Adapting to CONNECT: modifying a nursing home-based team-building intervention to improve hospital care team interactions, functioning, and implementation readiness.

BACKGROUND: Clinical interventions often need to be adapted from their original design when they are applied to new settings. There is a growing literature describing frameworks and approaches to deploying and documenting adaptations of evidence-based practices in healthcare. Still, intervention modifications are often limited in detail and justification, which may prevent rigorous evaluation of interventions and intervention adaptation effectiveness in new contexts. We describe our approach in a case study, combining two complementary intervention adaptation frameworks to modify CONNECT for Quality, a provider-facing team building and communication intervention designed to facilitate implementation of a new clinical program. METHODS: This process of intervention adaptation involved the use of the Planned Adaptation Framework and the Framework for Reporting Adaptations and Modifications, for systematically identifying key drivers, core and non-core components of interventions for documenting planned and unplanned changes to intervention design. RESULTS: The CONNECT intervention's original context and setting is first described and then compared with its new application. This lays the groundwork for the intentional modifications to intervention design, which are developed before intervention delivery to participating providers. The unpredictable nature of implementation in real-world practice required unplanned adaptations, which were also considered and documented. Attendance and participation rates were examined and qualitative assessment of reported participant experience supported the feasibility and acceptability of adaptations of the original CONNECT intervention in a new clinical context. CONCLUSION: This approach may serve as a useful guide for intervention implementation efforts applied in diverse clinical contexts and subsequent evaluations of intervention effectiveness. TRIAL REGISTRATION: The study was registered at ClinicalTrials.gov ( NCT03300336 ) on September 28, 2017.

Use of motivational techniques to enhance unpaid caregiver engagement in a tailored skills training intervention.

OBJECTIVES: The Helping Invested Families Improve Veterans' Experiences Study (HI-FIVES) evaluated a skills training program to support family caregivers of cognitively or functionally impaired persons. HI-FIVES demonstrated sustained improvements in caregivers' and patients' experiences of VA care. The aim of this distinct, secondary qualitative study was to explore the potential processes related to the individual tailored skills-based telephone training underpinning HI-FIVES intervention effects. We explored topics caregivers selected, characteristics of action items created, patterns of action or inaction, and barriers to action item completion across topics. METHODS: Qualitative data was analysed from 118 dyads randomized into the HI-FIVES intervention which included three weekly facilitated training calls covering five education topics and action items developed by caregivers for each topic. Qualitative analysis of text responses to questions from the training calls was used. RESULTS: Three of the top four most selected topics were caregiver-oriented and caregivers created an action item most often for self-care topics. Caregiver-oriented topics also had the highest action item completion rates. The majority of action items created met SMART guidelines for goal setting and simple structure. With regard to barriers to action item completion, caregivers commonly reported still contemplating/pending. CONCLUSION: Our findings identify motivational interviewing as an effective technique to identify critical intervention content and address barriers to achieving caregiving goals. We suggest that caregivers felt more empowered to create and complete an action item when they had more control over completing the action item, such as in topics related to their own self-care.

Adaptation and Implementation of a Family Caregiver Skills Training Program: From Single Site RCT to Multisite Pragmatic Intervention.

