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BackgroundThough maintaining physical conditioning and a healthy weight are requirements of active military duty, many US veterans lose conditioning and rapidly gain weight after discharge from active duty service. Mobile health (mHealth) interventions using wearable devices are appealing to users and can be effective especially with personalized coaching support. We developed Stay Strong, a mobile app tailored to US veterans, to promote physical activity using a wrist-worn physical activity tracker, a Bluetooth-enabled scale, and an app-based dashboard. We tested whether adding personalized coaching components (Stay Strong+Coaching) would improve physical activity compared to Stay Strong alone. ObjectiveThe goal of this study is to compare 12-month outcomes from Stay Strong alone versus Stay Strong+Coaching. MethodsParticipants (n=357) were recruited from a national random sample of US veterans of recent wars and randomly assigned to the Stay Strong app alone (n=179) or Stay Strong+Coaching (n=178); both programs lasted 12 months. Personalized coaching components for Stay Strong+Coaching comprised of automated in-app motivational messages (3 per week), telephone-based human health coaching (up to 3 calls), and personalized weekly goal setting. All aspects of the enrollment process and program delivery were accomplished virtually for both groups, except for the telephone-based coaching. The primary outcome was change in physical activity at 12 months postbaseline, measured by average weekly Active Minutes, captured by the Fitbit Charge 2 device. Secondary outcomes included changes in step counts, weight, and patient activation. ResultsThe average age of participants was 39.8 (SD 8.7) years, and 25.2% (90/357) were female. Active Minutes decreased from baseline to 12 months for both groups (P

BackgroundOvertreatment and overtesting expose patients to unnecessary, wasteful, and potentially harmful care. Reducing overtreatment or overtesting that has become ingrained in current clinical practices and is being delivered on a routine basis will require solutions that incorporate a deep understanding of multiple perspectives, particularly those on the front lines of clinical care: patients and their clinicians. Design approaches are a promising and innovative way to incorporate stakeholder needs, desires, and challenges to develop solutions to complex problems. ObjectiveThis study aimed (1) to engage patients in a design process to develop high-level deintensification strategies for primary care (ie, strategies for scaling back or stopping routine medical services that more recent evidence reveals are not beneficial) and (2) to engage both patients and primary care providers in further co-design to develop and refine the broad deintensification strategies identified in phase 1. MethodsWe engaged stakeholders in design charrettes—intensive workshops in which key stakeholders are brought together to develop creative solutions to a specific problem—focused on deintensification of routine overuse in primary care. We conducted the study in 2 phases: a 6.5-hour design charrette with 2 different groups of patients (phase 1) and a subsequent 4-hour charrette with clinicians and a subgroup of phase 1 patients (phase 2). Both phases included surveys and educational presentations related to deintensification. Phase 1 involved several design activities (mind mapping, business origami, and empathy mapping) to help patients gain a deeper understanding of the individuals involved in deintensification. Following that, we asked participants to review hypothetical scenarios where patients, clinicians, or the broader health system context posed a barrier to deintensification and then to brainstorm solutions. The deintensification themes identified in phase 1 were used to guide phase 2. This second phase primarily involved 1 design activity (WhoDo). In this activity, patients and clinicians worked together to develop concrete actions that specific stakeholders could take to support deintensification efforts. This activity included identifying barriers to the actions and approaches to overcoming those barriers. ResultsA total of 35 patients participated in phase 1, and 9 patients and 7 clinicians participated in phase 2. The analysis of the deintensification strategies and survey data is currently underway. The results are expected to be submitted for publication in early 2020. ConclusionsHealth care interventions are frequently developed without input from the people who are most affected. The exclusion of these stakeholders in the design process often influences and limits the impact of the intervention. This study employed design charrettes, guided by a flexible user-centered design model, to bring clinicians and patients with differing backgrounds and with different expectations together to cocreate real-world solutions to the complex issue of deintensifying medical services. International Registered Report Identifier (IRRID)RR1-10.2196/15618

