Buprenorphine Receipt and Retention for Opioid Use Disorder following an Initiative to Increase Access in Primary Care.

OBJECTIVES: Buprenorphine, a medication for opioid use disorder (OUD), is underutilized in general medical settings. Further, it is inequitably received by racialized groups and persons with comorbidities. The Veterans Health Administration launched an initiative to increase buprenorphine receipt in primary care. The project's objective was to identify patient-related factors associated with buprenorphine receipt and retention in primary care clinics (n = 18) participating in the initiative. METHODS: Retrospective cohort quality improvement evaluation of patients 18 years or older with 2 or more primary care visits in a 1-year period and an OUD diagnosis in the year before the first primary care visit (index date). Buprenorphine receipt was the proportion of patients with OUD who received 1 or more buprenorphine prescriptions from primary care providers during the post-index year and retention the proportion who received buprenorphine for 180 days or longer. RESULTS: Of 2880 patients with OUD seen in primary care, 11.7% (95% confidence interval [CI], 10.6%-12.9%) received buprenorphine in primary care, 58.2% (95% CI, 52.8%-63.3%) of whom were retained on buprenorphine for 180 days or longer. Patients with alcohol use disorder (adjusted odds ratio [AOR], 0.39; 95% CI, 0.27-0.57), nonopioid drug use disorder (AOR, 0.64; 95% CI, 0.45-0.93), and serious mental illness (AOR, 0.60; 95% CI, 0.37-0.97) had lower buprenorphine receipt. Those with an anxiety disorder had higher buprenorphine receipt (AOR, 1.42; 95% CI, 1.04-1.95). Buprenorphine receipt (AOR, 0.55; 95% CI, 0.35-0.87) and 180-day retention (AOR, 0.40; 95% CI, 0.19-0.84) were less likely among non-Hispanic Black patients. CONCLUSIONS: Further integration of addiction services in primary care may be needed to enhance buprenorphine receipt for patients with comorbid substance use disorders, and interventions are needed to address disparities in receipt and retention among non-Hispanic Black patients.

"The Only Reason I Am Willing to Do It at All": Evaluation of VA's SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) Center.

OBJECTIVES: Medication treatment for opioid use disorder (MOUD) is effective and recommended for outpatient settings. We implemented and evaluated the SUpporting Primary care Providers in Opioid Risk reduction and Treatment (SUPPORT) Center-a quality improvement partnership to implement stepped care for MOUD in 2 Veterans Health Administration (VA) primary care (PC) clinics. METHODS: SUPPORT provided a dedicated clinical team (nurse practitioner prescriber and social worker) and stepped care ([1] identification, assessment, referral; [2] MOUD induction; [3] stabilization; and [4] maintenance supporting PC providers [PCPs] to initiate and/or sustain treatment) coupled with ongoing internal facilitation (consultation, trainings, informatics support). Qualitative interviews with stakeholders (PCPs and patients) and meeting notes identified barriers and facilitators to implementation. Electronic health record and patient tracking data measured reach, adoption, and implementation outcomes descriptively. RESULTS: SUPPORT's implementation barriers included the need for an X-waiver, VA's opioid tapering policies, patient and PCP knowledge gaps and PCP discomfort, and logistical compatibility and sustainability challenges for clinics. SUPPORT's dedicated clinical staff, ongoing internal facilitation, and high patient and PCP satisfaction were key facilitators. SUPPORT (January 2019 to September 2021) trained 218 providers; 63 received X-waivers, and 23 provided MOUD (10.5% of those trained). SUPPORT provided care to 167 patients, initiated MOUD for 33, and provided education and naloxone to 72 (all = 0 in year before launch). CONCLUSIONS: SUPPORT reached many PCPs and patients and resulted in small increases in MOUD prescribing and high levels of stakeholder satisfaction. Dedicated clinical staff was key to observed successes. Although resource-intensive, SUPPORT offers a potential model for outpatient MOUD provision.

Trends in Prevalence of Cannabis Use Disorder Among U.S. Veterans With and Without Psychiatric Disorders Between 2005 and 2019.

