Fee-for-Service Medicare-Enrolled Elderly Veterans Are Increasingly Voting with Their Feet to Use More VA and Less Medicare, 2003-2014

Rates of diagnosis and service utilization in veterans with hoarding disorder

Hoarding Disorder (HD) is a prominent and disabling neuropsychiatric condition defined by the inability to discard objects resulting in impairing levels of clutter. The prevalence rate is 2-6 % and increases with age. The aging Veteran population is a high risk group for impairment associated with HD. Medical and psychiatric comorbidities as well as associated rates of disability and poor quality of life are very common in both HD and the related disorder of OCD. We examined rates of HD and OCD diagnoses at the VA San Diego Healthcare System. Data were obtained from medical records for all Veterans with these diagnoses over 8-years and included information on medical and psychiatric care, homelessness services, and Care Assessment Needs (CAN) scores. Rates of diagnosis for both HD and OCD were well below epidemiological estimates. Veterans with HD were older, had higher rates of medical hospital admissions with longer stays; had more cardiac, neurological, and acquired medical conditions; had more psychiatric comorbidities; had more interactions with the suicide prevent team and homelessness services; and had higher CAN scores than Veterans with OCD. The low rate of diagnosis and high services utilization of Veterans with HD demonstrates an area of unmet need.

High-Intensity Care for Nursing Home Residents with Severe Dementia Hospitalized at the End of Life: A Mixed Methods Study

OBJECTIVE

For nursing home residents with severe dementia, high-intensity medical treatment offers little possibility of benefit but has the potential to cause significant distress. Nevertheless, mechanical ventilation and intensive care unit (ICU) transfers have increased in this population. We sought to understand how and why such care is occurring.

DESIGN

Mixed methods study, with retrospective collection of qualitative and quantitative data.

SETTING

Department of Veterans Affairs (VA) hospitals.

METHODS

Using the Minimum Data Set, we identified veterans aged ≥65 years who had severe dementia, lived in nursing homes, and died in 2013. We selected those who underwent mechanical ventilation or ICU transfer in the last 30 days of life. We restricted our sample to patients receiving care at VA hospitals because these hospitals share an electronic medical record, from which we collected structured information and constructed detailed narratives of how medical decisions were made. We used qualitative content analysis to identify distinct paths to high-intensity treatment in these narratives.

RESULTS

Among 163 veterans, 41 (25.2%) underwent mechanical ventilation or ICU transfer. Their median age was 85 (IQR, 80-94), 97.6% were male, and 67.5% were non-Hispanic white. More than a quarter had living wills declining some or all treatment. There were 5 paths to high-intensity care. The most common (18 of 41 patients) involved families who struggled with decisions. Other patients (15 of 41) received high-intensity care reflexively, before discussion with a surrogate. Four patients had families who advocated repeatedly for aggressive treatment, against clinical recommendations. In 2 cases, information about the patient's preferences was erroneous or unavailable. In 2 cases, there was difficulty identifying a surrogate.

CONCLUSIONS AND IMPLICATIONS

Our findings highlight the role of surrogates' difficulty with decision making and of health system-level factors in end-of-life ICU transfers and mechanical ventilation among nursing home residents with severe dementia.

Characteristics of Veterans With Depression Who Use the Veterans Choice Program of the Veterans Health Administration

OBJECTIVE

The Veterans Choice Program (VCP) of the Veterans Health Administration (VHA) allowed eligible veterans to use their benefits with participating providers outside the VHA. The authors aimed to identify characteristics of veterans with depression who used or did not use mental health care through the VCP.

METHODS

In this cross-sectional study, the authors analyzed secondary data from the national VHA Corporate Data Warehouse. VHA administrative data were linked with VCP claims to examine characteristics of VCP-eligible veterans with depression. The study sample included 595,943 unique veterans who were enrolled in the VHA before 2013, were eligible for the VCP in 2016, were alive in 2018, and had an assessed Patient Health Questionnaire-9 (PHQ-9) score or depressive disorder diagnosis documented in the VHA between 2016 and 2018.

RESULTS

Veterans who used the VCP had lower medical comorbidity scores and lived in less socioeconomically disadvantaged counties, compared with veterans who received only VHA care. VCP veterans were also more likely to have a PHQ-9 score assessment and to have higher mean depression scores. Mean counts of annual mental health visits per 1,000 veterans were markedly higher for direct VHA care than for care provided via the VCP. As a percentage of the total counts of visits per 1,000 veterans across the VCP and VHA, residential programs and outpatient procedures were the services that were most frequently delivered through the VCP.

CONCLUSIONS

Between 2016 and 2018, the VCP was used primarily to augment mental health care provided by the VHA, rather than to fill a gap in care.

Is There a VA Advantage? Evidence from Dually Eligible Veterans

We study public versus private provision of health care for veterans aged 65 and older who may receive care provided by the US Department of Veterans Affairs (VA) and in private hospitals financed by Medicare. Utilizing the ambulance design of Doyle et al. (2015), we find that the VA reduces 28-day mortality by 46 percent (4.5 percentage points) and that these survival gains are persistent. The VA also reduces 28-day spending by 21 percent and delivers strikingly different reported services relative to private hospitals. We find suggestive evidence of complementarities between continuity of care, health IT, and integrated care.

Intensive care management for high-risk veterans in a patient-centered medical home - do some veterans benefit more than others?

BACKGROUND

Primary care intensive management programs utilize interdisciplinary care teams to comprehensively meet the complex care needs of patients at high risk for hospitalization. The mixed evidence on the effectiveness of these programs focuses on average treatment effects that may mask heterogeneous treatment effects (HTEs) among subgroups of patients. We test for HTEs by patients' demographic, economic, and social characteristics.

METHODS

Retrospective analysis of a VA randomized quality improvement trial. 3995 primary care patients at high risk for hospitalization were randomized to primary care intensive management (n = 1761) or usual primary care (n = 1731). We estimated HTEs on ED and hospital utilization one year after randomization using model-based recursive partitioning and a pre-versus post-with control group framework. Splitting variables included administratively collected demographic characteristics, travel distance, copay exemption, risk score for future hospitalizations, history of hospital discharge against medical advice, homelessness, and multiple residence ZIP codes.

RESULTS

There were no average or heterogeneous treatment effects of intensive management one year after enrollment. The recursive partitioning algorithm identified variation in effects by risk score, homelessness, and whether the patient had multiple residences in a year. Within each distinct subgroup, the effect of intensive management was not statistically significant.

CONCLUSIONS

Primary care intensive management did not affect acute care use of high-risk patients on average or differentially for patients defined by various demographic, economic, and social characteristics.

IMPLICATIONS

Reducing acute care use for high-risk patients is complex, and more work is required to identify patients positioned to benefit from intensive management programs.

