Veterans Health Administration Enrollees Research Articles

Effect of mental health staffing inputs on initiation of care among recently separated Veterans.

To estimate a causal relationship between mental health staffing and time to initiation of mental health care for new patients. As the largest integrated health care delivery system in the United States, the Veterans Health Administration (VHA) provides a unique setting for isolating the effects of staffing on initiation of mental health care where demand is high and out-of-pocket costs are not a relevant confounder. We use data from the Department of Defense and VHA to obtain patient and facility characteristics and health care use. To isolate exogenous variation in mental health staffing, we used an instrumental variables approach-two-stage residual inclusion with a discrete time hazard model. Our outcome is time to initiation of mental health care after separation from active duty (first appointment) and our exposure is mental health staffing (standardized clinic time per 1000 VHA enrollees per pay period). Our cohort consists of all Veterans separating from active duty between July 2014 and September 2017, who were enrolled in the VHA, and had at least one diagnosis of post-traumatic stress disorder, major depressive disorder, and/or substance use disorder in the year prior to separation from active duty (N = 54,209). An increase of 1 standard deviation in mental health staffing results in a higher likelihood of initiating mental health care (adjusted hazard ratio: 3.17, 95% confidence interval: 2.62, 3.84, p < 0.001). Models stratified by tertile of mental health staffing exhibit decreasing returns to scale. Increases in mental health staffing led to faster initiation of care and are especially beneficial in facilities where staffing is lower, although initiation of care appears capacity-limited everywhere.

Differences in use of Veterans Health Administration and non-Veterans Health Administration hospitals by rural and urban Veterans after access expansions.

To examine changes in rural and urban Veterans' utilization of acute inpatient care in Veterans Health Administration (VHA) and non-VHA hospitals following access expansion from the Veterans Choice Act, which expanded eligibility for VHA-paid community hospitalization. Using repeated cross-sectional data of VHA enrollees' hospitalizations in 9 states (AZ, CA, CT, FL, LA, MA, NY, PA, and SC) between 2012 and 2017, we compared rural and urban Veterans' probability of admission in VHA and non-VHA hospitals by payer over time for elective and nonelective hospitalizations using multinomial logistic regression to adjust for patient-level sociodemographic features. We also used generalized linear models to compare rural and urban Veterans' travel distances to hospitals. Over time, the probability of VHA-paid community hospitalization increased more for rural Veterans than urban Veterans. For elective inpatient care, rural Veterans' probability of VHA-paid admission increased from 2.9% (95% CI 2.6%-3.2%) in 2012 to 6.5% (95% CI 5.8%-7.1%) in 2017. These changes were associated with a temporal trend that preceded and continued after the implementation of the Veterans Choice Act. Overall travel distances to hospitalizations were similar over time; however, the mean distance traveled decreased from 39.2 miles (95% CI 35.1-43.3) in 2012 to 32.3 miles (95% CI 30.2-34.4) in 2017 for rural Veterans receiving elective inpatient care in VHA-paid hospitals. Despite limited access to rural hospitals, these data demonstrate an increase in rural Veterans' use of non-VHA hospitals for acute inpatient care and a small reduction in distance traveled to elective inpatient services.

Veterans Health Administration enrollees' choice of care setting relates to the expansion of care options: Evidence from screening colonoscopies before and after the MISSION Act.

