Lower comorbidity scores and severity levels in Veterans Health Administration hospitals: a cross-sectional study.

BACKGROUND: Previous studies found that documentation of comorbidities differed when Veterans received care within versus outside Veterans Health Administration (VHA). Changes to medical center funding, increased attention to performance reporting, and expansion of Clinical Documentation Improvement programs, however, may have caused coding in VHA to change. METHODS: Using repeated cross-sectional data, we compared Elixhauser-van Walraven scores and Medicare Severity Diagnosis Related Group (DRG) severity levels for Veterans' admissions across settings and payers over time, utilizing a linkage of VHA and all-payer discharge data for 2012-2017 in seven US states. To minimize selection bias, we analyzed records for Veterans admitted to both VHA and non-VHA hospitals in the same year. Using generalized linear models, we adjusted for patient and hospital characteristics. RESULTS: Following adjustment, VHA admissions consistently had the lowest predicted mean comorbidity scores (4.44 (95% CI 4.34-4.55)) and lowest probability of using the most severe DRG (22.1% (95% CI 21.4%-22.8%)). In contrast, Medicare-covered admissions had the highest predicted mean comorbidity score (5.71 (95% CI 5.56-5.85)) and highest probability of using the top DRG (35.3% (95% CI 34.2%-36.4%)). CONCLUSIONS: More effective strategies may be needed to improve VHA documentation, and current risk-adjusted comparisons should account for differences in coding intensity.

Mortality among US veterans after emergency visits to Veterans Affairs and other hospitals: retrospective cohort study.

OBJECTIVE: To measure and compare mortality outcomes between dually eligible veterans transported by ambulance to a Veterans Affairs hospital and those transported to a non-Veterans Affairs hospital. DESIGN: Retrospective cohort study using data from medical charts and administrative files. SETTING: Emergency visits by ambulance to 140 Veteran Affairs and 2622 non-Veteran Affairs hospitals across 46 US states and the District of Columbia in 2001-18. PARTICIPANTS: National cohort of 583 248 veterans (aged ≥65 years) enrolled in both the Veterans Health Administration and Medicare programs, who resided within 20 miles of at least one Veterans Affairs hospital and at least one non-Veterans Affairs hospital, in areas where ambulances regularly transported patients to both types of hospitals. INTERVENTION: Emergency treatment at a Veterans Affairs hospital. MAIN OUTCOME MEASURE: Deaths in the 30 day period after the ambulance ride. Linear probability models of mortality were used, with adjustment for patients' demographic characteristics, residential zip codes, comorbid conditions, and other variables. RESULTS: Of 1 470 157 ambulance rides, 231 611 (15.8%) went to Veterans Affairs hospitals and 1 238 546 (84.2%) went to non-Veterans Affairs hospitals. The adjusted mortality rate at 30 days was 20.1% lower among patients taken to Veterans Affairs hospitals than among patients taken to non-Veterans Affairs hospitals (9.32 deaths per 100 patients (95% confidence interval 9.15 to 9.50) v 11.67 (11.58 to 11.76)). The mortality advantage associated with Veterans Affairs hospitals was particularly large for patients who were black (-25.8%), were Hispanic (-22.7%), and had received care at the same hospital in the previous year. CONCLUSIONS: These findings indicate that within a month of being treated with emergency care at Veterans Affairs hospitals, dually eligible veterans had substantially lower risk of death than those treated at non-Veterans Affairs hospitals. The nature of this mortality advantage warrants further investigation, as does its generalizability to other types of patients and care. Nonetheless, the finding is relevant to assessments of the merit of policies that encourage private healthcare alternatives for veterans.

An Evaluation of Statin Use Among Patients with Type 2 Diabetes at High Risk of Cardiovascular Events Across Multiple Health Care Systems.

