A Statewide Examination of Medical Cannabis Purchasing Patterns in Arkansas Over the Three Years Immediately Following Legalization.

Introduction: The use of medical cannabis (MC) to treat a host of conditions has expanded considerably in the United States; however, precise quantitative assessments of purchasing characteristics are unknown. This study sought to characterize the trends in MC purchases, US dollars spent, and type and amount purchased by demographic and clinical characteristics. Materials and Methods: This descriptive exploratory association study examined statewide MC registry data in Arkansas linked at the person level with statewide transaction data documenting each MC purchase. MC transaction data (May 11, 2019-August 31, 2022) were assessed to identify persons who could be linked to the registry data and made at least one purchase. Individual demographic characteristics and MC qualifying conditions (QCs) were ascertained. Product types were classified into plant cannabis, cannabis extract for inhalation (vape), edibles, and others. The average daily total delta-9-tetrahydrocannabinol (THC) purchased was calculated based on the concentration and quantity purchased. Purchasing characteristics are described and demographic and clinical factors associated with THC purchased per day and dollars spent per year were estimated by ordinary least square regression and general linear models with a gamma distribution. Results: On average, 89,057 MC purchasers spent $3343 (interquartile range [IQR], $907-$4802), had 33.34 (IQR, 8.32-46.03) transaction days per year, and purchased 162.32 mg (IQR, 30.51-237.69) of THC per day. Most persons predominantly purchased plant cannabis (68.27%), followed by edibles (14.92%) and vape (11.96%). Individuals younger than 18 years of age (ß=-78.23; 95% confidence interval [CI], -116.599 to -39.863), persons 70 and older (ß = -122.30; 95% CI, -128.18 to -116.422), and women (ß=-33.70; 95% CI, -35.95 to -31.446) purchased less THC per day than their counterparts after multivariate adjustment. The most common QCs were pain and post-traumatic stress disorder (PTSD), and compared to those with cancer, persons with pain (ß = 26.30; 95% CI, 18.636-33.96) and PTSD (ß = 38.34; 95% CI, 30.467-46.222) purchased more THC per day. Conclusion: The average THC purchased per person per day exceeds typically recommended daily doses for therapeutic uses, and further research is warranted to assess the safety and benefits of MC across these conditions.

Average Daily Dose Trajectories for Episodes of Buprenorphine Treatment for Opioid Use Disorder.

BACKGROUND: High-dose (≥24 mg) buprenorphine daily doses (BDD) may be important in treating patients with opioid use disorder (OUD) to improve retention and prevent overdose, particularly in the context of increased illicit fentanyl use. This study sought to: (1) identify trajectories for average BDD among patients initiating buprenorphine treatment for OUD and (2) assess patient characteristics associated with these identified trajectories. METHODS: Buprenorphine treatment episodes among patients in the US Veterans Healthcare Administration (VHA) from federal fiscal years 2006 to 2020 were identified. Group-based trajectory modeling (GBTM) was used to identify BDD trajectories based on weekly averages of BDD over the 180 days after buprenorphine episode initiation. RESULTS: A total of 79 303 buprenorphine treatment episodes among 44 583 patients were included in the analytic sample. GBTM identified 9 latent trajectories for BDD: (1) moderate dose, early discontinuation (10.1%), (2) moderate dose, delayed discontinuation (4.5%), (3) moderate dose, moderate-paced discontinuation (5.2%), (4) low-moderate dose, delayed discontinuation (7.0%), and (5) low-moderate dose, early discontinuation (21.1%), (6) low dose retention (9.6%), (7) low-moderate dose retention (16.7%), (8) moderate dose retention (18.6%), and (9) high dose retention (7.4%). Patient BDD can broadly be characterized as low [2-4 mg/day], low-moderate (6-8 mg/day), moderate (12-18 mg/day), and high dose (≥ 24 mg/day). Patients with episodes in the high BDD trajectory have the lowest social risk (eg, lowest rate of past-year history of homelessness) and the lowest diagnosed rate of physical and mental health-related comorbidities compared to those following other trajectories. CONCLUSIONS: BDD ranges widely and patient characteristics are significantly different between those episodes following differing BDD trajectories. Future research on the association between BDD and subsequent patient outcomes (eg, overdose) needs to carefully consider these differences in baseline characteristics.

Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder.

BACKGROUND: Buprenorphine for opioid use disorder (B-MOUD) is essential to improving patient outcomes; however, retention is essential. OBJECTIVE: To develop and validate machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans initiating B-MOUD. METHODS: Veterans initiating B-MOUD from fiscal years 2006-2020 were identified. Veterans' B-MOUD episodes were randomly divided into training (80%;n = 45,238) and testing samples (20%;n = 11,309). Candidate algorithms [multiple logistic regression, least absolute shrinkage and selection operator regression, random forest (RF), gradient boosting machine (GBM), and deep neural network (DNN)] were used to build and validate classification models to predict six binary outcomes: 1) B-MOUD retention, 2) any overdose, 3) opioid-related overdose, 4) overdose death, 5) opioid overdose death, and 6) all-cause mortality. Model performance was assessed using standard classification statistics [e.g., area under the receiver operating characteristic curve (AUC-ROC)]. RESULTS: Episodes in the training sample were 93.0% male, 78.0% White, 72.3% unemployed, and 48.3% had a concurrent drug use disorder. The GBM model slightly outperformed others in predicting B-MOUD retention (AUC-ROC = 0.72). RF models outperformed others in predicting any overdose (AUC-ROC = 0.77) and opioid overdose (AUC-ROC = 0.77). RF and GBM outperformed other models for overdose death (AUC-ROC = 0.74 for both), and RF and DNN outperformed other models for opioid overdose death (RF AUC-ROC = 0.79; DNN AUC-ROC = 0.78). RF and GBM also outperformed other models for all-cause mortality (AUC-ROC = 0.76 for both). No single predictor accounted for >3% of the model's variance. CONCLUSIONS: Machine-learning algorithms can accurately predict OUD-related outcomes with moderate predictive performance; however, prediction of these outcomes is driven by many characteristics.

Are gaps in rates of retention on buprenorphine for treatment of opioid use disorder closing among veterans across different races and ethnicities? A retrospective cohort study.

INTRODUCTION: The U.S. Veterans Health Administration has undertaken several initiatives to improve veterans' access to and retention on buprenorphine because it prevents overdose and reduces drug-related morbidity. We aimed to determine whether improvements in retention duration over time was equitable across veterans of different races and ethnicities. METHODS: This retrospective cohort study was conducted among veterans who initiated buprenorphine from federal fiscal years (FY) 2006 to 2020 after diagnosis of opioid use disorder. Using an accelerated failure time model, we estimated the association between time to buprenorphine discontinuation and FY of initiation, race and ethnicity, and other control covariates. We followed veterans from buprenorphine initiation until they discontinued or had a censoring event. We then estimated the predicted median days retained on buprenorphine, the average marginal effect of initiating in a later FY, the same measure by race and ethnicity, the incremental effect of the various racial and ethnic identities in contrast to non-Hispanic White, and the total change in the size of the gap over the 15 years of the study between veterans with a minoritized racial or ethnic identity compared to non-Hispanic White veterans. RESULTS: Most of the 31,797 veterans in the sample were non-Hispanic White (74.5 %), from urban areas (83.5 %), male (92.0 %), and had significant comorbidities, most frequently anxiety disorders (51.0 %) and depression (63.0 %). Overall, 49.8 % of veterans were retained at least 180 days. The average marginal effect of FY was 7.0 days [95%CI:5.3, 8.8] but was significantly smaller among veterans identifying as Black or African American [3.2 days; 95%CI:2.4, 4.1] or Asian [3.6 days; 95%CI:1.6, 5.7] compared to veterans who identify as non-Hispanic White [7.9 days; 95%CI:5.9, 9.9]. Additional measures of change were significant for veterans identifying as Hispanic White or with two or more races. CONCLUSION: Although buprenorphine retention in OUD treatment improved for all veterans over the 15-year study period, veterans from most minoritized racial and ethnic groups fell further behind as gains in duration on therapy accrued primarily to non-Hispanic White veterans. Targeted interventions addressing specific challenges experienced by veterans with minoritized identities are needed to close gaps in retention on buprenorphine.

