Effect of facilitation on practice outcomes in the National Demonstration Project model of the patient-centered medical home

Strategic use of resources to enhance colorectal cancer screening for patients with diabetes (SURE: CRC4D) in federally qualified health centers: a protocol for hybrid type ii effectiveness-implementation trial

BACKGROUND

Persons with diabetes have 27% elevated risk of developing colorectal cancer (CRC) and are disproportionately from priority health disparities populations. Federally qualified health centers (FQHCs) struggle to implement CRC screening programs for average risk patients. Strategies to effectively prioritize and optimize CRC screening for patients with diabetes in the primary care safety-net are needed.

METHODS

Guided by the Exploration, Preparation, Implementation and Sustainment Framework, we conducted a stakeholder-engaged process to identify multi-level change objectives for implementing optimized CRC screening for patients with diabetes in FQHCs. To identify change objectives, an implementation planning group of stakeholders from FQHCs, safety-net screening programs, and policy implementers were assembled and met over a 7-month period. Depth interviews (n = 18-20) with key implementation actors were conducted to identify and refine the materials, methods and strategies needed to support an implementation plan across different FQHC contexts. The planning group endorsed the following multi-component implementation strategies: identifying clinic champions, development/distribution of patient educational materials, developing and implementing quality monitoring systems, and convening clinical meetings. To support clinic champions during the initial implementation phase, two learning collaboratives and bi-weekly virtual facilitation will be provided. In single group, hybrid type 2 effectiveness-implementation trial, we will implement and evaluate these strategies in a in six safety net clinics (n = 30 patients with diabetes per site). The primary clinical outcomes are: (1) clinic-level colonoscopy uptake and (2) overall CRC screening rates for patients with diabetes assessed at baseline and 12-months post-implementation. Implementation outcomes include provider and staff fidelity to the implementation plan, patient acceptability, and feasibility will be assessed at baseline and 12-months post-implementation.

DISCUSSION

Study findings are poised to inform development of evidence-based implementation strategies to be tested for scalability and sustainability in a future hybrid 2 effectiveness-implementation clinical trial. The research protocol can be adapted as a model to investigate the development of targeted cancer prevention strategies in additional chronically ill priority populations.

TRIAL REGISTRATION

This study was registered in ClinicalTrials.gov (NCT05785780) on March 27, 2023 (last updated October 21, 2023).

Clinics Optimizing MEthadone Take-homes for opioid use disorder (COMET): Protocol for a stepped-wedge randomized trial to facilitate clinic level changes

INTRODUCTION

Regulatory changes made during the COVID-19 public health emergency (PHE) that relaxed criteria for take-home dosing (THD) of methadone offer an opportunity to improve quality of care with a lifesaving treatment. There is a pressing need for research to study the long-term effects of the new PHE THD rules and to test data-driven interventions to promote more effective adoption by opioid treatment programs (OTPs). We propose a two-phase project to develop and test a multidimensional intervention for OTPs that leverages information from large State administrative data.

METHODS AND ANALYSIS

We propose a two-phased project to develop then test a multidimensional OTP intervention to address clinical decision making, regulatory confusion, legal liability concerns, capacity for clinical practice change, and financial barriers to THD. The intervention will include OTP THD specific dashboards drawn from multiple State databases. The approach will be informed by the Health Equity Implementation Framework (HEIF). In phase 1, we will employ an explanatory sequential mixed methods design to combine analysis of large state administrative databases-Medicaid, treatment registry, THD reporting-with qualitative interviews to develop and refine the intervention. In phase 2, we will conduct a stepped-wedge trial over three years with 36 OTPs randomized to 6 cohorts of a six-month clinic-level intervention. The trial will test intervention effects on OTP-level implementation outcomes and patient outcomes (1) THD use; 2) retention in care; and 3) adverse healthcare events). We will specifically examine intervention effects for Black and Latinx clients. A concurrent triangulation mixed methods design will be used: quantitative and qualitative data collection will occur concurrently and results will be integrated after analysis of each. We will employ generalized linear mixed models (GLMMs) in the analysis of stepped-wedge trials. The primary outcome will be weekly or greater THD. The semi-structured interviews will be transcribed and analyzed with Dedoose to identify key facilitators, barriers, and experiences according to HEIF constructs using directed content analysis.

DISCUSSION

This multi-phase, embedded mixed methods project addresses a critical need to support long-term practice changes in methadone treatment for opioid use disorder following systemic changes emerging from the PHE-particularly for Black and Latinx individuals with opioid use disorder. By combining findings from analyses of large administrative data with lessons gleaned from qualitative interviews of OTPs that were flexible with THD and those that were not, we will build and test the intervention to coach clinics to increase flexibility with THD. The findings will inform policy at the local and national level.

Facilitation of team-based care to improve HTN management and outcomes: a protocol for a randomized stepped wedge trial

BACKGROUND

There are well-established guidelines for treating hypertension (HTN), yet only half of patients with HTN meet the defined target of < 140/90. Team-based care (TBC) is an evidence-based strategy for improving blood pressure (BP) management and control. TBC is defined as the provision of health services by at least two health professionals "who work collaboratively with patients and their caregivers to accomplish shared goals to achieve coordinated, high-quality care". However, primary care practices experience challenges to implementing TBC principles and care processes; these are more pronounced in small independent practice settings (SIPs). Practice facilitation (PF) is an implementation strategy that may overcome barriers to adopting evidence-based TBC to improve HTN management in SIPs.

METHODS

Using a stepped wedge randomized controlled trial design, we will test the effect of PF on the adoption of TBC to improve HTN management in small practices (< 5 FTE clinicians) in New York City, and the impact on BP control compared with usual care. We will enroll 90 SIPs and randomize them into one of three 12-month intervention waves. Practice facilitators will support SIPs to adopt TBC principles to improve implementation of five HTN management strategies (i.e., panel management, population health, measuring BP, supporting medication adherence, self-management). The primary outcome is the adoption of TBC for HTN management measured at baseline and 12 months. Secondary outcomes include the rate of BP control and sustainability of TBC and BP outcomes at 18 months. Aggregated data on BP measures are collected every 6 months in all clusters so that each cluster provides data points in both the control and intervention conditions. Using a mixed methods approach, we will also explore factors that influence the effectiveness of PF at the organization and team level.

DISCUSSION

This study will provide much-needed guidance on how to optimize adoption and sustainability of TBC in independent primary care settings to reduce the burden of disease related to suboptimal BP control and advance understanding of how facilitation works to improve implementation of evidence-based interventions.

TRIAL REGISTRATION

ClinicalTrials.gov; NCT05413252 .

Use of the consolidated framework for implementation research in a mixed methods evaluation of the EQUIPPED medication safety program in four academic health system emergency departments

Background

Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department (EQUIPPED) is an effective quality improvement program initially designed in the Veterans Administration (VA) health care system to reduce potentially inappropriate medication prescribing for adults aged 65 years and older. This study examined factors that influence implementation of EQUIPPED in EDs from four distinct, non-VA academic health systems using a convergent mixed methods design that operationalized the Consolidated Framework for Implementation Research (CFIR). Fidelity of delivery served as the primary implementation outcome.

Materials and methods

Four EDs implemented EQUIPPED sequentially from 2017 to 2021. Using program records, we scored each ED on a 12-point fidelity index calculated by adding the scores (1-3) for each of four components of the EQUIPPED program: provider receipt of didactic education, one-on-one academic detailing, monthly provider feedback reports, and use of order sets. We comparatively analyzed qualitative data from focus groups with each of the four implementation teams (n = 22) and data from CFIR-based surveys of ED providers (108/234, response rate of 46.2%) to identify CFIR constructs that distinguished EDs with higher vs. lower levels of implementation.

Results

Overall, three sites demonstrated higher levels of implementation (scoring 8-9 of 12) and one ED exhibited a lower level (scoring 5 of 12). Two constructs distinguished between levels of implementation as measured through both quantitative and qualitative approaches: patient needs and resources, and organizational culture. Implementation climate distinguished level of implementation in the qualitative analysis only. Networks and communication, and leadership engagement distinguished level of implementation in the quantitative analysis only.

Discussion

Using CFIR, we demonstrate how a range of factors influence a critical implementation outcome and build an evidence-based approach on how to prime an organizational setting, such as an academic health system ED, for successful implementation.

Conclusion

This study provides insights into implementation of evidence-informed programs targeting medication safety in ED settings and serves as a potential model for how to integrate theory-based qualitative and quantitative methods in implementation studies.

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

PURPOSE

Practice facilitation is an evidence-informed implementation strategy to support quality improvement (QI) and aid practices in aligning with best evidence. Few studies, particularly of this size and scope, identify strategies that contribute to facilitator effectiveness.

METHODS

We conducted a sequential mixed methods study, analyzing data from EvidenceNOW, a large-scale QI initiative. Seven regional cooperatives employed 162 facilitators to work with 1,630 small or medium-sized primary care practices. Main analyses were based on facilitators who worked with at least 4 practices. Facilitators were defined as more effective if at least 75% of their practices improved on at least 1 outcome measure-aspirin use, blood pressure control, smoking cessation counseling (ABS), or practice change capacity, measured using Change Process Capability Questionnaire-from baseline to follow-up. Facilitators were defined as less effective if less than 50% of their practices improved on these outcomes. Using an immersion crystallization and comparative approach, we analyzed observational and interview data to identify strategies associated with more effective facilitators.

RESULTS

Practices working with more effective facilitators had a 3.6% greater change in the mean percentage of patients meeting the composite ABS measure compared with practices working with less effective facilitators (P <.001). More effective facilitators cultivated motivation by tailoring QI work and addressing resistance, guided practices to think critically, and provided accountability to support change, using these strategies in combination. They were able to describe their work in detail. In contrast, less effective facilitators seldom used these strategies and described their work in general terms. Facilitator background, experience, and work on documentation did not differentiate between more and less effective facilitators.