BACKGROUND: Patients with more than one chronic condition often receive care from several providers and facilities, which may lead to fragmentation of care. Poor care coordination in dual health care system use has been associated with increased emergency department visits, hospitalizations, and costs. OBJECTIVE: Dual health care system use is increasing among veterans, and we sought to evaluate the effect of dual health care system use on statin treatment in veterans with type 2 diabetes at high risk of cardiovascular events, using varying degrees of Centers for Medicare & Medicaid Services (CMS) services. METHODS: This was a 10-year retrospective longitudinal cohort study of national clinical and administrative data that included 689,138 veterans with type 2 diabetes who were aged 65 years or older on January 1, 2006. Patients were followed from January 1, 2007, until December 31, 2016. Administrative and clinical data from the Veterans Health Administration's (VHA) Corporate Data Warehouse were merged with CMS inpatient, outpatient, and pharmacy data. Statin use was defined as any therapy and subcategorized as high versus low or moderate intensity per the American College of Cardiology/American Heart Association guidelines. Marginal generalized estimating equation-type models for longitudinal data were used to model the association between dual health care utilization status (< 50%, 50%-80%, and > 80% VHA utilization, with the first group serving as the reference group) and statin use after adjusting for measured covariates. RESULTS: The mean ages at baseline for each group were similar and ranged between 75.4 and 76.9 years. For the outcome of any statin use, the group with < 50% VHA utilization was significantly less likely to receive statin therapy compared with the group with > 80% VHA utilization (OR = 0.26, 95% CI = 0.26-0.26), while the group with 50%-80% VHA utilization was slightly more likely (OR = 1.05, 95% CI = 1.04-1.07). Similarly, for the high-intensity versus low-/moderate-intensity or no statins outcome, the group with < 50% VHA utilization was significantly less likely to receive a high-intensity statin compared with the group with > 80% VHA utilization (OR = 0.56, 95% CI = 0.55-0.57), while the group with 50%-80% VHA utilization was only slightly less likely (OR = 0.95, 95% CI =0.94-0.96). CONCLUSIONS: Among veterans with diabetes at high risk of cardiovascular events, dual health care system utilization status appeared to affect statin use. We observed lower odds for any statin use and high-intensity statin therapy among the cohort with the lowest degree of VHA utilization (i.e., < 50%). Interventions to increase statin use among veterans at high risk of cardiovascular events with lower degrees of VHA utilization should be explored. DISCLOSURES: This study was supported by a grant funded by the Department of Veterans Affairs' Health Services Research and Development Service and was undertaken at the Health Equity and Rural Outreach Center (HEROIC) at Ralph H. Johnson Veteran Affairs Medical Center, Charleston, SC. The authors report no potential conflicts of interest relevant to this article. This article represents the views of the authors and not those of the Medical University of South Carolina or Veteran Health Administration.

Developing a template matching algorithm for benchmarking hospital performance in a diverse, integrated healthcare system.

Template matching is a proposed approach for hospital benchmarking, which measures performance based on matching a subset of comparable patient hospitalizations from each hospital. We assessed the ability to create the required matched samples and thus the feasibility of template matching to benchmark hospital performance in a diverse healthcare system.Nationwide Veterans Affairs (VA) hospitals, 2017.Observational cohort study.We used administrative and clinical data from 668,592 hospitalizations at 134 VA hospitals in 2017. A standardized template of 300 hospitalizations was selected, and then 300 hospitalizations were matched to the template from each hospital.There was substantial case-mix variation across VA hospitals, which persisted after excluding small hospitals, hospitals with primarily psychiatric admissions, and hospitalizations for rare diagnoses. Median age ranged from 57 to 75 years across hospitals; percent surgical admissions ranged from 0.0% to 21.0%; percent of admissions through the emergency department, 0.1% to 98.7%; and percent Hispanic patients, 0.2% to 93.3%. Characteristics for which there was substantial variation across hospitals could not be balanced with any matching algorithm tested. Although most other variables could be balanced, we were unable to identify a matching algorithm that balanced more than ∼20 variables simultaneously.We were unable to identify a template matching approach that could balance hospitals on all measured characteristics potentially important to benchmarking. Given the magnitude of case-mix variation across VA hospitals, a single template is likely not feasible for general hospital benchmarking.

Development of a novel metric of timely care access to primary care services.

OBJECTIVE: To develop a model for identifying clinic performance at fulfilling next-day and walk-in requests after adjusting for patient demographics and risk. DATA SOURCE: Using Department of Veterans Affairs (VA) administrative data from 160 VA primary care clinics from 2014 to 2017. STUDY DESIGN: Using a retrospective cohort design, we applied Bayesian hierarchical regression models to predict provision of timely care, with clinic-level random intercept and slope while adjusting for patient demographics and risk status. Timely care was defined as the provision of an appointment within 48 hours of any patient requesting the clinic's next available appointment or walking in to receive care. DATA COLLECTION/EXTRACTION METHODS: We extracted 1 841 210 timely care requests from 613 263 patients. PRINCIPAL FINDINGS: Across 160 primary care clinics, requests for timely care were fulfilled 86 percent of the time (range 83 percent-88 percent). Our model of timely care fit the data well, with a Bayesian R2 of .8. Over the four years of observation, we identified 25 clinics (16 percent) that were either struggling or excelling at providing timely care. CONCLUSION: Statistical models of timely care allow for identification of clinics in need of improvement after adjusting for patient demographics and risk status. VA primary care clinics fulfilled 86 percent of timely care requests.

