Are Geriatrics-Focused Primary Care Clinics Better at Diagnosing Dementia Than Traditional Clinics? A Matched Cohort Study

BACKGROUND

Dementia and mild cognitive impairment (MCI) are prevalent but underdiagnosed.

OBJECTIVE

To compare new dementia/MCI diagnosis rates in geriatrics-focused primary care clinics and traditional primary care clinics.

DESIGN

Secondary analysis of a prospective matched cohort study that spanned 2017-2021.

PARTICIPANTS

Community-dwelling Veterans over 65 receiving primary care in a geriatrics-focused medical home (GeriPACT) or traditional primary care home (PACT) at one of 57 Veterans Affairs sites. We excluded individuals with a documented diagnosis of dementia or MCI in the year prior to enrollment.

MAIN MEASURES

Diagnoses obtained from EHR. Cognitive status was assessed using modified Telephone Interview for Cognitive Status (mTICS) tool.

KEY RESULTS

The 470 participants included in this analysis were predominantly white, non-Hispanic males with an average age of 80.3 years. 9.4% of participants received a diagnosis of dementia/MCI after 24 months: 11.5% in GeriPACT and 7.2% in PACT. Adjusted OR for dementia/MCI diagnosis based on GeriPACT exposure was 1.47 (95% CI 0.65-3.29). Low mTICS score (≤ 27) (OR 4.89, 95% CI 2.36-10.13) and marital status (married/partnered) (OR 1.89, CI 0.99-3.59) were independent predictors of dementia/MCI diagnosis. When stratified by cognitive status: diagnosis rates were 20.8% in GeriPACT and 16.7% in PACT among those who scored lower on the cognitive assessment (mTICS ≤ 27); 7.4% in GeriPACT and 3.6% in PACT among those who scored higher (mTICS > 27). The OR for new dementia/MCI diagnosis in GeriPACT was 1.19 (95% CI 0.49-2.91) among those with a low mTICS score and 1.85 (95% CI 0.70-4.88) among those with a higher mTICS score.

CONCLUSIONS

Observed rates of new dementia/MCI diagnosis were higher in GeriPACT, but with considerable uncertainty around estimates. Geriatrics-focused primary care clinics may be a promising avenue for improving the detection of dementia in older adults, but further larger studies are needed to confirm this relationship.

Impact of primary care usual provider type and provider interdependence on outcomes for patients with diabetes: a cohort study

BACKGROUND

Interprofessional primary care (PC) teams are key to the provision of high-quality care. PC providers often 'share' patients (eg, a patient may see multiple providers in the same clinic), resulting in between-visit interdependence between providers. However, concern remains that PC provider interdependence will reduce quality of care, causing some organisations to hesitate in creating multiple provider teams. If PC provider teams are formalised, the PC usual provider of care (UPC) type (physician, nurse practitioner (NP) or physician assistant/associate (PA)) should be determined for patients with varying levels of medical complexity.

OBJECTIVE

To evaluate the impact of PC provider interdependence, UPC type and patient complexity on diabetes-specific outcomes for adult patients with diabetes.

DESIGN

Cohort study using electronic health record data from 26 PC practices in central North Carolina, USA.

PARTICIPANTS

Adult patients with diabetes (N=10 498) who received PC in 2016 and 2017.

OUTCOME

Testing for diabetes control, testing for lipid levels, mean glycated haemoglobin (HbA1c) values and mean low-density lipoprotein (LDL) values in 2017.

RESULTS

Receipt of guideline recommended testing was high (72% for HbA1c and 66% for LDL testing), HbA1c values were 7.5% and LDL values were 88.5 mg/dL. When controlling for a range of patient and panel level variables, increases in PC provider interdependence were not significantly associated with diabetes-specific outcomes. Similarly, there were no significant differences in the diabetes outcomes for patients with NP/PA UPCs when compared with physicians. The number and type of a patient's chronic conditions did impact the receipt of testing, but not average values for HbA1c and LDL.

CONCLUSIONS

A range of UPC types on PC multiple provider teams can deliver guideline-recommended diabetes care. However, the number and type of a patient's chronic conditions alone impacted the receipt of testing, but not average values for HbA1c and LDL.

Exploring the importance of predisposing, enabling, and need factors for promoting Veteran engagement in mental health therapy for post-traumatic stress: a multiple methods study

PURPOSE

This study explored Veteran and family member perspectives on factors that drive post-traumatic stress disorder (PTSD) therapy engagement within constructs of the Andersen model of behavioral health service utilization. Despite efforts by the Department of Veterans Affairs (VA) to increase mental health care access, the proportion of Veterans with PTSD who engage in PTSD therapy remains low. Support for therapy from family members and friends could improve Veteran therapy use.

METHODS

We applied a multiple methods approach using data from VA administrative data and semi-structured individual interviews with Veterans and their support partners who applied to the VA Caregiver Support Program. We integrated findings from a machine learning analysis of quantitative data with findings from a qualitative analysis of the semi-structured interviews.

