The impact of dual VA-Medicare use on a data-driven clinical management tool for older Veterans with multimorbidity.

BACKGROUND: Healthcare systems are increasingly turning to data-driven approaches, such as clustering techniques, to inform interventions for medically complex older adults. However, patients seeking care in multiple healthcare systems may have missing diagnoses across systems, leading to misclassification of resulting groups. We evaluated the impact of multi-system use on the accuracy and composition of multimorbidity groups among older adults in the Veterans Health Administration (VA). METHODS: Eligible patients were VA primary care users aged ≥65 years and in the top decile of predicted 1-year hospitalization risk in 2018 (n = 558,864). Diagnoses of 26 chronic conditions were coded using a 24-month lookback period and input into latent class analysis (LCA) models. In a random 10% sample (n = 56,008), we compared the resulting model fit, class profiles, and patient assignments from models using only VA system data versus VA with Medicare data. RESULTS: LCA identified six patient comorbidity groups using VA system data. We labeled groups based on diagnoses with higher within-group prevalence relative to the average: Substance Use Disorders (7% of patients), Mental Health (15%), Heart Disease (22%), Diabetes (16%), Tumor (14%), and High Complexity (10%). VA with Medicare data showed improved model fit and assigned more patients with high accuracy. Over 70% of patients assigned to the Substance, Mental Health, High Complexity, and Tumor groups using VA data were assigned to the same group in VA with Medicare data. However, 41.9% of the Heart Disease group and 14.7% of the Diabetes group were reassigned to a new group characterized by multiple cardiometabolic conditions. CONCLUSIONS: The addition of Medicare data to VA data for older high-risk adults improved clustering model accuracy and altered the clinical profiles of groups. Accessing or accounting for multi-system data is key to the success of interventions based on empiric grouping in populations with dual-system use.

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

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

Care processes and racial/ethnic differences in family reports of end-of-life care among Veterans: A mediation analysis.

BACKGROUND: Bereaved family members of racial/ethnic minority Veterans are less likely than families of White Veterans to provide favorable overall ratings of end-of-life (EOL) care quality; however, the underlying mechanisms for these differences have not been explored. The objective of this study was to examine whether a set of EOL care process measures mediated the association between Veteran race/ethnicity and bereaved families' overall rating of the quality of EOL care in VA medical centers (VAMCs). METHODS: A retrospective, cross-sectional analysis of linked Bereaved Family Survey (BFS), administrative and clinical data was conducted. The sample included 17,911 Veterans (mean age: 73.7; SD: 11.6) who died on an acute or intensive care unit across 121 VAMCs between October 2010 and September 2015. Mediation analyses were used to assess whether five care processes (potentially burdensome transitions, high-intensity EOL treatment, and the BFS factors of Care and Communication, Emotional and Spiritual Support, and Death Benefits) significantly affected the association between Veteran race/ethnicity and a poor/fair BFS overall rating. RESULTS: Potentially burdensome transitions, high-intensity EOL treatment, and the three BFS factors of Care and Communication, Emotional and Spiritual Support, and Death Benefits did not substantially mediate the relationship between Veteran race/ethnicity and poor/fair overall ratings of quality of EOL care by bereaved family members. CONCLUSIONS: The reasons underlying poorer ratings of quality of EOL care among bereaved family members of racial/ethnic minority Veterans remain largely unexplained. More research on identifying potential mechanisms, including experiences of racism, and the unique EOL care needs of racial and ethnic minority Veterans and their families is warranted.

Caregiver and provider perspectives on dual VA and Medicare Part D medication use in veterans with suspected dementia or cognitive impairment.

PURPOSE: Many older veterans with dementia fill prescriptions through both Veterans Affairs (VA) and Medicare Part D benefits. Dual VA/Part D medication use may have unintended negative consequences in terms of prescribing safety and quality. We aimed to characterize benefits and drawbacks of dual VA/Part D medication use in veterans with dementia or cognitive impairment from the perspectives of caregivers and providers. METHODS: This was a qualitative study based on semistructured telephone interviews of 2 groups: (1) informal caregivers accompanying veterans with suspected dementia or cognitive impairment to visits at a VA Geriatric Evaluation and Management clinic (n = 11) and (2) VA healthcare providers of veterans with dementia who obtained medications via VA and Part D (n = 12). We conducted semistructured telephone interviews with caregivers and providers about benefits and drawbacks of dual VA/Part D medication use. Interview transcripts were subjected to qualitative content analysis to identify key themes. RESULTS: Caregivers and providers both described cost and convenience benefits to dual VA/Part D medication use. Caregivers reported drawbacks including poor communication between VA and non-VA providers and difficulty managing medications from multiple systems. Providers reported potential safety risks including communication barriers, conflicting care decisions, and drug interactions. CONCLUSION: Results of this study allow for understanding of potential policy interventions to better manage dual VA/Part D medication use for older veterans with dementia or cognitive impairment at a time when VA is expanding access to non-VA care.