ObjectiveTo examine the perspectives of caregivers that are not part of the antibiotic stewardship program (ASP) leadership team (eg, physicians, nurses, and clinical pharmacists), but who interact with ASPs in their role as frontline healthcare workers.DesignQualitative semistructured interviews.SettingThe study was conducted in 2 large national healthcare systems including 7 hospitals in the Veterans' Health Administration and 4 hospitals in Intermountain Healthcare.ParticipantsWe interviewed 157 participants. The current analysis includes 123 nonsteward clinicians: 47 physicians, 26 pharmacists, 29 nurses, and 21 hospital leaders.MethodsInterviewers utilized a semistructured interview guide based on the Consolidated Framework for Implementation Research (CFIR), which was tailored to the participant's role in the hospital as it related to ASPs. Qualitative analysis was conducted using a codebook based on the CFIR.ResultsWe identified 4 primary perspectives regarding ASPs. (1) Non-ASP pharmacists considered antibiotic stewardship activities to be a high priority despite the added burden to work duties: (2) Nurses acknowledged limited understanding of ASP activities or involvement with these programs; (3) Physicians criticized ASPs for their restrictions on clinical autonomy and questioned the ability of antibiotic stewards to make recommendations without the full clinical picture; And (4) hospital leaders expressed support for ASPs and recognized the unique challenges faced by non-ASP clinical staff.ConclusionFurther understanding these differing perspectives of ASP implementation will inform possible ways to improve ASP implementation across clinical roles.

BackgroundDiabetes prevention is a national goal and particularly important in the Veterans Health Administration (VHA) where 1 in 4 veterans has diabetes. There is growing evidence to support the use of Web-based diabetes prevention program (DPP) interventions, shown to be as effective and often more feasible than in-person interventions. ObjectiveOur primary objective was to qualitatively explore women veterans’ early experiences with a Web-based DPP intervention. Our secondary objective was to estimate weight loss, participation, and engagement to provide context for our qualitative findings. MethodsWe conducted and analyzed semistructured interviews and collected data on weight change, participation, and engagement. A total of 17 women veterans with prediabetes from a Midwest VA Women’s Health Clinic were eligible to participate; 15 completed interviews. ResultsParticipants perceived the DPP program as an appealing way of initiating lifestyle changes and made them feel accountable in achieving their daily goals. The online program was convenient because it could be accessed at any time, and many found that it integrated well into daily life. However, some did not like the logging aspect and some found it to be too impersonal. Participants logged in a mean 76 times, posted a mean 46 group messages, and sent a mean 20.5 private messages to the health coach over 16 weeks. Participants lost 5.24% of baseline weight, and 82% (14/17) of participants completed at least 9 of 16 core modules. ConclusionsWomen veterans’ early experiences with a Web-based DPP intervention were generally positive. Accountability and convenience were key enabling factors for participation and engagement. A Web-based DPP intervention appears to be a promising means of translating the DPP for women veterans with prediabetes.

BackgroundTraditional research approaches do not promote timely implementation of evidence-based innovations (EBIs) to benefit patients. Embedding research within health systems can accelerate EBI implementation by blending rigorous methods with practical considerations in real-world settings. A state-of-the-art (SOTA) conference was convened in February 2019 with five workgroups that addressed five facets of embedded research and its potential to impact healthcare. This article reports on results from the workgroup focused on how embedded research programs can be implemented into heath systems for greatest impact.MethodsBased on a pre-conference survey, participants indicating interest in accelerating implementation were invited to participate in the SOTA workgroup. Workgroup participants (N = 26) developed recommendations using consensus-building methods. Ideas were grouped by thematic clusters and voted on to identify top recommendations. A summary was presented to the full SOTA membership. Following the conference, the workgroup facilitators (LJD, CDH, NR) summarized workgroup findings, member-checked with workgroup members, and were used to develop recommendations.ResultsThe workgroup developed 12 recommendations to optimize impact of embedded researchers within health systems. The group highlighted the tension between "ROI vs. R01" goals-where health systems focus on achieving return on their investments (ROI) while embedded researchers focus on obtaining research funding (R01). Recommendations are targeted to three key stakeholder groups: researchers, funders, and health systems. Consensus for an ideal foundation to support optimal embedded research is one that (1) maximizes learning; (2) aligns goals across all 3 stakeholders; and (3) implements EBIs in a consistent and timely fashion.ConclusionsFour cases illustrate a variety of ways that embedded research can be structured and conducted within systems, by demonstrating key embedded research values to enable collaborations with academic affiliates to generate actionable knowledge and meaningfully accelerate implementation of EBIs to benefit patients.ImplicationsEmbedded research approaches have potential for transforming health systems and impacting patient health. Accelerating embedded research should be a focused priority for funding agencies to maximize a collective return on investment.

