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

Feasibility and perceptions of a benzodiazepine deprescribing quality improvement initiative for primary care providers in Japan

BACKGROUND

Quality improvement (QI) initiatives in primary care in Japan are rare. One crucial area for QI is the appropriate prescription of benzodiazepines due to the large and growing elderly population in the country.

OBJECTIVE

This study aimed to determine the feasibility and other perceptions of a Benzodiazepine receptor agonist medications (BZRAs) deprescribing QI initiative for primary care providers (PCPs) in Japanese primary care clinics.

DESIGN

A qualitative study within a QI initiative.

PARTICIPANTS

We recruited 11 semi-public clinics and 13 providers in Japan to participate in a BZRAs deprescribing initiative from 2020 to 2021. After stratifying the clinics according to size, we randomly allocated implementation clinics to either an Audit only or an Audit plus Coaching group.

INTERVENTIONS

For the Audit, we presented clinics with two BZRAs-related indicators. We provided monthly web-based meetings for the Coaching to support their QI activities.

APPROACH

After the nine-month initiative, we conducted semi-structured interviews and used content analysis to identify themes. We organized the themes and assessed the key factors of implementation using the Consolidated Framework for Implementation Research (CFIR) framework.

KEY RESULTS

Audit plus Coaching was perceived as more valuable than Audit only intervention. Participants expressed intellectual curiosity about the QI initiative from resources outside their clinic. However, adopting a team-based QI approach in a small clinic was perceived as challenging, and selecting the indicators was important for meaningful QI.

CONCLUSION

The small size of the clinic could be a potential barrier, but enhancing academic curiosity may facilitate QI initiatives in primary care in Japan. Further implementation trials are needed to evaluate the possibility of QI with more various indicators and a more extended period of time.

A Cluster Randomized Trial of Primary Care Practice Redesign to Integrate Behavioral Health for Those Who Need It Most: Patients With Multiple Chronic Conditions

PURPOSE

Patient outcomes can improve when primary care and behavioral health providers use a collaborative system of care, but integrating these services is difficult. We tested the effectiveness of a practice intervention for improving patient outcomes by enhancing integrated behavioral health (IBH) activities.

METHODS

We conducted a pragmatic, cluster randomized controlled trial. The intervention combined practice redesign, quality improvement coaching, provider and staff education, and collaborative learning. At baseline and 2 years, staff at 42 primary care practices completed the Practice Integration Profile (PIP) as a measure of IBH. Adult patients with multiple chronic medical and behavioral conditions completed the Patient-Reported Outcomes Measurement Information System (PROMIS-29) survey. Primary outcomes were the change in 8 PROMIS-29 domain scores. Secondary outcomes included change in level of integration.

RESULTS

Intervention assignment had no effect on change in outcomes reported by 2,426 patients who completed both baseline and 2-year surveys. Practices assigned to the intervention improved PIP workflow scores but not PIP total scores. Baseline PIP total score was significantly associated with patient-reported function, independent of intervention. Active practices that completed intervention workbooks (n = 13) improved patient-reported outcomes and practice integration (P ≤ .05) compared with other active practices (n = 7).

CONCLUSION

Intervention assignment had no effect on change in patient outcomes; however, we did observe improved patient outcomes among practices that entered the study with greater IBH. We also observed more improvement of integration and patient outcomes among active practices that completed the intervention compared to active practices that did not. Additional research is needed to understand how implementation efforts to enhance IBH can best reach patients.

The role of organizational capacity in intervention efficacy in a church-based cancer education program: A configurational analysis

It is well-established in the field of implementation science that the context in which an intervention is delivered can play a crucial role in how well it is implemented. However, less is known about how organizational context or capacity relates to efficacy outcomes, particularly with health promotion interventions delivered outside of healthcare settings. The present study examined whether organizational capacity indicators were linked to key efficacy outcomes in an evidence-based cancer control intervention delivered in 13 African American churches in Maryland. Outcomes included increases in colorectal cancer knowledge and self-report colonoscopy screening behavior from baseline to follow-up. We used Coincidence Analysis to identify features of organizational capacity that uniquely distinguished churches with varying levels of cancer knowledge and screening. Indicators of organizational capacity (e.g., congregation size, prior health promotion experience) were from an existing measure of church organizational capacity for health promotion. A single solution pathway accounted for greater increases in colorectal cancer knowledge over 12 months, a combination of two conditions: conducting 3 or more health promotion activities in the prior 2 years together with not receiving any technical assistance from outside partners in the prior 2 years. A single condition accounted for greater increases in colonoscopy screening over 24 months: churches that had conducted health promotion activities in 1-4 different topical areas in the prior 2 years. Findings highlight aspects of organizational capacity (e.g., prior experience in health promotion) that may facilitate intervention efficacy and can help practitioners identify organizational settings most promising for intervention impact.