Evaluation of Low-Value Diagnostic Testing for 4 Common Conditions in the Veterans Health Administration.

Importance: Low-value care is associated with harm among patients and with wasteful health care spending but has not been well characterized in the Veterans Health Administration. Objectives: To characterize the frequency of and variation in low-value diagnostic testing for 4 common conditions at Veterans Affairs medical centers (VAMCs) and to examine the correlation between receipt of low-value testing for each condition. Design, Setting, and Participants: This retrospective cohort study used Veterans Health Administration data from 127 VAMCs from fiscal years 2014 to 2015. Data were analyzed from April 2018 to March 2020. Exposures: Continuous enrollment in Veterans Health Administration during fiscal year 2015. Main Outcomes and Measures: Receipt of low-value testing for low back pain, headache, syncope, and sinusitis. For each condition, sensitive and specific criteria were used to evaluate the overall frequency and range of low-value testing, adjusting for sociodemographic and VAMC characteristics. VAMC-level variation was calculated using median adjusted odds ratios. The Pearson correlation coefficient was used to evaluate the degree of correlation between low-value testing for each condition at the VAMC level. Results: Among 1 022 987 veterans, the mean (SD) age was 60 (16) years, 1 008 336 (92.4%) were male, and 761 485 (69.8%) were non-Hispanic White. A total of 343 024 veterans (31.4%) were diagnosed with low back pain, 79 176 (7.3%) with headache, 23 776 (2.2%) with syncope, and 52 889 (4.8%) with sinusitis. With the sensitive criteria, overall and VAMC-level low-value testing frequency varied substantially across conditions: 4.6% (range, 2.7%-10.1%) for sinusitis, 12.8% (range, 8.6%-22.6%) for headache, 18.2% (range, 10.9%-24.6%) for low back pain, and 20.1% (range, 16.3%-27.7%) for syncope. With the specific criteria, the overall frequency of low-value testing across VAMCs was 2.4% (range, 1.3%-5.1%) for sinusitis, 8.6% (range, 6.2%-14.6%) for headache, 5.6% (range, 3.6%-7.7%) for low back pain, and 13.3% (range, 11.3%-16.8%) for syncope. The median adjusted odds ratio ranged from 1.21 for low back pain to 1.40 for sinusitis. At the VAMC level, low-value testing was most strongly correlated for syncope and headache (ρ = 0.56; P < .001) and low back pain and headache (ρ = 0.48; P < .001). Conclusions and Relevance: In this cohort study, low-value diagnostic testing was common, varied substantially across VAMCs, and was correlated between veterans' receipt of different low-value tests at the VAMC level. The findings suggest a need to address low-value diagnostic testing, even in integrated health systems, with robust utilization management practices.

Impact of deprescribing AChEIs on aggressive behaviors and antipsychotic prescribing.

INTRODUCTION: We evaluated the impact of deprescribing acetylcholinesterase inhibitors (AChEIs) on aggressive behaviors and incident antipsychotic use in nursing home (NH) residents with severe dementia. METHODS: We conducted a retrospective study of Medicare claims, Part D, Minimum Data Set for NH residents aged 65+ with severe dementia receiving AChEIs in 2016. Aggressive behaviors were measured using the aggressive behavior scale (ABS; n = 30,788). Incident antipsychotic prescriptions were evaluated among antipsychotic non-users (n = 25,188). Marginal structural models and inverse probability of treatment weights were used to evaluate associations of AChEI deprescribing and outcomes. RESULTS: The severity of aggressive behaviors was low at baseline (mean ABS = 0.5) and was not associated with deprescribing AChEIs (0.002 increase in ABS, P = .90). Incident antipsychotic prescribing occurred in 5.1% of residents and was less likely with AChEI deprescribing (adjusted odds ratio = 0.52 [0.40-0.68], P <.001]). DISCUSSION: Deprescribing AChEIs was not associated with a worsening of aggressive behaviors or incident antipsychotic prescriptions.

