Clinician and Family Caregiver Perspectives on Deprescribing Chronic Disease Medications in Older Nursing Home Residents Near the End of Life.

INTRODUCTION: Nursing home (NH) residents with limited life expectancy (LLE) who are intensely treated for hyperlipidemia, hypertension, or diabetes may benefit from deprescribing. OBJECTIVE: This study sought to describe NH clinician and family caregiver perspectives on key influences on deprescribing decisions for chronic disease medications in NH residents near the end of life. METHODS: We recruited family caregivers of veterans who recently died in a Veterans Affairs (VA) NH, known as community living centers (CLCs), and CLC healthcare clinicians (physicians, nurse practitioners, physician assistants, pharmacists, registered nurses). Respondents completed semi-structured interviews about their experiences with deprescribing statin, antihypertensive, and antidiabetic medications for residents near end of life. We conducted thematic analysis of interview transcripts to identify key themes regarding influences on deprescribing decisions. RESULTS: Thirteen family caregivers and 13 clinicians completed interviews. Key themes included (1) clinicians and caregivers both prefer to minimize drug burden; (2) clinical factors strongly influence deprescribing of chronic disease medications, with differences in how clinicians and caregivers weigh specific factors; (3) caregivers trust and rely on clinicians to make deprescribing decisions; (4) clinicians perceive caregiver involvement and buy-in as essential to deprescribing decisions, which requires time and effort to obtain; and (5) clinicians perceive conflicting care from other clinicians as a barrier to deprescribing. CONCLUSIONS: Findings suggest a need for efforts to encourage communication with and education for family caregivers of residents with LLE about deprescribing, and to foster better collaboration among clinicians in CLC and non-CLC settings.

Opioid and High-Risk Prescribing Among Racial and Ethnic Minority Veterans.

INTRODUCTION: The purpose of this study is to compare opioid prescribing and high-risk prescribing by race and ethnicity in a national cohort of U.S. veterans. METHODS: A cross-sectional analysis of veteran characteristics and healthcare use was performed on electronic health record data for 2018 Veterans Health Administration users and enrollees in 2022. RESULTS: Overall, 14.8% received an opioid prescription. The adjusted odds of being prescribed an opioid were lower for all race/ethnicity groups than for non-Hispanic White veterans, except for non-Hispanic multiracial (AOR=1.03; 95% CI=0.999, 1.05) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=1.03, 1.09) veterans. The odds of any day of overlapping opioid prescriptions (i.e., opioid overlap) were lower for all race/ethnicity groups than for the non-Hispanic White group, except for the non-Hispanic American Indian/Alaska Native group (AOR=1.01; 95% CI=0.96, 1.07). Similarly, all race/ethnicity groups had lower odds of any day of daily dose >120 morphine milligram equivalents than the non-Hispanic White group, except for the non-Hispanic multiracial (AOR=0.96; 95% CI=0.87, 1.07) and non-Hispanic American Indian/Alaska Native (AOR=1.06; 95% CI=0.96, 1.17) groups. Non-Hispanic Asian veterans had the lowest odds for any day of opioid overlap (AOR=0.54; 95% CI=0.50, 0.57) and daily dose >120 morphine milligram equivalents (AOR=0.43; 95% CI=0.36, 0.52). For any day of opioid-benzodiazepine overlap, all races/ethnicities had lower odds than non-Hispanic White. Non-Hispanic Black/African American (AOR=0.71; 95% CI=0.70, 0.72) and non-Hispanic Asian (AOR=0.73; 95% CI=0.68, 0.77) veterans had the lowest odds of any day of opioid-benzodiazepine overlap. CONCLUSIONS: Non-Hispanic White and non-Hispanic American Indian/Alaska Native veterans had the greatest likelihood to receive an opioid prescription. When an opioid was prescribed, high-risk prescribing was more common in White and American Indian/Alaska Native veterans than in all other racial/ethnic groups. As the nation's largest integrated healthcare system, the Veterans Health Administration can develop and test interventions to achieve health equity for patients experiencing pain.

Comparing Outpatient Opioids, High-Risk Prescribing, and Opioid Poisoning Between Transgender and Cisgender Veterans: A Cross-sectional Analysis.