The VA National TeleNeurology Program implementation: a mixed-methods evaluation guided by RE-AIM framework

Introduction

The Veteran Affairs (VA) Office of Rural Health (ORH) funded the Veterans Health Administration (VHA) National TeleNeurology Program (NTNP) as an Enterprise-Wide Initiative (EWI). NTNP is an innovative healthcare delivery model designed to fill the patient access gap for outpatient neurological care especially for Veterans residing in rural communities. The specific aim was to apply the RE-AIM framework in a pragmatic evaluation of NTNP services.

Materials and methods

We conducted a prospective implementation evaluation. Guided by the pragmatic application of the RE-AIM framework, we conceptualized a mixed-methods evaluation for key metrics: (1) reach into the Veteran patient population assessed as total NTNP new patient consult volume and total NTNP clinical encounters (new and return); (2) effectiveness through configurational analysis of conditions leading to high Veteran satisfaction and referring providers perceived effectiveness; (3) adoption and implementation by VA sites through site staff and NTNP interviews; (4) implementation success through perceived management, implementation barriers, facilitators, and adaptations and through rapid qualitative analysis of multiple stakeholders' assessments; and (5) maintenance of NTNP through monitoring quarterly TeleNeurology consultation volume.

Results

NTNP was successfully implemented in 13 VA Medical Centers over 2 years. The total NTNP new patient consult volume in fiscal year 2021 (FY21) was 836 (58% rurally residing); this increased to 1,706 in fiscal year 2022 (FY22) (55% rurally residing). Total (new and follow-up) NTNP clinical encounters were 1,306 in FY21 and 3,730 in FY22. Overall, the sites reported positive experiences with program implementation and perceived that the program was serving Veterans with little access to neurological care. Veterans also reported high satisfaction with the NTNP program. We identified the patient level of perceived excellent teleneurologist-patient communications, reduced need to drive to get care, and that NTNP provided care that the Veteran otherwise could not access as key factors related to high Veteran satisfaction.

Conclusions

The VA NTNP demonstrated substantial reach, adoption, effectiveness, implementation success, and maintenance over the first 2 years of the program. The NTNP was highly acceptable to both the clinical providers making the referrals and the Veterans receiving the referred video care. The pragmatic application of the RE-AIM framework to guide implementation evaluations is appropriate, comprehensive, and recommended for future applications.

The VA National Teleneurology Program (NTNP): Implementing Teleneurology to Improve Equitable Access to Outpatient Neurology Care

BACKGROUND

Telehealth is increasingly utilized in many healthcare systems to improve access to specialty care and better allocate limited resources, especially for rurally residing persons who face unique barriers to care.

OBJECTIVES

The VHA sought to address critical gaps in access to neurology care by developing and implementing the first outpatient National Teleneurology Program (NTNP).

DESIGN

Pre-post evaluation of intervention and control sites.

PARTICIPANTS

NTNP sites and VA control sites; Veterans completing an NTNP consult and their referring providers.

INTERVENTION

Implementation of the NTNP at participating sites.

MAIN MEASURES

NTNP and community care neurology (CCN) volume of consults before and after implementation; time to schedule and complete consults; Veteran satisfaction.

KEY RESULTS

In FY2021, the NTNP was implemented at 12 VA sites; 1521 consults were placed and 1084 (71.3%) were completed. NTNP consults were scheduled (10.1 vs 29.0 days, p < 0.001) and completed (44.0 vs 96.9 days, p < 0.001) significantly faster than CCN consults. Post-implementation, monthly CCN consult volume was unchanged at NTNP sites compared to pre-implementation (mean change of 4.6 consults per month, [95% CI - 4.3, 13.6]), but control sites had a significant increase (mean change of 24.4 [5.2, 43.7]). The estimated difference in mean change in CCN consults between NTNP and control sites persisted after adjusting for local neurology availability (p < 0.001). Veterans (N = 259) were highly satisfied with NTNP care (mean (SD) overall satisfaction score 6.3 (1.2) on a 7-point Likert scale).