CONCLUSIONS

Facilitation strategies that differentiate more and less effective facilitators have implications for enhancing facilitator development and training, and can assist all facilitators to more effectively support practice changes.

Implementing a text-messaging intervention for unhealthy alcohol use in emergency departments: protocol for implementation strategy development and a pilot cluster randomized implementation trial

BACKGROUND

Unhealthy alcohol use (UAU) is a leading cause of premature mortality among adults in the USA. Emergency departments (EDs) are key intervention settings for UAU but often have limited time and resources. One low-burden, scalable approach to address UAU is text-messaging interventions. Despite strong research support and promise for scalability, there is little research on how to implement such interventions in healthcare settings. The process of providers making them available to patients in an efficient way within already busy and overburdened ED workflows and patients adopting them remains a new area of research. The purpose of this three-phase study is to develop and test an implementation strategy for UAU text-messaging interventions in EDs.

METHOD

Our first aim is to examine barriers and facilitators to staff offering and patients accepting a text-messaging intervention in the ED using an explanatory, sequential mixed methods approach. We will examine alcohol screening data in the electronic health records of 17 EDs within a large integrated health system in the Northeast and conduct surveys among chairpersons in each. This data will be used to purposively sample 4 EDs for semi-structured interviews among 20 clinical staff, 20 patients, and 4 chairpersons. Our second aim is to conduct a stakeholder-engaged intervention mapping process to develop a multi-component implementation strategy for EDs. Our third aim is to conduct a mixed method 2-arm cluster randomized pilot study in 4 EDs that serve ~11,000 UAU patients per year to assess the feasibility, acceptability, and preliminary effectiveness of the implementation strategy. The Integrated Promoting Action on Research Implementation in Health Services framework will guide study activities.

DISCUSSION

Low-burden technology, like text messaging, along with targeted implementation support and strategies driven by identified barriers and facilitators could sustain large-scale ED-based alcohol screening programs and provide much needed support to patients who screen positive while reducing burden on EDs. The proposed study would be the first to develop and test this targeted implementation strategy and will prepare for a larger, fully powered hybrid effectiveness-implementation trial. Findings may also be broadly applicable to implementation of patient-facing mobile health technologies.

TRIAL REGISTRATION

This study was registered at ClinicalTrials.gov (NCT05350878) on 4/28/2022.

Improving Follow-Up for Adolescents With Depression in Primary Care

BACKGROUND

Few adolescents with depression receive treatment in accordance with national guidelines. This quality improvement project took place in 11 primary care practices with the primary aim of increasing the percentage of teens with depression who received follow-up care within 6 weeks of diagnosis and within 3 months, once stable.

METHODS

The primary strategy was external practice facilitation for 12 months. The change process used goal setting and plan-do-study-act cycles to identify and implement change ideas. A preanalysis and postanalysis was completed to evaluate process change, provider confidence, and patient improvement.

RESULTS

Randomly selected samples of 199 and 217 charts of teens newly diagnosed with depression were reviewed before and after the intervention, respectively. Chart data for these measurements was provided by 10 and 9 practices, respectively. The percentage of patients with follow-up care within 6 weeks after diagnosis increased from 40% to 81% (P < .001), the percentage with a follow-up visit within 3 months once stable increased from 30% to 60% (P < .001), and the percentage in remission at 6 months increased from 7% to 21% (P < .001). Providers reported increased confidence to diagnose and manage depression, assess severity, provide pharmacotherapy, and educate families.

CONCLUSIONS

Practices improved follow-up care for teens with depression. In addition, providers experienced an improvement in their confidence to diagnose and manage depression. Working with a facilitator, each practice implemented standardized systems to provide effective care in the medical home, increase providers' confidence to address this common problem, and improve patient outcomes.

A Heart Healthy Intervention Improved Tobacco Screening Rates and Cessation Support in Primary Care Practices

We examined whether an evidence-based cardiovascular disease risk reduction intervention (Heart Health Now) would improve rates for tobacco cessation screening and counseling in small primary care practices in North Carolina. Heart Health Now was a stepped wedge, stratified, cluster randomized trial for primary care practices that were staffed by 10 or fewer clinicians and had an electronic health record. The Heart Health Now intervention consisted of education tools, onsite practice facilitation for one year, and a practice-specific cardiovascular population management dashboard that included monthly, measure-specific run charts to help guide quality improvement. Our primary outcomes were practice-level rates of tobacco screening and tobacco cessation support-extracted from practices' electronic health records-and measured at pre-intervention and 6 months post-intervention. The 28 practices included in our analyses represented 78,120 patients and 17,687 smokers. Significant change occurred in practices' tobacco screening rates and cessation support rates over time. From pre- to post-intervention, screening rates significantly increased from 82.7 to 96.2% (p < 0.001). Similarly, cessation support rates significantly increased from 44.3 to 50.1% (p = 0.03). Several practice-level factors were associated with improvement including being in an academic health center or faculty practice, having more clinicians, and having a lower percentage of White patients. In conclusion, a multi-component intervention focused on multiple cardiovascular disease risk reduction in multiple small primary care practices successfully improved rates of tobacco screening and cessation support.

Cardiovascular Disease Preventive Services Among Smaller Primary Care Practices

INTRODUCTION

Cardiovascular disease preventive services (aspirin use, blood pressure control, and smoking-cessation support) are crucial to controlling cardiovascular diseases. This study draws from 1,248 small-to-medium-sized primary care practices participating in the EvidenceNOW Initiative from 2015-2016 across 12 states to provide practice-level aspirin use, blood pressure control, and smoking-cessation support estimates; report the percentage of practices that meet Million Hearts targets; and identify the practice characteristics associated with better performance.

METHODS

This cross-sectional study utilized linear regression modeling (analyzed in 2020-2021) to examine the association of aspirin use, blood pressure control, and smoking-cessation support performance with practice characteristics that included structural attributes (e.g., size, ownership, rurality), practice capacity and contextual characteristics, health information technology, and patient panel demographics.

RESULTS

On average, practice performance on aspirin use, blood pressure control, and smoking-cessation support quality measures was 64% for aspirin, 63% for blood pressure, and 62% for smoking-cessation support. The 2012 Million Hearts goal of achieving the rates of 70% was achieved by 52% (aspirin), 32% (blood pressure), and 54% (smoking) of practices. Practice characteristics associated with aspirin use, blood pressure control, and smoking-cessation support performance included ownership (hospital/health system-owned practices had 11% higher aspirin performance than clinician-owned practices [p=0.001]), rurality (rural practices had lower performance than urban practices in all aspirin use, blood pressure control, and smoking-cessation support quality metrics [difference in aspirin=11.1%, p=0.001; blood pressure=4.2%, p=0.022; smoking=14.4%, p=0.009]), and disruptions (practices that experienced >1 major disruption showed lower aspirin performance [-7.1%, p<0.001]).

CONCLUSIONS

Achieving the Million Hearts targets may be assisted by collecting and reporting practice-level performance, which can promote change at the practice level and identify areas where additional support is needed to achieve initiative goals.

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.

Project ECHO for Nursing Homes: A Patient-centered, Randomized-controlled Trial to Implement Infection Control and Quality of Life Best Practices in Nursing Homes (Preprint)

Background

Nursing homes in the United States were devastated by COVID-19, with 710,000 cases and 138,000 deaths nationally through October 2021. Although facilities are required to have infection control staff, only 3% of designated infection preventionists have taken a basic infection control course prior to the COVID-19 pandemic. Most research has focused on infection control in the acute care setting. However, little is known about the implementation of infection control practices and effective interventions in nursing homes. This study utilizes Project ECHO (Extension for Community Health Outcomes), an evidence-based telementoring model, to connect Penn State University subject matter experts with nursing home staff and administrators to proactively support evidence-based infection control guideline implementation.

Objective

Our study seeks to answer the research question of how evidence-based infection control guidelines can be implemented effectively in nursing homes, including comparing the effectiveness of two ECHO-delivered training interventions on key patient-centered outcomes such as reducing the number of residents with a COVID-19 diagnosis.

Methods

A stratified cluster randomized design was utilized. Using a 1:1 ratio, we randomly assigned 136 nursing homes to ECHO or ECHO Plus arms. Randomization was stratified by geographic location, baseline COVID-19 infection rate, and facility capacity. The study had two phases. In phase one, completed in July 2021, nursing homes in both study arms received a 16-week infectious disease and quality improvement training intervention via real-time, interactive videoconferencing and the ECHO learning model. Phase one sessions were up to 90 minutes in duration. In phase two, completed in November 2021, the ECHO group was offered optional 60-minute office hours for 9 weeks and the ECHO Plus group received 9 weeks of 60-minute sessions on emerging topics and an additional 8-session refresher series on infection control.

Results

A total of 290 nursing home facilities were assessed for eligibility, with 136 nursing homes recruited and randomly assigned to ECHO or ECHO Plus. Guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, we will simultaneously evaluate the study’s effectiveness and implementation outcomes at baseline (intervention start date), and at 4, 6, 12, and 18 months. The primary outcome is the COVID-19 infection rate in nursing homes. Secondary outcomes include COVID-19 hospitalizations and deaths, flu-like illness, and quality of life. Surveys and interviews with participants will also provide data as to the adoption, implementation, and maintenance of best practices taught throughout ECHO sessions.

Conclusions

A multipronged approach to improving infection control and emergency preparedness in nursing homes is important, given the toll that the COVID-19 pandemic has taken on residents and staff. The ECHO model has significant strengths when compared to traditional training, as it allows for remote learning delivered by a multidisciplinary team of experts, and utilizes case discussions that match the context and capacity of nursing homes.