Community care emergency room use and specialty care leakage from Veterans Health Administration hospitals

BACKGROUND

Care leakage from health systems can affect quality and cost of health care delivery. Identifying modifiable predictors of care leakage may help health systems avoid adverse consequences. Out-of-system emergency department (ED) use may be one modifiable cause of care leakage. Our objective was to investigate the relationship between out-of-system ED use and subsequent specialty care leakage.

METHODS

We used the Veterans Health Administration's (VA) Corporate Data Warehouse data from January 2021 to July 2021. A total of 330,547 patients who had at least one ED visit (in-house or community care [CC]) in the index period (January 2021-March 2021) were included. Outcomes were the proportions of specialty care visits in the community within 30, 60, 90, and 120 days from the index ED visit. Instrumental-variables regressions, using VA ED physician capacity as an instrument for Veterans' CC ED use, were utilized to estimate the proportions of subsequent specialty care visits in the community. Estimates were adjusted for patient and facility characteristics.

RESULTS

A CC ED visit was associated with increases in the proportions of specialty care visits in the community within 30, 60, 90, and 120 days from index visit. Within 30 days from index visit, CC ED patients were estimated to have a 45-percentage-point (pp; 95% confidence interval [CI], 43-47 pp) higher proportion of CC specialty care visits than patients with an in-house ED visit (p < 0.001). We observed similar, though slightly attenuated, results over long time periods since the index visit.

CONCLUSIONS

Veterans who have a CC ED visit have a greater proportion of subsequent specialty care visits in CC hospitals and clinics than Veterans with a VA ED visit. This relationship persists when we examine Veterans whose decision to go to a CC ED is influenced by VA ED physician capacity rather than general preferences for CC.

Comparing mental and physical health of U.S. veterans by VA healthcare use: implications for generalizability of research in the VA electronic health records

OBJECTIVE

The Department of Veterans Affairs' (VA) electronic health records (EHR) offer a rich source of big data to study medical and health care questions, but patient eligibility and preferences may limit generalizability of findings. We therefore examined the representativeness of VA veterans by comparing veterans using VA healthcare services to those who do not.

METHODS

We analyzed data on 3051 veteran participants age ≥ 18 years in the 2019 National Health Interview Survey. Weighted logistic regression was used to model participant characteristics, health conditions, pain, and self-reported health by past year VA healthcare use and generate predicted marginal prevalences, which were used to calculate Cohen's d of group differences in absolute risk by past-year VA healthcare use.

RESULTS

Among veterans, 30.4% had past-year VA healthcare use. Veterans with lower income and members of racial/ethnic minority groups were more likely to report past-year VA healthcare use. Health conditions overrepresented in past-year VA healthcare users included chronic medical conditions (80.6% vs. 69.4%, d = 0.36), pain (78.9% vs. 65.9%; d = 0.35), mental distress (11.6% vs. 5.9%; d = 0.47), anxiety (10.8% vs. 4.1%; d = 0.67), and fair/poor self-reported health (27.9% vs. 18.0%; d = 0.40).

CONCLUSIONS

Heterogeneity in veteran sociodemographic and health characteristics was observed by past-year VA healthcare use. Researchers working with VA EHR data should consider how the patient selection process may relate to the exposures and outcomes under study. Statistical reweighting may be needed to generalize risk estimates from the VA EHR data to the overall veteran population.

How Did Veterans' Reliance on Veterans Health Administration Outpatient Care Change After Expansion of the Veterans Community Care Program?

BACKGROUND

The Veterans Community Care Program (VCCP) aims to address access constraints in the Veterans Health Administration (VA) by reimbursing care from non-VA community providers. Little existing research explores how veterans' choice of VA versus VCCP providers has evolved as a significant VCCP expansion in 2014 as part of the Veterans Access, Choice, and Accountability Act.

OBJECTIVES

We examined changes in reliance on VA for primary care (PC), mental health (MH), and specialty care (SC) among VCCP-eligible veterans.

RESEARCH DESIGN

We linked VA administrative data with VCCP claims to retrospectively examine utilization during calendar years 2016-2018.

SUBJECTS

1.78 million veterans enrolled in VA before 2013 and VCCP-eligible in 2016 due to limited VA capacity or travel hardship.

MEASURES

We measured reliance as the proportion of total annual outpatient (VA+VCCP) visits occurring in VA for PC, MH, and SC.

RESULTS

Of the 26.1 million total outpatient visits identified, 45.6% were for MH, 29.9% for PC, and 24.4% for SC. Over the 3 years, 83.2% of veterans used any VA services, 23.8% used any VCCP services, and 20.0% were dual VA-VCCP users. Modest but statistically significant declines in reliance were observed from 2016-2018 for PC (94.5%-92.2%), and MH (97.8%-96.9%), and a more significant decline was observed for SC (88.5%-79.8%).

CONCLUSIONS

Veterans who have the option of selecting between VA or VCCP providers continued using VA for most of their outpatient care in the initial years after the 2014 VCCP expansion.

Perspectives on Training and Working in the VHA: Implications for Primary Care Physician Recruitment and Retention

PURPOSE

The primary care physician shortage in the United States presents significant challenges for health systems seeking to maintain a sufficient primary care workforce. Perspectives on training or working in primary care in the Veterans Health Administration (VHA) may yield insights into strategic recruitment to make the VHA and other health systems more attractive to primary care physicians. The authors sought to understand the experiences of resident and staff physicians with limited tenure within VHA primary care to identify factors to guide health systems in improving recruitment and retention.

METHOD

This qualitative exploratory study was conducted from June 2018 to October 2019 with 24 internal medicine residents and 30 staff physicians in VHA primary care. Heterogeneity was ensured by sampling for geographical region, rurality, and gender within each cohort. The authors conducted semistructured interviews to ascertain perspectives on training and employment preferences at VHA and non-VHA sites. Combined content analysis was used to generate findings.

RESULTS

The authors identified 4 key themes, centered around shared values and the VHA's mission-driven culture: the VHA "community" was perceived as unique and a major contributor to job satisfaction; facility-level leadership support was important to perceptions of workplace culture around harassment; the VHA primary care delivery model allowed residents and staff physicians to get patients needed care but did not always live up to its potential; and VHA employment was better than expected, but the process of getting hired was a challenge.

CONCLUSIONS

Mission and workplace culture may serve important roles in the desirability of health systems for prospective physicians and the job satisfaction of physicians who work in these systems. Physician recruitment efforts based on these attributes may yield the most success in maintaining a sufficient physician workforce.