Identifying sociodemographic profiles of veterans at risk for high-dose opioid prescribing using classification and regression trees.

OBJECTIVE: To identify sociodemographic profiles of patients prescribed high-dose opioids. DESIGN: Cross-sectional cohort study. SETTING/PATIENTS: Veterans dually-enrolled in Veterans Health Administration and Medicare Part D, with ≥1 opioid pre-scription in 2012. MAIN OUTCOME MEASURES: We identified five patient-level demographic characteristics and 12 community variables re-flective of region, socioeconomic deprivation, safety, and internet connectivity. Our outcome was the proportion of vet-erans receiving >120 morphine milligram equivalents (MME) for ≥90 consecutive days, a Pharmacy Quality Alliance measure of chronic high-dose opioid prescribing. We used classification and regression tree (CART) methods to identify risk of chronic high-dose opioid prescribing for sociodemographic subgroups. RESULTS: Overall, 17,271 (3.3 percent) of 525,716 dually enrolled veterans were prescribed chronic high-dose opioids. CART analyses identified 35 subgroups using four sociodemographic and five community-level measures, with high-dose opioid prescribing ranging from 0.28 percent to 12.1 percent. The subgroup (n = 16,302) with highest frequency of the outcome included veterans who were with disability, age 18-64 years, white or other race, and lived in the Western Census region. The subgroup (n = 14,835) with the lowest frequency of the outcome included veterans who were with-out disability, did not receive Medicare Part D Low Income Subsidy, were >85 years old, and lived in communities within the second and sixth to tenth deciles of community public assistance. CONCLUSIONS: Using CART analyses with sociodemographic and community-level variables only, we identified sub-groups of veterans with a 43-fold difference in chronic high-dose opioid prescriptions. Interactions among disability, age, race/ethnicity, and region should be considered when identifying high-risk subgroups in large populations.

Risk for Health Events After Deprescribing Acetylcholinesterase Inhibitors in Nursing Home Residents With Severe Dementia.

BACKGROUND/OBJECTIVE: Reevaluation of the appropriateness of acetylcholinesterase inhibitors (AChEIs) is recommended in older adults with severe dementia, given the lack of strong evidence to support their continued effectiveness and risk for medication-induced adverse events. We sought to evaluate the impact of deprescribing AChEIs on risk of all-cause events (hospitalizations, emergency department visits, and mortality) and serious falls or fractures in older nursing home (NH) residents with severe dementia. DESIGN: Analysis of 2015 to 2016 data from Medicare claims, Part D prescriptions, Minimum Data Set (MDS) version 3.0, Area Health Resource File, and Nursing Home Compare. Marginal structural models with inverse probability of treatment weights were used to evaluate the association of deprescribing AChEIs and all-cause negative events as well as serious falls or fractures. SETTING: US Medicare-certified NHs. PARTICIPANTS: Nonskilled NH residents, aged 65 years and older, with severe dementia receiving AChEIs within the first 14 days of an MDS assessment in 2016 (n = 37 106). RESULTS: The sample was primarily white (78.7%), female (75.5%), and aged 80 years or older (77.4%). Deprescribing AChEIs was associated with an increased likelihood of all-cause negative events in unadjusted models (odds ratio [OR] = 1.17; 95% confidence interval [CI] = 1.11-1.23; P < .01), but not in fully adjusted models (adjusted OR [aOR] = 1.00; 95% CI = 0.94-1.06; P = .94). By contrast, deprescribing was associated with a reduced likelihood of serious falls or fractures in unadjusted models (OR = 0.59; 95% CI = 0.52-0.66; P < .001) and remained significant in adjusted models (aOR = 0.64; 95% CI = 0.56-0.73; P < .001). CONCLUSION: Deprescribing AChEIs was not associated with a significant increase in the likelihood for all-cause negative events and was associated with a reduced likelihood of falls and fractures in older NH residents with dementia. Our findings suggest that deprescribing AChEIs is a reasonable approach to reduce the risk of serious falls or fractures without increasing the risk for all-cause events. J Am Geriatr Soc 68:699-707, 2020.

Low-Value Prostate Cancer Screening Among Older Men Within the Veterans Health Administration.