OBJECTIVE: Cannabis use disorder diagnoses are increasing among U.S. adults and are more prevalent among people with comorbid psychiatric disorders. Recent changes in cannabis laws, increasing cannabis availability, and higher-potency cannabis may have placed people with cannabis use and psychiatric disorders at disproportionately increasing risk for cannabis use disorder. The authors used Veterans Health Administration (VHA) data to examine whether trends in cannabis use disorder prevalence among VHA patients differ by whether they have psychiatric disorders. METHODS: VHA electronic health records from 2005 to 2019 (N range, 4,332,165-5,657,277) were used to identify overall and age-group-specific (<35, 35-64, and ≥65 years) trends in prevalence of cannabis use disorder diagnoses among patients with depressive, anxiety, posttraumatic stress, bipolar, or psychotic spectrum disorders and to compare these to corresponding trends among patients without any of these disorders. Given transitions in ICD coding, differences in trends were tested within two periods: 2005-2014 (ICD-9-CM) and 2016-2019 (ICD-10-CM). RESULTS: Greater increases in prevalence of cannabis use disorder diagnoses were observed among patients with psychiatric disorders compared to those without (difference in prevalence change, 2005-2014: 1.91%, 95% CI=1.87-1.96; 2016-2019: 0.34%, 95% CI=0.29-0.38). Disproportionate increases in cannabis use disorder prevalence among patients with psychiatric disorders were greatest among those under age 35 between 2005 and 2014, and among those age 65 or older between 2016 and 2019. Among patients with psychiatric disorders, the greatest increases in cannabis use disorder prevalences were observed among those with bipolar and psychotic spectrum disorders. CONCLUSIONS: The findings highlight disproportionately increasing disparities in risk of cannabis use disorder among VHA patients with common psychiatric disorders. Greater public health and clinical efforts are needed to monitor, prevent, and treat cannabis use disorder in this population.

Association of Cannabis Legalization with Cannabis Positive Drug Screening in US Veterans.

Background: Although cannabis legalization is associated with increases in self-report cannabis use, biological measures of cannabis use are needed to address potential bias introduced by improved self-reporting of cannabis use in states enacting medical cannabis laws (MCL) and recreational cannabis laws (RCL). Objective: Quantify the role of MCL and RCL enactment in cannabis positive urine drug screen (UDS) prevalence among Veterans Health Administration (VHA) emergency department (ED) patients from 2008 to 2019. Design: Staggered-adoption difference-in-difference analysis were used to estimate the role of MCL and RCL in cannabis positive UDS data, fitting adjusted linear binomial regression models to estimate the association between MCL and RCL enactment and prevalence of cannabis positive UDS. Participants: VHA enrolled veterans aged 18-75 years with ≥1 ED visit in a given year from 2008 to 2019. Main Measures: Receipt of ≥1 cannabis positive UDS during an ED visit were analyzed. Key Results: From 2008 to 2019, adjusted cannabis positive UDS prevalences increased from 16.4% to 25.6% in states with no cannabis law, 16.6% to 27.6% in MCL-only enacting states, and 18.2% to 33.8% in RCL-enacting states. MCL-only and MCL/RCL enactment was associated with a 0.8% (95% CI, 0.4-1.0) and 2.9% (95% CI, 2.5-3.3) absolute increase in cannabis positive UDS, respectively. Significant effect sizes were found for MCL and RCL, such that 7.0% and 18.5% of the total increase in cannabis positive UDS prevalence in MCL-only and RCL states could be attributed to MCLs and RCLs. Conclusions: In this study of VHA ED patients, MCL and RCL enactment played a significant role in the overall increases in cannabis positive UDS. The increase in a biological measure of cannabis use reduces concerns that previously documented increases in self-reported cannabis use from surveys are due to changes in patient willingness to report use as it becomes more legal.

Mental and Physical Health Conditions Among U.S. Veterans with Cannabis Use and Cannabis Use Disorders.

Purpose of Review: Veterans are a large population that is disproportionately affected by various physical and mental health conditions. The primary aim of this review is to provide a concise overview of recent literature on the prevalence of cannabis use and cannabis use disorder (CUD) among US Veterans, and associations with mental and physical health conditions. We also addressed gaps in the literature by investigating associations between CUD and mental and physical health conditions in 2019 data from the Veterans Health Administration (VHA; N=5,657,277). Recent Findings: In total, 25 studies were reviewed. In 2019, the prevalence of Veteran cannabis use ranged from 11.9%-18.7%. Cannabis use and CUD were associated with bipolar disorders, psychotic disorders, suicidality, pain conditions, and other substance use, but less consistently associated with depressive disorders, anxiety disorders, and posttraumatic stress disorder. Analyses of 2019 VHA data indicated that CUD was strongly associated with a broad array of physical and mental health conditions and mortality. Summary: Cannabis use and CUD are prevalent and highly comorbid with other conditions among US Veterans. Harm reduction methods tailored to these populations are needed.

Impact of an intervention to implement provision of opioid use disorder medication among patients with and without co-occurring substance use disorders.

