donahue, Jacqueline R. Halladay, Alison Wise, Kristin Reiter, Shoou-Yih Daniel Lee, Kimberly Ward, Madeline Mitchell, Bahjat Qaqish
The Annals of Family Medicine May 2013, 11 (Suppl 1) S27-S33; DOI: 10.1370/afm.1492
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