RESULTS

In quantitative models, Veteran medical need for health care use most influenced treatment initiation and retention. However, qualitative data suggested mental health symptoms combined with positive Veteran and support partner treatment attitudes motivated treatment engagement. Veterans indicated their motivation to seek treatment increased when family members perceived treatment to be of high value. Veterans who experienced poor continuity of VA care, group, and virtual treatment modalities expressed less care satisfaction. Prior marital therapy use emerged as a potentially new facilitator of PTSD treatment engagement that warrants more exploration.

CONCLUSIONS

Our multiple methods findings represent Veteran and support partner perspectives and show that amid Veteran and organizational barriers to care, attitudes and support of family members and friends still matter. Family-oriented services and intervention could be a gateway to increase Veteran PTSD therapy engagement.

BMI Trends for Veterans Up to 10 Years After VA Enrollment Following Military Discharge

BACKGROUND

Obesity (body mass index [BMI]≥30kg/m2) among US adults has tripled over the past 45 years, but it is unclear how this population-level weight change has occurred.

OBJECTIVE

We sought to identify distinct long-term BMI trajectories and examined associations with demographic and clinical characteristics.

DESIGN

The design was latent trajectory modeling over 10 years of a retrospective cohort. Subgroups were identified via latent class growth mixture models, separately by sex. Weighted multinomial logistic regressions identified factors associated with subgroup membership.

PARTICIPANTS

Participants were a retrospective cohort of 292,331 males and 62,898 females enrolled in VA.

MAIN MEASURES

The main outcome measure was 6-month average VA-measured BMI over the course of 10 years. Additional electronic health record measures on demographic, clinical, and services utilization characteristics were also used to characterize latent trajectories.

KEY RESULTS

Four trajectories were identified for men and for women, corresponding to standard BMI categories "normal weight" (BMI <25), "overweight" (BMI 25-29.99), and "with obesity" (BMI ≥30): "normal weight" and increasing (males: 28.4%; females: 22.8%), "overweight" and increasing (36.4%; 35.6%), "with obesity" and increasing (33.6%; 40.0%), and "with obesity" and stable (males: 1.6%) or decreasing (females: 1.6%). Race, ethnicity, comorbidities, mental health diagnoses, and mental health service utilization discriminated among classes.

CONCLUSIONS

BMI in the 10 years following VA enrollment increased modestly. VA should continue prioritizing weight management interventions to the large number of veterans with obesity upon VA enrollment, because the majority remain with obesity.

Design and analysis of outcomes following SARS-CoV-2 infection in veterans

BACKGROUND

Understanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strategy employed by the Department of Veterans Affairs' (VA) COVID-19 Observational Research Collaboratory (CORC) to develop comparable cohorts of SARS-CoV-2 infected and uninfected persons for the purpose of inferring potential causative long-term adverse effects of SARS-CoV-2 infection in the Veteran population.

METHODS

In a retrospective cohort study, we identified VA health care system patients who were and were not infected with SARS-CoV-2 on a rolling monthly basis. We generated matched cohorts within each month utilizing a combination of exact and time-varying propensity score matching based on electronic health record (EHR)-derived covariates that can be confounders or risk factors across a range of outcomes.

RESULTS

From an initial pool of 126,689,864 person-months of observation, we generated final matched cohorts of 208,536 Veterans infected between March 2020-April 2021 and 3,014,091 uninfected Veterans. Matched cohorts were well-balanced on all 39 covariates used in matching after excluding patients for: no VA health care utilization; implausible age, weight, or height; living outside of the 50 states or Washington, D.C.; prior SARS-CoV-2 diagnosis per Medicare claims; or lack of a suitable match. Most Veterans in the matched cohort were male (88.3%), non-Hispanic (87.1%), white (67.2%), and living in urban areas (71.5%), with a mean age of 60.6, BMI of 31.3, Gagne comorbidity score of 1.4 and a mean of 2.3 CDC high-risk conditions. The most common diagnoses were hypertension (61.4%), diabetes (34.3%), major depression (32.2%), coronary heart disease (28.5%), PTSD (25.5%), anxiety (22.5%), and chronic kidney disease (22.5%).

CONCLUSION

This successful creation of matched SARS-CoV-2 infected and uninfected patient cohorts from the largest integrated health system in the United States will support cohort studies of outcomes derived from EHRs and sample selection for qualitative interviews and patient surveys. These studies will increase our understanding of the long-term outcomes of Veterans who were infected with SARS-CoV-2.

Association between patient-reported social, behavioral, and health factors and emergency department visits in high-risk VA patients

RESEARCH OBJECTIVE

To identify patient-reported social risk, behavioral, and health factors associated with emergency department (ED) utilization in high-risk Veterans Affairs (VA) patients.

DATA SOURCES

Patient survey, VA, Medicare data.