INTRODUCTION: Co-occurring substance use disorders (SUDs) are common among people with opioid use disorder (OUD) and known to hinder receipt of medications for OUD (MOUD). It is important to understand how MOUD care implemented outside of SUD specialty settings impacts access for patients with co-occurring SUDs. The Veterans Health Administration's (VA) Stepped Care for Opioid Use Disorder Train the Trainer (SCOUTT) initiative was implemented in primary care, mental health, and pain clinics in 18 VA facilities, and was found to increase MOUD receipt. This study assessed the SCOUTT initiative's impact among patients with and without co-occurring SUDs. METHODS: This study used a controlled interrupted time series design. We extracted electronic health record data for patients with OUD with visits in SCOUTT intervention or matched comparison clinics during the post-implementation year (9/1/2018-8/31/2019). We examined the monthly proportion of patients who received MOUD in SCOUTT intervention or comparison clinics (primary care, mental health, and pain clinics), or in a VA SUD specialty clinic (where patients may have been referred), during the pre- and post-implementation years. Segmented logistic regression models estimated pre-post changes in outcomes (immediate level change from the final month of the pre-implementation period to the first month of the post-implementation period, change in trend/slope) in intervention vs. comparison facilities, adjusting for patient characteristics and pre-implementation trends. We stratified analyses by the presence of co-occurring SUDs. RESULTS: Among patients without co-occurring SUDs, the pre-post trend/slope change in MOUD received in SCOUTT intervention or comparison clinics was greater in intervention vs. comparison facilities (adjusted odds ratio [aOR]: 1.06, 95% confidence interval [CI]: 1.02-1.10), and the immediate increase in MOUD received in SUD clinics was greater in intervention vs. comparison facilities (aOR: 1.12, 95% CI: 1.02-1.22). These changes did not significantly differ in intervention vs. comparison facilities among patients with co-occurring SUDs. CONCLUSIONS: The SCOUTT initiative may have increased MOUD receipt primarily among patients without co-occurring SUDs. Focusing on increasing MOUD receipt for patients with co-occurring SUDs may improve the overall effectiveness of MOUD implementation efforts.

Towards shortening the Brief Addiction Monitor-Revised (BAM-R).

Introduction: The Brief Addiction Monitor-Revised (BAM-R) is a widely used, 17-item assessment of substance use, risk, and protective factors associated with recovery from substance use disorders. Despite wide adoption in the U.S. Department of Veterans Affairs (VA) and recommendations for use in measurement-based care (MBC), administration may not be feasible in many MBC settings due to time constraints. The purpose of this study was to derive a shortened version of the BAM-R for use in fast-paced healthcare settings. Methods: BAM-R data from 32,002 Veterans were obtained through the VA's Corporate Data Warehouse. We used logistic regression models to identify items for removal based on prediction of two clinical outcomes (90-day substance use disorder (SUD) treatment retention and 12-month mortality) and item-level sensitivity to change during substance use treatment. Results: Although no intake BAM-R items predicted SUD treatment retention or mortality, effect sizes for item-level sensitivity to change during substance use treatment varied from small to large. Seven items were judged as relevant for MBC of SUD. Among all BAM-R items, Heavy Alcohol Use, Self-Help, Drug Use, Craving, and Mood items demonstrated the greatest magnitude of sensitivity to change. Conclusions: Although additional research is recommended before a shortened BAM-R can be implemented in non-specialty MBC settings, we identified 5 BAM-R items with perceived clinical utility and scores that demonstrated evidence of sensitivity to change. Shortening the BAM-R increases feasibility of use, though more work is needed to optimize measurement for SUD MBC.

Clinician Perspectives on Delivering Medication Treatment for Opioid Use Disorder during the COVID-19 Pandemic: A Qualitative Evaluation.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic necessitated changes in opioid use disorder care. Little is known about COVID-19's impact on general healthcare clinicians' experiences providing medication treatment for opioid use disorder (MOUD). This qualitative evaluation assessed clinicians' beliefs about and experiences delivering MOUD in general healthcare clinics during COVID-19. METHODS: Individual semistructured interviews were conducted May through December 2020 with clinicians participating in a Department of Veterans Affairs initiative to implement MOUD in general healthcare clinics. Participants included 30 clinicians from 21 clinics (9 primary care, 10 pain, and 2 mental health). Interviews were analyzed using thematic analysis. RESULTS: The following 4 themes were identified: overall impact of the pandemic on MOUD care and patient well-being, features of MOUD care impacted, MOUD care delivery, and continuance of telehealth for MOUD care. Clinicians reported a rapid shift to telehealth care, resulting in few changes to patient assessments, MOUD initiations, and access to and quality of care. Although technological challenges were noted, clinicians highlighted positive experiences, including treatment destigmatization, more timely visits, and insight into patients' environments. Such changes resulted in more relaxed clinical interactions and improved clinic efficiency. Clinicians reported a preference for in-person and telehealth hybrid care models. CONCLUSIONS: After the quick shift to telehealth-based MOUD delivery, general healthcare clinicians reported few impacts on quality of care and highlighted several benefits that may address common barriers to MOUD care. Evaluations of in-person and telehealth hybrid care models, clinical outcomes, equity, and patient perspectives are needed to inform MOUD services moving forward.

Increasing risk of cannabis use disorder among U.S. veterans with chronic pain: 2005-2019.

