Veterans Affairs Patients Research Articles

Outpatient Care Fragmentation and Acute Care Utilization in Veterans Affairs Home-Based Primary Care

Veterans Affairs (VA) Home-Based Primary Care (HBPC) provides comprehensive, interdisciplinary primary care at home to patients with complex, chronic, disabling disease, but little is known about care fragmentation patterns and consequences among these patients. To examine outpatient care fragmentation patterns and subsequent acute care among HBPC-engaged patients at high risk of hospitalization or death. This retrospective cohort study included VA patients aged at least 65 years who were enrolled in the VA and Medicare, whose risk of hospitalization or death was in the top 10%, and who had at least 4 outpatient visits between October 1, 2013, and September 30, 2014. HBPC engagement was defined as having at least 2 HBPC encounters between July 1, 2014, and September 30, 2014. Data were analyzed from March 2020 to March 2022. Two indices of outpatient care fragmentation: practitioner count and the Usual Provider Continuity Index (UPC), based on VA and non-VA health care use from October 1, 2013, to September 30, 2014. All care delivered by HBPC clinicians was analyzed as coming from a single practitioner. Emergency department (ED) visits and hospitalizations for ambulatory care sensitive conditions (ACSC) from VA records and Medicare claims from October 1, 2014, to September 30, 2015. Among 8908 identified HBPC patients, 8606 (96.6%) were male, 1562 (17.5%) were Black, 249 (2.8%) were Hispanic, 6499 (73.0%) were White, 157 (1.8%) were other race or ethnicity, and 441 (5.0%) had unknown race or ethnicity; the mean (SD) age was 80.0 (9.02) years; patients had a mean (SD) of 11.25 (3.87) chronic conditions, and commonly had disabling conditions such as dementia (38.8% [n = 3457]). In adjusted models, a greater number of practitioners was associated with increased odds of an ED visit (adjusted odds ratio [aOR], 1.05 [95% CI, 1.03-1.07]) and hospitalization for an ACSC (aOR, 1.04 [95% CI, 1.02-1.06]), whereas more concentrated care with a higher UPC was associated with reduced odds of these outcomes (highest vs lowest tertile of UPC: aOR for ED visit, 0.77 [95% CI, 0.67-0.88], aOR for ACSC hospitalization, 0.78 [95% CI, 0.68-0.88]). Among patients in HBPC, fragmented care was associated with more ED visits and ACSC hospitalizations. These findings suggest that consolidating or coordinating fragmented care may be a target for reducing preventable acute care.

Food Sensitivities in a Diverse Nationwide Cohort of Veterans With Interstitial Cystitis/Bladder Pain Syndrome.

Prior studies suggest that certain foods exacerbate interstitial cystitis/bladder pain syndrome symptoms. However, these studies were limited in size and demographics. We assessed the presence of diet sensitivities among patients with interstitial cystitis/bladder pain syndrome and compared them with patients with other pelvic pain conditions and healthy controls. We identified Veterans Affairs patients nationwide by querying ICD-9/10 codes for interstitial cystitis/bladder pain syndrome. Patients were assigned to interstitial cystitis, other pelvic pain, or healthy control cohorts after chart review. We mailed all patients the Shorter-Moldwin Food Sensitivity Questionnaire to evaluate the self-perceived effects of specific foods/beverages on urinary symptoms and/or bladder pain. In the interstitial cystitis/bladder pain syndrome cohort, 70% had ≥1 food sensitivity vs 37% of the other pelvic pain cohort and 32% of healthy controls (P < .001). The average number of sensitivities were similar between other pelvic pain conditions and healthy control cohorts, which were significantly less than in interstitial cystitis/bladder pain syndrome patients. Interstitial cystitis/bladder pain syndrome patients were more sensitive to acidic, spicy foods, and certain beverages vs other cohorts (all P < .001). Within the interstitial cystitis/bladder pain syndrome cohort, Black patients had significantly higher sensitivity to alcoholic and noncaffeinated beverages than Whites. Black patients did report significantly worsened urinary urgency than Whites (P < .05). In a diverse population of veterans, interstitial cystitis/bladder pain syndrome patients had significantly more food sensitivities than those without interstitial cystitis/bladder pain syndrome. This suggests that food sensitivities could be suggestive of interstitial cystitis/bladder pain syndrome, which could make the Shorter-Moldwin Food Sensitivity Questionnaire a helpful diagnostic tool and aid in distinguishing interstitial cystitis/bladder pain syndrome from conditions often confused with interstitial cystitis/bladder pain syndrome.