ObjectiveTo examine how individual steward characteristics (eg, steward role, sex, and specialized training) are associated with their views of antimicrobial stewardship program (ASP) implementation at their institution.DesignDescriptive survey from a mixed-methods study.SettingTwo large national healthcare systems; the Veterans' Health Administration (VA) (n = 134 hospitals) and Intermountain Healthcare (IHC; n = 20 hospitals).ParticipantsWe sent the survey to 329 antibiotic stewards serving in 154 hospitals; 152 were physicians and 177 were pharmacists. In total, 118 pharmacists and 64 physicians from 126 hospitals responded.MethodsThe survey was grounded in constructs of the Consolidated Framework for Implementation Research, and it assessed stewards' views on the development and implementation of antibiotic stewardship programs (ASPs) at their institutions We then examined differences in stewards' views by demographic factors.ResultsRegardless of individual factors, stewards agreed that the ASP added value to their institution and was advantageous to patient care. Stewards also reported high levels of collegiality and self-efficacy. Stewards who had specialized training or those volunteered for the role were less likely to think that the ASP was implemented due to a mandate. Similarly volunteers and those with specialized training felt that they had authority in the antibiotic decisions made in their facility.ConclusionsGiven the importance of ASPs, it may be beneficial for healthcare institutions to recruit and train individuals with a true interest in stewardship.

BackgroundOrganizational culture, organizational climate, and implementation climate are key organizational constructs that influence the implementation of evidence-based practices. However, there has been little systematic investigation of the availability of psychometrically strong measures that can be used to assess these constructs in behavioral health. This systematic review identified and assessed the psychometric properties of measures of organizational culture, organizational climate, implementation climate, and related subconstructs as defined by the Consolidated Framework for Implementation Research (CFIR) and Ehrhart and colleagues.MethodsData collection involved search string generation, title and abstract screening, full-text review, construct assignment, and citation searches for all known empirical uses. Data relevant to nine psychometric criteria from the Psychometric and Pragmatic Evidence Rating Scale (PAPERS) were extracted: internal consistency, convergent validity, discriminant validity, known-groups validity, predictive validity, concurrent validity, structural validity, responsiveness, and norms. Extracted data for each criterion were rated on a scale from -1 ("poor") to 4 ("excellent"), and each measure was assigned a total score (highest possible score = 36) that formed the basis for head-to-head comparisons of measures for each focal construct.ResultsWe identified full measures or relevant subscales of broader measures for organizational culture (n = 21), organizational climate (n = 36), implementation climate (n = 2), tension for change (n = 2), compatibility (n = 6), relative priority (n = 2), organizational incentives and rewards (n = 3), goals and feedback (n = 3), and learning climate (n = 2). Psychometric evidence was most frequently available for internal consistency and norms. Information about other psychometric properties was less available. Median ratings for psychometric properties across categories of measures ranged from "poor" to "good." There was limited evidence of responsiveness or predictive validity.ConclusionWhile several promising measures were identified, the overall state of measurement related to these constructs is poor. To enhance understanding of how these constructs influence implementation research and practice, measures that are sensitive to change and predictive of key implementation and clinical outcomes are required. There is a need for further testing of the most promising measures, and ample opportunity to develop additional psychometrically strong measures of these important constructs.Plain language summaryOrganizational culture, organizational climate, and implementation climate can play a critical role in facilitating or impeding the successful implementation and sustainment of evidence-based practices. Advancing our understanding of how these contextual factors independently or collectively influence implementation and clinical outcomes requires measures that are reliable and valid. Previous systematic reviews identified measures of organizational factors that influence implementation, but none focused explicitly on behavioral health; focused solely on organizational culture, organizational climate, and implementation climate; or assessed the evidence base of all known uses of a measure within a given area, such as behavioral health-focused implementation efforts. The purpose of this study was to identify and assess the psychometric properties of measures of organizational culture, organizational climate, implementation climate, and related subconstructs that have been used in behavioral health-focused implementation research. We identified 21 measures of organizational culture, 36 measures of organizational climate, 2 measures of implementation climate, 2 measures of tension for change, 6 measures of compatibility, 2 measures of relative priority, 3 measures of organizational incentives and rewards, 3 measures of goals and feedback, and 2 measures of learning climate. Some promising measures were identified; however, the overall state of measurement across these constructs is poor. This review highlights specific areas for improvement and suggests the need to rigorously evaluate existing measures and develop new measures.