Veteran suicide and associated community characteristics in Oregon.

Developing a public health approach to suicide prevention among United States (US) military veterans requires additional data and guidance on where, when, for whom, and what prevention resources should be deployed. This study examines veteran suicide mortality across one US state (Oregon) to identify county-level "hotspots" for veteran suicide, identify community characteristics associated with increased suicide among veterans, and examine excess spatial risk after accounting for space, time, and community characteristics. We linked Oregon mortality data with VA databases to identify veterans who had resided in Oregon and died by suicide between January 1, 2009 and December 31, 2018 (n = 1727). Community characteristic data were gathered at the county level from publicly available datasets on social determinants of health known to be associated with poor health outcomes, including suicide risk. We estimated spatial generalized linear mixed models for the full 10-year period and for each 5-year period using integrated nested Laplace approximation with county as the higher hierarchy. Smoothed standardized mortality ratios were used to identify counties with higher risk of veteran suicide. We found a small clustering of counties in the southwestern corner of Oregon that held the highest risk for veteran suicide across the ten years studied. In multivariable models, higher prevalence of unmarried persons was the only community measure significantly associated with increased veteran suicide risk. However, social contextual factors as a group, along with geographic space, explained most risk for suicide among veterans at the population level.

Evaluating the temporal association between the recency of prescribed controlled substance acquisition and fatal and non-fatal opioid overdose.

BACKGROUND: Previous studies have explored psychosocial effects as possible triggers of opioid overdose (OOD). However, little is known about the temporal association between OOD and prescribed controlled substance (CS) acquisition. OBJECTIVE: The objective of this study was to evaluate the temporal relationship between OOD and acquiring prescribed CSs prior to OOD. METHODS: This study is an exploratory descriptive analysis using Arkansas Prescription Drug Monitoring Program (AR-PDMP) data linked to death certificate and statewide inpatient discharge records. All persons with ≥1 AR-PDMP prescription fill(s) between 1 January 2014 and 31 December 2017 were included (n = 1,946,686). For persons that experienced OOD and had ≥1 PDMP record(s), the difference in days between OOD and the most recent AR-PDMP prescription filled prior to an OOD was recorded. To account for censoring, a sensitivity analysis was conducted restricting the study group to "New AR-PDMP Entrants" that had at least a 180-day gap between consecutive AR-PDMP fill dates. RESULTS: 28,998,307 AR-PDMP records were analyzed for 1,946,686 individuals. 7195 persons experienced 9223 OODs and 414 (4.49%) of those were fatal. Of these, 6236 experienced ≥1 OOD and acquired prescribed CSs prior to or on the day of the first OOD. Of those that experienced ≥1 OOD(s), 2201 (30.59%) had an AR-PDMP record in the 0- to 5-day period prior to their overdose and 497 (6.91%) had an AR-PDMP record the day prior to their overdose. Among New AR-PDMP Entrants that experienced ≥1 OOD(s), 408 (27.38%) had an AR-PDMP record in the 0- to 5-day period prior to their overdose. CONCLUSION: Though the vast majority of persons accessing CSs in Arkansas did not experience an OOD, a sizable proportion of persons that experience an OOD(s) obtained prescribed CSs immediately prior.

Adjustment to the COVID-19 pandemic: associations with global and situational meaning.

COVID-19 has created pervasive upheaval and uncertainty in communities around the world. This investigation evaluated associations between discrete dimensions of personal meaning and psychological adjustment to the pandemic among community residents in a southern US state. In this cross-sectional study, 544 respondents were assessed during a period of reopening but accelerating infection rates. Validated measures were used to evaluate theoretically distinct dimensions of perceived global meaning (Meaning-in-Life Questionnaire) and pandemic-specific meaning (Meaning in Illness Scale). Adjustment outcomes included perceived stress, pandemic-related helplessness, and acceptance of the pandemic. In multivariate models that controlled for demographic and pandemic-related factors, stronger attained global meaning (i.e., perceptions that life is generally meaningful) and attained situational meaning (i.e., perceptions that the pandemic experience was comprehensible) were related to better adjustment on all three outcomes (all p's < .001). In contrast, seeking situational meaning (i.e., ongoing efforts to find coherence in the situation) was associated with poorer adjustment on all indices (all p's < .001). Results offer novel information regarding theoretically salient dimensions of meaning, which may have direct relevance for understanding how community residents adapt to the challenges of a major public health crisis.