To estimate whether those enrolled in the Veterans Health Administration (VHA) were less likely to use VHA-delivered colorectal cancer screening colonoscopies after the MISSION Act. Secondary data were collected on VHA-enrolled Veterans from FY2017-FY2021. This retrospective cross-sectional study measured the volume and share of screening colonoscopies that were VHA-delivered over time and by drive time eligibility-defined as living more than 60 min away from the nearest VHA specialty-care clinic. We used a multivariable logistic regression to adjust for patient and facility factors. Data were extracted for VHA enrollees (n = 773,766) who underwent a screening colonoscopy either performed or purchased by the VHA from FY2017-FY2021. In the 9 months after the implementation of the MISSION Act, and before the onset of the Covid-19 pandemic, the average monthly VHA-share of screening colonoscopies decreased by 3 percentage points (pp; 95% confidence interval [CI] = [-4 to -2 pp]) for the non-drive time eligible group and it decreased by 16 pp (95% CI = [-22 to -9 pp]) for the drive time eligible group. The total number of screening colonoscopies did not significantly change in either group during this time period. After adjusting for patient characteristics, a linear time trend, and parent facility fixed effects, implementation of the MISSION Act was associated with a reduction in the probability of a VHA-delivered screening colonoscopy (average marginal effect [AME]: -2.5 pp; 95% CI = [-5.1 to 0.0 pp]) for the non-drive time eligible group. The drive time eligible group (AME: -9.4 pp; 95% CI = [-13.2 to -5.5 pp]) experienced a larger change. The VHA-share of screening colonoscopies among VHA enrollees fell in the 9 months immediately after the passage of the MISSION Act. This decline was larger for VHA enrollees who were targeted for eligibility due to a longer drive time. These results suggest that the MISSION Act led to more VHA-purchased care among targeted VHA enrollees, though it is unclear whether total utilization increased.

Mortality Among US Veterans Admitted to Community vs Veterans Health Administration Hospitals for COVID-19

Veterans Health Administration (VHA) enrollees receive care for COVID-19 in both VHA and non-VHA (ie, community) hospitals, but little is known about the frequency or outcomes of care for veterans with COVID-19 in VHA vs community hospitals. To compare outcomes among veterans admitted for COVID-19 in VHA vs community hospitals. This retrospective cohort study used VHA and Medicare data from March 1, 2020, to December 31, 2021, on hospitalizations for COVID-19 in 121 VHA and 4369 community hospitals in the US among a national cohort of veterans (aged ≥65 years) enrolled in both the VHA and Medicare with VHA care in the year prior to hospitalization for COVID-19 based on the primary diagnosis code. Admission to VHA vs community hospitals. The main outcomes were 30-day mortality and 30-day readmission. Inverse probability of treatment weighting was used to balance observable patient characteristics (eg, demographic characteristics, comorbidity, mechanical ventilation on admission, area-level social vulnerability, distance to VHA vs community hospitals, and date of admission) between VHA and community hospitals. The cohort included 64 856 veterans (mean [SD] age, 77.6 [8.0] years; 63 562 men [98.0%]) dually enrolled in the VHA and Medicare who were hospitalized for COVID-19. Most (47 821 [73.7%]) were admitted to community hospitals (36 362 [56.1%] admitted to community hospitals via Medicare, 11 459 [17.7%] admitted to community hospitals reimbursed via VHA's Care in the Community program, and 17 035 [26.3%] admitted to VHA hospitals). Admission to community hospitals was associated with higher unadjusted and risk-adjusted 30-day mortality compared with admission to VHA hospitals (crude mortality, 12 951 of 47 821 [27.1%] vs 3021 of 17 035 [17.7%]; P < .001; risk-adjusted odds ratio, 1.37 [95% CI, 1.21-1.55]; P < .001). Readmission within 30 days was less common after admission to community compared with VHA hospitals (4898 of 38 576 [12.7%] vs 2006 of 14 357 [14.0%]; risk-adjusted hazard ratio, 0.89 [95% CI, 0.86-0.92]; P < .001). This study found that most hospitalizations for COVID-19 among VHA enrollees aged 65 years or older were in community hospitals and that veterans experienced higher mortality in community hospitals than in VHA hospitals. The VHA must understand the sources of the mortality difference to plan care for VHA enrollees during future COVID-19 surges and the next pandemic.

Excess Mortality at Veterans Health Administration Facilities During the COVID-19 Pandemic.