BackgroundAntibiotic stewardship programs (ASPs) are required at every hospital regardless of size. We conducted a qualitative study across different hospital settings to examine perspectives of physician and pharmacist stewards about the dynamics within their team and contextual factors that facilitate the success of their programs.MethodsSemistructured interviews were conducted in March-November 2018 with 46 ASP stewards, 30 pharmacists, and 16 physicians, from 39 hospitals within 2 large hospital systems.ResultsWe identified 5 major themes: antibiotic stewards were enthusiastic about their role, committed to the goals of stewardship for their patients and as a public-health imperative, and energized by successful interventions; responsibilities of pharmacist and physician stewards are markedly different, and pharmacy stewards performed the majority of the day-to-day stewardship work; collaborative teamwork is important to improving care, the pharmacists and physicians supported each other, and pharmacists believed that having a strong physician leader was essential; provider engagement strategies are a critical component of stewardship, and recommendations must be communicated in a collegial manner that did not judge the provider competence, preferably through face-to-face interactions; and hospital leadership support for ASP goals and for protected time for ASP activities is critical for success.ConclusionsThe physician-pharmacist team is essential for ASPs; most have pharmacists leading and performing day-to-day activities with physician support. Collaborative, persuasive approaches for ASP interventions were the norm. Stewards were careful not to criticize or judge inappropriate antibiotic prescribing. Further research should examine whether this persuasive approach undercuts provider appreciation of stewardship as a public health mandate.

Background: COVID-19 prevention and mitigation efforts were abrupt and challenging for most countries with the protracted lockdown straining socioeconomic activities. Marginalized groups and individuals are particularly vulnerable to adverse effects of the pandemic such as human rights abuses and violations which can lead to psychological distress. In this review, we focus on mental distress and disturbances that have emanated due to human rights restrictions and violations amidst the pandemic. We underscore how mental health is both directly impacted by the force of pandemic and by prevention and mitigation structures put in place to combat the disease. Methods: We conducted a review of relevant studies examining human rights violations in COVID-19 response, with a focus on vulnerable populations, and its association with mental health and psychological well-being. We searched PubMed and Embase databases for studies between December 2019 to July 2020. Three reviewers evaluated the eligibility criteria and extracted data. Results: Twenty-four studies were included in the systematic inquiry reporting on distress due to human rights violations. Unanimously, the studies found vulnerable populations to be at a high risk for mental distress. Limited mobility rights disproportionately harmed psychiatric patients, low-income individuals, and minorities who were at higher risk for self-harm and worsening mental health. Healthcare workers suffered negative mental health consequences due to stigma and lack of personal protective equipment and stigma. Other vulnerable groups such as the elderly, children, and refugees also experienced negative consequences. Conclusions: This review emphasizes the need to uphold human rights and address long term mental health needs of populations that have suffered disproportionately during the pandemic. Countries can embed a proactive psychosocial response to medical management as well as in existing prevention strategies. International human rights guidelines are useful in this direction but an emphasis should be placed on strengthening rights informed psychosocial response with specific strategies to enhance mental health in the long-term. We underscore that various fundamental human rights are interdependent and therefore undermining one leads to a poor impact on the others. We strongly recommend global efforts toward focusing both on minimizing fatalities, protecting human rights, and promoting long term mental well-being.