The VA and Non-VA Experience of Tracking Good Care.

The VA Mission Act of 2018 allows for choice of health care for 9 million veterans in their community, but deciding where the best care is requires transparency. Recent reports questioning the transparency of reporting health care outcomes in the Department of Veterans Affairs (VA), the largest US health care organization, pointed to flaws in how VA tracks and improves performance, and posed questions about the validity and transparency of using popular hospital ratings systems to define good care. To explore this further, the authors examined 3 widely referenced public health care ranking models - U.S. News America's Best Hospitals, Truven Health Analytics, and Hospital Compare - and the VA model. Upon examination, the authors find that metrics used across the 4 models are neither comparable nor transparent. Between 6%-46% reporting deficiencies were found in reporting of hospital metrics in non-VA hospitals, which reduces transparency for the public. In contrast, VA reporting is 100%. Comparing VA health care and Hospital Compare quality outcomes showed similar or better outcomes for VA for the same metrics of quality and for comparable health care costs. VA inpatient satisfaction falls significantly short of the private sector, but no individual VA outcome measure was found to contribute significantly to inpatient satisfaction. However, overall inpatient satisfaction increased over time with higher global hospital ranking in both VA and non-VA health care. Encouraging use of uniform rating models and reporting of metrics from all hospitals would improve transparency of current health care reporting to the consumer.

Teledermatology as a Tool for Preoperative Consultation Before Mohs Micrographic Surgery Within the Veterans Health Administration.

BACKGROUND: Telemedicine is improving access to subspecialty care within the Veterans Health Administration (VHA). Mohs micrographic surgery (MMS) is a surgical modality used to treat nonmelanoma skin cancers. OBJECTIVE: This study evaluates the use of teledermatology for preoperative consultation for MMS. METHODS AND MATERIALS: A retrospective analysis of interfacility MMS referrals to the Bronx Veterans Affairs Medical Center (VAMC) was conducted. The consult failure rates (CFRs), treatment follow-through rates, time to treatment, and travel savings for "face-to-face" preoperative consults were compared with store-and-forward "teledermatology" preoperative consults. RESULTS: Although both "teledermatology" and "face-to-face" preoperative consults resulted in an equivalent percentage of treated lesions, teledermatology had a significantly decreased CFR. In addition, teledermatology decreased the time to treatment by 2 weeks, increased the percentage of lesions treated within 60 days, and resulted in average travel savings of 162.7 minutes, 144.5 miles, and $60.00 per person. CONCLUSION: This study demonstrates that teleconsultation is effective for preoperative consults for MMS within the VHA system. Teledermatology improved access measures such as time to treatment and travel burden. This program may serve as a model not only for other VAMCs that accept interfacility MMS consults, but also for VAMCs that provide other types of access-limited subspecialty care.

The Association Between Neighborhood Socioeconomic and Housing Characteristics with Hospitalization: Results of a National Study of Veterans.

BACKGROUND: Social determinants of health (SDOH) have an inextricable impact on health. If remained unaddressed, poor SDOH can contribute to increased health care utilization and costs. We aimed to determine if geographically derived neighborhood level SDOH had an impact on hospitalization rates of patients receiving care at the Veterans Health Administration's (VHA) primary care clinics. METHODS: In a 1-year observational cohort of veterans enrolled in VHA's primary care medical home program during 2015, we abstracted data on individual veterans (age, sex, race, Gagne comorbidity score) from the VHA Corporate Data Warehouse and linked those data to data on neighborhood socioeconomic status (NSES) and housing characteristics from the US Census Bureau on census tract level. We used generalized estimating equation modeling and spatial-based analysis to assess the potential impact of patient-level demographic and clinical factors, NSES, and local housing stock (ie, housing instability, home vacancy rate, percentage of houses with no plumbing, and percentage of houses with no heating) on hospitalization. We defined hospitalization as an overnight stay in a VHA hospital only and reported the risk of hospitalization for veterans enrolled in the VHA's primary care medical home clinics, both across the nation and within 1 specific case study region of the country: King County, WA. RESULTS: Nationally, 6.63% of our veteran population was hospitalized within the VHA system. After accounting for patient-level characteristics, veterans residing in census tracts with a higher NSES index had decreased odds of hospitalization. After controlling all other factors, veterans residing in census tracts with higher percentage of houses without heating had 9% (Odds Ratio, 1.09%; 95% CI, 1.04 to 1.14) increase in the likelihood of hospitalization in our regional Washington State analysis, though not our national level analyses. CONCLUSIONS: Our results present the impact of neighborhood characteristics such as NSES and lack of proper heating system on the likelihood of hospitalization. The application of placed-based data at the geographic level is a powerful tool for identification of patients at high risk of health care utilization.