INTRODUCTION: Transgender veterans have a high prevalence of substance use disorder and physical and mental-health comorbidities, which are associated with prescription opioid use and overdose risk. This study compares receipt of outpatient opioids, high-risk opioid prescribing, and opioid poisoning between transgender and cisgender (i.e., nontransgender) veterans. METHODS: A secondary analysis of Veterans Health Administration health record data from January 1, 2018 to December 31, 2018 was conducted in 2021. Transgender veterans (n=9,686) were randomly matched to 3 cisgender veterans (n=29,058) on the basis of age and county. Using the same matching criteria, a second cohort was created of all transgender veterans and a matched sample of cisgender veterans who were prescribed an outpatient opioid (n=7,576). Stratified Cox proportional hazard regression measured the RR of each prescription outcome and opioid poisoning. RESULTS: Transgender veterans had a 20% higher risk of being prescribed any outpatient opioid than cisgender veterans (adjusted RR=1.20, 95% CI=1.13, 1.27). Transgender and cisgender veterans who were prescribed an opioid did not have different risks of high-risk prescribing: overlapping opioid prescriptions (adjusted RR=0.93, 95% CI=0.85, 1.02), daily dose >120 morphine milligram equivalents (adjusted RR=0.86, 95% CI=0.66, 1.10), or overlapping opioid and benzodiazepine prescriptions (adjusted RR=1.05, 95% CI=0.96, 1.14). Overall, transgender veterans had more than twice the risk of opioid poisoning than cisgender veterans (RR=2.76, 95% CI=1.57, 4.86). The risk of opioid poisoning did not differ between transgender and cisgender veterans who were prescribed an opioid (RR=1.09, 95% CI=0.56, 2.11). CONCLUSIONS: Transgender veterans had a greater risk of being prescribed an outpatient opioid than cisgender veterans but did not have different risks of high-risk opioid prescribing.

Latent Class Analysis of Prescribing Behavior of Primary Care Physicians in the Veterans Health Administration.

BACKGROUND: Benzodiazepines, opioids, proton-pump inhibitors (PPIs), and antibiotics are frequently prescribed inappropriately by primary care physicians (PCPs), without sufficient consideration of alternative options or adverse effects. We hypothesized that distinct groups of PCPs could be identified based on their propensity to prescribe these medications. OBJECTIVE: To identify PCP groups based on their propensity to prescribe benzodiazepines, opioids, PPIs, and antibiotics, and patient and PCP characteristics associated with identified prescribing patterns. DESIGN: Retrospective cohort study using VA data and latent class regression analyses to identify prescribing patterns among PCPs and examine the association of patient and PCP characteristics with class membership. PARTICIPANTS: A total of 2524 full-time PCPs and their patient panels (n = 2,939,636 patients), from January 1, 2017, to December 31, 2018. MAIN MEASURES: We categorized PCPs based on prescribing volume quartiles for the four drug classes, based on total days' supply dispensed of each medication by the PCP to their patients (expressed as days' supply per 1000 panel patient-days). We used latent class analysis to group PCPs based on prescribing and used multinomial logistic regression to examine patient and PCP characteristics associated with latent class membership. KEY RESULTS: PCPs were categorized into four groups (latent classes): low intensity (23% of cohort), medium-intensity overall/high-intensity PPI (36%), medium-intensity overall/high-intensity opioid (20%), and high intensity (21%). PCPs in the high-intensity group were predominantly in the highest quartile of prescribers for all four drugs (68% in the highest quartile for benzodiazepine, 86% opioids, 64% PPIs, 62% antibiotics). High-intensity PCPs (vs. low intensity) were substantially less likely to be female (OR: 0.30, 95% CI: 0.21-0.42) or practice in the northeast versus other census regions (OR: 0.10, 95% CI: 0.06-0.17). CONCLUSIONS: VA PCPs can be classified into four clearly differentiated groups based on their prescribing of benzodiazepines, opioids, PPIs, and antibiotics, suggesting an underlying typology of prescribing. High-intensity PCPs were more likely to be male.

Association Between Registered Sex Offender Status and Risk of Housing Instability and Homelessness among Veterans.

Research is limited about whether and to what extent registered sex offenders (RSOs) face an increased risk of housing instability. The intersection of RSO and housing instability is particularly salient for veterans as there are disproportionately higher rates of veterans among both RSOs and homeless populations. This study assessed the relationship between RSO status and risk of housing instability and homelessness among military veterans. We matched a list of 373,774 RSOs obtained from publicly available sex offender registries in 19 states with a cohort of 5.9 million veterans who responded to a brief screening for housing instability administered throughout the Veterans Health Administration between 2012 and 2016. Logistic regression estimated adjusted odds of any housing instability and homelessness among veterans identified as RSOs. Veterans identified as RSOs had 1.81 (95% confidence interval [CI] 1.46-2.25) and 2.97 (95% CI 1.67-5.17) times greater odds of reporting any housing instability and homelessness, respectively, than non-RSOs. Findings represent some of the strongest evidence to date for the high risk of housing instability and homelessness among RSOs, suggesting a clear gap in policy and programmatic responses to their unique housing needs. Evidence-based alternative approaches to residence restriction laws may reduce recidivism and protect public safety.

