A framework for inferring and analyzing pharmacotherapy treatment patterns.

BACKGROUND: To discover pharmacotherapy prescription patterns and their statistical associations with outcomes through a clinical pathway inference framework applied to real-world data. METHODS: We apply machine learning steps in our framework using a 2006 to 2020 cohort of veterans with major depressive disorder (MDD). Outpatient antidepressant pharmacy fills, dispensed inpatient antidepressant medications, emergency department visits, self-harm, and all-cause mortality data were extracted from the Department of Veterans Affairs Corporate Data Warehouse. RESULTS: Our MDD cohort consisted of 252,179 individuals. During the study period there were 98,417 emergency department visits, 1,016 cases of self-harm, and 1,507 deaths from all causes. The top ten prescription patterns accounted for 69.3% of the data for individuals starting antidepressants at the fluoxetine equivalent of 20-39 mg. Additionally, we found associations between outcomes and dosage change. CONCLUSIONS: For 252,179 Veterans who served in Iraq and Afghanistan with subsequent MDD noted in their electronic medical records, we documented and described the major pharmacotherapy prescription patterns implemented by Veterans Health Administration providers. Ten patterns accounted for almost 70% of the data. Associations between antidepressant usage and outcomes in observational data may be confounded. The low numbers of adverse events, especially those associated with all-cause mortality, make our calculations imprecise. Furthermore, our outcomes are also indications for both disease and treatment. Despite these limitations, we demonstrate the usefulness of our framework in providing operational insight into clinical practice, and our results underscore the need for increased monitoring during critical points of treatment.

Veterans Health Administration Outpatient Psychiatry Staffing Model: Longitudinal Analysis on Mental Health Performance.

BACKGROUND: An adequate supply of mental health (MH) professionals is necessary to provide timely access to MH services. Veterans Health Administration (VHA) continues to prioritize the expansion of the MH workforce to meet increasing demand for services. OBJECTIVE: Validated staffing models are essential to ensure timely access to care, to plan for future demand, to ensure delivery of high-quality care, and to balance the demands of fiscal responsibility and strategic priorities. DESIGN: Longitudinal retrospective cohort of VHA outpatient psychiatry, fiscal years 2016-2021. PARTICIPANTS: Outpatient VHA psychiatrists. MAIN MEASURES: Quarterly outpatient staff-to-patient ratios (SPRs), defined as the number of full-time equivalent clinically assigned providers per 1000 veterans receiving outpatient MH care, were calculated. Longitudinal recursive partitioning models were created to identify optimal cut-offs for the outpatient psychiatry SPR associated with success on VHA's measures of quality, access, and satisfaction. KEY RESULTS: Among outpatient psychiatry staff, the root node identified an outpatient SPR of 1.09 for overall performance (p < 0.001). For metrics associated with Population Coverage, a root node identified an SPR of 1.36 (p < 0.001). Metrics associated with continuity of care and satisfaction were associated with a root node of 1.10 and 1.07 (p < 0.001), respectively. In all analyses, the lowest SPRs were associated with the lowest group performance on VHA MH metrics of interest. CONCLUSIONS: Establishing validated staffing models associated with high-quality MH care is critical given the national psychiatry shortage and increasing demand for services. Analyses support VHA's current recommended minimum outpatient psychiatry-specific SPR of 1.22 as a reasonable target to provide high-quality care, access, and satisfaction.

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.

Overdose Risk Associated with Opioid Use upon Hospital Discharge in Veterans Health Administration Surgical Patients.

