Implementing practice facilitation in research: how facilitators spend their time guiding practices to improve blood pressure control.

BACKGROUND: Practice facilitators (PFs) coach practices through quality improvement (QI) initiatives aimed at enhancing patient outcomes and operational efficiencies. Practice facilitation is a dynamic intervention that, by design, is tailored to practices' unique needs and contexts. Little research has explored the amount of time PFs spend with practices on QI activities. This short report expands on previously published work that detailed a 12-month practice facilitation intervention as part of the Southeastern Collaboration to Improve Blood Pressure Control (SEC) trial, which focused on improving hypertension control among people living in rural settings in the southeastern USA. This report analyzes data on the time PFs spent to guide 32 primary care practices in implementing QI activities to support enhanced outcomes in patients with high blood pressure. METHODS: The SEC trial employed four certified PFs across all practice sites, who documented time spent: (1) driving to support practices; (2) working on-site with staff and clinicians; and (3) communicating remotely (phone, email, or video conference) with practice members. We analyzed the data using descriptive statistics to help understand time devoted to individual and aggregated tasks. Additionally, we explored correlations between practice characteristics and time spent with PFs. RESULTS: In aggregate, the PFs completed 416 visits to practices and spent an average of 130 (SD 65) min per visit driving to and from practices. The average time spent on-site per visit with practices was 87 (SD 37) min, while an average of 17 (SD 12) min was spent on individual remote communications. During the 12-month intervention, 1131 remote communications were conducted with practices. PFs spent most of their time with clinical staff members (n = 886 instances) or with practice managers alone (n = 670 instances) while relatively few on-site visits were conducted with primary care providers alone (n = 15). In 19 practices, no communications were solely with providers. No significant correlations were found between time spent on PF activities and a practices' percent of Medicaid and uninsured patients, staff-provider ratio, or federally qualified health center (FQHC) status. CONCLUSIONS: PFs working with practices serving rural patients with hypertension devote substantial time to driving, highlighting the importance of optimizing a balance between time spent on-site vs. communicating remotely. Most time spent was with clinical staff, not primary care providers. These findings may be useful to researchers and business leaders who design, test, and implement efficient facilitation services. TRIAL REGISTRATION: NIH ClinicalTrials.gov NCT02866669 . Registered on 15 August 2016. NHLBI AWARD number: PCS-1UH3HL130691.

The Key Driver Implementation Scale (KDIS) for practice facilitators: Psychometric testing in the "Southeastern collaboration to improve blood pressure control" trial.

BACKGROUND: Practice facilitators (PFs) provide tailored support to primary care practices to improve the quality of care delivery. Often used by PFs, the "Key Driver Implementation Scale" (KDIS) measures the degree to which a practice implements quality improvement activities from the Chronic Care Model, but the scale's psychometric properties have not been investigated. We examined construct validity, reliability, floor and ceiling effects, and a longitudinal trend test of the KDIS items in the Southeastern Collaboration to Improve Blood Pressure Control trial. METHODS: The KDIS items assess a practice's progress toward implementing: a clinical information system (using their own data to drive change); standardized care processes; optimized team care; patient self-management support; and leadership support. We assessed construct validity and estimated reliability with a multilevel confirmatory factor analysis (CFA). A trend test examined whether the KDIS items increased over time and estimated the expected number of months needed to move a practice to the highest response options. RESULTS: PFs completed monthly KDIS ratings over 12 months for 32 primary care practices, yielding a total of 384 observations. Data was fitted to a unidimensional CFA model; however, parameter fit was modest and could be improved. Reliability was 0.70. Practices started scoring at the highest levels beginning in month 5, indicating low variability. The KDIS items did show an upward trend over 12 months (all p < .001), indicating that practices were increasingly implementing key activities. The expected time to move a practice to the highest response category was 9.1 months for standardized care processes, 10.2 for clinical information system, 12.6 for self-management support, 13.1 for leadership, and 14.3 months for optimized team care. CONCLUSIONS: The KDIS items showed acceptable reliability, but work is needed in larger sample sizes to determine if two or more groups of implementation activities are being measured rather than one.

The STUN (STop UNhealthy) Alcohol Use Now trial: study protocol for an adaptive randomized trial on dissemination and implementation of screening and management of unhealthy alcohol use in primary care.

BACKGROUND: Unhealthy alcohol use is a leading cause of preventable deaths in the USA and is associated with many societal and health problems. Less than a third of people who visit primary care providers in the USA are asked about or ever discuss alcohol use with a health professional. METHODS/DESIGN: This study is an adaptive, randomized, controlled trial to evaluate the effect of primary care practice facilitation and telehealth services on evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use in small-to-medium-sized primary care practices. Study participants will include primary care practices in North Carolina with 10 or fewer providers. All enrolled practices will receive a practice facilitation intervention that includes quality improvement (QI) coaching, electronic health record (EHR) support, training, and expert consultation. After 6 months, practices in the lower 50th percentile (based on performance) will be randomized to continued practice facilitation or provision of telehealth services plus ongoing facilitation for the next 6 months. Practices in the upper 50th percentile after the initial 6 months of intervention will continue to receive practice facilitation alone. The main outcome measures include the number (and %) of patients in the target population who are screened for unhealthy alcohol use, screen positive, and receive brief counseling. Additional measures include the number (and %) of patients who receive pharmacotherapy for AUD or are referred for AUD services. Sample size calculations determined that 35 practices are needed to detect a 10% increase in the main outcome (percent screened for unhealthy alcohol use) over 6 months. DISCUSSION: A successful intervention would significantly reduce morbidity among adults from unhealthy alcohol use by increasing counseling and other treatment opportunities. The study will produce important evidence about the effect of practice facilitation on uptake of evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use when delivered on a large scale to small and medium-sized practices. It will also generate scientific knowledge about whether embedded telehealth services can improve the use of evidence-based screening and interventions for practices with slower uptake. The results of this rigorously conducted evaluation are expected to have a positive impact by accelerating the dissemination and implementation of evidence related to unhealthy alcohol use into primary care practices. TRIAL REGISTRATION: ClinicalTrials.gov NCT04317989 . Registered on March 23, 2020.

