Changes in Outpatient Health Care Use After COVID-19 Infection Among Veterans.

Importance: The association of COVID-19 infection with outpatient care utilization is unclear. Many studies reported population surveillance studies rather than comparing outpatient health care use between COVID-19-infected and uninfected cohorts. Objective: To compare outpatient health care use across 6 categories of care (primary care, specialty care, surgery care, mental health, emergency care, and diagnostic and/or other care) between veterans with or without COVID-19 infection. Design, Setting, and Participants: In a retrospective cohort study of Veterans Affairs primary care patients, veterans with COVID-19 infection were matched to a cohort of uninfected veterans. Data were obtained from the Veterans Affairs Corporate Data Warehouse and the Centers for Medicare & Medicaid Services Fee-for-Service Carrier/Physician Supplier file from January 2019 through December 2022. Data analysis was performed from September 2022 to April 2023. Exposure: COVID-19 infection. Main Outcomes and Measures: The primary outcome was the count of outpatient visits after COVID-19 infection. Negative binomial regression models compared outpatient use over a 1-year preinfection period, and peri-infection (0-30 days), intermediate (31-183 days), and long-term (184-365 days) postinfection periods. Results: The infected (202 803 veterans; mean [SD] age, 60.5 [16.2] years; 178 624 men [88.1%]) and uninfected (202 803 veterans; mean [SD] age, 60.4 [16.5] years; 178 624 men [88.1%]) cohorts were well matched across all covariates. Outpatient use in all categories (except surgical care) was significantly elevated during the peri-infection period for veterans with COVID-19 infection compared with the uninfected cohort, with an increase in all visits of 5.12 visits per 30 days (95% CI, 5.09-5.16 visits per 30 days), predominantly owing to primary care visits (increase of 1.86 visits per 30 days; 95% CI, 1.85-1.87 visits per 30 days). Differences in outpatient use attenuated over time but remained statistically significantly higher at 184 to 365 days after infection (increase of 0.25 visit per 30 days; 95% CI, 0.23-0.27 visit per 30 days). One-half of the increased outpatient visits were delivered via telehealth. The utilization increase was greatest for veterans aged 85 years and older (6.1 visits, 95% CI, 5.9-6.3 visits) vs those aged 20 to 44 years (4.8 visits, 95% CI, 4.7-4.8 visits) and unvaccinated veterans (4.5 visits, 95% CI, 4.3-4.6 visits) vs vaccinated veterans (3.2 visits; 95% CI, 3.4-4.8 visits). Conclusions and Relevance: This study found that outpatient use increased significantly in the month after infection, then attenuated but remained greater than the uninfected cohorts' use through 12 months, which suggests that there are sustained impacts of COVID-19 infection.

Strategies for enhancing the representation of women in clinical trials: an evidence map.

BACKGROUND: Equitable sex- and gender-based representation in clinical trials is an essential step to ensuring evidence-based care for women. While multi-institutional actions have led to significant improvements in the inclusion of women in trials, inequity persists in areas like sex-neutral cancers and cardiovascular disease. We sought to identify strategies described or evaluated to boost the inclusion of women in clinical trials. METHODS: We used evidence mapping methodology to examine the breadth of relevant literature. We developed an a priori protocol and followed reporting guidance from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis where applicable. We searched MEDLINE® (via PubMed) and EMBASE (via Elsevier) databases from inception through April 4, 2023, and used standardized procedures incorporating duplication and data verification. We included articles that described strategies to improve the recruitment and retention of women in clinical trials. RESULTS: We identified 122 articles describing recruitment and retention strategies for 136 trials (377,595 women). Only one article distinguished between the sex and gender identity of participants, and none defined their use of the terms such as "women" or "female". The majority of articles (95%) described recruitment for only women, and 64% were conducted in the USA. Ninety-two articles (75%) described strategies in the context of sex-specific conditions (e.g., gynecologic diagnosis). The majority of included articles evaluated a behavioral intervention (52%), with 23% evaluating pharmacologic interventions and 4% invasive interventions. The most common trial phase for reported strategies was during outreach to potential participants (116 articles), followed by intervention delivery (76), enrollment (40), outcomes assessment (21), analysis and interpretation (3), and dissemination (4). We describe specific types of strategies within each of these phases. CONCLUSIONS: Most of the existing literature describing strategies to improve the inclusion of women draws from trials for sex-specific conditions and is largely related to outreach to potential participants. There is little information about how and if studies have attempted to proportionally increase the inclusion of women in trials with both men and women or those focused on invasive and pharmacologic interventions. Future work in this area should focus on how to increase the participation of women in mixed-sex studies and on those areas with remaining inequities in trial participation.

