Organizational Characteristics of Hospitals Meeting STRIDE Program Adoption Benchmarks to Support Mobility for Hospitalized Persons.

There are few validated contextual measures predicting adoption of evidence-based programs. Variation in context at clinical sites can hamper dissemination. We examined organizational characteristics of Veterans Affairs hospitals implementing STRIDE, a hospital walking program, and characteristics' influences on program adoption. Using a parallel mixed-method design, we describe context and organizational characteristics by program adoption. Organizational characteristics included: organizational resilience, implementation climate, organizational readiness to implement change, highest complexity sites versus others, material support, adjusted length of stay (LOS) above versus below national median, and improvement experience. We collected intake forms at hospital launch and qualitative interviews with staff members at 4 hospitals that met the initial adoption benchmark, defined as completing supervised walks with 5+ unique hospitalized Veterans during months 5 to 6 after launch with low touch implementation support. We identified that 31% (n = 11 of 35) of hospitals met adoption benchmarks. Seven percent of highest complexity hospitals adopted compared to 48% with lower complexity. Forty-three percent that received resources adopted compared to 29% without resources. Thirty-six percent of hospitals with above-median LOS adopted compared to 23% with below-median. Thirty-five percent with at least some implementation experience adopted compared to 0% with very little to no experience. Adopters reported higher organizational resilience than non-adopters (mean = 23.5 [SD = 2.6] vs 22.7 [SD = 2.6]). Adopting hospitals reported greater organizational readiness to change than those that did not (mean = 4.2 [SD = 0.5] vs 3.8 [SD = 0.6]). Qualitatively, all sites reported that staff were committed to implementing STRIDE. Participants reported additional barriers to adoption including challenges with staffing and delays associated with hiring staff. Adopters reported that having adequate staff facilitated implementation. Implementation climate did not have an association with meeting STRIDE program adoption benchmarks in this study. Contextual factors which may be simple to assess, such as resource availability, may influence adoption of new programs without intensive implementation support.

A stepped wedge cluster randomized trial to evaluate the effectiveness of a multisite family caregiver skills training program.

OBJECTIVE: To assess the effects of an evidence-based family caregiver training program (implementation of Helping Invested Families Improve Veteran Experiences Study [iHI-FIVES]) in the Veterans Affairs healthcare system on Veteran days not at home and family caregiver well-being. DATA SOURCES AND STUDY SETTING: Participants included Veterans referred to home- and community-based services with an identified caregiver across 8 medical centers and confirmed family caregivers of eligible Veterans. STUDY DESIGN: In a stepped wedge cluster randomized trial, sites were randomized to a 6-month time interval for starting iHI-FIVES and received standardized implementation support. The primary outcome, number of Veteran "days not at home," and secondary outcomes, changes over 3 months in measures of caregiver well-being, were compared between pre- and post-iHI-FIVES intervals using generalized linear models including covariates. DATA COLLECTION/EXTRACTION METHODS: Patient data were extracted from the electronic health record. Caregiver data were collected from 2 telephone-based surveys. PRINCIPAL FINDINGS: Overall, n = 898 eligible Veterans were identified across pre-iHI-FIVES (n = 327) and post-iHI-FIVES intervals (n = 571). Just under one fifth (17%) of Veterans in post-iHI-FIVES intervals had a caregiver enroll in iHI-FIVES. Veteran and caregiver demographics in pre-iHI-FIVES intervals were similar to those in post-iHI-FIVES intervals. In adjusted models, the estimated rate of days not at home over 6-months was 42% lower (rate ratio = 0.58 [95% confidence interval: 0.31-1.09; p = 0.09]) post-iHI-FIVES compared with pre-iHI-FIVES. The estimated mean days not at home over a 6-month period was 13.0 days pre-iHI-FIVES and 7.5 post-iHI-FIVES. There were no differences between pre- and post-iHI-FIVES in change over 3 months in caregiver well-being measures. CONCLUSIONS: Reducing days not at home is consistent with effectiveness because more time at home increases quality of life. In this study, after adjusting for Veteran characteristics, we did not find evidence that implementation of a caregiver training program yielded a reduction in Veteran's days not at home.

Adaptations and early adoption of a family caregiver intervention in the Veterans Affairs Health Care System: A multimethod pragmatic approach for national scaling.

