Risk of Potentially Preventable Hospitalizations After SARS-CoV-2 Infection.

Importance: Research demonstrates that SARS-CoV-2 infection is associated with increased risk of all-cause hospitalization. However, no prior studies have assessed the association between SARS-CoV-2 and potentially preventable hospitalizations-that is, hospitalizations for conditions that can usually be effectively managed in ambulatory care settings. Objective: To examine whether SARS-CoV-2 is associated with potentially preventable hospitalization in a nationwide cohort of US veterans. Design, Setting, and Participants: This cohort study used an emulated target randomized trial design with monthly sequential trials to compare risk of a potentially preventable hospitalization among veterans with SARS-CoV-2 and matched comparators without SARS-CoV-2. A total of 189 136 US veterans enrolled in the Veterans Health Administration (VHA) who were diagnosed with SARS-CoV-2 between March 1, 2020, and April 30, 2021, and 943 084 matched comparators were included in the analysis. Data were analyzed from May 10, 2023, to January 26, 2024. Exposure: SARS-CoV-2 infection. Main Outcomes and Measures: The primary outcome was a first potentially preventable hospitalization in VHA facilities, VHA-purchased community care, or Medicare fee-for-service care. Extended Cox models were used to examine adjusted hazard ratios (AHRs) of potentially preventable hospitalization among veterans with SARS-CoV-2 and comparators during follow-up periods of 0 to 30, 0 to 90, 0 to 180, and 0 to 365 days. The start of follow-up was defined as the date of each veteran's first positive SARS-CoV-2 diagnosis, with the same index date applied to their matched comparators. Results: The 1 132 220 participants were predominantly men (89.06%), with a mean (SD) age of 60.3 (16.4) years. Most veterans were of Black (23.44%) or White (69.37%) race. Veterans with SARS-CoV-2 and comparators were well-balanced (standardized mean differences, all <0.100) on observable baseline clinical and sociodemographic characteristics. Overall, 3.10% of veterans (3.81% of those with SARS-CoV-2 and 2.96% of comparators) had a potentially preventable hospitalization during 1-year follow-up. Risk of a potentially preventable hospitalization was greater among veterans with SARS-CoV-2 than comparators in 4 follow-up periods: 0- to 30-day AHR of 3.26 (95% CI, 3.06-3.46); 0- to 90-day AHR of 2.12 (95% CI, 2.03-2.21); 0- to 180-day AHR of 1.69 (95% CI, 1.63-1.75); and 0- to 365-day AHR of 1.44 (95% CI, 1.40-1.48). Conclusions and Relevance: In this cohort study, an increased risk of preventable hospitalization in veterans with SARS-CoV-2, which persisted for at least 1 year after initial infection, highlights the need for research on ways in which SARS-CoV-2 shapes postinfection care needs and engagement with the health system. Solutions are needed to mitigate preventable hospitalization after SARS-CoV-2.

Harmonizing federal interagency traumatic brain injury research data to examine depression and suicide-related outcomes.

OBJECTIVE: This proof-of-concept study was conducted to establish the feasibility of compiling Federal Interagency Traumatic Brain Injury Research (FITBIR) data pertaining to depression and suicide risk, with the secondary goal of improving understanding regarding these outcomes. FITBIR is a national repository of participant-level traumatic brain injury (TBI) data designed to address methodological limitations (e.g., small sample size, heterogeneity of injuries). METHOD: FITBIR studies with TBI severity and measures related to depression and suicidal ideation were identified. Data were harmonized across relevant studies and grouped to identify "probable depression" and suicidal ideation, resulting in a large, combined sample. Rates of probable depression and suicidal ideation were described across the available studies, considering the influence of demographic and/or injury-related factors on outcomes. RESULTS: Cross-sectional studies meeting criteria included four studies with depression outcomes and two with suicidal ideation outcomes. Two studies reported data appropriate for comparative analyses on depression. Combined results suggested that approximately 71% of participants were categorized as having probable depression. Participants with a history of mild TBI had 2.54 greater odds of probable depression (95% confidence interval [1.93, 3.34]) than those without a history of TBI. CONCLUSIONS: Methods, harmonization code, and meta-databases related to TBI, probable depression, and suicidal ideation are now publicly available on the FITBIR website. Even with limited data, harmonization of FITBIR studies can serve as the basis for ongoing TBI and mental health research. Analyses will be more robust in the future as more studies with relevant outcome data are added to the FITBIR database. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Trajectories of care and outcomes of Veterans receiving home-based primary care.