BACKGROUND:It is challenging to conduct and quickly disseminate findings from in-depth qualitative analyses, which can impede timely implementation of interventions because of its time-consuming methods. To better understand tradeoffs between the need for actionable results and scientific rigor, we present our method for conducting a framework-guided rapid analysis (RA) and a comparison of these findings to an in-depth analysis of interview transcripts. METHODS:Set within the context of an evaluation of a successful academic detailing (AD) program for opioid prescribing in the Veterans Health Administration, we developed interview guides informed by the Consolidated Framework for Implementation Research (CFIR) and interviewed 10 academic detailers (clinical pharmacists) and 20 primary care providers to elicit detail about successful features of the program. For the RA, verbatim transcripts were summarized using a structured template (based on CFIR); summaries were subsequently consolidated into matrices by participant type to identify aspects of the program that worked well and ways to facilitate implementation elsewhere. For comparison purposes, we later conducted an in-depth analysis of the transcripts. We described our RA approach and qualitatively compared the RA and deductive in-depth analysis with respect to consistency of themes and resource intensity. RESULTS:Integrating the CFIR throughout the RA and in-depth analysis was helpful for providing structure and consistency across both analyses. Findings from the two analyses were consistent. The most frequently coded constructs from the in-depth analysis aligned well with themes from the RA, and the latter methods were sufficient and appropriate for addressing the primary evaluation goals. Our approach to RA was less resource-intensive than the in-depth analysis, allowing for timely dissemination of findings to our operations partner that could be integrated into ongoing implementation. CONCLUSIONS:In-depth analyses can be resource-intensive. If consistent with project needs (e.g., to quickly produce information to inform ongoing implementation or to comply with a policy mandate), it is reasonable to consider using RA, especially when faced with resource constraints. Our RA provided valid findings in a short timeframe, enabling identification of actionable suggestions for our operations partner.

IN BRIEF This review highlights examples of the translation of the Diabetes Prevention Program (DPP) to underserved populations. Here, underserved populations are defined as groups whose members are at greater risk for health conditions such as diabetes but often face barriers accessing treatment. Strategies to develop and evaluate future DPP translations are discussed.

ObjectiveTo investigate whether older veterans enrolled in two diabetes prevention programs (DPPs) in the Veterans Health Administration will have similar weight loss as younger veterans.Research design and methodsPost hoc analysis of data from two prospective, pragmatic, nonrandomized studies of behavioral weight management interventions that were delivered in-person (Department of Veterans Affairs [VA]-DPP) or online (Online-DPP), comparing participation and weight loss between participants aged ≥65 years (N = 120) vs. 0.05).ConclusionsDPPs delivered in person or online can be similarly effective in older and younger veterans. Online programs may be an important means to improve the reach of DPPs for older adults.

Objective: The increasing prevalence of and inequities in childhood obesity demand improved access to effective treatment. The SmartMoves curriculum used in Bright Bodies, a proven‐effective, intensive health behavior and lifestyle treatment (IHBLT), was disseminated to ≥30 US sites from 2003 to 2018. We aimed to identify barriers to and facilitators of IHBLT implementation/sustainment. Methods: We surveyed and interviewed key informants about experiences acquiring/implementing SmartMoves. In parallel, we analyzed and then integrated survey findings and themes from interviews using the constant comparative method. Results: Participants from 16 sites (53%) completed surveys, and 12 participants at 10 sites completed interviews. The 11 sites (63%) that implemented SmartMoves varied in both use of training opportunities/materials and fidelity to program components. In interviews, demand for obesity programming, organizational priorities, and partnerships facilitated implementation. Seven sites discontinued SmartMoves prior to the COVID‐19 pandemic. Funding insecurity and insufficient staffing emerged as dominant barriers to implementation/sustainment discussed by all interviewees, and some also noted participants' competing demands and the program's fit with population as challenges. Conclusions: System‐ and organizational‐level barriers impeded sustainment of an evidence‐based IHBLT program. Adequate funding could enable sufficient staffing and training to promote fidelity to the intervention's core functions and adaptation to fit local populations/context. [ABSTRACT FROM AUTHOR]