Using data science to improve outcomes for persons with opioid use disorder.

Medication treatment for opioid use disorder (MOUD) is an effective evidence-based therapy for decreasing opioid-related adverse outcomes. Effective strategies for retaining persons on MOUD, an essential step to improving outcomes, are needed as roughly half of all persons initiating MOUD discontinue within a year. Data science may be valuable and promising for improving MOUD retention by using "big data" (e.g., electronic health record data, claims data mobile/sensor data, social media data) and specific machine learning techniques (e.g., predictive modeling, natural language processing, reinforcement learning) to individualize patient care. Maximizing the utility of data science to improve MOUD retention requires a three-pronged approach: (1) increasing funding for data science research for OUD, (2) integrating data from multiple sources including treatment for OUD and general medical care as well as data not specific to medical care (e.g., mobile, sensor, and social media data), and (3) applying multiple data science approaches with integrated big data to provide insights and optimize advances in the OUD and overall addiction fields.

Impact of transitioning from long-term to intermittent opioid therapy on the development of opioid-related adverse outcomes: A retrospective cohort study.

BACKGROUND: Increasing pressures exist to reduce or discontinue opioid use among patients currently on long-term opioid therapy (LTOT). It is essential to understand the potential effects of opioid reduction. METHODS: This retrospective cohort study was conducted among veterans with chronic pain and on LTOT. Using 1:1 propensity score-matched samples of veterans switching to intermittent opioid therapy and those continuing LTOT, we examined the development of subsequent substance use disorders (SUD composite; individual SUD types: opioid, non-opioid drug, and alcohol use disorders) and opioid-related adverse outcomes (ORAO composite; individual ORAO types: accidents resulting in wounds/injuries, opioid-related and alcohol/non-opioid medication-related accidents and overdoses, self-inflicted and violence-related injuries). Sensitivity analyses were conducted using logistic regression with stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models. RESULTS: A total of 29,293 veterans switching to intermittent therapy were matched to veterans continuing LTOT. With matched samples, no differences were found in composite SUDs and ORAOs between the groups. With SIPTW, veterans switching to intermittent opioid therapy had higher odds of composite SUDs and ORAOs (SUDs aOR=1.12, 95%CI: 1.07,1.17; ORAOs aOR=1.05, 95%CI:1.00,1.09). IV models found lower risks for composite SUDs and ORAOs among veterans switching to intermittent opioid therapy (SUDs: ß = -0.38, 95%CI:-0.63,-0.13; ORAOs: ß = -0.27, 95%CI:-0.50,-0.04). CONCLUSIONS: There were no consistent associations between transitioning patients from LTOT to intermittent opioid therapy and the risk of SUDs and ORAOs.

Association between discontinuing chronic opioid therapy and newly diagnosed substance use disorders, accidents, self-inflicted injuries and drug overdoses within the prescribers' health care system: a retrospective cohort study.