STUDY DESIGN

Prospective cohort study using multivariable logistic regression to identify patient-reported factors associated with all-cause and ambulatory care sensitive condition (ACSC)-related ED visits among VA patients at high risk for hospitalization or death.

DATA EXTRACTION METHODS

Patient-reported measures derived from a 2018 survey sent to 10,000 VA patients; clinical and demographic characteristics derived from VA data; ED visits derived from VA and Medicare claims.

PRINCIPAL FINDINGS

Among 4680 survey respondents, 52.5% and 16.3% experienced an all-cause or ACSC-related ED visit in the following year, respectively. An ED visit was more likely among individuals with functional status limitations (6.0% points (Confidence Interval [CI] 0.017-0.103)) and transportation barriers (5.2% points [CI 0.005-0.099]). An ACSC-related ED visit was more likely among individuals with functional status limitations (3.2% points [CI 0.003-0.062]) and self-rated poorer health (7.4% points (CI 0.030-0.119) poor; 6.2% points (CI 0.029-0.096) fair; 4.1% points (CI 0.009-0.073) good; compared with excellent/very good).

CONCLUSIONS

Patient-reported factors not present in most electronic health records were significantly associated with future ED visits in high-risk VA patients.

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.

Short-term effects of comprehensive caregiver supports on caregiver outcomes

OBJECTIVE

To estimate the association of the Veterans Health Administration (VHA) Program of Comprehensive Assistance for Family Caregivers (PCAFC) implemented in 2011 with caregiver health and health care use.

DATA SOURCES

VHA claims and electronic health records from May 2009 to May 2018.

STUDY DESIGN

Using a retrospective, pre-post study design with inverse probability of treatment weights to address selection into treatment, we examine the association of PCAFC on caregivers who are veterans: (1) outpatient primary, specialty, and mental health care visits; (2) probability of uncontrolled hypertension and anxiety/depression; and (3) VHA health care costs. We compare outcomes for caregivers approved for PCAFC (treatment) to caregivers denied PCAFC (comparison).

DATA COLLECTION/EXTRACTION METHODS

Not applicable.

PRINCIPAL FINDINGS

In the year pre-application, we observe similar probabilities of having any VHA primary care (~36%), VHA specialty care (~24%), and VHA or VHA-purchased mental health care (~22%) for treatment and comparison caregivers. In the year post-application, treated caregivers had a 5.89 percentage point larger probability of any outpatient VHA primary care (p = 0.002) and 4.34 percentage points larger probability of any outpatient mental health care use (p = 0.014). Post-application, probabilities of having uncontrolled hypertension or diagnosed anxiety/depression were higher for both treated and comparison groups. In the second year post-application, treated caregivers had a 1.88 percentage point larger probability of uncontrolled hypertension (p = 0.019) and 4.68 percentage points larger probability of diagnosed anxiety/depression (predicted probabilities: treated = 0.30; comparison = 0.25; p = 0.005). We find no evidence of differences in VHA total costs by PCAFC status.

CONCLUSIONS

Our findings that PCAFC enrollment is associated with increased health care diagnosis and service use may reflect improved access for previously unmet needs in the population of veteran caregivers for veterans in PCAFC. The costs and value of these increases can be weighed against other effects of the program to inform national policies supporting caregivers.

Digital Medicine System in Veterans With Severe Mental Illness: Feasibility and Acceptability Study

BACKGROUND

Suboptimal medication adherence is a significant problem for patients with serious mental illness. Measuring medication adherence through subjective and objective measures can be challenging, time-consuming, and inaccurate.

OBJECTIVE

The primary purpose of this feasibility and acceptability study was to evaluate the impact of a digital medicine system (DMS) among Veterans (patients) with serious mental illness as compared with treatment as usual (TAU) on medication adherence.

METHODS

This open-label, 2-site, provider-randomized trial assessed aripiprazole refill adherence in Veterans with schizophrenia, schizoaffective disorder, bipolar disorder, or major depressive disorder. We randomized 26 providers such that their patients either received TAU or DMS for a period of 90 days. Semistructured interviews with patients and providers were used to examine the feasibility and acceptability of using the DMS.

RESULTS

We enrolled 46 patients across 2 Veterans Health Administration sites: 21 (46%) in DMS and 25 (54%) in TAU. There was no difference in the proportion of days covered by medication refill over 3 and 6 months (0.82, SD 0.24 and 0.75, SD 0.26 in DMS vs 0.86, SD 0.19 and 0.82, SD 0.21 in TAU, respectively). The DMS arm had 0.85 (SD 0.20) proportion of days covered during the period they were engaged with the DMS (mean 144, SD 100 days). Interviews with patients (n=14) and providers (n=5) elicited themes salient to using the DMS. Patient findings described the positive impact of the DMS on medication adherence, challenges with the DMS patch connectivity and skin irritation, and challenges with the DMS app that affected overall use. Providers described an overall interest in using a DMS as an objective measure to support medication adherence in their patients. However, providers described challenges with the DMS dashboard and integrating DMS data into their workflow, which decreased the usability of the DMS for providers.