Characteristics of the Quality Improvement Content of Cardiac Catheterization Peer Reviews in the Veterans Affairs Clinical Assessment, Reporting, and Tracking Program.

Importance: Peer review is recommended for quality assessment in all cardiac catheterization programs, but, to our knowledge, the content of peer reviews and the potential for quality improvement has not been described. Objective: To characterize the quality improvement content of cardiac catheterization peer reviews. Design, Setting, and Participants: This quality improvement study used retrospective case review of diagnostic angiography and percutaneous coronary intervention procedures to characterize the major adverse event review process of the US Department of Veterans Affairs Clinical Assessment, Reporting, and Tracking (CART) program from January 1, 2012, to December 31, 2016. Data review and analysis took place from November 2017 to August 2018. Main Outcomes and Measures: Percentage of peer reviews reporting substandard care and opportunities for quality improvement. Results: A total of 196 643 diagnostic coronary angiograms and 62 576 percutaneous coronary interventions were performed in the Department of Veterans Affairs. Of these, 168 (0.1%) were triggered for review because of a self-reported major adverse event during the procedure. Of 152 cases with complete peer review data, care was adjudicated as not meeting the standard of care in 25 cases (16.4%). Concerns about operator judgment were identified in 46 cases (30.3%), about case selection in 26 (17.1%), about trainee supervision in 21 (13.8%), and about technical performance in 46 (30.3%). Reviewers made recommendations to improve operator performance in 63 cases (41.4%) and catheterization laboratory or hospital processes in 58 (38.2%). Conclusions and Relevance: While substandard care is infrequently identified in peer review of catheterization laboratory complications in the Department of Veterans Affairs, the process often generates recommendations for quality improvement. Peer review programs should focus on identifying quality improvement opportunities and providing meaningful feedback to operators.

Association Between Spending and Survival of Chronic Heart Failure Across Veterans Affairs Medical Centers.

Importance: The US Department of Veterans Affairs (VA) provides health care to more than 2 000 000 veterans with chronic cardiovascular disease, yet little is known about how expenditures vary across VA Medical Centers (VAMCs), or whether VAMCs with greater health expenditures are associated with better health outcomes. Objectives: To compare expenditures for patients with chronic heart failure (CHF) across the nation's VAMCs and examine the association between health care spending and survival. Design, Setting, and Participants: Retrospective cohort study using existing administrative data sets from the VA's Corporate Data Warehouse and each veteran's Medicare enrollment information and claims history for fee-for-service clinicians outside of the VA from 265 714 patients diagnosed with CHF between April 1, 2010, and December 31, 2013, who received care at any of 138 VAMCs or affiliated outpatient clinics nationwide. Patients were followed up through September 30, 2014. Data were analyzed from April 1, 2010, through September 30, 2014. Main Outcomes and Measures: Main outcomes were patient deaths per calendar quarter and aggregate VA costs per calendar quarter. Hierarchical generalized linear models with hospital-level random effects were estimated to calculate both risk-standardized annual health care expenditures and risk-standardized annual survival rates for veterans with CHF at each VAMC. The association between VAMC-level expenditures and survival was then modeled using local and linear regression. Results: Of the 265 714 patients included, 261 132 (98.7%) were male; 224 353 (84.4%) were white; 41 110 (15.5%) were black, Asian, Pacific Islander, American Indian, or Alaskan Native; and 251 (0.1%) did not report race. Mean (SD) age of the patients included was 74 (10) years. Across 138 VAMCs, mean (95% CI) annual expenditures for veterans with CHF varied from $21 300 ($20 300-$22 400) to $52 800 ($49 400-$54 300) per patient, whereas annual survival varied between 81.4% to 88.9%. There was a modest V-shaped association between spending and survival such that adjusted survival was 1.7 percentage points higher at the minimum level of spending compared with the inflection point of $34 100 per year (P = .001) and 1.9 percentage points higher at the maximum level of spending compared with the inflection point (P = .006). Conclusions and Relevance: Despite marked differences in mean annual expenditures per veteran, only a modest association was found between CHF spending and survival at the VAMC level, with slightly higher survival observed at the extremes of the spending range. Hospitals with high expenditures may be less efficient than their peer institutions in producing optimal health outcomes.