BACKGROUND AND AIM: Prescribers are commonly confronted with discontinuing opioid therapy among patients prescribed chronic opioid therapy (COT). This study aimed to measure the association between discontinuing COT and diagnoses of substance use disorders (SUDs) and opioid-related adverse outcomes (AOs). DESIGN: Retrospective cohort study. SETTING: United States Veterans Healthcare Administration. PARTICIPANTS: Veterans with chronic pain on COT who discontinued opioid therapy were compared with those continuing COT using data from fiscal years 2009 to 2015. MEASUREMENTS: Newly diagnosed substance use disorders (SUD composite; individual types: opioid, non-opioid drug and alcohol use disorders) and opioid-related adverse outcomes (AO composite; individual types: accidents resulting in wounds/injuries, opioid-related accidents/overdoses, alcohol and non-opioid medication-related accidents/overdoses, self-inflicted injuries and violence-related injuries) were evaluated. Primary analyses were conducted using 1:1 matching of discontinuers with those continuing COT based on propensity score and index date (±180-day window). Sensitivity analyses were conducted using logistic regressions with stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models. FINDINGS: A total of 15 695 (75.4%) and 17 337 (76.6%) discontinuers were matched with those continuing COT among the cohorts testing SUD and AO development respectively. In the primary propensity score matched analyses, the composite SUD outcome was not different between discontinuers and those continuing COT (OR = 0.932, 95% CI = 0.850, 1.022). The composite AO outcome was lower among discontinuers (OR = 0.660, 95% CI = 0.623, 0.699) compared with those continuing COT. SIPTW analyses found lower SUD (OR = 0.789, 95% CI = 0.743, 0.837), and AO (OR = 0.660, 95% CI = 0.623, 0.699) rates among discontinuers. IV models found mixed and sometimes contradictory results. CONCLUSIONS: Discontinuing patients from chronic opioid therapy appears to be associated with decreased diagnoses for opioid-related adverse outcomes. The association with substance use disorders appears to be inconclusive.

A program evaluation of Arkansas Improving Multidisciplinary Pain Care and Treatment (AR-IMPACT).

OBJECTIVE: Arkansas Improving Multidisciplinary Pain Care and Treatment (AR-IMPACT) is an interprofessional team that delivers televideo case conferences to help providers optimize treatment of pain using nonopioid, evidence-based therapies. This article assesses AR-IMPACT using the RE-AIM (reach, efficacy, adoption, implementation, maintenance) framework. DESIGN: A cross-sectional study. SETTING: Large, academic medical center. PARTICIPANTS: Healthcare providers. INTERVENTIONS: Televideo case conferences. MAIN OUTCOME MEASURES: Reach was evaluated by the number of participants, professions represented, and counties/states in which providers resided. Efficacy was assessed via a participant evaluation survey. Adoption was evaluated by calculating the number of repeat participants and soliciting information on barriers to adoption of conference recommendations in clinical practice using the participant evaluation survey. Implementation was evaluated by calculating the time and cost burden of the program. RESULTS: Reach was widespread; continuing education (CE) credits have been claimed by 395 providers in 54 of the 75 counties in Arkansas and 18 states outside Arkansas. For efficacy, the majority of providers noted increases in their knowledge due to AR-IMPACT (89.6 percent). Like reach, adoption was also extensive; approximately 42 percent of AR-IMPACT participants attended more than one conference, and close to 56 percent of participants noted no barriers to adopting the changes discussed in the conferences. With implementation, the time requirements for developing a case conference ranged from 2 to 4 hours, and the cost per CE credit was $137, which is on par with other programs. CONCLUSIONS: AR-IMPACT was successful, particularly in reach and efficacy. Entities that implement programs similar to AR-IMPACT will likely experience extensive uptake by providers.

Anxiety, depressive, and trauma symptoms during the COVID-19 pandemic: Evaluating the role of disappointment with God.

BACKGROUND: The COVID-19 pandemic has led to pervasive social and economic disruptions. This cross-sectional investigation aimed to evaluate associations between religious/spiritual factors and mental health symptoms among community residents in a southern US state. In particular, we focused on perceptions of God's distance, a salient aspect of religious/spiritual struggle that has received little scrutiny in health research. METHODS: Participants included 551 respondents assessed during a period of gradual reopening but rising infection rates. Mental health outcomes were assessed using standardized measures of generalized anxiety, depression, and trauma symptoms. Perceptions of an affirming relationship with God, anger at God, and disappointment at God's distance were evaluated using an adapted version of the Attitudes-Toward-God Scale-9. RESULTS: In multivariate analyses that accounted for pandemic-related and demographic factors, positive relationships with God were related to diminished symptoms on all three mental heatlh indices (all p's ≤.003), whereas disappointment with God's distance was associated with more pronounced difficulties (all p's ≤.014). LIMTATIONS: The cross-sectional design precludes causal conclusions. CONCLUSIONS: Findings suggest that perceived relationships with God are tied to clinically relevant mental health outcomes during periods of major upheaval. Disappointment with God's distance may be an important, understudied dimension of religious/spiritual struggle meriting further investigation.