OBJECTIVE: To examine the relationship between site-level adaptation and early adoption of Caregivers Finding Important Resources, Support, and Training (FIRST) training during national implementation across diverse Veteran Health Administration (VA) medical centers. DATA SOURCES AND STUDY SETTING: We enrolled and evaluated 25 VA medical centers (VAMCs). Along with administrative data on site characteristics, we examined site-reported data on adaptations and intervention adoption, defined as ≥4 training classes delivered to ≥5 caregivers at 6 months from April through October 2022. STUDY DESIGN: A type III hybrid implementation-effectiveness cluster randomized controlled trial, randomized VAMCs 1:1 to receive foundational (low-touch) implementation support (n = 12) or the addition of enhanced (high-touch) implementation support (n = 13). DATA COLLECTION/EXTRACTION METHODS: At key implementation phases, VAMCs were asked to report adaptations including content, contextual modifications (format, setting, personnel, and population), and training of providers. We describe site-level adaptations by arm and by organizational characteristics that included VAMC complexity level, staffing, rurality, and organizational readiness to change. We used qualitative comparative analysis to identify unique adaptations that contributed to intervention adoption at 6 months. PRINCIPAL FINDINGS: VAMCs randomized to receive enhanced support reported slightly more adaptations than those randomized to foundational support. At 6 months, VAMCs with two or more adaptations adopted Caregivers FIRST at a higher rate than those with fewer adaptations (90% vs. 44%). Staffing adaptations (e.g., who delivered the intervention), format and content (e.g., modified delivery pace), and referring provider training were unique adaptations to adopting sites. CONCLUSIONS: Site-level adaptations were diverse and occurred more frequently in sites with early adoption of Caregivers FIRST. Future research should identify best practices of supporting and monitoring intervention adaptation. Understanding the role of adaptation in early adoption success could assist other healthcare systems in implementing interventions for caregivers.

Implementation outcomes from a multi-site stepped wedge cluster randomized family caregiver skills training trial.

OBJECTIVE: To assess whether a team collaboration strategy (CONNECT) improves implementation outcomes of a family caregiver skills training program (iHI-FIVES). DATA SOURCES AND STUDY SETTING: iHI-FIVES was delivered to caregivers at eight Veterans Affairs (VA) medical centers. Data sources were electronic health records, staff surveys, and interviews. STUDY DESIGN: In a stepped wedge cluster randomized trial, sites were randomized to a 6-month time interval start date for iHI-FIVES launch. Sites were then randomized 1:1 to either (i) CONNECT, a team collaboration training strategy plus Replicating Effective Programs (REP), brief technical support training for staff, or (ii) REP only (non-CONNECT arm). Implementation outcomes included reach (proportion of eligible caregivers enrolled) and fidelity (proportion of expected trainings delivered). Staff interviews and surveys assessed team function including communication, implementation experience, and their relation to CONNECT and iHI-FIVES implementation outcomes. DATA COLLECTION/EXTRACTION METHODS: The sample for assessing implementation outcomes included 571 Veterans referred to VA home- and community-based services and their family caregivers eligible for iHI-FIVES. Prior to iHI-FIVES launch, staff completed 65 surveys and 62 interviews. After the start of iHI-FIVES, staff completed 52 surveys and 38 interviews. Mixed methods evaluated reach and fidelity by arm. PRINCIPAL FINDINGS: Fidelity was high overall with 88% of expected iHI-FIVES trainings delivered, and higher among REP only (non-CONNECT) compared with CONNECT sites (95% vs. 80%). Reach was 18% (average proportion of reach across eight sites) and higher among non-CONNECT compared with CONNECT sites (22% vs. 14%). Qualitative interviews revealed strong leadership support at high-reach sites. CONNECT did not influence self-reported team function. CONCLUSIONS: A team collaboration strategy (CONNECT), added to REP, required more resources to implement iHI-FIVES than REP only and did not substantially enhance reach or fidelity. Leadership support was a key condition of implementation success and may be an important factor for improving iHI-FIVES reach with national expansion.

Enhancing team communication to improve implementation of a supervised walking program for hospitalized veterans: Evidence from a multi-site trial in the Veterans Health Administration.

INTRODUCTION: The timely translation of evidence-based programs into real-world clinical settings is a persistent challenge due to complexities related to organizational context and team function, particularly in inpatient settings. Strategies are needed to promote quality improvement efforts and implementation of new clinical programs. OBJECTIVE: This study examines the role of CONNECT, a complexity science-based implementation intervention to promote team readiness, for enhancing implementation of the 'Assisted Early Mobility for Hospitalized Older Veterans' program (STRIDE), an inpatient, supervised walking program. DESIGN: We conducted a stepped-wedge cluster randomized trial using a convergent mixed-methods design. Within each randomly assigned stepped-wedge sequence, Veterans Affairs Medical Centers (VAMCs) were randomized to receive standardized implementation support only or additional training via the CONNECT intervention. Data for the study were obtained from hospital administrative and electronic health records, surveys, and semi-structured interviews with clinicians before and after implementation of STRIDE. SETTING: Eight U.S. VAMCs. PARTICIPANTS: Three hundred fifty-three survey participants before STRIDE implementation and 294 surveys after STRIDE implementation. Ninety-two interview participants. INTERVENTION: CONNECT, a complexity-science-based intervention to improve team function. MAIN OUTCOME MEASURES: The implementation outcomes included STRIDE reach and fidelity. Secondary outcomes included validated measures of team function (i.e., team communication, coordination, role clarity). RESULTS: At four VAMCs randomized to CONNECT, reach was higher (mean 12.4% vs. 3.8%), and fidelity was similar to four non-CONNECT VAMCs. VAMC STRIDE delivery teams receiving CONNECT reported improvements in team function domains, similar to non-CONNECT VAMCs. Qualitative findings highlight CONNECT's impact and the influence of team characteristics and contextual factors, including team cohesion, leadership support, and role clarity, on reach and fidelity. CONCLUSION: CONNECT may promote greater reach of STRIDE, but improvement in team function among CONNECT VAMCs was similar to improvement among non-CONNECT VAMCs. Qualitative findings suggest that CONNECT may improve team function and implementation outcomes but may not be sufficient to overcome structural barriers related to implementation capacity.

