LiverRisk score: An accurate, cost-effective tool to predict fibrosis, liver-related, and diabetes-related mortality in the general population.

BACKGROUND: Noninvasive and early assessment of liver fibrosis is of great significance and is challenging. We aimed to evaluate the predictive performance and cost-effectiveness of the LiverRisk score for liver fibrosis and liver-related and diabetes-related mortality in the general population. METHODS: The general population from the NHANES 2017-March 2020, NHANES 1999-2018, and UK Biobank 2006-2010 were included in the cross-sectional cohort (n = 3,770), along with the NHANES follow-up cohort (n = 25,317) and the UK Biobank follow-up cohort (n = 17,259). The cost-effectiveness analysis was performed using TreeAge Pro software. Liver stiffness measurements ≥10 kPa were defined as compensated advanced chronic liver disease (cACLD). FINDINGS: Compared to conventional scores, the LiverRisk score had significantly better accuracy and calibration in predicting liver fibrosis, with an area under the receiver operating characteristic curve (AUC) of 0.76 (0.72-0.79) for cACLD. According to the updated thresholds of LiverRisk score (6 and 10), we reclassified the population into three groups: low, medium, and high risk. The AUCs of LiverRisk score for predicting liver-related and diabetes-related mortality at 5, 10, and 15 years were all above 0.8, with better performance than the Fibrosis-4 score. Furthermore, compared to the low-risk group, the medium-risk and high-risk groups in the two follow-up cohorts had a significantly higher risk of liver-related and diabetes-related mortality. Finally, the cost-effectiveness analysis showed that the incremental cost-effectiveness ratio for LiverRisk score compared to FIB-4 was USD $18,170 per additional quality-adjusted life-year (QALY) gained, below the willingness-to-pay threshold of $50,000/QALY. CONCLUSIONS: The LiverRisk score is an accurate, cost-effective tool to predict liver fibrosis and liver-related and diabetes-related mortality in the general population. FUNDING: The National Natural Science Foundation of China (nos. 82330060, 92059202, and 92359304); the Key Research and Development Program of Jiangsu Province (BE2023767a); the Fundamental Research Fund of Southeast University (3290002303A2); Changjiang Scholars Talent Cultivation Project of Zhongda Hospital of Southeast University (2023YJXYYRCPY03); and the Research Personnel Cultivation Program of Zhongda Hospital Southeast University (CZXM-GSP-RC125).

Occurrence, distribution, and risk assessment of antibiotics in a typical aquaculture area around the Dongzhai Harbor mangrove forest on Hainan Island.

The trees of the Dongzhai Harbor mangrove forest suffer from antibiotic contamination from surrounding aquaculture areas. Despite this being one of the largest mangrove forests in China, few studies have focused on the antibiotic pollution status in these aquaculture areas. In the present study, the occurrence, distribution, and risk assessment of 37 antibiotics in surface water and sediment samples from aquaculture areas around Dongzhai Harbor mangrove forests were analyzed. The concentration of total antibiotics (∑antibiotics) ranged from 78.4 ng/L to 225.6 ng/L in surface water (except S14-A2) and from 19.5 ng/g dry weight (dw) to 229 ng/g dw in sediment. In the sediment, the concentrations of ∑antibiotics were relatively low (19.5-52.3 ng/g dw) at 75 % of the sampling sites, while they were high (95.7-229.0 ng/g dw) at a few sampling sites (S13-A1, S13D, S8D). The correlation analysis results showed that the Kd values of the 9 antibiotics were significantly positively correlated with molecular weight (MW), Kow, and LogKow. Risk assessment revealed that sulfamethoxazole (SMX) in surface water and SMX, enoxacin (ENX), ciprofloxacin (CFX), enrofloxacin (EFX), ofloxacin (OFX), and norfloxacin (NFX) in sediment had medium/high risk quotients (RQs) at 62.5 % and 25-100 %, respectively, of the sampling sites. The antibiotic mixture in surface water (0.06-3.36) and sediment (0.43-309) posed a high risk at 37.5 % and 66.7 %, respectively, of the sampling sites. SMX was selected as an indicator of antibiotic pollution in surface water to assist regulatory authorities in monitoring and managing antibiotic pollution in the aquaculture zone of Dongzhai Harbor. Overall, the results of the present study provide a comprehensive and detailed analysis of the characteristics of antibiotics in the aquaculture environment around the Dongzhai Harbor mangrove system and provide a theoretical basis for the source control of antibiotics in mangrove systems.

