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.

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.

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.

Pharmacogenetic testing in primary care could bolster depression treatment: A value proposition.

Pharmacogenetic testing could reduce the time to identify a safe and effective medication for depression; however, it is underutilized in practice. Major depression constitutes the most common mental disorder in the US, and while antidepressant therapy can help, the current trial -and error approach can require patients to endure multiple medication trials before finding one that is effective. Tailoring the fit of pharmacogenetic testing with prescribers' needs across a variety of settings could help to establish a generalizable value proposition to improve likelihood of adoption. We conducted a study to explore the value proposition for health systems using pharmacogenetic testing for mental health medications through prescribers' real-world experiences using implementation science concepts and systematic interviews with prescribers and administrators from four health care systems. To identify a value proposition, we organized the themes according to the Triple Aim framework, a leading framework for health care policy which asserts that high-value care should focus on three key metrics: (1) better health care quality and (2) population-level outcomes with (3) reduced per capita costs. Primary care providers whom we interviewed said that they value pharmacogenetic testing because it would provide more information about medications that they can prescribe, expanding their ability to identify medications that best-fit patients and reducing their reliance on referrals to specialists; they said that this capacity would help meet patients' needs for access to mental health care through primary care. At the same time, prescribers expressed differing views about how pharmacogenetic testing can help with quality of care and whether their views about out-of-pocket cost would prevent them from offering it. Thus, implementation should focus on integrating pharmacogenetic testing into primary care and using strategies to support prescribers' interactions with patients.

Workforce readiness for pharmacogenomics and key elements for sustainment within the Veterans Health Administration.

Aim: Understanding barriers and facilitators to pharmacogenomics (PGx) implementation and how to structure a clinical program with the Veterans Health Administration (VA). Materials & methods: Healthcare provider (HCP) survey at 20 VA facilities assessing PGx knowledge/acceptance and qualitative interviews to understand how best to design and sustain a national program. Results: 186 (12% response rate) surveyed believed PGx informs drug efficacy (74.7%) and adverse events (71.0%). Low confidence in knowledge (43.0%) and ability to implement (35.4-43.5%). 23 (60.5% response rate) interviewees supported a nationally program to oversee VA education, consultation and IT resources. Prescribing HCPs should be directing local activities. Conclusion: HCPs recognize PGx value but are not prepared to implement. Healthcare systems should build system-wide programs for implementation education and support.

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 ).

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).

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.

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.

Patient experiences of a care transition intervention for Veterans to reduce emergency department visits.

OBJECTIVES: Care transition interventions (CTIs) are used to improve outcomes after an emergency department (ED) visit. A recent randomized controlled trial of a Veterans Health Administration (VHA) CTI titled Discharge Information and Support for Patients receiving Outpatient care in the ED (DISPO ED) demonstrated no difference in repeat ED visits. However, changes in health care utilization are not the only measures of a CTI worth evaluation, and there is interest in using patient-centered outcomes to assess CTIs as well. To inform future CTI design and outcome measure selection, the study aims were to understand how patients experienced the CTI and what elements they valued. METHODS: This was a qualitative study of participants randomized to the intervention arm of the DISPO ED trial using semistructured interviews. The interview guide included questions about clinical health and other issues addressed by the study nurse, the most and least helpful aspects of the intervention, and impacts of the intervention on their perceptions of self-management. Interviews were analyzed using directed content analysis. RESULTS: Our sample comprised 24 participants, with average age of 61 years, 58% male, and 50% Black or African American. We identified six major themes related to (1) experiences during the intervention and (2) elements they valued. Patients reported clinical health coaching recommendations covering a wide range of topics as well as care coordination actions such as appointment scheduling. Valuable elements of the intervention highlighted personal characteristics of the study nurse that promoted a sense of interpersonal connection and empathy in their interactions. CONCLUSIONS: Intervention users described assistance with care coordination as well as clinical concerns. We identified aspects that were highly valued by the participants, such as interpersonal support and empathy from the interventionist. These findings suggest the need for more comprehensive nonutilization outcome measures for CTIs to capture the patient's perspective.