ABSTRACT: In the United States, cannabis is increasingly used to manage chronic pain. Veterans Health Administration (VHA) patients are disproportionately affected by pain and may use cannabis for symptom management. Because cannabis use increases the risk of cannabis use disorders (CUDs), we examined time trends in CUD among VHA patients with and without chronic pain, and whether these trends differed by age. From VHA electronic health records from 2005 to 2019 (∼4.3-5.6 million patients yearly), we extracted diagnoses of CUD and chronic pain conditions ( International Classification of Diseases [ ICD ]- 9-CM , 2005-2014; ICD-10-CM , 2016-2019). Differential trends in CUD prevalence overall and age-stratified (<35, 35-64, or ≥65) were assessed by any chronic pain and number of pain conditions (0, 1, or ≥2). From 2005 to 2014, the prevalence of CUD among patients with any chronic pain increased significantly more (1.11%-2.56%) than those without pain (0.70%-1.26%). Cannabis use disorder prevalence increased significantly more among patients with chronic pain across all age groups and was highest among those with ≥2 pain conditions. From 2016 to 2019, CUD prevalence among patients age ≥65 with chronic pain increased significantly more (0.63%-1.01%) than those without chronic pain (0.28%-0.47%) and was highest among those with ≥2 pain conditions. Over time, CUD prevalence has increased more among VHA patients with chronic pain than other VHA patients, with the highest increase among those age ≥65. Clinicians should monitor symptoms of CUD among VHA patients and others with chronic pain who use cannabis, and consider noncannabis therapies, particularly because the effectiveness of cannabis for chronic pain management remains inconclusive.

U.S. veterans' experiences and factors associated with use of a smartphone application to self-manage unhealthy alcohol use.

Unhealthy alcohol use is common among Operations Enduring and Iraqi Freedom (OEF/OIF) veterans, yet barriers discourage treatment-seeking. Mobile applications (apps) that deliver alcohol interventions have potential to address these barriers and increase treatment receipt. Few studies have qualitatively assessed users' experiences with apps to manage alcohol use. We assessed OEF/OIF veterans' experiences with Step Away, an app to reduce alcohol-related risks, to identify factors that may influence engagement. This single-arm pilot study recruited OEF/OIF veterans with positive alcohol screens nationwide using mail/telephone. Veterans aged 18-55 who exceeded drinking guidelines and owned an iPhone were eligible. Twenty-one (16 men, 5 women) of 55 participants completed interviews. Interviews were analyzed using thematic analysis. Participants found Step Away easy to use, although setup was time consuming. Participants reported increased awareness of alcohol use, highlighting daily assessment, weekly feedback, goal setting, and high-risk notification features as helpful and associated awareness with an intent to decrease use. Participants described Step Away as informative, with over half reporting they would use it outside of the study and most recommending it. Suggestions for improvement included greater personalization and control over features. Step Away features appear to influence engagement and increase users' awareness about alcohol consumed and factors associated with drinking, as well as intent to change. Assessment, feedback, and customization features of apps may facilitate app engagement. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Benzodiazepine Treatment and Hospital Course of Medical Inpatients With Alcohol Withdrawal Syndrome in the Veterans Health Administration.

OBJECTIVE: To describe initial benzodiazepine dosing strategies and factors associated with variation in benzodiazepine dosing in a national cohort of hospitalized patients with alcohol withdrawal syndrome (AWS). PATIENTS AND METHODS: This cross-sectional study included adult patients with AWS admitted to medical services and treated with benzodiazepines at 93 Veterans Health Administration hospitals in 2013. Treatment was categorized by initial benzodiazepine dosing strategy-fixed-dose, symptom-triggered, or front-loading. Associations with patient characteristics, facility, and cumulative benzodiazepine exposure, intensive care, and intubation were evaluated. RESULTS: Among 6938 medical inpatients with AWS, 2909 (41.9%), 2829 (40.8%), and 1200 (17.3%) received treatment with symptom-triggered, fixed-dose, and front-loading benzodiazepines, respectively. The magnitude of differences in initial treatment associated with patient characteristics was small compared with differences associated with the predominant practice at a facility. Compared with fixed-dose therapy, symptom-triggered therapy was associated with higher cumulative benzodiazepine exposure (mean, 208-mg vs 182-mg diazepam equivalents) and higher probability of intensive care and intubation (28.2% vs 21.3% and 4.8% vs 3.5%, respectively). CONCLUSION: This study revealed that real-world AWS treatment of medical inpatients was often inconsistent with published guidelines recommending symptom-triggered long-acting benzodiazepines for AWS. The facility where a patient was hospitalized was associated with marked treatment variation. In contrast to prior randomized controlled trials conducted in specialized detoxification units, hospitalized patients who received symptom-triggered therapy in this study had greater cumulative benzodiazepine exposure and higher probability of intensive care and intubation than those receiving fixed-dose therapy.

Prevalence of medical and nonmedical cannabis use among veterans in primary care.

