Safety of Single High-Dose Liposomal Amphotericin B for Induction Treatment of Cryptococcal Meningitis and Histoplasmosis in People With HIV: A Systematic Review and Meta-analysis.

Background: Evidence for efficacy of single, high-dose liposomal amphotericin B (LAmB) in HIV-associated cryptococcal meningitis and histoplasmosis is growing. No systematic review has examined the safety of this regimen across multiple studies. Methods: We systematically searched Medline, Scopus, and the Cochrane Library from inception to April 2023 for studies reporting grade 3 and 4 adverse events (AEs) with single high-dose LAmB vs traditional amphotericin regimens for HIV-associated fungal infections. Results: Three trials (n = 946) were included. Compared with traditional regimens, single high-dose LAmB was associated with equivalent risk of grade 3 and 4 AEs (risk ratio [RR], 0.75; 95% CI, 0.53-1.06) and lower overall risk of grade 4 AEs (RR, 0.68; 95% CI, 0.55-0.86), grade 4 renal (RR, 0.43; 95% CI, 0.20-0.94) and grade 4 hematological AEs (RR, 0.46; 95% CI, 0.32-0.65). Conclusions: Single, high-dose LAmB is associated with a lower risk of life-threatening AEs compared with other World Health Organization-endorsed amphotericin B-based regimens in invasive HIV-related fungal infection.

An Analysis of Irregular Discharges From Residential Treatment Programs in the Department of Veterans Affairs Health Care System.

INTRODUCTION: Veteran populations are frequently diagnosed with mental health conditions such as substance use disorder and PTSD. These conditions are associated with adverse outcomes including a higher risk of suicide. The Veterans Health Administration (VHA) has designed a robust mental health system to address these concerns. Veterans can access mental health treatment in acute inpatient, residential, and outpatient settings. Residential programs play an important role in meeting the needs of veterans who need more structure and support. Residential specialty types in the VHA include general mental health, substance use disorder, PTSD, and homeless/work programs. These programs are affiliated with a DVA facility (i.e., medical center). Although residential care can improve outcomes, there is evidence that some patients are discharged from these settings before achieving the program endpoint. These unplanned discharges are referred to using language such as against medical advice, self-discharge, or irregular discharge. Concerningly, unplanned discharges are associated with patient harm including death by suicide. Although there is some initial evidence to locate factors that predict irregular discharge in VHA residential programs, no work has been done to examine features associated with irregular discharge in each residential specialty. METHODS: We conducted a retrospective cohort study of patients who were discharged from VHA residential treatment programs between January 2018 and September 2022. We included the following covariates: Principal diagnosis, gender, age, race/ethnicity, number of physical health conditions, number of mental health diagnostic categories, marital status, risk of homelessness, urbanicity, and service connection. We considered two discharge types: Regular and irregular. We used logistic regression to determine the odds of irregular discharge using models stratified by bed specialty as well as combined odds ratios and 95% CIs across program specialties. The primary purposes are to identify factors that predict irregular discharge and to determine if the factors are consistent across bed specialties. In a secondary analysis, we calculated facility-level adjusted rates of irregular discharge, limiting to facilities with at least 50 discharges. We identified the amount of residual variation that exists between facilities after adjusting for patient factors. RESULTS: A total of 279 residential programs (78,588 patients representing 124,632 discharges) were included in the analysis. Substance use disorder and homeless/work programs were the most common specialty types. Both in the overall and stratified analyses, the number of mental health diagnostic categories and younger age were predictors of irregular discharge. In the facility analysis, there was substantial variation in irregular discharge rates across residential specialties even after adjusting for all patient factors. For example, PTSD programs had a mean adjusted irregular discharge rate of 15.3% (SD: 7.4; range: 2.1-31.2; coefficient of variation: 48.4%). CONCLUSIONS: Irregular discharge is a key concern in VHA residential care. Patient characteristics do not account for all of the observed variation in rates across residential specialty types. There is a need to develop specialty-specific measures of irregular discharge to learn about system-level factors that contribute to irregular discharge. These data can inform strategies to avoid harms associated with irregular discharge.