CONCLUSIONS

Implementation of NTNP resulted in more timely neurologic care than care in the community. The observed significant increase in monthly CCN consults at non-participating sites during the post-implementation period was not seen at NTNP sites. Veterans were highly satisfied with Teleneurology care.

Estimating the Cardiovascular Disease Risk Reduction of a Quality Improvement Initiative in Primary Care: Findings from EvidenceNOW

BACKGROUND

This study estimates reductions in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, a multi-state initiative that sought to improve cardiovascular preventive care in the form of (A)spirin prescribing for high-risk patients, (B)lood pressure control for people with hypertension, (C)holesterol management, and (S)moking screening and cessation counseling (ABCS) among small primary care practices by providing supportive interventions such as practice facilitation.

DESIGN

We conducted an analytic modeling study that combined (1) data from 1,278 EvidenceNOW practices collected 2015 to 2017; (2) patient-level information of individuals ages 40 to 79 years who participated in the 2015 to 2016 National Health and Nutrition Examination Survey (n = 1,295); and (3) 10-year ASCVD risk prediction equations.

MEASURES

The primary outcome measure was 10-year ASCVD risk.

RESULTS

EvidenceNOW practices cared for an estimated 4 million patients ages 40 to 79 who might benefit from ABCS interventions. The average 10-year ASCVD risk of these patients before intervention was 10.11%. Improvements in ABCS due to EvidenceNOW reduced their 10-year ASCVD risk to 10.03% (absolute risk reduction: -0.08, P ≤ .001). This risk reduction would prevent 3,169 ASCVD events over 10 years and avoid $150 million in 90-day direct medical costs.

CONCLUSION

Small preventive care improvements and associated reductions in absolute ASCVD risk levels can lead to meaningful life-saving benefits at the population level.

The Value of Funding a Primary Care Extension Program in the United States

This Viewpoint discusses the potential of the Primary Care Extension Program to ensure access to high-quality primary care in the US.

Determinants of inter-organizational implementation success: A mixed-methods evaluation of Veteran Directed Care

BACKGROUND

Veteran Directed Care (VDC) aims to keep Veterans at risk for nursing home placement in their communities. VA medical centers (VAMCs) purchase VDC from third-party organizational providers who then partner with them during implementation. Experiences with VDC implementation have varied.

OBJECTIVES

We sought to identify conditions differentiating partnerships with higher enrollment (implementation success).

METHODS

We conducted a case-based study with: qualitative data on implementation determinants two and eight months after program start, directed content analysis to assign numerical scores (-2 strong barrier to +2 strong facilitator), and mathematical modeling using Coincidence Analysis (CNA) to identify key determinants of implementation success. Cases consisted of VAMCs and partnering non-VAMC organizations who started VDC during 2017 or 2018. The Consolidated Framework for Implementation Research (CFIR) guided analysis.

RESULTS

Eleven individual organizations within five partnerships constituted our sample. Two CFIR determinants- Networks & Communication and External Change Agent-uniquely and consistently identified implementation success. At an inter-organizational partnership level, Networks & Communications and External Change Agent +2 (i.e., present as strong facilitators) were both necessary and sufficient. At a within-organization level, Networks & Communication +2 was necessary but not sufficient for the non-VAMC providers, whereas External Change Agent +2 was necessary and sufficient for VAMCs.

CONCLUSION

Networks & Communication and External Change Agent played difference-making roles in inter-organizational implementation success, which differ by type of organization and level of analysis.

IMPLICATIONS

This multi-level approach identified crucial difference-making conditions for inter-organizational implementation success when putting a program into practice requires partnerships across multiple organizations.