CONCLUSIONS

There was no observed difference in refill rates. Among those who engaged in the DMS arm, the proportion of days covered by refills were relatively high (mean 0.85, SD 0.20). The qualitative analyses highlighted areas for further refinement of the DMS.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03881449; https://clinicaltrials.gov/ct2/show/NCT03881449.

Effectiveness of mRNA COVID-19 Vaccine Boosters Against Infection, Hospitalization, and Death: A Target Trial Emulation in the Omicron (B.1.1.529) Variant Era

BACKGROUND

The effectiveness of a third mRNA COVID-19 vaccine dose (booster dose) against the Omicron (B.1.1.529) variant is uncertain, especially in older, high-risk populations.

OBJECTIVE

To determine mRNA booster vaccine effectiveness (VE) against SARS-CoV-2 infection, hospitalization, and death in the Omicron era by booster type, primary vaccine type, time since primary vaccination, age, and comorbidity burden.

DESIGN

Retrospective matched cohort study designed to emulate a target trial of booster vaccination versus no booster, conducted from 1 December 2021 to 31 March 2022.

SETTING

U.S. Department of Veterans Affairs health care system.

PARTICIPANTS

Persons who had received 2 mRNA COVID-19 vaccine doses at least 5 months earlier.

INTERVENTION

Booster monovalent mRNA vaccination (Pfizer-BioNTech's BNT162b2 or Moderna's mRNA-1273) versus no booster.

MEASUREMENTS

Booster VE.

RESULTS

Each group included 490 838 well-matched persons, who were predominantly male (88%), had a mean age of 63.0 years (SD, 14.0), and were followed for up to 121 days (mean, 79.8 days). Booster VE more than 10 days after a booster dose was 42.3% (95% CI, 40.6% to 43.9%) against SARS-CoV-2 infection, 53.3% (CI, 48.1% to 58.0%) against SARS-CoV-2-related hospitalization, and 79.1% (CI, 71.2% to 84.9%) against SARS-CoV-2-related death. Booster VE was similar for different booster types (BNT162b2 or mRNA-1273), age groups, and primary vaccination regimens but was significantly higher with longer time since primary vaccination and higher comorbidity burden.

LIMITATION

Predominantly male population.

CONCLUSION

Booster mRNA vaccination was highly effective in preventing death and moderately effective in preventing infection and hospitalization for up to 4 months after administration in the Omicron era. Increased uptake of booster vaccination, which is currently suboptimal, should be pursued to limit the morbidity and mortality of SARS-CoV-2 infection, especially in persons with high comorbidity burden.

PRIMARY FUNDING SOURCE

U.S. Department of Veterans Affairs.

Consensus elements for observational research on COVID-19-related long-term outcomes

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its long-term outcomes may be jointly caused by a wide range of clinical, social, and economic characteristics. Studies aiming to identify mechanisms for SARS-CoV-2 morbidity and mortality must measure and account for these characteristics to arrive at unbiased, accurate conclusions. We sought to inform the design, measurement, and analysis of longitudinal studies of long-term outcomes among people infected with SARS-CoV-2. We fielded a survey to an interprofessional group of clinicians and scientists to identify factors associated with SARS-CoV-2 infection and subsequent outcomes. Using an iterative process, we refined the resulting list of factors into a consensus causal diagram relating infection and 12-month mortality. Finally, we operationalized concepts from the causal diagram into minimally sufficient adjustment sets using common medical record data elements. Total 31 investigators identified 49 potential risk factors for and 72 potential consequences of SARS-CoV-2 infection. Risk factors for infection with SARS-CoV-2 were grouped into five domains: demographics, physical health, mental health, personal social, and economic factors, and external social and economic factors. Consequences of coronavirus disease 2019 (COVID-19) were grouped into clinical consequences, social consequences, and economic consequences. Risk factors for SARS-CoV-2 infection were developed into a consensus directed acyclic graph for mortality that included two minimally sufficient adjustment sets. We present a collectively developed and iteratively refined list of data elements for observational research in SARS-CoV-2 infection and disease. By accounting for these elements, studies aimed at identifying causal pathways for long-term outcomes of SARS-CoV-2 infection can be made more informative.

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

Background: Diagnostic tests, such as amyloid-β 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-β 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.

Implementation of an Intensive Telehealth Intervention for Rural Patients with Clinic-Refractory Diabetes

BACKGROUND

Rural patients with type 2 diabetes (T2D) may experience poor glycemic control due to limited access to T2D specialty care and self-management support. Telehealth can facilitate delivery of comprehensive T2D care to rural patients, but implementation in clinical practice is challenging.

OBJECTIVE

To examine the implementation of Advanced Comprehensive Diabetes Care (ACDC), an evidence-based, comprehensive telehealth intervention for clinic-refractory, uncontrolled T2D. ACDC leverages existing Veterans Health Administration (VHA) Home Telehealth (HT) infrastructure, making delivery practical in rural areas.