OBJECTIVE: This study examined past-year cannabis use prevalence and sociodemographic and clinical correlates of cannabis use among Veterans Health Administration (VHA) primary care patients in a state with legalized medical cannabis. METHOD: Participants were 1,072 predominantly white, male, VHA primary care patients enrolled in a drug screening validation study (2012-2014). Sociodemographic and clinical correlates were examined by past-year cannabis use status. Multivariate regression models, adjusted for demographics, estimated cannabis use prevalence and clinical correlates among recreational, medical, and both medical and recreational users. RESULTS: Nearly one in five (18.7%) veterans endorsed past-year cannabis use, with 14.1% of the total sample reporting any recreational use and 7.0% reporting any medical use. Correlates of any past-year use included younger age, period of service, being unmarried, lower education, lower income, other substance use, meeting criteria for an alcohol or drug use disorder or posttraumatic stress disorder, higher pain rating, and lower self-reported well-being. Compared to veterans endorsing only recreational use, veterans endorsing only medical use reported more cannabis use days but had lower odds of other drug use, alcohol or drug-related problems, or alcohol or drug use disorders. Differences between recreational only users and those using medical and recreational cannabis were minimal. CONCLUSIONS: Veterans enrolled in VHA in states with legalized cannabis may be particularly likely to use cannabis. Veterans identifying as recreational users may be at increased risk for adverse clinical outcomes compared to medical-only users. Prevalence monitoring, assessment, and intervention services should be considered, particularly in states with legalized cannabis. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Accessibility to Medication for Opioid Use Disorder After Interventions to Improve Prescribing Among Nonaddiction Clinics in the US Veterans Health Care System.

Importance: With increasing rates of opioid use disorder (OUD) and overdose deaths in the US, increased access to medications for OUD (MOUD) is paramount. Rigorous effectiveness evaluations of large-scale implementation initiatives using quasi-experimental designs are needed to inform expansion efforts. Objective: To evaluate a US Department of Veterans Affairs (VA) initiative to increase MOUD use in nonaddiction clinics. Design, Setting, and Participants: This quality improvement initiative used interrupted time series design to compare trends in MOUD receipt. Primary care, pain, and mental health clinics in the VA health care system (n = 35) located at 18 intervention facilities and nonintervention comparison clinics (n = 35) were matched on preimplementation MOUD prescribing trends, clinic size, and facility complexity. The cohort of patients with OUD who received care in intervention or comparison clinics in the year after September 1, 2018, were evaluated. The preimplementation period extended from September 1, 2017, through August 31, 2018, and the postimplementation period from September 1, 2018, through August 31, 2019. Exposures: The multifaceted implementation intervention included education, external facilitation, and quarterly reports. Main Outcomes and Measures: The main outcomes were the proportion of patients receiving MOUD and the number of patients per clinician prescribing MOUD. Segmented logistic regression evaluated monthly proportions of MOUD receipt 1 year before and after initiative launch, adjusting for demographic and clinical covariates. Poisson regression models examined yearly changes in clinician prescribing over the same time frame. Results: Overall, 7488 patients were seen in intervention clinics (mean [SD] age, 53.3 [14.2] years; 6858 [91.6%] male; 1476 [19.7%] Black, 417 [5.6%] Hispanic; 5162 [68.9%] White; 239 [3.2%] other race [including American Indian or Alaska Native, Asian, Native Hawaiian or other Pacific Islander, and multiple races]; and 194 [2.6%] unknown) and 7558 in comparison clinics (mean [SD] age, 53.4 [14.0] years; 6943 [91.9%] male; 1463 [19.4%] Black; 405 [5.4%] Hispanic; 5196 [68.9%] White; 244 [3.2%] other race; 250 [3.3%] unknown). During the preimplementation year, the proportion of patients receiving MOUD in intervention clinics increased monthly by 5.0% (adjusted odds ratio [AOR], 1.05; 95% CI, 1.03-1.07). Accounting for this preimplementation trend, the proportion of patients receiving MOUD increased monthly by an additional 2.3% (AOR, 1.02; 95% CI, 1.00-1.04) during the implementation year. Comparison clinics increased by 2.6% monthly before implementation (AOR, 1.03; 95% CI, 1.01-1.04), with no changes detected after implementation. Although preimplementation-year trends in monthly MOUD receipt were similar in intervention and comparison clinics, greater increases were seen in intervention clinics after implementation (AOR, 1.04; 95% CI, 1.01-1.08). Patients treated with MOUD per clinician in intervention clinics saw greater increases from before to after implementation compared with comparison clinics (incidence rate ratio, 1.50; 95% CI, 1.28-1.77). Conclusions and Relevance: A multifaceted implementation initiative in nonaddiction clinics was associated with increased MOUD prescribing. Findings suggest that engagement of clinicians in general clinical settings may increase MOUD access.

Clinical leaders and providers' perspectives on delivering medications for the treatment of opioid use disorder in Veteran Affairs' facilities.