Anticipating VA/non-VA care coordination demand for Veterans at high risk for hospitalization

U.S. Veterans Affairs (VA) patients' multi-system use can create challenges for VA clinicians who are responsible for coordinating Veterans' use of non-VA care, including VA-purchased care ("Community Care") and Medicare.To examine the relationship between drive distance and time-key eligibility criteria for Community Care-and VA reliance (proportion of care received in VA versus Medicare and Community Care) among Veterans at high risk for hospitalization. We used prepolicy data to anticipate the impact of the 2014 Choice Act and 2018 Maintaining Internal Systems and Strengthening Integrated Outside Networks Act (MISSION Act), which expanded access to Community Care.Cross-sectional analysis using fractional logistic regressions to examine the relationship between a Veteran's reliance on VA for outpatient primary, mental health, and other specialty care and their drive distance/time to a VA facility.Thirteen thousand seven hundred three Veterans over the age of 65 years enrolled in VA and fee-for-service Medicare in federal fiscal year 2014 who were in the top 10th percentile for hospitalization risk.Key explanatory variables were patients' drive distance to VA > 40 miles (Choice Act criteria) and drive time to VA ≥ 30 minutes for primary and mental health care and ≥60 minutes for specialty care (MISSION Act criteria).Veterans at high risk for hospitalization with drive distance eligibility had increased odds of an outpatient specialty care visit taking place in VA when compared to Veterans who did not meet Choice Act eligibility criteria (odds ratio = 1.10, 95% confidence interval 1.05-1.15). However, drive time eligibility (MISSION Act criteria) was associated with significantly lower odds of an outpatient specialty care visit taking place in VA (odds ratio = 0.69, 95% confidence interval 0.67, 0.71). Neither drive distance nor drive time were associated with reliance for outpatient primary care or mental health care.VA patients who are at high risk for hospitalization may continue to rely on VA for outpatient primary care and mental health care despite access to outside services, but may increase use of outpatient specialty care in the community in the MISSION era, increasing demand for multi-system care coordination.

Improvements and Gaps in Financial Risk Protection Among Veterans Following the Affordable Care Act

BACKGROUND

Despite public perception, most of the nearly 20 million US veterans have health coverage outside the Veterans Health Administration (VHA), and VHA eligibility and utilization vary across veterans. Out-of-pocket healthcare spending thus remains a potential source of financial hardship for veterans. The Affordable Care Act (ACA) aimed to expand health insurance access, but its effect on veterans' financial risk protection has not been explored.

OBJECTIVE

To evaluate whether ACA implementation was associated with changes in veterans' risk of catastrophic health expenditures, and to characterize drivers of catastrophic health spending among veterans post-ACA.

DESIGN

Using multivariable linear probability regression, we examined changes in likelihood of catastrophic health spending after ACA implementation, stratifying by age (18-64 vs 65+), household income tercile, and payer (VHA vs non-VHA). Among veterans with catastrophic spending post-ACA, we evaluated sources of out-of-pocket spending.

PARTICIPANTS

Nationally representative sample of 13,030 veterans aged 18+ from the 2010 to 2017 Medical Expenditure Panel Survey.

INTERVENTION

ACA implementation, January 1, 2014.

MAIN MEASURES

Likelihood of catastrophic health expenditures, defined as household out-of-pocket spending exceeding 10% of household income.

KEY RESULTS

Among veterans aged 18-64, ACA implementation was associated with a 26% decrease in likelihood of catastrophic health expenditures (absolute change, -1.4 percentage points [pp]; 95% CI, -2.6 to -0.2; p=0.03), which fell from 5.4% pre-ACA to 3.9% post-ACA. This was driven by a 38% decrease in catastrophic spending among veterans with non-VHA coverage (absolute change, -1.8pp; 95% CI, -3.0 to -0.6; p=0.003). In contrast, catastrophic expenditure rates among veterans aged 65+ remained high, at 13.0% pre- and 12.5% post-ACA. Major drivers of veterans' spending post-ACA include dental care, prescription drugs, and home care.

CONCLUSIONS

ACA implementation was associated with reduced household catastrophic health expenditures for younger but not older veterans. These findings highlight gaps in veterans' financial protection and areas amenable to policy intervention.

Antibiotic exposure and acquisition of antibiotic-resistant gram-negative bacteria among outpatients at a US Veterans Affairs medical center

Objectives:

To assess the prevalence of antibiotic-resistant gram-negative bacteria (R-GNB) among patients without recent hospitalization and to examine the influence of outpatient antibiotic exposure on the risk of acquiring R-GNB in this population.

Design:

2-year retrospective cohort study.

Setting:

Regional Veterans Affairs healthcare system.

Patients:

Outpatients at 13 community-based clinics.

Methods:

We examined the rate of acquisition of R-GNB within 90 days following an outpatient visit from 2018 to 2019. We used clinical and administrative databases to determine and summarize prescriptions for systemic antibiotics, associated infectious diagnoses, and subsequent R-GNB acquisition among patients without recent hospitalizations. We also calculated the odds ratio of R-GNB acquisition following antibiotic exposure.

Results:

During the 2-year study period, 7,215 patients had outpatient visits with microbiological cultures obtained within 90 days. Of these patients, 206 (2.9%) acquired an R-GNB. Among patients receiving antibiotics at the visit, 4.6% acquired a R-GNB compared to 2.7% among patients who did not receive antibiotics, yielding an unadjusted odds ratio of 1.75 (95% confidence interval, 1.18–2.52) for a R-GNB following an outpatient visit with versus without an antibiotic exposure. Regardless of R-GNB occurrence, >50% of antibiotic prescriptions were issued at visits without an infectious disease diagnosis or issued without documentation of an in-person or telehealth clinical encounter.

Conclusions:

Although the rate of R-GNBs was low (2.9%), the 1.75-fold increased odds of acquiring a R-GNB following an outpatient antibiotic highlights the importance of antimicrobial stewardship efforts in outpatient settings. Specific opportunities include reducing antibiotics prescribed without an infectious diagnosis or a clinical visit.

Benzodiazepine Prescribing from VA and Medicare to Dually Enrolled Older Veterans: A Retrospective Cohort Study

BACKGROUND

There has been a reduction in BZD prescribing in the Veterans Affairs (VA) health care system since 2013. It is unknown whether the decline in VA-dispensed BZDs has been offset by Medicare Part D prescriptions.

OBJECTIVES

To examine (1) whether, accounting for Part D, declines in BZD prescribing to older Veterans remain; (2) patient characteristics associated with obtaining BZDs outside VA and facility variation in BZD source (VA only, VA and Part D, Part D only).

DESIGN

Retrospective cohort study with mixed effects multinomial logistic model examining characteristics associated with BZD source.

PATIENTS

A total of 1,746,278 Veterans aged ≥65 enrolled in VA and Part D, 2013-2017.

MAIN MEASURES

BZD prescription prevalence and source.