Trial Registration

ClinicalTrials.gov NCT04499391; https://clinicaltrials.gov/ct2/show/NCT04499391

Study protocol for a type III hybrid effectiveness-implementation trial of strategies to implement firearm safety promotion as a universal suicide prevention strategy in pediatric primary care

Background

Insights from behavioral economics, or how individuals’ decisions and behaviors are shaped by finite cognitive resources (e.g., time, attention) and mental heuristics, have been underutilized in efforts to increase the use of evidence-based practices in implementation science. Using the example of firearm safety promotion in pediatric primary care, which addresses an evidence-to-practice gap in universal suicide prevention, we aim to determine: is a less costly and more scalable behavioral economic-informed implementation strategy (i.e., “Nudge”) powerful enough to change clinician behavior or is a more intensive and expensive facilitation strategy needed to overcome implementation barriers?

Methods

The Adolescent and child Suicide Prevention in Routine clinical Encounters (ASPIRE) hybrid type III effectiveness-implementation trial uses a longitudinal cluster randomized design. We will test the comparative effectiveness of two implementation strategies to support clinicians’ use of an evidence-based firearm safety practice, S.A.F.E. Firearm, in 32 pediatric practices across two health systems. All pediatric practices in the two health systems will receive S.A.F.E. Firearm materials, including training and cable locks. Half of the practices (k = 16) will be randomized to receive Nudge; the other half (k = 16) will be randomized to receive Nudge plus 1 year of facilitation to target additional practice and clinician implementation barriers (Nudge+). The primary implementation outcome is parent-reported clinician fidelity to the S.A.F.E Firearm program. Secondary implementation outcomes include reach and cost. To understand how the implementation strategies work, the primary mechanism to be tested is practice adaptive reserve, a self-report practice-level measure that includes relationship infrastructure, facilitative leadership, sense-making, teamwork, work environment, and culture of learning.

Discussion

The ASPIRE trial will integrate implementation science and behavioral economic approaches to advance our understanding of methods for implementing evidence-based firearm safety promotion practices in pediatric primary care. The study answers a question at the heart of many practice change efforts: which strategies are sufficient to support change, and why? Results of the trial will offer valuable insights into how best to implement evidence-based practices that address sensitive health matters in pediatric primary care.

Trial registration

ClinicalTrials.gov, NCT04844021. Registered 14 April 2021.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13012-021-01154-8.

Practice Facilitation in Integrated Behavioral Health and Primary Care Settings: a Scoping Review

Little is known about the contributions of practice facilitators in settings aiming to deliver integrated behavioral health and primary care. This scoping review identifies peer-reviewed articles that describe efforts to deliver integrated behavioral health care with the support of practice facilitators. Five databases were systematically searched to identify empirical and conceptual papers. Fourteen articles met the following inclusion criteria: (1) empirical studies evaluating the effectiveness of practice facilitation (n = 4), (2) study protocols that will test the effectiveness of practice facilitation (n = 2), (3) studies that included practice facilitators as part of a larger intervention without evaluating their effectiveness (n = 5), and (4) conceptual manuscripts endorsing practice facilitation for integrated care (n = 3). Practice facilitators can potentially support health systems in delivering integrated behavioral health care, but future research is needed to understand their necessary qualifications, the effectiveness of practice facilitation these efforts, and what study outcomes are appropriate for evaluating whether practice facilitation has been effective.

Improving Smoking and Blood Pressure Outcomes: The Interplay Between Operational Changes and Local Context

PURPOSE

We undertook a study to identify conditions and operational changes linked to improvements in smoking and blood pressure (BP) outcomes in primary care.

METHODS

We purposively sampled and interviewed practice staff (eg, office managers, clinicians) from a subset of 104 practices participating in EvidenceNOW-a multisite cardiovascular disease prevention initiative. We calculated Clinical Quality Measure improvements, with targets of 10-point or greater absolute improvements in the proportion of patients with smoking screening and, if relevant, counseling and in the proportion of hypertensive patients with adequately controlled BP. We analyzed interview data to identify operational changes, transforming these into numeric data. We used Configurational Comparative Methods to assess the joint effects of multiple factors on outcomes.

RESULTS

In clinician-owned practices, implementing a workflow to routinely screen, counsel, and connect patients to smoking cessation resources, or implementing a documentation change or a referral to a resource alone led to an improvement of at least 10 points in the smoking outcome with a moderate level of facilitation support. These patterns did not manifest in health- or hospital system-owned practices or in Federally Qualified Health Centers, however. The BP outcome improved by at least 10 points among solo practices after medical assistants were trained to take an accurate BP. Among larger, clinician-owned practices, BP outcomes improved when practices implemented a second BP measurement when the first was elevated, and when staff learned where to document this information in the electronic health record. With 50 hours or more of facilitation, BP outcomes improved among larger and health- and hospital system-owned practices that implemented these operational changes.

CONCLUSIONS

There was no magic bullet for improving smoking or BP outcomes. Multiple combinations of operational changes led to improvements, but only in specific contexts of practice size and ownership, or dose of external facilitation.

The role of organizational learning and resilience for change in building quality improvement capacity in primary care

BACKGROUND

The extent that organizational learning and resilience for the change process, that is, adaptive reserve (AR), is a component of building practice capacity for continuous quality improvement (QI) is unknown.

PURPOSE

The aim of the study was to examine the association of AR and development of QI capacity.

METHODOLOGY

One hundred forty-two primary care practices were evaluated at baseline and 12 months in a randomized trial to improve care quality. Practice AR was measured by staff survey along with a validated QI capacity assessment (QICA). We assessed the association of baseline QICA with baseline AR and both baseline and change in AR with change in QICA from 0 to 12 months. Effect modification by presence of QI infrastructure in parent organizations and trial arm was examined.

RESULTS

Mean QICA increased from 6.5 to 8.1 (p < .001), and mean AR increased from 71.8 to 73.9 points (p < .001). At baseline, there was a significant association between AR and QICA scores: The QICA averaged 0.34 points higher (95% CI [0.04, 0.64], p = .03) per 10-point difference in AR. There was a significant association between baseline AR and 12-month QICA-which averaged 0.30 points higher (95% CI [0.02, 0.57], p = .04) per 10 points in baseline AR. There was no association between changes in AR and the QICA from 0 to 12 months and no effect modification by trial arm or external QI infrastructure.

CONCLUSIONS

Baseline AR was positively associated with both baseline and follow-up QI capacity, but there was no association between change in AR and change in the QICA, suggesting AR may be a precondition to growth in QI capacity.

PRACTICE IMPLICATIONS

Findings suggest that developing AR may be a valuable step prior to undertaking QI-oriented growth, with implications for sequencing of development strategies, including added gain in QI capacity development from building AR prior to engaging in transformation efforts.

Does coaching matter? Examining the impact of specific practice facilitation strategies on implementation of quality improvement interventions in the Healthy Hearts in the Heartland study

BACKGROUND

Practice facilitation is a multicomponent implementation strategy used to improve the capacity for practices to address care quality and implementation gaps. We sought to assess whether practice facilitators use of coaching strategies aimed at improving self-sufficiency were associated with improved implementation of quality improvement (QI) interventions in the Healthy Hearts in the Heartland Study.

METHODS

We mapped 27 practice facilitation activities to a framework that classifies practice facilitation strategies by the degree to which the practice develops its own process expertise (Doing Tasks, Project Management, Consulting, Teaching, and Coaching) and then used regression tree analysis to group practices by facilitation strategies experienced. Kruskal-Wallis tests were used to assess whether practice groups identified by regression tree analysis were associated with successful implementation of QI interventions and practice and study context variables.

RESULTS

There was no association between number of strategies performed by practice facilitators and number of QI interventions implemented. Regression tree analysis identified 4 distinct practice groups based on the number of Project Management and Coaching strategies performed. The median number of interventions increased across the groups. Practices receiving > 4 project management and > 6 coaching activities implemented a median of 17 of 35 interventions. Groups did not differ significantly by practice size, association with a healthcare network, or practice type. Statistically significant differences in practice location, number and duration of facilitator visits, and early study termination emerged among the groups, compared to the overall practice population.

CONCLUSIONS

Practices that engage in more coaching-based strategies with practice facilitators are more likely to implement more QI interventions, and practice receptivity to these strategies was not dependent on basic practice demographics.

A Cross-Sectional Analysis of Primary Care Practice Characteristics and Healthcare Professionals' Behavioral Responses to Change

The recent decade brought major changes to primary care practices. Previous research on change has focused on change processes, and change implementations rather than studying employee’s feelings, perceptions, and attitudes toward change. The objective of this cross-sectional study was to examine the relationship between healthcare professionals’ behavioral responses to change and practice characteristics. Our study, which builds upon Conner’s theory, addresses an extensive coverage of individual behaviors, feelings, and attitudes toward change. We analyzed survey responses of healthcare professionals (n = 1279) from 154 primary care practices in Virginia. Healthcare professionals included physicians, advanced practice clinicians, clinical support staff, and administrative staff. The Change Diagnostic Index^© (CDI) was used to measure behavioral responses in 7 domains: anxiety, frustration, delayed development, rejection of environment, refusal to participate, withdrawal, and global reaction. We used descriptive statistics and multivariate regression analysis. Our findings indicate that professionals had a significantly lower aptitude for change if they work in larger practices (≥16 clinicians) compared to solo practices (P < .05) and at hospital-owned practices compared to independent practices (P < .05). Being part of an accountable care organization was associated with significantly lower anxiety (P < .05). Understanding healthcare professionals’ responses to change can help healthcare leaders design and implement successful change management strategies for future transformation.