Facility-level program components leading to population impact: a coincidence analysis of obesity treatment options within the Veterans Health Administration

Obesity is a well-established risk factor for increased morbidity and mortality. Comprehensive lifestyle interventions, pharmacotherapy, and bariatric surgery are three effective treatment approaches for obesity. The Veterans Health Administration (VHA) offers all three domains but in different configurations across medical facilities. Study aim was to explore the relationship between configurations of three types of obesity treatments, context, and population impact across VHA using coincidence analysis. This was a cross-sectional analysis of survey data describing weight management treatment components linked with administrative data to compute population impact for each facility. Coincidence analysis was used to identify combinations of treatment components that led to higher population impact. Facilities with higher impact were in the top two quintiles for (1) reach to eligible patients and (2) weight outcomes. Sixty-nine facilities were included in the analyses. The final model explained 88% (29/33) of the higher-impact facilities with 91% consistency (29/32) and was comprised of five distinct pathways. Each of the five pathways depended on facility complexity-level plus factors from one or more of the three domains of weight management: comprehensive lifestyle interventions, pharmacotherapy, and/or bariatric surgery. Three pathways include components from multiple treatment domains. Combinations of conditions formed "recipes" that lead to higher population impact. Our coincidence analyses highlighted both the importance of local context and how combinations of specific conditions consistently and uniquely distinguished higher impact facilities from lower impact facilities for weight management.

Organizational Factors Associated with Guideline Concordance of Chronic Disease Care and Management Practices

BACKGROUND

Guidelines for managing and preventing chronic disease tend to be well-known. Yet, translation of this evidence into practice is inconsistent. We identify a combination of factors that are connected to guideline concordant delivery of evidence-informed chronic disease care in primary care.

METHODS

Cross-sectional observational study; purposively selected 22 practices to vary on size, ownership and geographic location, using National Quality Forum metrics to ensure practices had a ≥ 70% quality level for at least 2 of the following: aspirin use in high-risk individuals, blood pressure control, cholesterol and diabetes management. Interviewed 2 professionals (eg, medical director, practice manager) per practice (n = 44) to understand staffing and clinical operations. Analyzed data using an iterative and inductive approach.

RESULTS

Community Health Centers (CHCs) employed interdisciplinary clinical teams that included a variety of professionals as compared with hospital-health systems (HHS) and clinician-owned practices. Despite this difference, practice members consistently reported a number of functions that may be connected to clinical chronic care quality, including: having engaged leadership; a culture of teamwork; engaging in team-based care; using data to inform quality improvement; empaneling patients; and managing the care of patient panels, with a focus on continuity and comprehensiveness, as well as having a commitment to the community.

CONCLUSIONS

There are mutable organizational attributes connected-guideline concordant chronic disease care in primary care. Research and policy reform are needed to promote and study how to achieve widespread adoption of these functions and organizational attributes that may be central to achieving equity and improving chronic disease prevention.

Protocol for evaluating external facilitation as a strategy to nationally implement a novel stigma reduction training tool for healthcare providers

Background

Identity Development Evolution and Sharing (IDEAS) is a theatre-based intervention for reducing healthcare provider stigma. IDEAS films are created by collecting narratives from people who have experienced discrimination and healthcare inequity, partnering with professional playwrights to create theatrical scripts that maintain the words of the narratives while arranging them into compelling storylines involving several interviews, and hiring professional actors to perform and record scenes. IDEAS implementation requires a moderator to establish a respectful learning environment, play the filmed performance, set ground rules for discussion, and moderate a discussion between healthcare providers who viewed the film and invited panelists who are members of the minoritized population being discussed. IDEAS’ impact on provider stigma is measured via pre/post Acceptance and Action Questionnaire – Stigma (AAQ-S) data collected from participating providers. The objectives of this manuscript are to provide narrative review of how provider stigma may lead to healthcare inequity and health disparities, describe the conceptual frameworks underpinning the IDEAS intervention, and outline methods for IDEAS implementation and implementation evaluation.

Methods

This manuscript describes a hybrid type 3 design study protocol that uses the Consolidated Framework for Implementation Research (CFIR) to evaluate external facilitation, used as an implementation strategy to expand the reach of IDEAS. CFIR is also used to assess the impact of characteristics of the intervention and implementation climate on implementation success. Implementation success is defined by intervention feasibility and acceptability as well as self-efficacy of internal facilitators. This manuscript details the protocol for collection and evaluation of implementation data alongside that of effectiveness data. The manuscript provides new information about the use of configurational analysis, which uses Boolean algebra to analyze pathways to implementation success considering each variable, within and across diverse clinical sites across the USA.

Discussion

The significance of this protocol is that it outlines important information for future hybrid type 3 designs wishing to incorporate configurational analyses and/or studies using behavioral or atypical, complex, innovative interventions. The current lack of evidence supporting occupational justice-focused interventions and the strong evidence of stigma influencing health inequities underscore the necessity for the IDEAS intervention.