"I've been doing this for years": the COVID-19 pandemic and family caregiver isolation and loneliness.

Background: Family caregivers are family members or friends of care recipients who assist with activities of daily living, medication management, transportation, and help with finances among other activities. As a result of their caregiving, family caregivers are often considered a population at risk of experiencing increased stress, isolation, and loneliness. During the COVID-19 pandemic in the US, social isolation and decrease in social activities were a top concern among older adults and their family caregivers. Using secondary analysis of survey data as part of a multi-site implementation trial of a caregiver skills training program, we describe differences in caregiver experiences of loneliness before and during the COVID-19 pandemic. Methods: Health and wellbeing surveys of family caregivers were collected on 422 family caregivers of veterans before and during COVID-19. Logistic regression modeling examined whether the loneliness differed between caregiver groups pre vs during COVID-19, using the UCLA 3-item loneliness measure. Rapid directed qualitative content analysis of open-ended survey questions was used to explore the context of how survey responses were affected by the COVID-19 pandemic. Results: There were no significant differences in loneliness between caregivers pre vs during COVID-19. In open-ended responses regarding effects of COVID-19, caregivers described experiencing loneliness and social isolation; why they were unaffected by the pandemic; and how caregiving equipped them with coping strategies to manage negative pandemic-related effects. Conclusion: Loneliness did not differ significantly between pre vs during COVID-19 caregivers. Future research could assess what specific characteristics are associated with caregivers who have resiliency, and identify caregivers who are more susceptible to experiencing loneliness. Understanding caregiver loneliness could assist other healthcare systems in developing and implementing caregiver support interventions.

Understanding veterans' experiences with lung cancer and psychological distress: A multimethod approach.

Psychological distress while coping with cancer is a highly prevalent and yet underrecognized and burdensome adverse effect of cancer diagnosis and treatment. Left unaddressed, psychological distress can further exacerbate poor mental health, negatively influence health management behaviors, and lead to a worsening quality of life. This multimethod study primarily focused on understanding veterans' psychological distress and personal experiences living with lung cancer (an underrepresented patient population). In a sample of 60 veterans diagnosed with either nonsmall cell lung cancer (NSCLC) or small cell lung cancer (SCLC), we found that distress is common across clinical psychology measures of depression (37% [using the Patient Health Questionnaire, PHQ-9 measure]), anxiety (35% [using the Generalized Anxiety Disorder, GAD-7 measure]), and cancer-related posttraumatic stress (13% [using the Posttraumatic Stress Symptom Checklist measure]). A total of 23% of the sample endorsed distress scores on two or more mental health screeners. Using a broader cancer-specific distress measure (National Comprehensive Cancer Network), 67% of our sample scored above the clinical cutoff (i.e., ≥ 3), and in the follow-up symptom checklist of the National Comprehensive Cancer Network measure, a majority endorsed feeling sadness (75%), worry (73%), and depression (60%). Qualitative analysis with a subset of 25 veterans highlighted that psychological distress is common, variable in nature, and quite bothersome. Future research should (a) identify veterans at risk for distress while living with lung cancer and (b) test supportive mental health interventions to target psychological distress among this vulnerable veteran population. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Diabetes distress in Veterans with type 2 diabetes mellitus: Qualitative descriptive study.

Diabetes distress (DD) is a negative psychosocial response to living with type 2 diabetes mellitus (T2DM). We sought insight into Veterans' experiences with DD in the context of T2DM self-management. The four domains in the Diabetes Distress Scale (i.e. regimen, emotional, interpersonal, healthcare provider) informed the interview guide and analysis (structural coding using thematic analysis). The mean age of the cohort (n = 36) was 59.1 years (SD 10.4); 8.3% of patients were female and 63.9% were Black or Mixed Race; mean A1C was 8.8% (SD 2.0); and mean DDS score was 2.4 (SD 1.1), indicating moderate distress. Veterans described DD and challenges to T2DM self-management across the four domains in the Diabetes Distress Scale. We found that (1) Veterans' challenges with their T2DM self-management routines influenced DD and (2) Veterans experienced DD across a wide range of domains, indicating that clinical interventions should take a "whole-person" approach.Trial Registration: NCT04587336.