Association between post-traumatic stress disorder severity and death by suicide in US military veterans: retrospective cohort study.

There is mixed evidence regarding the direction of a potential association between post-traumatic stress disorder (PTSD) and suicide mortality. This is the first population-based study to account for both PTSD diagnosis and PTSD symptom severity simultaneously in the examination of suicide mortality. Retrospective study that included all US Department of Veterans Affairs (VA) patients with a PTSD diagnosis and at least one symptom severity assessment using the PTSD Checklist (PCL) between 1 October 1999 and 31 December 2018 (n = 754 197). We performed multivariable proportional hazards regression models using exposure groups defined by level of PTSD symptom severity to estimate suicide mortality rates. For patients with multiple PCL scores, we performed additional models using exposure groups defined by level of change in PTSD symptom severity. We assessed suicide mortality using the VA/Department of Defense Mortality Data Repository. Any level of PTSD symptoms above the minimum threshold for symptomatic remission (i.e. PCL score >18) was associated with double the suicide mortality rate at 1 month after assessment. This relationship decreased over time but patients with moderate to high symptoms continued to have elevated suicide rates. Worsening PTSD symptoms were associated with a 25% higher long-term suicide mortality rate. Among patients with improved PTSD symptoms, those with symptomatic remission had a substantial and sustained reduction in the suicide rate compared with those without symptomatic remission (HR = 0.56; 95% CI 0.37-0.88). Ameliorating PTSD can reduce risk of suicide mortality, but patients must achieve symptomatic remission to attain this benefit.

Association of entry into hospice or palliative care consultation during acute care hospitalization with subsequent antibiotic utilization

ObjectiveWe aimed to estimate antibiotic use during the last 6 months of life for hospitalized patients under hospice or palliative care and identify potential targets (i.e. time points) for antibiotic stewardship during the end-of-life period. MethodsWe conducted a retrospective cohort study of nationwide Veterans Affairs (VA) patients who died between January 1, 2014 and December 31, 2019 and who had been hospitalized within 6 months prior to death. Data from the VA's integrated electronic medical record were collected, including demographics, comorbid conditions, and duration of inpatient antibiotics administered, along with outpatient antibiotics dispensed. A propensity score–matched cohort analysis was conducted to compare antibiotic use between hospitalized patients placed into palliative care or hospice matched to hospitalized patients not receiving palliative care or hospice. ResultsThere were 9808 and 40 796 propensity score–matched patient pairs in the hospice and palliative care groups, respectively. Within 14 days of placement or consultation, 41% (4040/9808) of hospice patients and 48% (19 735/40 796) of palliative care patients received at least one antibiotic, while 25% (2420/9808) matched nonhospice and 27% (10 991/40 796) matched nonpalliative care patients received antibiotics. Entry into hospice was independently associated with a 12% absolute increase in antibiotic prescribing, and entry into palliative care was associated with a 17% absolute increase during the 14 days post-entry vs. pre-entry period. DiscussionWe observed that patients receiving end-of-life care had high levels of antibiotic exposure across this VA population, particularly during admissions when they received hospice or palliative care consultation.

A comparison of mortality rates for buprenorphine versus methadone treatments for opioid use disorder.