Transitional Care Outcomes in Veterans Receiving Post-Acute Care in a Skilled Nursing Facility.

BACKGROUND: As the veteran population ages, more veterans are receiving post-acute care in skilled nursing facilities (SNFs). However, the outcomes of these transitions across Veterans Affairs (VA) and non-VA settings are unclear. OBJECTIVE: To measure adverse outcomes in veterans transitioning from hospital to SNF in VA and non-VA hospitals and SNFs. DESIGN: Retrospective observational study using the 2012 to 2014 Residential History File, which concatenates VA, Medicare, and Medicaid data into longitudinal episodes of care for veterans. SETTING: VA and non-VA hospitals and SNFs in four categories: non-VA SNFs, VA-contracted SNFs, VA Community Living Centers (CLCs), and State Veterans Homes. PARTICIPANTS: Veterans, aged 65 years or older, who were acutely hospitalized and discharged to an SNF; one transition was randomly selected per patient. MEASUREMENTS: Adverse "transitional care" outcomes were a composite of hospital readmission, emergency department visit, or mortality within 7 days of hospital discharge. RESULTS: More than four in five veteran transitions (81.7%) occurred entirely outside the VA system. The overall 7-day outcome rate was 10.7% in the 388 339 veterans included. Adverse outcomes were lowest in VA hospital-CLC transitions (7.5%; 95% confidence interval [CI] = 7.1%-7.8%) and highest in non-VA hospital to VA-contracted nursing home transitions (17.5%; 95% CI = 16.0%-18.9%) in unadjusted analysis. In multivariate analyses adjusted for patient and hospital characteristics, VA hospitals had lower adverse outcome rates than non-VA hospitals (odds ratio [OR] = 0.80; 95% CI = 0.74-0.86). In comparison to VA hospital-VA CLC transitions, non-VA hospital to VA-contracted nursing homes (OR = 2.51; 95% CI = 2.09-3.02) and non-VA hospital to CLC (OR = 2.25; 95% CI = 1.81-2.79) had the highest overall adverse outcome rates. CONCLUSION: Most veteran hospital-SNF transitions occur outside the VA, although adverse transitional care outcomes are lowest inside the VA. These findings raise important questions about the VA's role as a provider and payer of post-acute care in SNFs. J Am Geriatr Soc 67:1820-1826, 2019.

Association of Expanded VA Hospice Care With Aggressive Care and Cost for Veterans With Advanced Lung Cancer.

IMPORTANCE: Medicare hospice beneficiaries discontinue disease-modifying treatments because the hospice benefit limits access. While veterans have concurrent access to hospice care and Veterans Affairs (VA) Medical Center (VAMC)-provided treatments, the association of this with changes in treatment and costs of veterans' end-of-life care is unknown. OBJECTIVE: To determine whether increasing availability of hospice care, without restrictions on disease-modifying treatments, is associated with reduced aggressive treatments and medical care costs at the end of life. DESIGN, SETTING, AND PARTICIPANTS: A modified difference-in-differences study design, using facility fixed effects, compared patient outcomes during years with relatively high vs lower hospice use. This study evaluated 13 085 veterans newly diagnosed with stage IV non-small cell lung cancer (NSCLC) from 113 VAMCs with a minimum of 5 veterans diagnosed with stage IV NSCLC per year, between 2006 and 2012. Data analyses were conducted between January 2017 and July 2018. EXPOSURES: Using VA inpatient, outpatient, pharmacy claims, and similar Medicare data, we created VAMC-level annual aggregates of all patients who died of cancer for hospice use, cancer treatment, and/or concurrent receipt of both in the last month of life, dividing all VAMC years into quintiles of exposure to hospice availability. MAIN OUTCOMES AND MEASURES: Receipt of aggressive treatments (2 or more hospital admissions within 30 days, tube feeding, mechanical ventilation, intensive care unit [ICU] admission) and total costs in the first 6 months after diagnosis. RESULTS: Of the 13 085 veterans included in the study, 12 858 (98%) were men; 10 531 (81%) were white, and 5949 (46%) were older than 65 years. Veterans with NSCLC treated in a VAMC in the top hospice quintile (79% hospice users), relative to the bottom quintile (55% hospice users), were more than twice as likely to have concurrent cancer treatment after initiating hospice care (adjusted odds ratio [AOR], 2.28; 95% CI, 1.67-3.31). Nonetheless, for veterans with NSCLC seen in VAMCs in the top hospice quintile, the AOR of receiving aggressive treatment in the 6 months after diagnosis was 0.66 (95% CI, 0.53-0.81), and the AOR of ICU use was 0.78 (95% CI, 0.62-0.99) relative to patients seen in VAMCs in the bottom hospice quintile. The 6-month costs were lower by an estimated $266 (95% CI, -$358 to -$164) per day for the high-quintile group vs the low-quintile group. There was no survival difference. CONCLUSIONS AND RELEVANCE: Increasing the availability of hospice care without restricting treatment access for veterans with advanced lung cancer was associated with less aggressive medical treatment and significantly lower costs while still providing cancer treatment.