Universal and Sensitive Drug Assessment Biosensing Platform Using Optimal Mechanical Beating Detection of Single Cardiomyocyte.

The preclinical assessment of efficacy and safety is essential for cardiovascular drug development in order to guarantee effective prevention and treatment of cardiovascular disease and avoid human health endangerment and a huge waste of resources. Rhythmic mechanical beating as one of the crucial cardiomyocyte properties has been exploited to establish a drug assessment biosensing platform. However, the conventional label-free biosensing platforms are difficult to perform high-throughput and high-resolution mechanical beating detection for a single cardiomyocyte, while label-based strategies are limited by pharmacologically adverse effects and phototoxicity. Herein, we propose a biosensing platform involving the multichannel electrode array device and the universal mechanical beating detection system. The platform can determine the optimal characteristic working frequency of different devices and dynamically interrogate the viability of multisite single cardiomyocytes to establish the optimized cell-based model for sensitive drug assessment. The subtle changes of mechanical beating signals induced by cardiovascular drugs can be detected by the platform, thereby demonstrating its high performance in pharmacological assessment. The universal and sensitive drug assessment biosensing platform is believed to be widely applied in cardiology investigating and preclinical drug screening.

Risk assessment indicators and brachial-ankle pulse wave velocity to predict atherosclerotic cardiovascular disease.

Brachial-ankle pulse wave velocity (baPWV) is used for predicting the severity of vascular damage and prognosis of atherosclerotic cardiovascular disease (ASCVD) in people with hypertension and diabetes mellitus. This correlation study aimed to compare the baPWV with other risk indicators for identification of subclinical vascular disease for primary prevention and to determine the clinical utility of baPWV-guided therapy in improving prognosis in high-risk subjects. We included 4881 subjects who underwent voluntary health examination at Mackay Memorial Hospital, Taiwan between 2014 and 2019. Participants were categorized into the low-risk (<5%), borderline-risk (5%-7.4%), intermediate-risk (7.5%-19.9%), and high-risk (≥20%) groups based on the 10-year risk for ASCVD. The predictive risk criteria, that is, the metabolic syndrome score, Framingham Risk Score, estimated glomerular filtration rate, and baPWV were compared among these groups. The chief cause of induced responses and the relationships between parameters were identified using principal component analysis. The participants' ages, body mass index, systolic, diastolic blood pressure, triglycerides, fasting glucose, hemoglobin A1c, creatinine, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, metabolic syndrome, Framingham Risk Score, and age-related arterial stiffness (vascular age) increased significantly from the low-risk to high-risk groups (P < .001). The mean estimated glomerular filtration rate decreased significantly from the low- to high-risk groups (P < .001). The predicted vascular age and actual age differed significantly between the intermediate- and high-risk groups (P < .001). High-density lipoprotein levels plummeted significantly among the 4 groups (P < .001). The right and left baPWV and ankle brachial index differed significantly among the 4 groups (all P < .001) and increased from the low-risk to high-risk groups (P < .001). Carotid Doppler ultrasonography revealed a significant increase in plaque formation (23.5%, 35.4%, 46.3%, and 61.5% for the low-, borderline-, intermediate, and high-risk groups, respectively). The total explanatory variation was 61.9% for 2 principal variation factors (baPWV, 36.8% and creatinine, 25.1%). The vascular age predicted using baPWV greatly exceeded the chronological age. Plaque formation was significant even in the low-risk group, and its frequency increased with the predicted ASCVD risk. Risk indicators and baPWV are useful predictors of ASCVD, which in conjunction with conventional pharmacotherapy could be useful for primary prevention of plaque formation in subjects with cardiovascular comorbidities.