Evaluating Therapeutic Inertia in Two Telehealth Interventions for Type 2 Diabetes: Secondary Analyses of a Randomized Trial.

Introduction: Although therapeutic inertia is a known driver of suboptimal type 2 diabetes control, little is known about how to combat this phenomenon. We analyzed randomized trial data to determine whether a comprehensive telehealth intervention was more effective than a less structured telehealth approach (telemonitoring and care coordination) at promoting treatment intensification in poorly controlled diabetes. Methods: Patients with poorly controlled type 2 diabetes were randomized 1:1 to telemonitoring/care coordination or a comprehensive telehealth intervention, which included an active, study provider-guided medication management component. Prospectively collected medication lists were used to determine whether treatment intensification occurred for each patient during 3-month intervals throughout the study period. To examine between-arm differences in treatment intensification over time, we fit a generalized estimation equation model. In each arm, hemoglobin A1c levels at the beginning and end of each 3-month interval were used to distinguish between therapeutic inertia and potentially appropriate nonintensification of treatment. Results: The mean, model-estimated likelihood of treatment intensification during 3-month intervals was 61.3% in the comprehensive telehealth group versus 48.6% for telemonitoring/care coordination (odds ratio 1.7, 95% confidence interval 1.2-2.2; p = 0.0007), with no evidence that treatment effect varied over time (p = 0.54). Treatment intervals with observed therapeutic inertia were more common in the telemonitoring/care coordination arm than the comprehensive telehealth arm (116/300, 39% vs. 57/275, 21%). Conclusions: A comprehensive telehealth approach that integrated protocol-guided medication management increased treatment intensification and reduced therapeutic inertia compared with a less structured telehealth approach. The studied approaches may serve as examples of how systems might use telehealth to combat therapeutic inertia. Clinical Trial Registration: ClinicalTrials.gov NCT03520413.

Evaluation of strategies to support implementation of a hospital walking program: protocol for a type III effectiveness-implementation hybrid trial.

BACKGROUND: STRIDE is a supervised walking program designed to address the negative consequences of immobility during hospitalization for older adults. In an 8-hospital stepped wedge randomized controlled trial, STRIDE was associated with reduced odds of hospital discharge to skilled nursing facility. STRIDE has the potential to become a system-wide approach to address hospital-associated disability in Veteran's Affairs; however, critical questions remain about how best to scale and sustain the program. The overall study goal is to compare the impact of two strategies on STRIDE program penetration (primary), fidelity, and adoption implementation outcomes. METHODS: Replicating Effective Programs will be used as a framework underlying all implementation support activities. In a parallel, cluster randomized trial, we will use stratified blocked randomization to assign hospitals (n = 32) to either foundational support, comprised of standard, low-touch activities, or enhanced support, which includes the addition of tailored, high-touch activities if hospitals do not meet STRIDE program benchmarks at 6 and 8 months following start date. All hospitals begin with foundational support for 6 months until randomization occurs. The primary outcome is implementation penetration defined as the proportion of eligible hospitalizations with ≥ 1 STRIDE walks at 10 months. Secondary outcomes are fidelity and adoption with all implementation outcomes additionally examined at 13 and 16 months. Fidelity will be assessed for STRIDE hospitalizations as the percentage of eligible hospital days with "full dose" of the program, defined as two or more documented walks or one walk for more than 5 min. Program adoption is a binary outcome defined as ≥ 5 patients with a STRIDE walk or not. Analyses will also include patient-level effectiveness outcomes (e.g., discharge to nursing home, length of stay) and staffing and labor costs. We will employ a convergent mixed-methods approach to explore and understand pre-implementation contextual factors related to differences in hospital-level adoption. DISCUSSION: Our study results will dually inform best practices for promoting successful implementation of an evidence-based hospital-based walking program. This information may support other programs by advancing our understanding of how to apply and scale-up national implementation strategies. TRIAL REGISTRATION: This study was registered on June 1, 2021, at ClinicalTrials.gov (identifier NCT04868656 ).

If You Build It, Will They Come? Patient and Provider Use of a Novel Hybrid Telehealth Care Pathway for Low Back Pain.