KEY RESULTS

From January 2013 to June 2017, the quarterly prevalence of older Veterans with Part D filling BZD prescriptions through the VA declined from 5.2 to 3.1% (p<0.001) or, accounting for Part D, from 10.0 to 7.7% (p<0.001). Among those prescribed BZDs between July 2016 and June 2017, 37.0%, 10.2%, and 52.8% received prescriptions from VA only, both VA and Part D, or Part D only, respectively. Older age was associated with higher odds of obtaining BZDs through Part D (e.g., compared to those 65-74, Veterans ≥85 had adjusted odds ratio [AOR] for Part D vs. VA only of 1.8 [95% highest posterior density interval (HPDI), 1.69, 1.86]). Veterans with substance use disorders accounted for few BZD prescriptions from any source but were associated with higher odds of prescriptions through Part D (e.g., alcohol use disorder AOR for Part D vs. VA alone: 1.9 [95% HPDI, 1.63, 2.11]) CONCLUSIONS: The decline in BZD use by older Veterans with Part D coverage remained after accounting for Part D, but the majority of BZD prescriptions came from Medicare. Further reducing BZD prescribing to older Veterans should consider prescriptions from community sources.

Association between acute psychiatric bed availability in the Veterans Health Administration and veteran suicide risk: a retrospective cohort study

BACKGROUND

Veteran suicides have increased despite mental health investments by the Veterans Health Administration (VHA).

OBJECTIVE

To examine relationships between suicide and acute inpatient psychiatric bed occupancy and other community, hospital and patient factors.

METHODS

Retrospective cohort study using administrative and publicly available data for contextual community factors. The study sample included all veterans enrolled in VHA primary care in 2011-2016 associated with 111 VHA hospitals with acute inpatient psychiatric units. Acute psychiatric bed occupancy, as a measure of access to care, was the main exposure of interest and was categorised by quarter as per cent occupied using thresholds of ≤85%, 85.1%-90%, 90.1%-95% and >95%. Hospital-level analyses were conducted using generalised linear mixed models with random intercepts for hospital, modelling number of suicides by quarter with a negative binomial distribution.

RESULTS

From 2011 to 2016, the national incidence of suicide among enrolled veterans increased from 39.7 to 41.6 per 100 000 person-years. VHA psychiatric bed occupancy decreased from a mean of 68.2% (IQR 56.5%-82.2%) to 65.4% (IQR 53.9%-79.9%). VHA hospitals with the highest occupancy (>95%) in a quarter compared with ≤85% had an adjusted incident rate ratio (IRR) for suicide of 1.10 (95% CI 1.01 to 1.19); no increased risk was observed for 85.1%-90% (IRR 0.96; 95% CI 0.89 to 1.03) or 90.1%-95% (IRR 0.96; 95% CI 0.89 to 1.04) compared with ≤85% occupancy. Of hospital and community variables, suicide risk was not associated with number of VHA or non-VHA psychiatric beds or amount spent on community mental health. Suicide risk increased by age categories, seasons, geographic regions and over time.

CONCLUSIONS

High VHA hospital occupancy (>95%) was associated with a 10% increased suicide risk for veterans whereas absolute number of beds was not, suggesting occupancy is an important access measure. Future work should clarify optimal bed occupancy to meet acute psychiatric needs and ensure adequate bed distribution.

Ethnicity/race and service-connected disability disparities in civilian traumatic brain injury mechanism of injury and VHA health services costs in military veterans: Evidence from a Level 1 Trauma Center and VA Medical Center

Introduction

The objective of this study was to examine the association of military veteran socio-demographics and service-connected disability with civilian mechanism of traumatic brain injury and long-term Veterans Health Administration (VHA) costs.

Methods

We conducted a 17-year retrospective longitudinal cohort study of veterans with a civilian-related traumatic brain injury from a Level 1 Trauma Center between 1999 and 2013, with VHA follow-up through 2016. We merged trauma center VHA data, and used logit to model mechanism of injury, and generalized linear model to model VHA costs.

Results

African American race or Hispanic ethnicity veterans had a higher unadjusted rate of civilian assault/gun as mechanism of injury (15.38%) relative to non-Hispanic White (7.19%). African American race or Hispanic veterans who were discharged from the trauma center with traumatic brain injury and followed in VHA had more than twice the odds of assault/gun (OR 2.47; 95% CI 1.16:5.26), after adjusting for sex, age, and military service-connected disability. Veterans with service-connected disability ≥50% had more than twice the odds of assault/gun (OR 2.48; 95% CI 0.97:6.31). Assault/gun was associated with significantly higher annual VHA costs post-discharge ($16,807; 95% CI 672:32,941) among non-Hispanic White veterans. Military service-connected disability ≥50% was associated with higher VHA costs among both non-Hispanic White ($44,987; 95% CI $17,159:$72,816) and African American race or Hispanic ($37,901; 95% CI $4,543:$71,258) veterans.

Conclusions

We found that African American race or Hispanic veterans had higher adjusted likelihood of assault/gun mechanism of traumatic brain injury, and non-Hispanic White veterans had higher adjusted annual VHA resource costs associated with assault/gun, post trauma center discharge. Veterans with higher than 50% service-connected disability had higher likelihood of assault/gun and higher adjusted annual VHA resource costs. Assault/gun prevention efforts may be indicated within the VHA, especially in minority and service-connected disability veterans. More data from Level 1 Trauma Centers are needed to assess the generalizability of these findings.

Testing a tailored weight management program for veterans with PTSD: The MOVE! + UP randomized controlled trial

Post-traumatic stress disorder (PTSD), prevalent among Veterans, increases risk for having a high Body Mass Index. Although the Veterans Health Administration (VHA) offers an evidence-based behavioral weight management program called MOVE!, participants with PTSD lose less weight than those without mental health conditions, despite comparable participation. PTSD symptoms can interfere with one's ability to be physically active and maintain a healthy diet, the key targets in weight management programs. We developed and piloted a behavioral weight management program called MOVE! + UP that targets PTSD-related weight loss barriers. MOVE! + UP includes 16 group sessions with training in evidence-based weight management strategies, coupled with Cognitive Behavior Therapy (CBT) skills to address PTSD-specific barriers. The 16 sessions also include 30-min community walks to address PTSD-related barriers that may impede exercise. Two individual dietician sessions are provided. This hybrid type 1 randomized controlled trial (RCT) will compare MOVE! + UP to standard care-MOVE!-among 164 Veterans with BMI ≥ 25 who are receiving care for PTSD. We will randomize participants to MOVE! + UP or standard care and will compare absolute post-baseline change in weight at 6 (primary outcome) and 12 (secondary outcome) months, and PTSD symptom severity at 6 and 12 months (secondary outcome). Exploratory analyses will compare the treatment conditions on treatment targets measured at 6 months (e.g., physical activity, eating behavior, social support). Finally, we will estimate intervention costs, and identify MOVE! + UP implementation barriers and facilitators. If effective, MOVE! + UP could be an efficient way to simultaneously address physical and mental health for Veterans with PTSD.