DESIGN

Mixed-methods implementation study.

PARTICIPANTS

230 patients with clinic-refractory, uncontrolled T2D.

INTERVENTION

ACDC bundles telemonitoring, self-management support, and specialist-guided medication management, and is delivered over 6 months using existing VHA HT clinical staffing/equipment. Patients may continue in a maintenance protocol after the initial 6-month intervention period.

MAIN MEASURES

Implementation was evaluated using the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. The primary effectiveness outcome was hemoglobin A1c (HbA1c).

KEY RESULTS

From 2017 to 2020, ACDC was delivered to 230 patients across seven geographically diverse VHA sites; on average, patients were 59 years of age, 95% male, 80% white, and 14% Hispanic/Latinx. Patients completed an average of 10.1 of 12 scheduled encounters during the 6-month intervention period. Model-estimated mean baseline HbA1c was 9.56% and improved to 8.14% at 6 months (- 1.43%, 95% CI: - 1.64, - 1.21; P < .001). Benefits persisted at 12 (- 1.26%, 95% CI: - 1.48, - 1.05; P < .001) and 18 months (- 1.08%, 95% CI - 1.35, - 0.81; P < .001). Patients reported increased engagement in self-management and awareness of glycemic control, while clinicians and HT nurses reported a moderate workload increase. As of this submission, some sites have maintained delivery of ACDC for up to 4 years.

CONCLUSIONS

When strategically designed to leverage existing infrastructure, comprehensive telehealth interventions can be implemented successfully, even in rural areas. ACDC produced sustained improvements in glycemic control in a previously refractory population.

Effect of a Comprehensive Telehealth Intervention vs Telemonitoring and Care Coordination in Patients With Persistently Poor Type 2 Diabetes Control: A Randomized Clinical Trial

IMPORTANCE

Persistently poorly controlled type 2 diabetes (PPDM) is common and causes poor outcomes. Comprehensive telehealth interventions could help address PPDM, but effectiveness is uncertain, and barriers impede use in clinical practice.

OBJECTIVE

To address evidence gaps preventing use of comprehensive telehealth for PPDM by comparing a practical, comprehensive telehealth intervention to a simpler telehealth approach.

DESIGN, SETTING, AND PARTICIPANTS

This active-comparator, parallel-arm, randomized clinical trial was conducted in 2 Veterans Affairs health care systems. From December 2018 to January 2020, 1128 outpatients with PPDM were assessed for eligibility and 200 were randomized; PPDM was defined as maintenance of hemoglobin A1c (HbA1c) level of 8.5% or higher for 1 year or longer despite engagement with clinic-based primary care and/or diabetes specialty care. Data analyses were preformed between March 2021 and May 2022.

INTERVENTIONS

Each 12-month intervention was nurse-delivered and used only clinical staffing/resources. The comprehensive telehealth group (n = 101) received telemonitoring, self-management support, diet/activity support, medication management, and depression support. Patients assigned to the simpler intervention (n = 99) received telemonitoring and care coordination.

MAIN OUTCOMES AND MEASURES

Primary (HbA1c) and secondary outcomes (diabetes distress, diabetes self-care, self-efficacy, body mass index, depression symptoms) were analyzed over 12 months using intent-to-treat linear mixed longitudinal models. Sensitivity analyses with multiple imputation and inclusion of clinical data examined the impact of missing HbA1c measurements. Adverse events and intervention costs were examined.

RESULTS

The population (n = 200) had a mean (SD) age of 57.8 (8.2) years; 45 (22.5%) were women, 144 (72.0%) were of Black race, and 11 (5.5%) were of Hispanic/Latinx ethnicity. From baseline to 12 months, HbA1c change was -1.59% (10.17% to 8.58%) in the comprehensive telehealth group and -0.98% (10.17% to 9.19%) in the telemonitoring/care coordination group, for an estimated mean difference of -0.61% (95% CI, -1.12% to -0.11%; P = .02). Sensitivity analyses showed similar results. At 12 months, patients receiving comprehensive telehealth had significantly greater improvements in diabetes distress, diabetes self-care, and self-efficacy; no differences in body mass index or depression were seen. Adverse events were similar between groups. Comprehensive telehealth cost an additional $1519 per patient per year to deliver.

CONCLUSIONS AND RELEVANCE

This randomized clinical trial found that compared with telemonitoring/care coordination, comprehensive telehealth improved multiple outcomes in patients with PPDM at a reasonable additional cost. This study supports consideration of comprehensive telehealth implementation for PPDM in systems with appropriate infrastructure and may enhance the value of telehealth during the COVID-19 pandemic and beyond.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03520413.