Optimizing the Equitable Deployment of Virtual Care for Women: Protocol for a Qualitative Evidence Synthesis Examining Patient and Provider Perspectives Supplemented with Primary Qualitative Data.

Introduction: Women experience numerous barriers to patient-centered health care (e.g., lack of continuity). Such barriers are amplified for women from marginalized communities. Virtual care may improve equitable access. We are conducting a partner-engaged, qualitative evidence synthesis (QES) of patients' and providers' experiences with virtual health care delivery for women. Methods: We use a best-fit framework approach informed by the Non-adoption, Abandonment, Scale-up, Spread, and Sustainability framework and Public Health Critical Race Praxis. We will supplement published literature with qualitative interviews with women from underrepresented communities and their health care providers. We will engage patients and other contributors through multiple participatory methods. Results: Our search identified 5525 articles published from 2010 to 2022. Sixty were eligible, of which 42 focused on women and 24 on provider experiences. Data abstraction and analysis are ongoing. Discussion: This work offers four key innovations to advance health equity: (1) conceptual foundation rooted in an antiracist action-oriented praxis; (2) worked example of centering QES on marginalized communities; (3) supplementing QES with primary qualitative information with populations historically marginalized in the health care system; and (4) participatory approaches that foster longitudinal partnered engagement. Health Equity Implications: Our approach to exploring virtual health care for women demonstrates an antiracist praxis to inform knowledge generation. In doing so, we aim to generate findings that can guide health care systems in the equitable deployment of comprehensive virtual care for women.

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.

Use of high cost care among Veterans with comorbid mental illness and Alzheimer's Disease and related dementias.

INTRODUCTION/OBJECTIVE: Alzheimer's Disease and Other Related Dementias (AD/ADRD) leads to frequent emergency department (ED) and inpatient use. Mental health symptoms among persons with AD/ADRD increases cognitive and functional disabilities and could contribute to these high rates of intensive health care use. The objective of this paper is to assess the relationship of mental illness on 12-month patterns in hospitalization and ED use among Veterans aged 65 and over with a new AD/ADRD diagnosis. METHODS: We used an existing dataset of administrative electronic health record data of Veterans with AD/ADRD from the US Veterans Health Administration linked with Medicare claims data from 2011-2015. We use multivariable logistic regression to examine the association between no pre-existing mental illness, pre-existing mental illness (e.g., major depressive disorder, generalized anxiety disorder, or post-traumatic stress disorder), and pre-existing severe mental illness-or SMI-(e.g., bipolar disorder, major depressive disorder with psychosis, or schizophrenia) and 12- month ED and hospitalization use and readmissions among Veterans who had an initial hospitalization visit. We estimated predicted probabilities, differential effect, and associated 95% confidence intervals. RESULTS: In our sample, 1.4% had SMI and 11% had non-SMI mental illness. The unadjusted percentage with inpatient and ED use was higher among Veterans with SMI (34% and 26%, respectively) and Veterans with non-SMI mental illness (20%, 16%) compared with Veterans without pre-existing mental illness (12%, 9%). Compared to individuals with no pre-existing mental illness, having a pre-existing mental illness (1.27 percentage points, 95% CI: 0.76, 1.78) and a pre-existing SMI (7.17 percentage points, 95% CI: 5.66, 8.69) were both associated with an increased likelihood of ED use. The same pattern was observed for any inpatient use (mental illness 2.18, 95% CI: 1.59, 2.77; SMI 9.91, 95% CI: 8.21, 11.61). Only pre-existing SMI was associated higher hospitalization readmission. DISCUSSION: Pre-existing mental illness increases use of high cost, intensive health care and this association is higher of more severe mental health conditions. We also show that pre-existing mental illness exerts a unique influence, above and beyond other comorbidities, such as diabetes, on ED and inpatient visits. More needs to be done to increase recognition of the unique risks of this combination of health conditions and encourage strategies to address them. Developing, testing, and implementing comprehensive strategies that address the intersection of ADRD and mental illness is promising approach that requires more focused attention.