Veterans' Use of Veterans Health Administration Primary Care in an Era of Expanding Choice

BACKGROUND

The Veterans Choice Program (VCP), aimed at improving access to care, included expanded options for Veterans to receive primary care through community providers.

OBJECTIVES

The objective of this study was to characterize and compare Veterans use of Veterans Health Administration (VA) primary care services at VA facilities and through a VA community care network (VA-CCN) provider.

RESEARCH DESIGN

This was a retrospective, observational over fiscal years (FY) 2015-2018.

SUBJECTS

Veterans receiving primary care services paid for by the VA.

MEASURES

Veteran demographic, socioeconomic and clinical factors and use of VA primary care services under the VCP each year.

RESULTS

There were 6.3 million Veterans with >54 million VA primary care visits, predominantly (98.5% of visits) at VA facility. The proportion of VA-CCN visits increased in absolute terms from 0.7% in 2015 to 2.6% in 2018. Among Veterans with any VA-CCN primary care, the proportion of VA-CCN visits increased from 22.6% to 55.3%. Logistic regression indicated that Veterans who were female, lived in rural areas, had a driving distance >40 miles, had health insurance or had a psychiatric/depression condition were more likely to receive VA-CCN primary care. Veterans who were older, identified as Black race, required to pay VA copayments, or had a higher Nosos score, were less likely to receive VA-CCN primary care.

CONCLUSION

As the VA transitions from the VCP to MISSION and VA facilities gain experience under the new contracts, attention to factors that impact Veterans' use of primary care services in different settings are important to monitor to identify access barriers and to ensure Veterans' health care needs are met.

Van Houtven C, Cornell P, Aron D, M. Dosa D, M. Allen S. Inequities in access to VA'S aid and attendance enhanced pension benefit to help Veterans pay for long-term care

OBJECTIVE

To examine characteristics that are associated with receipt of Aid and Attendance (A&A), an enhanced pension benefit for Veterans who qualify on the basis of needing daily assistance, among Veterans who receive pensions.

DATA SOURCES

Secondary data analysis of 2016-2017 national VA administrative data linked with Medicare claims.

STUDY DESIGN

Observational study examining sociodemographic, medical, and healthcare utilization characteristics associated with receipt of A&A among Veterans receiving pension.

PRINCIPAL FINDINGS

In 2017, 9.7% of Veterans with pension newly received the A&A benefit. The probability of receiving A&A among black and Hispanic pensioners was 4.6 percentage points lower than for white pensioners (95%CI = -0.051, -0.042). Married Veterans receiving pension had a 4.4-percentage point higher probability of receiving A&A (95%CI = 0.039, 0.048). Most indicators of need for assistance (eg, home health utilization, dementia, stroke) were associated with significantly higher probabilities of receiving A&A, with notable exceptions: pensioners with a diagnosis of Post-Traumatic Stress Disorder (marginal effect = -0.029 95%CI = -0.037, -0.021) or enrolled in Medicaid (marginal effect = -0.053, 95%CI = -0.057, -0.050) had lower probabilities of receiving A&A. Unadjusted and adjusted rates of receiving A&A among Veterans receiving pension varied by VA medical center.

CONCLUSIONS

This study identified potential inequities in receipt of the A&A enhanced pension among a sample of Veterans receiving pension. Increased Veteran outreach, provider education, and VA office coordination can potentially reduce inequities in access to this benefit.

Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers

The datasets summarized in this article include more than 38 million appointment wait times that U.S. military veterans experienced when seeking medical care since January 2014. Our data include both within Veterans Health Administration (VHA) facilities and community medical centers, and wait times are stratified by primary/specialty care type. Deidentified wait time data are reported at the referral-level, at the VHA facility-level, and at the patient's 3-digit ZIP code-level.

As of this writing, no other U.S. health care system has made their wait times publicly available. Our data thus represent the largest, national, and most representative measures of timely access to care for patients of both VHA and community providers. Researchers may use these datasets to identify variations in appointment wait times both longitudinally and cross-sectionally, conduct research on policies and interventions to improve access to care, and to incorporate fine-grained measures of wait times into their analyses.

Perceptions of event notification following discharge to improve geriatric care: qualitative interviews of care team members from a 2-site cluster randomized trial

OBJECTIVE

To assess primary care teams' perceptions of a health information exchange (HIE) event notification intervention for geriatric patients in 2 Veterans Health Administration (VHA) medical centers.

MATERIALS AND METHODS

We conducted a qualitative evaluation of an event notification alerting primary care teams to non-VHA hospital admissions and emergency department visits. Data were collected through semistructured interviews (n = 23) of primary care team physicians, nurses and medical assistants. Study design and analysis were guided by the Consolidated Framework for Implementation Research (CFIR).

RESULTS

Team members found the alerts necessary, helpful for filling information gaps, and effective in supporting timely follow-up care, although some expressed concern over scheduling capacity and distinguishing alerts from other VHA notices. Participants also suggested improvements including additional data on patients' diagnosis and discharge instructions, timing alerts to patients' discharge (including clear next steps), including additional team members to ensure alerts were acted upon, and implementing a single sign-on.

DISCUSSION

Primary care team members perceived timely event notification of non-VHA emergency department visits and hospital admissions as potentially improving post-discharge follow-up and patient outcomes. However, they were sometimes unsure of next steps and suggested the alerts and platform could be streamlined for easier use.

CONCLUSIONS

Event notifications may be a valuable tool in coordinating care for high-risk older patients. Future intervention research should explore the optimal amount and types of information and delivery method across sites and test the integration of alerts into broader care coordination efforts.

Reasons Older Veterans Use the Veterans Health Administration and Non-VHA Care in an Urban Environment

BACKGROUND

Older veterans in urban settings rely less on the Veterans Health Administration (VHA) health care, suggesting deficits of access and services for aging veterans. We aimed to identify reasons for VHA and non-VHA use across the health status of older, urban-dwelling veterans.

METHODS

We examined open-ended responses from 177 veterans who were enrolled in primary care at the Bronx VA Medical Center, used non-VHA care in prior 2 years, and completed baseline interviews in a care coordination trial from March 2016 to August 2017. Using content analysis, we coded and categorized key terms and concepts into an established access framework. This framework included 5 categories: acceptability (relationship, second opinion), accessibility (distance, travel); affordability; availability (supply, specialty care); and accommodation (organization, wait-time). Self-reported health status was stratified by excellent/very good, good, and fair/poor.