OBJECTIVE: The purpose of this study was to describe the referrals and use of a hybrid care model for low back pain that includes on-site care by physical therapists, physical activity training, and psychologically informed practice (PiP) delivered by telehealth in the Improving Veteran Access to Integrated Management of Low Back Pain (AIM-Back) trial. METHODS: Data were collected from November 2020 through February 2023 from 5 Veteran Health Administration clinics participating in AIM-Back, a multisite, cluster-randomized embedded pragmatic trial. The authors extracted data from the Veteran Health Administration Corporate Data Warehouse to describe referral and enrollment metrics, telehealth use (eg, distribution of physical activity and PiP calls), and treatments used by physical therapists and telehealth providers. RESULTS: Seven hundred one veterans were referred to the AIM-Back trial with 422 enrolling in the program (consult-to-enrollment rate = 60.2%). After travel restrictions were lifted, site visits resulted in a significant increase in referrals and a number of new referring providers. At initial evaluation by on-site physical therapists, 92.2% of veterans received pain modulation (eg, transcutaneous electrical nerve stimulation, manual therapy). Over 81% of enrollees completed at least 1 telehealth physical activity call, with a mean of 2.8 (SD = 2.0) calls out of 6. Of the 167 veterans who screened as medium to high risk of persistent disability, 74.9% completed at least 1 PiP call, with a mean of 2.5 (SD = 2.0) calls out of 6. Of those who completed at least 1 PiP call (n = 125), 100% received communication strategies, 97.6% received pain coping skills training, 89.6% received activity-based treatments, and 99.2% received education in a home program. CONCLUSION: In implementing a hybrid care pathway for low back pain, the authors observed consistency in the delivery of core components (ie, pain modulation, use of physical activity training, and risk stratification to PiP), notable variability in telehealth calls, high use of PiP components, and increased referrals with tailored provider engagement. IMPACT: These findings describe variability occurring within a hybrid care pathway and can inform future implementation efforts.

Group physical therapy for knee osteoarthritis: protocol for a hybrid type III effectiveness-implementation trial.

BACKGROUND: Knee osteoarthritis (OA) is a leading cause of chronic pain and disability and one of the most common conditions treated in outpatient physical therapy (PT). Because of the high and growing prevalence of knee OA, there is a need for efficient approaches for delivering exercise-based PT to patients with knee OA. A prior randomized controlled trial (RCT) showed that a 6-session Group Physical Therapy Program for Knee OA (Group PT) yields equivalent or greater improvements in pain and functional outcomes compared with traditional individual PT, while requiring fewer clinician hours per patient to deliver. This manuscript describes the protocol for a hybrid type III effectiveness-implementation trial comparing two implementation packages to support delivery of Group PT. METHODS: In this 12-month embedded trial, a minimum of 16 Veterans Affairs Medical Centers (VAMCs) will be randomized to receive one of two implementation support packages for their Group PT programs: a standard, low-touch support based on Replicating Effective Programs (REP) versus enhanced REP (enREP), which adds tailored, high-touch support if sites do not meet Group PT adoption and sustainment benchmarks at 6 and 9 months following launch. Implementation outcomes, including penetration (primary), adoption, and fidelity, will be assessed at 6 and 12 months (primary assessment time point). Additional analyses will include patient-level effectiveness outcomes (pain, function, satisfaction) and staffing and labor costs. A robust qualitative evaluation of site implementation context and experience, as well as site-led adaptations to the Group PT program, will be conducted. DISCUSSION: To our knowledge, this study is the first to evaluate the impact of tailored, high-touch implementation support on implementation outcomes when compared to standardized, low-touch support for delivering a PT-based intervention. The Group PT program has strong potential to become a standard offering for PT, improving function and pain-related outcomes for patients with knee OA. Results will provide information regarding the effectiveness and value of this implementation approach and a deeper understanding of how healthcare systems can support wide-scale adoption of Group PT. TRIAL REGISTRATION: This study was registered on March 7, 2022 at ClinicalTrials.gov (identifier NCT05282927 ).

Implementation intensification to disseminate a skills-based caregiver training program: protocol for a type III effectiveness-implementation hybrid trial.

BACKGROUND: Family caregiver training decreases caregiver psychological burden and improves caregiver depressive symptoms and health-related quality of life. Caregivers FIRST is an evidence-based group skills training curriculum for family caregivers and was announced for national dissemination in partnership with the Veterans Health Administration (VHA) National Caregiver Support Program (CSP). Previous evaluations of Caregivers FIRST implementation highlighted that varying support was needed to successfully implement the program, ranging from minimal technical assistance to intensive assistance and support. However, we do not know the optimal level of support needed to inform cost-effective national scaling of the program. We describe a protocol for randomizing 24 non-adopting VA medical centers 1:1 to a tailored, high-touch implementation support or a standard, low-touch implementation support to test the primary hypothesis that high-touch support increases Caregivers FIRST penetration, fidelity, and adoption. Additionally, we describe the methods for evaluating the effect of Caregivers FIRST participation on Veteran outcomes using a quasi-experimental design and the methods for a business case analysis to examine cost of delivery differences among sites assigned to a low or high-touch implementation support. METHODS: We use a type III hybrid implementation-effectiveness study design enrolling VA medical centers that do not meet Caregivers FIRST adoption benchmarks following the announcement of the program as mandated within the CSP. Eligible medical centers will be randomized to receive a standard low-touch implementation support based on Replicating Effective Programs (REP) only or to an enhanced REP (high-touch) implementation support consisting of facilitation and tailored technical assistance. Implementation outcomes include penetration (primary), fidelity, and adoption at 12 months. Mixed methods will explore sites' perceptions and experiences of the high-touch intensification strategy. Additional analyses will include a patient-level effectiveness outcome (Veteran days at home and not in an institution) and a business case analysis using staffing and labor cost data. DISCUSSION: This pragmatic trial will lead to the development and refinement of implementation tools to support VA in spreading and sustaining Caregivers FIRST in the most efficient means possible. TRIAL REGISTRATION: This study was registered on April 8, 2022, at ClinicalTrials.gov (identifier NCT05319535).