BACKGROUND: Veterans Affairs (VA) home-based primary care (HBPC) provides comprehensive longitudinal care to patients with complex, chronic disabling disease. While enrollment is associated with lower hospitalization rates and costs, detailed trajectories have not been well described. METHODS: We performed a longitudinal descriptive study of patients newly enrolled in VA HBPC in fiscal year (FY) 2015. We extracted demographics, comorbidities, functional status, and social supports from VA and Medicare data and examined patterns of care and clinical outcomes, including hospital, nursing home (NH), hospice use and mortality from FY2015-2017. We present results using descriptive statistics, alluvial plots, and heat maps. RESULTS: We identified 10,571 HBPC enrollees in FY2015; mean age was 77.7. HBPC patients commonly had chronic medical conditions with high self-management burden (e.g., diabetes 48.2%) and disabling conditions such as dementia (39.3%). Over half had ≥2 deficits in activities of daily living, 46% had caregivers with functional limitations or no caregiver, and 25% resided in a socially deprived area. Patients experienced variable care trajectories. Mean time enrolled in HBPC was 331 days, 8.3% of patients were discharged after 3 months, and 22.8% stayed enrolled for over 2 years. Institutional health care use declined in the 6 months after initial enrollment: (e.g., hospital: 41%-25%, NH: 34%-11%). At 2 years, 36% of patients had died; among decedents, 58% received hospice and 72% died in a non-institutional setting. In the last 180 days of life, 84% of time was spent at home, and once enrolled in hospice, 97% of time was spent outside of institutional care. CONCLUSIONS: HBPC patients experience highly variable care trajectories but on average have reductions in acute care use and spend a majority of time in non-institutional settings. These data allow for a nuanced understanding of HBPC, providing a platform for monitoring, evaluating, and improving program function.

Risk of Suicide-Related Outcomes After SARS-COV-2 Infection: Results from a Nationwide Observational Matched Cohort of US Veterans.

BACKGROUND: Negative mental health-related effects of SARS-COV-2 infection are increasingly evident. However, the impact on suicide-related outcomes is poorly understood, especially among populations at elevated risk. OBJECTIVE: To determine risk of suicide attempts and other self-directed violence (SDV) after SARS-COV-2 infection in a high-risk population. DESIGN: We employed an observational design supported by comprehensive electronic health records from the Veterans Health Administration (VHA) to examine the association of SARS-COV-2 infection with suicide attempts and other SDV within one year of infection. Veterans with SARS-COV-2 infections were matched 1:5 with non-infected comparators each month. Three periods after index were evaluated: days 1-30, days 31-365, and days 1-365. PARTICIPANTS: VHA patients infected with SARS-COV-2 between March 1, 2020 and March 31, 2021 and matched non-infected Veteran comparators. MAIN MEASURES: Suicide attempt and other SDV events for the COVID-19 and non-infected comparator groups were analyzed using incidence rates per 100,000 person years and hazard ratios from Cox regressions modeling time from matched index date to first event. Subgroups were also examined. KEY RESULTS: 198,938 veterans with SARS-COV-2 (COVID-19 group) and 992,036 comparators were included. Unadjusted one-year incidence per 100,000 for suicide attempt and other SDV was higher among the COVID-19 group: 355 vs 250 and 327 vs 235, respectively. The COVID-19 group had higher risk than comparators for suicide attempts: days 1-30 hazard ratio (HR) = 2.54 (CI:2.05, 3.15), days 31-365 HR = 1.30 (CI:1.19, 1.43) and days 1-365 HR = 1.41 (CI:1.30, 1.54), and for other SDV: days 1-30 HR = 1.94 (CI:1.51, 2.49), days 31-365 HR = 1.32 (CI:1.20, 1.45) and days 1-365 HR = 1.38 (CI:1.26, 1.51). CONCLUSIONS: COVID-19 patients had higher risks of both suicide attempts and other forms of SDV compared to uninfected comparators, which persisted for at least one year after infection. Results support suicide risk screening of those infected with SARS-COV-2 to identify opportunities to prevent self-harm.

Understanding care coordination for Veterans with complex care needs: protocol of a multiple-methods study to build evidence for an effectiveness and implementation study.