Association Between Pain Intensity and Discontinuing Opioid Therapy or Transitioning to Intermittent Opioid Therapy After Initial Long-Term Opioid Therapy: A Retrospective Cohort Study.

The purpose of this study was to evaluate changes in pain intensity among Veterans transitioning from long-term opioid therapy (LTOT) to either intermittent therapy or discontinuation compared to continued LTOT. Pain intensity was assessed using the Numeric Rating Scale in 90-day increments starting in the 90-day period prior to potential opioid transitions and the two ensuing 90-day periods after transition. Primary analyses used a 1:1 greedy propensity matched sample. A total of 29,293 Veterans switching to intermittent opioids and 5,972 discontinuing opioids were matched to Veterans continuing LTOT. Covariates were well balanced after matching except minor differences in baseline mean pain scores. Pain scores were lower in the follow up periods for those switching to intermittent opioids and discontinuing opioids compared to those continuing LTOT (0-90 days: Intermittent: 3.79, 95%CI: 3.76, 3.82; LTOT: 4.09, 95%CI: 4.06, 4.12, P < .0001; Discontinuation: 3.06, 95%CI: 2.99, 3.13; LTOT: 3.86, 95%CI: 3.79, 3.94, P = <.0001; 91-180 days: Intermittent: 3.76, 95%CI: 3.73, 3.79; LTOT: 3.99, 95%CI: 3.96, 4.02, P < .0001; Discontinuation: 3.01, 95%CI: 2.94, 3.09; LTOT: 3.80, 95%CI: 3.73, 3.87, P = <.0001). Sensitivity analyses found similar results. Discontinuing opioid therapy or switching to intermittent opioid therapy was not associated with increased pain intensity. PERSPECTIVE: This article evaluates the association of switching to intermittent opioid therapy or discontinuing opioids with pain intensity after using opioids long-term. Pain intensity decreased after switching to intermittent therapy or discontinuing opioids, but remained relatively stable for those continuing long-term opioid therapy. Switching to intermittent opioids or discontinuing opioids was not associated with increased pain intensity.

Enrollee Experience with Providers in the Arkansas Medicaid Expansion Program.

BACKGROUND: Patient ratings of their healthcare experience as a quality measure have become critically important since the implementation of the Affordable Care Act (ACA). The ACA enabled states to expand Medicaid eligibility to reduce uninsurance nationally. Arkansas gained approval to use Medicaid funds to purchase a qualified health plan (QHP) through the ACA marketplace for newly eligible beneficiaries. OBJECTIVE: We compare patient-reported satisfaction between fee-for-service Medicaid and QHP participants. DESIGN: The Consumer Assessment of Healthcare Providers and Systems (CAHPS) was used to identify differences in Medicaid and QHP enrollee healthcare experiences. Data were analyzed using a regression discontinuity design. PARTICIPANTS: Newly eligible Medicaid expansion participants enrolled in Medicaid during 2013 completed the Consumer Assessment of Health Providers and Systems (CAHPS) survey in 2014. Survey data was analyzed for 3156 participants (n = 1759 QHP/1397 Medicaid). MEASURES: Measures included rating of personal and specialist provider, rating of all healthcare received, and whether the provider offered to communicate electronically. Demographic and clinical characteristics of the enrollees were controlled for in the analyses. METHODS: Regression-discontinuity analysis was used to evaluate differential program effects on positive ratings as measured by the CAHPS survey while controlling for demographic and health characteristics of participants. KEY RESULTS: Adjusted logistic regression models for overall healthcare (OR = 0.71, 95%CI = 0.56-0.90, p = 0.004) and personal doctor (OR = 0.68, 95%CI = 0.53-0.87, p = 0.002) predicted greater satisfaction among QHP versus Medicaid participants. Results were not significant for specialists or for use of electronic communication with provider. CONCLUSIONS: Using a quasi-experimental statistical approach, we were able to control for observed and unobserved heterogeneity showing that among participants with similar characteristics, including income, QHP participants rated their personal providers and healthcare higher than those enrolled in Medicaid. Access to care, utilization of care, and healthcare and health insurance literacy may be contributing factors to these results.