The COVID-19 pandemic resulted in excess mortality among the general US population and at Veterans Health Administration (VHA) facilities. It is critical to understand the characteristics of facilities that experienced the highest and lowest pandemic-related mortality to inform future mitigation efforts. To identify facility-level excess mortality during the pandemic and to correlate these estimates with facility characteristics and community-wide rates of COVID-19 burden. We used pre-pandemic data to estimate mortality risk prediction models using 5-fold cross-validation and Poisson quasi-likelihood regression. We then estimated excess mortality and observed versus expected (O/E) mortality ratios by the VHA facility from March to December 2020. We examined facility-level characteristics by excess mortality quartile. Overall, there were 11.4 million VHA enrollees during 2016 and 2020. Facility-level O/E mortality ratios and excess all-cause mortality. VHA-enrolled veterans experienced 52,038 excess deaths from March to December 2020, equating to 16.8% excess mortality. Facility-specific rates ranged from -5.5% to +63.7%. Facilities in the lowest quartile for excess mortality experienced fewer COVID-19 deaths (0.7-1.51, P <0.001) and cases (52.0-63.0, P =0.002) per 1,000 population compared with the highest quartile. The highest quartile facilities had more hospital beds (276.7-187.6, P =0.024) and a higher percent change in the share of visits conducted via telehealth from 2019 to 2020 (183%-133%, P <0.008). There was a large variation in mortality across VHA facilities during the pandemic, which was only partially explained by the local COVID-19 burden. Our work provides a framework for large health care systems to identify changes in facility-level mortality during a public health emergency.

Differences Between VHA-Delivered and VHA-Purchased Behavioral Health Care in Service and Patient Characteristics.

Federal legislation has expanded Veterans Health Administration (VHA) enrollees' access to VHA-purchased "community care." This study examined differences in the amount and type of behavioral health care delivered in VHA and purchased in the community, along with patient characteristics and area supply and demand factors. This retrospective cross-sectional study examined data for 204,094 VHA enrollees with 448,648 inpatient behavioral health stays and 3,467,010 enrollees with 55,043,607 outpatient behavioral health visits from fiscal years 2016 to 2019. Standardized mean differences (SMDs) were calculated for patient and provider characteristics at the outpatient-visit level for VHA and community care. Linear probability models assessed the association between severity of behavioral health condition and site of care. Twenty percent of inpatient stays were purchased through community care, with severe behavioral health conditions more likely to be treated in VHA inpatient care. In the outpatient setting, community care accounted for 3% of behavioral health care visits, with increasing use over time. For outpatient care, veterans receiving community care were more likely than those receiving VHA care to see clinicians with fewer years of training (SMD=1.06). With a large portion of inpatient behavioral health care occurring in the community and increased use of outpatient behavioral health care with less highly trained community providers, coordination between VHA and the community is essential to provide appropriate inpatient follow-up care and address outpatient needs. This is especially critical given VHA's expertise in providing behavioral health care to veterans and its legislative responsibility to ensure integrated care.

Long-Term Benzodiazepine Use and Discontinuation Among Patients in the U.S. Veterans Health Administration.

Although long-term benzodiazepine use is not recommended, patients are often prescribed benzodiazepines for &gt;30 days (long-term use). Data from the Veterans Health Administration (VHA) may inform efforts to discontinue such use. This study sought to describe benzodiazepine use and discontinuation among VHA patients and compared patients who continued and discontinued use. The study used nationwide electronic health record data for all VHA-enrolled patients (age ≥18) from fiscal year (FY) 2019 (N=6,032,613). The primary outcome, benzodiazepine discontinuation, was defined as no prescription refill for 120 days. In FY2019, 3.5% of VHA enrollees were prescribed benzodiazepines for &gt;30 days, which was 72.0% of those prescribed benzodiazepines. One-third of veterans prescribed long-term benzodiazepines discontinued use. Continuation was more likely among patients who were older, not Black, taking benzodiazepines longer, and taking higher doses. When demographic factors were controlled, patients who continued long-term use were more likely to have a diagnosis of anxiety, posttraumatic stress disorder (PTSD), bipolar disorder, or psychosis and less likely to have depression or an alcohol or drug use disorder. Continuation was associated with a lower likelihood of sleep and cardiopulmonary disorders and of dementia. Higher discontinuation prevalence among patients with substance use disorders, dementia, or cardiopulmonary disorders is encouraging. However, the challenge remains of discontinuing long-term use among patients who are White, older, or diagnosed as having anxiety, PTSD, bipolar disorder, or psychosis. There is a need to identify provider, patient, and contextual factors driving long-term benzodiazepine use in these patient groups to effectively apply evidence-based discontinuation strategies.