RESULTS

We were able to categorize the responses of 166 veterans, who were older (≥75 years, 61%), minority race and ethnicity (77%), and low income (<$25,000/y, 51%). Veterans mentioned acceptability (42%) and accessibility (37%) the most, followed by affordability (33%), availability (25%), and accommodation (11%). With worse self-reported health status, accessibility intensified (excellent/very good, 24%; fair/poor, 46%; P = .031) particularly among minority veterans, while acceptability remained prominent (excellent/very good, 49%; fair/poor, 37%; P = .25). Other categories were mentioned less with no significant difference across health status.

CONCLUSIONS

Even in an urban environment, proximity was a leading issue with worse health. Addressing urban accessibility and coordination for older, sicker veterans may enhance care for a growing vulnerable VHA population.

Characteristics of Veterans With Non-VA Encounters Enrolled in a Trial of Standards-Based, Interoperable Event Notification and Care Coordination

INTRODUCTION

Understanding how veterans use Veterans Affairs (VA) for primary care and non-VA for acute care can help policy makers predict future health care resource use. We aimed to describe characteristics of veterans enrolled in a multisite clinical trial of non-VA acute event notifications and care coordination and to identify patient factors associated with non-VA acute care.

METHODS

Characteristics of 565 veterans enrolled in a prospective cluster randomized trial at the Bronx and Indianapolis VA Medical Centers were obtained by interview and chart review.

RESULTS

Veterans' mean age was 75.8 years old, 98.3% were male, and 39.2% self-identified as a minority race; 81.2% reported receiving the majority of care at the VA. There were 197 (34.9%) veterans for whom a non-VA acute care alert was received. Patient characteristics significantly associated with greater odds of a non-VA alert included older age (OR = 1.05; 95% CI, 1.04-1.05); majority of care received is non-VA (OR = 1.83; 95% CI, 1.06-3.15); private insurance (OR = 1.39; 95% CI, 1.19-1.62); and higher income (OR = 4.01; 95% CI, 2.68-5.98).

CONCLUSIONS

We identified several patient-level factors associated with non-VA acute care that can inform the design of VA services and policies for veterans with non-VA acute care encounters and reintegration back into the VA system.

End-of-Life Cost Trajectories in Cancer Patients Treated by Medicare versus the Veterans Health Administration

BACKGROUND/OBJECTIVES

To evaluate differences in end-of-life cost trajectories for cancer patients treated through Medicare versus by the Veterans Health Administration (VA).

DESIGN

A retrospective analysis of VA and Medicare administrative data from FY 2010 to 2014. We employed three-level generalized estimating equations to evaluate monthly cost trajectories experienced by patients in their last year of life, with patients nested within hospital referral region.

SETTING

Care received at VA facilities or by Medicare-reimbursed providers nationwide.

PARTICIPANTS

A total of 36,401 patients dying from cancer and dually enrolled in VA and Medicare.

MEASUREMENTS

We evaluated trajectories for total, inpatient, outpatient, and drug costs, using the last 12 months of life. Cost trajectories were prioritized as costs are not directly comparable across Medicare and VA. Patients were assigned to be VA-reliant, Medicare-reliant or Mixed-reliant based on their healthcare utilization in the last year of life.

RESULTS

All three groups experienced significantly different cost trajectories for total costs in the last year of life. Inpatient cost trajectories were significantly different between Medicare-reliant and VA-reliant patients, but did not differ between VA-reliant and Mixed-reliant patients. Outpatient and drug cost trajectories exhibited the inverse pattern: they were significantly different between VA-reliant and Mixed-reliant patients, but not between VA-reliant and Medicare-reliant patients. However, visual examination of cost trajectories revealed similar cost patterns in the last year of life among all three groups; there was a sharp rise in costs as patients approach death, largely due to inpatient care.

CONCLUSION

Despite substantially different financial incentives and organization, VA- and Medicare-treated patients exhibit similar patterns of increasing end-of-life costs, largely driven by inpatient costs. Both systems require improvement to ensure quality of end-of-life care is aligned with recommended practice.

Effects of State-level Medicaid Expansion on Veterans Health Administration Dual Enrollment and Utilization: Potential Implications for Future Coverage Expansions

OBJECTIVE

The objective of this study was to examine how pre-Affordable Care Act (ACA) state-level Medicaid expansions affect dual enrollment and utilization of Veterans Health Administration (VA) and Medicaid-funded care.

RESEARCH DESIGN

We employed difference-in-difference analysis to determine the association between pre-ACA Medicaid expansions in New York and Arizona in 2001 and VA utilization. Participants' dual enrollment in Medicaid and VA, the distribution of their annual hospital admissions and emergency department (ED) visits between VA and Medicaid were dependent variables. We controlled for age, race, sex, disease burden, distance to VA facilities and income-based eligibility for VA services.

MEASURES

Secondary data collected from 1999 to 2006 in 2 states expanding Medicaid and 3 demographically similar nonexpansion states. We obtained residency, enrollment and utilization data from VA's Corporate Data Warehouse and Medicaid Analytic Extract files.

RESULTS

For low-income Veterans, Medicaid expansion was associated with increased dual enrollment of 4.87 percentage points (99% confidence interval: 4.48-5.25), a 4.63-point decline in VA proportion of admissions (-5.87 to -3.38), and a 11.70-point decrease in the VA proportion of ED visits (-13.06 to -10.34). Results also showed increases in the number of total (VA plus Medicaid) annual per-capita hospitalizations and ED visits among the group of VA enrollees most likely to be eligible for expansion.

CONCLUSIONS

This study shows slight usage shifts when Veterans gain access to non-VA care. It highlights the need to overcome care-coordination challenges among VA patients as states implement ACA Medicaid expansion and policymakers consider additional expansions of public health insurance programs such as Medicare-for-All.

Use of General Primary Care, Specialized Primary Care, and Other Veterans Affairs Services Among High-Risk Veterans

IMPORTANCE

Integrated health care systems increasingly focus on improving outcomes among patients at high risk for hospitalization. Examining patterns of where patients obtain care could give health care systems insight into how to develop approaches for high-risk patient care; however, such information is rarely described.

OBJECTIVE

To assess use of general and specialized primary care, medical specialty, and mental health services among patients at high risk of hospitalization in the Veterans Health Administration (VHA).

DESIGN, SETTING, AND PARTICIPANTS

This national, population-based, retrospective cross-sectional study included all veterans enrolled in any type of VHA primary care service as of September 30, 2015. Data analysis was performed from April 1, 2016, to January 1, 2019.

EXPOSURES

Risk of hospitalization and assignment to general vs specialized primary care.