An Interrupted Time-series Evaluation of the Association Between State Laws Mandating Prescriber Use of Prescription Drug Monitoring Programs and Discontinuation of Chronic Opioid Therapy in US Veterans.

BACKGROUND: Most states have recently passed laws requiring prescribers to use prescription drug monitoring programs (PDMPs) before prescribing opioid medications. The impact of these mandates on discontinuing chronic opioid therapy among Veterans managed in the Veterans Health Administration (VA) is unknown. We assess the association between the earliest of these laws and discontinuation of chronic opioid therapy in Veterans receiving VA health care. METHODS: We conducted a comparative interrupted time-series study in the 5 states mandating PDMP use before August 2013 (Ohio, West Virginia, Kentucky, New Mexico, and Tennessee), adjusting for trends in the 17 neighboring control states without such mandates. We modeled 25 months of prescribing for each state centered on the month the mandate became effective. We included Veterans prescribed long-term outpatient opioid therapy (305 of the preceding 365 d). Our outcomes were discontinuation of chronic opioid therapy (primary outcome) and the average daily quantity of opioids per Veteran over the following 6 months (secondary outcome). RESULTS: We included 250 monthly cohorts with 225,665 unique Veterans and 3.4 million Veteran-months. Baseline discontinuation rates before the PDMP mandates were 0.4%-2.7% per month. Kentucky saw a discontinuation increase of 1 absolute percentage point following its PDMP mandate which decreased over time. The other 4 states had no significant association between their mandates and change in opioid discontinuation. There was no evidence of decreasing opioid quantities following PDMP mandates. CONCLUSION: We did not find consistent evidence that state laws mandating provider PDMP use were associated with the discontinuation of chronic opioid therapy within the VA for the time period studied.

Personal Formularies of Primary Care Physicians Across 4 Health Care Systems.

Importance: More conservative prescribing has the potential to reduce adverse drug events and patient harm and cost; however, no method exists defining the extent to which individual clinicians prescribe conservatively. One potential domain is prescribing a more limited number of drugs. Personal formularies-defined as the number and mix of unique, newly initiated drugs prescribed by a physician-may enable comparisons among clinicians, practices, and institutions. Objectives: To develop a method of defining primary care physicians' personal formularies and examine how they differ among primary care physicians at 4 institutions; evaluate associations between personal formularies and patient, physician, and practice site characteristics; and empirically derive and examine the variability of the top 200 core drugs prescribed at the 4 sites. Design, Setting, and Participants: This retrospective cohort study was conducted at 4 US health care systems among 4655 internal and family medicine physicians and 4 930 707 patients who had at least 1 visit to these physicians between January 1, 2017, and December 31, 2018. Exposures: Personal formulary size was defined as the number of unique, newly initiated drugs. Main Outcomes and Measures: Personal formulary size and drugs used, physician and patient characteristics, core drugs, and analysis of selected drug classes. Results: The study population included 4655 primary care physicians (2274 women [48.9%]; mean [SD] age, 48.5 [4.4] years) and 4 930 707 patients (16.5% women; mean [SD] age, 51.9 [8.3] years). There were 41 378 903 outpatient prescriptions written, of which 9 496 766 (23.0%) were new starts. Institution median personal formulary size ranged from 150 (interquartile range, 82.0-212.0) to 296 (interquartile range, 230.0-347.0) drugs. In multivariable modeling, personal formulary size was significantly associated with panel size (total number of unique patients with face-to-face encounters during the study period; 1.2 medications per 100 patients), physician's total number of encounters (5.7 drugs per 10% increase), and physician's sex (-6.2 drugs per 100 patients for female physicians). There were 1527 unique, newly prescribed drugs across the 4 sites. Fewer than half the drugs (626 [41.0%]) were used at every site. Physicians' prescribing of drugs from a pooled core list varied from 0% to 100% of their prescriptions. Conclusions and Relevance: Personal formularies, measured at the level of individual physicians and institutions, reveal variability in size and mix of drugs. Similarly, defining a list of commonly prescribed core drugs in primary care revealed interphysician and interinstitutional differences. Personal formularies and core medication lists enable comparisons and may identify outliers and opportunities for safer and more appropriate prescribing.