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

BACKGROUND: The Veterans Community Care Program (VCCP) aims to address access constraints in the Veterans Health Administration (VA) by reimbursing care from non-VA community providers. Little existing research explores how veterans' choice of VA versus VCCP providers has evolved as a significant VCCP expansion in 2014 as part of the Veterans Access, Choice, and Accountability Act. OBJECTIVES: We examined changes in reliance on VA for primary care (PC), mental health (MH), and specialty care (SC) among VCCP-eligible veterans. RESEARCH DESIGN: We linked VA administrative data with VCCP claims to retrospectively examine utilization during calendar years 2016-2018. SUBJECTS: 1.78 million veterans enrolled in VA before 2013 and VCCP-eligible in 2016 due to limited VA capacity or travel hardship. MEASURES: We measured reliance as the proportion of total annual outpatient (VA+VCCP) visits occurring in VA for PC, MH, and SC. RESULTS: Of the 26.1 million total outpatient visits identified, 45.6% were for MH, 29.9% for PC, and 24.4% for SC. Over the 3 years, 83.2% of veterans used any VA services, 23.8% used any VCCP services, and 20.0% were dual VA-VCCP users. Modest but statistically significant declines in reliance were observed from 2016-2018 for PC (94.5%-92.2%), and MH (97.8%-96.9%), and a more significant decline was observed for SC (88.5%-79.8%). CONCLUSIONS: Veterans who have the option of selecting between VA or VCCP providers continued using VA for most of their outpatient care in the initial years after the 2014 VCCP expansion.

Bone Mineral Density Assessment by Quantitative Computed Tomography in Glucocorticoid-Treated Boys With Duchenne Muscular Dystrophy: A Linear Mixed-Effects Modeling Approach.

Objective: Boys with Duchenne muscular dystrophy (DMD) are at risk of bone damage and low bone mineral density (BMD). The aim of the study is to examine lumbar BMD values measured by QCT and identify the factors associated with BMD loss using a multilevel mixed-effects model. Methods: Lumbar BMD was evaluated by quantitative computed tomography (QCT) at diagnosis, 1 and 2 years follow up in patients with DMD who were treated with GC. Demographic data, functional activity scores (FMSs), laboratory parameters and steroid use were recorded. A multilevel mixed-effects model was used to analyze BMD loss. Results: Nineteen patients with DMD who had a total of sixty complete records between January 2018 and October 2021 were retrospectively analyzed. At baseline, 15.8% of patients (3/19) had low lumbar BMD (Z score ≤ -2), and the mean BMD Z score on QCT was -0.85 (SD 1.32). The mean BMD Z score at 1 and 2 years postbaseline decreased to -1.56 (SD 1.62) and -2.02 (SD 1.36), respectively. In our model, BMD Z score loss was associated with age (ß=-0.358, p=0.0003) and FMS (ß=-0.454, p=0.031). Cumulative GC exposure and serum levels of calcium, phosphorus, 25(OH)-vitamin D and creatinine kinase did not independently predict BMD loss. Conclusions: This study demonstrates that in DMD patients, lumbar BMD decreased gradually and progressively. Age and FMS are the main contributors to BMD loss in boys with DMD. Early recognition of risk factors associated with BMD loss may facilitate the development of strategies to optimize bone health.

A dynamic and quantitative biosensing assessment for electroporated membrane evolution of cardiomyocytes.

The electrophysiological study is an essential approach to perform the biology and basic medicine research. To achieve the intracellular electrophysiological investigation, electroporation is introduced as an effective and convenient strategy to achieve the intracellular access of electrogenic cells and obtain high-fidelity action potentials. However, seldom platform could provide a quantitative and dynamic strategy to assess the electroporation-induced membrane perforation and recovery during intracellular electrophysiological investigation. Here we develop a high-throughput, sensitive, and stable biosensing platform to assess the evolution of electroporated cell membrane dynamically and quantitatively based on the recorded intracellular electrophysiological signals of cardiomyocytes. Following the electroporation, the extracellular action potentials transiently convert to the intracellular action potentials, whose amplitude rapidly increases to the maximum and then gradually decays. The intracellular action potentials finally convert back to the extracellular action potentials. This biosensing platform can dynamically explore and characterize the evolution procedures of perforation, stabilization, and resealing of the cell membrane by intracellular recordings. Moreover, the effect of electroporation voltages on the cell membrane is segmentally and quantitatively analyzed, demonstrating that a higher electroporation voltage induced a longer resealing time within the safe range of electroporation voltage. We believed that this dynamic and quantitative electroporated membrane evolution biosensing assessment platform will be a promising tool to pave a new avenue to bridge the electrophysiology and electroporated membrane evolution.