Dually-enrolled patients choose providers with lower wait times: Budgetary implications for the VHA.

To estimate the effect of wait times on patients' choice of provider and simulate changes in choice of provider due to compliance with VA MISSION Act wait time targets. We use nationwide administrative data (2014-2017) on Veterans who are enrolled in Medicare and the Veterans Health Administration (VHA), the Survey of VHA Enrollees, Area Health Resource Files, and other data provided by the Centers for Medicare & Medicaid Services. We use an instrumental variables approach to identify the effect of VHA wait times on the proportion of total (Medicare and VHA) services that are paid for by the VHA ("reliance"). We exploit shocks to VHA provider supply to isolate supply-driven changes in wait times and estimate the effect on VHA reliance. We control for market and time fixed effects and local demand factors. We use monthly aggregated data on 140 markets (groups of counties). VHA reliance is computed among patients aged 65 years or older who are dually enrolled in VHA and Medicare. VHA wait times and reliance are calculated for multiple specialties: cardiology, gastroenterology, orthopedics, urology, dermatology, and ophthalmology/optometry. A 10% increase in the mean wait time (+2.8 days) reduces VHA reliance by 2.3 percentage points (95% CI: 2.3, 2.7), or 7.9% of the sample mean. This implies that meeting the MISSION Act wait time targets may have multi-billion-dollar budgetary impacts. Effects vary across specialties. For example, a 10% increase in the mean wait time for cardiology services (+2.0 days) reduces reliance by 1.8 percentage points (95% CI: 1.6, 2.1), or 6.3% of the sample mean for cardiology services. Meeting statutory wait time targets may have substantial unforeseen impacts on federal health care spending as patients sort to providers who have lower wait times.

Smoking Status and Factors associated with COVID-19 In-Hospital Mortality among US Veterans.

IntroductionThe role of smoking in risk of death among patients with COVID-19 remains unclear. We examined the association between in-hospital mortality from COVID-19 and smoking status and other factors in the United States Veterans Health Administration (VHA).MethodsThis is an observational, retrospective cohort study using the VHA COVID-19 shared data resources for February 1 to September 11, 2020. Veterans admitted to the hospital who tested positive for SARS-CoV-2 and hospitalized by VHA were grouped into Never (as reference, NS), Former (FS), and Current smokers (CS). The main outcome was in-hospital mortality. Control factors were the most important variables (among all available) determined through a cascade of machine learning. We reported adjusted odds ratios (aOR) and 95% confidence intervals (95%CI) from logistic regression models, imputing missing smoking status in our primary analysis.ResultsOut of 8 667 996 VHA enrollees, 505 143 were tested for SARS-CoV-2 (NS = 191 143; FS = 240 336; CS = 117 706; Unknown = 45 533). The aOR of in-hospital mortality was 1.16 (95%CI 1.01, 1.32) for FS vs. NS and 0.97 (95%CI 0.78, 1.22; p > .05) for CS vs. NS with imputed smoking status. Among other factors, famotidine and nonsteroidal anti-inflammatory drugs (NSAID) use before hospitalization were associated with lower risk while diabetes with complications, kidney disease, obesity, and advanced age were associated with higher risk of in-hospital mortality.ConclusionsIn patients admitted to the hospital with SARS-CoV-2 infection, our data demonstrate that FS are at higher risk of in-hospital mortality than NS. However, this pattern was not seen among CS highlighting the need for more granular analysis with high-quality smoking status data to further clarify our understanding of smoking risk and COVID-19-related mortality. Presence of comorbidities and advanced age were also associated with increased risk of in-hospital mortality.ImplicationsVeterans who were former smokers were at higher risk of in-hospital mortality compared to never smokers. Current smokers and never smokers were at similar risk of in-hospital mortality. The use of famotidine and nonsteroidal anti-inflammatory drugs (NSAIDs) before hospitalization were associated with lower risk while uncontrolled diabetes mellitus, advanced age, kidney disease, and obesity were associated with higher risk of in-hospital mortality.