Mortality from opioid use disorder (OUD) can be reduced for patients who receive opioid agonist treatment (OAT). In the United States (US), OATs have different requirements including nearly daily visits to a dispensing facility for methadone but weekly to monthly prescriptions for buprenorphine. Our objective was to compare mortality rates for buprenorphine and methadone treatments among a large sample of US patients with OUD. We measured all-cause mortality, overdose mortality, and suicide mortality among US Department of Veterans Affairs patients with a diagnosis of OUD who received OAT from 2010 through 2019. We leveraged substantial and sustained regional variation in prescribing buprenorphine versus methadone as an instrumental variable (IV) and used inverse propensity of treatment weighting to balance relevant covariates across treatment groups. We compared mortality with true two-stage IV using both probit and linear probability models, as well as a reduced form IV model, adjusting for demographics and health status. Our cohort consisted of 61,997 patients with OUD who received OAT, of whom 92.7% were male with a mean age of 47.9 (SD=14.1) years. Patients were followed for a median of 2 (IQR=1,4) calendar years. Across regional terciles, mean methadone prescribing was 4.8%, 19.5%, and 75.1% of OAT patients. All models identified significant reductions in all-cause and suicide mortality for buprenorphine relative to methadone. For example, predicted all-cause mortality from the probit model was 169.7 per 10,000 person years (95% CI, 157.8, 179.6) in the lowest tercile of methadone prescribing compared with 206.1 (95% CI, 196.0, 216.3) in the highest tercile. No difference was identified for overdose mortality. We found significantly lower all-cause mortality and suicide mortality rates for buprenorphine compared with methadone. Our results support the less restrictive prescribing practices for buprenorphine as OAT in the US.

Leveraging unstructured electronic medical record notes to derive population-specific suicide risk models

Electronic medical record (EMR)-based suicide risk prediction methods typically rely on analysis of structured variables such as demographics, visit history, and prescription data. Leveraging unstructured EMR notes may improve predictive accuracy by allowing access to nuanced clinical information. We utilized natural language processing (NLP) to analyze a large EMR note corpus to develop a data-driven suicide risk prediction model. We developed a matched case-control sample of U.S. Department of Veterans Affairs (VA) patients in 2015 and 2016. We randomly matched each case (all patients that died by suicide in that interval, n = 5029) with five controls (patients that remained alive). We processed note corpus using NLP methods and applied machine-learning classification algorithms to output. We calculated area under the curve (AUC) and risk tiers to determine predictive accuracy. NLP-derived models demonstrated strong predictive accuracy. Patients that scored within top 10% of risk model accounted for up to 29% of suicide decedents. NLP-derived model compares positively to other leading prediction methods. Our approach is highly implementable, only requiring access to text data and open-source software. Additional studies should evaluate ensemble models incorporating NLP-derived information alongside more typical structured variables.

Prior Antibiotic Exposure Is Associated With Reoperation After Elective Non-colorectal Surgery.

Recent antibiotic exposure has previously been associated with poor outcomes following elective surgery. The purpose of this study is to evaluate the impact of prior recent antibiotic exposure in a multicenter cohort of Veterans Affairs patients undergoing elective non-colorectal surgery. This is a retrospective cohort study of the Veterans Affairs Surgical Quality Improvement Program, including elective, non-cardiovascular, non-colorectal surgery from 2013 to 2017. Outpatient antibiotic exposure within 90days prior to surgery was identified from the Veterans Affairs outpatient pharmacy database and matched with each case. Primary outcomes included serious complication, any complication, any infection, or surgical site infection. Secondary outcomes included 30-day mortality, length of stay, and Clostridioides difficile infection. Of 21,112 eligible patients, 2885 (13.7%) were exposed to antibiotics within 90days prior to surgery with a duration of 7 (IQR: 5-10) days and prescribed 42 (IQR: 21-64) days prior to surgical intervention. Compared to non-exposed patients, exposed patients had higher unadjusted complication rates, increased length of stay, and rates of return to the operating. Exposure was independently associated with return to the operating room (OR: 1.39; 99% CI: 1.05-1.84). Among Veterans, recent antibiotic exposure within 90days of elective surgery was associated with a 39% increase in the odds of return to the operating room. Further work is needed to evaluate the effects of antibiotic exposure and dysbiosis on surgical outcomes.

Comparative Effectiveness of Direct-Acting Antivirals for Posttraumatic Stress Disorder in Veterans Affairs Patients With Hepatitis C Virus Infection.