Long-term depression incidence and associated mortality among African American and White prostate cancer survivors.

BACKGROUND: Depression is common after a diagnosis of prostate cancer and may contribute to poor outcomes, particularly among African Americans. The authors assessed the incidence and management of depression and its impact on overall mortality among African American and White veterans with localized prostate cancer. METHODS: The authors used the Veterans Health Administration Corporate Data Warehouse to identify 40,412 African American and non-Hispanic White men diagnosed with localized prostate cancer from 2001 to 2013. Patients were followed through 2019. Multivariable logistic regression was used to measure associations between race and incident depression, which were ascertained from administrative and depression screening data. Cox proportional hazards models were used to measure associations between incident depression and all-cause mortality, with race-by-depression interactions used to assess disparities. RESULTS: Overall, 10,013 veterans (24.5%) were diagnosed with depression after a diagnosis of prostate cancer. Incident depression was associated with higher all-cause mortality (adjusted hazard ratio [aHR], 1.27; 95% confidence interval [CI], 1.23-1.32). African American veterans were more likely than White veterans to be diagnosed with depression (29.3% vs 23.2%; adjusted odds ratio [aOR], 1.15; 95% CI, 1.09-1.21). Among those with depression, African Americans were less likely to be prescribed an antidepressant (30.4% vs 31.7%; aOR, 0.85; 95% CI, 0.77-0.93). The hazard of all-cause mortality associated with depression was greater for African American veterans than White veterans (aHR, 1.32 [95% CI, 1.26-1.38] vs 1.15 [95% CI, 1.07-1.24]; race-by-depression interaction P < .001). CONCLUSIONS: Incident depression is common among prostate cancer survivors and is associated with higher mortality, particularly among African American men. Patient-centered strategies to manage incident depression may be critical to reducing disparities in prostate cancer outcomes.

Assessment and Management of Cardiovascular Risk Factors Among US Veterans With Prostate Cancer.

Importance: Cardiovascular disease is a leading cause of mortality in patients with prostate cancer, and androgen deprivation therapy (ADT) may worsen cardiovascular risk. Adherence to guideline-recommended assessment and management of cardiovascular risk factors (CVRFs) in patients initiating ADT is unknown. Objective: To describe CVRF assessment and management in men with prostate cancer initiating ADT and overall. Design, Setting, and Participants: A cross-sectional analysis of 90 494 men treated within the US Veterans Health Administration diagnosed with prostate cancer between January 1, 2010, and December 31, 2017, was conducted. Participants included men with a history of atherosclerotic cardiovascular disease (ASCVD), and treatment with ADT within 1 year of diagnosis. Data analysis was conducted from September 10, 2019, to July 1, 2020. Main Outcomes and Measures: Rates of comprehensive CVRF assessment, uncontrolled CVRFs, and untreated CVRFs. Comprehensive CVRF assessment was defined as recorded measures for blood pressure, cholesterol, and glucose levels; CVRF control as blood pressure lower than 140/90 mm Hg, low-density lipoprotein cholesterol 130 mg/dL, and hemoglobin A1c less than 7%; and CVRF treatment as receipt of cardiac risk-reducing medications. Multivariable risk difference regression assessed the association between ASCVD and initiation of ADT and these outcomes. Results: Of 90 494 veterans, median age was 66 years (interquartile range, 62-70 years); and 22 700 men (25.1%) received ADT. Overall, 68.1% (95% CI, 67.8%-68.3%) of the men received comprehensive CVRF assessment; 54.1% (95% CI. 53.7%-54.4%) of those assessed had uncontrolled CVRFs, and 29.6% (95% CI, 29.2%-30.0%) of those with uncontrolled CVRFs were not receiving corresponding cardiac risk-reducing medication. Compared with the reference group of patients without ASCVD not receiving ADT, patients with ASCVD not receiving ADT had a 10.4% (95% CI, 9.5%-11.3%) higher probability of comprehensive CVRF assessment, 4.0% (95% CI, 2.9%-5.1%) lower risk of uncontrolled CVRFs, and 22.2% (95% CI, 21.1%-23.3%) lower risk of untreated CVRFs. Similar differences were observed in patients with ASCVD receiving ADT. In contrast, patients without ASCVD receiving ADT had only a 3.0% (95% CI, 2.1%-3.9%) higher probability of comprehensive CVRF assessment, 2.6% (95% CI, 1.6%-3.5%) higher risk of uncontrolled CVRFs, and 5.4% (95% CI, 4.2%-6.6%) lower risk of untreated CVRFs. Conclusions and Relevance: These findings suggest that veterans with prostate cancer had a high rate of underassessed and undertreated CVRFs, and ADT initiation was not associated with substantial improvements in CVRF assessment or management. These findings highlight gaps in care and the need for interventions to improve CVRF mitigation in this population.