Veterans self-reported reasons for non-attendance in psychotherapy for posttraumatic stress disorder.

This study explored rates of non-attendance (i.e., non-initiation, inconsistent attendance, early discontinuation) in cognitive processing therapy (CPT) and other posttraumatic stress disorder (PTSD) focused individual and group psychotherapies (i.e., interventions with at least some PTSD and/or trauma-related content) and characterized veterans' self-reported reasons for non-attendance in these treatments. Baseline and 6-month follow-up data from the Telemedicine Outreach for PTSD study, a pragmatic randomized effectiveness trial conducted in 11 Veterans Health Administration community-based outpatient clinics, was examined (N = 265 veterans). Over 90% of veterans with a scheduled psychotherapy appointment attended at least one appointment by 6-month follow-up. Self-reported treatment completion was higher for veterans attending individual CPT (25%) than for those attending PTSD-focused individual (4.4%) and group psychotherapy (15.5%). However, rates of inconsistent attendance (13.3%) and early discontinuation (18.3%) were also higher in veterans attending CPT when compared to other forms of PTSD-focused psychotherapy (inconsistent attendance-individual: 2.2%, group: 6.9%; early discontinuation-individual: 14.6%; group: 10.3%). Issues with scheduling appointments was one of the most frequently reported reasons for non-attendance across treatments (> 20%). Logistical barriers, including transportation (CPT), therapy taking too much time (PTSD-focused individual psychotherapy) and not being able to afford counseling (PTSD-focused group psychotherapy), were also commonly cited (i.e., > 15%). Those scheduled to attend CPT (26%) or PTSD-focused individual psychotherapy (11%) also cited treatment efficacy concerns as a reason for non-attendance. Findings suggest logistical barriers, particularly scheduling convenient appointments, and beliefs about treatment may be important to address when engaging veterans in psychotherapy for PTSD. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Improving quality of life assessments for high-need adult Medicaid service users with mental health conditions.

PURPOSE: There is a lack of consensus on how to evaluate health and social service programs for people with mental health (MH) conditions. Having service users be the primary decision makers in selecting outcome measures can inform a meaningful evaluation strategy. We sought to identify the quality of life (QoL) survey preferences of high-need adult service users with MH conditions. METHODS: A systematic review identified generic, self-reported QoL surveys with evidence of validity in MH populations of interest. An advisory panel selected the most promising surveys to assess the success of programs like Medicaid for MH service users. Three groups of high-need, adult service users with MH conditions and one group of direct care staff ranked the surveys from the advisory panel, and generated and ranked characteristics that were desirable or undesirable in a QoL survey. RESULTS: Twenty-two surveys met the inclusion criteria. Of the six surveys selected by the advisory panel, groups of service users and direct care staff most preferred the Warwick-Edinburg Mental Well-being Scale (WEMWBS). The WEMWBS best embodied the features prioritized by the groups: to have a user-friendly format and positive focus, to be clearly worded and brief, and to avoid presumptive or unrealistic items. Service user groups appreciated survey topics most amenable to self-report, such as satisfaction with relationships. CONCLUSION: Using QoL surveys that service users prefer can reduce the chance that deteriorating QoL is going unchecked, and increase the chance that decisions based on survey findings are meaningful to service users.

"It's been like a miracle": Low-income Arkansans and access to health care services following Medicaid reform.