Prevalence and incidence of depressive symptoms and diagnosis of depression as associated with elevated amyloid among Medicare beneficiaries with cognitive impairment.

BACKGROUND: Depression and cognitive impairment commonly co-occur, and it has been hypothesized that the two share pathological processes. Our objective for this study was to determine the relationship between elevated ß-amyloid level and the prevalence and incidence of depressive symptoms and diagnosed depression over two years among fee-for-service Medicare beneficiaries with cognitive impairment. METHODS: We utilized data from the CARE-IDEAS cohort study (N = 2078) including two measures of depressive symptoms (PHQ-2) and administrative claims data to identify pre-scan and incident depression diagnosis in subsample of fee-for-service Medicare beneficiaries (N = 1443). We used descriptive statistics and Poisson regression models with robust covariance. RESULTS: Beneficiaries whose scan results indicated not-elevated ß-amyloid were significantly more likely to have been diagnosed with depression pre-scan (46.4 % vs. 33.1 %). There was no significant association between elevated amyloid and the incidence of depressive symptoms or diagnosed depression. LIMITATIONS: The sample was limited to Medicare beneficiaries with cognitive impairment. Race/ethnic composition and education levels were not representative of the general population and there was substantial loss to follow-up. Mixed depressive / anxious episodes were captured as diagnoses of depression, potentially overestimating depression in this population. CONCLUSIONS: There was a high prevalence and incidence of diagnosed depression in this cohort of Medicare beneficiaries, but the incidence of depressive symptoms and diagnosed depression was not associated with elevated ß-amyloid.

Continuity of care (COC) and amyloid-ß PET scan: the CARE-IDEAS study.

BACKGROUND: High continuity of care (COC) is associated with better clinical outcomes among older adults. The impact of amyloid-ß PET scan on COC among adults with mild cognitive impairment (MCI) or dementia of uncertain etiology is unknown. METHODS: We linked data from the CARE-IDEAS study, which assessed the impact of amyloid-ß PET scans on outcomes in Medicare beneficiaries with MCI or dementia of uncertain etiology and their care partners, to Medicare claims (2015-2018). We calculated a participant-level COC index using the Bice-Boxerman formula and claims from all ambulatory evaluation and management visits during the year prior to and following the amyloid-ß PET scan. We compared baseline characteristics by scan result (elevated or non-elevated) using standardized differences. To evaluate changes in COC, we used multiple regression models adjusting for sociodemographics, cognitive function, general health status, and the Charlson Comorbidity Index. RESULTS: Among the 1171 cohort members included in our analytic population, the mean age (SD) was 75.2 (5.4) years, 61.5% were male and 93.9% were non-Hispanic white. Over two-thirds (68.1%) had an elevated amyloid-ß PET scan. Mean COC for all patients was 0.154 (SD = 0.102; range = 0-0.73) prior to the scan and 0.158 (SD = 0.105; range = 0-1.0) in the year following the scan. Following the scan, the mean COC index score increased (95% CI) by 0.005 (-0.008, 0.019) points more for elevated relative to not elevated scan recipients, but this change was not statistically significant. There was no association between scan result (elevated vs. not elevated) or any other patient covariates and changes in COC score after the scan. CONCLUSION: COC did not meaningfully change following receipt of amyloid-ß PET scan in a population of Medicare beneficiaries with MCI or dementia of uncertain etiology. Future work examining how care continuity varies across marginalized populations with cognitive impairment is needed.

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.

Association between Gentrification and Health and Healthcare Utilization.