Examining the Utility of 30-day Readmission Rates and Hospital Profiling in the Veterans Health Administration.

BACKGROUND: The Veterans Health Administration (VA) reports hospital-specific 30-day risk-standardized readmission rates (RSRRs) using CMS-derived models. OBJECTIVE: The aim of this study was to examine and describe the interfacility variability of 30-day RSRRs for acute myocardial infarction (AMI), heart failure (HF), and pneumonia as a means to assess its utility for VA quality improvement and hospital comparison. RESEARCH DESIGN: A retrospective analysis of VA and Medicare claims data using one-year (2012) and three-year (2010-2012) data given their use for quality improvement or for hospital comparison, respectively. SUBJECTS: This study included 3,571 patients hospitalized for AMI at 56 hospitals, 10,609 patients hospitalized for HF at 102 hospitals, and 10,191 patients hospitalized for pneumonia at 106 hospitals. MEASURES: Hospital-specific 30-day RSRRs for AMI, HF, and pneumonia hospitalizations were calculated using hierarchical generalized linear models. RESULTS: Of 164 qualifying VA hospitals, 56 (34%), 102 (62%), and 106 (64%) qualified for analysis based on CMS criteria for AMI, HF, and pneumonia cohorts, respectively. Using 2012 data, we found that two hospitals (2%) had CHF RSRRs worse than the national average (+95% CI), whereas no hospital demonstrated worse-than-average risk-stratified readmission Rate (RSRR; +95% CI) for AMI or pneumonia. After increasing the number of facility admissions by combining three years of data, we found that four (range: 3.5%-5.3%) hospitals had RSRRs worse than the national average (+95% CI) for all three conditions. CONCLUSIONS: The Centers for Medicare and Medicaid Services-derived 30-day readmission measure may not be a useful measure to distinguish VA interfacility performance or drive quality improvement given the low facility-level volume of such readmissions.

Veterans' Reliance on VA Care by Type of Service and Distance to VA for Nonelderly VA-Medicaid Dual Enrollees.

BACKGROUND: Not much is known about nonelderly veterans and their reliance on care from the Veterans Affairs (VA) health care system when they have access to non-VA care. OBJECTIVES: To estimate VA reliance for nonelderly veterans enrolled in VA and Medicaid. RESEARCH DESIGN: Retrospective, longitudinal analysis of Medicaid claims data and VA administrative data to compare patients' utilization of VA and Medicaid services 12 months before and for up to 12 months after Medicaid enrollment began. SUBJECTS: Nonelderly veterans (below 65 y) receiving VA care and newly enrolled in Medicaid, calendar years 2006-2010 (N=19,890). MEASURES: VA reliance (proportion of care received in VA) for major categories of outpatient and inpatient care. RESULTS: Patients used VA outpatient care at similar levels after enrolling in Medicaid with the exceptions of emergency department (ED) and obstetrics/gynecology care, which decreased. VA inpatient utilization was similar after Medicaid enrollment for most types of care. VA-adjusted outpatient reliance was highest for mental health care (0.99) and lowest for ED care (0.02). VA-adjusted inpatient reliance was highest for respiratory (0.80) and cancer stays (0.80) and lowest for musculoskeletal stays (0.20). Associations between VA reliance and distance to VA providers varied by type of care. CONCLUSIONS: Veterans dually enrolled in Medicaid received most of their outpatient care from the VA except ED, obstetrics/gynecology, and dental care. Patients received most of their inpatient care from Medicaid except mental health, respiratory, and cancer care. Sensitivity to travel distance to VA providers explained some of these differences.