We recently conducted an exploratory study that indicated that several direct-acting antivirals (DAAs), highly effective medications for hepatitis C virus (HCV) infection, were also associated with improvement in posttraumatic stress disorder (PTSD) among a national cohort of US Department of Veterans Affairs (VA) patients treated between October 1, 1999, and September 30, 2019. Limiting the same cohort to patients with PTSD and HCV, we compared the associations of individual DAAs with PTSD symptom improvement using propensity score weighting. After identifying patients who had available baseline and endpoint PTSD symptom data as measured with the PTSD Checklist (PCL), we compared changes over the 8-12 weeks of DAA treatment. The DAAs most prescribed in conjunction with PCL measurement were glecaprevir/pibrentasvir (GLE/PIB; n= 54), sofosbuvir/velpatasvir (SOF/VEL; n= 54), and ledipasvir/sofosbuvir (LDV/SOF; n= 145). GLE/PIB was superior to LDV/SOF, with a mean difference in improvement of 7.3 points on the PCL (95% confidence interval (CI): 1.1, 13.6). The mean differences in improvement on the PCL were smaller between GLE/PIB and SOF/VEL (3.0, 95% CI: -6.3, 12.2) and between SOF/VEL and LDV/SOF (4.4, 95% CI: -2.4, 11.2). While almost all patients were cured of HCV (92.5%) regardless of the agent received, PTSD outcomes were superior for those receiving GLE/PIB compared with those receiving LDV/SOF, indicating that GLE/PIB may merit further investigation as a potential PTSD treatment.

Obesity treatment initiation, retention, and outcomes in the Veterans Affairs MOVE! Program among rural and urban veterans.

Rural veterans have high obesity rates. Yet, little is known about this population's engagement with the Veterans Affairs (VA) weight management program (MOVE!). The study objective is to determine whether MOVE! enrollment, anti-obesity medication use, bariatric surgery use, retention, and outcomes differ by rurality for veterans with severe obesity. This is a retrospective cohort study using Veterans Health Administration patient databases, including VA patients with severe obesity during 2015-2017. Patients were categorized using Rural-Urban Commuting Area codes. Primary outcomes included proportion of patients and risk-adjusted likelihood of initiating VA MOVE!, anti-obesity medication, or bariatric surgery and risk-adjusted highly rural|Hazard Ratio (HR) of any obesity treatment. Secondary outcomes included treatment retention (≥12weeks) and successful weight loss (5%) among patients initiating MOVE!, and risk-adjusted odds of retention and successful weight loss. Among 640,555 eligible veterans, risk-adjusted relative likelihood of MOVE! treatment was significantly lower for rural and HR veterans (HR=0.83, HR=0.67, respectively). Initiation rates of anti-obesity medication use were significantly lower as well, whereas bariatric surgery rates, retention, and successful weight loss did not differ. Overall treatment rates with MOVE!, bariatric surgery, and anti-obesity medications remain low. Rural veterans are less likely to enroll in MOVE! and less likely to receive anti-obesity medications than urban veterans.

Clinical outcomes of immune checkpoint inhibitor (ICI) therapy among Veterans Affairs patients with colorectal cancer and discordant dMMR/MSI-H status.

3534 Background: Clinical trials have demonstrated improvements in survival with immune checkpoint inhibitors (ICIs) for advanced colorectal cancer patients with MSI-H/dMMR detected using PCR-based assays (PCR) or immunohistochemistry (IHC), respectively. MSI-H can also be assessed by next-generation sequencing (NGS). Evaluation of real-world outcomes among MSI-H patients by NGS treated with ICIs are warranted, particularly when results are discordant between these tests. Methods: The VA National Precision Oncology Program Database was accessed to select veterans with colorectal cancer and an MSI-H biomarker by NGS. Baseline patient variables, disease characteristics, and duration of ICI treatment were obtained from the VA’s Corporate Data Warehouse. Concordance between NGS and IHC or PCR testing was computed, and the response rate and duration of ICI treatment in patients with discordant test results were recorded from chart review. Results: Among 1,276 colorectal cancer patients, 71 (5.6%) were found to have MSI-H by NGS. Of these, 22 (30.1%) received ICI. Among 49 patients who did not receive ICI, 36 had stage I-III disease, 5 had limited performance status, 5 were actively being treated with chemotherapy and 3 had completely resected stage IV disease. Of the 71 patients, 29 had dMMR IHC testing, 8 had MSI-H PCR testing, 1 had both IHC and PCR testing, and 34 patients had only NGS testing. No PCR tests were discordant with NGS but 8 of 29 IHC tests were discordant. Among these 8 patients with discordant IHC MMR and MSI-H by NGS, 5 received pembrolizumab. There were 3 partial responses, 1 stable disease and 1 progressive disease. Durable responses were seen with 3 of 5 patients remaining on therapy without progression at the time of this analysis at a median follow up of 8.5 months. Conclusions: In a cohort of NGS MSI-H colorectal cancer patients, there was a high rate of discordant IHC results. Clinical benefit is seen in patients treated with ICI with discordant testing results, suggesting that NGS testing identifies patients with false negative dMMR IHC testing in the real-world clinical setting.