Comparison by Race of Conservative Management for Low-Risk and Intermediate-Risk Prostate Cancers in Veterans From 2004 to 2018.

Importance: Conservative management (ie, active surveillance or watchful waiting) is a guideline-based strategy for men with low-risk and intermediate-risk prostate cancer. However, use of conservative management is controversial for African American patients, who have worse prostate cancer outcomes compared with White patients. Objective: To examine the association of African American race with the receipt and duration of conservative management in the Veterans Health Administration (VA), a large equal-access health system. Design, Setting, and Participants: This cohort study used data from the VA Corporate Data Warehouse for 51 543 African American and non-Hispanic White veterans diagnosed with low-risk and intermediate-risk localized node-negative prostate cancer between January 1, 2004, and December 31, 2013. Men who did not receive continuous VA care were excluded. Data were analyzed from February 1 to June 30, 2020. Exposures: All patients received either definitive therapy (ie, prostatectomy, radiation, androgen deprivation therapy) or conservative management (ie, active surveillance or watchful waiting). Main Outcomes and Measures: Receipt of conservative management and (for patients receiving conservative management) time from diagnosis to definitive therapy. Results: The median (interquartile range) age of the 51 543 veterans in our cohort was 65 (61-70) years, and 14 830 veterans (28.8%) were African American individuals. Compared with White veterans, African American veterans were more likely to have intermediate-risk disease (18 988 [51.7%] vs 8526 [57.5%]), 3 or more comorbidities (15 438 [42.1%] vs 7614 [51.3%]), and high disability-related or income-related needs (9078 [24.7%] vs 4614 [31.1%]). Overall, 20 606 veterans (40.0%) received conservative management. African American veterans with low-risk disease (adjusted relative risk, 0.95; 95% CI, 0.92-0.98; P < .001) and intermediate-risk disease (adjusted relative risk, 0.92; 95% CI, 0.87-0.97; P = .002) were less likely to receive conservative management than White veterans. Compared with White veterans, African American veterans with low-risk disease (adjusted hazard ratio, 1.71; 95% CI, 1.50-1.95; P < .001) and intermediate-risk disease (adjusted hazard ratio, 1.46; 95% CI, 1.27-1.69; P < .001) who received conservative management were more likely to receive definitive therapy within 5 years of diagnosis (restricted mean survival time [SE] at 5 years, 1679 [5.3] days vs 1740 [2.4] days; P < .001). Conclusions and Relevance: In this study, conservative management was less commonly used and less durable for African American veterans than for White veterans. Prospective trials should assess the comparative effectiveness of conservative management in African American men with prostate cancer.

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.

Emergency Physician Opioid Prescribing and Risk of Long-term Use in the Veterans Health Administration: an Observational Analysis.

BACKGROUND: Treatment by high-opioid prescribing physicians in the emergency department (ED) is associated with higher rates of long-term opioid use among Medicare beneficiaries. However, it is unclear if this result is true in other high-risk populations such as Veterans. OBJECTIVE: To estimate the effect of exposure to high-opioid prescribing physicians on long-term opioid use for opioid-naïve Veterans. DESIGN: Observational study using Veterans Health Administration (VA) encounter and prescription data. SETTING AND PARTICIPANTS: Veterans with an index ED visit at any VA facility in 2012 and without opioid prescriptions in the prior 6 months in the VA system ("opioid naïve"). MEASUREMENTS: We assigned patients to emergency physicians and categorized physicians into within-hospital quartiles based on their opioid prescribing rates. Our primary outcome was long-term opioid use, defined as 6 months of days supplied in the 12 months subsequent to the ED visit. We compared rates of long-term opioid use among patients treated by high versus low quartile prescribers, adjusting for patient demographic, clinical characteristics, and ED diagnoses. RESULTS: We identified 57,738 and 86,393 opioid-naïve Veterans managed by 362 and 440 low and high quartile prescribers, respectively. Patient characteristics were similar across groups. ED opioid prescribing rates varied more than threefold between the low and high quartile prescribers within hospitals (6.4% vs. 20.8%, p < 0.001). The frequency of long-term opioid use was higher among Veterans treated by high versus low quartile prescribers, though above the threshold for statistical significance (1.39% vs. 1.26%; adjusted OR 1.11, 95% CI 0.997-1.24, p = 0.056). In subgroup analyses, there were significant associations for patients with back pain (adjusted OR 1.25, 95% CI 1.01-1.55, p = 0.04) and for those with a history of depression (adjusted OR 1.28, 95% CI 1.08-1.51, p = 0.004). CONCLUSIONS: ED physician opioid prescribing varied by over 300% within facility, with a statistically non-significant increased rate of long-term use among opioid-naïve Veterans exposed to the highest intensity prescribers.