Pairing regression and configurational analysis in health services research: modelling outcomes in an observational cohort using a split-sample design

BACKGROUND

Configurational methods are increasingly being used in health services research.

OBJECTIVES

To use configurational analysis and logistic regression within a single data set to compare results from the two methods.

DESIGN

Secondary analysis of an observational cohort; a split-sample design involved randomly dividing patients into training and validation samples.

PARTICIPANTS AND SETTING

Patients who had a transient ischaemic attack (TIA) in US Department of Veterans Affairs hospitals.

MEASURES

The patient outcome was the combined endpoint of all-cause mortality or recurrent ischaemic stroke within 1 year post-TIA. The quality-of-care outcome was the without-fail rate (proportion of patients who received all processes for which they were eligible, among seven processes).

RESULTS

For the recurrent stroke or death outcome, configurational analysis yielded a three-pathway model identifying a set of (validation sample) patients where the prevalence was 15.0% (83/552), substantially higher than the overall sample prevalence of 11.0% (relative difference, 36%). The configurational model had a sensitivity (coverage) of 84.7% and specificity of 40.6%. The logistic regression model identified six factors associated with the combined endpoint (c-statistic, 0.632; sensitivity, 63.3%; specificity, 63.1%). None of these factors were elements of the configurational model. For the quality outcome, configurational analysis yielded a single-pathway model identifying a set of (validation sample) patients where the without-fail rate was 64.3% (231/359), nearly twice the overall sample prevalence (33.7%). The configurational model had a sensitivity (coverage) of 77.3% and specificity of 78.2%. The logistic regression model identified seven factors associated with the without-fail rate (c-statistic, 0.822; sensitivity, 80.3%; specificity, 84.2%). Two of these factors were also identified in the configurational analysis.

CONCLUSIONS

Configurational analysis and logistic regression represent different methods that can enhance our understanding of a data set when paired together. Configurational models optimise sensitivity with relatively few conditions. Logistic regression models discriminate cases from controls and provided inferential relationships between outcomes and independent variables.

How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia

BACKGROUND

COVID-19 infection has disproportionately affected socially disadvantaged neighborhoods. Despite this disproportionate burden of infection, these neighborhoods have also lagged in COVID-19 vaccinations. To date, we have little understanding of the ways that various types of social conditions intersect to explain the complex causes of lower COVID-19 vaccination rates in neighborhoods.

METHODS

We used configurational comparative methods (CCMs) to study COVID-19 vaccination rates in Philadelphia by neighborhood (proxied by zip code tabulation areas). Specifically, we identified neighborhoods where COVID-19 vaccination rates (per 10,000) were persistently low from March 2021 - May 2021. We then assessed how different combinations of social conditions (pathways) uniquely distinguished neighborhoods with persistently low vaccination rates from the other neighborhoods in the city. Social conditions included measures of economic inequities, racial segregation, education, overcrowding, service employment, public transit use, health insurance and limited English proficiency.

RESULTS

Two factors consistently distinguished neighborhoods with persistently low COVID-19 vaccination rates from the others: college education and concentrated racial privilege. Two factor values together - low college education AND low/medium concentrated racial privilege - identified persistently low COVID-19 vaccination rates in neighborhoods, with high consistency (0.92) and high coverage (0.86). Different values for education and concentrated racial privilege - medium/high college education OR high concentrated racial privilege - were each sufficient by themselves to explain neighborhoods where COVID-19 vaccination rates were not persistently low, likewise with high consistency (0.93) and high coverage (0.97).

CONCLUSIONS

Pairing CCMs with geospatial mapping can help identify complex relationships between social conditions linked to low COVID-19 vaccination rates. Understanding how neighborhood conditions combine to create inequities in communities could inform the design of interventions tailored to address COVID-19 vaccination disparities.

Clinic Factors Associated With Mailed Fecal Immunochemical Test (FIT) Completion: The Difference-Making Role of Support Staff

PURPOSE

Mailed fecal immunochemical test (FIT) programs can facilitate colorectal cancer (CRC) screening. We sought to identify modifiable, clinic-level factors that distinguish primary care clinics with higher vs lower FIT completion rates in response to a centralized mailed FIT program.

