Effect of a Predictive Analytics-Targeted Program in Patients on Opioids: a Stepped-Wedge Cluster Randomized Controlled Trial.

BACKGROUND: Risk of overdose, suicide, and other adverse outcomes are elevated among sub-populations prescribed opioid analgesics. To address this, the Veterans Health Administration (VHA) developed the Stratification Tool for Opioid Risk Mitigation (STORM)-a provider-facing dashboard that utilizes predictive analytics to stratify patients prescribed opioids based on risk for overdose/suicide. OBJECTIVE: To evaluate the impact of the case review mandate on serious adverse events (SAEs) and all-cause mortality among high-risk Veterans. DESIGN: A 23-month stepped-wedge cluster randomized controlled trial in all 140 VHA medical centers between 2018 and 2020. PARTICIPANTS: A total of 44,042 patients actively prescribed opioid analgesics with high STORM risk scores (i.e., percentiles 1% to 5%) for an overdose or suicide-related event. INTERVENTION: A mandate requiring providers to perform case reviews on opioid analgesic-prescribed patients at high risk of overdose/suicide. MAIN MEASURES: Nine serious adverse events (SAEs), case review completion, number of risk mitigation strategies, and all-cause mortality. KEY RESULTS: Mandated review inclusion was associated with a significant decrease in all-cause mortality within 4 months of inclusion (OR: 0.78; 95% CI: 0.65-0.94). There was no detectable effect on SAEs. Stepped-wedge analyses found that mandated review patients were five times more likely to receive a case review than non-mandated patients with similar risk (OR: 5.1; 95% CI: 3.64-7.23) and received more risk mitigation strategies than non-mandated patients (0.498; CI: 0.39-0.61). CONCLUSIONS: Among VHA patients prescribed opioid analgesics, identifying high risk patients and mandating they receive an interdisciplinary case review was associated with a decrease in all-cause mortality. Results suggest that providers can leverage predictive analytic-targeted population health approaches and interdisciplinary collaboration to improve patient outcomes. TRIAL REGISTRATION: ISRCTN16012111.

A genome-wide association study of suicide attempts in the million veterans program identifies evidence of pan-ancestry and ancestry-specific risk loci.

To identify pan-ancestry and ancestry-specific loci associated with attempting suicide among veterans, we conducted a genome-wide association study (GWAS) of suicide attempts within a large, multi-ancestry cohort of U.S. veterans enrolled in the Million Veterans Program (MVP). Cases were defined as veterans with a documented history of suicide attempts in the electronic health record (EHR; N = 14,089) and controls were defined as veterans with no documented history of suicidal thoughts or behaviors in the EHR (N = 395,064). GWAS was performed separately in each ancestry group, controlling for sex, age and genetic substructure. Pan-ancestry risk loci were identified through meta-analysis and included two genome-wide significant loci on chromosomes 20 (p = 3.64 × 10-9) and 1 (p = 3.69 × 10-8). A strong pan-ancestry signal at the Dopamine Receptor D2 locus (p = 1.77 × 10-7) was also identified and subsequently replicated in a large, independent international civilian cohort (p = 7.97 × 10-4). Additionally, ancestry-specific genome-wide significant loci were also detected in African-Americans, European-Americans, Asian-Americans, and Hispanic-Americans. Pathway analyses suggested over-representation of many biological pathways with high clinical significance, including oxytocin signaling, glutamatergic synapse, cortisol synthesis and secretion, dopaminergic synapse, and circadian rhythm. These findings confirm that the genetic architecture underlying suicide attempt risk is complex and includes both pan-ancestry and ancestry-specific risk loci. Moreover, pathway analyses suggested many commonly impacted biological pathways that could inform development of improved therapeutics for suicide prevention.

Impact of Mandated Case Review Policy on Opioid Discontinuation and Mortality Among High-Risk Long-Term Opioid Therapy Patients: The STORM Stepped-Wedge Cluster Randomized Controlled Trial.