PURPOSE: We describe an approach to rapidly adapt and implement an education and skills improvement intervention to address the needs of family caregivers of functionally impaired veterans-Helping Invested Families Improve Veterans' Experience Study (HI-FIVES). DESIGN: Prior to implementation in eight sites, a multidisciplinary study team made systematic adaptations to the curriculum content and delivery process using input from the original randomized controlled trial (RCT); a stakeholder advisory board comprised of national experts in caregiver education, nursing, and implementation; and a veteran/caregiver engagement panel. To address site-specific implementation barriers in diverse settings, we applied the Replicating Effective Programs implementation framework. FINDINGS: Adaptations to HI-FIVES content and delivery included identifying core/noncore curriculum components, reducing instruction time, and simplifying caregiver recruitment for clinical settings. To enhance curriculum flexibility and potential uptake, site personnel were able to choose which staff would deliver the intervention and whether to offer class sessions in person or remotely. Curriculum materials were standardized and packaged to reduce the time required for implementation and to promote fidelity to the intervention. CONCLUSIONS: The emphasis on flexible intervention delivery and standardized materials has been identified as strengths of the adaptation process. Two key challenges have been identifying feasible impact measures and reaching eligible caregivers for intervention recruitment. CLINICAL RELEVANCE: This systematic implementation process can be used to rapidly adapt an intervention to diverse clinical sites and contexts. Nursing professionals play a significant role in educating and supporting caregivers and care recipients and can take a leading role to implement interventions that address skills and unmet needs for caregivers.

Applying Data Analytics to Address Social Determinants of Health in Practice.

As public health and health care increase focus toward addressing social determinants of health (SDH), the growth of data and analytics affords new, impactful tools for data-informed community health improvement. Best practices should be established for responsible use, meaningful interpretation, and actionable implementation of SDH data for community health improvement.

Scaling Up and Tailoring the "Putting Public Health in Action" Training Curriculum.

Despite access to a growing menu of evidence-based interventions, public health practitioners continue to underuse them, in part because practitioners may require new knowledge, skills, and resources to do so. Numerous foundations, universities, governmental agencies, and consultants are providing trainings to address the gaps in practitioners' capacity. To most significantly affect population health, these trainings need to reach practitioners who may have limited access to on-site trainings. Despite the number of organizations offering trainings, little is known about how to scale up trainings to efficiently extend their reach or how to tailor trainings to the needs of different intervention. The Cancer Prevention and Control Research Network and its collaborating centers have developed a training curriculum and delivered it in both in-person and distance formats to a range of audiences. The purpose of this article is to describe the training curriculum and findings from the Network's evaluation of approaches used to scale up delivery of the "Putting Public Health Evidence in Action" curriculum and tailor content for specific evidence-based interventions.

Community health needs assessment in Wake County, North Carolina: partnership of public health, hospitals, academia, and other stakeholders.

BACKGROUND: Hospitals and other health care agencies are required to conduct a community health needs assessment (CHNA) every 3 years to obtain information about the health needs and concerns of the population. In 2013, to avoid duplication of efforts and to achieve a more comprehensive CHNA, Wake County Human Services, WakeMed Health and Hospitals, Duke Raleigh Hospital, Rex Healthcare, Wake Health Services, United Way of the Greater Triangle, and the North Carolina Institute for Public Health partnered to conduct a joint assessment for Wake County. METHODS: Information was collected from the community through opinion surveys and focus groups. To understand the social, economic, and health status of Wake County residents, statistics were also collected from state, county, and local sources. Analysis of all data sources allowed 9 areas of community concern to be identified. Five community forums were held simultaneously at locations in east, south, west, north, and central Wake County to inform residents about the main findings of the assessment and to prioritize the 9 areas of concern. RESULTS: The top 3 priority areas identified were poverty and unemployment, health care access and utilization, and mental health and substance use. LIMITATIONS: Results may not be generalizable to counties in North Carolina that are more rural or to counties outside North Carolina. CONCLUSIONS: The success of this unique collaborative process provides further opportunity for the project partners and other organizations to coordinate action plans, pool resources, and jointly address the priorities of this assessment over the next 3 years.

Is more care recipient time at home also a family caregiver-centered quality of life measure?