IntroductionOnline Diabetes Prevention Programs (DPPs) can be scaled up and delivered broadly. However, little is known about real-world effectiveness and how outcomes compare with in-person DPP. This study examined online DPP weight loss and participation outcomes and secondarily compared outcomes among participating individuals with parallel in-person interventions.Study designA large non-randomized trial supplemented by a comparative analysis of participating individuals from a concurrent trial of two parallel in-person programs: in-person DPP and the Veterans Administration's standard of care weight loss program (MOVE!).Setting/participantsObese/overweight Veterans with prediabetes enrolled in online DPP (n = 268) between 2013 and 2014. Similar eligibility criteria were used to enroll in-person participants between 2012 and 2014 (n = 273 in-person DPP, n = 114 MOVE!) within a separate trial.InterventionOnline DPP included a virtual group format, live e-coach, weekly modules delivered asynchronously, and wireless home scales. In-person programs included eight to 22 group-based, face-to-face sessions.Main outcomes measuresWeight change at 6 and 12 months using wirelessly uploaded home scale data or electronic medical record weights from clinical in-person visits. Outcomes were analyzed between 2015 and 2017.ResultsFrom 1,182 invitations, 268 (23%) participants enrolled in online DPP. Among these, 158 (56%) completed eight or more modules; mean weight change was -4.7kg at 6 months and -4.0kg at 12 months. In a supplemental analysis of participants completing one or more sessions/modules, online DPP participants were most likely to complete eight or more sessions/modules (87% online DPP vs 59% in-person DPP vs 55% MOVE!, p

ObjectivesMental illness may impact outcomes from structured behavioral weight loss interventions. This secondary analysis investigated the influence of mental health on weight loss among Veterans with prediabetes enrolled in either an in-person diabetes prevention program (DPP) or the usual care weight management program (MOVE!) designed to help patients achieve weight loss through changes in physical activity and diet.MethodsPrediabetes was defined by Hemoglobin A1c between 5.7 and 6.4% or Fasting Plasma Glucose 100-125 mg/dL and no use of antiglycemic medications during the past six months. Veterans Health Administrative data were used to assign Veterans into one of three mental health diagnoses: severe mental illness (SMI), affective disorder (AD) without SMI, or No SMI/No AD. The influence of mental health on weight changes at 6 and 12 months was modeled using linear mixed-effects regression.ResultsOn average, Veterans with prediabetes (n = 386) were 59 years old (SD = 10.0 years), with a BMI of 34.8 kg/m2 (SD = 5.3 kg/m2) and A1c of 6.0% (SD = 0.2%). The sample consisted of 12% (n = 47), 39% (n = 150), and 49% (n = 189) diagnosed with SMI, AD and No SMI/No AD, respectively. Across interventions, Veterans with SMI lost less weight than those with AD or No SMI/No AD. From baseline to 6 months, weight loss was significantly less for Veterans with SMI (1.53 kg) compared to Veterans with AD (3.85 kg) or No SMI/No AD (3.73 kg). This weight loss trend by mental health diagnosis continued from baseline to 12 months but was no longer statistically significant at 12 months.ConclusionWeight loss was not clinically or statistically different among Veterans with prediabetes diagnosed with AD or No SMI/No AD. However, Veterans diagnosed with SMI exhibited less weight loss over 6 months than Veterans with AD or No SMI/No AD and though not statistically significant, the trend continued to 12 months, suggesting that SMI may influence weight loss outcomes.

BackgroundThe Diabetes Prevention Program (DPP) is an effective lifestyle intervention to reduce incidence of type 2 diabetes. However, there are gaps in knowledge about how to implement DPP. The aim of this study was to evaluate implementation of DPP via assessment of a clinical demonstration in the Veterans Health Administration (VHA).MethodsA 12-month pragmatic clinical trial compared weight outcomes between the Veterans Affairs Diabetes Prevention Program (VA-DPP) and the usual care MOVE!® weight management program (MOVE!). Eligible participants had a body mass index (BMI) ≥30 kg/m2 (or BMI ≥ 25 kg/m2 with one obesity-related condition), prediabetes (glycosylated hemoglobin (HbA1c) 5.7-6.5% or fasting plasma glucose (FPG) 100-125 mg/dL), lived within 60 min of their VA site, and had not participated in a weight management program within the last year. Established evaluation and implementation frameworks were used to guide the implementation evaluation. Implementation barriers and facilitators, delivery fidelity, participant satisfaction, and implementation costs were assessed. Using micro-costing methods, costs for assessment of eligibility and scheduling and maintaining adherence per participant, as well as cost of delivery per session, were also assessed.ResultsSeveral barriers and facilitators to Reach, Adoption, Implementation, Effectiveness and Maintenance were identified; barriers related to Reach were the largest challenge encountered by site teams. Fidelity was higher for VA-DPP delivery compared to MOVE! for five of seven domains assessed. Participant satisfaction was high in both programs, but higher in VA-DPP for most items. Based on micro-costing methods, cost of assessment for eligibility was $68/individual assessed, cost of scheduling and maintaining adherence was $328/participant, and cost of delivery was $101/session.ConclusionsMulti-faceted strategies are needed to reach targeted participants and successfully implement DPP. Costs for assessing patients for eligibility need to be carefully considered while still maximizing reach to the targeted population.