Economic costs of implementing evidence-based telemedicine outreach for posttraumatic stress disorder in VA.

Background: Telemedicine outreach for posttraumatic stress disorder (TOP) is a virtual evidence-based practice (EBP) involving telephone care management and telepsychology that engages rural patients in trauma-focused psychotherapy. This evaluation examined implementation and intervention costs attributable to deploying TOP from a health system perspective. Methods: Costs were ascertained as part of a stepped wedge cluster randomized trial at five sites within the Veterans Affairs (VA) Healthcare System. All sites initially received a standard implementation strategy, which included internal facilitation, dissemination of an internal facilitators operational guide, funded care manager, care managing training, and technical support. A subset of clinics that failed to meet performance metrics were subsequently randomized to enhanced implementation, which added external facilitation that focused on incorporating TOP clinical processes into existing clinic workflow. We measured site-level implementation activities using project records and structured activity logs tracking personnel-level time devoted to all implementation activities. We monetized time devoted to implementation activities by applying an opportunity cost approach. Intervention costs were measured as accounting-based costs for telepsychiatry/telepsychology and care manager visits, ascertained using VA administrative data. We conducted descriptive analyses of strategy-specific implementation costs across five sites. Descriptive analyses were conducted instead of population-level cost-effectiveness analysis because previous research found enhanced implementation was not more successful than the standard implementation in improving uptake of TOP. Results: Over the 40-month study period, four of five sites received enhanced implementation. Mean site-level implementation cost per month was $919 (SD = $238) during standard implementation and increased to $1,651 (SD = $460) during enhanced implementation. Mean site-level intervention cost per patient-month was $46 (SD = $28) during standard implementation and $31 (SD = $21) during enhanced implementation. Conclusions: Project findings inform the expected cost of implementing TOP, which represents one factor health systems should consider in the decision to broadly adopt this EBP. Plain Language Summary: What is already known about the topic: Trauma-focused psychotherapy delivered through telemedicine has been demonstrated as an effective approach for the treatment of post-traumatic stress disorder (PTSD). However, uptake of this evidence-based approach by integrated health systems such as the Veterans Affairs (VA) Health Care System is low. What does this paper add: This paper presents new findings on the costs of two implementation approaches designed to increase adoption telemedicine outreach for PTSD from a health system perspective. What are the implications for practice, research, and policy: Cost estimates from this paper can be used by health systems to inform the relative value of candidate implementation strategies to increase adoption of evidence-based treatments for PTSD or other mental health conditions.

Assessment of Acute Mountain Sickness Using 1993 and 2018 Versions of the Lake Louise Score in a Large Chinese Cohort.

Chen, Renzheng, Yong Wang, Chen Zhang, Xiaolin Luo, Jie Yang, Chuan Liu, and Lan Huang. Assessment of acute mountain sickness using 1993 and 2018 versions of the Lake Louise Score in a large Chinese cohort. High Alt Med Biol. 22:362-368, 2021. Background: This study uses Lake Louise Score (LLS) in its original (LLS1993) and new (LLS2018) versions to assess acute mountain sickness (AMS) and aims to provide more clinical information about the AMS scoring system. Methods: We enrolled 1,026 male Chinese soldiers who traveled from an altitude of 500 to 3,700 m by airplane in 2.5 hours. We observed each subject's symptoms after arrival at 3,700 m in 24 and 48 hours. Each item was dropped from LLS1993 to evaluate its sensitivity and effect on AMS diagnosis. The relationship between each symptom and AMS was assessed by correlation analysis. Exploratory and confirmatory factor analyses evaluated the factor structure of LLS, while the ordinal alpha coefficient was calculated to determine its internal consistency. Results: Four hundred fifty-nine subjects were not followed up on day 2. We defined two observed cohorts (cohort 1, n = 1,026 and cohort 2, n = 567). Headache was the most common symptom in 24 hours, while sleep disturbance was the fourth-most common symptom at 24 hours and the most common symptom at 48 hours. When we dropped gastrointestinal symptoms, the drop rate was lowest in each situation (1.0% in cohort 1, 1.3% in cohort 2 at 24 hours, and 5.7% in cohort 2 at 48 hours, respectively). The incidence of AMS decreased from 18.4% at 24 hours to 36.4% at 48 hours when lost sleep disturbance in cohort 2. Moreover, the statistical method of Mantel/Haenszel square test was used for correlation analysis and the results showed a correlation between sleep disturbance and AMS. Besides, both LLS1993 and LLS2018 had acceptable internal consistencies, and all items had good loading coefficients in LLS1993. Conclusions: We have demonstrated that there could be an association between sleep disturbance and AMS diagnosis. Both LLS1993 and LLS2018 applied to young Chinese men.