OBJECTIVE: To determine an association between opioid use upon hospital discharge (ongoing and newly started) in surgical patients and risks of opioid overdose and delirium for the first year. DESIGN: Retrospective, cohort study. SETTING: Population-level study of Veterans Health Administration patients. SUBJECTS: All Veterans Health Administration patients (N = 64,391) who underwent surgery in 2011, discharged after one or more days, and without a diagnosis of opioid overdose or delirium from 90 days before admission through 30 days postdischarge (to account for additional opioid dosing in the context of chronic use). METHODS: Patients' opioid use was categorized as 1) no opioids, 2) tramadol only, 3) short-acting only, 4) long-acting only, 5) short- and long-acting. We calculated unadjusted incidence rates and the incidence rate ratio (IRR) for opioid overdose and drug delirium for two time intervals: postdischarge days 0-30 and days 31-365. We then modeled outcomes of opioid overdose and delirium for postdischarge days 31-365 using a multivariable extended Cox regression model. Sensitivity analysis examined risk factors for overdose for postdischarge days 0-30. RESULTS: Incidence of overdose was 11-fold greater from postdischarge days 0-30 than days 31-365: 26.3 events/person-year (N = 68) vs 2.4 events/person-year (N = 476; IRR = 10.80, 95% confidence interval [CI] = 8.37-13.92). Higher-intensity opioid use was associated with increasing risk of overdose for the year after surgery, with the highest risk for the short- and long-acting group (hazard ratio = 4.84, 95% CI = 3.28-7.14). Delirium (IRR = 10.66, 95% CI = 7.96-14.29) was also associated with higher opioid intensity. CONCLUSIONS: Surgical patients should be treated with the lowest effective intensity of opioids and be monitored to prevent opioid-related adverse events.

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.

Predictive validity of a quality measure for intensive substance use disorder treatment.

BACKGROUND: Measures of substance use disorder (SUD) treatment quality are essential tools for performance improvement. The Veterans Health Administration (VHA) developed a measure of access to and engagement in intensive outpatient programs (IOPs) for SUD. However, predictive validity, or associations between this measure and treatment outcomes, has not been examined. METHODS: Data on veterans with SUD came from 3 samples: the Outcomes Monitoring Project (N = 5436), a national evaluation of VHA mental health services (N = 339,887), and patients receiving detoxification services (N = 23,572). Propensity score-weighted mixed-effects regressions modeled associations between receiving at least 1 week of IOP treatment and patient outcomes, controlling for facility-level performance and a random effect for facility. RESULTS: Propensity score weighting reduced or eliminated observable baseline differences between patient groups. Patients who accessed IOPs versus those who did not reported significantly reduced alcohol- and drug-related symptom severity, with significantly fewer past-month days drinking alcohol (b = 1.83, P < .001) and fewer past-month days intoxicated (b = 1.55, P < .001). Patients who received IOP after detoxification services had higher 6-month utilization of SUD outpatient visits (b = 2.09, P < .001), more subsequent detoxification episodes (b = 0.25, P < .001), and lower odds of 2-year mortality (odds ratio [OR] = 0.68, 95% confidence interval [CI]: 0.61-0.75; P < .001). CONCLUSIONS: Receiving at least 1 week of SUD treatment in an IOP was associated with higher follow-up utilization, improved health outcomes, and reduced mortality. These associations lend support to the predictive validity of VHA's IOP quality measure. Future research should focus on measure feasibility and validity outside of VHA, and whether predictive validity is maintained once this quality measure is tied to performance incentives.

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.

Time-to-Cessation of Postoperative Opioids: A Population-Level Analysis of the Veterans Affairs Health Care System.

OBJECTIVE: This study aims to determine 1) the epidemiology of perioperative opioid use; and 2) the association between patterns of preoperative opioid use and time-to-cessation of postoperative opioids. DESIGN: Retrospective, cohort study. SETTING: National, population-level study of Veterans Healthcare Administration (VHA) electronic clinical data. SUBJECTS: All VHA patients (n = 64,391) who underwent surgery in 2011, discharged after stays of ≥1 day, and receiving ≥1 opioid prescription within 90 days of discharge. METHODS: Patients' preoperative opioid use were categorized as 1) no opioids, 2) tramadol only, 3) short-acting (SA) acute/intermittent (≤ 90 days fill), 4) SA chronic (> 90 days fill), or 5) any long-acting (LA). After defining cessation as 90 consecutive, opioid-free days, the authors calculated time-to-opioid-cessation (in days), from day 1 to day 365, after hospital discharge. The authors developed extended Cox regression models with a priori identified predictors. Sensitivity analyses used alternative cessation definitions (30 or 180 consecutive days). RESULTS: Almost 60% of the patients received preoperative opioids: tramadol (7.5%), SA acute/intermittent (24.1%), SA chronic (17.5%), and LA (5.2%). For patients opioid-free preoperatively, median time-to-cessation of opioids postoperatively was 15 days. The SA acute/intermittent cohort (HR =1.96; 95% CI =1.92-2.00) had greater risk for prolonged time-to-cessation than those opioid-free (reference), but lower risk than those taking tramadol only, SA chronic (HR = 9.09; 95% CI = 8.33-9.09), or LA opioids (HR = 9.09; 95% CI = 8.33-10.00). Diagnoses of chronic pain, substance-use, or affective disorders were weaker positive predictors. Sensitivity analyses maintained findings. CONCLUSION: Greater preoperative levels of opioid use were associated with progressively longer time-to-cessation postoperatively.

