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Research ArticleOriginal Research

Effective Facilitator Strategies for Supporting Primary Care Practice Change: A Mixed Methods Study

Shannon M. Sweeney, Andrea Baron, Jennifer D. Hall, David Ezekiel-Herrera, Rachel Springer, Rikki L. Ward, Miguel Marino, Bijal A. Balasubramanian and Deborah J. Cohen
The Annals of Family Medicine September 2022, 20 (5) 414-422; DOI: https://doi.org/10.1370/afm.2847
Shannon M. Sweeney
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
PhD, MPH
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  • For correspondence: sweenesh@ohsu.edu
Andrea Baron
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
MPH
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Jennifer D. Hall
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
MPH
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David Ezekiel-Herrera
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
MS
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Rachel Springer
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
MS
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Rikki L. Ward
2Department of Epidemiology, Human Genetics, and Environmental Science, UTHealth School of Public Health, Dallas, Texas
MPH
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Miguel Marino
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
PhD
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Bijal A. Balasubramanian
2Department of Epidemiology, Human Genetics, and Environmental Science, UTHealth School of Public Health, Dallas, Texas
MBBS, PhD
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Deborah J. Cohen
1Department of Family Medicine, Oregon Health & Science University, Portland, Oregon
PhD
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  • Figure 1.
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    Figure 1.

    Numbers of facilitators and practices.

    ABS = aspirin use for high-risk patients; CPCQ = Change Process Capability Questionnaire.

    Notes: Numbers of practices that improved on the CPCQ score and on the aspirin, blood pressure, and smoking measures are not mutually exclusive and add up to more than the total number of practices with high change capacity or low change capacity.

    a More effective: ≥75% of facilitator’s practices had improved CPCQ scores and/or ABS performance; less effective: <50% of facilitator’s practices had improved CPCQ scores and/or ABS performance. A total of 53 facilitators with 740 practices were neither more nor less effective, and were excluded from effectiveness analyses.

    b Assessed from baseline CPCQ score, dichotomized at the median value as high (score ≥11) or low (score <11).

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    Figure 2.

    Distribution of mean change in ABS composite measure between more and less effective facilitators, stratified by practice baseline change capacity and baseline performance.

    ABS = aspirin use, blood pressure control, smoking cessation counseling. CPCQ = Change Process Capability Questionnaire.

    Notes: Plots show absolute changes in percentages, so the magnitude of the difference is small, but across the baseline characteristics, practices with more effective facilitators tended to have higher changes in the ABS composite measure.

    a Assessed from baseline CPCQ score, dichotomized at the median value as high (score ≥11) or low (score <11).

    b Assessed from percentage of patients meeting composite ABS outcome at baseline, dichotomized at the median value as high (≥65%) or low (<65%).

    c More effective: ≥75% of facilitator’s practices had improved CPCQ scores and/or ABS performance; less effective: <50% of facilitator’s practices had improved CPCQ scores and/or ABS performance.

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    Table 1.

    Practice and Facilitator Numbers by Cooperative

    Group and MeasureCoop 1Coop 2Coop 3Coop 4Coop 5Coop 6Coop 7Total
    Practices
    Number participating2452252742052162112541,630
    Number having external facilitator2452252742051662112541,580
    Facilitators
    Number  31  17  17  16  15  39  23  158
    Number having ≥4 practices  18  16  17  15  12  19  19  116
    Effectiveness of facilitators having ≥4 practicesa
          Number more effective  12    5    6    2    0    6    2  33
          Number less effective    2    3    2    2  11    3    7  30
    • ABS = aspirin use for high-risk patients, blood pressure control, smoking cessation counseling; Coop = cooperative; CPCQ = Change Process Capability Questionnaire.

    • ↵a More effective: ≥75% of facilitator’s practices had improved CPCQ scores and/or ABS performance; less effective: <50% of facilitator’s practices had improved CPCQ scores and/or ABS performance. A total of 53 facilitators who were neither more effective nor less effective were excluded from effectiveness analyses.

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    Table 2.

    Trial Data Collection and Analysis Timeline

    Phase and ComponentsSpecific Activities
    Preintervention phase: Sep 2015-Mar 2017
        Quantitative data collectionBaseline surveys (practice survey, practice member survey)
    Intervention phase: Dec 2015-Nov 2017
        Quantitative data collection: Dec 2015-Nov 2017aQuarterly ABS reports
        Qualitative data collection: Jul 2016-Apr 2017Interviews with 80 study participants:
    • 41 Facilitators

    • 39 Leaders of facilitator organizations and cooperatives

    Postintervention phase: Nov 2016-Apr 2018
        Quantitative data collection: Nov 2016-Dec 2017Postintervention surveys (practice survey, practice member survey)
        Qualitative data collection: Sep 2017-Aug 2018Interviews with 74 facilitators:
    • 28 Previously interviewed during intervention phase

    • 46 Newly interviewed

    Analysis phase: Mar 2020-Dec 2021
        Quantitative data analysesAnalyses of descriptive data from 162 facilitators (158 external, 4 internal)
        Qualitative data analysesAnalyses based on interviews with 36 of 87 facilitators interviewed:
    • 23 More effective facilitators

    • 13 Less effective facilitators

    • ABS = aspirin use for high-risk patients, blood pressure control, smoking cessation counseling.