BACKGROUND: Improving access to medication treatment of opioid use disorder (MOUD) is a national priority, yet common modifiable barriers (e.g., limited provider knowledge, negative beliefs about MOUD) often challenge implementation of MOUD delivery. To address these barriers, the VA launched a multifaceted implementation intervention focused on planning and educational strategies to increase MOUD delivery in 18 medical facilities. The purpose of this investigation was to determine if a multifaceted intervention approach to increase MOUD delivery changed providers' perceptions about MOUD over the first year of implementation. METHODS: Cross-disciplinary teams of clinic providers and leadership from primary care, pain, and mental health clinics at 18 VA medical facilities received invitations to complete an anonymous, electronic survey prior to intervention launch (baseline) and at 12- month follow-up. Responses were summarized using descriptive statistics, and changes over time were compared using regression models adjusted for gender and prescriber status, and clustered on facility. Responses to open-ended questions were thematically analyzed using a template analysis approach. RESULTS: Survey response rates at baseline and follow-up were 57.1% (56/98) and 50.4% (61/121), respectively. At both time points, most respondents agreed that MOUD delivery is important (94.7 vs. 86.9%), lifesaving (92.8 vs. 88.5%) and evidence-based (85.2 vs. 89.5%). Over one-third (37.5%) viewed MOUD delivery as time-consuming, and only 53.7% affirmed that clinic providers wanted to prescribe MOUD at baseline; similar responses were seen at follow-up (34.5 and 52.4%, respectively). Respondents rated their knowledge about OUD, comfort discussing opioid use with patients, job satisfaction, ability to help patients with OUD, and support from colleagues favorably at both time points. Respondents' ratings of MOUD delivery filling a gap in care were high but declined significantly from baseline to follow-up (85.7 vs. 73.7%, p < 0.04). Open-ended responses identified implementation barriers including lack of support to diagnose and treat OUD and lack of time. CONCLUSIONS: Although perceptions about MOUD generally were positive, targeted education and planning strategies did not improve providers' and clinical leaders' perceptions of MOUD over time. Strategies that improve leaders' prioritization and support of MOUD and address time constraints related to delivering MOUD may increase access to MOUD in non-substance use treatment clinics.

Loving-Kindness Meditation vs Cognitive Processing Therapy for Posttraumatic Stress Disorder Among Veterans: A Randomized Clinical Trial.

Importance: Additional options are needed for treatment of posttraumatic stress disorder (PTSD) among veterans. Objective: To determine whether group loving-kindness meditation is noninferior to group cognitive processing therapy for treatment of PTSD. Design, Setting, and Participants: This randomized clinical noninferiority trial assessed PTSD and depression at baseline, posttreatment, and 3- and 6-month follow-up. Veterans were recruited from September 24, 2014, to February 5, 2018, from a large Veternas Affairs medical center in Seattle, Washington. A total of 184 veteran volunteers who met Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) criteria for PTSD were randomized. Data collection was completed November 28, 2018, and data analyses were conducted from December 10, 2018, to November 5, 2019. Interventions: Each intervention comprised 12 weekly 90-minute group sessions. Loving-kindness meditation (n = 91) involves silent repetition of phrases intended to elicit feelings of kindness for oneself and others. Cognitive processing therapy (n = 93) combines cognitive restructuring with emotional processing of trauma-related content. Main Outcomes and Measures: Co-primary outcomes were change in PTSD and depression scores over 6-month follow-up, assessed by the Clinician-Administered PTSD Scale (CAPS-5; range, 0-80; higher is worse) and Patient-Reported Outcome Measurement Information System (PROMIS; reported as standardized T-score with mean [SD] of 50 [10] points; higher is worse) depression measures. Noninferiority margins were 5 points on the CAPS-5 and 4 points on the PROMIS depression measure. Results: Among the 184 veterans (mean [SD] age, 57.1 [13.1] years; 153 men [83.2%]; 107 White participants [58.2%]) included in the study, 91 (49.5%) were randomized to the loving-kindness group, and 93 (50.5%) were randomized to the cognitive processing group. The mean (SD) baseline CAPS-5 score was 35.5 (11.8) and mean (SD) PROMIS depression score was 60.9 (7.9). A total of 121 veterans (66%) completed 6-month follow-up. At 6 months posttreatment, mean CAPS-5 scores were 28.02 (95% CI, 24.72-31.32) for cognitive processing therapy and 25.92 (95% CI, 22.62-29.23) for loving-kindness meditation (difference, 2.09; 95% CI, -2.59 to 6.78), and mean PROMIS depression scores were 61.22 (95% CI, 59.21-63.23) for cognitive processing therapy and 58.88 (95% CI, 56.86-60.91) for loving-kindness meditation (difference, 2.34; 95% CI, -0.52 to 5.19). In superiority analyses, there were no significant between-group differences in CAPS-5 scores, whereas for PROMIS depression scores, greater reductions were found for loving-kindness meditation vs cognitive processing therapy (for patients attending ≥6 visits, ≥4-point improvement was noted in 24 [39.3%] veterans receiving loving-kindness meditation vs 9 (18.0%) receiving cognitive processing therapy; P = .03). Conclusions and Relevance: Among veterans with PTSD, loving-kindness meditation resulted in reductions in PTSD symptoms that were noninferior to group cognitive processing therapy. For both interventions, the magnitude of improvement in PTSD symptoms was modest. Change over time in depressive symptoms was greater for loving-kindness meditation than for cognitive processing therapy. Trial Registration: Clinicaltrials.gov Identifier: NCT01962714.