BackgroundObesity and obesity-related conditions, such as type 2 diabetes, are a major issue for Veteran health. Veterans Health Administration (VA) researchers and health systems leaders have worked separately and together to provide more effective weight management programs for Veterans. Although randomized clinical trials are often considered the gold standard for establishing efficacy of interventions in controlled circumstances, pragmatic clinical trials (PCTs) provide agility for translation.Main textVA researchers and health system leaders collaboratively designed a PCT to compare the Diabetes Prevention Program (VA-DPP) to usual care (MOVE!®) in promoting weight loss and glycemic control among overweight/obese Veterans with prediabetes. Together, they navigated the tensions that exist between quality improvement and research activities, facing challenges but reaping significant rewards. Early findings led to updated national guidance for delivering obesity treatment in VA.Short conclusionPartnered research and the use of PCTs can be powerful strategies for accelerating evidence-based findings into practice. Collaborative partnerships between researchers and health systems leaders can help enhance and sustain translation in real-world settings.

IntroductionThis clinical demonstration trial compared the effectiveness of the Veterans Affairs Diabetes Prevention Program (VA-DPP) with an evidence-based usual care weight management program (MOVE!®) in the Veterans Health Administration health system.DesignProspective, pragmatic, non-randomized comparative effectiveness study of two behavioral weight management interventions.Setting/participantsObese/overweight Veterans with prediabetes were recruited from three geographically diverse VA sites between 2012 and 2014.InterventionVA-DPP included 22 group-based intensive lifestyle change sessions.Main outcome measuresWeight change at 6 and 12 months, hemoglobin A1c (HbA1c) at 12 months, and VA health expenditure changes at 15 months were assessed using VA electronic health record and claims data. Between- and within-group comparisons for weight and HbA1c were done using linear mixed-effects models controlling for age, gender, race/ethnicity, baseline outcome values, and site. Analyses were conducted in 2015-2016.ResultsA total of 387 participants enrolled (273 VA-DPP, 114 MOVE!). More VA-DPP participants completed at least one (73.3% VA-DPP vs 57.5% MOVE! p=0.002); four (57.5% VA-DPP vs 42.5% MOVE!, p=0.007); and eight or more sessions (42.5% VA-DPP vs 31% MOVE!, p=0.035). Weight loss from baseline was significant at both 6 (p

This article summarizes outcomes of the behavioral interventions work group for the Veterans Health Administration (VHA) State of the Art Conference (SOTA) for Weight Management. Sixteen VHA and non-VHA subject matter experts, representing clinical care delivery, research, and policy arenas, participated. The work group reviewed current evidence of efficacy, effectiveness, and implementation of behavioral interventions for weight management, participated in phone- and online-based consensus processes, generated key questions to address gaps, and attended an in-person conference in March 2016. The work group agreed that there is strong evidence for efficacy and effectiveness of core behavioral intervention components and processes, but insufficient evidence to determine the comparative effectiveness of multiple clinician-delivered weight management modalities, as well as technologies that may or may not supplement clinician-delivered treatments. Effective strategies for implementation of weight management services in VHA were identified. The SOTA work group's foremost policy recommendations are to establish a system-wide culture for weight management and to identify a population-level health metric to measure the impact of weight management interventions that can be tracked and clearly communicated throughout VHA. The work group's top research recommendation is to determine how to deploy and scale the most effective behavioral weight management interventions for Veterans.