Effects of Implementation of a Supervised Walking Program in Veterans Affairs Hospitals : A Stepped-Wedge, Cluster Randomized Trial.

BACKGROUND: In trials, hospital walking programs have been shown to improve functional ability after discharge, but little evidence exists about their effectiveness under routine practice conditions. OBJECTIVE: To evaluate the effect of implementation of a supervised walking program known as STRIDE (AssiSTed EaRly MobIlity for HospitalizeD VEterans) on discharge to a skilled-nursing facility (SNF), length of stay (LOS), and inpatient falls. DESIGN: Stepped-wedge, cluster randomized trial. (ClinicalTrials.gov: NCT03300336). SETTING: 8 Veterans Affairs hospitals from 20 August 2017 to 19 August 2019. PATIENTS: Analyses included hospitalizations involving patients aged 60 years or older who were community dwelling and admitted for 2 or more days to a participating medicine ward. INTERVENTION: Hospitals were randomly assigned in 2 stratified blocks to a launch date for STRIDE. All hospitals received implementation support according to the Replicating Effective Programs framework. MEASUREMENTS: The prespecified primary outcomes were discharge to a SNF and hospital LOS, and having 1 or more inpatient falls was exploratory. Generalized linear mixed models were fit to account for clustering of patients within hospitals and included patient-level covariates. RESULTS: Patients in pre-STRIDE time periods (n = 6722) were similar to post-STRIDE time periods (n = 6141). The proportion of patients with any documented walk during a potentially eligible hospitalization ranged from 0.6% to 22.7% per hospital. The estimated rates of discharge to a SNF were 13% pre-STRIDE and 8% post-STRIDE. In adjusted models, odds of discharge to a SNF were lower among eligible patients hospitalized in post-STRIDE time periods (odds ratio [OR], 0.6 [95% CI, 0.5 to 0.8]) compared with pre-STRIDE. Findings were robust to sensitivity analyses. There were no differences in LOS (rate ratio, 1.0 [CI, 0.9 to 1.1]) or having an inpatient fall (OR, 0.8 [CI, 0.5 to 1.1]). LIMITATION: Direct program reach was low. CONCLUSION: Although the reach was limited and variable, hospitalizations occurring during the STRIDE hospital walking program implementation period had lower odds of discharge to a SNF, with no change in hospital LOS or inpatient falls. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs Quality Enhancement Research Initiative (Optimizing Function and Independence QUERI).

Informing a home time measure reflective of quality of life: A data driven investigation of time frames and settings of health care utilization.

OBJECTIVE: To evaluate short- and long-term measures of health care utilization-days in the emergency department (ED), inpatient (IP) care, and rehabilitation in a post-acute care (PAC) facility-to understand how home time (i.e., days alive and not in an acute or PAC setting) corresponds to quality of life (QoL). DATA SOURCES: Survey data on community-residing veterans combined with multipayer administrative data on health care utilization. STUDY DESIGN: VA or Medicare health care utilization, quantified as days of care received in the ED, IP, and PAC in the 6 and 18 months preceding survey completion, were used to predict seven QoL-related measures collected during the survey. Elastic net machine learning was used to construct models, with resulting regression coefficients used to develop a weighted utilization variable. This was then compared with an unweighted count of days with any utilization. PRINCIPAL FINDINGS: In the short term (6 months), PAC utilization emerged as the most salient predictor of decreased QoL, whereas no setting predominated in the long term (18 months). Results varied by outcome and time frame, with some protective effects observed. In the 6-month time frame, each weighted day of utilization was associated with a greater likelihood of activity of daily living deficits (0.5%, 95% CI: 0.1%-0.9%), as was the case with each unweighted day of utilization (0.6%, 95% CI: 0.3%-1.0%). The same was true in the 18-month time frame (for both weighted and unweighted, 0.1%, 95% CI: 0.0%-0.3%). Days of utilization were also significantly associated with greater rates of instrumental ADL deficits and fair/poor health, albeit not consistently across all models. Neither measure outperformed the other in direct comparisons. CONCLUSIONS: These results can provide guidance on how to measure home time using multipayer administrative data. While no setting predominated in the long term, all settings were significant predictors of QoL measures.

Ready, set, go! The role of organizational readiness to predict adoption of a family caregiver training program using the Rogers' diffusion of innovation theory.