Assessment of Changes in US Veterans Health Administration Care Delivery Methods During the COVID-19 Pandemic

This cross-sectional study assesses changes in health care delivery methods, including all forms of care either purchased or provided by the Veterans Health Administration (VHA), for VHA enrollees in response to the COVID-19 pandemic.

Did the Affordable Care Act Decrease Veteran Enrollment in the Veterans Health Administration?

Provisions of the Affordable Care Act (ACA) provided nonelderly individuals, including Veterans, with additional health care coverage options. This may impact enrollment for health care through the Veterans Health Administration (VHA). National enrollment data was used to: (1) compare characteristics of enrollees at 3 time points in relation to the implementation of ACA insurance provisions (2012); and (2) examine enrollment trends. The study population included a 10% sample of Veterans under age 65 who were VHA enrollees between January 2012 and September 2015. Demographic and baseline characteristics were compared between 3 enrollment groups: pre-2012, pre-ACA (2012-2013), and post-ACA (2014-2015). Using an interrupted time series approach, we employed pooled logistic regression to assess trends in new VHA enrollment, overall, and by select enrollee characteristics. A total of 429,833 enrollees were identified. Compared with pre-ACA enrollees, post-ACA enrollees were more likely to be older, have a service-connected disability, live further away from a VHA medical center, but less likely to use primary care within 6 months. The post-ACA quarterly trend in the odds of being a new enrollee was 3% lower (95% confidence interval: 0.96, 0.98) as compared with the pre-ACA trend. This decline was consistent across sex, geography, (all but 1) priority group, and state Medicaid-expansion subgroups. The ACA appears to have contributed to a decline in new VHA enrollment. In addition, the profile of newer enrollees differs from that of pre-ACA enrollees. The VHA must continue to monitor trends in demand in order to continue delivering high-quality, efficient care.

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

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. 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. 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. 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. 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.

Racial differences in patient consent policy preferences for electronic health information exchange.

This study aimed to explore the association between demographic variables, such as race and gender, and patient consent policy preferences for health information exchange as well as self-report by VHA enrollees of information continuity between Veterans Health Administration (VHA) and community non-VHA heath care providers. Data were collected between March 25, 2016 and August 22, 2016 in an online survey of 19567 veterans. Three questions from the 2016 Commonwealth Fund International Health Policy Survey, which addressed care continuity, were included. The survey also included questions about consent policy preference regarding opt-out, opt-in, and "break the glass" consent policies. VHA enrollees had comparable proportions of unnecessary laboratory testing and conflicting information from providers when compared with the United States sample in the Commonwealth Survey. However, they endorsed medical record information being unavailable between organizations more highly. Demographic variables were associated with gaps in care continuity as well as consent policy preferences, with 56.8% of Whites preferring an opt-out policy as compared with 40.3% of Blacks, 44.9% of Hispanic Latinos, 48.3% of Asian/Pacific Islanders, and 38.3% of Native Americans (P < .001). Observed large differences by race and ethnicity in privacy preferences for electronic health information exchange should inform implementation of these programs to ensure cultural sensitivity. Veterans experienced care continuity comparable to a general United States sample, except for less effective exchange of health records between heath care organizations. VHA followed an opt-in consent policy at the time of this survey which may underlie this gap.