Use of a medication-based risk adjustment index to predict mortality among veterans dually-enrolled in VA and medicare.

BACKGROUND: There is systemic undercoding of medical comorbidities within administrative claims in the Department of Veterans Affairs (VA). This leads to bias when applying claims-based risk adjustment indices to compare outcomes between VA and non-VA settings. Our objective was to compare the accuracy of a medication-based risk adjustment index (RxRisk-VM) to diagnostic claims-based indices for predicting mortality. METHODS: We modified the RxRisk-V index (RxRisk-VM) by incorporating VA and Medicare pharmacy and durable medical equipment claims in Veterans dually-enrolled in VA and Medicare in 2012. Using the concordance (C) statistic, we compared its accuracy in predicting 1 and 3-year all-cause mortality to the following models: demographics only, demographics plus prescription count, or demographics plus a diagnostic claims-based risk index (e.g., Charlson, Elixhauser, or Gagne). We also compared models containing demographics, RxRisk-VM, and a claims-based index. RESULTS: In our cohort of 271,184 dually-enrolled Veterans (mean age = 70.5 years, 96.1% male, 81.7% non-Hispanic white), RxRisk-VM (C = 0.773) exhibited greater accuracy in predicting 1-year mortality than demographics only (C = 0.716) or prescription counts (C = 0.744), but was less accurate than the Charlson (C = 0.794), Elixhauser (C = 0.80), or Gagne (C = 0.810) indices (all P < 0.001). Combining RxRisk-VM with claims-based indices enhanced its accuracy over each index alone (all models C ≥ 0.81). Relative model performance was similar for 3-year mortality. CONCLUSIONS: The RxRisk-VM index exhibited a high level of, but slightly less, accuracy in predicting mortality in comparison to claims-based risk indices. IMPLICATIONS: Its application may enhance the accuracy of studies examining VA and non-VA care and enable risk adjustment when diagnostic claims are not available or biased. LEVEL OF EVIDENCE: Level 3.

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.

Providing Positive Primary Care Experiences for Homeless Veterans Through Tailored Medical Homes: The Veterans Health Administration's Homeless Patient Aligned Care Teams.

BACKGROUND: In 2012, select Veterans Health Administration (VHA) facilities implemented a homeless-tailored medical home model, called Homeless Patient Aligned Care Teams (H-PACT), to improve care processes and outcomes for homeless Veterans. OBJECTIVE: The main aim of this study was to determine whether H-PACT offers a better patient experience than standard VHA primary care. RESEARCH DESIGN: We used multivariable logistic regressions to estimate differences in the probability of reporting positive primary care experiences on a national survey. SUBJECTS: Homeless-experienced survey respondents enrolled in H-PACT (n=251) or standard primary care in facilities with H-PACT available (n=1527) and facilities without H-PACT (n=10,079). MEASURES: Patient experiences in 8 domains from the Consumer Assessment of Healthcare Provider and Systems surveys. Domain scores were categorized as positive versus nonpositive. RESULTS: H-PACT patients were less likely than standard primary care patients to be female, have 4-year college degrees, or to have served in recent military conflicts; they received more primary care visits and social services. H-PACT patients were more likely than standard primary care patients in the same facilities to report positive experiences with access [adjusted risk difference (RD)=17.4], communication (RD=13.9), office staff (RD=13.1), provider ratings (RD=11.0), and comprehensiveness (RD=9.3). Standard primary care patients in facilities with H-PACT available were more likely than those from facilities without H-PACT to report positive experiences with communication (RD=4.7) and self-management support (RD=4.6). CONCLUSIONS: Patient-centered medical homes designed to address the social determinants of health offer a better care experience for homeless patients, when compared with standard primary care approaches. The lessons learned from H-PACT can be applied throughout VHA and to other health care settings.

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.

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.

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.