Assessment of right atrial dyssynchrony by 2D speckle-tracking in healthy young men following high altitude exposure at 4100 m.

BACKGROUND: High altitude exposure induces overload of right-sided heart and may further predispose to supraventricular arrhythmia. It has been reported that atrial mechanical dyssynchrony is associated with atrial arrhythmia. Whether high altitude exposure causes higher right atrial (RA) dyssynchrony is still unknown. The aim of study was to investigate the effect of high altitude exposure on right atrial mechanical synchrony. METHODS: In this study, 98 healthy young men underwent clinical examination and echocardiography at sea level (400 m) and high altitude (4100 m) after an ascent within 7 days. RA dyssynchrony was defined as inhomogeneous timing to peak strain and strain rate using 2D speckle-tracking echocardiography. RESULTS: Following high altitude exposure, standard deviation of the time to peak strain (SD-TPS) [36.2 (24.5, 48.6) ms vs. 21.7 (12.9, 32.1) ms, p<0.001] and SD-TPS as percentage of R-R' interval (4.6 ± 2.1% vs. 2.5 ± 1.8%, p<0.001) significantly increased. Additionally, subjects with higher SD-TPS (%) at high altitude presented decreased right ventricular global longitudinal strain and RA active emptying fraction, but increased RA minimal volume index, which were not observed in lower group. Multivariable analysis showed that mean pulmonary arterial pressure and tricuspid E/A were independently associated with SD-TPS (%) at high altitude. CONCLUSION: Our data for the first time demonstrated that high altitude exposure causes RA dyssynchrony in healthy young men, which may be secondary to increased pulmonary arterial pressure. In addition, subjects with higher RA dyssynchrony presented worse RA contractile function and right ventricular performance.

Burden and Cost of Caring for US Veterans With CKD: Initial Findings From the VA Renal Information System (VA-REINS).

Kidney disease is a common, complex, costly, and life-limiting condition. Most kidney disease registries or information systems have been limited to single institutions or regions. A national US Department of Veterans Affairs (VA) Renal Information System (VA-REINS) was recently developed. We describe its creation and present key initial findings related to chronic kidney disease (CKD) without kidney replacement therapy (KRT). Data from the VA's Corporate Data Warehouse were processed and linked with national Medicare data for patients with CKD receiving KRT. Operational definitions for VA user, CKD, acute kidney injury, and kidney failure were developed. Among 7 million VA users in fiscal year 2014, CKD was identified using either a strict or liberal operational definition in 1.1 million (16.4%) and 2.5 million (36.3%) veterans, respectively. Most were identified using an estimated glomerular filtration rate laboratory phenotype, some through proteinuria assessment, and very few through International Classification of Diseases, Ninth Revision coding. The VA spent ∼$18 billion for the care of patients with CKD without KRT, most of which was for CKD stage 3, with higher per-patient costs by CKD stage. VA-REINS can be leveraged for disease surveillance, population health management, and improving the quality and value of care, thereby enhancing VA's capacity as a patient-centered learning health system for US veterans.