A facilitation model for implementing quality improvement practices to enhance outpatient substance use disorder treatment outcomes: a stepped-wedge randomized controlled trial study protocol

BACKGROUND

The misuse of and addiction to opioids is a national crisis that affects public health as well as social and economic welfare. There is an urgent need for strategies to improve opioid use disorder treatment quality (e.g., 6-month retention). Substance use disorder treatment programs are challenged by limited resources and a workforce that does not have the requisite experience or education in quality improvement methods. The purpose of this study is to test a multicomponent clinic-level intervention designed to aid substance use disorder treatment clinics in implementing quality improvement processes to improve high-priority indicators of treatment quality for opioid use disorder.

METHODS

A stepped-wedge randomized controlled trial with 30 outpatient treatment clinics serving approximately 2000 clients with opioid use disorder each year will test whether a clinic-level measurement-driven, quality improvement intervention, called Coaching for Addiction Recovery Enhancement (CARE), improves (a) treatment process quality measures (use of medications for opioid use disorder, in-treatment symptom and therapeutic progress, treatment retention) and (b) recovery outcomes (substance use, health, and healthcare utilization). The CARE intervention will have the following components: (1) staff clinical training and tools, (2) quality improvement and change management training, (3) external facilitation to support implementation and sustainability of quality improvement processes, and (4) an electronic client-reported treatment progress tool to support data-driven decision making and clinic-level quality measurement. The study will utilize multiple sources of data to test study aims, including state administrative data, client-reported survey and treatment progress data, and staff interview and survey data.

DISCUSSION

This study will provide the field with a strong test of a multicomponent intervention to improve providers' capacity to make systematic changes tied to quality metrics. The study will also result in training and materials that can be shared widely to increase quality improvement implementation and enhance clinical practice in the substance use disorder treatment system.

TRIAL REGISTRATION

Trial # NCT04632238NCT04632238 registered at clinicaltrials.gov on 17 November 2020.

A Taxonomy for External Support for Practice Transformation

BACKGROUND

There is no commonly accepted comprehensive framework for describing the practical specifics of external support for practice change. Our goal was to develop such a taxonomy that could be used by both external groups or researchers and health care leaders.

METHODS

The leaders of 8 grants from Agency for Research and Quality for the EvidenceNOW study of improving cardiovascular preventive services in over 1500 primary care practices nationwide worked collaboratively over 18 months to develop descriptions of key domains that might comprehensively characterize any external support intervention. Combining literature reviews with our practical experiences in this initiative and past work, we aimed to define these domains and recommend measures for them.

RESULTS

The taxonomy includes 1 domain to specify the conceptual model(s) on which an intervention is built and another to specify the types of support strategies used. Another 5 domains provide specifics about the dose/mode of that support, the types of change process and care process changes that are encouraged, and the degree to which the strategies are prescriptive and standardized. A model was created to illustrate how the domains fit together and how they would respond to practice needs and reactions.

CONCLUSIONS

This taxonomy and its use in more consistently documenting and characterizing external support interventions should facilitate communication and synergies between 3 areas (quality improvement, practice change research, and implementation science) that have historically tended to work independently. The taxonomy was designed to be as useful for practices or health systems managing change as it is for research.

Randomized controlled trial evaluating a collaborative model of care for transitioning children with medical complexity from hospital to home healthcare: Study protocol

This article describes the study protocol for an evaluation of an innovative model of care that supports home health nurses (HHN) who serve children with medical complexity (CMC). CMC constitute a small proportion of children, but have very high need for health services, are hospitalized frequently, and account for significant proportion of pediatric healthcare expenditures. High-quality home health nursing services are important for CMC, but models of care of home healthcare, after discharge of CMC from the hospital, have not been tested. Our project aims are to develop, implement, and test a model of care, called ICollab, to improve home healthcare delivery for CMC. The ICollab model consists of collaboration between HHN, primary-care physicians and clinicians of the complex care program of a tertiary-care children's hospital in the care of CMC. In this randomized clinical trial, we will recruit 110 CMC discharged home on home health nursing services. The intervention group (n = 55) will receive the ICollab intervention for 6 months post-discharge from the hospital, in addition to usual care. Children in the control group (n = 55) will receive only usual care. Outcome measures will include healthcare utilization metrics (hospitalization rates, emergency room visit rates, and days to readmission), caregiver burden and caregiver satisfaction with home healthcare, HHN retention, and HHN collaboration with other healthcare providers. We hypothesize that ICollab will reduce healthcare utilization and caregiver burden, and improve caregiver satisfaction with home healthcare, increase HHN retention, and increase HHN collaboration with other healthcare providers. Results of this study have the potential to provide a critically needed evidence-base for interventions to improve the quality of healthcare delivery for CMC. This study is registered on clinicaltrials.gov (NCT03978468) and is ongoing.

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.

Readiness and Implementation of Quality Improvement Strategies Among Small- and Medium-Sized Primary Care Practices: an Observational Study

BACKGROUND

Little is known about what determines strategy implementation around quality improvement (QI) in small- and medium-sized practices. Key questions are whether QI strategies are associated with practice readiness and practice characteristics.

OBJECTIVE

Grounded in organizational readiness theory, we examined how readiness and practice characteristics affect QI strategy implementation. The study was a component of a larger practice-level intervention, Heart of Virginia Healthcare, which sought to transform primary care while improving cardiovascular care.

DESIGN

This observational study analyzed practice correlates of QI strategy implementation in primary care at 3 and 12 months. Data were derived from surveys completed by clinicians and staff and from assessments by practice coaches.

PARTICIPANTS

A total of 175 small- and medium-sized primary care practices were included.

MAIN MEASURES

Outcome was QI strategy implementation in three domains: (1) aspirin, blood pressure, cholesterol, and smoking cessation (ABCS); (2) care coordination; and (3) organizational-level improvement. Coaches assessed implementation at 3 and 12 months. Readiness was measured by baseline member surveys, 1831 responses from 175 practices, a response rate of 73%. Practice survey assessed practice characteristics, a response rate of 93%. We used multivariate regression.

KEY RESULTS

QI strategy implementation increased from 3 to 12 months: the mean for ABCS from 1.20 to 1.59, care coordination from 2.15 to 2.75, organizational improvement from 1.37 to 1.78 (95% CI). There was no statistically significant association between readiness and QI strategy implementation across domains. Independent practice implementation was statistically significantly higher than hospital-owned practices at 3 months for ABCS (95% CI, P = 0.01) and care coordination (95% CI, P = 0.03), and at 12 months for care coordination (95% CI, P = 0.04).

CONCLUSION

QI strategy implementation varies by practice ownership. Independent practices focus on patient care-related activities. FQHCs may need additional time to adopt and implement QI activities. Practice readiness may require more structural and organizational changes before starting a QI effort.

Study protocol for evaluating Six Building Blocks for opioid management implementation in primary care practices

Background

The Six Building Blocks for improving opioid management (6BBs) is a program for improving the management of patients in primary care practices who are on long-term opioid therapy for chronic pain. The 6BBs include building leadership and consensus; aligning policies, patient agreements, and workflows; tracking and monitoring patient care; conducting planned, patient-centered visits; tailoring care for complex patients; and measuring success. The Agency for Healthcare Research and Quality funded the development of a 6BBs implementation guide: a step-by-step approach for independently implementing the 6BBs in a practice. This mixed-method study seeks to assess practices’ use of the implementation guide to implement the 6BBs and the effectiveness of 6BBs implementation on opioid management processes of care among practices using the implementation guide.

Methods

Data collection is guided by the Consolidated Framework for Implementation Research, Proctor’s taxonomy of implementation outcomes, and the Centers for Disease Control and Prevention’s Guideline for Prescribing Opioids for Chronic Pain. A diverse group of health care organizations with primary care clinics across the USA will participate in the study over 15 months. Qualitative data collection will include semi-structured interviews with stakeholders at each organization at two time points, notes from routine check-in calls, and document review. These data will be used to understand practices’ motivation for participation, history with opioid management efforts, barriers and facilitators to implementation, and implementation progress. Quantitative data collection will consist of a provider and staff survey, an implementation milestones assessment, and quarterly opioid prescribing quality measures. These data will supplement our understanding of implementation progress and will allow us to assess changes over time in providers’ opioid prescribing practices, prescribing self-efficacy, challenges to providing guideline-driven care, and practices’ opioid prescribing quality measures. Qualitative data will be coded and analyzed for emergent themes. Quantitative data will be analyzed using descriptive statistics and clustered multivariate regression.

Discussion

This study contributes to the knowledge of the implementation and effectiveness of a team-based approach to opioid management in primary care practices. Information gleaned from this study can be used to inform efforts to curtail opioid prescribing and assist primary care practices considering implementing the 6BBs.

Facilitation of evidence implementation within a clinical fellowship program: a mixed methods study

BACKGROUND AND AIM

Facilitation is a multifaceted process for supporting and enabling individual or group of health practitioners to implement positive changes in clinical practice. Facilitation has never been explored within the context of an educational program that integrates a practical, evidence-based implementation component, such as a clinical fellowship program (CFP). The aim of this research was to identify features of facilitation as it occurs in the JBI (formerly known as Joanna Briggs Institute) CFP that promotes the use of evidence into clinical practice.

METHODS

We used a mixed methods study design to address the objective of this study. An electronic survey was administered to clinicians of different clinical backgrounds who completed the CFP (i.e. clinical fellows). Purposively selected clinical fellows and assigned internal or external facilitators were interviewed.

