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.

Correction: Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network's Common Measures Working Group.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Qualitative study of system-level factors related to genomic implementation.

PURPOSE: Research on genomic medicine integration has focused on applications at the individual level, with less attention paid to implementation within clinical settings. Therefore, we conducted a qualitative study using the Consolidated Framework for Implementation Research (CFIR) to identify system-level factors that played a role in implementation of genomic medicine within Implementing GeNomics In PracTicE (IGNITE) Network projects. METHODS: Up to four study personnel, including principal investigators and study coordinators from each of six IGNITE projects, were interviewed using a semistructured interview guide that asked interviewees to describe study site(s), progress at each site, and factors facilitating or impeding project implementation. Interviews were coded following CFIR inner-setting constructs. RESULTS: Key barriers included (1) limitations in integrating genomic data and clinical decision support tools into electronic health records, (2) physician reluctance toward genomic research participation and clinical implementation due to a limited evidence base, (3) inadequate reimbursement for genomic medicine, (4) communication among and between investigators and clinicians, and (5) lack of clinical and leadership engagement. CONCLUSION: Implementation of genomic medicine is hindered by several system-level barriers to both research and practice. Addressing these barriers may serve as important facilitators for studying and implementing genomics in practice.

Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network's Common Measures Working Group.

PurposeImplementation research provides a structure for evaluating the clinical integration of genomic medicine interventions. This paper describes the Implementing Genomics in Practice (IGNITE) Network's efforts to promote (i) a broader understanding of genomic medicine implementation research and (ii) the sharing of knowledge generated in the network.MethodsTo facilitate this goal, the IGNITE Network Common Measures Working Group (CMG) members adopted the Consolidated Framework for Implementation Research (CFIR) to guide its approach to identifying constructs and measures relevant to evaluating genomic medicine as a whole, standardizing data collection across projects, and combining data in a centralized resource for cross-network analyses.ResultsCMG identified 10 high-priority CFIR constructs as important for genomic medicine. Of those, eight did not have standardized measurement instruments. Therefore, we developed four survey tools to address this gap. In addition, we identified seven high-priority constructs related to patients, families, and communities that did not map to CFIR constructs. Both sets of constructs were combined to create a draft genomic medicine implementation model.ConclusionWe developed processes to identify constructs deemed valuable for genomic medicine implementation and codified them in a model. These resources are freely available to facilitate knowledge generation and sharing across the field.

Interventions That Support or Involve Caregivers or Families of Patients with Traumatic Injury: a Systematic Review.

BACKGROUND: Almost 40 million family caregivers care for a loved one with severe physical or cognitive impairments. The purpose of this review is to summarize evidence about the benefits of interventions to support or involve family members/caregivers of patients with trauma-related injury on caregiver, patient, and household outcomes. METHODS: English-language peer-reviewed publications in MEDLINE, CINAHL, and PsycINFO from 1995 through December 2016 were identified. Eligible studies included RCT or quasi-experimental studies evaluating interventions designed to support or involve caregivers or family members of patients with TBI, PTSD, or polytrauma. Abstractions were completed by one reviewer and checked by a second; two reviewers independently assessed risk of bias using the Cochrane Effective Practice and Organization of Care Review Criteria. RESULTS: Thirteen studies (n = 9 TBI; n = 4 PTSD, n = 0 polytrauma) evaluated psychological or rehabilitation interventions involving caregivers. Interventions did not improve TBI patients' functional status (standardized mean difference [SMD], 0.29 [95% confidence interval [CI], - 0.51 to 1.08]) or psychological symptoms (SMD - 0.25, CI - 0.62 to 0.12). Qualitative analysis shows potential intervention benefit for TBI symptoms. Interventions did not improve TBI caregiver psychological symptoms (SMD - 0.26, CI - 0.57 to 0.05); however, qualitative analysis suggests mixed effects for caregiver burden and quality of life. Positive intervention effects on patients' PTSD symptoms, mental health service use, and PTSD caregivers' psychological symptoms were identified with certain interventions. Strength of evidence ranged from moderate to very low. DISCUSSION: Studies showed mixed patterns of intervention effects on caregiver and patient outcomes; evidence about intervention impact is inconclusive. This review is the first to identify caregiving interventions for patients with TBI and polytrauma and extends past reviews about patients with PTSD. Limitations include a small evidence base, low study quality, disparate methods, varied outcome measures, and high heterogeneity. PROSPERO Registration CRD42017053516.

Implementation of new clinical programs in the VHA healthcare system: the importance of early collaboration between clinical leadership and research.

Collaboration between policy, research, and clinical partners is crucial to achieving proven quality care. The Veterans Health Administration has expended great efforts towards fostering such collaborations. Through this, we have learned that an ideal collaboration involves partnership from the very beginning of a new clinical program, so that the program is designed in a way that ensures quality, validity, and puts into place the infrastructure necessary for a reliable evaluation. This paper will give an example of one such project, the Lung Cancer Screening Demonstration Project (LCSDP). We will outline the ways that clinical, policy, and research partners collaborated in design, planning, and implementation in order to create a sustainable model that could be rigorously evaluated for efficacy and fidelity. We will describe the use of the Donabedian quality matrix to determine the necessary characteristics of a quality program and the importance of the linkage with engineering, information technology, and clinical paradigms to connect the development of an on-the-ground clinical program with the evaluation goal of a learning healthcare organization. While the LCSDP is the example given here, these partnerships and suggestions are salient to any healthcare organization seeking to implement new scientifically proven care in a useful and reliable way.

Scheduled telephone visits in the veterans health administration patient-centered medical home.