Background: For patients with complex health and social needs, care coordination is crucial for improving their access to care, clinical outcomes, care experiences, and controlling their healthcare costs. However, evidence is inconsistent regarding the core elements of care coordination interventions, and lack of standardized processes for assessing patients' needs has made it challenging for providers to optimize care coordination based on patient needs and preferences. Further, ensuring providers have reliable and timely means of communicating about care plans, patients' full spectrum of needs, and transitions in care is important for overcoming potential care fragmentation. In the Veterans Health Administration (VA), several initiatives are underway to implement care coordination processes and services. In this paper, we describe our study underway in the VA aimed at building evidence for designing and implementing care coordination practices that enhance care integration and improve health and care outcomes for Veterans with complex care needs. Methods: In a prospective observational multiple methods study, for Aim 1 we will use existing data to identify Veterans with complex care needs who have and have not received care coordination services. We will examine the relationship between receipt of care coordination services and their health outcomes. In Aim 2, we will adapt the Patient Perceptions of Integrated Veteran Care questionnaire to survey a sample of Veterans about their experiences regarding coordination, integration, and the extent to which their care needs are being met. For Aim 3, we will interview providers and care teams about their perceptions of the innovation attributes of current care coordination needs assessment tools and processes, including their improvement over other approaches (relative advantage), fit with current practices (compatibility and innovation fit), complexity, and ability to visualize how the steps proceed to impact the right care at the right time (observability). The provider interviews will inform design and deployment of a widescale provider survey. Discussion: Taken together, our study will inform development of an enhanced care coordination intervention that seeks to improve care and outcomes for Veterans with complex care needs.

Intersection of Palliative Care and Hospice Use Among Patients With Advanced Lung Cancer.

Background: Hospice and palliative care (PC) are important components of lung cancer care and independently provide benefits to patients and their families. Objective: To better understand the relationship between hospice and PC and factors that influence this relationship. Methods: A retrospective cohort study of patients diagnosed with advanced lung cancer (stage IIIB/IV) within the U.S. Veterans Health Administration (VA) from 2007 to 2013 with follow-up through 2017 (n = 22,907). Mixed logistic regression models with a random effect for site, adjustment for patient variables, and propensity score weighting were used to examine whether the association between PC and hospice use varied by U.S. region and PC team characteristics. Results: Overall, 57% of patients with lung cancer received PC, 69% received hospice, and 16% received neither. Of those who received hospice, 60% were already enrolled in PC. Patients who received PC had higher odds of hospice enrollment than patients who did not receive PC (adjusted odds ratio = 3.25, 95% confidence interval: 2.43-4.36). There were regional differences among patients who received PC; the predicted probability of hospice enrollment was 85% and 73% in the Southeast and Northeast, respectively. PC team and facility characteristics influenced hospice use in addition to PC; teams with the shortest duration of existence, with formal team training, and at lower hospital complexity were more likely to use hospice (all p < 0.05). Conclusions: Among patients with advanced lung cancer, PC was associated with hospice enrollment. However, this relationship varied by geographic region, and PC team and facility characteristics. Our findings suggest that regional PC resource availability may contribute to substitution effects between PC and hospice for end-of-life care.

Using Nudges to Reduce Missed Appointments in Primary Care and Mental Health: a Pragmatic Trial.