BACKGROUND: Although long-term opioid therapy (LTOT) has its own risks, opioid discontinuation could pose harm for high-risk Veterans Health Administration (VHA) patients receiving LTOT. There is limited information on the impact of a mandate requiring providers to perform case reviews on high-risk patients with an active opioid prescription (ie, mandated case review policy) on opioid discontinuation and mortality. METHODS: Our study is a secondary data analysis of a 23-month stepped-wedge cluster randomized controlled trial between April 2018 and March 2020. The study included 10 685 LTOT patients with a predicted risk of a serious adverse event between the top 1% to 5% nationally who entered the risk range between 4/18/2018 and 11/9/2019. We examined whether the mandated case review policy had an impact on opioid discontinuation and mortality for the patients. RESULTS: Among 10 685 LTOT patients (88.2% male; mean [SD] age, 61.1 [11.7] years), 29.1% experienced discontinuation and the mortality rate was 9.5%. Patients under mandated case review had a decreased risk of opioid discontinuation (average marginal effect [AME], -11.16 [95% CI, -15.30 to -7.01] percentage points) and all-cause mortality (AME, -3.31 [95% CI, -5.63 to -1.00] percentage points), relative to patients who were not under the mandate. CONCLUSIONS: The VHA mandated case review policy was associated with lower probability of discontinuation and all-cause mortality for high-risk patients receiving LTOT. Interventions that maintain care engagement while optimizing pain management for high-risk patients may be beneficial for minimizing mortality and other risks associated with discontinuation.

Randomized Policy Evaluation of the Veterans Health Administration Stratification Tool for Opioid Risk Mitigation (STORM).

BACKGROUND: The Veterans Health Administration (VHA) developed a dashboard Stratification Tool for Opioid Risk Mitigation (STROM) to guide clinical practice interventions. VHA released a policy mandating that high-risk patients of an adverse event based on the STORM dashboard are to be reviewed by an interdisciplinary team of clinicians. AIM: Randomized program evaluation to evaluate if patients in the oversight arm had a lower risk of opioid-related serious adverse events (SAEs) or death compared to those in the non-oversight arm. SETTING AND PARTICIPANTS: One-hundred and forty VHA facilities (aka medical centers) were randomly assigned to two groups: oversight and non-oversight arms. VHA patients who were prescribed opioids between April 18, 2018, and November 8, 2019, were included in the cohort. PROGRAM DESCRIPTION: We hypothesized that patients cared for by VHA facilities that received the policy with the oversight accountability language would achieve lower opioid-related SAEs or death. PROGRAM EVALUATION: We did not observe a relationship between the oversight arm and opioid-related SAEs or death. Patients in the non-oversight arm had a significantly higher chance of receiving a case review compared to those in the oversight arm. DISCUSSION: Even though our findings were unexpected, the STORM policy overall was likely successful in focusing the provider's attention on very high-risk patients.

Randomized program evaluation of the Veterans Health Administration Stratification Tool for Opioid Risk Mitigation (STORM): A research and clinical operations partnership to examine effectiveness.

The United States is facing an opioid crisis in which overdose is the leading cause of injury death-misuse of opioids constitutes the vast majority of those deaths. In 2016 alone, over 42,000 people died from opioid overdose, an increase of 27% from the prior year. Deployment of the Stratification Tool for Opioid Risk Mitigation (STORM), a clinical decision support tool to improve opioid safety, is one response by the Veterans Health Administration (VHA) to the opioid crisis. STORM identifies VHA patients at very high risk of opioid-related adverse events and lists potential risk mitigation strategies. Deployment of STORM also helps VHA meet certain requirements of the Comprehensive Addiction and Recovery Act of 2016. In alignment with the VHA's learning health care system initiative, a multidisciplinary team designed a randomized evaluation of a policy approach to mandating case reviews of very-high-risk patients identified by STORM and the impacts of patient inclusion versus exclusion in mandated STORM case reviews using a stepped-wedge design. The STORM evaluation involves drafting the policy notice, shepherding it through the VHA approval process, and implementing the cluster randomized design. This mixed-methods evaluation includes (1) a qualitative assessment of medical center implementation strategies with the aim of understanding of how STORM is incorporated into practice, and (2) quantitative analyses of the relations between policy mandates and STORM inclusion on opioid-related adverse events. The findings from this synergistic research design will yield critical insights for VHA leadership to refine opioid prescribing-related policy and practice.

Opioid overdose education and naloxone distribution: Development of the Veterans Health Administration's national program.