Usability and Acceptability of a Mobile App for the Self-Management of Alcohol Misuse Among Veterans (Step Away): Pilot Cohort Study.

BACKGROUND: Alcohol misuse is common among Operation Enduring Freedom and Operation Iraqi Freedom veterans, yet barriers limit treatment participation. Mobile apps hold promise as means to deliver alcohol interventions to veterans who prefer to remain anonymous, have little time for conventional treatments, or live too far away to attend treatment in person. OBJECTIVE: This pilot study evaluated the usability and acceptability of Step Away, a mobile app designed to reduce alcohol-related risks, and explored pre-post changes on alcohol use, psychological distress, and quality of life. METHODS: This single-arm pilot study recruited Operation Enduring Freedom and Operation Iraqi Freedom veterans aged 18 to 55 years who exceeded National Institute on Alcohol Abuse and Alcoholism drinking guidelines and owned an iPhone. Enrolled veterans (N=55) completed baseline and 1-, 3-, and 6-month assessments. The System Usability Scale (scaled 1-100, ≥70 indicating acceptable usability) assessed the effectiveness, efficiency, and satisfaction dimensions of usability, while a single item (scaled 1-9) measured the attractiveness of 10 screenshots. Learnability was assessed by app use during week 1. App engagement (proportion of participants using Step Away, episodes of use, and minutes per episode per week) over 6 months measured acceptability. Secondary outcomes included pre-post change on heavy drinking days (men: ≥5 drinks per day; women: ≥4 drinks per day) and Short Inventory of Problems-Revised, Kessler-10, and brief World Health Organization Quality of Life Questionnaire scores. RESULTS: Among the 55 veterans enrolled in the study, the mean age was 37.4 (SD 7.6), 16% (9/55) were women, 82% (45/55) were White, and 82% (45/55) had an alcohol use disorder. Step Away was used by 96% (53/55) of participants in week 1, 55% (30/55) in week 4, and 36% (20/55) in week 24. Step Away use averaged 55.1 minutes (SD 57.6) in week 1 and <15 minutes per week in weeks 2 through 24. Mean System Usability Scale scores were 69.3 (SD 19.7) and 71.9 (SD 15.8) at 1 and 3 months, respectively. Median attractiveness scores ranged from 5 to 8, with lower ratings for text-laden screens. Heavy drinking days decreased from 29.4% (95% CI 23.4%-35.4%) at baseline to 16.2% (95% CI 9.9%-22.4%) at 6 months (P<.001). Likewise, over 6 months, Short Inventory of Problems-Revised scores decreased from 6.3 (95% CI 5.1-7.5) to 3.6 (95% CI 2.4-4.9) (P<.001) and Kessler-10 scores decreased from 18.8 (95% CI 17.4-20.1) to 17.3 (95% CI 15.8-18.7) (P=.046). Changes were not detected on quality of life scores. CONCLUSIONS: Operation Enduring Freedom and Operation Iraqi Freedom veterans found the usability of Step Away to be acceptable and engaged in the app over the 6-month study. Reductions were seen in heavy drinking days, alcohol-related problems, and Kessler-10 scores. A larger randomized trial is warranted to confirm our findings.

Primary Care and Mental Health Prescribers, Key Clinical Leaders, and Clinical Pharmacist Specialists' Perspectives on Opioids and Benzodiazepines.

OBJECTIVE: Due to increased risks of overdose fatalities and injuries associated with coprescription of opioids and benzodiazepines, healthcare systems have prioritized deprescribing this combination. Although prior work has examined providers' perspectives on deprescribing each medication separately, perspectives on deprescribing patients with combined use is unclear. We examined providers' perspectives on coprescribed opioids and benzodiazepines and identified barriers and facilitators to deprescribing. DESIGN: Qualitative study using semistructured interviews. SETTING: One multisite Veterans Affairs (VA) healthcare system in the United States of America. SUBJECTS: Primary care and mental health prescribers, key clinical leaders, clinical pharmacist specialists (N = 39). METHODS: Interviews were audio-recorded, transcribed, and analyzed using thematic analysis. Themes were identified iteratively, through a multidisciplinary team-based process. RESULTS: Analyses identified four themes related to barriers and facilitators to deprescribing: inertia, prescriber self-efficacy, feasibility of deprescribing/tapering, and promoting deprescribing, as well as a fifth theme, consequences of deprescribing. Results highlighted the complexity of deprescribing when multiple prescribers are involved, a need for additional support and time, and concerns about patients' reluctance to discontinue these medications. Facilitators included agreement with the goal of deprescribing and fear of negative consequences if medications are continued. Providers spoke to how deprescribing efforts impaired patient-provider relationships and informed their decisions not to start patients on these medications. CONCLUSIONS: Although providers agree with the goal, prescribers' belief in a limited deprescribing role, challenges with coordination among prescribers, concerns about insufficient time and patients' resistance to discontinuing these medications need to be addressed for efforts to be successful.