BACKGROUND/OBJECTIVES: Prostate-specific antigen (PSA) screening can be of low value in older adults. Our objective was to quantify the prevalence and variation of low-value PSA screening across the Veterans Health Administration (VA), which has instituted programs to reduce low-value care. DESIGN: Retrospective cohort. SETTING: VA administrative data, 2014 to 2015. PARTICIPANTS: National random sample (N = 214 480) of male veterans, aged 75 years or older. MEASUREMENTS: We defined PSA screening in men aged 75 years or older without a history of prostate cancer as low value, per established definitions in Medicare. We calculated screening rates overall and by VA Medical Center (VAMC), adjusting for patient and VAMC-level factors. We characterized variation across VAMCs using the adjusted median odds ratio (OR) and compared the adjusted OR of screening between VAMCs in different deciles of low-value screening rates. In separate sensitivity analyses, we assessed screening in veterans at greatest risk of 1-year mortality and among veterans after excluding those who underwent prostatectomy, had a prior PSA elevation, or had a clinical indication for testing. RESULTS: Overall, 37 867 (17.7%) of veterans underwent low-value PSA screening (VAMC range = 3.3%-38.2%). The adjusted median OR was 1.88, meaning the median odds of screening would increase by 88% were a veteran to transfer his care to a VAMC with higher screening rates. Veterans at VAMCs in the top decile had an adjusted OR of 12.9 (95% confidence interval = 11.0-15.2) compared to those veterans in the lowest decile. Among veterans with the greatest mortality risk (n = 23 377), 3496 (15.0%) underwent screening (VAMC range = 1.7%-46.3%). After excluding veterans with a prior prostatectomy, PSA elevation, or a potential clinical indication, 31 556 (14.7%) underwent screening (VAMC range = 2.0%-49.9%). CONCLUSIONS: In a national cohort of older veterans, more than one in six received low-value PSA screening, with greater than 10-fold variation across VAMCs and high rates of screening among those with the greatest mortality risk. J Am Geriatr Soc 67:1922-1927, 2019.

Factors Associated With Deprescribing Acetylcholinesterase Inhibitors in Older Nursing Home Residents With Severe Dementia.

BACKGROUND/OBJECTIVE: Uncertainty regarding benefits and risks associated with acetylcholinesterase inhibitors (AChEIs) in severe dementia means providers do not know if and when to deprescribe. We sought to identify which patient-, provider-, and system-level characteristics are associated with AChEI discontinuation. DESIGN: Analysis of 2015 to 2016 data from Medicare claims, Part D prescriptions, Minimum Data Set (MDS), version 3.0, Area Health Resource File, and Nursing Home Compare. Cox-proportional hazards models with time-varying covariates were used to identify patient-, provider-, and system-level factors associated with AChEI discontinuation (30-day or more gap in supply). SETTING: US Medicare-certified nursing homes (NHs). PARTICIPANTS: Nonskilled NH residents, aged 65 years and older, with severe dementia receiving AChEIs within the first 14 days of an MDS assessment in 2016 (n = 37 106). RESULTS: The sample was primarily white (78.7%), female (75.5%), and aged 80 years or older (77.4%). The most commonly prescribed AChEIs were donepezil (77.8%), followed by transdermal rivastigmine (14.6%). The cumulative incidence of AChEI discontinuation was 29.7% at the end of follow-up (330 days), with mean follow-up times of 194 days for continuous users of AChEIs and 105 days for those who discontinued. Factors associated with increased likelihood of discontinuation were new admission, older age, difficulty being understood, aggressive behavior, poor appetite, weight loss, mechanically altered diet, limited prognosis designation, hospitalization in 90 days prior, and northeastern region. Factors associated with decreased likelihood of discontinuation included memantine use, use of strong anticholinergics, polypharmacy, rurality, and primary care prescriber vs geriatric specialist. CONCLUSION: Among NH residents with severe dementia being treated with AChEIs, the cumulative incidence of AChEI discontinuation was just under 30% at 1 year of follow-up. Our findings provide insight into potential drivers of deprescribing AChEIs, identify system-level barriers to deprescribing, and help to inform covariates that are needed to address potential confounding in studies evaluating the potential risks and benefits associated with deprescribing. J Am Geriatr Soc 67:1871-1879, 2019.

Dual Receipt of Prescription Opioids From the Department of Veterans Affairs and Medicare Part D and Prescription Opioid Overdose Death Among Veterans: A Nested Case-Control Study.