Analysis of Reported Suicide Safety Events Among Veterans Who Received Treatment Through Department of Veterans Affairs-Contracted Community Care.

INTRODUCTION: Veteran patients have access to a broad range of health care services in the Veterans' Health Administration (VHA). There are concerns, however, that all Veteran patients may not have access to timely care. The Maintaining Internal Systems and Strengthening Integrated Outside Networks Act was passed in 2018 to ensure that eligible Veterans can receive timely, high-quality care. The Maintaining Internal Systems and Strengthening Integrated Outside Networks Act makes use of Department of Veterans Affairs (VA)-contracted care to achieve its goal. There are concerns, however, that these transitions of care may, in fact, place Veterans at a higher risk of poor health outcomes. This is a particular concern with regard to suicide prevention. No study has investigated suicide-related safety events in Veteran patients who receive care in VA-contracted community care settings. MATERIALS AND METHODS: A retrospective analysis of root-cause analysis (RCA) reports and patient safety reports of suicide-related safety events that involved VA-contracted community care was conducted. Events that were reported to the VHA National Center for Patient Safety between January 1, 2018, and June 30, 2022, were included. A coding book was developed to abstract relevant variables from each report, for example, report type and facility and patient characteristics. Root causes reported in RCAs were also coded, and the factors that contributed to the events were described in the patient safety reports. Two reviewers independently coded 10 cases, and we then calculated a kappa. Because the kappa was greater than 80% (i.e. 89.2%), one reviewer coded the remaining cases. RESULTS: Among 139 potentially eligible reports, 88 reports were identified that met the study inclusion criteria. Of these 88 reports, 62.5% were patient safety reports and 37.5% were RCA reports. There were 129 root causes of suicide-related safety events involving VA-contracted community care. Most root causes were because of health care-related processes. Reports cited concerns around challenges with communication and deficiencies in mental health treatment. A few reports also described concerns that community care providers were not available to engage in patient safety activities. Patient safety reports voiced similar concerns but also pointed to specific issues with the safety of the environment, for example, access to methods of strangulation in community care treatment settings in an emergency room or a rehabilitation unit. CONCLUSIONS: It is important to strengthen the systems of care across VHA- and VA-contracted community care settings to reduce the risk of suicide in Veteran patients. This includes developing standardized methods to improve the safety of the clinical environment as well as implementing robust methods to facilitate communication between VHA and community care providers. In addition, Veteran patients may benefit from quality and safety activities that capitalize on the collective knowledge of VHA- and VA-contracted community care organizations.

The efficacy and safety of buprenorphine for the treatment of depression: A systematic review and meta-analysis.

BACKGROUND: Depressive disorders are common. Many patients with major depression do not achieve remission with available treatments. Buprenorphine has been raised as a potential treatment for depression as well as suicidal behavior but may pose certain risks. METHODS: A meta-analysis comparing the efficacy, tolerability, and safety of buprenorphine (or combinations such as buprenorphine/samidorphan) versus control in improving symptoms in patients with depression. Medline, Cochrane Database, PsycINFO, Excerpta Medica Database and The Cumulative Index to Nursing and Allied Health Literature were searched from inception through January 2, 2022. Depressive symptoms were pooled using Hedge's g with 95% Confidence Intervals (CI). Tolerability, safety, suicide outcomes were summarized qualitatively. RESULTS: 11 studies (N = 1699) met inclusion criteria. Buprenorphine had a small effect on depressive symptoms (Hedges' g 0.17, 95%CI: 0.05-0.29). Results were driven by six trials of buprenorphine/samidorphan (N = 1,343, Hedges's g 0.17, 95%CI: 0.04-0.29). One study reported significant improvement in suicidal thoughts (Least Squares Mean Change: -7.1, 95%CI: -12.0 - 2.3). Most studies found buprenorphine was well-tolerated with no evidence of abuse behavior or dependency. CONCLUSIONS: Buprenorphine may have a small benefit for depressive symptoms. Future research should clarify the dose response relationship between buprenorphine and depression.