MAIN OUTCOME AND MEASURES

High-risk veterans were defined as those who had the 5% highest risk of near-term hospitalization based on a validated risk prediction model; all others were considered low risk. Health care service use was measured by the number of encounters in general primary care, specialized primary care, medical specialty, mental health, emergency department, and add-on intensive management services (eg, telehealth and palliative care).

RESULTS

The study assessed 4 309 192 veterans (mean [SD] age, 62.6 [16.0] years; 93% male). Male veterans (93%; odds ratio [OR], 1.11; 95% CI, 1.10-1.13), unmarried veterans (63%; OR, 2.30; 95% CI, 2.32-2.35), those older than 45 years (94%; 45-65 years of age: OR, 3.49 [95% CI, 3.44-3.54]; 66-75 years of age: OR, 3.04 [95% CI, 3.00-3.09]; and >75 years of age: OR, 2.42 [95% CI, 2.38-2.46]), black veterans (23%; OR, 1.63; 95% CI, 1.61-1.64), and those with medical comorbidities (asthma or chronic obstructive pulmonary disease: 33%; OR, 4.03 [95% CI, 4.00-4.06]; schizophrenia: 4%; OR, 5.14 [95% CI, 5.05-5.22]; depression: 42%; OR, 3.10 [95% CI, 3.08-3.13]; and alcohol abuse: 20%; OR, 4.54 [95% CI, 4.50-4.59]) were more likely to be high risk (n = 351 012). Most (308 433 [88%]) high-risk veterans were assigned to general primary care; the remaining 12% (42 579 of 363 561) were assigned to specialized primary care (eg, women's health and homelessness). High-risk patients assigned to general primary care had more frequent primary care visits (mean [SD], 6.9 [6.5] per year) than those assigned to specialized primary care (mean [SD], 6.3 [7.3] per year; P < .001). They also had more medical specialty care visits (mean [SD], 4.4 [5.9] vs 3.7 [5.4] per year; P < .001) and fewer mental health visits (mean [SD], 9.0 [21.6] vs 11.3 [23.9] per year; P < .001). Use of intensive supplementary outpatient services was low overall.

CONCLUSIONS AND RELEVANCE

The findings suggest that, in integrated health care systems, approaches to support high-risk patient care should be embedded within general primary care and mental health care if they are to improve outcomes for high-risk patient populations.

Patient experience of health care system hassles: Dual-system vs single-system users

OBJECTIVE

To compare health care system problems or "hassles" experienced by Veterans receiving VA health care only versus those receiving dual care from both VA and non-VA community providers.

DATA SOURCES

We collected survey data in 2017-2018 from 2444 randomly selected Veterans with four or more primary care visits in the prior year at one of 12 VA primary care clinics located in four geographically diverse regions of the United States.

STUDY DESIGN

We used baseline surveys from the Coordination Toolkit and Coaching quality improvement project to explore Veterans' experience of hassles (dependent variable), source of health care, self-rated physical and mental health, and sociodemographics.

DATA COLLECTION

Participants responded to mailed surveys by mail, telephone, or online.

PRINCIPAL FINDINGS

The number of reported hassles ranged from 0 to 16; 79 percent of Veterans reported experiencing one or more hassles. Controlling for sociodemographic characteristics and self-rated physical and mental health, zero-inflated negative binominal regression indicated that dual care users experienced more hassles than VA-only users (adjusted predicted average 5.5 [CI: 5.2, 5.8] vs 4.3 [CI: 4.1, 4.6] hassles [P < .0001]).

CONCLUSIONS

Anticipated increases in Veterans accessing community-based care may require new strategies to help VA primary care teams optimize care coordination for dual care users.

Events Associated With Changes in Reliance on the Veterans Health Administration Among Medicare-eligible Veterans

OBJECTIVES

We can learn something about how Veterans value the Veterans Health Administration (VHA) versus community providers by observing Veterans' choices between VHA and Medicare providers after they turn 65. For a cohort of Veterans who were newly age-eligible for Medicare, we estimated the change in VHA reliance (VHA outpatient visits divided by total VHA and Medicare visits) associated with specific events: receiving a life-threatening diagnosis, having a Medicare-paid hospitalization, or moving further from the VHA.

RESEARCH DESIGN

A longitudinal cohort study of VHA and Medicare administrative data.

SUBJECTS

A total of 5932 VHA users who completed a health survey in 1999 and became age-eligible for Medicare from 1998 to 2000 were followed through 2016.

PRINCIPAL FINDINGS

More Veterans chose to rely on the VHA than Medicare (64% vs. 36.%). For a VHA-reliant Veteran, a Medicare-paid hospital stay was associated with a decrease of 7.8 percentage points (pps) (P<0.001) in VHA reliance in the subsequent 12 months, but by 36 months reliance increased to near prehospitalization levels (-1.5 pps; P=0.138). Moving further from the VHA, or receiving a diagnosis of cancer, heart failure, or renal failure had no significant association with subsequent VHA reliance; however, a diagnosis of dementia was associated with a decrease in VHA reliance (-8.6 pps; P=0.026).

CONCLUSIONS

A significant majority of newly Medicare-eligible VHA users voted with their feet in favor of sustaining the VHA as a provider of comprehensive medical care for Veterans. These VHA-reliant Veterans maintained their reliance even after receiving a life-threatening diagnosis, and after experiencing Medicare-provided hospital care.

Outcomes of primary care delivery by nurse practitioners: Utilization, cost, and quality of care

OBJECTIVE

To examine whether nurse practitioner (NP)-assigned patients exhibited differences in utilization, costs, and clinical outcomes compared to medical doctor (MD)-assigned patients.

DATA SOURCES

Veterans Affairs (VA) administrative data capturing characteristics, outcomes, and provider assignments of 806 434 VA patients assigned to an MD primary care provider (PCP) who left VA practice between 2010 and 2012.

STUDY DESIGN

We applied a difference-in-difference approach comparing outcomes between patients reassigned to MD and NP PCPs, respectively. We examined measures of outpatient (primary care, specialty care, and mental health) and inpatient (total and ambulatory care sensitive hospitalizations) utilization, costs (outpatient, inpatient and total), and clinical outcomes (control of hemoglobin A1c, LDL, and blood pressure) in the year following reassignment.

PRINCIPAL FINDINGS

Compared to MD-assigned patients, NP-assigned patients were less likely to use primary care and specialty care services and incurred fewer total and ambulatory care sensitive hospitalizations. Differences in costs, clinical outcomes, and receipt of diagnostic tests between groups were not statistically significant.

CONCLUSIONS

Patients reassigned to NPs experienced similar outcomes and incurred less utilization at comparable cost relative to MD patients. NPs may offer a cost-effective approach to addressing anticipated shortages of primary care physicians.

Does machine learning improve prediction of VA primary care reliance?