Background: More than half of enrollees in the U.S. Department of Veterans Affairs (VA) are also covered by Medicare and can choose to receive their prescriptions from VA or from Medicare-participating providers. Such dual-system care may lead to unsafe opioid use if providers in these 2 systems do not coordinate care or if prescription use is not tracked between systems. Objective: To evaluate the association between dual-system opioid prescribing and death from prescription opioid overdose. Design: Nested case-control study. Setting: VA and Medicare Part D. Participants: Case and control patients were identified from all veterans enrolled in both VA and Part D who filled at least 1 opioid prescription from either system. The 215 case patients who died of a prescription opioid overdose in 2012 or 2013 were matched (up to 1:4) with 833 living control patients on the basis of date of death (that is, index date), using age, sex, race/ethnicity, disability, enrollment in Medicaid or low-income subsidies, managed care enrollment, region and rurality of residence, and a medication-based measure of comorbid conditions. Measurements: The exposure was the source of opioid prescriptions within 6 months of the index date, categorized as VA only, Part D only, or VA and Part D (that is, dual use). The outcome was unintentional or undetermined-intent death from prescription opioid overdose, identified from the National Death Index. The association between this outcome and source of opioid prescriptions was estimated using conditional logistic regression with adjustment for age, marital status, prescription drug monitoring programs, and use of other medications. Results: Among case patients, the mean age was 57.3 years (SD, 9.1), 194 (90%) were male, and 181 (84%) were non-Hispanic white. Overall, 60 case patients (28%) and 117 control patients (14%) received dual opioid prescriptions. Dual users had significantly higher odds of death from prescription opioid overdose than those who received opioids from VA only (odds ratio [OR], 3.53 [95% CI, 2.17 to 5.75]; P < 0.001) or Part D only (OR, 1.83 [CI, 1.20 to 2.77]; P = 0.005). Limitation: Data are from 2012 to 2013 and cannot capture prescriptions obtained outside the VA or Medicare Part D systems. Conclusion: Among veterans enrolled in VA and Part D, dual use of opioid prescriptions was independently associated with death from prescription opioid overdose. This risk factor for fatal overdose among veterans underscores the importance of care coordination across health care systems to improve opioid prescribing safety. Primary Funding Source: U.S. Department of Veterans Affairs.

Economic and objective burden of caregiving on informal caregivers of patients with systemic vasculitis.

INTRODUCTION: Systemic vasculitis (SV) is associated with substantial economic impact to patients and the healthcare system but little is known about the burden of SV on informal caregivers. We evaluated the objective caregiving burden experienced by informal caregivers of patients with SV. METHODS: We surveyed adult patients and their informal caregivers on the physical, emotional, social and economic impacts of SV. We asked patients about the extent to which they felt they were a burden to their identified caregivers. Caregivers reported the direct and indirect economic impact of SV, including employment disturbance, income loss and relative time investment of caregiving for their care recipient's SV. We used the Inventory of Caregiving Activities Questionnaire to compute the objective caregiving burden. RESULTS: We analysed data from 68 SV patient-caregiver dyads. Patients reported moderate levels of subjective burden to their caregivers. Over one-quarter of caregivers reported ever having lost some income owing to caregiving for SV. Caregivers reported spending a median of 19 weekly hours on various caregiving tasks, including a median 17 weekly hours on household activities. DISCUSSION: Given the extended hours that caregivers spend caring for their care recipient, intervention targets should aim to reduce caregiver burnout in the SV population. Future research should examine the relationship between the objective burden of caregiving for SV and the overall physical health, mental health and quality of life of caregivers.

Patterns of opioid prescriptions received prior to unintentional prescription opioid overdose death among Veterans.

BACKGROUND: Few studies have assessed prescription opioid supply preceding death in individuals dying from unintentional prescription opioid overdoses, or described the characteristics of these individuals, particularly among Veterans. OBJECTIVES: To describe the history of prescription opioid supply preceding prescription opioid overdose death among Veterans. METHODS: In a national cohort of Veterans who filled ≥1 opioid prescriptions from the Veterans Health Administration (VA) or Medicare Part D during 2008-2013, we identified deaths from unintentional or undetermined-intent prescription opioid overdoses in 2012-2013. We captured opioid prescriptions using both linked VA and Part D data, and VA data only. RESULTS: Among 1181 decedents, 643 (54.4%) had prescription opioid supply on the day of death, and 735 (62.2%) within 30 days based on linked data, compared to 40.1% and 46.7%, respectively, using VA data alone. Decedents with prescription opioid supply were significantly older and less likely to have alcohol or illicit drugs as co-occurring substances involved in the overdose. Using linked data, 241 (20.4%) decedents lacked prescription opioid supply within a year of death. CONCLUSIONS: Many VA patients who die from prescription opioid overdose receive opioid prescriptions outside VA or not at all. It is important to supplement VA with non-VA data to more accurately measure prescription opioid exposure and improve opioid medication safety.