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

OBJECTIVES: We can learn something about how Veterans value the Veterans Health Administration (VHA) versus community providers by observing Veterans' choices between VHA and Medicare providers after they turn 65. For a cohort of Veterans who were newly age-eligible for Medicare, we estimated the change in VHA reliance (VHA outpatient visits divided by total VHA and Medicare visits) associated with specific events: receiving a life-threatening diagnosis, having a Medicare-paid hospitalization, or moving further from the VHA. RESEARCH DESIGN: A longitudinal cohort study of VHA and Medicare administrative data. SUBJECTS: A total of 5932 VHA users who completed a health survey in 1999 and became age-eligible for Medicare from 1998 to 2000 were followed through 2016. PRINCIPAL FINDINGS: More Veterans chose to rely on the VHA than Medicare (64% vs. 36.%). For a VHA-reliant Veteran, a Medicare-paid hospital stay was associated with a decrease of 7.8 percentage points (pps) (P<0.001) in VHA reliance in the subsequent 12 months, but by 36 months reliance increased to near prehospitalization levels (-1.5 pps; P=0.138). Moving further from the VHA, or receiving a diagnosis of cancer, heart failure, or renal failure had no significant association with subsequent VHA reliance; however, a diagnosis of dementia was associated with a decrease in VHA reliance (-8.6 pps; P=0.026). CONCLUSIONS: A significant majority of newly Medicare-eligible VHA users voted with their feet in favor of sustaining the VHA as a provider of comprehensive medical care for Veterans. These VHA-reliant Veterans maintained their reliance even after receiving a life-threatening diagnosis, and after experiencing Medicare-provided hospital care.

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

OBJECTIVE: To examine whether nurse practitioner (NP)-assigned patients exhibited differences in utilization, costs, and clinical outcomes compared to medical doctor (MD)-assigned patients. DATA SOURCES: Veterans Affairs (VA) administrative data capturing characteristics, outcomes, and provider assignments of 806 434 VA patients assigned to an MD primary care provider (PCP) who left VA practice between 2010 and 2012. STUDY DESIGN: We applied a difference-in-difference approach comparing outcomes between patients reassigned to MD and NP PCPs, respectively. We examined measures of outpatient (primary care, specialty care, and mental health) and inpatient (total and ambulatory care sensitive hospitalizations) utilization, costs (outpatient, inpatient and total), and clinical outcomes (control of hemoglobin A1c, LDL, and blood pressure) in the year following reassignment. PRINCIPAL FINDINGS: Compared to MD-assigned patients, NP-assigned patients were less likely to use primary care and specialty care services and incurred fewer total and ambulatory care sensitive hospitalizations. Differences in costs, clinical outcomes, and receipt of diagnostic tests between groups were not statistically significant. CONCLUSIONS: Patients reassigned to NPs experienced similar outcomes and incurred less utilization at comparable cost relative to MD patients. NPs may offer a cost-effective approach to addressing anticipated shortages of primary care physicians.

Time and Organizational Cost for Facilitating Implementation of Primary Care Mental Health Integration.

BACKGROUND: Integrating mental health services into primary care settings is complex and challenging. Although facilitation strategies have successfully supported implementation of primary care mental health integration and other complex innovations, we know little about the time required or its cost. OBJECTIVE: To examine the time and organizational cost of facilitating implementation of primary care mental health integration. DESIGN: Descriptive analysis. PARTICIPANTS: One expert external facilitator and two internal regional facilitators who helped healthcare system stakeholders, e.g., leaders, managers, clinicians, and non-clinical staff, implement primary care mental health integration at eight clinics. INTERVENTION: Implementation facilitation tailored to the needs and resources of the setting and its stakeholders. MAIN MEASURES: We documented facilitators' and stakeholders' time and types of activities using a structured spreadsheet collected from facilitators on a weekly basis. We obtained travel costs and salary information. We conducted descriptive analysis of time data and estimated organizational cost. KEY RESULTS: The external facilitator devoted 263 h (0.09 FTE), including travel, across all 8 clinics over 28 months. Internal facilitator time varied across networks (1792 h versus 1169 h), as well as clinics. Stakeholder participation time was similar across networks (1280.6 versus 1363.4 person hours) but the number of stakeholders varied (133 versus 199 stakeholders). The organizational cost of providing implementation facilitation also varied across networks ($263,490 versus $258,127). Stakeholder participation accounted for 35% of the cost of facilitation activities in one network and 47% of the cost in the other. CONCLUSIONS: Although facilitation can improve implementation of primary care mental health integration, it requires substantial organizational investments that may vary by site and implementation effort. Furthermore, the cost of using an external expert to transfer facilitation skills and build capacity for implementation efforts appears to be minimal.