OBJECTIVES

The Veterans Affairs (VA) Health Care System is among the largest integrated health systems in the United States. Many VA enrollees are dual users of Medicare, and little research has examined methods to most accurately predict which veterans will be mostly reliant on VA services in the future. This study examined whether machine learning methods can better predict future reliance on VA primary care compared with traditional statistical methods.

STUDY DESIGN

Observational study of 83,143 VA patients dually enrolled in fee-for-service Medicare using VA and Medicare administrative databases and the 2012 Survey of Healthcare Experiences of Patients.

METHODS

The primary outcome was a dichotomous measure denoting whether patients obtained more than 50% of all primary care visits (VA + Medicare) from VA. We compared the performance of 6 candidate models-logistic regression, elastic net regression, decision trees, random forest, gradient boosting machine, and neural network-in predicting 2013 reliance as a function of 61 patient characteristics observed in 2012. We measured performance using the cross-validated area under the receiver operating characteristic (AUROC) metric.

RESULTS

Overall, 72.9% and 74.5% of veterans were mostly VA reliant in 2012 and 2013, respectively. All models had similar average AUROCs, ranging from 0.873 to 0.892. The best-performing model used gradient boosting machine, which exhibited modestly higher AUROC and similar variance compared with standard logistic regression.

CONCLUSIONS

The modest gains in performance from the best-performing model, gradient boosting machine, are unlikely to outweigh inherent drawbacks, including computational complexity and limited interpretability compared with traditional logistic regression.

Predicting Primary Care Use Among Patients in a Large Integrated Health System: The Role of Patient Experience Measures

OBJECTIVE

Most Veterans Affairs (VA) Health Care System enrollees age 65+ also have the option of obtaining care through Medicare. Reliance upon VA varies widely and there is a need to optimize its prediction in an era of expanding choice for veterans to obtain care within or outside of VA. We examined whether survey-based patient-reported experiences improved prediction of VA reliance.

METHODS

VA and Medicare claims in 2013 were linked to construct VA reliance (proportion of all face-to-face primary care visits), which was dichotomized (=1 if reliance >50%). We predicted reliance in 83,143 Medicare-eligible veterans as a function of 61 baseline characteristics in 2012 from claims and the 2012 Survey of Healthcare Experiences of Patients. We estimated predictive performance using the cross-validated area under the receiver operating characteristic (AUROC) curve, and assessed variable importance using the Shapley value decomposition.

RESULTS

In 2012, 68.9% were mostly VA reliant. The AUROC for the model including claims-based predictors was 0.882. Adding patient experience variables increased AUROC to 0.890. The pseudo R for the full model was 0.400. Baseline reliance and patient experiences accounted for 72.0% and 11.1% of the explained variation in reliance. Patient experiences related to the accessibility of outpatient services were among the most influential predictors of reliance.

CONCLUSION

The addition of patient experience variables slightly increased predictive performance. Understanding the relative importance of patient experience factors is critical for informing what VA reform efforts should be prioritized following the passage of the 2018 MISSION Act.

Health System and Beneficiary Costs Associated With Intensive End-of-Life Medical Services

IMPORTANCE

Despite recommendations to reduce intensive medical treatment at the end of life, many patients with cancer continue to receive such services.

OBJECTIVE

To quantify expected beneficiary and health system costs incurred in association with receipt of intensive medical services in the last month of life.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study used data collected nationally from Medicare and the Veterans Health Administration for care provided in fiscal years 2010 to 2014. Participants were 48 937 adults aged 66 years or older who died of solid tumor and were continuously enrolled in fee-for-service Medicare and the Veterans Health Administration in the 12 months prior to death. The data were analyzed from February to August 2019.

EXPOSURES

American Society of Clinical Oncology metrics regarding medically intensive services provided in the last month of life, including hospital stay, intensive care unit stay, chemotherapy, 2 or more emergency department visits, or hospice for 3 or fewer days.

MAIN OUTCOMES AND MEASURES

Costs in the last month of life associated with receipt of intensive medical services were evaluated for both beneficiaries and the health system. Costs were estimated from generalized linear models, adjusting for patient demographics and comorbidities and conditioning on geographic region.

RESULTS

Of 48 937 veterans who received care through the Veterans Health Administration and Medicare, most were white (90.8%) and male (98.9%). More than half (58.9%) received at least 1 medically intensive service in the last month of life. Patients who received no medically intensive service generated a mean (SD) health system cost of $7660 ($1793), whereas patients who received 1 or more medically intensive services generated a mean (SD) health system cost of $23 612 ($5528); thus, the additional financial consequence to the health care system for medically intensive services was $15 952 (95% CI, $15 676-$16 206; P < .001). The biggest contributor to these differences was $21 093 (95% CI, $20 364-$21 689) for intensive care unit stay, while the smallest contributor was $3460 (95% CI, $2927-$3880) for chemotherapy. Mean (SD) expected beneficiary costs for the last month of life were $133 ($50) for patients with no medically intensive service and $1257 ($408) for patients with at least 1 medically intensive service (P < .001).

CONCLUSIONS AND RELEVANCE

Given the low income of many elderly patients in the United States, the financial consequences of medically intensive services may be substantial. Costs of medically intensive services at the end of life, including patient financial consequences, should be considered by both physicians and families.

Users Of Veteran-Directed Care And Other Purchased Care Have Similar Hospital Use And Costs Over Time

The Veteran-Directed Care (VDC) program facilitates independent community living among adults with multiple chronic conditions and functional limitations. Family caregivers value the choice and flexibility afforded by VDC, but rigorous evidence to support its impact on health care costs and use is needed. We identified veterans enrolled in VDC in fiscal year 2017 and investigated differences in hospital admissions and costs after initial receipt of VDC services. We compared VDC service recipients to a matched comparison group of veterans receiving homemaker or home health aide, home respite, and adult day health care services and found similar decreases in hospital use and costs from before to after enrollment in the groups. Further investigation into trends of nursing home use, identification of veterans most likely to benefit from VDC, and relative costs of operating VDC versus other purchased care programs is needed, but our results suggest that VDC remains a valuable option for supporting veterans and caregivers.

HSR Commentary: Linking VA and Non-VA Data to Address Important US Veteran Health Services Research Issues

OBJECTIVE

This commentary summarizes the methods and topics addressed in the special issue of HSR focused on linkage of United States Department of Veterans Affairs (VA) and non-VA datasets. The issue illustrates that researchers are increasingly linking diverse datasets as a valuable method for obtaining outcomes, treatments, and covariates to evaluate and examine health care delivery that includes non-VA services. The issue serves as a reference to VA and non-VA investigators alike who employ data linkage methods to address high-impact clinical and health policy evaluations that span different care systems and different datasets.