There is tremendous interest in understanding how neighborhoods impact health by linking extant social and environmental drivers of health (SDOH) data with electronic health record (EHR) data. Studies quantifying such associations often use static neighborhood measures. Little research examines the impact of gentrification-a measure of neighborhood change-on the health of long-term neighborhood residents using EHR data, which may have a more generalizable population than traditional approaches. We quantified associations between gentrification and health and healthcare utilization by linking longitudinal socioeconomic data from the American Community Survey with EHR data across two health systems accessed by long-term residents of Durham County, NC, from 2007 to 2017. Census block group-level neighborhoods were eligible to be gentrified if they had low socioeconomic status relative to the county average. Gentrification was defined using socioeconomic data from 2006 to 2010 and 2011-2015, with the Steinmetz-Wood definition. Multivariable logistic and Poisson regression models estimated associations between gentrification and development of health indicators (cardiovascular disease, hypertension, diabetes, obesity, asthma, depression) or healthcare encounters (emergency department [ED], inpatient, or outpatient). Sensitivity analyses examined two alternative gentrification measures. Of the 99 block groups within the city of Durham, 28 were eligible (N = 10,807; median age = 42; 83% Black; 55% female) and 5 gentrified. Individuals in gentrifying neighborhoods had lower odds of obesity (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.81-0.99), higher odds of an ED encounter (OR = 1.10; 95% CI: 1.01-1.20), and lower risk for outpatient encounters (incidence rate ratio = 0.93; 95% CI: 0.87-1.00) compared with non-gentrifying neighborhoods. The association between gentrification and health and healthcare utilization was sensitive to gentrification definition.

Amyloid-ß PET Scan Results Disclosure and Care-Partner Emotional Well-Being Over Time.

BACKGROUND: Diagnostic tests, such as amyloid-ß positron emission tomography (PET) scans, can increase appropriate therapeutic management for the underlying causes of cognitive decline. To evaluate the full utility of this diagnostic tool, information is needed on whether results from amyloid-ß PET scans influence care-partner outcomes. OBJECTIVE: This study examines the extent to which previous disclosure of elevated amyloid (suggestive of Alzheimer's disease (AD) etiology) versus not-elevated amyloid (not suggestive of AD etiology) is associated with changes in care-partner wellbeing. METHODS: The study used data derived from a national longitudinal survey of Medicare beneficiaries (n = 921) with mild cognitive impairment (MCI) or dementia and their care-partners. Care-partner wellbeing outcomes included depressive symptoms (PHQ-8), subjective burden (4-item Zarit burden score), and a 3-item measure of loneliness. Change was measured between 4 (Time 1) and 18 (Time 2) months after receiving the scan results. Adjusted linear regression models regressed change (Time 2-Time 1) in each outcome on scan result. RESULTS: Care-partners were primarily white, non-Hispanic, college-educated, and married to the care recipient. Elevated amyloid was not associated with statistically significant Time 1 differences in outcomes or with statistically significant changes in depressive symptoms 0.22 (-0.18, 0.61), subjective burden 0.36 (-0.01, 0.73), or loneliness 0.15 (-0.01, 0.32) for care-partners from one time point to another. CONCLUSION: Given advances in AD biomarker testing, future research in more diverse samples is needed to understand the influence of scan results on care-partner wellbeing across populations.

Making the Informal Formal: Discussing and Completing Advance Care Plans in Care Dyads with Cognitive Impairment.