Are suicide risk scales sensitive to change? A scoping review.

INTRODUCTION: Clinician- or self-administered scales are frequently used to assist in detecting risk of death by suicide and to determine the effectiveness of interventions. No recent review studies have examined whether these scales are sensitive to change. We conducted a scoping review to identify suicide risk scales that are sensitive to change. MATERIAL AND METHODS: We searched Medline and Excerpta Medica Database from inception through March 17, 2022, to identify randomized trials, pooled analysis, quasi-experimental studies, and cohort studies reporting on sensitivity to change of suicide risk scales. We assessed sensitivity to change by examining internal and external responsiveness. Internal responsiveness evaluates whether the scale measures changes in suicide-related symptoms in response to an intervention while external responsiveness assess whether changes in the scale correspond to changes in risk of suicide. We summarized findings across studies using descriptive analysis. RESULTS: Among 38 eligible scales, we identified 27 scales that included items that were modifiable to change. However, only 7 scales had been studied to determine their sensitivity to change based on internal or external responsiveness. While the results of studies suggested that 6 scales have internal responsiveness, none of the included studies confirmed that scales have external responsiveness. DISCUSSION: A few suicide risk scales are internally responsive and may be useful in a clinical or research setting. It is unclear, however, whether changes in scores correspond to an actual change in suicide risk. Future research should confirm the external responsiveness of scales using robust metrics including suicide mortality.

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

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Tools to Detect Risk of Death by Suicide: A Systematic Review and Meta-Analysis.

Objective: There is limited knowledge about the ability of instruments to detect risk of suicide in a range of settings. Prior reviews have not considered whether the utility of instruments depends on prior probability of risk. We performed a systematic review to determine the diagnostic accuracy of instruments to detect risk of suicide in adults using likelihood ratio analysis. This method aids evaluation of prior probabilities of risk.Data Sources: We searched MEDLINE, Cochrane Database of Systematic Reviews, PsycINFO, EMBASE, and Scopus from inception through January 19, 2021.Study Selection: We included clinical trials, observational studies, and quasi-experimental studies assessing the diagnostic accuracy of instruments to detect risk of suicide in adults. There were no language restrictions.Data Extraction: Three reviewers in duplicate assessed full texts to determine eligibility and extracted data from included studies. Positive (LR+) and negative likelihood ratio (LR-) and 95% CIs were calculated for each instrument.Results: Thirty studies met inclusion criteria. Most instruments showed minimal utility to detect or rule out risk of suicide, with LR+ ≤ 2.0 and LR- ≥ 0.5. A few instruments had a high utility for improving risk detection in emergency department, inpatient mental health, and prison settings when patients scored above the cutoff (LR+ > 10). For example, among patients discharged from an emergency department, the Columbia Suicide Severity Rating Scale-Clinical Practice Screener had a LR+ of 10.3 (95% CI, 6.3-16.8) at 3-month follow-up. The clinical utility of the instruments depends on the pretest probability of suicide in the setting. Because studies spanned over 6 decades, the findings are at risk for secular trends.Discussion: We identified several instruments that may hold promise for detecting risk of suicide in emergency department, inpatient mental health, or prison settings. The utility of the instrument hinges, in part, on baseline suicide risk.Registration: PROSPERO: CRD42021285528.

Lithium in the prevention of suicide in adults: systematic review and meta-analysis of clinical trials.

Controversy exists regarding the efficacy of lithium for suicide prevention. Except for a recent trial that enrolled over 500 patients, available trials of lithium for suicide prevention have involved small samples. It is challenging to measure suicide in a single randomised controlled trial (RCT). Adding a single large study to existing meta-analyses may provide insights into lithium's anti-suicidal effects. We performed a meta-analysis of RCTs comparing lithium with a control condition for suicide prevention. MEDLINE and other databases were searched up to 30 November 2021. Efficacy was assessed by calculating the summary Peto odds ratio (OR) and incidence rate ratio (IRR) with 95% confidence intervals. Among seven RCTs, the odds of suicide were lower among patients receiving lithium versus control (OR = 0.30, 95% CI 0.09-1.02; IRR = 0.22, 95% CI 0.05-1.05), although the findings were still not statistically significant. The role of lithium in suicide prevention remains uncertain.