BACKGROUND: Caregivers FIRST is an evidence-based program addressing gaps in caregivers' skills. In 2020, the Veterans Health Administration Caregiver Support Program (CSP) nationally endorsed Caregivers FIRST, offering credit in leadership performance plans to encourage all VA medical centers (VAMCs) to implement locally. This study examines the association of organizational readiness with VAMC adoption of Caregivers FIRST. METHODS: In a cohort observational study, we surveyed CSP managers about their facilities' readiness to implement using the Organizational Readiness for Implementing Change (ORIC) instrument and compared change commitment and change efficacy domains among VAMCs "adopters" defined as delivering Caregivers FIRST within 1 year of the national announcement to those that did not ("non-adopters"). Within "adopters," we categorized time to adoption based on Rogers' diffusion of innovation theory including "innovators," "early adopters," "early majority," "late adopters," and "laggards." Organizational readiness and site characteristics (facility complexity, staffing levels, volume of applications for caregiver assistance services) were compared between "adopters," "non-adopters," and between time to adoption subcategories. Separate logistic regression models were used to assess whether ORIC and site characteristics were associated with early adoption among "adopters." RESULTS: Fifty-one of 63 (81%) VAMCs with CSP manager survey respondents adopted Caregivers FIRST during the first year. ORIC change commitment and efficacy were similar for "adopters" and "non-adopters." However, sites that adopted earlier (innovators and early adopters) had higher ORIC change commitment and efficacy scores than the rest of the "adopters." Logistic regression results indicated that higher ORIC change commitment (odds ratio [OR] = 2.57; 95% confidence interval [CI], 1.11-5.95) and ORIC change efficacy (OR = 2.60; 95% CI, 1.12-6.03) scores were associated with increased odds that a VAMC was an early adopter (categorized as an "innovator," "early adopter", or "early majority"). Site-level characteristics were not associated with Caregivers FIRST early adoption. CONCLUSIONS: To our knowledge, this study is the first to prospectively assess organizational readiness and the timing of subsequent program adoption. Early adoption was associated with higher ORIC change commitment and change efficacy and not site-level characteristics. These findings yield insights into the role of organizational readiness to accelerate program adoption. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03474380. Registered on March 22, 2018.

Effect of cognitive processing therapy on markers of cardiovascular risk in posttraumatic stress disorder patients: A randomized clinical trial.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is associated with elevated risk of coronary heart disease (CHD); however, the effects of PTSD treatment on CHD biomarkers is unknown. This study examined whether cognitive processing therapy (CPT) improves 24-hourheart rate variability (HRV), a predictor of CHD mortality. METHODS: Individuals between the ages of 40 and 65 years with PTSD (n = 112) were randomized to receive 12 sessions of CPT or a Waiting List (WL) intervention comprised of 6 weekly telephone checks of emotional status. The primary outcome variable was 24-hour HRV estimated from the standard deviation of all normal R-R intervals (SDNN); secondary outcomes were the root mean square of successive differences between heart beats (RMSSD), low-frequency HRV (LF-HRV) and high-frequency HRV (HF-HRV). Secondary outcomes also included 24-hour urinary catecholamine excretion, plasma C-reactive protein (CRP), and flow-mediated dilation (FMD) of the brachial artery. For outcomes, linear mixed longitudinal models were used to estimate mean differences (Mdiff). RESULTS: Participants randomized to the CPT group did not show improved SDNN (Mdiff = 9.8; 95%CI, -2.7 to 22.3; p = 0.12), the primary outcome variable, but showed improved RMSSD (Mdiff = 3.8; 95% CI, 0.5 to 7.1; p = 0.02), LF- HRV (Mdiff =0.3; 95% CI, 0.1 to 0.5; p = 0.01), and HF-HRV (Mdiff = 0.3; 95% CI, 0.0 to 0.6; p = 0.03) compared to WL. There were no differences between groups in catecholamine excretion, FMD, or inflammatory markers. CONCLUSION: Treating PTSD may not only improve quality of life but may also help ameliorate heightened CHD risk characteristics of PTSD.

Have racial disparities in home dialysis utilization changed over time?

OBJECTIVES: The Medicare end-stage kidney disease (ESKD) prospective payment system (PPS) for maintenance dialysis, implemented in 2011, resulted in modestly increased access to both home-based peritoneal dialysis (PD) and home hemodialysis (HHD) treatment modalities, but it is unclear whether regional disparities in home dialysis (PD and HHD) were affected. We compared regional home dialysis use by White and non-White individuals over time. STUDY DESIGN: Retrospective cohort study of dialysis facilities offering home dialysis in 2006-2016 and of 1,098,579 patients with prevalent ESKD in 2006-2016. METHODS: We compared hospital referral region (HRR) utilization rates of home dialysis between White and non-White patients over time using a generalized estimating equation model with a negative binomial distribution adjusting for regional characteristics. RESULTS: The mean number of facilities offering home dialysis operating in each HRR increased from 15.6 in 2006 to 22.1 in 2016. Observed mean HRR home dialysis rates increased overall, but White patients maintained greater home dialysis use than non-White patients: 19.7% in 2006 and 26.2% in 2016 among White patients vs 13.0% in 2006 and 17.8% in 2016 among non-White patients. In adjusted analysis, there was no evidence of changes in White/non-White disparities in home dialysis use over time (P = .84) or after the Medicare ESKD PPS in 2011 (incidence rate ratio, 0.97; 95% CI, 0.92-1.02; P = .29). CONCLUSIONS: Even after modest increases in dialysis facility availability and patient utilization after the implementation of the Medicare ESKD PPS in 2011, significant racial disparities in home dialysis remain.