Background: Discussing advance care planning (ACP) with care partners may be a steppingstone to the completion of advance directives (ADs) for persons with cognitive impairment (PwCIs). Objectives: To examine whether PwCI-reported occurrence of and PwCI-care partner agreement about ACP discussions are associated with completion of ADs. Design and Subjects: We conducted a secondary, cross-sectional analysis of data from 1672 PwCI-care partner dyads in the BLINDED study. PwCIs were Medicare beneficiaries in the US, aged >65 years, and diagnosed with mild cognitive impairment or dementia. Care partners were identified by PwCIs as being most involved in their health care. Measurements: PwCIs' completion of ADs was determined by 1 or more affirmative responses to dichotomous indicators for formalizing a living will, medical directive, or durable power of attorney for health care. Discussion occurrence was based on PwCI reports and agreement between PwCI and care partner reports of prior conversations about PwCIs' ACP preferences between PwCIs and care partners. Results: In logistic regression models adjusted for PwCI and care partner characteristics, PwCIs who had (vs. had not) discussed ACP were 10% more likely to complete ADs. PwCIs from dyads agreeing (vs. disagreeing) a discussion occurred were 7% more likely to complete ADs. PwCIs from care dyads in agreement (vs. disagreement) about non-discussion were 11% less likely to formalize ADs. Conclusions: Discussing ACP with care partners plays a direct, positive role in completing ADs among PwCIs. Health care providers who approach ACP as a dyadic, communicative decision-making process from the outset may facilitate PwCIs' uptake of ADs.

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.

Family Caregivers of Veterans Experience High Levels of Burden, Distress, and Financial Strain.

BACKGROUND/OBJECTIVES: To describe the caregiving experiences and physical and emotional needs of family members and friends who provide care to veterans with mental, physical, and cognitive comorbidities. DESIGN: Cross-sectional study. SETTING: National telephone surveys administered from 2017 to 2019. PARTICIPANTS: Family caregivers of veterans enrolled in the Veterans Affairs (VA) Program of General Caregiver Support Services between October 2016 and July 2018 who responded to a telephone survey (N = 1,509; response rate = 39%). MEASUREMENTS: We examined caregiver burden, depressive symptoms, financial strain, satisfaction with care, amount and duration of caregiving, life chaos, loneliness, and integration of caregiver with the healthcare team using validated instruments. We also collected caregiver demographic and socioeconomic characteristics and asked caregivers to identify the veteran's condition(s) and provide an assessment of the veteran's functioning. RESULTS: Average caregiver age was 62.2 (standard deviation [SD] = 13.7) and 69.8 (SD = 15.6) for veterans. Among caregivers, 76.7% identified at White, and 79.9% were married to the veteran. Caregivers reported having provided care for an average of 6.4 years and spending on average 9.6 hours per day and 6.6 days per week providing care. Average Zarit Subjective Burden score was 21.8 (SD = 9.4; range = 0-47), which is well above the cutoff for clinically significant burden (>16). Caregivers reported high levels of depressive symptoms; the sample average Center for Epidemiologic Studies Depression 10-item Scale score was 11.5 (SD = 7.1; range = 0-30). Caregivers also reported high levels of loneliness and financial strain. CONCLUSION: Caregivers who care for veterans with trauma-based comorbidities reported intensive caregiving and significant levels of distress, depressive symptoms, and other negative consequences. These caregivers require comprehensive support services including access to health care, financial assistance, and enhanced respite care. Planned expansion of VA caregiver support has the potential to provide positive benefits for this population and serve as a model for caregiver support programs outside the VA health care system.

Comprehensive support of family caregivers: Are there health system cost offsets?

OBJECTIVES: To examine the effect of the Department of Veterans Affairs' (VA) Program of Comprehensive Assistance for Caregivers (PCAFC) on total VA health care costs for Veterans. DATA SOURCES: VA claims. STUDY DESIGN: Using a pre-post cohort design with nonequivalent control group, we estimated the effect of PCAFC on total VA costs up through 6 years. The treatment group included Veterans (n = 32 394) whose caregivers enrolled in PCAFC. The control group included an inverse probability of treatment weighted sample of Veterans whose caregivers were denied PCAFC enrollment (n = 38 402). DATA EXTRACTION: May 2009-September 2017. PRINCIPAL FINDINGS: Total VA costs pre-PCAFC application date were no different between groups. Veterans in PCAFC were estimated to have $13 227 in VA costs in the first 6 months post-PCAFC application, compared to $10 806 for controls. Estimated VA costs for both groups decreased in the first 3 years with a narrowing, but persistent and significant, difference, through 5.5 years. No significant difference in VA health care costs existed at 6 years, approximately $10 000 each, though confidence intervals reflect significant uncertainty in cost differences at 6 years. CONCLUSIONS: Increased costs arose from increased outpatient costs of participants. Sample composition changes may explain lack of significance in cost differences at 6 years because these costs comprise of early appliers to PCAFC. Examining 10-year costs could elucidate whether there are long-term cost offsets from increased engagement in outpatient care.