BACKGROUND: Missed appointments ("no-shows") are a persistent and costly problem in healthcare. Appointment reminders are widely used but usually do not include messages specifically designed to nudge patients to attend appointments. OBJECTIVE: To determine the effect of incorporating nudges into appointment reminder letters on measures of appointment attendance. DESIGN: Cluster randomized controlled pragmatic trial. PATIENTS: There were 27,540 patients with 49,598 primary care appointments, and 9420 patients with 38,945 mental health appointments, between October 15, 2020, and October 14, 2021, at one VA medical center and its satellite clinics that were eligible for analysis. INTERVENTIONS: Primary care (n = 231) and mental health (n = 215) providers were randomized to one of five study arms (four nudge arms and usual care as a control) using equal allocation. The nudge arms included varying combinations of brief messages developed with veteran input and based on concepts in behavioral science, including social norms, specific behavioral instructions, and consequences of missing appointments. MAIN MEASURES: Primary and secondary outcomes were missed appointments and canceled appointments, respectively. STATISTICAL ANALYSIS: Results are based on logistic regression models adjusting for demographic and clinical characteristics, and clustering for clinics and patients. KEY RESULTS: Missed appointment rates in study arms ranged from 10.5 to 12.1% in primary care clinics and 18.0 to 21.9% in mental health clinics. There was no effect of nudges on missed appointment rate in primary care (OR = 1.14, 95%CI = 0.96-1.36, p = 0.15) or mental health (OR = 1.20, 95%CI = 0.90-1.60, p = 0.21) clinics, when comparing the nudge arms to the control arm. When comparing individual nudge arms, no differences in missed appointment rates nor cancellation rates were observed. CONCLUSIONS: Appointment reminder letters incorporating brief behavioral nudges were ineffective in improving appointment attendance in VA primary care or mental health clinics. More complex or intensive interventions may be necessary to significantly reduce missed appointments below their current rates. TRIAL NUMBER: ClinicalTrials.gov, Trial number NCT03850431.

Design and analysis of outcomes following SARS-CoV-2 infection in veterans.

BACKGROUND: Understanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strategy employed by the Department of Veterans Affairs' (VA) COVID-19 Observational Research Collaboratory (CORC) to develop comparable cohorts of SARS-CoV-2 infected and uninfected persons for the purpose of inferring potential causative long-term adverse effects of SARS-CoV-2 infection in the Veteran population. METHODS: In a retrospective cohort study, we identified VA health care system patients who were and were not infected with SARS-CoV-2 on a rolling monthly basis. We generated matched cohorts within each month utilizing a combination of exact and time-varying propensity score matching based on electronic health record (EHR)-derived covariates that can be confounders or risk factors across a range of outcomes. RESULTS: From an initial pool of 126,689,864 person-months of observation, we generated final matched cohorts of 208,536 Veterans infected between March 2020-April 2021 and 3,014,091 uninfected Veterans. Matched cohorts were well-balanced on all 39 covariates used in matching after excluding patients for: no VA health care utilization; implausible age, weight, or height; living outside of the 50 states or Washington, D.C.; prior SARS-CoV-2 diagnosis per Medicare claims; or lack of a suitable match. Most Veterans in the matched cohort were male (88.3%), non-Hispanic (87.1%), white (67.2%), and living in urban areas (71.5%), with a mean age of 60.6, BMI of 31.3, Gagne comorbidity score of 1.4 and a mean of 2.3 CDC high-risk conditions. The most common diagnoses were hypertension (61.4%), diabetes (34.3%), major depression (32.2%), coronary heart disease (28.5%), PTSD (25.5%), anxiety (22.5%), and chronic kidney disease (22.5%). CONCLUSION: This successful creation of matched SARS-CoV-2 infected and uninfected patient cohorts from the largest integrated health system in the United States will support cohort studies of outcomes derived from EHRs and sample selection for qualitative interviews and patient surveys. These studies will increase our understanding of the long-term outcomes of Veterans who were infected with SARS-CoV-2.

Veteran Perspectives on Population-Based Suicide Risk Screening in VHA Primary Care: Mixed-Methods Study.

BACKGROUND: In late 2018, VHA implemented a multi-stage suicide risk screening and evaluation initiative, Suicide Risk Identification Strategy, or "Risk ID," in primary care settings. OBJECTIVE: The main objective of this study was to characterize VHA primary care patient perspectives regarding population-based suicide risk screening through the Risk ID program. DESIGN: Mixed methods; survey and qualitative interviews. PARTICIPANTS: Veterans screened for suicide risk using Risk ID in primary care (n = 868) participated in a survey of veteran attitudes about screening (45% response rate); thirty additionally participated in follow-up qualitative interviews. MAIN MEASURES: The quantitative survey consisted of three questions on attitudes about screening for suicidal thoughts in primary care. In qualitative interviews, veterans were asked about their experiences with the Risk ID processes and recommendations for improving Risk ID. KEY RESULTS: Over 90% of veterans reported that it is appropriate for primary care providers or nurses/medical assistants to ask veterans about thoughts of suicide during primary care visits. Approximately half of veterans indicated that veterans should be asked about suicidal thoughts at every visit. Qualitative findings revealed that while most veterans were generally supportive and appreciated VHA screening for suicidal thoughts, they also expressed concern for the potential for inadvertent harm. Participants expressed conflicting preferences for how screening should be handled and delivered. CONCLUSIONS: Findings suggest that most veterans support the integration of standardized suicide risk assessment into routine primary care visits. However, findings also suggest that population-based suicide risk assessment should further consider patient experiences and preferences. Specifically, additional guidance or training for staff conducting suicide risk screening may be warranted to ensure patients feel heard (e.g., eye contact, expressing empathy) and increase patient understanding of the purpose of the screening and potential outcomes. These patient-centered approaches may improve patient experience and facilitate disclosure of suicidal thoughts.