OBJECTIVES: To prevent opioid-related mortality, the Veterans Health Administration (VHA) developed a national Opioid Overdose Education and Naloxone Distribution (OEND) program. SETTING: VHA's OEND program sought national implementation of OEND across all medical facilities (n = 142). PRACTICE DESCRIPTION: This paper describes VHA's efforts to facilitate nationwide health care system-based OEND implementation, including the critical roles of VHA's national pharmacy services and academic detailing services. PRACTICE INNOVATION: VHA is the first large health care system in the United States to implement OEND nationwide. Launching the national program required VHA to translate a primarily community-based public health approach to OEND into a health care system-based approach that distributed naloxone to patients with opioid use disorders as well as to patients prescribed opioid analgesics. Key innovations included developing steps to implement OEND, pharmacy developing standard naloxone rescue kits, adding those kits to the VHA National Formulary, centralizing kit distribution, developing clinical guidance for issuing naloxone kits, and supporting OEND as a focal campaign of academic detailing. Other innovations included the development of patient and provider education resources (e.g., brochures, videos, accredited training) and implementation and evaluation resources (e.g., technical assistance, clinical decision support tools). EVALUATION: Clinical decision support tools that leverage VHA national data are available to clinical staff with appropriate permissions. These tools allow staff and leaders to evaluate OEND implementation and provide actionable next steps to help them identify patients who could benefit from OEND. RESULTS: Through fiscal year 2016, VHA dispensed 45,178 naloxone prescriptions written by 5693 prescribers to 39,328 patients who were primarily prescribed opioids or had opioid use disorder. As of February 2, 2016, there were 172 spontaneously reported opioid overdose reversals with the use of VHA naloxone prescriptions. CONCLUSION: VHA has successfully translated community-based OEND into health care system-based OEND targeting 2 patient populations. There is a tremendous amount that can be learned from VHA's experience implementing this novel health care innovation nationwide.

Participatory System Dynamics Modeling: Increasing Stakeholder Engagement and Precision to Improve Implementation Planning in Systems.

Implementation planning typically incorporates stakeholder input. Quality improvement efforts provide data-based feedback regarding progress. Participatory system dynamics modeling (PSD) triangulates stakeholder expertise, data and simulation of implementation plans prior to attempting change. Frontline staff in one VA outpatient mental health system used PSD to examine policy and procedural "mechanisms" they believe underlie local capacity to implement evidence-based psychotherapies (EBPs) for PTSD and depression. We piloted the PSD process, simulating implementation plans to improve EBP reach. Findings indicate PSD is a feasible, useful strategy for building stakeholder consensus, and may save time and effort as compared to trial-and-error EBP implementation planning.

Association of Care Practices with Suicide Attempts in US Veterans Prescribed Opioid Medications for Chronic Pain Management.

IMPORTANCE: Patients receiving opioid therapy are at elevated risk of attempting suicide. Guidelines recommend practices to mitigate risk, but it is not known whether these are effective. OBJECTIVE: Our aim was to examine associations between the receipt of guideline-recommended care for opioid therapy and risk of suicide attempt. DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective analysis of administrative data for all Veteran patients prescribed any short-acting opioids on a chronic basis or any long-acting opioids from the Veterans Health Administration during fiscal year 2010. MAIN OUTCOMES AND MEASURES: Multivariate, mixed-effects logistic regression analyses were conducted to define the associations between the risk of suicide attempt and receipt of guideline-recommended care at the individual level and rates of use of recommended care at the facility level, while accounting for patient risk factors. RESULTS: At the individual level, having a mood disorder was highly associated with suicide attempts (odds ratios [ORs] = 3.5, 3.9; 95% confidence intervals [CIs] = 3.3-3.9, 3.3-4.6 for chronic short-acting and long-acting groups, respectively). At the facility level, patients on opioid therapy within the facilities ordering more drug screens were associated with decreased risk of suicide attempt (ORs = 0.2, 0.3; CIs = 0.1-0.3, 0.2-0.6 for chronic short-acting and long-acting groups, respectively). In addition, patients on long-acting opioid therapy within the facilities providing more follow-up after new prescriptions were associated with decreased risk of suicide attempt (OR = 0.2, CI = 0.0-0.7), and patients on long-acting opioid therapy within the facilities having higher sedative co-prescription rates were associated with increased risk of suicide attempt (OR = 20.3, CI = 1.1-382.2). CONCLUSIONS AND RELEVANCE: Encouraging facilities to make more consistent use of drug screening, provide follow-up within 4 weeks for patients initiating new opioid prescriptions, and avoid sedative co-prescription in combination with long-acting opioids may help prevent suicide attempts. Some clinicians may selectively employ guideline-recommended practices with at-risk patients.

Sex differences in chronic pain management practices for patients receiving opioids from the Veterans Health Administration.