Hospitals lead by poor example: An assessment of snacks, soda, and junk food availability in Veterans Affairs hospitals.

OBJECTIVE: The Veterans Health Administration is the largest integrated health care system fully funded through the US government; however, compliance with government dietary recommendations within Veterans Affairs (VA) hospitals is not well known. The aim of this study was to determine which foods are available at VA hospitals and whether these foods comply with government recommendations. METHODS: Process verification for a Freedom of Information Act request was used to assess government-run inpatient and outpatient VA hospital facilities by accessing the location, quantity, and contents of vending machines. These foods and beverages were then quantified and compared with the US Department of Agriculture Dietary Guidelines for Americans 2015-2020 (eighth edition). RESULTS: Of the beverages supplied, 49% contained >55 g of sugar, supplying >10% of daily calories in added sugar in a single serving. Of all beverages, 50% contained >50 g of added sugar (range 17-77 g per bottle/can). The 65 available food items were comprised of 28% candy, 14% potato chips/puffed corn snacks, 11% pastries/frosted baked goods, 11% crackles/pretzels, and 8% nuts/trail mix, and the remainder consisted of jerky, pork rinds, gum, and popcorn. Nuts/trail mix and granola-items meeting nutritional guidelines-comprised five and three options in total, respectfully. CONCLUSIONS: All VA Hospitals contain vending machines providing a majority of soda, candy, and junk foods that directly conflict with healthy food choice recommendations from US governing health bodies. Few sources meeting US dietary guidelines are available in vending machines at these government-run facilities, which serve as poor examples for patients who are attempting to follow a healthy diet.

Reducing missed oral care opportunities to prevent non-ventilator associated hospital acquired pneumonia at the Department of Veterans Affairs.

Consistently delivered, effective oral care targets bacterial multiplication reducing the risk of non-ventilator associated hospital acquired pneumonia (NV-HAP). AIM: Determine the effect of a twice daily oral care initiative on the incidence and cost of NV-HAP. METHODS: This single arm intervention study used pre/post population data to determine the effectiveness of a universal, standardized oral care protocol vs. usual care in preventing NV-HAP. This phase followed a retrospective study of 14,396 patient days (2002-2012) that determined the pre-intervention levels of nursing care provided, and the overall disease prevalence. RESULTS: The pilot incidence rate on the geriatric units decreased from 105 to 8.3 cases per 1,000 patient days (by 92%) in the first year. The intervention yielded an estimated cost avoidance of $2.84 million and 13 lives saved in 19 months post-implementation. Expansion of this study as quality improvement is in progress at 8 VA hospitals with plans for national VA deployment. CONCLUSIONS: While oral care may seem deceptively simple in terms of base care provision, hospital and nursing services struggle to provide effective oral care delivery with high-reliability. Barriers to oral care include: (1) the perception that oral care is an optional daily care activity for patient's comfort, (2) hospitals supply inadequate, poorly designed oral care materials, and (3) hospitals are not required to monitor the incidence of NV-HAP. The impact of consistently delivered oral care is substantial in terms of Veteran health, quality of life, and well-being in addition to considerable cost avoidance.

Rapid Recovery Total Joint Arthroplasty is Safe, Efficient, and Cost-Effective in the Veterans Administration Setting.

BACKGROUND: Institutional pathways in total joint arthroplasty (TJA) have been shown to reduce costs and improve patient care, but questions remain regarding their efficacy in certain populations. We sought to evaluate the comprehensive effect of a rapid recovery perioperative TJA protocol in the Veterans Health Administration (VA) setting. METHODS: In a VA hospital, a rapid recovery protocol was implemented for all patients undergoing primary total hip or knee arthroplasty. A retrospective chart review was performed comparing pre-protocol (n = 174) and protocol (n = 78) cohorts. Measured outcomes included length of stay (LOS), discharge destination, unplanned readmissions, overall complications, and total cost of healthcare during admission and at 30 and 90 days postoperatively. RESULTS: After implementation of the protocol, the average LOS decreased from 3.2 to 1.7 days (P < .0001). In the protocol group, there was a 12.3% increase in patients discharging directly home (85.1% vs 97.4%, P = .005). There were lower unplanned readmissions (6.3% vs 3.8%, P = .56) and overall complications (7.5% vs 3.8%, P = .40), but these were not statistically significant. The summative cost of all perioperative healthcare was lower after implementation of the protocol during the inpatient stay ($19,015 vs $21,719, P = .002) and out to 30 days postoperatively ($21,083 vs $23,420, P = .03) and 90 days postoperatively ($24,189 vs $26,514, P = .07). CONCLUSION: In the VA setting, implementation of a rapid recovery TJA protocol led to decreased LOS, decreased cost of perioperative healthcare, and an increase in patients discharging directly home without increased readmission or complication rates. Such protocols are essential as we transition into an era of value-based arthroplasty.