Objectives: To describe the impacts of four Veterans Health Administration (VA) Quality Enhancement Research Initiative (QUERI) projects implementing an evidence‐based lifestyle intervention known as the Diabetes Prevention Program (DPP). Data Sources and Study Setting: 2012–2024 VA administrative and survey data. Study Design: This is a summary of findings and impacts from four effectiveness‐implementation projects focused on in‐person and/or online DPP across VA sites. Data Collection/Extraction Methods: Patient demographics, participation data, and key findings and impacts were summarized across reports from the VA Diabetes‐Mellitus Quality Enhancement Research Initiative (QUERI‐DM) Diabetes Prevention Program (VA DPP) Trial, QUERI‐DM Online DPP Trial, the Enhancing Mental and Physical Health of Women through Engagement and Retention (EMPOWER) QUERI DPP Project, and EMPOWER 2.0 QUERI Program. Principal Findings: Between 2012 and 2024, four VA QUERI studies enrolled 963 Veterans in DPP across 16 VA sites. All participants had overweight/obesity with one additional risk factor for type 2 diabetes (i.e., prediabetes, elevated risk score, or history of gestational diabetes) and 56% (N = 536) were women. In addition to enhancing the reach of and engagement in diabetes prevention services among Veterans, these projects resulted in three key impacts as follows: (1) informing the national redesign of VA MOVE! including recommendations to increase the number of MOVE! sessions and revise guidelines across 150+ VA sites, (2) enhancing the national evidence base to support online DPP delivery options with citations in national care guidelines outside VA, and (3) demonstrating the importance of gender‐tailoring of preventive care services by and for women Veterans to enhance engagement in preventive services. Conclusions: Over the past decade, the evolution of VA QUERI DPP projects increased the reach of and engagement in diabetes prevention services among Veterans, including women Veterans who have been harder to engage in lifestyle change programs in VA, and resulted in three key impacts informing type 2 diabetes and obesity prevention efforts within and outside of VA. [ABSTRACT FROM AUTHOR]

Objective: To test effectiveness of the LEAP (Learn Engage Act Process) Program on engaging frontline Veteran Health Administration (VHA) medical center teams in continuous quality improvement (QI), a core capability for learning health systems. Data Sources and Study Setting: Data sources included VHA electronic health record (EHR) data, surveys, and LEAP coaching field notes. Study Design: A staggered difference‐in‐differences study was conducted. Fifty‐five facilities participated in LEAP across eight randomly assigned clusters of 6–8 facilities per cluster over 2 years. Non‐participating facilities were used as controls. A MOVE! weight management program team completed a Plan‐Do‐Study‐Act cycle of change supported by learning curriculum, coaching, and virtual collaboratives in LEAP facilities. Primary outcome was program reach to Veterans. A mixed‐effects model compared pre‐ versus post‐LEAP periods for LEAP versus control facilities. LEAP adherence, satisfaction, and cost to deliver LEAP were evaluated. Data Collection/Extraction Methods: Thirty months of facility‐level EHR MOVE! enrollment data were included in analyses. LEAP Satisfaction and QI skills were elicited via surveys at baseline and 6‐month post‐LEAP. Principal findings: Fifty‐five facilities were randomly assigned to eight time‐period‐based clusters to receive LEAP (71% completed LEAP) and 82 non‐participating facilities were randomly assigned as controls. Reach in LEAP and control facilities was comparable in the 12‐month pre‐LEAP period (p = 0.07). Though LEAP facilities experienced slower decline in reach in the 12‐month post‐LEAP period compared with controls (p < 0.001), this is likely due to unexplained fluctuations in controls. For LEAP facilities, satisfaction was high (all mean ratings >4 on a 5‐point scale), self‐reported use of QI methods increased significantly (p‐values <0.05) 6 months post‐LEAP, and delivery cost was $4024 per facility‐based team. Conclusion: Control facilities experienced declining reach in the 12‐month post‐LEAP period, but LEAP facilities did not, plus they reported higher engagement in QI, an essential capability for learning health systems. [ABSTRACT FROM AUTHOR]

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. Key words: quality improvement; configurational comparative methods; mixed methods; cardiovascular prevention; smoking cessation; blood pressure management; organizational change; primary care; practice-based research, INTRODUCTION Cardiovascular disease (CVD) is the leading cause of death in the United States, with stroke or heart disease contributing to 1 out of every 3 deaths. (1) Primary risk [...]