RESULTS

Forty-three clinical fellows completed the survey and 16 individual interviews and two focus groups were conducted. Findings from the survey and interviews demonstrated that facilitation within the context of a CFP is a collaborative effort between assigned facilitators and clinical fellows. Our study showed that both assigned facilitators and clinical fellows perform facilitation activities, with assigned internal and external facilitators providing support and assistance to clinical fellows, who in turn, support the evidence implementation project within their local organization. The study also suggests that external facilitation should be tailored to the individual clinical fellow's characteristics and their previous experiences.

CONCLUSION

Facilitation in an evidence-based CFP involves a partnership between clinical fellows and assigned facilitators, indicating a collaborative effort that involves a set of internal and external facilitation activities. Our study findings can guide the delivery of CFPs, particularly in identifying suitable people for the facilitator's role, which can have important implications for evidence implementation. Future research should focus on evaluating the effectiveness of these programs in improving practice and health outcomes.

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.

Patient Aligned Care Team (PACT) Performance in Urban and Rural VHA Primary Care Clinics: A Mixed Methods Study

PURPOSE

To assess differences in Patient Aligned Care Team (PACT) performance between rural and urban primary care clinics within the Veterans Health Administration (VHA).

METHODS

An Explanatory Sequential Mixed Methods design was conducted using VHA administrative data to assess performance of a national sample of 891 VHA primary care clinics. Generalized Estimating Equations with repeated measures were used to estimate associations between rurality and process-oriented endpoints including: chronic disease management through telehealth; use of telephone visits, group visits or secured messaging; same-day access; continuity with primary care provider; and postdischarge follow-up. Qualitative data collected during on-site visits with 5 clinics were used to provide insights into PACT processes from the perspectives of staff in rural and urban clinics.

FINDINGS

After adjusting for patient- and practice-level characteristics, clinics located in large rural or small/isolated rural areas demonstrated difficulty enhancing access through use of telephone visits, group visits, or secured messaging and completing postdischarge follow-up calls, compared to urban clinics. Qualitative analysis indicated that staff from both rural and urban clinics reported similar barriers implementing these PACT processes. Both patient and staff behaviors and preferences impact implementation of these processes. Distance to care and access to high-speed Internet were also reported as barriers.

CONCLUSIONS

This study contributes to the understanding of PACT performance in rural settings by highlighting ways contextual and behavioral factors relate to performance. Increasing implementation of patient-centered medical home (PCMH) models, such as PACT, will require additional attention to the complex relationships between the practice and surrounding context.

Assessing fidelity to evidence-based quality improvement as an implementation strategy for patient-centered medical home transformation in the Veterans Health Administration

Background

Effective implementation strategies might facilitate patient-centered medical home (PCMH) uptake and spread by targeting barriers to change. Evidence-based quality improvement (EBQI) is a multi-faceted implementation strategy that is based on a clinical-researcher partnership. It promotes organizational change by fostering innovation and the spread of those innovations that are successful. Previous studies demonstrated that EBQI accelerated PCMH adoption within Veterans Health Administration primary care practices, compared with standard PCMH implementation. Research to date has not documented fidelity to the EBQI implementation strategy, limiting usefulness of prior research findings. This paper develops and assesses clinical participants’ fidelity to three core EBQI elements for PCMH (EBQI-PCMH), explores the relationship between fidelity and successful QI project completion and spread (the outcome of EBQI-PCMH), and assesses the role of the clinical-researcher partnership in achieving EBQI-PCMH fidelity.

Methods

Nine primary care practice sites and seven across-sites, topic-focused workgroups participated (2010–2014). Core EBQI elements included leadership-frontlines priority-setting for QI, ongoing access to technical expertise, coaching, and mentoring in QI methods (through a QI collaborative), and data/evidence use to inform QI. We used explicit criteria to measure and assess EBQI-PCMH fidelity across clinical participants. We mapped fidelity to evaluation data on implementation and spread of successful QI projects/products. To assess the clinical-researcher partnership role in EBQI-PCMH, we analyzed 73 key stakeholder interviews using thematic analysis.

Results

Seven of 9 sites and 3 of 7 workgroups achieved high or medium fidelity to leadership-frontlines priority-setting. Fidelity was mixed for ongoing technical expertise and data/evidence use. Longer duration in EBQI-PCMH and higher fidelity to priority-setting and ongoing technical expertise appear correlated with successful QI project completion and spread. According to key stakeholders, partnership with researchers, as well as bi-directional communication between leaders and QI teams and project management/data support were critical to achieving EBQI-PCMH fidelity.

Conclusions

This study advances implementation theory and research by developing measures for and assessing fidelity to core EBQI elements in relationship to completion and spread of QI innovation projects or tools for addressing PCMH challenges. These results help close the gap between EBQI elements, their intended outcome, and the finding that EBQI-PCMH resulted in accelerated adoption of PCMH.

Dedicated Workforce Required to Support Large-Scale Practice Improvement

BACKGROUND

Facilitation is an effective approach for helping practices implement sustainable evidence-based practice improvements. Few studies examine the facilitation infrastructure and support needed for large-scale dissemination and implementation initiatives.

METHODS

The Agency for Health care Research and Quality funded 7 Cooperatives, each of which worked with over 200 primary care practices to rapidly disseminate and implement improvements in cardiovascular preventive care. The intervention target was to improve primary care practice capacity for quality initiative and the ABCS of cardiovascular disease prevention: aspirin in high-risk individuals, blood pressure control, cholesterol management, and smoking cessation. We identified the organizational elements and infrastructures Cooperatives used to support facilitators by reviewing facilitator logs, online diary data, semistructured interviews with facilitators, and fieldnotes from facilitator observations. We analyzed these data using a coding and sorting process.

RESULTS

Each Cooperative partnered with 2 to 16 organizations, piecing together 16 to 35 facilitators, often from other quality improvement projects. Quality assurance strategies included establishing initial and ongoing training, processes to support facilitators, and monitoring to assure consistency and quality. Cooperatives developed facilitator toolkits, implemented initiative-specific training, and developed processes for peer-to-peer learning and support.

CONCLUSIONS

Supporting a large-scale facilitation workforce requires creating an infrastructure, including initial training, and ongoing support and monitoring, often borrowing from other ongoing initiatives. Facilitation that recognizes the need to support the vital integrating functions of primary care might be more efficient and effective than this fragmented approach to quality improvement.

From novice to expert: a qualitative study of implementation facilitation skills

BACKGROUND

It is widely reported that facilitation can aid implementation of evidence-based practices. Although scholars agree that facilitators need a diverse range of skills, only a few retrospective studies have identified some of these. During the test of a facilitation strategy within the context of a VA initiative to implement evidence-based care delivery models, we documented the skills an expert external facilitator transferred to two initially novice internal regional facilitators. Ours is the first study to explore facilitation skills as they are being applied and transferred.

METHODS

Facilitators applied the strategy at eight primary care clinics that lacked implementation capacity in two VA networks. We conducted monthly debriefing interviews over a 30-month period and documented these in detailed notes. External facilitator interviews focused specifically on training and mentoring internal facilitators and the skills that she transferred. We also conducted, recorded, and transcribed two qualitative interviews with each facilitator and queried them about training content and process. We conducted a content analysis of the data, using deductive and inductive methods, to identify skills the external facilitator helped internal facilitators learn. We also explored the complexity of facilitation skills and grouped them into overarching skillsets.

RESULTS

The external facilitator helped internal facilitators learn 22 complex skills; with few exceptions, these skills were not unique but overlapped with one another. We clustered 21 of these into 5 groups of overarching skillsets: (1) building relationships and creating a supportive environment, (2) changing the system of care and the structure and processes that support it, (3) transferring knowledge and skills and creating infrastructure support for ongoing learning, (4) planning and leading change efforts, and (5) assessing people, processes, and outcomes and creating infrastructure for program monitoring.

CONCLUSIONS

This study documented a broad range of implementation facilitation skills that are complex and overlapping. Findings suggest that studies and initiatives planning or applying facilitation as an implementation strategy should ensure that facilitators have or have the opportunity to learn the skills they need. Because facilitation skills are complex, the use of didactic methods alone may not be sufficient for transferring skills; future work should explore other methods and techniques.

Can Organisational Culture of Teams Be a Lever for Integrating Care? An Exploratory Study

Introduction

Organisational culture is believed to be an important facilitator for better integrated care, yet how organisational culture impacts integrated care remains underspecified. In an exploratory study, we assessed the relationship between organisational culture in primary care centres as perceived by primary care teams and patient-perceived levels of integrated care.

Theory and methods

We analysed a sample of 2,911 patient responses and 17 healthcare teams in four primary care centres. We used three-level ordered logistic regression models to account for the nesting of patients within health care teams within primary care centres.

Results

Our results suggest a non-linear relationship between organisational culture at the team level and integrated care. A combination of different culture types-including moderate levels of production-oriented, hierarchical and team-oriented cultures and low or high levels of adhocracy cultures-related to higher patient-perceived levels of integrated care.

Conclusions and discussion

Organisational culture at the level of healthcare teams has significant associations with patient-perceived integrated care. Our results may be valuable for primary care organisations in their efforts to compose healthcare teams that are predisposed to providing better integrated care.

Does increased implementation support improve community clinics' guideline-concordant care? Results of a mixed methods, pragmatic comparative effectiveness trial

Background

Disseminating care guidelines into clinical practice remains challenging, partly due to inadequate evidence on how best to help clinics incorporate new guidelines into routine care. This is particularly true in safety net community health centers (CHCs).

Methods

This pragmatic comparative effectiveness trial used a parallel mixed methods design. Twenty-nine CHC clinics were randomized to receive increasingly intensive implementation support (implementation toolkit (arm 1); toolkit + in-person training + training webinars (arm 2); toolkit + training + webinars + offered practice facilitation (arm 3)) targeting uptake of electronic health record (EHR) tools focused on guideline-concordant cardioprotective prescribing for patients with diabetes. Outcomes were compared across study arms, to test whether increased support yielded additive improvements, and with 137 non-study CHCs that share the same EHR as the study clinics. Quantitative data from the CHCs’ EHR were used to compare the magnitude of change in guideline-concordant ACE/ARB and statin prescribing, using adjusted Poisson regressions. Qualitative data collected using diverse methods (e.g., interviews, observations) identified factors influencing the quantitative outcomes.