BACKGROUND: Women experience chronic pain and use pain-related health care at higher rates than men. It is not known whether the pain-related health care female veterans receive is consistent with clinical practice guideline recommendations or whether receipt of this care differs between men and women. OBJECTIVE: The aim of this study was to identify whether sex differences in chronic pain management care exist for patients served by the Veterans Health Administration (VHA). DESIGN: Data on patient demographics, diagnostic criteria, and health care utilization were extracted from VHA administrative databases for fiscal year 2010 (FY10). PATIENTS: Patients in this study included all VHA patients (excluding metastatic cancer patients) who received more than 90 days of a short-acting opioid medication or a long-acting opioid medication prescription in FY10 study. MEASURES: Multilevel logistic regressions were conducted to identify sex differences in receipt of guideline-recommended chronic pain management. RESULTS: A total of 480,809 patients met inclusion criteria. Female patients were more likely to receive most measures of guideline-recommended care for chronic pain including mental health assessments, psychotherapy, rehabilitation therapy, and pharmacy reconciliation. However, women were more likely to receive concurrent sedative prescriptions, which is inconsistent with guideline recommendations. Most of the observed sex differences persisted after controlling for key demographic and diagnostic differences. CONCLUSIONS: Findings suggest that female VHA patients are more likely to receive an array of pain management practices than male patients, including both contraindicated and recommended polypharmacy. Quality improvement efforts to address underutilization of mental health and rehabilitative services for pain by male patients and polypharmacy in female patients should be considered.

Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs.

BACKGROUND: In fiscal year (FY) 2008, 133,658 patients were provided services within substance use disorders treatment programs (SUDTPs) in the U.S. Department of Veterans Affairs (VA) health care system. To improve the effectiveness and cost-effectiveness of SUDTPs, we analyze the impacts of staffing mix on the benefits and costs of specialty SUD services. This study demonstrates how cost-effective staffing mixes for each type of VA SUDTPs can be defined empirically. METHODS: We used a stepwise method to derive prediction functions for benefits and costs based on patients' treatment outcomes at VA SUDTPs nationally from 2001 to 2003, and used them to formulate optimization problems to determine recommended staffing mixes that maximize net benefits per patient for four types of SUDTPs by using the solver function with the Generalized Reduced Gradient algorithm in Microsoft Excel 2010 while conforming to limits of current practice. We conducted sensitivity analyses by varying the baseline severity of addiction problems between lower (2.5 %) and higher (97.5 %) values derived from bootstrapping. RESULTS AND CONCLUSIONS: Compared to the actual staffing mixes in FY01-FY03, the recommended staffing mixes would lower treatment costs while improving patients' outcomes, and improved net benefits are estimated from $1472 to $17,743 per patient.

The impact of posttraumatic stress disorder on cannabis quit success.

BACKGROUND: Though a growing number of US Veterans are being diagnosed with cannabis use disorders, with posttraumatic stress disorder (PTSD) observed as the most frequently co-occurring psychiatric disorder among this population, no research has investigated the impact of PTSD diagnosis on cannabis quit success. OBJECTIVES: The present study sought to determine the impact of PTSD on cannabis use following a self-guided quit attempt. METHODS: Participants included 104, primarily male, cannabis-dependent US Veterans (Mage = 50.90 years, SDage = 9.90). The study design was prospective and included an assessment immediately prior to the quit attempt, and assessments weekly for the first 4 weeks post-quit, and then monthly through 6 months post-quit. RESULTS: Results indicated that PTSD diagnosis was not associated with time to first lapse or relapse. However, individuals with PTSD used more cannabis at baseline and evidenced a slower initial decline in cannabis use immediately following the quit attempt. All findings were significant after accounting for alcohol and tobacco use across the cessation period, as well as co-occurring mood and anxiety disorder diagnoses. CONCLUSION: Findings highlight the potential utility of interventions for individuals with cannabis use disorder and co-occurring PTSD, particularly early in a cessation attempt.

Problematic alcohol use among individuals with HIV: relations with everyday memory functioning and HIV symptom severity.