Developing an Algorithm for Combining Race and Ethnicity Data Sources in the Veterans Health Administration.

INTRODUCTION: Racial/ethnic disparities exist in the Veterans Health Administration (VHA), despite financial barriers to care being largely mitigated and Veterans Administration's (VA) organizational commitment to health equity. Accurately identifying minority veterans is critical to monitoring progress toward equity as the VHA treats an increasingly racially and ethnically diverse veteran population. Although the VHA's completeness of race and ethnicity data is generally better than its public sector and private counterparts, the accuracy of the race and ethnicity in the various databases available to VHA is variable, as is the accuracy in identifying specific minority groups. The purpose of this article was to develop an algorithm for constructing race and ethnicity variables from data sources available to VHA researchers, to present demographic differences cross the data sources, and to apply the algorithm to one study year. MATERIALS AND METHODS: We used existing VHA survey data from the Survey of Healthcare Experiences of Patients (SHEP) and three commonly used administrative databases from 2003 to 2015: the VA Corporate Data Warehouse (CDW), VA Defense Identity Repository (VADIR), and Medicare. Using measures of agreement such as sensitivity, specificity, positive and negative predictive values, and Cohen kappa, we compared self-reported race and ethnicity from the SHEP and each of the other data sources. Based on these results, we propose an algorithm for combining data on race and ethnicity from these datasets. We included VHA patients who completed a SHEP and had race/ethnicity recorded in CDW, VADIR, and/or Medicare. RESULTS: Agreement between SHEP and other sources was high for Whites and Blacks and substantially lower for other minority groups. The CDW demonstrated better agreement than VADIR or Medicare. CONCLUSIONS: We developed an algorithm of data source precedence in the VHA that improves the accuracy of the identification of historically under-identified minorities: (1) SHEP, (2) CDW, (3) Department of Defense's VADIR, and (4) Medicare.

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

OBJECTIVE: Most Veterans Affairs (VA) Health Care System enrollees age 65+ also have the option of obtaining care through Medicare. Reliance upon VA varies widely and there is a need to optimize its prediction in an era of expanding choice for veterans to obtain care within or outside of VA. We examined whether survey-based patient-reported experiences improved prediction of VA reliance. METHODS: VA and Medicare claims in 2013 were linked to construct VA reliance (proportion of all face-to-face primary care visits), which was dichotomized (=1 if reliance >50%). We predicted reliance in 83,143 Medicare-eligible veterans as a function of 61 baseline characteristics in 2012 from claims and the 2012 Survey of Healthcare Experiences of Patients. We estimated predictive performance using the cross-validated area under the receiver operating characteristic (AUROC) curve, and assessed variable importance using the Shapley value decomposition. RESULTS: In 2012, 68.9% were mostly VA reliant. The AUROC for the model including claims-based predictors was 0.882. Adding patient experience variables increased AUROC to 0.890. The pseudo R for the full model was 0.400. Baseline reliance and patient experiences accounted for 72.0% and 11.1% of the explained variation in reliance. Patient experiences related to the accessibility of outpatient services were among the most influential predictors of reliance. CONCLUSION: The addition of patient experience variables slightly increased predictive performance. Understanding the relative importance of patient experience factors is critical for informing what VA reform efforts should be prioritized following the passage of the 2018 MISSION Act.

Spillover Effects of Massachusetts Health Reform on Mental Health Use by VA and Medicare Dual Enrollees.

Older veterans can obtain care from the Veterans Affairs Health System (VA), Medicare or both. We examined whether their use of mental health care was impacted by capacity effects stemming from younger, uninsured veterans' enrolling in VA to satisfy the individual mandate within Massachusetts Health Reform (MHR). Using administrative data, we applied a difference-in-difference approach to compare pre-post changes in mental health use following MHR implementation. Findings indicated MHR was associated with increases in use through Medicare and the probability of dual VA-Medicare use. These results provide support for the possibility that limited capacity led to care seeking outside VA.