Evaluating policies to improve access to mental health services in rural areas.

The United States Department of Veterans Affairs (VA) has gradually implemented policies to increase access to mental health care outside of VA medical centers. Most notably, this included requirements to offer mental health services at VA-administered community-based clinics in 2008 and increased access to VA-paid care in the community beginning in 2014. Our objective was to understand how mental health service use patterns changed for rural VA patients during this time. We developed a longitudinal cohort of all rural patients who used VA services between 2002 and 2019 (N = 3,345,862). We examined individual, health care, and contextual predictors of mental health service use as well as modalities of mental health service use during policy-relevant time periods using descriptive statistics. Access to mental health services increased with each policy change. The annual percentage of rural VA patients accessing mental health services increased from 11.4% in the earliest years (2002-2004) to 19.8% in the latest years (2017-2019). The most rapid period of increase followed a requirement for availability of mental health services at VA-administered community clinics. Increasing access to VA-paid care in the community had less effect. By the end of the evaluation, gaps remained in the delivery of care to elderly patients over the age of 75. Rural patients use mental health services when they become available. Access was the highest with a combination of changes to both delivery modalities and payment methods. Continued, and perhaps different efforts are required to address a persistent disparity for older patients.

Dialysis Care for US Military Veterans in Puerto Rico during the 2017 Atlantic Hurricane Season.

Patients with end stage kidney disease (ESKD) are at higher risk for increased mortality and morbidity due to disaster-related disruptions to care. We examine effects of Hurricanes Irma and Maria on access to dialysis care for US Department of Veterans Affairs (VA) ESKD patients in Puerto Rico. A retrospective, longitudinal cohort study was conducted among VA patients with at least 1 dialysis-related encounter between September 6, 2016, and September 5, 2018. The annual number of dialysis encounters, visits to an emergency department (ED), and the number of deaths pre- and post-hurricanes were compared. A random effects logistic regression model for correlated binary outcomes was fitted for predictors of mortality. Chi-square tests were for differences between pre- and post-hurricane visits. The number of ED visits increased in post-hurricane period (1172 [5.7%] to 1195 [6.6%]; P < 0.001). ESKD-related ED visits increased from 200 (0.9%) to 227 (1.3%) (P < 0.05). Increase in mortality was associated with age (OR = 1.66; CI: 1.23-2.17), heart failure (OR = 2.07; CI: 1.26-3.40), chronic pulmonary disease (OR = 3.26; CI: 1.28-8.28), and sepsis (OR = 3.16; CI: 1.89-5.29). There was an increase in dialysis services at the San Juan VA Medical Center post-Irma/Maria, and access to dialysis care at the non-VA clinics was limited. The role of VA dialysis centers in providing care during disasters warrants further investigation.

Antibiotic susceptibility patterns of viridans group streptococci isolates in the United States from 2010 to 2020.