Results

Outcomes at CHCs receiving higher-intensity support did not improve in an additive pattern. ACE/ARB prescribing did not improve in any CHC group. Statin prescribing improved overall and was significantly greater only in the arm 1 and arm 2 CHCs compared with the non-study CHCs. Factors influencing the finding of no additive impact included: aspects of the EHR tools that reduced their utility, barriers to providing the intended implementation support, and study design elements, e.g., inability to adapt the provided support. Factors influencing overall improvements in statin outcomes likely included a secular trend in awareness of statin prescribing guidelines, selection bias where motivated clinics volunteered for the study, and study participation focusing clinic staff on the targeted outcomes.

Conclusions

Efforts to implement care guidelines should: ensure adaptability when providing implementation support and conduct formative evaluations to determine the optimal form of such support for a given clinic; consider how study data collection influences adoption; and consider barriers to clinics’ ability to use/accept implementation support as planned. More research is needed on supporting change implementation in under-resourced settings like CHCs.

Trial registration

ClinicalTrials.gov, NCT02325531. Registered 15 December 2014.

Mixed method evaluation of Relational Team Development (RELATED) to improve team-based care for complex patients with mental illness in primary care

BACKGROUND

Patients with mental illness are frequently treated in primary care, where Primary Care Providers (PCPs) report feeling ill-equipped to manage their care. Team-based models of care improve outcomes for patients with mental illness, but multiple barriers limit adoption. Barriers include practical issues and psychosocial factors associated with the reorganization of care. Practice facilitation can improve implementation, but does not directly address the psychosocial factors or gaps in PCP skills in managing mental illness. To address these gaps, we developed Relational Team Development (RELATED).

METHODS

RELATED is an implementation strategy combining practice facilitation and psychology clinical supervision methodologies to improve implementation of team-based care. It includes PCP-level clinical coaching and a team-level practice change activity. We performed a preliminary assessment of RELATED with a convergent parallel mixed method study in 2 primary care clinics in an urban Federally Qualified Health Center in Southwest, USA, 2017-2018. Study participants included PCPs, clinic staff, and patient representatives. Clinic staff and patients were recruited for the practice change activity only. Primary outcomes were feasibility and acceptability. Feasibility was assessed as ease of recruitment and implementation. Acceptability was measured in surveys of PCPs and staff and focus groups. We conducted semi-structured focus groups with 3 participant groups in each clinic: PCPs; staff and patients; and leadership. Secondary outcomes were change in pre- post- intervention PCP self-efficacy in mental illness management and team-based care. We conducted qualitative observations to better understand clinic climate.

RESULTS

We recruited 18 PCPs, 17 staff members, and 3 patient representatives. We ended recruitment early due to over recruitment. Both clinics developed and implemented practice change activities. The mean acceptability score was 3.7 (SD=0.3) on a 4-point Likert scale. PCPs had a statistically significant increase in their mental illness management self-efficacy [change = 0.9, p-value= <.01]. Focus group comments were largely positive, with PCPs requesting additional coaching.

CONCLUSIONS

RELATED was feasible and highly acceptable. It led to positive changes in PCP self-efficacy in Mental Illness Management. If confirmed as an effective implementation strategy, RELATED has the potential to significantly impact implementation of evidence-based interventions for patients with mental illness in primary care.

Measuring attributes of team functioning in primary care settings: development of the TEAMS tool

This study examines attributes of a high-functioning primary care team by creating a survey measuring staff perceptions of team culture in primary care practices with innovative team-based workforce models. Survey data from a national study of 30 exemplar primary care practices with innovative team-based workforce models was used. Staff and clinicians (n = 943) at the 30 primary care sites completed a 31-item survey online. Survey items came from previous surveys of adaptive reserve and team culture. Factor analysis, reliability and validity were examined for the survey. Case summaries from site visits and survey comments were compared for high and low scoring sites to establish validity. Three core attributes of a high-functioning team were identified: joy in practice (4 items), personal growth (3 items), and leadership and learning (20 items). Four items did not measure any attribute. Using item correlations, the 20 items for leadership and learning were reduced to 7 items. All three attribute subscales had good reliability and validity. The final 14-item survey measuring joy in practice, personal growth and leadership and learning may be useful in clinical practice as a practical tool to gauge progress in developing a high-functioning team. Further research is needed to determine the sensitivity of this instrument to change over time with interventions designed to improve team functioning in primary care.

Designing the relational team development intervention to improve management of mental health in primary care using iterative stakeholder engagement

BACKGROUND

Team-based models of care are efficacious in improving outcomes for patients with mental and physical illnesses. However, primary care clinics have been slow to adopt these models. We used iterative stakeholder engagement to develop an intervention to improve the implementation of team-based care for this complex population.

METHODS

We developed the initial framework for Relational Team Development (RELATED) from a qualitative study of Primary Care Providers' (PCPs') experiences treating mental illness and a literature review of practice facilitation and psychology clinical supervision. Subsequently, we surveyed 900 Colorado PCPs to identify factors associated with PCP self-efficacy in management of mental illness and team-based care. We then conducted two focus groups for feedback on RELATED. Lastly, we convened an expert panel to refine the intervention.

RESULTS

We developed RELATED, a two-part intervention delivered by a practice facilitator with a background in clinical psychology. The facilitator observes PCPs during patient visits and provides individualized coaching. Next, the facilitator guides the primary care team through a practice change activity with a focus on relational team dynamics.

CONCLUSION

The iterative development of RELATED using stakeholder engagement offers a model for the development of interventions tailored to the needs of these stakeholders.

TRIAL REGISTRATION

Not applicable.

Preventive Evidence into Practice: what factors matter in a facilitation intervention to prevent vascular disease in family practice?

Background

A perennial challenge of primary care quality improvement is to establish why interventions work in some circumstances, but not others. This study aimed to identify factors explaining variations in the impact on clinical practice of a facilitation led vascular health intervention in Australian family practice.

Methods

Our mixed methods study was embedded within a cluster randomised controlled trial of a facilitation intervention designed to increase the uptake of evidence-based prevention of vascular disease in family practices. The study was set in four Australian states using eight of the study’s 16 intervention practices. Facilitators worked with intervention practices to develop and implement improvements in preventive care informed by a vascular risk factor audit. We constructed case studies of each practice’s “intervention narrative” from semi-structured interviews with clinicians, facilitators and other staff, practice observation, and document analysis of facilitator diaries. The intervention narratives were combined with pre- and post-intervention audit data to generate typologies of practice responses to the intervention.

Results

We found substantial variability between practices in the changes made to vascular risk recording. Context (i.e. practice size), adaptive reserve (i.e. interpersonal relationships, manager and nurse involvement), and occasional data idiosyncrasies interacted to influence this variability.

Conclusion

The findings emphasise the importance of tailoring facilitation interventions to practice size, clinician engagement and, critically, the organisation of, and relationships between, the members of the practice team.

Trial registration

The trial was registered with the Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12612000578808 (29/5/2012). This trial registration is retrospective as our first patient returned their consent on the 21/5/2012. Patient recruitment was ongoing until 31/10/2012.

Electronic supplementary material

The online version of this article (10.1186/s12875-019-0995-7) contains supplementary material, which is available to authorized users.

Review of patient-reported experience within Patient-Centered Medical Homes: insights for Australian Health Care Homes

Understanding patient experience is necessary to advance the patient-centred approach to health service delivery. Australia's primary healthcare model, the 'Health Care Home', is based on the 'Patient-Centered Medical Home' (PCMH) model developed in the United States. Both these models aim to improve patient experience; however, the majority of existing PCMH model evaluations have focussed on funding, management and quality assurance measures. This review investigated the scope of evidence reported by adult patients using a PCMH. Using a systematic framework, the review identified 39 studies, sourced from 33 individual datasets, which used both quantitative and qualitative approaches. Patient experience was reported for model attributes, including the patient-physician and patient-practice relationships; care-coordination; access to care; and, patient engagement, goal setting and shared decision-making. Results were mixed, with the patient experience improving under the PCMH model for some attributes, and some studies indicating no difference in patient experience following PCMH implementation. The scope and quality of existing evidence does not demonstrate improvement in adult patient experience when using the PCMH. Better measures to evaluate patient experience in the Australian Health Care Home model are required.

Rationale and design of extended cancer education for longer term survivors (EXCELS): a randomized control trial of 'high touch' vs. 'high tech' cancer survivorship self-management tools in primary care

Background

Breast, colorectal, and prostate cancer survivors are at increased risk for late and long-term effects post-treatment. The post-treatment phase of care is often poorly coordinated and survivors navigate follow-up care with minimal information or guidance from their healthcare team. This manuscript describes the Extended Cancer Education for Longer-term Survivors (EXCELS) in Primary Care protocol. EXCELS is a randomized controlled trial to test the efficacy of patient-level self-management educational strategies on adherence to preventative health service use and cancer survivorship follow-up guidelines.

Methods

The EXCELS trial compares four conditions: (1) EXCELS-website (e.g., a mobile-optimized technology platform); (2) EXCELS-health coaching; (3) EXCELS-website and health coaching; and (4) a print booklet. Approximately 480 breast, colorectal, and prostate survivors will be recruited through the New Jersey Primary Care Research Network (NJPCRN) and New Jersey State Cancer Registry (NJSCR). Eligible survivors (diagnosed stages 1–3) must have completed active treatment, access to a phone and a computer, smartphone or tablet with internet access, and be able to speak and read English. Patient assessments occur at baseline, 6, 12, and 18 months. The primary outcomes are increased engagement in preventive health services and monitoring for cancer recurrence and treatment-related late effects.