This article reports qualitative results from a mixed-methods evaluation of the Arkansas Health Care Independence Program. Qualitative data was collected using telephone interviews with 24 low-income Arkansans newly enrolled in Medicaid or a Qualified Health Plan in 2014. We used methods developed for rapid qualitative assessment to explore a range of general barriers and facilitators to accessing health care services. Secondary analysis guided by the most significant change technique aided in the construction of case summaries that permitted insights into participants' experiences of managing their health over time. Barriers to accessing health care services included treatment costs, beliefs and values related to health, limited health literacy, poor quality health care, provider stigma, and difficulties that made travel challenging. For 1 participant who was no longer eligible for Medicaid or a QHP, lacking health care coverage was also problematic. Facilitators included having health care coverage, life experiences that re-enforced the value of prevention, health literacy, and enhanced health care services. Low-income Arkansans experiences accessing health care elucidate access as multi-dimensional, involving not only the availability of affordable services, but treatment effectiveness and patient experiences interacting with providers and clinic staff. We use these findings to formulate recommendations for programs and policies aimed at further increasing access to high-quality health care as a strategy for reducing health disparities.

Mental health outcomes associated with the COVID-19 pandemic: Prevalence and risk factors in a southern US state.

The COVID-19 pandemic has had a dramatic effect on the functioning of individuals and institutions around the world. This cross-sectional registry-based study examined some of the burdens of the pandemic, the prevalence of mental health difficulties, and risk factors for psychosocial morbidity among community residents in Arkansas. The study focused on a period of gradual reopening but rising infection rates. The investigation included validated screening measures of depressive symptoms (PHQ-9), generalized anxiety (GAD-7), trauma-related symptoms (PCL-5), and alcohol use (AUDIT-C). A notable percentage of participants reported elevated symptoms on each of these outcomes. In separate multivariable analyses that accounted for a number of demographic and pandemic-related covariates, individuals who reported greater pandemic-related disruption in daily life, and those with a prior history of mental health concerns, were more likely to screen positive for depressive, anxiety and trauma-related symptoms. Findings illuminate burdens experienced by community residents during a period of phased reopening, and offer a foundation for future screening and intervention initiatives.

Impact of opioid dose escalation on the development of substance use disorders, accidents, self-inflicted injuries, opioid overdoses and alcohol and non-opioid drug-related overdoses: a retrospective cohort study.

AIM: To understand the potential harmful effects of dose escalation among patients with chronic, non-cancer pain (CNCP) on chronic opioid therapy. DESIGN: Retrospective cohort study. SETTING: United States Veterans Healthcare Administration. PARTICIPANTS: Veterans with CNCP and on chronic opioid therapy were identified using data from fiscal years 2008-15. The Veteran sample was approximately 90% male and 70% white. MEASUREMENTS: Dose escalators [increase of > 20% average morphine milligram equivalent (MME) daily dose] were compared with dose maintainers (change of ±20% average MME daily dose). A composite measure of subsequent substance use disorders (SUDs: opioid, non-opioid and alcohol use disorders) and opioid-related adverse outcomes (AOs: accidents resulting in wounds/injuries, opioid-related and alcohol and non-opioid medication-related accidents and overdoses, self-inflicted injuries) as well as the individual SUDs and AOs was examined. The primary analyses were conducted among a 1 : 1 matched sample of escalators and maintainers matched on propensity score and index date. Propensity scores were generated using demographic characteristics, medical comorbidities, medication and health-care utilization characteristics. Subgroup analyses were conducted by quartile of the propensity score. Sensitivity analyses were conducted using adjusted logistic regression, logistic regression using stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models using geographic variation in opioid dose escalation as the IV. FINDINGS: There were 32 420 maintainers and 20 767 escalators resulting in 19 358 (93.2%) matched pairs. Composite AOs [odds ratio (OR) = 1.31, 95% confidence interval (CI) = 1.23, 1.40], composite SUDs (OR = 1.31, 95% CI = 1.22, 1.41) and individual SUD and AO subtypes were higher among dose escalators, except for opioid-related accidents and overdoses and violence-related injuries. Subgroup analyses within the propensity score quartiles found similar results. Sensitivity analyses with the adjusted and SIPTW logistic regressions found similar results to the primary analyses for all outcomes except for opioid-related accidents and overdoses, which were found to be significantly higher among escalators. Sensitivity analyses with IV models provided mixed results with SUDs and the individual types of AOs. CONCLUSION: Escalating the opioid dose for those with chronic, non-cancer pain is associated with increased risks of substance use disorder and opioid-related adverse outcomes.