How Accurately Do Patients and Their Care Partners Report Results of Amyloid-ß PET Scans for Alzheimer's Disease Assessment?

BACKGROUND: Amyloid-ß PET scans will likely become an integral part of the diagnostic evaluation for Alzheimer's disease if Medicare approves reimbursement for the scans. However, little is known about patients' and their care partners' interpretation of scan results. OBJECTIVE: This study seeks to understand how accurately patients with mild cognitive impairment (MCI) or dementia and their care partners report results of amyloid-ß PET scans and factors related to correct reporting. METHODS: A mixed-methods approach was used to analyze survey data from 1,845 patient-care partner dyads and responses to open-ended questions about interpretation of scan results from a sub-sample of 200 dyads. RESULTS: Eighty-three percent of patients and 85% of care partners correctly reported amyloid-ß PET scan results. Patients' higher cognitive function was associated with a small but significant decrease in the predicted probability of not only patients accurately reporting scan results (ME: -0.004, 95% CI: -0.007, -0.000), but also care partners accurately reporting scan results (ME: -0.006, 95% CI: -0.007, -0.001), as well as decreased concordance between patient and care partner reports (ME: -0.004, 95% CI: -0.007, -0.001). Content analysis of open-ended responses found that participants who reported the scan results incorrectly exhibited more confusion about diagnostic terminology than those who correctly reported the scan results. CONCLUSION: Overall, patients with MCI or dementia showed high rates of accurate reporting of amyloid-ß PET scan results. However, responses to questions about the meaning of the scan results highlight the need for improved provider communication, including providing written explanations and better prognostic information.

Leveraging institutional support for family caregivers to meet the health and vocational needs of persons with disabilities.

BACKGROUND: Family caregivers might enhance veteran engagement in health and nonhealth services (i.e., vocational/educational assistance). PURPOSE: To describe how veterans with disabilities perceive their recovery needs, identify types of social support from caregivers that help veterans engage in Veterans Affairs (VA) health and nonhealth services, and explore participant views of VA institutional support for caregivers to help veterans engage in these services. METHODS: Joint in-depth qualitative interviews with U.S. veterans and family caregivers (n = 26). FINDINGS: Caregivers performed social support functions that helped veterans engage in health and vocational/educational services and institutional support from VA enhanced caregivers' capacity. DISCUSSION: Caregivers are well positioned to align health and nonhealth services with patient needs to enhance recovery. Staffing a point person for caregivers within the health system is key to help families develop a coordinated plan of treatment and services to improve patient success across health and nonhealth domains. Nurses are well suited to perform this role.

Family Caregiver Skills Training to Improve Experiences of Care: a Randomized Clinical Trial.

OBJECTIVE: To evaluate the effectiveness of Helping Invested Families Improve Veterans' Experiences Study (HI-FIVES), a skills training program for caregivers of persons with functional or cognitive impairments. DESIGN: A two-arm RCT. SETTING: Single Veterans Affairs Medical Center. PARTICIPANTS: Patients and their primary caregivers referred in the past 6 months to home and community-based services or geriatrics clinic. INTERVENTION: All caregivers received usual care. Caregivers in HI-FIVES also received five training calls and four group training sessions. MAIN MEASURES: Cumulative patient days at home 12 months post-randomization, defined as days not in an emergency department, inpatient hospital, or post-acute facility. Secondary outcomes included patients' total VA health care costs, caregiver and patient rating of the patient's experience of VA health care, and caregiver depressive symptoms. RESULTS: Of 241 dyads, caregivers' (patients') mean age was 61 (73) years, 54% (53%) Black and 89% (4%) female. HI-FIVES was associated with a not statistically significant 9% increase in the rate of days at home (95% CI 0.72, 1.65; mean difference 1 day over 12 months). No significant differences were observed in health care costs or caregiver depressive symptoms. Model-estimated mean baseline patient experience of VA care (scale of 0-10) was 8.43 (95% CI 8.16, 8.70); the modeled mean difference between HI-FIVES and controls at 3 months was 0.29 (p = .27), 0.31 (p = 0.26) at 6 months, and 0.48 (p = 0.03) at 12 months. For caregivers, it was 8.34 (95% CI 8.10, 8.57); the modeled mean difference at 3 months was 0.28 (p = .18), 0.53 (p < .01) at 6 months, and 0.46 (p = 0.054) at 12 months. CONCLUSIONS: HI-FIVES did not increase patients' days at home; it showed sustained improvements in caregivers' and patients' experience of VA care at clinically significant levels, nearly 0.5 points. The training holds promise in increasing an important metric of care quality-reported experience with care.