BACKGROUND: Time in healthcare facilities is associated with worse patient quality of life (QoL); however, impact on family caregiver QoL is unknown. We evaluate care recipient days not at home-days in the emergency department (ED), inpatient (IP) care, and post-acute care (PAC)-to understand how care recipient days not at home correspond to family caregiver QoL. METHODS: Secondary data were linked to care recipient utilization data. Elastic net machine learning models were used to evaluate the impact of a single day of utilization in each setting on binary QoL outcomes. We also compared composite weighted and unweighted "days not at home" variables. Two time periods, 6 and 18 months, were used to predict three caregiver QoL measures (self-rated health, depressive symptoms, and subjective burden). RESULTS: In the 6-month timeframe, a single day of ED utilization was associated with increased likelihood of poor QoL for all three assessed outcomes (range: 1.4%-3.2%). A day of PAC was associated to a modest degree with increased likelihood of caregiver burden (0.2%) and depressive symptoms (0.1%), with a slight protective effect for self-rated health (-0.1%). An IP day had a slight protective effect (-0.2 to -0.1%). At 18 months, ED and IP had similar, albeit more muted, relationships with caregiver burden and depressive symptoms. PAC had a slight protective effect for caregiver burden (-0.1%). Cumulative days in all settings combined generally was not associated with caregiver QoL. CONCLUSION: Whereas total care recipient time away from home had some negative spillovers to family caregivers, the countervailing effects of unique settings on caregiver QoL may mask net QoL effects. This finding limits the utility of a single care recipient home time measure as a valid caregiver-centered measure. Considering cumulative care recipient time in individual settings separately may be needed to reveal the true net effects on caregiver QoL.

The business case for hospital mobility programs in the veterans health care system: Results from multi-hospital implementation of the STRIDE program.

OBJECTIVE: To conduct a business case analysis for Department of Veterans Affairs (VA) program STRIDE (ASsisTed EaRly MobIlization for hospitalizeD older VEterans), which was designed to address immobility for hospitalized older adults. DATA SOURCES AND STUDY SETTING: This was a secondary analysis of primary data from a VA 8-hospital implementation trial conducted by the Function and Independence Quality Enhancement Research Initiative (QUERI). In partnership with VA operational partners, we estimated resources needed for program delivery in and out of the VA as well as national implementation facilitation in the VA. A scenario analysis using wage data from the Bureau of Labor Statistics informs implementation decisions outside the VA. STUDY DESIGN: This budget impact analysis compared delivery and implementation costs for two implementation strategies (Replicating Effective Programs [REP]+CONNECT and REP-only). To simulate national budget scenarios for implementation, we estimated the number of eligible hospitalizations nationally and varied key parameters (e.g., enrollment rates) to evaluate the impact of uncertainty. DATA COLLECTION: Personnel time and implementation outcomes were collected from hospitals (2017-2019). Hospital average daily census and wage data were estimated as of 2022 to improve relevance to future implementation. PRINCIPAL FINDINGS: Average implementation costs were $9450 for REP+CONNECT and $5622 for REP-only; average program delivery costs were less than $30 per participant in both VA and non-VA hospital settings. Number of walks had the most impact on delivery costs and ranged from 1 to 5 walks per participant. In sensitivity analyses, cost increased to $35 per participant if a physical therapist assistant conducts the walks. Among study hospitals, mean enrollment rates were higher among the REP+CONNECT hospitals (12%) than the REP-only hospitals (4%) and VA implementation costs ranged from $66 to $100 per enrolled. CONCLUSIONS: STRIDE is a low-cost intervention, and program participation has the biggest impact on the resources needed for delivering STRIDE. TRIAL REGISTRATION: ClinicalsTrials.gov NCT03300336. Prospectively registered on 3 October 2017.

"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.

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.

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.

Intensification of Implementation Strategies: Developing a Model of Foundational and Enhanced Implementation Approaches to Support National Adoption and Scale-up.