    • ↵a The active interventions ranged in duration from 3 to 18 months.

    • View popup
    Table 3.

    Outcomes by Facilitator Effectiveness and Practice Baseline Change Capacity

    OutcomeMore Effective FacilitatorLess Effective FacilitatorAll
    High CapacityLow CapacityHigh CapacityLow Capacity
    Change in percentage of patients meeting ABS measurea
        Aspirin, mean (SD) %10 (22)6 (16)0 (10)1 (10)4 (16)
        Blood pressure, mean (SD) %4 (14)2 (14)2 (9)2 (13)2 (13)
        Smoking, mean (SD) %11 (17)9 (22)1 (14)0 (11)6 (18)
    Change in CPCQ score, mean (SD) pointsb−2.7 (9.8)17.8 (13.9)−3.1 (9.5)11.7 (10.6)5.9 (14.5)
    • ABS = aspirin use for high-risk patients, blood pressure control, smoking cessation counseling; CMS = Centers for Medicare and Medicaid Services; CPCQ = Change Process Capability Questionnaire.

    • Notes: See Table 1 footnotes for definitions of more and less effective facilitators. See Figure 1 footnotes for definitions of practice baseline change capacity.

    • ↵a Absolute difference between percentage of patients meeting metric at follow-up and at baseline. Theoretical range: −100% (practice went from all eligible patients meeting CMS performance measure at baseline to none at follow-up) to 100% (practice went from no eligible patients meeting CMS performance measure at baseline to all at follow-up).

    • ↵b Difference between score at follow-up and at baseline. Theoretical range following above logic: −56 (practice went from highest to lowest change capacity) to 56 (practice went from lowest to highest change capacity).

    • View popup
    Table 4.

    Summary of Strategies Used and Articulation of Strategies by More and Less Effective Facilitators

    Facilitator EffectivenessCultivating Motivation, Tailoring, and Addressing ResistanceGuiding Practices Though the Change ProcessArticulating Strategies to Help Practices
    More effectiveAligned EvidenceNOW work with other payer initiatives or practice goals.
    Used formal assessment tools or casual conversations to assess practice readiness to change and QI capacity.
    Addressed resistance directly and worked with practice to overcome barriers (eg, suggesting smaller tests of change, working with EHR vendors, helping reallocate tasks among team members).
    Identified pain points through conversation with the practice and discussed next steps.
    Shared ideas from other practices (cross-pollination) such as on workflows and patient education and helped tailor to the local context to make changes appropriate across diverse practice settings.
    Provided project management support (eg, agenda setting, note-taking, summarizing action items, assigning tasks to team members, providing reminders).
    Yes—were able to speak in detail about the work they did in specific practices, how this work was tailored, and which changes likely led to improvements.
    Less effectiveShowed less evidence of motivating and tailoring.
    Cited practice resistance as preventing work from being done. Described not wanting to push the practice too hard.
    Held didactic meetings with education alone.
    Did the work for the practice.
    Presented options for the change process, but did not push the practice to identify their next steps.
    Some did not have structured meetings; emphasis was on just being present in the practice.
    No—when asked about work done in specific practices, answers were limited to the facilitator’s overall approach and to description of presentations and materials used.
    • EHR = electronic health record; QI = quality improvement.

Additional Files

  • Figures
  • Tables
  • SUPPLEMENTAL DATA IN PDF BELOW

    Supplemental Table 1. EvidenceNOW Clinical Quality Outcome Measures
    Supplemental Appendix 1. Practice Facilitator In-Person Interview
    Supplemental Appendix 2. Practice Facilitator Phone Interview

    • Sweeney_Supp.pdf
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The Annals of Family Medicine: 20 (5)
The Annals of Family Medicine: 20 (5)
Vol. 20, Issue 5
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Effective Facilitator Strategies for Supporting Primary Care Practice Change: A Mixed Methods Study
Shannon M. Sweeney, Andrea Baron, Jennifer D. Hall, David Ezekiel-Herrera, Rachel Springer, Rikki L. Ward, Miguel Marino, Bijal A. Balasubramanian, Deborah J. Cohen
The Annals of Family Medicine Sep 2022, 20 (5) 414-422; DOI: 10.1370/afm.2847

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Effective Facilitator Strategies for Supporting Primary Care Practice Change: A Mixed Methods Study
Shannon M. Sweeney, Andrea Baron, Jennifer D. Hall, David Ezekiel-Herrera, Rachel Springer, Rikki L. Ward, Miguel Marino, Bijal A. Balasubramanian, Deborah J. Cohen
The Annals of Family Medicine Sep 2022, 20 (5) 414-422; DOI: 10.1370/afm.2847
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