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.

Determinants of inter-organizational implementation success: A mixed-methods evaluation of Veteran Directed Care.

BACKGROUND: Veteran Directed Care (VDC) aims to keep Veterans at risk for nursing home placement in their communities. VA medical centers (VAMCs) purchase VDC from third-party organizational providers who then partner with them during implementation. Experiences with VDC implementation have varied. OBJECTIVES: We sought to identify conditions differentiating partnerships with higher enrollment (implementation success). METHODS: We conducted a case-based study with: qualitative data on implementation determinants two and eight months after program start, directed content analysis to assign numerical scores (-2 strong barrier to +2 strong facilitator), and mathematical modeling using Coincidence Analysis (CNA) to identify key determinants of implementation success. Cases consisted of VAMCs and partnering non-VAMC organizations who started VDC during 2017 or 2018. The Consolidated Framework for Implementation Research (CFIR) guided analysis. RESULTS: Eleven individual organizations within five partnerships constituted our sample. Two CFIR determinants- Networks & Communication and External Change Agent-uniquely and consistently identified implementation success. At an inter-organizational partnership level, Networks & Communications and External Change Agent +2 (i.e., present as strong facilitators) were both necessary and sufficient. At a within-organization level, Networks & Communication +2 was necessary but not sufficient for the non-VAMC providers, whereas External Change Agent +2 was necessary and sufficient for VAMCs. CONCLUSION: Networks & Communication and External Change Agent played difference-making roles in inter-organizational implementation success, which differ by type of organization and level of analysis. IMPLICATIONS: This multi-level approach identified crucial difference-making conditions for inter-organizational implementation success when putting a program into practice requires partnerships across multiple organizations.

A Mixed-Methods Protocol to Identify Best Practices for Implementing Pharmacogenetic Testing in Clinical Settings.

Using a patient's genetic information to inform medication prescriptions can be clinically effective; however, the practice has not been widely implemented. Health systems need guidance on how to engage with providers to improve pharmacogenetic test utilization. Approaches from the field of implementation science may shed light on the complex factors affecting pharmacogenetic test use in real-world settings and areas to target to improve utilization. This paper presents an approach to studying the application of precision medicine that utilizes mixed qualitative and quantitative methods and implementation science frameworks to understand which factors or combinations consistently account for high versus low utilization of pharmocogenetic testing. This approach involves two phases: (1) collection of qualitative and quantitative data from providers-the cases-at four clinical institutions about their experiences with, and utilization of, pharmacogenetic testing to identify salient factors; and (2) analysis using a Configurational Comparative Method (CCM), using a mathematical algorithm to identify the minimally necessary and sufficient factors that distinguish providers who have higher utilization from those with low utilization. Advantages of this approach are that it can be used for small to moderate sample sizes, and it accounts for conditions found in real-world settings by demonstrating how they coincide to affect utilization.

COVID-19 vaccination intention and activation among health care system employees: A mixed methods study.

BACKGROUND: Achieving high COVID-19 vaccination rates among employees is necessary to prevent outbreaks in health care settings. The goal of the study was to produce actionable and timely evidence about factors underlying the intention and decisions to obtain the COVID-19 vaccine by employees. METHODS: The study was conducted from December 2020 - May 2021 with employees from a VA health care system in Southeastern US. The study used a convergent mixed methods design comprising two main activities: a cross-sectional survey conducted prior to COVID-19 vaccine distribution, and semi-structured interviews conducted 4-6 months after vaccine distribution. Data were collected about participant characteristics, vaccination intention prior to distribution, vaccination decision post-distribution, determinants of vaccination intention and decision, activating factors, sources of information and intervention needs. Data from the survey and interviews were analyzed separately and integrated narratively in the discussion. RESULTS: Prior to vaccine distribution, 77% of employees wanted to be vaccinated. Post vaccine distribution, we identified 5 distinct decision-making groups: 1) vaccine believers who actively sought vaccination and included those sometimes described as "immunization advocates", 2) go along to get along (GATGA) individuals who got vaccinated but did not actively seek it, 3) cautious acceptors who got the COVID-19 vaccine after some delay, 4) fence sitters who remained uncertain about getting vaccinated, and 5) vaccine refusers who actively rejected the COVID-19 vaccine. Participants identifying with Black or multiple races were more likely to express hesitancy in their vaccination intention. CONCLUSION: The findings of our study highlight distinct decision-making profiles associated with COVID-19 vaccination among employees of a VA health care system, and provide tailored recommendations to reduce vaccine hesitancy in this population.