National cross-sectional cohort study of the relationship between quality of mental healthcare and death by suicide.

BACKGROUND: Patient safety-based interventions aimed at lethal means restriction are effective at reducing death by suicide in inpatient mental health settings but are more challenging in the outpatient arena. As an alternative approach, we examined the association between quality of mental healthcare and suicide in a national healthcare system. METHODS: We calculated regional suicide rates for Department of Veterans Affairs (VA) Healthcare users from 2013 to 2017. To control for underlying variation in suicide risk in each of our 115 mental health referral regions (MHRRs), we calculated standardised rate ratios (SRRs) for VA users compared with the general population. We calculated quality metrics for outpatient mental healthcare in each MHRR using individual metrics as well as an Overall Quality Index. We assessed the correlation between quality metrics and suicide rates. RESULTS: Among the 115 VA MHRRs, the age-adjusted, sex-adjusted and race-adjusted annual suicide rates varied from 6.8 to 92.9 per 100 000 VA users, and the SRRs varied between 0.7 and 5.7. Mean regional-level adherence to each of our quality metrics ranged from a low of 7.7% for subspecialty care access to a high of 58.9% for care transitions. While there was substantial regional variation in quality, there was no correlation between an overall index of mental healthcare quality and SRR. CONCLUSION: There was no correlation between overall quality of outpatient mental healthcare and rates of suicide in a national healthcare system. Although it is possible that quality was not high enough anywhere to prevent suicide at the population level or that we were unable to adequately measure quality, this examination of core mental health services in a well-resourced system raises doubts that a quality-based approach alone can lower population-level suicide rates.

Spreading a Strategy to Prevent Suicide After Psychiatric Hospitalization: Results of a Quality Improvement Spread Initiative.

BACKGROUND: Suicide after psychiatric hospitalization is a major concern. Poor treatment engagement may contribute to risk. The World Health Organization Brief Intervention and Contact (BIC) Program is an evidence-based practice shown to prevent suicide after psychiatric discharge in international trials. There have been no efforts to implement BIC into routine practice in US populations. METHODS: The authors conducted a 12-month quality improvement (QI) collaborative at six US Department of Veterans Affairs (VA) medical centers serving a large rural population. Sites had low to moderate performance on a VA quality measure of mental health postdischarge care; a measure assessing the proportion of discharged patients who achieve the required number of visits ≤ 30 days. Sites received programmatic support to implement BIC locally. Implementation was assessed using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. RESULTS: Overall, teams had high participation in programmatic activities and enrolled 85% of eligible patients that they approached. Among 70 enrolled patients, 81.4% achieved the VA quality measure of mental health postdischarge care, suggesting good treatment engagement. On average, patients rated BIC as excellent. Team members agreed that BIC was easy to use, implementable, possible, and doable. Factors facilitating implementation included standardized operating procedures to standardize processes. Barriers included insufficient staffing and loss to follow-up. Most sites plan to continue to enroll patients and to expand BIC to other areas. CONCLUSION: A QI collaborative can facilitate implementation of BIC in six VA facilities that provide inpatient psychiatric treatment. BIC may appeal to patients and providers and may improve treatment engagement.

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

OBJECTIVE: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: Treatment with MOUD was associated with a substantial reduction in suicide mortality as well external causes of mortality and all-cause mortality.

A virtual, pilot randomized trial of a brief intervention to prevent suicide in an integrated healthcare setting.