Implementation strategies are activities to support integration of evidence-based programs (EBPs) into routine care. Comprised of 170+ facilities, the Veterans Affairs Healthcare System is conducive to evaluating feasibility and scalability of implementation strategies on a national level. In previous work evaluating implementation of three EBPs for older Veterans (hospital-based walking, caregiver skills training, group physical therapy), we found facilities varied in their need for implementation support, with some needing minimal guidance and others requiring intensive support. Committed to national scalability, our team developed an implementation intensification model consisting of foundational (low-touch) and enhanced (high-touch) implementation support. This Forum article describes our multilevel and multistep process to develop and evaluate implementation intensification. Steps included (a) review completed trial data; (b) conduct listening sessions; (c) review literature; (d) draft foundational and enhanced implementation support packages; (e) iteratively refine packages; and (7) devise an evaluation plan. Our model of implementation intensification may be relevant to other health care systems seeking strategies that can adapt to diverse delivery settings, optimize resources, help build capacity, and ultimately enhance implementation outcomes. As more health care systems focus on spread of EBPs into routine care, identifying scalable and effective implementation strategies will be critical.

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).

Racial inequality in functional trajectories between Black and White U.S. veterans.

BACKGROUND: Racial inequality in functional trajectories has been well documented in the U.S. civilian population but has not been explored among Veterans. Our objectives were to: (1) assess how functional trajectories differed for Black and White Veterans aged ≥50 and (2) explore how socioeconomic, psychosocial, and health-related factors altered the relationship between race and function. METHODS: We conducted a prospective, longitudinal analysis using the 2006-2016 Health and Retirement Study. The study cohort included 3700 Veterans who self-identified as Black or White, responded to baseline psychosocial questionnaires, and were community-dwelling on first observation. We used stepwise and stratified linear mixed effects models of biannually assessed functional limitations. The outcome measure was as a count of functional limitations. Race was measured as respondent self-identification as Black or White. Demographic measures included gender and age. Socioeconomic resources included partnership status, education, income, and wealth. Psychosocial stressors included exposure to day-to-day and major discrimination, traumatic life events, stressful life events, and financial strain. Health measures included chronic and mental health diagnoses, smoking, rurality, and use of Veterans Affairs services. RESULTS: Black Veterans developed functional limitations at earlier ages and experienced faster functional decline than White Veterans between the ages of 50 and 70, with convergence occurring at age 85. Once we accounted for economic resources and psychosocial stressors in multivariable analyses, the association between race and the number of functional limitations was no longer statistically significant. Lower wealth, greater financial strain, and traumatic life events were significantly associated with functional decline. CONCLUSIONS: Health systems should consider how to track Veterans' function earlier in the life course to ensure that Black Veterans are able to get timely access to services that may slow premature functional decline. Providers may benefit from training about the role of economic resources and psychosocial stressors in physical health outcomes.

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.

Mandated Caregiver Training in the Veterans Health Administration: Caregiver Inquiry Informs National Dissemination.

BACKGROUND AND OBJECTIVES: A minority of family caregivers receive training, with implications for their own and their recipient's outcomes. Federal policy has supported the implementation and expansion of caregiver training and support. The Department of Veterans Affairs (VA) has developed a national Caregiver Support Program and collaborated with VA health services researchers to explore caregivers' acceptance of an evidence-based training program in preparation for system-wide dissemination. RESEARCH DESIGN AND METHODS: This approach entailed a convergent mixed-methods design, which involved separate analyses of quantitative and qualitative data. Survey questions based on the Kirkpatrick model for training evaluation measured caregivers' reaction and learning, and interview questions elicited caregivers' reports about the value of the program for them. RESULTS: Most caregivers reported satisfaction with the training when responding to survey questions, although qualitative interviews revealed caveats suggesting need to hone the best timing and specific group of caregivers for maximal benefit. DISCUSSION AND IMPLICATIONS: Our findings indicate that understanding program-user fit may be particularly critical when implementing training for caregivers as they come to the program at different points along their caregiving journey, needing differing types and intensities of support. While a general program may appeal to policymakers aiming to scale caregiver training within a large, heterogeneous system, there may be shortcomings in terms of end-user acceptance and subsequent downstream outcomes such as reach and ultimately program effectiveness. Good, iterative communication flow between program developers and policymakers facilitates this understanding and, in turn, decisions about scaling.