Discussion

The EXCELS trial is the first to test cancer survivorship educational self-management interventions for cancer survivors in a primary care context. Findings from this trial will inform successful implementation and engagement strategies for longer-term, post-treatment cancer survivors managed in primary care settings.

Trial registration

Registered August 1, 2017 at ClinicalTrials.gov, trial # NCT03233555.

The Primary Care Practice Improvement Tool (PC-PIT) process for organisational improvement in primary care: application by Australian Primary Health Networks

The Primary Care Practice Improvement Tool (PC-PIT) is an organisational performance improvement tool recently implemented by two Primary Health Networks (PHNs). This study explored barriers and facilitators to implementing the PC-PIT process at scale, from the initial introduction of the tool to completion of Plan-Do-Study-Act cycles with general practices. Using a qualitative design, in-depth, semi-structured interviews were conducted with 10 PHN staff to seek feedback on the delivery of the PC-PIT to general practices. Interview results were analysed using a grounded theory approach. The identification of barriers such as difficulty engaging practices and lack of report sharing with the PHNs will help streamline future implementation. The PC-PIT was highly compatible with existing quality improvement programs and offers enhanced opportunity to support capacity building and implementation of the Health Care Home model.

Implementing Community-Created Self-Management Support Tools in Primary Care Practices: Multimethod Analysis From the INSTTEPP Study

PURPOSE

With one-half of Americans projected to be living with at least one chronic condition before 2020, enhancing patient self-management support (SMS) may improve health-related behaviors and clinical outcomes. Routine SMS implementation in primary care settings is difficult. Little is known about the practice conditions required for successful implementation of SMS tools.

METHODS

Four primary care practice-based research networks (PBRNs) recruited 16 practices to participate in a boot camp translation process to adapt patient-centered SMS tools. Boot camp translation sessions were held over a 2-month period with 2 patients, a clinician, and a care manager from each practice. Qualitative case comparison and qualitative comparative analysis were used to examine practice conditions needed to implement SMS tools. The Consolidated Framework for Implementation Research guided data collection and analysis.

RESULTS

Four different practice conditions affected the implementation of new SMS tools: functional practice organization; system that enables innovation and change; presence of a visible, activated champion; and synergy and alignment of SMS changes with other work. Qualitative comparative analysis suggested that it was necessary to have an enabling system, a visible champion, and synergy for a practice to at least minimally implement the SMS tools. Sufficiency testing, however, failed to show robust consistency to satisfactorily explain conditions required to implement new SMS tools.

CONCLUSIONS

To implement tailored self-management support tools relatively rapidly, the minimum necessary conditions include a system that enables innovation and change, presence of a visible champion, and alignment of SMS changes with other work; yet, these alone are insufficient to ensure successful implementation.

Learning from implementation setbacks: Identifying and responding to contextual challenges

Introduction

We address organizational learning about implementation context during setbacks to primary care redesign in an ambulatory system. The redesign expanded care teams and added a medical assistant assigned administrative and coordination tasks. The redesign was expected to improve care efficiency, prevention, and continuity. In response to setbacks, redesign and system leaders used understanding of context to plan system-wide changes, as well as program adjustments. Doing so enhanced the redesign's prospects and contributed to system learning.

Methods

We conducted a 33-month, mixed-methods study. Qualitative data included quarterly calls with the redesign leaders and 63 activity log entries. There were three site visits; 73 interviews with practice leaders, providers, and medical assistants. Data analysis used categories from an implementation research framework; these were refined and then expanded inductively using log reports, debriefings with change leaders, and documents. Quantitative analysis used system operational data on chronic care, prevention, efficiency, productivity, and patient access.

Results

Redesigned teams were not implemented as widely or rapidly as anticipated and did not deliver hoped-for gains in operational metrics. Interviews reported that team redesign was leading to improvements in chronic care and prevention and eased provider burden. Besides making small adjustments to cope with setbacks, redesign and system leaders engaged in more thorough organizational learning. They examined contextual challenges underlying setbacks and posing risks to the delivery system as a whole. Their responses to challenges helped strengthen the redesign's prospects, improved the delivery system's position in its labor market, and helped the system prepare to meet emerging requirements for value-based care and population health.

Conclusions

This case points to benefits for both health care researchers and change practitioners of paying closer attention to how context affects implementation of organizational change, and to opportunities and conditions for learning from setbacks during change.

Measuring Constructs of the Consolidated Framework for Implementation Research in the Context of Increasing Colorectal Cancer Screening in Federally Qualified Health Center

OBJECTIVE

To operationalize constructs from each of the Consolidated Framework for Implementation Research domains and to present psychometric properties within the context of evidence-based approaches for promoting colorectal cancer screening in federally qualified health centers (FQHCs).

METHODS

Data were collected from FQHC clinics across seven states. A web-based Staff Survey and a Clinic Characteristics Survey were completed by staff and leaders (n = 277) from 59 FQHCs.

RESULTS

Internal reliability of scales was adequate ranging from 0.62 for compatibility to 0.88 for other personal attributes (openness). Intraclass correlations for the scales indicated that 2.4 percent to 20.9 percent of the variance in scale scores occurs within clinics. Discriminant validity was adequate at the clinic level, with all correlations less than 0.75. Convergent validity was more difficult to assess given lack of hypothesized associations between factors expected to predict implementation.

CONCLUSIONS

Our results move the field forward by describing initial psychometric properties of constructs across CFIR domains.

Implementation of evidence-based practices for complex mood disorders in primary care safety net clinics

INTRODUCTION

Use quality improvement methods to implement evidence-based practices for bipolar depression and treatment-resistant depression in 6 Federally Qualified Health Centers.

METHOD

Following qualitative needs assessments, implementation teams comprised of front-line providers, patients, and content experts identified, adapted, and adopted evidence-based practices. With external facilitation, onsite clinical champions led the deployment of the evidence-based practices. Evaluation data were collected from 104 patients with probable bipolar disorder or treatment-resistant depression via chart review and an interactive voice response telephone system.

RESULTS

Five practices were implemented: (a) screening for bipolar disorder, (b) telepsychiatric consultation, (c) prescribing guidelines, (d) online cognitive-behavioral therapy, and (e) online peer support. Implementation outcomes were as follows: (a) 15% of eligible patients were screened for bipolar disorder (interclinic range = 3%-70%), (b) few engaged in online psychotherapy or peer support, (c) 38% received telepsychiatric consultation (interclinic range = 0%-83%), and (d) 64% of patients with a consult were prescribed the recommended medication. Clinical outcomes were as follows: Of those screening at high risk or very high risk, 67% and 69%, respectively, were diagnosed with bipolar disorder. A third (32%) of patients were prescribed a new mood stabilizer, and 28% were prescribed a new antidepressant. Clinical response (50% reduction in depression symptoms), was observed in 21% of patients at 3-month follow-up.

DISCUSSION

Quality improvement processes resulted in the implementation and evaluation of 5 detection and treatment processes. Though varying by site, screening improved detection and a substantial number of patients received consultations and medication adjustments; however, symptom improvement was modest. (PsycINFO Database Record

Evaluation of an Electronic Health Record (EHR) Tool for Integrated Behavioral Health in Primary Care

BACKGROUND

Integrating behavioral health into primary care can improve care quality; however, most electronic health records are not designed to meet the needs of integrated teams. We worked with practices and behavioral health (BH) clinicians to design a suite of electronic health record tools to address these needs ("BH e-Suite"). The purpose of this article is to examine whether implementation of the BH e-Suite changes process of care, intermediate clinical outcomes, and patient experiences, and whether its use is acceptable to practice members and BH clinicians.

METHODS

We conducted a convergent mixed-methods proof-of-concept study, implementing the BH e-Suite across 6 Oregon federally qualified community health centers ("intervention clinics"). We matched intervention clinics to 6 control clinics, based on location and patient panel characteristics, to assess whether process of care (Patient Health Questionnaire-9 [PHQ-9] and Generalized Anxiety Disorder-7 screening) and intermediate outcomes (PHQ-9, Generalized Anxiety Disorder-7 scores) changed postimplementation. Prepost patient surveys were used to assess changes in patient experience. To elucidate factors influencing implementation, we merged quantitative findings with structured observations, surveys, and interviews with practice members.

RESULTS

Implementation improved process of care (PHQ-9 screening). During the course of the study, change in intermediate outcomes was not observed. Degree of BH e-Suite implementation varied: 2 clinics fully implemented, 2 partially implemented, and 2 practices did not implement at all. Initial practice conditions (eg, low resistance to change, higher capacity), process characteristics (eg, thoughtful planning), and individual characteristics (eg, high self-efficacy) were related to degree of implementation.

CONCLUSIONS

Health information technology tools designed for behavioral health integration must fit the needs of clinics for the successful uptake and improvement in patient experiences. Research is needed to further assess the effectiveness of this tool in improving patient outcomes and to optimize broader dissemination of this tool among primary care clinics integrating behavioral health.

What matters in patient-centered medical home transformation: Whole system evaluation outcomes of the Brown Primary Care Transformation Initiative

Objectives:

Patient-centered medical home transformation initiatives for enhancing team-based, patient-centered primary care are widespread in the United States. However, there remain large gaps in our understanding of these efforts. This article reports findings from a contextual, whole system evaluation study of a transformation intervention at eight primary care teaching practice sites in Rhode Island. It provides a picture of system changes from the perspective of providers, staff, and patients in these practices.

