Merging Implementation Practice and Science to Scale Up Promising Practices: The Veterans Health Administration (VHA) Diffusion of Excellence (DoE) Program.

INTRODUCTION: The Veterans Health Administration (VHA) Diffusion of Excellence (DoE) program developed and manages a framework for identification, replication, and diffusion of promising practices throughout the nation's largest integrated health care system. DoE identifies promising practices through a "Shark Tank" competition with winning bidders receiving external implementation facilitation. DoE further supports diffusion of successful practices across the VHA. METHODS: This article presents results of a mixed methods implementation evaluation of DoE, focusing on program reach, program participation and decisions to adopt innovative practices, implementation processes, and practice sustainment. Data sources include practice adoption metrics, focus groups with bidders (two focus groups), observations of DoE events (seven events), surveys of stakeholders (five separate surveys), and semistructured interviews of facility directors, practice developers, implementation teams, and facilitators (133 participants). RESULTS: In the first four Shark Tank cohorts (2016-2018), 1,676 practices were submitted; 47 were designated Gold Status Practices (practices with facilitated implementation). Motivation for participation varied. Generally, staff led projects targeting problems they felt passionate about, facility directors focused on big-picture quality metrics and getting middle manager support, and frontline staff displayed variable motivation to implement new projects. Approximately half of facilitated implementation efforts were successful; barriers included insufficient infrastructure, staff, and resources. At the facility level, 73.3% of facilities originating or receiving facilitated implementation support have maintained the practice. VHA-wide, 834 decisions to adopt these practices were made. CONCLUSION: DoE has resulted in the identification of many candidate practices, promoted adoption of promising practices by facility directors, and supported practice implementation and diffusion across the VHA.

Implementation and sustainment of diverse practices in a large integrated health system: a mixed methods study.

BACKGROUND: One goal of health systems seeking to evolve into learning health systems is to accelerate the implementation and sustainment of evidence-based practices (EBPs). As part of this evolution, the Veterans Health Administration (VHA) developed the Innovation Ecosystem, which includes the Diffusion of Excellence (DoE), a program that identifies and diffuses Gold Status Practices (GSPs) across facilities. The DoE hosts an annual "Shark Tank" competition in which leaders bid on the opportunity to implement a GSP with 6 months of implementation support. Over 750 diverse practices were submitted in cohorts 2 and 3 of Shark Tank; 23 were designated GSPs and were implemented in 31 VA networks or facilities. As part of a national evaluation of the DoE, we identified factors contributing to GSP implementation and sustainment. METHODS: Our sequential mixed methods evaluation of cohorts 2 and 3 of Shark Tank included semi-structured interviews with at least one representative from 30/31 implementing teams (N = 78/105 people invited) and survey responses from 29/31 teams (N = 39/47 invited). Interviews focused on factors influencing implementation and future sustainment. Surveys focused on sustainment 1.5-2 years after implementation. The Consolidated Framework for Implementation Research (CFIR) informed data collection and directed content analysis. Ordinal scales were developed inductively to rank implementation and sustainment outcomes. RESULTS: Over 50% of teams (17/30) successfully implemented their GSP within the 6-month implementation period. Despite extensive implementation support, significant barriers related to centralized decision-making, staffing, and resources led to partial (n = 6) or no (n = 7) implementation for the remaining teams. While 12/17 initially successful implementation teams reported sustained use of their GSP, over half of the initially unsuccessful teams (n = 7/13) also reported sustained GSP use 1.5 years after the initial implementation period. When asked at 6 months, 18/27 teams with complete data accurately anticipated their future sustainability based on reported sustainment an average of 1.5 years later. CONCLUSIONS: Most teams implemented within 6 months and/or sustained their GSP 1.5 years later. High levels of implementation and sustainment across diverse practices and teams suggest that VHA's DoE is a successful large-scale model of diffusion. Team predictions about sustainability after the first 6 months of implementation provide a promising early assessment and point of intervention to increase sustainability.

Homeless women's service use, barriers, and motivation for participating in substance use treatment.

BACKGROUND: Homeless women are at high risk for substance use disorder (SUD), and are a growing proportion of the homeless population. However, homeless women experience barriers to engaging in substance use services. OBJECTIVES: Among homeless women with SUD, to explore service use, motivation to change, service barriers, and willingness to have substance use and mental health problems addressed in primary health care. METHODS: Women with SUD were sampled from 11 Health Care for the Homeless (HCH) primary care clinics in 9 states, yielding 241 with either an alcohol or drug use disorder who then completed questions about SUD services. RESULTS: Over 60% of women with dual alcohol and drug use disorders used some type of SUD service in the past year, while 52% with a drug only disorder, and 44% with an alcohol only disorder used services. The most mentioned barrier to service use was depression, but cost, wait time, where to find treatment, and facilities located too far away, were also frequently noted. A large proportion across all groups indicated high motivation for treatment and willingness to discuss their SUD in a primary care setting. CONCLUSION: There are continued barriers to SUD service use for homeless women despite high motivation for treatment, and willingness to be asked about SUD and mental health problems in primary care. HCH primary care sites should more systematically ask about SUD and mental health issues and address women's expressed need for support groups and alternative therapies to more holistically address their SUD needs.

Prevalence and predictors of substance use disorders among homeless women seeking primary care: An 11 site survey.

BACKGROUND AND OBJECTIVES: Homeless women have shown high rates of substance use disorders (SUD), but many studies are more than a decade old, limited in geographic location, or focus only on women living outdoors or in shelters. The purpose of this study was to obtain a more current and representative sample of homeless women and the prevalence and predictors of substance use disorders among women seeking primary care at Health Care for the Homeless clinics across the US. METHODS: Eleven Health Care for the Homeless (HCH) clinics in nine states contributed proportionally to a sample of n = 780 female patients who completed a self-administered survey including demographics, housing history, health, mental health, and drug and alcohol use. RESULTS: Compared to the general population of women, rates were four times higher for an alcohol use disorder, and 12 times higher for a drug use disorder. DISCUSSION AND CONCLUSIONS: The findings indicate a significant need for SUD services, with an equally high need for mental health services. In addition, high rates of victimization and use of tobacco, and overall poor health status, indicate overall health disparities. SCIENTIFIC SIGNIFICANCE: Addressing barriers to full integration of substance use and mental health services, such as improving screening, reimbursement, clinician training, and addressing biases about motivation of this population to engage in treatment, are necessary to improve the health of women seeking care in HCH settings. (Am J Addict 2017;26:680-688).