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.

Pain Duration and Resolution following Surgery: An Inception Cohort Study.

OBJECTIVE: Preoperative determinants of pain duration following surgery are poorly understood. We identified preoperative predictors of prolonged pain after surgery in a mixed surgical cohort. METHODS: We conducted a prospective longitudinal study of patients undergoing mastectomy, lumpectomy, thoracotomy, total knee replacement, or total hip replacement. We measured preoperative psychological distress and substance use, and then measured pain and opioid use after surgery until patients reported the cessation of both opioid consumption and pain. The primary endpoint was time to opioid cessation, and those results have been previously reported. Here, we report preoperative determinants of time to pain resolution following surgery in Cox proportional hazards regression. RESULTS: Between January 2007 and April 2009, we enrolled 107 of 134 consecutively approached patients undergoing the aforementioned surgical procedures. In the final multivariate model, preoperative self-perceived risk of addiction predicted more prolonged pain. Unexpectedly, anxiety sensitivity predicted more rapid pain resolution after surgery. Each one-point increase (on a four point scale) of self-perceived risk of addiction was associated with a 38% (95% CI 3-61) reduction in the rate of pain resolution (P = 0.04). Furthermore, higher anxiety sensitivity was associated with an 89% (95% CI 23-190) increased rate of pain resolution (P = 0.004). CONCLUSIONS: Greater preoperative self-perceived risk of addiction, and lower anxiety sensitivity predicted a slower rate of pain resolution following surgery. Each of these factors was a better predictor of pain duration than preoperative depressive symptoms, post-traumatic stress disorder symptoms, past substance use, fear of pain, gender, age, preoperative pain, or preoperative opioid use.

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.

Self-loathing aspects of depression reduce postoperative opioid cessation rate.

OBJECTIVE: We previously reported that increased preoperative Beck Depression Inventory II (BDI-II) scores were associated with a 47% (95% CI 24%-64%) reduction in the rate of opioid cessation following surgery. We aimed to identify the underlying factors of the BDI-II (affective/cognitive vs somatic) associated with a decreased rate of opioid cessation after surgery. METHODS: We conducted a secondary analysis of the data from a previously reported prospective, longitudinal, observational study of opioid use after five distinct surgical procedures (total hip replacement, total knee replacement, thoracotomy, mastectomy, and lumpectomy) in 107 patients. The primary endpoint was time to opioid cessation. After exploratory factor analysis of the BDI-II, mean summary scores were calculated for each identified factor. These scores were evaluated as predictors of time to opioid cessation using Cox proportional hazards regression. RESULTS: The exploratory factor analysis produced three factors (self-loathing symptoms, motivational symptoms, emotional symptoms). All three factors were significant predictors in univariate analysis. Of the three identified factors of the BDI-II, only preoperative self-loathing symptoms (past failure, guilty feelings, self-dislike, self-criticalness, suicidal thoughts, worthlessness) independently predicted a significant decrease in opioid cessation rate after surgery in the multivariate analysis (HR 0.86, 95% CI 0.75-0.99, P value 0.037). CONCLUSIONS: Our results identify a set of negative cognitions predicting prolonged time to postoperative opioid cessation. Somatic symptoms captured by the BDI-II were not primarily responsible for the association between preoperative BDI-II scores and postoperative prolonged opioid use.