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Brief ReportBrief Report

Designing and Evaluating a Prediabetes Shared Decision Aid

Beth A. Careyva, Kyle Shaak, Nicole M. Burgess, Melanie B. Johnson, Elaine Seaton Banerjee, Yoonjie Chung, Allison N. Davis and Colleen Payton
The Journal of the American Board of Family Medicine March 2020, 33 (2) 262-270; DOI: https://doi.org/10.3122/jabfm.2020.02.190070
Beth A. Careyva
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
MD
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Kyle Shaak
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
MPH
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Nicole M. Burgess
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
BS
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Melanie B. Johnson
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
MPA
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Elaine Seaton Banerjee
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
MD, MPH
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Yoonjie Chung
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
MD
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Allison N. Davis
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
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Colleen Payton
From the Lehigh valley health network, Department of Family Medicine, Allentown, PA (BAC, KS, NMB, MBJ, ESB, YC); Moravian College, Bethlehem, PA (AND, CP).
PhD, MPH
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Article Figures & Data

Figures

  • Tables
  • Figure 1.
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    Figure 1.

    PDSA Cycle for Development of Prediabetes Shared Decision Aid.

  • Figure A1.
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    Figure A1.
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    Figure A1.

    Prediabetes Shared Decision Aid.

Tables

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    Table 1.

    Patient and Stakeholder Advisory Committee’s Partnership Self-Assessment Tool Results (n = 8)

    Section 1TrueFalseDon’t Know
    I was notified of this meeting with sufficient notice.88%12%—
    The meeting started and ended on time.88%12%—
    Section 2Strongly AgreeAgreeNeutralDisagreeStrongly Disagree
    The agenda is clear.88%12%———
    The objectives are appropriate.75%25%———
    The location of the meeting is functional.75%25%———
    Information shared in this meeting is high yield.88%12%———
    The handouts are useful.75%25%———
    This meeting was productive.88%12%———
    The action or follow-up plan is clearly communicated.75%25%———
    The purpose and function of this committee is well-defined.71%29%———
    Section 3Strongly AgreeAgreeNeutralDisagreeStrongly Disagree
    I am generally satisfied with the activities of the partnership.50%50%———
    I have a sense of ownership in what the partnership does and accomplishes.57%29%14%——
    Participation in the partnership has increased my knowledge and understanding of the other organizations represented.50%25%25%——
    I feel comfortable talking openly and honestly at partnership meetings.63%37%———
    I am comfortable bringing new ideas to the partnership meetings.63%37%———
    Partnership members respect each other’s points of view even when they disagree.100%————
    I am satisfied with the progress that has been made by the partnership to study the problem.71%29%———
    All members of the partnership have a voice in decisions made by the group.88%12%———
    • View popup
    Table 2.

    Patient Demographic Characteristics (n = 50)

    Demographicsn (%)/M (S.D.)
    Race
     Black or African American5(10%)
     White or Caucasian38(76%)
     Other7(14%)
    Ethnicity 
     Hispanic or Latino9(18%)
     Not Hispanic or Latino40(80%)
     Patient Declined/Refused1(2%)
    Sex 
     Female33(66%)
     Male17(34%)
    Age 
     18 to 353(6%)
     36 to 509(18%)
     51 to 6017(34%)
     61 to 7016(32%)
     71 to 755(10%)
    A1c completed in past 2 years43(86%)
    Average A1c (%)6.00.19
    Average days between patients’ most recent A1c lab and the shared decision aid intervention189140
    Average number of visits in 24 months6.225.32
    • Note. M, mean; S.D., standard deviation.

    • View popup
    Table 3.

    Patient Post-Intervention and 6-Week Survey

    Survey QuestionsStrongly AgreeAgreeNeutralDisagreeStrongly Disagree
    Initial post-encounter patient survey (n = 50)
     My doctor and I made a decision together about how to treat my prediabetes during my visit60%32%6%—2%
     I had an important role in the decision-making process66%28%6%——
     The shared decision-making tool prepared me to make a decision about my prediabetes prevention plan48%48%4%——
     The shared decision-making tool helped me think about the pros and cons of each option to prevent diabetes56%44%———
     The shared decision-making tool helped me think about which pros and cons are most important to me57%43%———
    6-week post-encounter patient survey (n = 30)
     I have been following the diabetes prevention plan most days13%70%10%—7%
     My plan reflects what my doctor and I discussed27%60%7%—7%
     I am considering changing my diabetes prevention plan7%20%23%30%20%
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The Journal of the American Board of Family  Medicine: 33 (2)
The Journal of the American Board of Family Medicine
Vol. 33, Issue 2
March/April 2020
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Designing and Evaluating a Prediabetes Shared Decision Aid
Beth A. Careyva, Kyle Shaak, Nicole M. Burgess, Melanie B. Johnson, Elaine Seaton Banerjee, Yoonjie Chung, Allison N. Davis, Colleen Payton
The Journal of the American Board of Family Medicine Mar 2020, 33 (2) 262-270; DOI: 10.3122/jabfm.2020.02.190070

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Designing and Evaluating a Prediabetes Shared Decision Aid
Beth A. Careyva, Kyle Shaak, Nicole M. Burgess, Melanie B. Johnson, Elaine Seaton Banerjee, Yoonjie Chung, Allison N. Davis, Colleen Payton
The Journal of the American Board of Family Medicine Mar 2020, 33 (2) 262-270; DOI: 10.3122/jabfm.2020.02.190070
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