Predictors of discharge from the VA Caregiver Support Program

OBJECTIVES

The Department of Veterans Affairs (VA) Program of Comprehensive Assistance for Family Caregivers (PCAFC) is a clinical program providing training, a monthly stipend, and other services to caregivers of qualifying post-9/11 veterans with service-related injuries. Veteran-caregiver discharge from the program occurs when veteran recovery is achieved, participation is no longer in the veteran's best interest, or caregiving ceases. Public scrutiny about potentially inappropriate discharges resulted in a nationwide freeze on all discharges. PCAFC expanded to pre-9/11 veterans in October 2020; thus, lessons learned can continue to inform the expanded program. We pursued 3 objectives: (1) describe the discharge rate, reasons for discharge, and veteran and caregiver characteristics by discharge status; (2) identify factors associated with discharge from PCAFC nationally; and (3) characterize network variation in discharge predictors.

STUDY DESIGN

Retrospective observational study using VA administrative data from fiscal year (FY) 2011 to FY 2017.

METHODS

Using multivariable Cox proportional hazards regression, we examined factors associated with PCAFC discharge among veterans and caregivers enrolled in PCAFC during FY 2011 to FY 2016.

RESULTS

A total of 40.5% of all participants were discharged. Nonspouse caregivers and those applying in later years had the highest rates of discharge; spouse caregivers and those applying in earlier years had the lowest rates of discharge. In 4 of 18 networks, caregivers of Black veterans faced higher rates of discharge compared with caregivers of White veterans, and in 1 network, they faced lower rates of discharge. Substantial variability in rates of discharge was also observed across Veterans Integrated Service Networks.

CONCLUSIONS

Training on clinically appropriate discharge criteria could improve practice and increase equity.

Family Caregivers of Veterans Experience Clinically Significant Levels of Distress Prepandemic and During Pandemic: Implications for Caregiver Support Services

BACKGROUND

Of the 26.4 million family caregivers in the United States, nearly 40% report high levels of emotional strain and subjective burden. However, for the 5 million caregivers of Veterans, little is known about the experiences of caregivers of Veterans during the coronavirus disease 2019 (COVID-19) pandemic.

OBJECTIVE

The aim was to examine pandemic-related changes of caregiver well-being outcomes.

RESEARCH DESIGN, SUBJECTS, AND MEASURES

Using a pre/post design and longitudinal data of individual caregivers captured pre-COVID-19 and during COVID-19, we use multilevel generalized linear mixed models to examine pandemic-related changes to caregiver well-being (n=903). The primary outcome measures include Zarit Subjective Burden, Center for Epidemiologic Studies Short Depression Scale, perceived financial strain, life chaos, and loneliness.

RESULTS

During the pandemic, we observe slight improvements for caregivers across well-being measures except for perceived financial strain. Before the pandemic, we observed that caregivers screened positive for clinically significant caregiver burden and probable depression. While we do not observe worsening indicators of caregiver well-being during the COVID-19 pandemic, the average predicted values of indicators of caregiver well-being remain clinically significant for caregiving subjective burden and depression.

CONCLUSIONS

These findings illuminate pandemic-related impacts of caregivers receiving support through the Veterans Affairs (VA) pre-COVID and during the COVID-19 pandemic while caring for a population of frail, older care-recipients with a high burden of mental illness and other chronic conditions. Considering the long-term impacts of the pandemic to increase morbidity and the expected increased demand for caregivers in an aging population, these consistently high levels of distress despite receiving support highlight the need for interventions and policy reform to systematically support caregivers more broadly.

Potential Targets for Deprescribing in Medically Complex Older Adults with Suspected Cognitive Impairment

Deprescribing may be particularly beneficial in patients with medical complexity and suspected cognitive impairment (CI). We describe central nervous system (CNS) medication use and side effects in this population and explore the relationship between anticholinergic burden and sleep. We conducted a cross-sectional analysis of baseline data from a pilot randomized-controlled trial in older adult veterans with medical complexity (Care Assessment Need score > 90), and suspected CI (Telephone Interview for Cognitive Status score 20−31). CNS medication classes included antipsychotics, benzodiazepines, H2-receptor antagonists, hypnotics, opioids, and skeletal muscle relaxants. We also coded anticholinergic-active medications according to their Anticholinergic Cognitive Burden (ACB) score. Other measures included self-reported medication side effects and the Pittsburgh Sleep Quality Index (PSQI). ACB association with sleep (PSQI) was examined using adjusted linear regression. In this sample (N = 40), the mean number of prescribed CNS medications was 2.2 (SD 1.5), 65% experienced ≥ 1 side effect, and 50% had an ACB score ≥ 3 (high anticholinergic exposure). The ACB score ≥ 3 compared to ACB < 3 was not significantly associated with PSQI scores (avg diff in score = −0.1, 95% CI −2.1, 1.8). Although results did not demonstrate a clear relationship with worsened sleep, significant side effects and anticholinergic burden support the deprescribing need in this population.