Firearm Injury Encounters in the Veterans Health Administration (VHA), 2010-2015

IntroductionFirearm violence is an issue of public health concern leading tomore than 30,000 deaths and 80,000 nonfatal injuries in the UnitedStates annually.1To date, firearm-related studies among Veteranshave focused primarily on suicide and attempted suicide.2-5Herein,we examine firearm violence among VHA enrollees for all manners/intents, including assault, unintentional, self-inflicted, undeterminedand other firearm-related injury encounters in both the inpatient andoutpatient settings.MethodsInpatient and Outpatient encounters with one or more ICD-9-CM firearm external-cause-of-injury codes (E-codes) from1/1/2010-9/30/2015 were extracted from the VHA’s Praedico™Public Health Surveillance System, including demographics, era ofservice/eligibility, encounter type, and deaths. Firearm E-codes wereclassified for manner/intent based on the CDC’s Web-based InjuryStatistics Query and Reporting System (WISQARS™) matrix.6Outpatient/emergency department (ED) data were exclusively fromVHA facilities (a single pediatric patient seen as a humanitarianemergency was excluded from the dataset). Inpatient data includedVHA facilities and some records received from non-VHA facilities.VHA rate of hospitalization for firearm-related admissions wascalculated using the total VHA acute-care admissions for the sametime period as the denominator.ResultsDuring the time frame examined, 5,205 unique individuals wereseen with a firearm E-code. Of these, 4,221 were seen in the outpatient/ED setting only, 597 in the inpatient setting only, and the remaining387 had encounters in both the outpatient/ED and inpatient settings.VHA firearm admission rate was 1.63 per 10,000 VHA admissions,compared to a national rate of 1.96 per 10,000 in 2010.7Table 1 showsthe breakdown of encounters by manner/intent. Unintentional was themost common firearm injury manner/intent. Overall, the median age atinitial encounter was 54 (range 19-100 years), and 96% were male. Thehighest percentage served in the Persian Gulf War Era (2,136, 41%),followed by Vietnam Era (1,816, 35%) and Post-Vietnam Era (716,14%). The greatest number of patients with a firearm-coded encounterresided in Texas (453), California (349), Florida (326), Arizona (214)and Ohio (212).ConclusionsUnintentional injuries were the most common form of firearminjury among VHA enrollees, representing over half of alloutpatient/ED firearm encounters and more than twice the numberof firearm hospitalizations compared with any other manner/intent.Limitations include that not all U.S. Veterans are VHA enrollees;miscoding and misclassification of firearm-related injuries may haveoccurred; and data from non-VHA outpatient/ED encounters andsome non-VHA hospitalizations are not available to our surveillancesystem for analysis. Additional study is needed to further understandthe epidemiology of firearm-related injuries among Veterans andinform VHA leadership and providers

Do Veterans Health Administration Enrollees Generalize to Other Populations?

The Veterans Health Administration (VHA) has historically served a disproportionately male patient population with lower income and greater rates of mental illness than non-VHA populations. The generalizability of research based on VHA enrollees is unknown because the overlap between VHA and non-VHA populations has never been empirically examined. This study used 2013 National Health Interview Survey data to examine the extent to which VHA enrollees had similar demographic and health characteristics as individuals with Medicaid, Medicare, or private insurance coverage, based on propensity score models. A majority of male VHA enrollees were similar to Medicare beneficiaries suggesting greater generalizability of VHA studies than commonly hypothesized. Overlap declined when comparing with Medicaid enrollees or privately insured individuals, suggesting more limited generalizability of VHA studies to these populations.

Rural Veterans and Access to High‐Quality Care for High‐Risk Surgeries

To determine whether older Veterans Health Administration (VA) health care enrollees obtain most high-risk surgeries in non-VA hospitals under Medicare, whether residence in less populous areas increases this reliance on non-VA care or the likelihood of obtaining it in hospitals with higher mortality rates, and whether directing VA enrollees to better hospitals would add a substantial travel burden. VA and Medicare hospital discharge data from 2000 and 2001 for VA enrollees 65 years or older who received any of 14 high-risk elective procedures, including heart, vascular, and cancer surgeries. STUDY DESIGN/DATA EXTRACTION: We compared urban, suburban, and rural patients on use of VA versus non-VA hospitals, use of non-VA hospitals of higher versus lower mortality rates, travel times to get to these hospitals, and the additional travel burden if they had gone to lower mortality hospitals. Regardless of residence, VA enrollees obtained most high-risk surgeries in non-VA hospitals. Urban veterans were most likely to get heart or cancer surgeries in lower mortality hospitals, but rural veterans were most likely to get vascular surgeries in lower mortality hospitals. Average travel times to lower or higher mortality hospitals did not differ greatly. Accessing better hospitals need not add a great travel burden for rural veterans.