OBJECTIVE: Patients who die by suicide are often seen in primary care settings in the weeks leading to their death. There has been little study of brief interventions to prevent suicide in these settings. METHOD: We conducted a virtual, pilot, randomized controlled trial of a brief suicide prevention strategy called Veterans Affairs Brief Intervention and Contact Program (VA BIC) in patients who presented to a primary care mental health walk-in clinic for a new mental health intake appointment and were at risk for suicide. Our primary aim was to assess feasibility. We measured our ability to recruit 20 patients. We measured the proportion of enrolled patients who completed all study assessments. We assessed adherence among patients assigned to VA BIC. RESULTS: Twenty patients were enrolled and 95% (N = 19) completed all study assessments. Among the 10 patients assigned to VA BIC, 90% (N = 9) of patients completed all required intervention visits, and 100% (N = 10) completed ≥70% of the required interventions visits. CONCLUSION: It is feasible to conduct a virtual trial of VA BIC in an integrated care setting. Future research should clarify the role of VA BIC as a suicide prevention strategy in integrated care settings using an adequately powered design. CLINICAL TRIAL REGISTRATION: NCT04054947.

Is It Time for the Mental Health Field to Consider Unplanned Discharge a Key Metric of Patient Safety?

ABSTRACT: Mental health lacks robust measures to assess patient safety. Unplanned discharge is common in mental health populations and associated with poor outcomes. Clarifying whether unplanned discharge varies across settings may highlight the need to develop measures to reduce harms associated with this event. Unplanned discharge rates were compared across the Department of Veterans Affairs' acute inpatient and residential mental health treatment settings from 2009 to 2019. Logistic regression was used to create facility-level, adjusted unplanned discharge rates stratified by setting. Results were described using central tendency. Among 847,661 acute inpatient discharges, the mean unplanned discharge rate was 3.3% (range, 0%-18%). Among 358,117 residential discharges, the mean unplanned discharge rate was 17.9% (range, 1%-48.3%). Unplanned discharge is a marked problem in mental health, with large variation across treatment settings. Unplanned discharge should be measured as part of patient safety efforts.

The Effect of Meteorological, Pollution, and Geographic Exposures on Death by Suicide: A Scoping Review.

Suicide is a significant public health concern worldwide and in the United States. Despite the far-reaching impact of suicide, risk factors are still not well understood and efforts to accurately assess risk have fallen short. Current research has highlighted how potentially modifiable environmental exposures (i.e., meteorological, pollution, and geographic exposures) can affect suicide risk. A scoping review was conducted to evaluate the strength of the historical and current literature on the environment's effect on suicide and suicide risk. Three databases (i.e., Medline, Embase, and PsychInfo) were reviewed to identify relevant studies and two authors independently reviewed studies considering pre-determined inclusion criteria. A total of 46 meteorological studies were included as well as 23 pollution studies and 12 geographic studies. Descriptive statistics, including counts, percentages, review of studies' sample size (minimum, maximum, median, and interquartile range), were calculated using Excel and SAS 9.4. Overall, strong evidence supports that exposure to sunlight, temperature, air pollution, pesticides, and high altitude increases suicide risk, although effect sizes range from very small to small.

Irregular hospital discharge from acute inpatient and residential mental health treatment settings in a large integrated healthcare system.

OBJECTIVE: Irregular discharge is a concern among mental health populations and associated with poor outcomes. Little is known about the relationship between irregular discharge and treatment setting. Because care processes differ between acute inpatient and residential settings, it is important to evaluate irregular discharge in these settings. METHOD: A retrospective study was conducted in patients with mental health conditions admitted to acute inpatient or residential mental health settings in the Department of Veterans Affairs, 2003-2019. Logistic regression and multivariate Cox proportional hazards were used to evaluate factors associated with irregular discharge risk in the first 90- days of admission. RESULTS: Among 1.8 million discharges, 7.4% had an irregular discharge within 90- days of admission. Younger age was a central predictor of risk. Irregular discharge rates were four-fold higher in residential versus acute settings. When accounting for length of stay (LOS) across settings, there was a modest higher risk of irregular discharge from acute versus residential settings (HR = 1.06, 95% Confidence Interval 1.04-1.07). CONCLUSIONS: Patients are at high risk for irregular discharge from acute and residential settings when they are young. LOS is an important determinant of irregular discharge risk.. Interventions are needed to address drivers of irregular discharge.

A Pilot Randomized Trial of a Brief Intervention to Prevent Suicide After Inpatient Psychiatric Discharge.