Reactions to Amyloid PET Scan Results and Levels of Anxious and Depressive Symptoms: CARE IDEAS Study

BACKGROUND AND OBJECTIVES

Few studies have examined care partners' reactions to their loved ones receiving amyloid-β positron emission tomography (PET) scan results, which can be indicative of Alzheimer's disease. We explored care partners' reactions qualitatively, and checked the association of scan results and diagnostic category (dementia vs mild cognitive impairment [MCI]) with care partner anxious and depressive symptoms through quantitative analysis.

RESEARCH DESIGN AND METHODS

Using data from 1,761 care partners in the Caregivers' Reactions and Experience, a supplemental study of the Imaging Dementia Evidence for Amyloid Scanning study, we applied an exploratory sequential mixed-methods design and examined the reactions of 196 care partners to receiving amyloid PET scan results through open-ended interview questions. Based on the qualitative content analysis, we hypothesized there would be an association of care partners' depressive (Patient Health Questionnaire-2) and anxious (6-item State-Trait Anxiety Inventory) symptoms with scan results and diagnostic category which we then tested with logistic regression models.

RESULTS

Content analysis of open-ended responses suggests that when scan results follow the care partner's expectations, for example, elevated amyloid in persons with dementia, care partners report relief and gratitude for the information, rather than distress. Adjusted logistic regression models of survey responses support this finding, with significantly higher odds of anxiety, but not depressive symptoms, among care partners of persons with MCI versus dementia and elevated amyloid.

DISCUSSION AND IMPLICATIONS

Care partners of persons with MCI reported distress and had higher odds of anxiety after receiving elevated amyloid PET scan results than care partners of persons with dementia. This has the potential to inform clinical practice through recommendations for mental health screening and referrals.

Pittsburgh Air Pollution Changes During the COVID-19 Lockdown

The rapid spread of COVID-19 resulted in various public lockdowns across the globe. Previous studies showed that resultant travel restrictions improved air quality. The novel results presented here focus on source-specific changes and compare air quality for multiple years controlled for precipitation. This study sought to analyze air pollution changes in Pittsburgh, a city where an industrial past and present has led to elevated levels of particulate matter with representative diameter of ≤ 2.5μm (PM_2.5). Data from the Allegheny County Health Department, from monitors located near a variety of site types, were analyzed with generalized linear models that used a gamma distribution with a log link to determine the magnitude and significance of changes in air pollution during the COVID-19 lockdown. The hypothesis was that nitrogen dioxide (NO₂), which is primarily linked to vehicular traffic, would decrease significantly while potential decreases in particulate matter (PM_2.5 and PM₁₀) would be less apparent. Results of the regression models showed that NO₂ was significantly reduced during lockdown at both monitoring sites and that PM₁₀ was also significantly reduced at the majority of monitoring sites. However, decreases in PM_2.5 pollution were only observed at half of the monitoring locations, and the location which observed the greatest decreases is located adjacent to an industrial source. Decreases in PM_2.5 at this monitoring site were likely a result of reduced industrial processes both dependent and independent of the COVID-19 lockdown. This study suggests that industrial sources are a larger contributor of particulate matter than vehicular transportation in the city of Pittsburgh and that future air pollution reduction efforts should focus attention on emission reduction at these industrial facilities.

Does Long-Term Post-Bariatric Weight Change Differ Across Antidepressants?

We sought to evaluate whether weight change up to 5 years after bariatric surgery differed by antidepressant class taken before surgery.

Background

Bariatric surgery induces significant weight loss, but outcomes are highly variable. The specific type of antidepressant used prior to surgery may be an important factor in long-term weight loss.

Methods

This retrospective cohort study from 2000 to 2016 compared the 5-year weight loss of 556 Veterans who were taking antidepressant monotherapy (bupropion, selective serotonin reuptake inhibitors [SSRIs], or serotonin-norepinephrine reuptake inhibitors [SNRIs]) before bariatric surgery (229 sleeve gastrectomy and 327 Roux-en-Y gastric bypass) versus 556 matched nonsurgical controls.

Results

Patients taking bupropion before sleeve gastrectomy had greater differential weight loss between surgical patients and matched controls than those taking SSRIs at 1 (8.9 pounds; 95% confidence interval [CI], 1.6-16.3; P = 0.02) and 2 years (17.6 pounds; 95% CI, 5.9-29.3; P = 0.003), but there was no difference at 5 years (11.9 pounds; 95% CI, -8.9 to 32.8; P = 0.26). Findings were similar for gastric bypass patients taking bupropion compared to SSRIs at 1 (9.7 pounds; 95% CI, 2.0-17.4; P = 0.014), 2 (12.0 pounds; 95% CI, -0.5 to 24.5; P = 0.06), and 5 years (4.8 pounds; 95% CI, -16.7 to 26.3; P = 0.66). No significant differences were observed comparing patients taking SNRI versus SSRI medications.

Conclusions

Sleeve gastrectomy and gastric bypass patients taking bupropion had greater weight loss than those taking SSRIs, although these differences may wane over time. Bupropion may be the first-line antidepressant of choice among patients with severe obesity considering bariatric surgery.