BackgroundViridans group streptococci (VGS) are typically part of the commensal flora but can also cause severe invasive diseases such as infective endocarditis. There are limited data available showing antibiotic susceptibility over time for VGS.ObjectivesTo evaluate antibiotic susceptibility trends in VGS over time.Methods In vitro susceptibility patterns for 33 antibiotics were examined for Streptococcus mitis, Streptococcus oralis, and non-speciated VGS isolates from patients in Veterans Affairs (VA) Medical Centers in the United States between 2010 and 2020. Susceptibility determinations were made by the individual clinical microbiology laboratories and data were retrospectively collected from the VA Corporate Data Warehouse. Susceptibility trends were analysed using Poisson regression.ResultsA total of 14 981 VGS isolates were included of which 19.5%, 0.7% and 79.8% were S. mitis, S. oralis and non-speciated VGS isolates, respectively. Cumulative susceptibility rates across all years were similar between species for ceftriaxone (range: 96.0% to 100%), clindamycin (81.3% to 84.5%), and vancomycin (99.7% to 100%). For penicillin, susceptibility rates were 71.0%, 80.9% and 86.3% for S. mitis, S. oralis and non-speciated isolates, respectively. From 2010 to 2020, susceptibility of non-speciated VGS isolates decreased for erythromycin (P = 0.0674), penicillin (P = 0.0835), and tetracycline (P = 0.0994); though the decrease was only significant for clindamycin (P = 0.0033). For S. mitis, a significant susceptibility rate decrease was observed for erythromycin (P = 0.0112).ConclusionsSusceptibility rates for some clinically relevant antibiotics declined between 2010 and 2020. This worrisome trend highlights the need to improve antimicrobial stewardship efforts to limit unnecessary antibiotic use and preserve empirical treatment options.

C-56 | The Heart Knows: How Heart Failure Exacerbations Predict Mortality in Veterans Undergoing Transcatheter Aortic Valve Replacement

Heart failure exacerbations (HFE) are associated with adverse clinical outcomes in all-comers undergoing transcatheter aortic valve replacement (TAVR). However, to our knowledge, this has not been studied in the Veterans Affairs (VA) population, a patient population that has not been well studied or represented. The purpose of this study is to determine if HFE following TAVR predicts outcomes in VA patients.

Use of blood pressure measurements extracted from the electronic health record in predicting Alzheimer's disease: A retrospective cohort study at two medical centers.

Studies investigating the relationship between blood pressure (BP) measurements from electronic health records (EHRs) and Alzheimer's disease (AD) rely on summary statistics, like BP variability, and have only been validated at a single institution. We hypothesize that leveraging BP trajectories can accurately estimate AD risk across different populations. In a retrospective cohort study, EHR data from Veterans Affairs (VA) patients were used to train and internally validate a machine learning model to predict AD onset within 5 years. External validation was conducted on patients from Michigan Medicine (MM). The VA and MM cohorts included 6860 and 1201 patients, respectively. Model performance using BP trajectories was modest but comparable (area under the receiver operating characteristic curve [AUROC] = 0.64 [95% confidence interval (CI) = 0.54-0.73] for VA vs. AUROC = 0.66 [95% CI = 0.55-0.76] for MM). Approaches that directly leverage BP trajectories from EHR data could aid in AD risk stratification across institutions.

Association of Psychiatric Disorders With Incidence of SARS-CoV-2 Breakthrough Infection Among Vaccinated Adults

Psychiatric disorders may be associated with an increased risk for SARS-CoV-2 breakthrough infection after vaccination, but no studies have tested this hypothesis. To evaluate whether past diagnoses of psychiatric disorders are associated with an increased incidence of SARS-CoV-2 breakthrough infection among fully vaccinated individuals. This retrospective cohort study included data from the administrative and electronic health records of US Department of Veterans Affairs (VA) patients from February 20, 2020, to November 16, 2021. Participants included 263 697 patients who accessed VA health care during the study period, had at least 1 SARS-CoV-2 test recorded in the electronic health record, had no record of SARS-CoV-2 infection prior to vaccination, and had completed a full SARS-CoV-2 vaccination regimen 14 days or more prior. Psychiatric disorder diagnoses in the past 5 years, including depressive, posttraumatic stress, anxiety, adjustment, alcohol use, substance use, bipolar, psychotic, attention-deficit/hyperactivity, dissociative, and eating disorders. SARS-CoV-2 breakthrough infections, defined as positive SARS-CoV-2 tests, among fully vaccinated individuals. Of 263 697 fully vaccinated VA patients (239 539 men [90.8%]; mean [SD] age, 66.2 [13.8] years), 135 481 (51.4%) had at least 1 psychiatric disorder diagnosis, and 39 109 (14.8%) developed a breakthrough infection. A diagnosis of any psychiatric disorder was associated with increased incidence of breakthrough infection, both in models adjusted for potential confounders (adjusted relative risk [aRR], 1.07; 95% CI, 1.05-1.09) and additionally adjusted for medical comorbidities and smoking (aRR, 1.03; 95% CI, 1.01-1.05). Most specific psychiatric disorder diagnoses were associated with an increased incidence of breakthrough infection, with the highest relative risk observed for adjustment disorder (aRR, 1.13; 95% CI, 1.10-1.16) and substance use disorders (aRR, 1.16; 95% CI, 1.12-1.21) in fully adjusted models. Stratifying the sample at 65 years of age revealed that associations between psychiatric diagnoses and incident breakthrough infection were present in both age groups but were stronger and robust to adjustment for medical comorbidities and smoking among older patients. This cohort study suggests that psychiatric disorder diagnoses were associated with an increased incidence of SARS-CoV-2 breakthrough infection among VA patients, with the strongest associations observed for older individuals. Individuals with psychiatric disorders may be at heightened risk for contracting COVID-19 even after vaccination, suggesting the need for targeted prevention efforts.