Factors Associated With Diabetes Distress Among Patients With Poorly Controlled Type 2 Diabetes.

Objective: Examine factors associated with increased diabetes distress (DD) among patients with type 2 diabetes with DD assessed by Diabetes Distress Scale (DDS) total and subscale scores (emotional burden, physician-related distress, regimen-related distress, and interpersonal distress). Methods: Cross-sectional analysis of data from veterans with persistently poorly controlled diabetes mellitus. Multivariable linear regression models included baseline patient characteristics (independent variables) and DDS total and subscale scores (dependent variable). Results: The cohort's (N = 248) mean age was 58 years (SD 8.3); 21% were female, 79% were non-White, and 5% were Hispanic/Latinx. Mean hemoglobin A1c (HbA1c) was 9.8%, and 37.5% had moderate to high DD. Hispanic/Latinx ethnicity (ß=0.41; 95% CI 0.01, 0.80), baseline HbA1c (0.07; 95% CI 0.01,0.13), and higher Personal Health Questionnaire-8 (PHQ-8) scores (0.07; 95% CI 0.05, 0.09) were associated with higher total DD. Hispanic/Latinx ethnicity (0.79; 95% CI 0.25, 1.34) and higher PHQ-8 (0.05; 95% CI 0.03, 0.08) were associated with higher interpersonal-related distress. Higher HbA1c (0.15; 95% CI 0.06, 0.23) and higher PHQ-8 scores (0.10; 95% CI 0.07, 0.13) were associated with higher regimen-related distress. The use of basal insulin (0.28; 95% CI 0.001, 0.56) and higher PHQ-8 (0.02; 95% CI 0.001, 0.05) were associated with higher physician-related distress. Higher PHQ-8 (0.10; 95% CI 0.07, 0.12) was associated with higher emotional burden. Conclusion: Hispanic/Latinx ethnicity, depressive symptoms, uncontrolled hyperglycemia, and insulin use were associated with higher risk for DD. Future research should explore these relationships, and interventions designed to reduce diabetes distress should consider accounting for these factors.

A Cluster Randomized Trial of a Family Health History Platform to Identify and Manage Patients at Increased Risk for Colorectal Cancer.

BACKGROUND: Obtaining comprehensive family health history (FHH) to inform colorectal cancer (CRC) risk management in primary care settings is challenging. OBJECTIVE: To examine the effectiveness of a patient-facing FHH platform to identify and manage patients at increased CRC risk. DESIGN: Two-site, two-arm, cluster-randomized, implementation-effectiveness trial with primary care providers (PCPs) randomized to immediate intervention versus wait-list control. PARTICIPANTS: PCPs treating patients at least one half-day per week; patients aged 40-64 with no medical conditions that increased CRC risk. INTERVENTIONS: Immediate-arm patients entered their FHH into a web-based platform that provided risk assessment and guideline-driven decision support; wait-list control patients did so 12 months later. MAIN MEASURES: McNemar's test examined differences between the platform and electronic medical record (EMR) in rates of increased risk documentation. General estimating equations using logistic regression models compared arms in risk-concordant provider actions and patient screening test completion. Referral for genetic consultation was analyzed descriptively. KEY RESULTS: Seventeen PCPs were randomized to each arm. Patients (n = 252 immediate, n = 253 control) averaged 51.4 (SD = 7.2) years, with 83% assigned male at birth, 58% White persons, and 33% Black persons. The percentage of patients identified as increased risk for CRC was greater with the platform (9.9%) versus EMR (5.2%), difference = 4.8% (95% CI: 2.6%, 6.9%), p < .0001. There was no difference in PCP risk-concordant action [odds ratio (OR) = 0.7, 95% CI (0.4, 1.2; p = 0.16)]. Among 177 patients with a risk-concordant screening test ordered, there was no difference in test completion, OR = 0.8 [0.5,1.3]; p = 0.36. Of 50 patients identified by the platform as increased risk, 78.6% immediate and 68.2% control patients received a recommendation for genetic consultation, of which only one in each arm had a referral placed. CONCLUSIONS: FHH tools could accurately assess and document the clinical needs of patients at increased risk for CRC. Barriers to acting on those recommendations warrant further exploration. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov NCT02247336 https://clinicaltrials.gov/ct2/show/NCT02247336.