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."

Strategies to Integrate Genomic Medicine into Clinical Care: Evidence from the IGNITE Network.

The complexity of genomic medicine can be streamlined by implementing some form of clinical decision support (CDS) to guide clinicians in how to use and interpret personalized data; however, it is not yet clear which strategies are best suited for this purpose. In this study, we used implementation science to identify common strategies for applying provider-based CDS interventions across six genomic medicine clinical research projects funded by an NIH consortium. Each project's strategies were elicited via a structured survey derived from a typology of implementation strategies, the Expert Recommendations for Implementing Change (ERIC), and follow-up interviews guided by both implementation strategy reporting criteria and a planning framework, RE-AIM, to obtain more detail about implementation strategies and desired outcomes. We found that, on average, the three pharmacogenomics implementation projects used more strategies than the disease-focused projects. Overall, projects had four implementation strategies in common; however, operationalization of each differed in accordance with each study's implementation outcomes. These four common strategies may be important for precision medicine program implementation, and pharmacogenomics may require more integration into clinical care. Understanding how and why these strategies were successfully employed could be useful for others implementing genomic or precision medicine programs in different contexts.

Family Caregiver and Provider Perspectives on Inclusive Care: Aligning Needs and Expectations.

BACKGROUND: Home-based and community-based health care for individuals with complex medical conditions is often provided by family caregivers. Yet caregivers often are not meaningfully included in interactions with clinical health care teams. Inclusive care means inviting the caregiver to participate in shared decision-making and treatment planning. For aging or medically vulnerable adults, caregiver inclusion is an important facet of patient-centered care. METHODS: We apply a mixed-methods approach using a survey (n=50) and semistructured interview data (n=13) from a national sample of caregivers of veterans and semistructured interview data from (n=24) providers from 3 Veterans Affairs regional networks. We elicited data from caregivers about their experiences with inclusive care and how providers communicate with them and assess their capacity. We juxtaposed these data with provider perspectives to see where there was alignment. FINDINGS: We determined that caregivers play important roles in trust-building, communications management, implementation of care plans at home or in the community, and improving the care of care recipients-while maintaining a balance between competing tensions. CONCLUSIONS: Our findings suggest that expanding inclusive care could improve care quality and health outcomes of individuals with complex health care needs. Further, our findings bolster recent policy efforts at the federal and state levels to increase recognition of caregivers as key members of the health care team.

Inclusion of Caregivers in Veterans' Care: A Critical Literature Review.

More direct inclusion of informal caregivers (i.e., family, friends) in patients' care will make care more patient- and family-centered and has the potential to improve overall quality of care for patients. We need to understand what potentially comprises "inclusive care" so that we can define what "inclusive care" is and develop targets for care quality metrics. We conducted a critical literature review to identify key components of "caregiver inclusion." Focusing on extant literature from 2005 to 2017, 35 papers met inclusion criteria. Directed content analysis with constant comparison was used to identify major themes related to a concept of "inclusive care." Our analysis indicates that "inclusive care" entails five components: clear definition of caregiver role, system level policies for inclusion, explicit involvement of caregiver, provider assessment of caregiver capability, and mutuality in caregiver-provider communication. We discuss the evidence behind these five components using the Donabedian health care quality conceptual model.