Use of Electronic Health Record Data to Estimate the Probability of Alcohol Withdrawal Syndrome in a National Cohort of Hospitalized Veterans.

OBJECTIVES: Inpatient alcohol withdrawal syndrome (AWS) is common and early treatment improves outcomes, but no prior study has used electronic health record (EHR) data, available at admission, to predict the probability of inpatient AWS. This study estimated the probability of inpatient AWS using prior-year EHR data, hypothesizing that documented alcohol use disorder (AUD) and AWS would be strongly associated with inpatient AWS while exploring associations with other patient characteristics. METHODS: The study investigated patients hospitalized ≥24 hours on medical services in the Veterans Health Administration during 2013 using EHR data extracted from the Veterans Health Administration Corporate Data Warehouse. ICD-9-CM diagnosis code, demographic, and healthcare utilization data documented in the year before admission defined prior-year AUD, AWS, and other factors associated with inpatient AWS. The primary outcome, inpatient AWS, was defined by inpatient ICD-9-CM codes. RESULTS: The unadjusted probability of AWS was 5.0% (95% CI 4.5%-5.4%) among 209,151 medical inpatients overall, 26.4% (95% CI 24.4%-28.4%) among those with prior-year AUD, and 62.5% (95% CI 35.2%-39.7%) among those with prior-year AWS. Of those with AWS, 86% had documented prior-year AUD and/or AWS. Other patient characteristics associated with increased probability of inpatient AWS (P < 0.001) were: male sex, single relationship status, homelessness, seizure, and cirrhosis. CONCLUSIONS: Although inpatient providers often use history to predict AWS, this is the first study in hospitalized patients to inform and validate this practice, showing that prior-year diagnosis of AUD and/or AWS in particular, can identify the majority of inpatients who should be monitored for AWS.

Examination of potential disparities in suicide risk identification and follow-up care within the Veterans Health Administration.

To improve the identification and intervention of suicide risk, the Veterans Health Administration implemented the use of electronic patient record flags (PRF) to indicate when a veteran is identified as high risk for suicide and to increase the clinical contacts made with the veteran. The current study utilized an intersectional approach to assess potential disparities in the likelihood of receiving a PRF and the likelihood of receiving post-PRF follow-up care among veterans with substance use disorders (SUDs). Among 458,092 veterans who received a SUD diagnosis in 2012, Black veterans were less likely to receive a PRF, although Black-disabled veterans and Black-female veterans were more likely to receive a PRF. Homelessness was related to greater likelihood of receiving a PRF and post-PRF care. Hispanic/Latinx veterans who experienced homelessness were more likely to receive post-PRF care, while disabled veterans who experienced homelessness were less likely. Hispanic/Latinx, female veterans, and Black-disabled veterans were significantly less likely to receive post-PRF care. Overall, few marginalized or intersecting identities were associated with decreased PRF or decreased follow-up care. There are opportunities for specific strategies that promote engagement in VA follow-up services for veterans identifying as Hispanic/Latinx women, disabled Black veterans, and disabled homeless veterans.

Prevalence and Variation of Clinically Recognized Inpatient Alcohol Withdrawal Syndrome in the Veterans Health Administration.

OBJECTIVES: No prior study has evaluated the prevalence or variability of alcohol withdrawal syndrome (AWS) in general hospitals in the United States. METHODS: This retrospective study used secondary data from the Veterans Health Administration (VHA) to estimate the documented prevalence of clinically recognized AWS among patients engaged in VHA care who were hospitalized during fiscal year 2013. We describe variation in documented inpatient AWS by geographic region, hospital, admitting specialty, and inpatient diagnoses using International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis and/or procedure codes recorded at hospital admission, transfer, or discharge. RESULTS: Among 469,082 eligible hospitalizations, the national prevalence of documented inpatient AWS was 5.8% (95% confidence interval [CI] 5.2%-6.4%), but there was marked variation by geographic region (4.3%-11.2%), hospital (1.4%-16.1%), admitting specialty (0.7%-19.0%), and comorbid diagnoses (1.3%-38.3%). AWS affected a high proportion of psychiatric admissions (19.0%, 95% CI 17.5%-20.4%) versus Medical (4.4%, 95% CI 4.0%-4.8%) or surgical (0.7%, 95% CI 0.6%-0.8%); though by volume, medical admissions represented the majority of hospitalizations complicated by AWS (n = 13,478 medical versus n = 12,305 psychiatric and n = 595 surgical). Clinically recognized AWS was also common during hospitalizations involving other alcohol-related disorders (38.3%, 95% CI 35.8%-40.8%), other substance use conditions (19.3%, 95% CI 17.7%-20.9%), attempted suicide (15.3%, 95% CI 13.0%-17.6%), and liver injury (13.9%, 95% CI 12.6%-15.1%). CONCLUSIONS: AWS was commonly recognized and documented during VHA hospitalizations in 2013, but varied considerably across inpatient settings. This clinical variation may, in part, reflect differences in quality of care and warrants further, more rigorous investigation.