Problematic alcohol use has been shown to negatively impact cognitive functions germane to achieving optimal HIV health outcomes. The present study, a secondary data analysis, examined the impact of problematic alcohol use on aspects of everyday memory functioning in a sample of 172 HIV-infected individuals (22 % female; Mage = 48.37 years, SD = 8.64; 39 % Black/non-Hispanic). Additionally, we tested whether self-reported memory functioning explained the relation between problematic alcohol use and HIV symptom severity. Results indicated that problematic patterns of alcohol use were associated with lower total memory functioning, retrieval (e.g., recall-difficulty) and memory for activity (e.g., what you did yesterday) and greater HIV symptom severity. Memory functioning mediated the relation between problematic alcohol use and HIV symptom severity. However, the direction of this relation was unclear as HIV symptom severity also mediated the relation between problematic alcohol use and memory functioning. Findings highlight the importance of integrated care for HIV and alcohol use disorders and suggest that routine alcohol and cognitive screenings may bolster health outcomes among this vulnerable population.

Cannabis use and HIV antiretroviral therapy adherence and HIV-related symptoms.

Occasional cannabis use has been associated with increased antiretroviral therapy (ART) adherence and relief of HIV symptoms, while heavy use has been associated with low ART adherence and negative psychological symptoms. The purpose of the present study was to investigate differences between non-cannabis use (NC), non-dependent cannabis use (C), and dependent use (CD) in terms of ART adherence and HIV symptoms/ART side effects. A cross-sectional sample of 180 HIV+ individuals (78.3 % male) completed measures of substance use and psychopathology, medication adherence, and HIV symptoms/ART side effects. Adherence was also measured via pill count, viral load, and CD4 count. Results indicated that the CD group reported lower adherence and greater HIV symptoms/ART side effects than the other two groups, with no differences observed between NC and C groups. There is a clinical need to address dependent cannabis use among those prescribed ART. Further examination is needed to ascertain the functions of cannabis use among individuals with HIV.

Deploying a national clinical text processing infrastructure.

OBJECTIVES: Clinical text processing offers a promising avenue for improving multiple aspects of healthcare, though operational deployment remains a substantial challenge. This case report details the implementation of a national clinical text processing infrastructure within the Department of Veterans Affairs (VA). METHODS: Two foundational use cases, cancer case management and suicide and overdose prevention, illustrate how text processing can be practically implemented at scale for diverse clinical applications using shared services. RESULTS: Insights from these use cases underline both commonalities and differences, providing a replicable model for future text processing applications. CONCLUSIONS: This project enables more efficient initiation, testing, and future deployment of text processing models, streamlining the integration of these use cases into healthcare operations. This project implementation is in a large integrated health delivery system in the United States, but we expect the lessons learned to be relevant to any health system, including smaller local and regional health systems in the United States.

Impact of Implementation Facilitation on the REACH VET Clinical Program for Veterans at Risk for Suicide.

OBJECTIVE: In 2017, the Veterans Health Administration (VHA) implemented a national suicide prevention program, called Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET), that uses a predictive algorithm to identify, attempt to reach, assess, and care for patients at the highest risk for suicide. The authors aimed to evaluate whether facilitation enhanced implementation of REACH VET at VHA facilities not meeting target completion rates. METHODS: In this hybrid effectiveness-implementation type 2 program evaluation, a quasi-experimental pre-post design was used to assess changes in implementation outcome measures evaluated 6 months before and 6 months after onset of facilitation of REACH VET implementation at 23 VHA facilities. Measures included percentages of patients with documented coordinator and provider acknowledgment of receipt, care evaluation, and outreach attempt. Generalized estimating equations were used to compare differences in REACH VET outcome measures before and after facilitation. Qualitative interviews were conducted with personnel and were explored via template analysis. RESULTS: Time had a significant effect in all outcomes models (p<0.001). An effect of facilitation was significant only for the outcome of attempted outreach. Patients identified by REACH VET had significantly higher odds of having a documented outreach attempt after facilitation of REACH VET implementation, compared with before facilitation. Site personnel felt supported and reported that the external facilitators were helpful and responsive. CONCLUSIONS: Facilitation of REACH VET implementation was associated with an improvement in outreach attempts to veterans identified as being at increased risk for suicide. Outreach is critical for engaging veterans in care.

VHA mental health information system: applying health information technology to monitor and facilitate implementation of VHA Uniform Mental Health Services Handbook requirements.