Methods:

Quantitative/qualitative evaluation methods include patient, provider, and staff surveys and qualitative interviews; practice observations; and focus groups with the intervention facilitation team.

Results:

Patient satisfaction in the practices was high. Patients could describe observable elements of patient-centered medical home functioning, but they lacked explicit awareness of the patient-centered medical home model, and their activation decreased over time. Providers’ and staff’s emotional exhaustion and depersonalization increased slightly over the course of the intervention from baseline to follow-up, and personal accomplishment decreased slightly. Providers and staff expressed appreciation for the patient-centered medical home as an ideal model, variously implemented some important patient-centered medical home components, increased their understanding of patient-centered medical home as more than specific isolated parts, and recognized their evolving work roles in the medical home. However, frustration with implementation barriers and the added work burden they associated with patient-centered medical home persisted.

Conclusion:

Patient-centered medical home transformation is disruptive to practices, requiring enduring commitment of leadership and personnel at every level, yet the model continues to hold out promise for improved delivery of patient-centered primary care.

Disseminating, implementing, and evaluating patient-centered outcomes to improve cardiovascular care using a stepped-wedge design: healthy hearts for Oklahoma

Background

Cardiovascular disease (CVD) is the leading cause of death in the US and incurs high health care costs. While many initiatives promote the implementation of ABCS (aspirin therapy, blood pressure control, cholesterol management, and smoking cessation) measures, most primary care practices (PCPs) lack quality improvement (QI) support and resources to achieve meaningful targets. The Healthy Hearts for Oklahoma (H2O) Study proposes to build a QI infrastructure by (1) constructing a sustainable Oklahoma Primary Healthcare Improvement Collaborative (OPHIC) to support dissemination and implementation (D&I) of QI methods; (2) providing QI support in PCPs to better manage patients at risk for CVD events. Parallel to infrastructure building, H2O aims to conduct a comprehensive evaluation of the QI support D&I in primary care and assess the relationship between QI support uptake and changes in ABCS measures.

Methods

H2O has partnered with public health agencies and communities to build OPHIC and facilitate QI. H2O has 263 small primary care practices across Oklahoma that receive the bundled QI intervention to improve ABCS performance. A stepped-wedge designed is used to evaluate D&I of QI support. Changes in ABCS measures will be estimated as a function of various components of the QI support and capacity and readiness of PCPs to change. Notes from academic detailing and practice facilitation sessions will be analyzed to help interpret findings on ABCS performance.

Discussion

H2O program is designed to improve cardiovascular health and outcomes for more than 1.25 million Oklahomans. The infrastructure established as a result of this funding will help reach medically underserved Oklahomans, particularly among rural and tribal populations. Lessons learned from this project will guide future strategies for D&I of evidence-based practices in PCPs. Trained practice facilitators will continue to serve as critical resource to assists small, rural PCPs in adapting to the ever-changing health environment and continue to deliver quality care to their communities.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3189-4) contains supplementary material, which is available to authorized users.

Contextual levers for team-based primary care: lessons from reform interventions in five jurisdictions in three countries

BACKGROUND

Most Western nations have sought primary care (PC) reform due to the rising costs of health care and the need to manage long-term health conditions. A common reform-the introduction of inter-professional teams into traditional PC settings-has been difficult to implement despite financial investment and enthusiasm.

OBJECTIVE

To synthesize findings across five jurisdictions in three countries to identify common contextual factors influencing the successful implementation of teamwork within PC practices.

METHODS

An international consortium of researchers met via teleconference and regular face-to-face meetings using a Collaborative Reflexive Deliberative Approach to re-analyse and synthesize their published and unpublished data and their own work experience. Studies were evaluated through reflection and facilitated discussion to identify factors associated with successful teamwork implementation. Matrices were used to summarize interpretations from the studies.

RESULTS

Seven common levers influence a jurisdiction's ability to implement PC teams. Team-based PC was promoted when funding extended beyond fee-for-service, where care delivery did not require direct physician involvement and where governance was inclusive of non-physician disciplines. Other external drivers included: the health professional organizations' attitude towards team-oriented PC, the degree of external accountability required of practices, and the extent of their links with the community and medical neighbourhood. Programs involving outreach facilitation, leadership training and financial support for team activities had some effect.

CONCLUSION

The combination of physician dominance and physician aligned fee-for-service payment structures provide a profound barrier to implement team-oriented PC. Policy makers should carefully consider the influence of these and our other identified drivers when implementing team-oriented PC.

Uncovering the wisdom hidden between the lines: the Collaborative Reflexive Deliberative Approach

BACKGROUND

Meta-analysis and meta-synthesis have been developed to synthesize results across published studies; however, they are still largely grounded in what is already published, missing the tacit 'between the lines' knowledge generated during many research projects that are not intrinsic to the main objectives of studies.

OBJECTIVE

To develop a novel approach to expand and deepen meta-syntheses using researchers' experience, tacit knowledge and relevant unpublished materials.

METHODS

We established new collaborations among primary health care researchers from different contexts based on common interests in reforming primary care service delivery and a diversity of perspectives. Over 2 years, the team met face-to-face and via tele- and video-conferences to employ the Collaborative Reflexive Deliberative Approach (CRDA) to discuss and reflect on published and unpublished results from participants' studies to identify new patterns and insights.

RESULTS

CRDA focuses on uncovering critical insights, interpretations hidden within multiple research contexts. For the process to work, careful attention must be paid to ensure sufficient diversity among participants while also having people who are able to collaborate effectively. Ensuring there are enough studies for contextual variation also matters. It is necessary to balance rigorous facilitation techniques with the creation of safe space for diverse contributions.

CONCLUSIONS

The CRDA requires large commitments of investigator time, the expense of convening facilitated retreats, considerable coordination, and strong leadership. The process creates an environment where interactions among diverse participants can illuminate hidden information within the contexts of studies, effectively enhancing theory development and generating new research questions and strategies.

Practice Facilitator Strategies for Addressing Electronic Health Record Data Challenges for Quality Improvement: EvidenceNOW

PURPOSE

Practice facilitators ("facilitators") can play an important role in supporting primary care practices in performing quality improvement (QI), but they need complete and accurate clinical performance data from practices' electronic health records (EHR) to help them set improvement priorities, guide clinical change, and monitor progress. Here, we describe the strategies facilitators use to help practices perform QI when complete or accurate performance data are not available.

METHODS

Seven regional cooperatives enrolled approximately 1500 small-to-medium-sized primary care practices and 136 facilitators in EvidenceNOW, the Agency for Healthcare Research and Quality's initiative to improve cardiovascular preventive services. The national evaluation team analyzed qualitative data from online diaries, site visit field notes, and interviews to discover how facilitators worked with practices on EHR data challenges to obtain and use data for QI.

RESULTS

We found facilitators faced practice-level EHR data challenges, such as a lack of clinical performance data, partial or incomplete clinical performance data, and inaccurate clinical performance data. We found that facilitators responded to these challenges, respectively, by using other data sources or tools to fill in for missing data, approximating performance reports and generating patient lists, and teaching practices how to document care and confirm performance measures. In addition, facilitators helped practices communicate with EHR vendors or health systems in requesting data they needed. Overall, facilitators tailored strategies to fit the individual practice and helped build data skills and trust.

CONCLUSION

Facilitators can use a range of strategies to help practices perform data-driven QI when performance data are inaccurate, incomplete, or missing. Support is necessary to help practices, particularly those with EHR data challenges, build their capacity for conducting data-driven QI that is required of them for participating in practice transformation and performance-based payment programs. It is questionable how practices with data challenges will perform in programs without this kind of support.

Effects of Hospital Systems on Medical Home Transformation in Primary Care Residency Training Practices

Most primary care residency training practices have close financial and administrative relationships with teaching hospitals and health systems. Many residency practices have begun integrating the core principles of the patient-centered medical home (PCMH) into clinical workflows and educational experiences. Little is known about how the relationships with hospitals and health systems affect these transformation efforts. Data from the Colorado Residency PCMH Project were analyzed. Results show that teaching hospitals and health systems have significant opportunities to influence residency practices' transformation, particularly in the areas of supporting team-based care, value-based payment reforms, and health information technology.

Organizational Leadership and Adaptive Reserve in Blood Pressure Control: The Heart Health NOW Study

PURPOSE

Our purpose was to assess whether a practice's adaptive reserve and high leadership capability in quality improvement are associated with population blood pressure control.

METHODS

We divided practices into quartiles of blood pressure control performance and considered the top quartile as the benchmark for comparison. Using abstracted clinical data from electronic health records, we performed a cross-sectional study to assess the association of top quartile hypertension control and (1) the baseline practice adaptive reserve (PAR) scores and (2) baseline practice leadership scores, using modified Poisson regression models adjusting for practice-level characteristics.

RESULTS

Among 181 practices, 46 were in the top quartile, which averaged 68% or better blood pressure control. Practices with higher PAR scores compared with lower PAR scores were not more likely to reside in the top quartile of performance (prevalence ratio [PR] = 1.92 for highest quartile; 95% CI, 0.9-4.1). Similarly, high quality improvement leadership capability compared with lower capability did not predict better blood pressure control performance (PR = 0.94; 95% CI, 0.57-1.56). Practices with higher proportions of commercially insured patients were more likely than practices with lower proportions of commercially insured patients to have top quartile performance (37% vs 26%, P =.002), whereas lower proportions of the uninsured (8% vs 14%, P =.055) were associated with better performance.

CONCLUSIONS

Our findings show that adaptive reserve and leadership capability in quality improvement implementation are not statistically associated with achieving top quartile practice-level hypertension control at baseline in the Heart Health NOW project. Our findings, however, may be limited by a lack of patient-related factors and small sample size to preclude strong conclusions.