Characteristics of dual drug benefit use among veterans with dementia enrolled in the Veterans Health Administration and Medicare Part D.

BACKGROUND: Obtaining prescription medications from multiple health systems may complicate coordination of care. Older Veterans who obtain medications concurrently through Veterans Affairs (VA) benefits and Medicare Part D benefits (dual users) are at higher risk of unintended negative outcomes. OBJECTIVE: To explore characteristics predicting dual drug benefit use from both VA and Medicare Part D in a national sample of older Veterans with dementia. METHODS: Administrative data were obtained from the VA and Medicare for a national sample of 110,828 Veterans with dementia ages 68 and older in 2010. Veterans were classified into three drug benefit user groups based on the source of all prescription medications they obtained in 2010: VA-only, Part D-only, and Dual Use. Multinomial logistic regression was used to examine predictors of drug benefit user group. The source of prescriptions was described for each of the ten most frequently used drug classes and opioids. RESULTS: Fifty-six percent of Veterans received all of their prescription medications from VA-only, 28% from Part D-only, and 16% from both VA and Part D. Veterans who were eligible for Medicaid or who had a priority group score conferring less generous drug benefits within the VA were more likely to be Part D-only or dual users. Nearly one fourth of Veterans taking opioids concurrently received opioid prescriptions from dual sources (24.7%). CONCLUSIONS: Medicaid eligibility and Veteran priority group status, which largely decrease copayments for drugs obtained outside versus within the VA, respectively, were the main factors predicting drug user benefit group. Policies to encourage single-system prescribing and enhance communication across health systems are crucial to preventing negative health outcomes related to care fragmentation.

Effect of Dual Use of Veterans Affairs and Medicare Part D Drug Benefits on Antihypertensive Medication Supply in a National Cohort of Veterans with Dementia.

OBJECTIVE: To evaluate the effect of dual use of VA/Medicare Part D drug benefits on antihypertensive medication supply in older Veterans with dementia. DATA SOURCES/STUDY SETTING: National, linked 2007-2010 Veterans Affairs (VA) and Medicare utilization and prescription records for 50,763 dementia patients with hypertension. STUDY DESIGN: We used inverse probability of treatment (IPT)-weighted multinomial logistic regression to examine the association of dual prescription use with undersupply and oversupply of antihypertensives. DATA COLLECTION/EXTRACTION METHODS: Veterans Affairs and Part D prescription records were used to classify patients as VA-only, Part D-only, or dual VA/Part D users of antihypertensives and summarize their antihypertensive medication supply in 2010: (1) appropriate supply of all prescribed antihypertensive classes, (2) undersupply of ≥1 class with no oversupply of another class, (3) oversupply of ≥1 class with no undersupply, or (4) both undersupply and oversupply. PRINCIPAL FINDINGS: Dual prescription users were more likely than VA-only users to have undersupply only (aOR = 1.28; 95 percent CI = 1.18-1.39), oversupply only (aOR = 2.38; 95 percent CI = 2.15-2.64), and concurrent under- and oversupply (aOR = 2.89; 95 percent CI = 2.53-3.29), versus appropriate supply of all classes. CONCLUSIONS: Obtaining antihypertensives through both VA and Part D was associated with increased antihypertensive under- and oversupply. Efforts to understand how best to coordinate dual-system prescription use are critically needed.

Receipt of Overlapping Opioid and Benzodiazepine Prescriptions Among Veterans Dually Enrolled in Medicare Part D and the Department of Veterans Affairs: A Cross-sectional Study.