AIM: To describe the design and deployment of health information technology to support implementation of mental health services policy requirements in the Veterans Health Administration (VHA). METHODS: Using administrative and self-report survey data, we developed and fielded metrics regarding implementation of the requirements delineated in the VHA Uniform Mental Health Services Handbook. Finalized metrics were incorporated into 2 external facilitation-based quality improvement programs led by the VHA Mental Health Operations. To support these programs, tailored site-specific reports were generated. RESULTS: Metric development required close collaboration between program evaluators, policy makers and clinical leadership, and consideration of policy language and intent. Electronic reports supporting different purposes required distinct formatting and presentation features, despite their having similar general goals and using the same metrics. DISCUSSION: Health information technology can facilitate mental health policy implementation but must be integrated into a process of consensus building and close collaboration with policy makers, evaluators, and practitioners.

Witnessed versus unwitnessed random urine tests in the treatment of opioid dependence.

BACKGROUND AND OBJECTIVES: Clinics licensed to provide pharmacotherapy for opiate dependence disorder are required to perform random urine drug screen (RUDS) tests. The results provide the empirical basis of individual treatment and programmatic effectiveness, and public health policy. Patients consent to witnessed testing but most tests are unwitnessed. The purpose of the present study was to compare treatment effectiveness estimates derived from witnessed versus unwitnessed urine samples. METHODS: We adopted a policy requiring visually witnessed urine drug screens (WUDS) and studied its impact (a single group, pretest-posttest design) on the RUDS test results in 115 male veterans enrolled in the St. Louis VA Opioid Treatment Program. RESULTS: The percentage of opioid-positive urine samples increased significantly following implementation of WUDS (25% vs. 41%, χ(2) = 66.5, p < .001). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Results of this preliminary study suggest that random testing alone does not ensure the integrity of UDS testing. Outcome calculations based on random unwitnessed tests may overestimate the effectiveness of opioid dependence disorder treatment.

Trends in opioid agonist therapy in the Veterans Health Administration: is supply keeping up with demand?

BACKGROUND: Opioid agonist therapy (OAT) through addiction specialty clinic settings (clinic-based OAT) using methadone or buprenorphine or office-based settings using buprenorphine (office-based OAT) is an evidence-based treatment for opioid dependence. The low number of clinic-based OATs available to veterans (N = 53) presents a barrier to OAT access; thus, the expansion in office-based OAT has been encouraged. OBJECTIVES: To examine trends in office-based OAT utilization over time and whether availability of office-based OAT improved the proportion of veterans with opioid use disorders treated with OAT. METHODS: We examined Veterans Health Administration (VHA) administrative data for evidence of buprenorphine prescribing and clinic-based OAT clinic stops from October 2003 through September 2010 [fiscal years (FY) 2004-2010]. RESULTS: The number of patients receiving buprenorphine increased from 300 at 27 facilities in FY2004 to 6147 at 118 facilities in FY2010. During this time, the number of patients diagnosed with an opioid use disorder increased by 45%; however, the proportion of opioid use disorder patients receiving OAT remained relatively stable, ranging from 25% to 27%. CONCLUSIONS: Office-based OAT utilization and the number of opioid use disorder veterans treated with OAT are increasing at the same rate over time, suggesting that office-based OAT is being used to meet the growing need for OAT care. Although office-based OAT is increasingly being used within the VHA and may be one way the VHA is keeping up with the demand for OAT, more research is needed to understand how to engage a greater proportion of opioid use disorder patients in treatment.

Outpatient provider staffing ratios: Binary recursive models associated with quality, access, and satisfaction.

Veterans Health Administration (VHA) continues to expand the mental health (MH) workforce to meet increasing demand for services. In the present study, longitudinal unbiased recursive partitioning models (conditional inference trees) were created to identify optimal cutoffs for outpatient staffing ratios associated with success on VHA's measures of quality, access, and satisfaction. Quarterly Staff-to-Patient Ratios (SPRs), defined as the number of full-time equivalent providers per 1,000 veterans receiving outpatient mental health care, were calculated for 12 quarters from fiscal years 2016-2018. Associations between VHA metrics associated with quality, access, and satisfaction were evaluated in relation to the overall outpatient SPR. The root node identified an overall outpatient SPR of 7.39 as the split for optimal MH performance. Root nodes associated with metrics addressing population coverage, continuity of care, and experience of care identified SPRs of 7.87, 6.81, and 7.42, respectively. In all analyses, the lowest SPRs were associated with the lowest performance on VHA MH metrics, while the highest SPRs were associated with the highest performance. Analyses support VHA's current recommended minimum outpatient SPR of 7.72 as a reasonable target to provide high-quality care, access, and satisfaction. (PsycInfo Database Record (c) 2023 APA, all rights reserved).