Are We on the Same Page? A Cross-Sectional Study of Patient-Clinician Goal Concordance in Rheumatoid Arthritis.

OBJECTIVE: Patient-clinician goal concordance is associated with improved outcomes in certain chronic diseases but not explored in rheumatoid arthritis (RA). We examined goal concordance, correlates of concordance, and the association of concordance with health outcomes. METHODS: Adult patients with RA seen at least 1 time in the prior 12 months at 1 of 2 rheumatology clinics participated. Patients and their clinicians independently ranked top 3 goals for RA treatment from 8 options before a routine visit. Patients completed postvisit surveys on health, demographic information, health literacy, and adherence. Goal concordance was defined as the patient's number 1 goal being among the clinician's top 3 goals for that patient. Bivariable and multivariable logistic regression models were used to examine correlates of concordance. RESULTS: Patients were 58% female and 16% Spanish-speaking, and 29% had limited health literacy. Among 204 patient-clinician dyads, 20% were goal-discordant. "Have less pain" was selected by both patient and clinician in 81% of dyads, followed by "have fewer problems doing daily activities" by 63%. Otherwise, clinicians prioritized avoiding side effects, whereas patients ranked improved sleep, fatigue, and mood. Longer disease duration was associated with discordance (median 13.3 years, interquartile range [IQR] 5.2-20 among discordant vs. 7 years, IQR 4-14; P = 0.039); higher depressive symptoms were associated with concordance (8.1% vs. 24%; P = 0.04). Goal concordance was associated with higher medication adherence (adjusted odds ratio 2.76 [95% confidence interval 1.01, 7.56]). CONCLUSION: One in 5 patient-clinician dyads had discordant treatment goals. Goal concordance was associated with higher medication adherence. Studies to improve goal elicitation and communication of patients with RA's priorities are needed.

Early Impact of VA MISSION Act Implementation on Primary Care Appointment Wait Time.

BACKGROUND: Through Community Care Networks (CCNs) implemented with the VA MISSION Act, VA expanded provider contracting and instituted network adequacy standards for Veterans' community care. OBJECTIVE: To determine whether early CCN implementation impacted community primary care (PC) appointment wait times overall, and by rural/urban and PC shortage area (HPSA) status. DESIGN: Using VA administrative data from February 2019 through February 2020 and a difference-in-differences approach, we compared wait times before and after CCN implementation for appointments scheduled by VA facilities that did (CCN appointments) and did not (comparison appointments) implement CCNs. We ran regression models with all appointments, and stratified by rural/urban and PC HPSA status. All models adjusted for Veteran characteristics and VA facility-level clustering. APPOINTMENTS: 13,720 CCN and 40,638 comparison appointments. MAIN MEASURES: Wait time, measured as number of days from authorization to use community PC to a Veteran's first corresponding appointment. KEY RESULTS: Overall, unadjusted wait times increased by 35.7 days ([34.4, 37.1] 95% CI) after CCN implementation. In adjusted analysis, comparison wait times increased on average 33.7 days ([26.3, 41.2] 95% CI, p < 0.001) after CCN implementation; there was no significant difference for CCN wait times (across-group mean difference: 5.4 days, [-3.8, 14.6] 95% CI, p = 0.25). In stratified analyses, comparison wait time increases ranged from 29.6 days ([20.8, 38.4] 95% CI, p < 0.001) to 42.1 days ([32.9, 51.3] 95% CI, p > 0.001) after CCN implementation, while additional differences for CCN appointments ranged from 13.4 days ([3.5, 23.4] 95% CI, p = 0.008) to -15.1 days ([-30.1, -0.1] 95% CI, p = 0.05) for urban and PC HPSA appointments, respectively. CONCLUSIONS: After early CCN implementation, community PC wait times increased sharply at VA facilities that did and did not implement CCNs, regardless of rural/urban or PC HPSA status, suggesting community care demand likely overwhelmed VA resources such that CCNs had limited impact.