Background: Overlapping use of opioids and benzodiazepines is associated with increased risk for overdose. Veterans receiving medications concurrently from the U.S. Department of Veterans Affairs (VA) and Medicare may be at higher risk for such overlap. Objective: To assess the association between dual use of VA and Medicare drug benefits and receipt of overlapping opioid and benzodiazepine prescriptions. Design: Cross-sectional. Setting: VA and Medicare. Participants: All veterans enrolled in VA and Medicare Part D who filled at least 2 opioid prescriptions in 2013 (n = 368 891). Measurements: Outcomes were the proportion of patients with a Pharmacy Quality Alliance (PQA) measure of opioid-benzodiazepine overlap (≥2 filled prescriptions for benzodiazepines with ≥30 days of overlap with opioids) and the proportion of patients with high-dose opioid-benzodiazepine overlap (≥30 days of overlap with a daily opioid dose >120 morphine milligram equivalents). Augmented inverse probability weighting regression was used to compare these measures by prescription drug source: VA only, Medicare only, or VA and Medicare (dual use). Results: Of 368 891 eligible veterans, 18.3% received prescriptions from the VA only, 30.3% from Medicare only, and 51.4% from both VA and Medicare. The proportion with PQA opioid-benzodiazepine overlap was larger for the dual-use group than the VA-only group (23.1% vs. 17.3%; adjusted risk ratio [aRR], 1.27 [95% CI, 1.24 to 1.30]) and Medicare-only group (23.1% vs. 16.5%; aRR, 1.12 [CI, 1.10 to 1.14]). The proportion with high-dose overlap was also larger for the dual-use group than the VA-only group (4.7% vs. 2.3%; aRR, 2.23 [CI, 2.10 to 2.36]) and Medicare-only group (4.7% vs. 2.9%; aRR, 1.06 [CI, 1.02 to 1.11]). Limitation: Data are from 2013 and cannot capture medications purchased without insurance; unmeasured confounding may remain in this cross-sectional study. Conclusion: Among a national cohort of veterans dually enrolled in VA and Medicare, receiving prescriptions from both sources was associated with greater risk for receiving potentially unsafe overlapping prescriptions for opioids and benzodiazepines. Primary Funding Source: U.S. Department of Veterans Affairs.

Economic Burden Associated with Receiving Inhaled Corticosteroids with Leukotriene Receptor Antagonists or Long-Acting Beta Agonists as Combination Therapy in Older Adults.

BACKGROUND: There is a paucity of literature on the health care expenditures associated with different pharmacologic treatments in older adults with asthma that is not well controlled on inhaled corticosteroids (ICS). OBJECTIVE: To compare asthma-related and all-cause health care expenditures associated with leukotriene receptor antagonists (LTRA) versus long-acting beta agonists (LABA) when added to ICS in older adults with asthma. METHODS: A retrospective cohort was constructed using 2009-2010 Medicare fee-for-service medical and pharmacy claims from a 10% random sample of beneficiaries continuously enrolled in Parts A, B, and D in 2009. The sample comprised patients who were aged 65 years and older, diagnosed with asthma, and treated exclusively with ICS + LABA or ICS + LTRA. Outcomes assessed were asthma-related expenditures (medical, pharmacy, and total) and all-cause health care expenditures (medical, pharmacy, and total). Outcomes were measured from the date of the first prescription for the add-on treatment (LABA or LTRA in combination with ICS) after having at least a 4-month "wash-in" period in which patients were receiving no controller, ICS alone, or ICS plus the add-on treatment of the follow-up period. Patients were followed until death, switching to or adding the other add-on treatment, or the end of the study (December 31, 2010). Multivariable regression models with nonparametric bootstrapped standard errors were used to compare all-cause and asthma-related expenditures per patient per month (PPPM) between ICS + LABA and ICS + LTRA users. All models were adjusted for demographics, comorbidities, and county-level health care access variables. RESULTS: The primary analysis included 14,702 patients, of whom 12,940 were treated with ICS + LABA and 1,762 were treated with ICS + LTRA. The mean (SD) follow-up periods were 12.3 (± 5.7) months for the ICS + LABA group and 15.3 (± 5.1) months for the ICS + LTRA group. Adjusted asthma-related expenditures PPPM were $400 for the ICS + LTRA group compared with $286 for the ICS + LABA group (P < 0.001). However, adjusted total all-cause expenditure PPPM was significantly lower for patients treated with ICS + LTRA ($6,087 for ICS + LTRA compared with $6,975 for ICS + LABA, P = 0.029). CONCLUSIONS: Older adults with asthma often experience economic burden from asthma and other chronic illnesses. Compared with ICS + LTRA, ICS + LABA was associated with lower asthma-related expenditures but with higher all-cause expenditures in older adults. DISCLOSURES: Support for this study was provided by the University of Pittsburgh School of Pharmacy and the Pittsburgh Claude D. Pepper Older Americans Independence Center (NIA P30 AGAG024827). C. Thorpe reports grants from the National Institute of Aging during the conduct of this study. The other authors have nothing to disclose.