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.

Identifying Family and Unpaid Caregivers in Electronic Health Records: Descriptive Analysis.

BACKGROUND: Most efforts to identify caregivers for research use passive approaches such as self-nomination. We describe an approach in which electronic health records (EHRs) can help identify, recruit, and increase diverse representations of family and other unpaid caregivers. OBJECTIVE: Few health systems have implemented systematic processes for identifying caregivers. This study aimed to develop and evaluate an EHR-driven process for identifying veterans likely to have unpaid caregivers in a caregiver survey study. We additionally examined whether there were EHR-derived veteran characteristics associated with veterans having unpaid caregivers. METHODS: We selected EHR home- and community-based referrals suggestive of veterans' need for supportive care from friends or family. We identified veterans with these referrals across the 8 US Department of Veteran Affairs medical centers enrolled in our study. Phone calls to a subset of these veterans confirmed whether they had a caregiver, specifically an unpaid caregiver. We calculated the screening contact rate for unpaid caregivers of veterans using attempted phone screening and for those who completed phone screening. The veteran characteristics from the EHR were compared across referral and screening groups using descriptive statistics, and logistic regression was used to compare the likelihood of having an unpaid caregiver among veterans who completed phone screening. RESULTS: During the study period, our EHR-driven process identified 12,212 veterans with home- and community-based referrals; 2134 (17.47%) veteran households were called for phone screening. Among the 2134 veterans called, 1367 (64.06%) answered the call, and 813 (38.1%) veterans had a caregiver based on self-report of the veteran, their caregiver, or another person in the household. The unpaid caregiver identification rate was 38.1% and 59.5% among those with an attempted phone screening and completed phone screening, respectively. Veterans had increased odds of having an unpaid caregiver if they were married (adjusted odds ratio [OR] 2.69, 95% CI 1.68-4.34), had respite care (adjusted OR 2.17, 95% CI 1.41-3.41), or had adult day health care (adjusted OR 3.69, 95% CI 1.60-10.00). Veterans with a dementia diagnosis (adjusted OR 1.37, 95% CI 1.00-1.89) or veteran-directed care referral (adjusted OR 1.95, 95% CI 0.97-4.20) were also suggestive of an association with having an unpaid caregiver. CONCLUSIONS: The EHR-driven process to identify veterans likely to have unpaid caregivers is systematic and resource intensive. Approximately 60% (813/1367) of veterans who were successfully screened had unpaid caregivers. In the absence of discrete fields in the EHR, our EHR-driven process can be used to identify unpaid caregivers; however, incorporating caregiver identification fields into the EHR would support a more efficient and systematic identification of caregivers. TRIAL REGISTRATION: ClincalTrials.gov NCT03474380; https://clinicaltrials.gov/ct2/show/NCT03474380.

Developing a person-centered, population based measure of "home time": Perspectives of older patients and unpaid caregivers.

Measuring "home time," number of days not in facility-based care, with medical claims is a promising approach to assess person-centered outcomes on a population level. Generally, spending more time at home matches long-term care preferences and improves quality of life. However, existing "home time" measures have not incorporated key stakeholder perspectives. We sought to understand how patients and family caregivers value time spent in diverse facility-based health care settings (Emergency Department, Nursing Home, Post-Acute Care/Skilled Nursing, Inpatient Hospital) to help determine whether various settings have different effects on quality of life and thus merit different weighting in a "home time" measure. We conducted three focus groups among patients and family caregivers within the U.S. Veterans Health Care System. We identified themes pertaining to patients' quality of life in each of the four facility-based care settings. Discussions about both emergency department and post-acute/skilled nursing care reflected loss of personal control, counterbalanced by temporary stay. Inpatient hospital care evoked discussion about greater loss of personal control due to the intensity of care. Nursing homes ultimately signified decline. These findings illuminate differences in quality of life across health-care settings and help justify the need for different weights in a measure of "home time."