Demographic Differences Among US Department of Veterans Affairs Patients Referred for Genetic Consultation to a Centralized VA Telehealth Program, VA Medical Centers, or the Community

Telehealth enables access to genetics clinicians, but impact on care coordination is unknown. To assess care coordination and equity of genetic care delivered by centralized telehealth and traditional genetic care models. This cross-sectional study included patients referred for genetic consultation from 2010 to 2017 with 2 years of follow-up in the US Department of Veterans Affairs (VA) health care system. Patients were excluded if they were referred for research, cytogenetic, or infectious disease testing, or if their care model could not be determined. Genetic care models, which included VA-telehealth (ie, a centralized team of genetic counselors serving VA facilities nationwide), VA-traditional (ie, a regional service by clinical geneticists and genetic counselors), and non-VA care (ie, community care purchased by the VA). Multivariate regression models were used to assess associations between patient and consultation characteristics and the type of genetic care model referral; consultation completion; and having 0, 1, or 2 or more cancer surveillance (eg, colonoscopy) and risk-reducing procedures (eg, bilateral mastectomy) within 2 years following referral. In this study, 24 778 patients with genetics referrals were identified, including 12 671 women (51.1%), 13 193 patients aged 50 years or older (53.2%), 15 639 White patients (63.1%), and 15 438 patients with cancer-related referrals (62.3%). The VA-telehealth model received 14 580 of the 24 778 consultations (58.8%). Asian patients, American Indian or Alaskan Native patients, and Hawaiian or Pacific Islander patients were less likely to be referred to VA-telehealth than White patients (OR, 0.54; 95% CI, 0.35-0.84) compared with the VA-traditional model. Completing consultations was less likely with non-VA care than the VA-traditional model (OR, 0.45; 95% CI, 0.35-0.57); there were no differences in completing consultations between the VA models. Black patients were less likely to complete consultations than White patients (OR, 0.84; 95% CI, 0.76-0.93), but only if referred to the VA-telehealth model. Patients were more likely to have multiple cancer preventive procedures if they completed their consultations (OR, 1.55; 95% CI, 1.40-1.72) but only if their consultations were completed with the VA-traditional model. In this cross-sectional study, the VA-telehealth model was associated with improved access to genetics clinicians but also with exacerbated health care disparities and hindered care coordination. Addressing structural barriers and the needs and preferences of vulnerable subpopulations may complement the centralized telehealth approach, improve care coordination, and help mitigate health care disparities.

Association of Medication Treatment for Opioid Use Disorder With Suicide Mortality.