The Impact of Healthcare-Associated Methicillin-Resistant Staphylococcus aureus Infections on Postdischarge Health Care Costs and Utilization across Multiple Health Care Systems.

OBJECTIVE: To measure how much of the postdischarge cost and utilization attributable to methicillin-resistant Staphylococcus aureus (MRSA) health care-associated infections (HAIs) occur within the US Department of Veterans Affairs (VA) system and how much occurs outside. DATA SOURCES/STUDY SETTING: Health care encounters from 3 different settings and payment models: (1) within the VA; (2) outside the VA but paid for by the VA (purchased care); and (3) outside the VA and paid for by Medicare. STUDY DESIGN: Historical cohort study using data from admissions to VA hospitals between 2007 and 2012. METHODS: We assessed the impact of a positive MRSA test result on costs and utilization during the 365 days following discharge using inverse probability of treatment weights to balance covariates. PRINCIPAL FINDINGS: Among a cohort of 152,687 hospitalized Veterans, a positive MRSA test result was associated with an overall increase of 6.6 (95 percent CI: 5.7-7.5) inpatient days and $9,237 (95 percent CI: $8,211-$10,262) during the postdischarge period. VA inpatient admissions, Medicare reimbursements, and purchased care payments accounted for 60.6 percent, 22.5 percent, and 16.9 percent of these inpatient costs. CONCLUSIONS: While most of the excess postdischarge health care costs associated with MRSA HAIs occurred in the VA, non-VA costs make up an important subset of the overall burden.

Reliance on Medicare Providers by Veterans after Becoming Age-Eligible for Medicare is Associated with the Use of More Outpatient Services.

OBJECTIVE: To estimate the effect of Medicare use on the receipt of outpatient services from 2001 through 2015 for a cohort of Veterans Administration (VA) users who became age-eligible for Medicare in 1998-2000. DATA SOURCES/STUDY SETTING: VA administrative data linked with Medicare claims for veterans who participated in the 1999 Large Health Survey of Enrolled Veterans. STUDY DESIGN: We coded each veteran as VA-reliant or Medicare-reliant based on the number of visits in each system and compared the health and social risk factors between VA-reliant and Medicare-reliant veterans. We used bivariate probit and instrumental variables models to estimate the association between a veteran's reliance on Medicare and the receipt of outpatient procedures in Medicare and the VA. PRINCIPAL FINDINGS: Veterans who chose to rely on the VA (n = 4,317) had substantially worse social and health risk factors than Medicare-reliant veterans (n = 2,567). Medicare reliance was associated with greater use of outpatient services for 24 of the 28 types of services considered. Instrumental variable estimates found significant effects of Medicare reliance on receipt of advanced imaging and cardiovascular testing. CONCLUSIONS: Expanded access to fee-for-service care in the community may be expensive, while the VA will likely continue to care for the most vulnerable veterans.

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

OBJECTIVE: To examine the long-term reliance on outpatient care at the population (i.e., system) level among fee-for-service Medicare-enrolled elderly veterans in the Department of Veterans Affairs (VA) health care system and Medicare from 2003 to 2014. DATA SOURCES/STUDY SETTING: We analyzed a 5 percent random sample, stratified by facility, age, gender, and race, of Medicare-enrolled veterans enrolled in a VA primary care panel using VA administrative data and Medicare claims. STUDY DESIGN: We performed a repeated cross-sectional analysis over 48 quarters. VA reliance was defined at the system level as the proportion of total visits (VA + Medicare) that occurred in VA. We examined four visit types and seven high-volume medical subspecialties. We applied direct standardization adjusting for age, gender, and race using the 2010 population distribution of Medicare-enrolled veterans. PRINCIPAL FINDINGS: Over the 12-year period, VA provided the vast majority of mental health care. Conversely, veterans received slightly more than half of their primary care and most of their specialty care, surgical care, and seven high-volume medical subspecialties through Medicare. However, reliance on VA outpatient care steadily increased over time for all categories of care. CONCLUSIONS: Despite the controversies about VA access to care, Medicare-enrolled veterans, who have a choice of using VA or Medicare providers, appear to increase their use of VA care prior to the Choice Act.