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BackgroundResearchers could benefit from methodological advancements to advance uptake of new treatments while also reducing healthcare disparities. A comprehensive determinants framework for healthcare disparity implementation challenges is essential to accurately understand an implementation problem and select implementation strategies.MethodsWe integrated and modified two conceptual frameworks—one from implementation science and one from healthcare disparities research to develop the Health Equity Implementation Framework. We applied the Health Equity Implementation Framework to a historical healthcare disparity challenge—hepatitis C virus (HCV) and its treatment among Black patients seeking care in the US Department of Veterans Affairs (VA). A specific implementation assessment at the patient level was needed to understand any barriers to increasing uptake of HCV treatment, independent of cost. We conducted a preliminary study to assess how feasible it was for researchers to use the Health Equity Implementation Framework. We applied the framework to design the qualitative interview guide and interpret results. Using quantitative data to screen potential participants, this preliminary study consisted of semi-structured interviews with a purposively selected sample of Black, rural-dwelling, older adult VA patients (N = 12), living with HCV, from VA medical clinics in the Southern part of the USA.ResultsThe Health Equity Implementation Framework was feasible for implementation researchers. Barriers and facilitators were identified at all levels including the patient, provider (recipients), patient-provider interaction (clinical encounter), characteristics of treatment (innovation), and healthcare system (inner and outer context). Some barriers reflected general implementation issues (e.g., poor care coordination after testing positive for HCV). Other barriers were related to healthcare disparities and likely unique to racial minority patients (e.g., testimonials from Black peers about racial discrimination at VA). We identified several facilitators, including patient enthusiasm to obtain treatment because of its high cure rates, and VA clinics that offset HCV stigma by protecting patient confidentiality.ConclusionThe Health Equity Implementation Framework showcases one way to modify an implementation framework to better assess health equity determinants as well. Researchers may be able to optimize the scientific yield of research inquiries by identifying and addressing factors that promote or impede implementation of novel treatments in addition to eliminating healthcare disparities.Electronic supplementary materialThe online version of this article (10.1186/s13012-019-0861-y) contains supplementary material, which is available to authorized users.

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BackgroundDespite the availability of psychosocial evidence-based practices (EBPs), treatment and outcomes for persons with mental disorders remain suboptimal. Replicating Effective Programs (REP), an effective implementation strategy, still resulted in less than half of sites using an EBP. The primary aim of this cluster randomized trial is to determine, among sites not initially responding to REP, the effect of adaptive implementation strategies that begin with an External Facilitator (EF) or with an External Facilitator plus an Internal Facilitator (IF) on improved EBP use and patient outcomes in 12 months.Methods/DesignThis study employs a sequential multiple assignment randomized trial (SMART) design to build an adaptive implementation strategy. The EBP to be implemented is life goals (LG) for patients with mood disorders across 80 community-based outpatient clinics (N N = 1,600 patients) from different U.S. regions. Sites not initially responding to REP (defined as <50% patients receiving ≥3 EBP sessions) will be randomized to receive additional support from an EF or both EF/IF. Additionally, sites randomized to EF and still not responsive will be randomized to continue with EF alone or to receive EF/IF. The EF provides technical expertise in adapting LG in routine practice, whereas the on-site IF has direct reporting relationships to site leadership to support LG use in routine practice. The primary outcome is mental health-related quality of life; secondary outcomes include receipt of LG sessions, mood symptoms, implementation costs, and organizational change.DiscussionThis study design will determine whether an off-site EF alone versus the addition of an on-site IF improves EBP uptake and patient outcomes among sites that do not respond initially to REP. It will also examine the value of delaying the provision of EF/IF for sites that continue to not respond despite EF.Trial registrationClinicalTrials.gov identifier: NCT02151331Electronic supplementary materialThe online version of this article (doi:10.1186/s13012-014-0132-x) contains supplementary material, which is available to authorized users.

Background Due to striking disparities in the implementation of healthcare innovations, it is imperative that researchers and practitioners can meaningfully use implementation determinant frameworks to understand why disparities exist in access, receipt, use, quality, or outcomes of healthcare. Our prior work documented and piloted the first published adaptation of an existing implementation determinant framework with health equity domains to create the Health Equity Implementation Framework. We recommended integrating these three health equity domains to existing implementation determinant frameworks: (1) culturally relevant factors of recipients, (2) clinical encounter or patient-provider interaction, and (3) societal context (including but not limited to social determinants of health). This framework was developed for healthcare and clinical practice settings. Some implementation teams have begun using the Health Equity Implementation Framework in their evaluations and asked for more guidance. Methods We completed a consensus process with our authorship team to clarify steps to incorporate a health equity lens into an implementation determinant framework. Results We describe steps to integrate health equity domains into implementation determinant frameworks for implementation research and practice. For each step, we compiled examples or practical tools to assist implementation researchers and practitioners in applying those steps. For each domain, we compiled definitions with supporting literature, showcased an illustrative example, and suggested sample quantitative and qualitative measures. Conclusion Incorporating health equity domains within implementation determinant frameworks may optimize the scientific yield and equity of implementation efforts by assessing and ideally addressing implementation and equity barriers simultaneously. These practical guidance and tools provided can assist implementation researchers and practitioners to concretely capture and understand barriers and facilitators to implementation disparities.

BackgroundWe evaluated a facilitation strategy to help clinical sites likely to experience challenges implement evidence-based Primary Care-Mental Health Integration (PC-MHI) care models within the context of a Department of Veterans Affairs (VA) initiative. This article describes our assessment of whether implementation facilitation (IF) can foster development of high quality PC-MHI programs that adhere to evidence, are sustainable and likely to improve clinical practices and outcomes.MethodsUtilizing a matched pair design, we conducted a qualitative descriptive evaluation of the IF strategy in sixteen VA primary care clinics. To assess program quality and adherence to evidence, we conducted one-hour structured telephone interviews, at two time points, with clinicians and leaders who knew the most about the clinics’ programs. We then created structured summaries of the interviews that VA national PC-MHI experts utilized to rate the programs on four dimensions (overall quality, adherence to evidence, sustainability and level of improvement).ResultsAt first assessment, seven of eight IF sites and four of eight comparison sites had implemented a PC-MHI program. Our qualitative assessment suggested that experts rated IF sites’ programs higher than comparison sites’ programs with one exception. At final assessment, all eight IF but only five comparison sites had implemented a PC-MHI program. Again, experts rated IF sites’ programs higher than their matched comparison sites with one exception. Over time, all ratings improved in five of seven IF sites and two of three comparison sites.ConclusionsImplementing complex evidence-based programs, particularly in settings that lack infrastructure, resources and support for such efforts, is challenging. Findings suggest that a blend of external expert and internal regional facilitation strategies that implementation scientists have developed and tested can improve PC-MHI program uptake, quality and adherence to evidence in primary care clinics with these challenges. However, not all sites showed these improvements. To be successful, facilitators likely need at least a moderate level of leaders’ support, including provision of basic resources. Additionally, we found that IF and strength of leadership structure may have a synergistic effect on ability to implement higher quality and evidence-based programs.Electronic supplementary materialThe online version of this article (doi:10.1186/s12913-017-2217-0) contains supplementary material, which is available to authorized users.

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