OBJECTIVE: Risk for suicide is high after psychiatric hospitalization. The World Health Organization's Brief Intervention and Contact (BIC) program has shown efficacy in preventing suicide. A version adapted for the U.S. Department of Veterans Affairs (VA) was studied to determine preliminary effects. METHODS: Patients receiving psychiatric hospitalization because of acute risk for self-harm were randomly assigned to the VA BIC or standard care alone. Effect sizes (Hedges' g) for suicidal ideation (primary outcome), social connectedness (measured as thwarted belongingness and perceived burdensomeness), hopelessness, and engagement were calculated at 1 and 3 months. RESULTS: Patients were randomly assigned to the VA BIC (N=10) or standard care (N=9). The VA BIC had a medium or large effect on most measures at 1 month (suicidal ideation, g=0.45). Effects diminished at 3 months, except for thwarted belongingness (g=0.81). CONCLUSIONS: The VA BIC had meaningful effects on suicide-related outcomes. The largest effect was seen in the first month.

Small Area Analysis of Veterans Affairs Mental Health Services Data.

OBJECTIVE: To identify geographic variation in mental health service use in the Department of Veterans Affairs (VA), the authors constructed utilization-based VA mental health service areas (MHSAs) for outpatient treatment and mental health referral regions (MHRRs) for residential and acute inpatient treatment. METHODS: MHSAs are empirically derived geographic groupings of one or more counties containing one or more VA outpatient mental health clinics. For each county within an MHSA, patients received most of their VA-provided outpatient mental health care within that MHSA. MHSAs were aggregated into MHRRs according to where VA users in each MHSA received most of their residential and acute inpatient mental health care. Attribution loyalty was evaluated with the localization index-the fraction of VA users living in each geographic area who used their designated MHSA and MHRR facility. Variation in outpatient mental health visits and in acute inpatient and residential mental health stays was determined for the 2008-2018 period. RESULTS: A total of 441 MHSAs were aggregated to 115 MHRRs (representing 3,909,080 patients with 52,372,303 outpatient mental health visits). The mean±SD localization index was 59.3%±16.4% for MHSAs and 67.8%±12.7% for MHRRs. Adjusted outpatient mental health visits varied from a mean of 0.88 per year in the lowest quintile of MHSAs to 3.14 in the highest. Combined residential and acute inpatient days varied from 0.29 to 1.79 between the lowest and highest quintiles. CONCLUSIONS: MHSAs and MHRRs validly represented mental health utilization patterns in the VA and displayed considerable variation in mental health service provision across different locations.

Longitudinal Examination of COVID-19 Public Health Measures on Mental Health for Rural Patients With Serious Mental Illness.

INTRODUCTION: There is emerging evidence to support that the COVID-19 pandemic and related public health measures may be associated with negative mental health sequelae. Rural populations in particular may fair worse because they share many unique characteristics that may put them at higher risk for adverse outcomes with the pandemic. Yet, rural populations may also be more resilient due to increased sense of community. Little is known about the impact of the pandemic on the mental health and well-being of a rural population pre- and post-pandemic, especially those with serious mental illness. MATERIAL AND METHODS: We conducted a longitudinal, mixed-methods study with assessments preceding the pandemic (between October 2019 and March 2020) and during the stay-at-home orders (between April 23, 2020, and May 4, 2020). Changes in hopelessness, suicidal ideation, connectedness, and treatment engagement were assessed using a repeated-measures ANOVA or Friedman test. RESULTS: Among 17 eligible participants, 11 people were interviewed. Overall, there were no notable changes in any symptom scale in the first 3-5 months before the pandemic or during the stay-at-home orders. The few patients who reported worse symptoms were significantly older (mean age: 71.7 years, SD: 4.0). Most patients denied disruptions to treatment, and some perceived telepsychiatry as beneficial. CONCLUSIONS: Rural patients with serious mental illness may be fairly resilient in the face of the COVID-19 pandemic when they have access to treatment and supports. Longer-term outcomes are needed in rural patients with serious mental illness to better understand the impact of the pandemic on this population.