Impact of Dual Use of Department of Veterans Affairs and Medicare Part D Drug Benefits on Potentially Unsafe Opioid Use.

OBJECTIVES: To estimate the prevalence and consequences of receiving prescription opioids from both the Department of Veterans Affairs (VA) and Medicare Part D. METHODS: Among US veterans enrolled in both VA and Part D filling 1 or more opioid prescriptions in 2012 (n = 539 473), we calculated 3 opioid safety measures using morphine milligram equivalents (MME): (1) proportion receiving greater than 100 MME for 1 or more days, (2) mean days receiving greater than 100 MME, and (3) proportion receiving greater than 120 MME for 90 consecutive days. We compared these measures by opioid source. RESULTS: Overall, 135 643 (25.1%) veterans received opioids from VA only, 332 630 (61.7%) from Part D only, and 71 200 (13.2%) from both. The dual-use group was more likely than the VA-only group to receive greater than 100 MME for 1 or more days (34.3% vs 10.9%; adjusted risk ratio [ARR] = 3.0; 95% confidence interval [CI] = 2.9, 3.1), have more days with greater than 100 MME (42.5 vs 16.9 days; adjusted difference = 16.4 days; 95% CI = 15.7, 17.2), and to receive greater than 120 MME for 90 consecutive days (7.8% vs 3.1%; ARR = 2.2; 95% CI = 2.1, 2.3). CONCLUSIONS: Among veterans dually enrolled in VA and Medicare Part D, dual use of opioids was associated with more than 2 to 3 times the risk of high-dose opioid exposure.

Intensive care unit drug costs in the context of total hospital drug expenditures with suggestions for targeted cost containment efforts.

PURPOSE: To assess costs of intensive care unit (ICU) related pharmacotherapy relative to hospital drug expenditures, and to identify potential targets for cost-effectiveness investigations. We offer the unique advantage of comparing ICU drug costs with previously published data a decade earlier to describe changes over time. MATERIALS AND METHODS: Financial transactions for all ICU patients during fiscal years (FY) 2009-2012 were retrieved from the hospital's data repository. ICU drug costs were evaluated for each FY. ICU departments' charges were also retrieved and calculated as percentages of total ICU charges. RESULTS: Albumin, prismasate (dialysate), voriconazole, factor VII and alteplase denoted the highest percentages of ICU drug costs. ICU drug costs contributed to an average of 31% (SD 1.0%) of the hospital's total drug costs. ICU drug costs per patient day increased by 5.8% yearly versus 7.8% yearly for non-ICU drugs. This rate was higher for ICU drugs costs at 12% a decade previous. Pharmacy charges contributed to 17.7% of the total ICU charges. CONCLUSIONS: Growth rates of costs per year have declined but still drug expenditures in the ICU are consistently a significant driver in this resource intensive environment with a high impact on hospital drug expenditures.

Healthcare utilization and expenditures for United States Medicare beneficiaries with systemic vasculitis.

OBJECTIVE: The Medicare federal insurance program is the most common United States insurer of patients with systemic vasculitis (SV). We compared healthcare utilization and expenditures for Medicare beneficiaries with versus without SV. METHODS: This national, retrospective study used 2010 claims and enrollment data for a 100% cohort of Medicare Part A and B beneficiaries with ≥1 claim including a diagnosis for a form of SV (n = 176,498), and a randomly selected group of non-SV beneficiaries (n = 46,561). Outcomes included annual counts of events in 16 categories of medical services (e.g., inpatient stays, physician visits, tests, and imaging events), and total annual Medicare and patient medical expenditures. We used linear regression with bootstrapped standard errors to compare utilization and expenditures by SV status, before and after matching on age and sex. Prescription drug fills and expenditures for SV (n = 95,157) and non-SV (n = 24,992) beneficiaries with Part D drug benefits were also compared. RESULTS: After matching, Medicare spent $11,004 more per patient in 2010 for medical services, and $773 more on prescription drugs, for SV versus non-SV beneficiaries. SV beneficiaries spent $1547 more for medical services and $211 more for prescription drugs. Except for hospice, SV beneficiaries had greater utilization of all services, including two-to-three times more dialysis events, hospital readmissions, inpatient stays, skilled nursing facility stays, and medical tests. CONCLUSIONS: The average Medicare beneficiary with SV incurs about double the annual healthcare expenditures compared to their non-SV counterparts, attributable to increased utilization of almost all categories of care.