Successful Trial of Practice Facilitation for Plan, Do, Study, Act Quality Improvement.

BACKGROUND: Practice facilitation (PF) is a promising but relatively new intervention supporting data-driven practice change. There is a need to better detail research-based facilitation methods, which must balance intervention fidelity and time restrictions with the flexibility required for the intervention. As part of a multi-level 4-armed cluster randomized clinical trial (RCT), 32 rural primary care practices received PF for 1 year. We evaluated the feasibility of having facilitators guide practices to perform 4 key driver domain activities, implemented as Plan-Do-Study-Act (PDSA) cycles, to better understand facilitation "exposure." We describe the intervention and activity length such that our experiences may be useful to other PF research efforts. METHODS: Thirty-two practices serving rural patients involved in the Southeastern Collaboration to Improvement Blood Pressure Control engaged with a facilitator to develop and implement PDSAs nested within key drivers of change domains. Numbers of months practices worked on activities deemed most likely to be sustained were captured along with practice satisfaction data. RESULTS: All practices engaged in at least 4 domain-level activities, and 59% of the PDSAs were active for at least 3 months. There was variation by domain in the average length of the PDSA activities. Ninety-seven percent (31 of 32) of practices recommended similarly structured facilitation services to other primary care practices, and 84% (27 of 32) noted substantive changes in their care processes. CONCLUSION: In this trial, it was feasible for PFs to engage practices in at least 4 Key Driver quality improvement activities within 1 year, which will inform PF methods and protocol development in future trials.

A controlled trial of dissemination and implementation of a cardiovascular risk reduction strategy in small primary care practices.

OBJECTIVE: To assess the effect of dissemination and implementation of an intervention consisting of practice facilitation and a risk-stratified, population management dashboard on cardiovascular risk reduction for patients at high risk in small, primary care practices. STUDY SETTING: A total of 219 small primary care practices (≤10 clinicians per site) across North Carolina with primary data collection from electronic health records (EHRs) from the fourth quarter of 2015 through the second quarter of 2018. STUDY DESIGN: We performed a stepped-wedge, stratified, cluster randomized trial of a one-year intervention consisting of practice facilitation utilizing quality improvement techniques coupled with a cardiovascular dashboard that included lists of risk-stratified adults, aged 40-79 years and their unmet treatment opportunities. The primary outcome was change in 10-Year ASCVD Risk score among all patients with a baseline score ≥10 percent from baseline to 3 months postintervention. DATA COLLECTION/ EXTRACTION METHODS: Data extracts were securely transferred from practices on a nightly basis from their EHR to the research team registry. PRINCIPLE FINDINGS: ASCVD risk scores were assessed on 437 556 patients and 146 826 had a calculated 10-year risk ≥10 percent. The mean baseline risk was 23.4 percent (SD ± 12.6 percent). Postintervention, the absolute risk reduction was 6.3 percent (95% CI 6.3, 6.4). Models considering calendar time and stepped-wedge controls revealed most of the improvement (4.0 of 6.3 percent) was attributable to the intervention and not secular trends. In multivariate analysis, male gender, age >65 years, low-income (<$40 000), and Black race (P < .001 for all variables) were each associated with greater risk reductions. CONCLUSION: A risk-stratified, population management dashboard combined with practice facilitation led to substantial reductions of 10-year ASCVD risk for patients at high risk. Similar approaches could lead to effective dissemination and implementation of other new evidence, especially in rural and other under-resourced practices. Registration: ClinicalTrials.Gov 15-0479.

Practice level factors associated with enhanced engagement with practice facilitators; findings from the heart health now study.

BACKGROUND: Practice facilitation is a promising strategy to enhance care processes and outcomes in primary care settings. It requires that practices and their facilitators engage as teams to drive improvement. In this analysis, we explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month practice facilitation intervention focused on implementing cardiovascular prevention activities in practice. Understanding factors associated with greater engagement with facilitators in practice-based quality improvement can assist practice facilitation programs with planning and resource allocation. METHODS: One hundred thirty-six ambulatory care small to medium sized primary care practices that participated in the EvidenceNow initiative's NC Cooperative, named Heart Health Now (HHN), fit the eligibility criteria for this analysis. We explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month intervention using a retrospective cohort design that included baseline survey data, monthly practice activity implementation data and information about facilitator's experience. Generalized linear mixed-effects models (GLMMs) identified variables associated with greater odds of team engagement using an ordinal scale for level of team engagement. RESULTS: Among our practice cohort, over half were clinician-owned and 27% were Federally Qualified Health Centers. The mean number of clinicians was 4.9 (SD 4.2) and approximately 40% of practices were in Medically Underserved Areas (MUA). GLMMs identified a best fit model. The Model presented as odd ratios and 95% confidence intervals suggests greater odds ratios of higher team engagement with greater practice QI leadership 17.31 (5.24-57.19), [0.00], and practice location in a MUA 7.25 (1.8-29.20), [0.005]. No facilitator characteristics were independently associated with greater engagement. CONCLUSIONS: Our analysis provides information for practice facilitation stakeholders to consider when considering which practices may be more amendable to embracing facilitation services.