Differences in Experiences With Care Between Homeless and Nonhomeless Patients in Veterans Affairs Facilities With Tailored and Nontailored Primary Care Teams.

BACKGROUND: Homeless patients describe poor experiences with primary care. In 2012, the Veterans Health Administration (VHA) implemented homeless-tailored primary care teams (Homeless Patient Aligned Care Team, HPACTs) that could improve the primary care experience for homeless patients. OBJECTIVE: To assess differences in primary care experiences between homeless and nonhomeless Veterans receiving care in VHA facilities that had HPACTs available (HPACT facilities) and in VHA facilities lacking HPACTs (non-HPACT facilities). RESEARCH DESIGN: We used multivariable multinomial regressions to estimate homeless versus nonhomeless patient differences in primary care experiences (categorized as negative/moderate/positive) reported on a national VHA survey. We compared the homeless versus nonhomeless risk differences (RDs) in reporting negative or positive experiences in 25 HPACT facilities versus 485 non-HPACT facilities. SUBJECTS: Survey respondents from non-HPACT facilities (homeless: n=10,148; nonhomeless: n=309,779) and HPACT facilities (homeless: n=2022; nonhomeless: n=20,941). MEASURES: Negative and positive experiences with access, communication, office staff, provider rating, comprehensiveness, coordination, shared decision-making, and self-management support. RESULTS: In non-HPACT facilities, homeless patients reported more negative and fewer positive experiences than nonhomeless patients. However, these patterns of homeless versus nonhomeless differences were reversed in HPACT facilities for the domains of communication (positive experience RDs in non-HPACT versus HPACT facilities=-2.0 and 2.0, respectively); comprehensiveness (negative RDs=2.1 and -2.3), shared decision-making (negative RDs=1.2 and -1.8), and self-management support (negative RDs=0.1 and -4.5; positive RDs=0.5 and 8.0). CONCLUSIONS: VHA facilities with HPACT programs appear to offer a better primary care experience for homeless versus nonhomeless Veterans, reversing the pattern of relatively poor primary care experiences often associated with homelessness.

The Impact of a Change in the Price of VA Health Care on Utilization of VA and Medicare Services.

INTRODUCTION: The passage of the Veterans Access, Choice, and Accountability Act of 2014 has expanded the non-Veteran Affairs (VA) care options for eligible US Veterans. In order for these new arrangements to provide the best care possible for Veterans, it is important to understand the relationship between VA and non-VA care options. The purpose of this study was to use another recent VA policy change, one that increased the reimbursement rate that eligible Veterans receive for travel for health care to VA, to understand the use of VA and Medicare services among Medicare-enrolled Veterans. METHODS: We used a difference-in-difference technique to compare inpatient and outpatient utilization and cost in VA and Medicare between Veterans who were eligible for travel reimbursement and those who were not eligible following 2 increases in the travel reimbursement rate. We used generalized estimating equation models and 2-part models when cost outcomes were rare. RESULTS: Our cohort consisted of 110,007 Medicare-enrolled Veterans, including 25,076 under 65 and 84,931 over 65 years old. Following the travel reimbursement rate increases, the number of VA outpatient encounters increased for Veterans in our cohort regardless of age group or whether living in an urban or rural area. The number of non-VA outpatient encounters decreased significantly for Veterans in both age groups living in rural areas following these policy changes. CONCLUSIONS: Our estimates suggest that VA outpatient care may be a substitute for Medicare outpatient care for Medicare-enrolled Veterans living in rural areas. These results are important because they indicate how Veteran health care utilization might be affected by future policy changes designed to increase access to VA services. They also indicate the ripple effects that may occur in other health systems due to changes in the VA system.