Hospital Readmissions Among Veterans Within 90 Days of Discharge Following Initial Hospitalization for COVID-19.

INTRODUCTION: Some patients experience ongoing sequelae after discharge, including rehospitalization; therefore, outcomes following COVID-19 hospitalization are of continued interest. We examined readmissions within 90 days of hospital discharge for veterans hospitalized with COVID-19 during the first 10 months of the pandemic in the US. METHODS: Veterans hospitalized with COVID-19 at a Veterans Health Administration (VA) hospital from March 1, 2020, through December 31, 2020 were followed for 90 days after discharge to determine readmission rates. RESULTS: Of 20,414 veterans hospitalized with COVID-19 during this time period, 13% (n = 2,643) died in the hospital. Among survivors (n = 17,771), 16% (n = 2,764) were readmitted within 90 days of discharge, with a mean time to readmission of 21.6 days (SD = 21.1). Characteristics of the initial COVID-19 hospitalization associated with readmission included length of stay, mechanical ventilator use, higher comorbidity index score, current smoking, urban residence, discharged against medical advice, and hospitalized from September through December 2020 versus March through August 2020 (all P values <.02). Veterans readmitted from September through December 2020 were more often White, lived in a rural or highly rural area, and had shorter initial hospitalizations than veterans hospitalized earlier in the year. CONCLUSION: Approximately 1 of 6 veterans discharged alive following a COVID-19 hospitalization from March 1 through December 31, 2020, were readmitted within 90 days. The longer the hospital stay, the greater the likelihood of readmission. Readmissions also were more likely when the initial admission required mechanical ventilation, or when the veteran had multiple comorbidities, smoked, or lived in an urban area. COVID-19 hospitalizations were shorter from September through December 2020, suggesting that hospital over-capacity may have resulted in earlier discharges and increased readmissions. Efforts to monitor and provide support for patients discharged in high bed-capacity situations may help avoid readmissions.

Consensus elements for observational research on COVID-19-related long-term outcomes.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its long-term outcomes may be jointly caused by a wide range of clinical, social, and economic characteristics. Studies aiming to identify mechanisms for SARS-CoV-2 morbidity and mortality must measure and account for these characteristics to arrive at unbiased, accurate conclusions. We sought to inform the design, measurement, and analysis of longitudinal studies of long-term outcomes among people infected with SARS-CoV-2. We fielded a survey to an interprofessional group of clinicians and scientists to identify factors associated with SARS-CoV-2 infection and subsequent outcomes. Using an iterative process, we refined the resulting list of factors into a consensus causal diagram relating infection and 12-month mortality. Finally, we operationalized concepts from the causal diagram into minimally sufficient adjustment sets using common medical record data elements. Total 31 investigators identified 49 potential risk factors for and 72 potential consequences of SARS-CoV-2 infection. Risk factors for infection with SARS-CoV-2 were grouped into five domains: demographics, physical health, mental health, personal social, and economic factors, and external social and economic factors. Consequences of coronavirus disease 2019 (COVID-19) were grouped into clinical consequences, social consequences, and economic consequences. Risk factors for SARS-CoV-2 infection were developed into a consensus directed acyclic graph for mortality that included two minimally sufficient adjustment sets. We present a collectively developed and iteratively refined list of data elements for observational research in SARS-CoV-2 infection and disease. By accounting for these elements, studies aimed at identifying causal pathways for long-term outcomes of SARS-CoV-2 infection can be made more informative.

Psychiatric disorders newly diagnosed among veterans subsequent to hospitalization for COVID-19.

OBJECTIVE: The goal of our study was to evaluate the development of new mental health diagnoses up to 6-months following COVID-19 hospitalization for in a large, national sample. METHOD: Data were extracted for all Veterans hospitalized at Veterans Health Administration hospitals for COVID-19 from March through August of 2020 utilizing national administrative data. After identifying the cohort, follow-up data were linked through six months post-hospitalization. Data were analyzed using logistic regression. RESULTS: Eight percent of patients developed a new mental health diagnosis following hospitalization. The most common new mental health diagnoses involved depressive, anxiety, and adjustment disorders. Younger and rural patients were more likely to develop new mental health diagnoses. Women and those with more comorbidities were less likely to develop new diagnoses. CONCLUSION: A subpopulation of patients hospitalized for COVID-19 developed new mental health diagnoses. Unique demographics predictors indicate the potential need for additional outreach and screening to groups at elevated risk of post-hospitalization, mental health sequelae.