Comparing the Characteristics, Utilization, Efficiency, and Outcomes of VA and Non-VA Inpatient Care Provided to VA Enrollees

To compare the characteristics, utilization, and outcomes of Veterans Health Administration (VA) and non-VA inpatient care provided to VA enrollees in New York. Using VA and New York State administrative and clinical databases, we conducted a retrospective study examining 110,716 residents of New York State who were enrolled in the VA and had 266,869 inpatient admissions in VA and non-VA hospitals in New York. For each admission, we determined the system of care used (VA or non-VA), patient demographics, and characteristics of the admission, and we calculated VA patients' relative reliance on the VA for inpatient care. For each Major Diagnostic Category (MDC), we examined reliance, patient characteristics, and lengths-of-stay for 2 groups: veterans who were younger than age 65 and those age 65 or older. Fifty-three percent of younger patients' inpatient admissions were in the VA, whereas 32% of older patients' were; however, relative reliance on the VA varied dramatically across the 19 MDCs examined. Across age groups, patients admitted to VA hospitals were younger, less likely to be white, and less likely to live in a rural setting. Those using VA hospitals had lower Charlson scores and received less complex care. For both age groups and across all MDCs, admissions to VA hospitals had substantially higher diagnosis related group-specific observed-to-expected lengths-of-stay. Younger and older veterans use VA and non-VA hospitals differently for inpatient services. Comprehensive inpatient datasets could inform planners about VA's service market and VA managers about achievable performance benchmarks that are relevant to VA's service population.

Choice of a regular physician and health care utilization: principal-agent issues for American veterans

Using US Veterans Health Administration (VA) data, we examined factors that affected patients choice of regular physicians and how the location of regular physicians influenced patients health care use. Appropriate estimation methods were applied to control for the endogeneity of patients choice of regular physicians. Our study showed that VA enrollees with regular VA physicians were more likely to use VA for inpatient care while those with regular nonVA physicians were more likely to use VA for special care such as pharmacy or mental health/substance abuse treatment, both of which can have very limited coverage in nonVA settings.

Where Do Veterans Health Administration Patients Obtain Heart, Liver, and Kidney Transplants?

We sought to determine whether Veterans Health Administration (VA) enrollees use the VA system or the private sector for solid-organ transplantation and whether VA system use is associated with patients' proximity to a VA transplant center. Using a national VA/Medicare inpatient data set and a comprehensive New York State VA/private-sector inpatient data set for 1998 to 2000, we found that veterans enrolled in the VA system obtained approximately one-half of their liver transplants, but few heart and kidney transplants, in the VA system. Patients were much more likely to use the VA system if they lived in a VA service area that offered relevant transplant services. Our findings suggest that VA transplant centers intended to meet national needs are more likely to serve local residents. Furthermore, our analysis indicates that use of only the VA/Medicare data set may substantially underestimate VA enrollees' reliance on the private sector for health care services.

Reducing avoidable deaths among veterans: directing private-sector surgical care to high-performance hospitals.

We quantified older (65 years and older) Veterans Health Administration (VHA) patients' use of the private sector to obtain 14 surgical procedures and assessed the potential impact of directing that care to high-performance hospitals. Using a merged VHA-Medicare inpatient database for 2000 and 2001, we determined where older VHA enrollees obtained 6 cardiovascular surgeries and 8 cancer resections and whether private-sector care was obtained in high- or low-performance hospitals (based on historical performance and determined 2 years in advance of the service year). We then modeled the mortality and travel burden effect of directing private-sector care to high-performance hospitals. Older veterans obtained most of their procedures in the private sector, but that care was equally distributed across high- and low-performance hospitals. Directing private-sector care to high-performance hospitals could have led to the avoidance of 376 to 584 deaths, most through improved cardiovascular care outcomes. Using historical mortality to define performance would produce better outcomes with lower travel time. Policy that directs older VHA enrollees' private-sector care to high-performance hospitals promises to reduce mortality for VHA's service population and warrants further exploration.