METHODS

We used baseline observational data from 15 clinics within a single urban federally qualified health center participating in a pragmatic trial to optimize a mailed FIT program. Clinic-level data included interviews with leadership using a guide informed by the Consolidated Framework for Implementation Research (CFIR) and FIT completion rates. We used template analysis to identify explanatory factors and configurational comparative methods to identify specific combinations of clinic-level conditions that uniquely distinguished clinics with higher and lower FIT completion rates.

RESULTS

We interviewed 39 clinic leaders and identified 58 potential explanatory factors representing clinic workflows and the CFIR inner setting domain. Clinic-level FIT completion rates ranged from 30% to 56%. The configurational model for clinics with higher rates (≥37%) featured any 1 of the following 3 factors related to support staff: (1) adding back- or front-office staff in past 12 months, (2) having staff help patients resolve barriers to CRC screening, and (3) having staff hand out FITs/educate patients. The model for clinics with lower rates involved the combined absence of these same 3 factors.

CONCLUSIONS

Three factors related to support staff differentiated clinics with higher and lower FIT completion rates. Adding nonphysician support staff and having those staff provide enabling services might help clinics optimize mailed FIT screening programs.

Evaluation of organizational capacity in the implementation of a church-based cancer education program

Implementation evaluations have increasingly taken into account how features of local context help determine implementation outcomes. The purpose of this study was to determine which contextual features of organizational capacity led directly to the RE-AIM Framework implementation outcomes of intervention reach and number of days taken to implement, in an implementation trial of a series of cancer education workshops conducted across 13 African American churches in Maryland. We used a configurational approach with Coincidence Analysis to identify specific features of organizational capacity that uniquely distinguished churches with implementation success from those that were less successful. Aspects of organizational capacity (e.g., congregation size, staffing/volunteers, health ministry experience) were drawn from an existing measure of church organizational capacity for health promotion. Solution pathways leading to higher intervention reach included: having a health ministry in place for 1-4 years; or having fewer than 100 members; or mid-size churches that had conducted health promotion activities in 1-4 different topics in the past 2 years. Solution pathways to implementing the intervention in fewer number of days included: having conducted 1-2 health promotion activities in the past 2 years; or having 1-5 part-time staff and a pastor without additional outside employment; or churches with a doctorally prepared pastor and a weekly attendance of 101-249 members. Study findings can inform future theory, research, and practice in implementation of evidence-based health promotion interventions delivered in faith-based and other limited-resource community settings. Findings support the important role of organizational capacity in implementation outcomes in these settings.

Facility-level conditions leading to higher reach: a configurational analysis of national VA weight management programming

Background

While the Veterans Health Administration (VHA) MOVE! weight management program is effective in helping patients lose weight and is available at every VHA medical center across the United States, reaching patients to engage them in treatment remains a challenge. Facility-based MOVE! programs vary in structures, processes of programming, and levels of reach, with no single factor explaining variation in reach. Configurational analysis, based on Boolean algebra and set theory, represents a mathematical approach to data analysis well-suited for discerning how conditions interact and identifying multiple pathways leading to the same outcome. We applied configurational analysis to identify facility-level obesity treatment program arrangements that directly linked to higher reach.

Methods

A national survey was fielded in March 2017 to elicit information about more than 75 different components of obesity treatment programming in all VHA medical centers. This survey data was linked to reach scores available through administrative data. Reach scores were calculated by dividing the total number of Veterans who are candidates for obesity treatment by the number of “new” MOVE! visits in 2017 for each program and then multiplied by 1000. Programs with the top 40 % highest reach scores (n = 51) were compared to those in the lowest 40 % (n = 51). Configurational analysis was applied to identify specific combinations of conditions linked to reach rates.

Results

One hundred twenty-seven MOVE! program representatives responded to the survey and had complete reach data. The final solution consisted of 5 distinct pathways comprising combinations of program components related to pharmacotherapy, bariatric surgery, and comprehensive lifestyle intervention; 3 of the 5 pathways depended on the size/complexity of medical center. The 5 pathways explained 78 % (40/51) of the facilities in the higher-reach group with 85 % consistency (40/47).

Conclusions

Specific combinations of facility-level conditions identified through configurational analysis uniquely distinguished facilities with higher reach from those with lower reach. Solutions demonstrated the importance of how local context plus specific program components linked together to account for a key implementation outcome. These findings will guide system recommendations about optimal program structures to maximize reach to patients who would benefit from obesity treatment such as the MOVE! program.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06774-w.