Understanding the effectiveness of medication treatment for opioid use disorder to decrease the risk of suicide mortality may inform clinical and policy decisions. The authors sought to describe the effect of medications for opioid use disorder (MOUD) on risk of suicide mortality. This was a retrospective cohort study in Department of Veterans Affairs (VA) patients from 2003 to 2017. The authors linked three data sources: the VA Corporate Data Warehouse, Centers for Medicare and Medicaid Services Claims Data, and the VA-Department of Defense Mortality Data Repository. The exposure of interest was MOUD, including starting periods (first 14 days on treatment), stopping periods (first 14 days off treatment), stable time on treatment, and stable time off treatment (reference category). The main outcome measures included suicide mortality, external-cause mortality, and all-cause mortality in the 5 years following initiation of MOUD. Over 60,000 VA patients received MOUD. Patients were typically male (92.8%) and their mean age was 46.5 years (SD=13.1). After adjusting for demographic characteristics, mental health and physical health conditions, and health care utilization, the adjusted hazard ratio during stable MOUD was 0.45 (95% CI=0.32, 0.63) for suicide mortality, 0.35 (95% CI=0.31, 0.40) for external-cause mortality, and 0.34 (95% CI=0.31, 0.37) for all-cause mortality. MOUD starting periods were associated with an adjusted hazard ratio for suicide mortality of 0.55 (95% CI=0.25, 1.21), and MOUD stopping periods were associated with an adjusted hazard ratio for suicide mortality of 1.38 (95% CI=0.82, 2.34). Treatment with MOUD was associated with a substantial reduction in suicide mortality as well external causes of mortality and all-cause mortality.

Optimizing Data on Race and Ethnicity for Veterans Affairs Patients.

Maintaining accurate race and ethnicity data among patients of the Veterans Affairs (VA) healthcare system has historically been a challenge. This work expands on previous efforts to optimize race and ethnicity values by combining multiple VA data sources and exploring race- and ethnicity-specific collation algorithms. We linked VA patient data from 2000 to 2018 with race and ethnicity data from four administrative and electronic health record sources: VA Medical SAS files (MedSAS), Corporate Data Warehouse (CDW), VA Centers for Medicare extracts (CMS), and VA Defense Identity Repository Data (VADIR). To assess the accuracy of each data source, we compared race and ethnicity values to self-reported data from the Survey of Health Experiences of Patients (SHEP). We used Cohen's Kappa to assess overall (holistic) source agreement and positive predictive values (PPV) to determine the accuracy of sources for each race and ethnicity separately. Holistic agreement with SHEP data was excellent (K > 0.80 for all sources), while race- and ethnicity-specific agreement varied. All sources were best at identifying White and Black users (average PPV = 0.94, 0.93, respectively). When applied to the full VA user population, both holistic and race-specific algorithms substantially reduced unknown values, as compared to single-source methods. Combining multiple sources to generate race and ethnicity values improves data accuracy among VA patients. Based on the overall agreement with self-reported data, we recommend using non-missing values from sources in the following order to fill in race values-SHEP, CMS, CDW, MedSAS, and VADIR-and in the following order to fill in ethnicity values-SHEP, CDW, MedSAS, VADIR, and CMS.

Outpatient care fragmentation in Veterans Affairs patients at high-risk for hospitalization.

To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization. Veterans Affairs (VA) and Medicare data. We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau's Usual Provider of Care (UPC), Bice-Boxerman's Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patient's age, gender, race, ethnicity, marital status, rural status, history of homelessness, number of chronic conditions, Medicare utilization, and mental health care utilization. We extracted data for 130,704 VA patients ≥65 years old with a hospitalization risk ≥90th percentile and ≥ four outpatient visits in the baseline year. The mean (SD) of FY14 outpatient visits was 13.2 (8.6). Fragmented care (more providers, less care with a usual provider, more dispersed care based on COCI) was more common among patients with more chronic conditions and those receiving mental health care. In adjusted models, most fragmentation measures were not associated with all-cause hospitalization, and patients with low levels of fragmentation (more concentrated care based on UPC, COCI, and MMCI) had a higher likelihood of an ACSC-related hospitalization (AOR, 95% CI=1.21 (1.09-1.35), 1.27 (1.14-1.42), and 1.28 (1.18-1.40), respectively). Contrary to expectations, outpatient care fragmentation was not associated with elevated all-cause hospitalization rates among VA patients in the top 10th percentile for risk of admission; in fact, fragmented care was linked to lower rates of hospitalization for ACSCs. In integrated settings such as the VA, multiple providers, and dispersed care might offer access to timely or specialized care that offsets risks of fragmentation, particularly for conditions that are sensitive to ambulatory care.