Teaming up in primary care: Membership boundaries, interdependence, and coordination

OBJECTIVE

Increased demand for quality primary care and value-based payment has prompted interest in implementing primary care teams. Evidence-based recommendations for implementing teams will be critical to successful PA participation. This study sought to describe how primary care providers (PCPs) define team membership boundaries and coordinate tasks.

METHODS

This mixed-methods study included 28 PCPs from a primary care network. We analyzed survey data using descriptive statistics and interview data using content analysis.

RESULTS

Ninety-six percent of PCPs reported team membership. Team models fell into one of five categories. The predominant coordination mechanism differed by whether coordination was required in a visit or between visits.

CONCLUSIONS

Team-based primary care is a strategy for improving access to quality primary care. Most PCPs define team membership based on within-visit task interdependencies. Our findings suggest that team-based interventions can focus on clarifying team membership, increasing interaction between clinicians, and enhancing the electronic health record to facilitate between-visit coordination.

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.

Disparities in Chronic Kidney Disease Progression by Medicare Advantage Enrollees

INTRODUCTION

The prevalence of chronic kidney disease (CKD) in Medicare beneficiaries has quadrupled in the past 2 decades, but little is known about risk factors affecting the progression of CKD. This study aims to understand the progression in Medicare Advantage enrollees and whether it differs by provider recognition of CKD, race and ethnicity, or geographic location. In a large cohort of Medicare Advantage (MA) enrollees, we examined whether CKD progression, up to 5 years after study entry, differed by demographic and clinical factors and identified additional risk factors of CKD progression.

METHODS

In a cohort of 1,002,388 MA enrollees with CKD stages 1-4 based on 2013-2018 labs, progression was estimated using a mixed-effects model that adjusted for demographics, geographic location, comorbidity, urine albumin-to-creatinine ratio, clinical recognition via diagnosed CKD, and time-fixed effects. Race and ethnicity, geographic location, and clinical recognition of CKD were interacted with time in 3 separate regression models.

RESULTS

Mean (median) follow-up was 3.1 (3.0) years. Black and Hispanic MA enrollees had greater kidney function at study entry than other beneficiaries, but their kidney function declined faster. MA enrollees with clinically recognized CKD had estimated glomerular filtration rate levels that were 18.6 units (95% confidence interval [CI]: 18.5-18.7) lower than levels of unrecognized patients, but kidney function declined more slowly in enrollees with clinical recognition. There were no differences in CKD progression by geography. After removal of the race coefficient from the eGFR equation in a sensitivity analysis, kidney function was much lower in all years among Black MA enrollees, but patterns of progression remained the same.

DISCUSSION/CONCLUSIONS

These results suggest that patients with clinically recognized CKD and racial and ethnic minorities merit closer surveillance and management to reduce their risk of faster progression.

Evaluation of a geriatrics primary care model using prospective matching to guide enrollment

BACKGROUND

Few definitive guidelines exist for rigorous large-scale prospective evaluation of nonrandomized programs and policies that require longitudinal primary data collection. In Veterans Affairs (VA) we identified a need to understand the impact of a geriatrics primary care model (referred to as GeriPACT); however, randomization of patients to GeriPACT vs. a traditional PACT was not feasible because GeriPACT has been rolled out nationally, and the decision to transition from PACT to GeriPACT is made jointly by a patient and provider. We describe our study design used to evaluate the comparative effectiveness of GeriPACT compared to a traditional primary care model (referred to as PACT) on patient experience and quality of care metrics.

METHODS

We used prospective matching to guide enrollment of GeriPACT-PACT patient dyads across 57 VA Medical Centers. First, we identified matches based an array of administratively derived characteristics using a combination of coarsened exact and distance function matching on 11 identified key variables that may function as confounders. Once a GeriPACT patient was enrolled, matched PACT patients were then contacted for recruitment using pre-assigned priority categories based on the distance function; if eligible and consented, patients were enrolled and followed with telephone surveys for 18 months.

RESULTS

We successfully enrolled 275 matched dyads in near real-time, with a median time of 7 days between enrolling a GeriPACT patient and a closely matched PACT patient. Standardized mean differences of < 0.2 among nearly all baseline variables indicates excellent baseline covariate balance. Exceptional balance on survey-collected baseline covariates not available at the time of matching suggests our procedure successfully controlled many known, but administratively unobserved, drivers of entrance to GeriPACT.

CONCLUSIONS

We present an important process to prospectively evaluate the effects of different treatments when randomization is infeasible and provide guidance to researchers who may be interested in implementing a similar approach. Rich matching variables from the pre-treatment period that reflect treatment assignment mechanisms create a high quality comparison group from which to recruit. This design harnesses the power of national administrative data coupled with collection of patient reported outcomes, enabling rigorous evaluation of non-randomized programs or policies.