BACKGROUND: The Veterans Health Administration (VHA) patient-centered medical home model, Patient Aligned Care Teams (PACT), includes telephone visits to improve care access and efficiency. Scheduled telephone visits can replace in-person care for some focused issues, and more information is needed to understand how this mode can best work for primary care. We conducted a study at the beginning of PACT implementation to elicit stakeholder views on this mode of healthcare delivery, including potential facilitators and barriers. METHODS: We conducted focus groups with primary care patients (n = 3 groups), providers (n = 2 groups) and staff (n = 2 groups). Questions were informed by Donabedian's framework to evaluate and improve healthcare quality. Content analysis and theme matrix techniques were used to explore themes. Content was assigned a positive or negative valuation to indicate whether it was a facilitator or barrier. PACT principles were used as an organizing framework to present stakeholder responses within the context of the VHA patient-centered medical home program. RESULTS: Scheduled telephone visits could potentially improve care quality and efficiency, but stakeholders were cautious. Themes were identified relating to the following PACT principles: comprehensiveness, patient-centeredness, and continuity of care. In sum, scheduled telephone visits were viewed as potentially beneficial for routine care not requiring physical examination, and patients and providers suggested using them to evaluate need for in-person care; however, visits would need to be individualized, with patients able to discontinue if not satisfied. Patients and staff asserted that providers would need to be kept in the loop for continuity of care. Additionally, providers and staff emphasized needing protected time for these calls. CONCLUSION: These findings inform development of scheduled telephone visits as part of patient-centered medical homes by providing evidence about areas that may be leveraged to most effectively implement this mode of care. Presenting this service as enhanced care, with ability to triage need for in-person clinic visits and consequently provide more frequent contact, may most adequately meet different stakeholder expectations. In this way, scheduled telephone visits may serve as both a substitute for in-person care for certain situations and a supplement to in-person interaction.

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.

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.

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.

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 ).

Differences in osteoarthritis self-management support intervention outcomes according to race and health literacy.

We explored whether the effects of a telephone-based osteoarthritis (OA) self-management support intervention differed by race and health literacy. Participants included 515 veterans with hip and/or knee OA. Linear mixed models assessed differential effects of the intervention compared with health education (HE) and usual care (UC) on pain (Arthritis Impact Measurement Scales-2 [AIMS2] and Visual Analogue Scale), function (AIMS2 mobility and walking/bending), affect (AIMS2) and arthritis self-efficacy by: (i) race (white/non-white), (ii) health literacy (high/low) and (iii) race by health literacy. AIMS2 mobility improved more among non-whites than whites in the intervention compared with HE and UC (P = 0.02 and 0.008). AIMS2 pain improved more among participants with low than high literacy in the intervention compared with HE (P = 0.05). However, we found a differential effect of the intervention on AIMS2 pain compared with UC according to the combination of race and health literacy (P = 0.05); non-whites with low literacy in the intervention had the greatest improvement in pain. This telephone-based OA intervention may be particularly beneficial for patients with OA who are racial/ethnic minorities and have low health literacy. These results warrant further research designed specifically to assess whether this type of intervention can reduce OA disparities.

Differences in effectiveness of the active living every day program for older adults with arthritis.

OBJECTIVE: The authors explored whether demographic and psychosocial variables predicted differences in physical activity for participants with arthritis in a trial of Active Living Every Day (ALED). METHOD: Participants (N = 280) from 17 community sites were randomized into ALED or usual care. The authors assessed participant demographic characteristics, self-efficacy, outcome expectations, pain, fatigue, and depressive symptoms at baseline and physical activity frequency at 20-wk follow-up. They conducted linear regression with interaction terms (Baseline Characteristic × Randomization Group). RESULTS: Being female (p ≤ .05), less depressed (p ≤ .05), or younger (p ≤ .10) was associated with more frequent posttest physical activity for ALED participants than for those with usual care. Higher education was associated with more physical activity for both ALED and usual-care groups. DISCUSSION: ALED was particularly effective for female, younger, and less depressed participants. Further research should determine whether modifications could produce better outcomes in other subgroups.

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.

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).

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.

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.

Participant evaluation of a telephone-based osteoarthritis self-management program, 2006-2009.

INTRODUCTION: Self-management support interventions can help improve osteoarthritis outcomes but are underused. Little is known about how participants evaluate the helpfulness of these programs. We describe participants' evaluations of a telephone-based, osteoarthritis self-management support intervention that yielded improved outcomes in a clinical trial. METHODS: Participants were 140 people in the intervention arm of the trial who completed an end-of-trial survey. We used mixed methods to describe participants' perceived helpfulness of the program and its components. We compared ratings of helpfulness according to participant characteristics and analyzed themes from open-ended responses with a constant comparison approach. We calculated Pearson correlation coefficients between perceived helpfulness and changes in pain, function, affect, and self-efficacy. RESULTS: The average rating of overall helpfulness on a scale from 1 to 10 was 7.6 (standard deviation, 2.3), and more than 80% of participants agreed that each component (phone calls, educational material, setting goals and action plans) was helpful. Participants had better perceived helpfulness ratings than their counterparts if they were nonwhite, had limited health literacy, had no college education, had perceived inadequate income, were older, had a spouse or were living together in a committed relationship, and had greater symptom duration and less pain. Ratings of helpfulness increased with greater improvement in outcomes. Participants frequently mentioned the health educator's calls as being helpful for staying on task with self-management behaviors. CONCLUSION: Participants viewed this intervention and each of its components as helpful for improving osteoarthritis symptoms. In addition to the improvements in objective outcomes seen in the clinical trial, these results provide further support for the dissemination of self-management support interventions.

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.