Comprehensive Support for Family Caregivers: Impact on Veteran Health Care Utilization and Costs.

This study aimed to examine the early impact of the Program of Comprehensive Assistance for Family Caregivers (PCAFC) on Veteran health care utilization and costs. A pre-post cohort design including a nonequivalent control group was used to understand how Veterans' use of Veteran Affairs health care and total health care costs changed in 6-month intervals up to 3 years after PCAFC enrollment. The control group was an inverse probability of treatment weighted sample of Veterans whose caregivers applied for, but were not accepted into, PCAFC. Veterans in PCAFC had similar acute care utilization postenrollment when compared with those in the control group, but significantly greater primary, specialty, and mental health outpatient care use at least 30, and up to 36, months postenrollment. Estimated total health care costs for PCAFC Veterans were $1,500 to $3,400 higher per 6-month interval than for control group Veterans. PCAFC may have increased Veterans' access to care.

Do Maternity Care Coordination Services Encourage Use of Behavioral Health Treatment among Pregnant Women on Medicaid?

OBJECTIVE: Maternity care coordination (MCC) may provide an opportunity to enhance access to behavioral health treatment services. However, this relationship has not been examined extensively in the empirical literature. This study examines the effect of MCC on use of behavioral health services among perinatal women. METHODS: Medicaid claims data from October 2008 to September 2010 were analyzed using linear fixed effects models to investigate the effects of receipt of MCC services on mental health and substance use-related service use among Medicaid-eligible pregnant and postpartum women in North Carolina (n = 7,406). RESULTS: Receipt of MCC is associated with a 20% relative increase in the contemporaneous use of any mental health treatment (within-person change in probability of any mental health visit 0.5% [95% CI, 0.1%-1.0%], or an increase from 8.3% to 8.8%); MCC in the prior month is associated with a 34% relative increase in the number of mental health visits among women who receive MCC (within-person change in the number of visits received 1.7% [95 CI, 0.2%-3.3%], or from 0.44 to 0.46 mental health visits). No relationship was observed between MCC and Medicaid-funded substance use-related treatment services. CONCLUSIONS: MCC may be an effective way to quickly address perinatal mental health needs and engage low-income women in mental health care. However, currently there may be a lost opportunity within MCC to increase access to substance use-related treatment. Future studies should examine how MCC improves access to mental health care such that the program's ability can be strengthened to identify women with substance use-related disorders and transition them into available care.

Mothers' Employment Attributes and Use of Preventive Child Health Services.

This study examines whether paid sick leave and hours worked per week are associated with receipt of recommended well-child visits, preventive dental care, influenza vaccines, obesity screening, and vision screening among U.S. children aged 0 to 17 years whose mothers were employed using data from the Medical Expenditure Panel Survey. Residual inclusion instrumental variables methods were used to address unobserved confounding related to maternal employment and child health care use. Instruments were the industry-specific mean of paid leave and hours worked. Fewer than half of children received the recommended number of well-child visits and dental care; only 14% of children received an influenza vaccine in the past year. Paid sick leave was associated with increased adherence to recommended well-child visits (marginal probability, 0.12; 95% confidence interval [CI] = 0.23, 0.01), preventive dental care (marginal probability, 0.28; 95% CI = 0.34, 0.33), and receipt of the influenza vaccine (marginal probability, 0.09; 95% CI = 0.13, 0.05 ).