Social relationship quality, depression and inflammation: A cross-cultural longitudinal study in the United States and Tokyo, Japan.

BACKGROUND: Depression is an illness with biological, psychological, and social underpinnings, which may include the interplay of inflammation, psychological traits, stress, social relationships, and cultural background. AIMS: This work examines the prospective associations between social relationship quality and depressive symptoms, and between social relationship quality and inflammatory outcomes in two distinct cultures. METHODS: Data were obtained from two longitudinal, prospective cohort studies: Midlife in the United States (MIDUS), and Midlife Development in Japan (MIDJA) between 2004 and 2010. One thousand three hundred and twenty-seven community-based adults were included in analyses, 1,054 from the United States and 273 from Tokyo, Japan. Depressive symptoms (measured by the CES-D Depression Scale) and inflammation (measured by blood sample concentrations of the inflammatory biomarkers interleukin-6 and C-reactive protein) were the outcomes. Social relationship quality was the predictor. Culture, trait independence and interdependence, and psychosocial stressors were examined as moderators of the link between social relationship quality and depressive symptoms. RESULTS: Higher social relationship quality was associated with lower depressive symptoms in the United States (ß = -6.15, p < .001), but not in Japan (ß = -1.25, p = .390). Social relationship quality had no association with inflammation. Psychosocial stressors moderated the link between social relationship quality and depressive symptoms in both the United States (ß = -0.39, p = .001) and Tokyo (ß = -0.55, p = .001), such that social relationship quality acted as a buffer against depressive symptoms as psychosocial stress increased. CONCLUSION: Improving the perceived quality of social relationships appears to be a stronger target for depression interventions in the United States than in Tokyo, Japan.

Integrating Interprofessional Trainees into a Complex Care Program for Veterans Experiencing Homelessness: Effects on Health Services Utilization.

PURPOSE: High-quality, comprehensive care of vulnerable populations requires interprofessional ambulatory care teams skilled in addressing complex social, medical, and psychological needs. Training health professionals in interprofessional settings is crucial for building a competent future workforce. The impacts on care utilization of adding continuity trainees to ambulatory teams serving vulnerable populations have not been described. We aim to understand how the addition of interprofessional trainees to an ambulatory clinic caring for Veterans experiencing homelessness impacts medical and mental health services utilization. METHODS: Trainees from five professions were incorporated into an interprofessional ambulatory clinic for Veterans experiencing homelessness starting in July 2016. We performed clinic-level interrupted time series (ITS) analyses of pre- and post-intervention utilization measures among patients enrolled in this training continuity clinic, compared to three similar VA homeless clinics without training programs from October 2015 to September 2018. RESULTS: Our sample consisted of 37,671 patient- months. There was no significant difference between the intervention and comparison groups' post-intervention slopes for numbers of primary care visits (difference in slopes =-0.16 visits/100 patients/month; 95% CI -0.40, 0.08; p=0.19), emergency department visits (difference in slopes = 0.08 visits/100 patients/month; 95% CI -0.16, 0.32; p=0.50), mental health visits (difference in slopes = -1.37 visits/month; 95% CI -2.95, 0.20; p= 0.09), and psychiatric hospitalizations (-0.005 admissions/100 patients/month; 95% CI -0.02, 0.01; p= 0.62). We found a clinically insignificant change in medical hospitalizations. CONCLUSIONS: Adding continuity trainees from five health professions to an interprofessional ambulatory clinic caring for Veterans experiencing homelessness did not adversely impact inpatient and outpatient care utilization. An organized team-based care approach is beneficial for vulnerable patients and provides a meaningful educational experience for interprofessional trainees by building health professionals' capabilities to care for vulnerable populations.

Veterans' Use of Veterans Health Administration Primary Care in an Era of Expanding Choice.

BACKGROUND: The Veterans Choice Program (VCP), aimed at improving access to care, included expanded options for Veterans to receive primary care through community providers. OBJECTIVES: The objective of this study was to characterize and compare Veterans use of Veterans Health Administration (VA) primary care services at VA facilities and through a VA community care network (VA-CCN) provider. RESEARCH DESIGN: This was a retrospective, observational over fiscal years (FY) 2015-2018. SUBJECTS: Veterans receiving primary care services paid for by the VA. MEASURES: Veteran demographic, socioeconomic and clinical factors and use of VA primary care services under the VCP each year. RESULTS: There were 6.3 million Veterans with >54 million VA primary care visits, predominantly (98.5% of visits) at VA facility. The proportion of VA-CCN visits increased in absolute terms from 0.7% in 2015 to 2.6% in 2018. Among Veterans with any VA-CCN primary care, the proportion of VA-CCN visits increased from 22.6% to 55.3%. Logistic regression indicated that Veterans who were female, lived in rural areas, had a driving distance >40 miles, had health insurance or had a psychiatric/depression condition were more likely to receive VA-CCN primary care. Veterans who were older, identified as Black race, required to pay VA copayments, or had a higher Nosos score, were less likely to receive VA-CCN primary care. CONCLUSION: As the VA transitions from the VCP to MISSION and VA facilities gain experience under the new contracts, attention to factors that impact Veterans' use of primary care services in different settings are important to monitor to identify access barriers and to ensure Veterans' health care needs are met.

Assessment of Suicidal Intent in Self-directed Violence and Subsequent Care Received Among Military Veterans: A National Study of Gender Differences.

BACKGROUND: The Veterans Health Administration's system for documenting self-directed violence (SDV) requires that clinicians make a determination of the suicidal intent of the behavior (ie, "undetermined" intent vs. "suicide attempt") which contributes to the enhanced care offered. Past studies suggest clinicians' judgment of suicide risk is impacted by patient demographics regardless of clinical presentation. As women are less likely to die by suicide than men, women's SDV may be taken less seriously; they may be more likely to have their SDV classified as "undetermined" than men, which may impact the care received. OBJECTIVES: This study examines whether women veterans' SDV is disproportionately classified as "undetermined" suicidal intent versus "suicide attempt" as compared with men veterans, and how one's classification and gender modifies the care received. RESEARCH DESIGN: This was an observational, retrospective study of data from Veterans Health Administration administrative databases. We included all veterans with documented nonfatal "undetermined" SDV events and "suicide attempts" between 2013 and 2018 (N=55,878). Objectives were evaluated using mixed-effects logistic regression models. RESULTS: Women veterans were disproportionately more likely than men veterans to have SDV classified as "undetermined" (odds ratio=1.17; 95% confidence interval, 1.08-1.27). Veterans who received an "undetermined" classification were significantly less likely to receive enhanced care. However, this relationship was not moderated by gender. CONCLUSIONS: Gender may impact clinicians' determinations of intent of SDV, but more research is needed on the extent of classification biases and to understand causes. Further, classification of intent is critical, as there is a strong relationship between classification and enhanced care.

Does Community Outsourcing Improve Timeliness of Care for Veterans With Obstructive Sleep Apnea?

BACKGROUND: Providing timely access to care has been a long-standing priority for the Veterans Affairs Healthcare System. Recent strategies to reduce long wait times have focused on purchasing community care by a fee-for-service model. Whether outsourcing Veterans Affairs (VA) specialty care to the community improves access is unclear. OBJECTIVES: We compared time from referral to treatment among Veterans whose care was provided by VA versus community care purchased by the VA, using obstructive sleep apnea as an example condition. METHODS: This was a retrospective cohort study of Northern California Veterans seeking sleep apnea care through the San Francisco VA Healthcare System between 2012 and 2018. We used multivariable linear regression with propensity score matching to investigate the relationship between time to care delivery and care setting (VA provided vs. VA-purchased community care). A total of 1347 Northern California Veterans who completed sleep apnea testing within the VA and 88 Veterans who completed sleep apnea testing in the community had complete data for analysis. RESULTS: Among Northern California Veterans with obstructive sleep apnea, outsourcing of care to the community was associated with longer time from referral to therapy (mean±SD, 129.6±82.8 d with VA care vs. 252.0±158.8 d with community care, P<0.001) and greater loss to follow-up. CONCLUSIONS: These findings suggest that purchasing community care may lead to care fragmentation and not improve wait times nor improve access to subspecialty care for Veterans.