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This study aimed to identify the strongest barriers and motivators associated with each step toward buprenorphine prescribing (1. obtaining a waiver, 2. beginning to prescribe, and 3. prescribing to more people) among a sample of Missouri-based medical professionals (N = 130). Item weights (number of endorsements times mean rank of the item's importance) were calculated based on their responses. Across groups, lack of access to psychosocial support services, need for higher levels of care, and clinical complexity were strong barriers. Among non-prescribers (n = 57, 46.3%), administrative burden, potential of becoming an addiction clinic, and concern about misuse and diversion were most heavily weighted. Among prescribers (n = 66, 53.7%), patients' inability to afford medications was a barrier across phases. Prominent motivators among all groups were the effectiveness of buprenorphine, improvement in other health outcomes, and a personal interest in treating addiction. Only prescribers reported the presence of institutional support and mentors as significant motivators.

Introduction The opioid crisis is a pervasive public health threat in the U.S. Simulation modeling approaches that integrate a systems perspective are used to understand the complexity of this crisis and analyze what policy interventions can best address it. However, limitations in currently available data sources can hamper the quantification of these models. Methods To understand and discuss data needs and challenges for opioid systems modeling, a meeting of federal partners, modeling teams, and data experts was held at the U.S. Food and Drug Administration in April 2019. This paper synthesizes the meeting discussions and interprets them in the context of ongoing simulation modeling work. Results The current landscape of national-level quantitative data sources of potential use in opioid systems modeling is identified, and significant issues within data sources are discussed. Major recommendations on how to improve data sources are to: maintain close collaboration among modeling teams, enhance data collection to better fit modeling needs, focus on bridging the most crucial information gaps, engage in direct and regular interaction between modelers and data experts, and gain a clearer definition of policymakers’ research questions and policy goals. Conclusions This article provides an important step in identifying and discussing data challenges in opioid research generally and opioid systems modeling specifically. It also identifies opportunities for systems modelers and government agencies to improve opioid systems models.

The devastating impact of the current opioid overdose crisis has led to new involvement of law enforcement officers. Training programs have focused on overdose recognition and response without targeting core attitudinal change by covering addiction or harm reduction principles.This study examined the impact of a comprehensive overdose education and naloxone distribution (OEND) training on officers' attitudes toward overdose victims, knowledge of and competence to respond to an opioid overdose, and concerns about using naloxone. The training included the common information about overdose recognition and response, with added components covering broader content about addiction and harm reduction principles and philosophies.A total of 787 (83% male) officers were administered surveys before and after attending a 2.5-3 hour comprehensive OEND training. Survey items measured overdose-related knowledge and attitudes, including attitudes about people who use drugs and who overdose.Following the training, participants' overdose-related knowledge and perceived competence to use naloxone improved. However, there were more nuanced changes in attitudes toward overdose victims: though 55.3% of officers reported more positive post-training attitudes, 31% reported more negative attitudes, and 13.7% reported no attitudinal change. Younger officers were most likely to report worsened attitudes. Improvements in attitudes toward overdose victims were associated with reductions in both naloxone-related concerns and risk compensation beliefs.Despite a comprehensive OEND training that addressed addiction and harm reduction and directly targeted hypothesized drivers of negative attitudes (e.g., risk compensation beliefs), some officers' attitudes worsened after the training. Randomized experiments of different training approaches would elucidate the mediators and moderators underlying these unexpected responses.

BackgroundOnline communities can provide social support for those recovering from opioid use disorder. However, advice-seekers on these platforms risk exposure to uncurated medical advice, potentially harming their health or recovery efforts. The objective of this analysis is to combine text annotation, social network analysis, and statistical modeling to identify advice-seekers on online social media for buprenorphine-naloxone use and study their characteristics.MethodsWe collected 5,258 posts and their comments from Reddit between 2014 and 2019. Among 202 posts which met our inclusion criteria, we annotated each post to determine which were advice-seeking (n=137) and not advice-seeking (n=65). We also annotated each posting user’s medication use stage and quantified their connectedness using social network analysis. In order to analyze the relationship between advice-seeking with a user’s social connectivity and medication use stage, we constructed four models which varied in explanatory variables.ResultsThe stepwise model (containing “total degree” (P=0.002), “using: inducting/tapering” (PConclusionsOur findings provide insights for the clinical care of people recovering from opioid use disorder and the nature of online medical advice-seeking overall. Clinicians should be especially attentive (e.g., through frequent follow-up) to patients who are inducting or tapering buprenorphine-naloxone or signal limited social support.

Background Leaders of Missouri's State Targeted Response to the opioid crisis (STR) grant have prioritized increasing access to treatment medications for opioid use disorder (MOUD) through a “Medication First” approach. This conceptual framework prioritizes rapid, sustained, low-barrier access to MOUD for optimal impact on decreased illicit drug use and mortality. Medication First principles and practices were facilitated through state-level structural changes and disseminated to participating community treatment programs via a multi-pronged, multi-disciplinary approach. In the first nine months of STR, 14 state-contracted treatment agencies operating 38 sites used STR funding to implement the Medication First model. Methods We utilized state billing and service data to make comparisons before and during STR on the following outcomes: MOUD utilization, timely access to MOUD, amount of psychosocial services delivered, treatment retention at 1, 3, and 6 months, and monthly price of treatment. We conducted follow-up analyses examining differences across MOUD types (no medication, methadone, buprenorphine, oral naltrexone, mixed antagonist + agonist, and extended release naltrexone). Results During STR, MOUD utilization increased (44.8% to 85.3%), timeliness of MOUD receipt improved (Median of 8 days vs. 0 days), there were fewer psychosocial services delivered, treatment retention improved at one, three, and six month timeframes, and the median cost per month was 21% lower than in the year prior to STR. All differences were driven by increased utilization of buprenorphine. Conclusions Findings suggest Medication First implementation through STR was successful in all targeted domains. Though much more work is needed to further reduce logistical, financial, and cultural barriers to improved access to maintenance MOUD, the steps taken through Missouri's STR grant show significant promise at making swift and drastic transformations to a system of care in response to a growing public health emergency.

Background: The opioid addiction and overdose crisis continues to ravage communities across the U.S. Maintenance pharmacotherapy using buprenorphine or methadone is the most effective intervention for Opioid Use Disorder (OUD), yet few have immediate and sustained access to these medications. Objectives: To address lack of medication access for people with OUD, the Missouri Department of Mental Health began implementing a Medication First (Med First) treatment approach in its publicly-funded system of comprehensive substance use disorder treatment programs. Methods: This Perspective describes the four principles of Med First, which are based on evidence-based guidelines. It draws conceptual comparisons between the Housing First approach to chronic homelessness and the Med First approach to pharmacotherapy for OUD, and compares state certification standards for substance use disorder (SUD) treatment (the traditional approach) to Med First guidelines for OUD treatment. Finally, the Perspective details how Med First principles have been practically implemented. Results: Med First principles emphasize timely access to maintenance pharmacotherapy without requiring psychosocial services or discontinuation for any reason other than harm to the client. Early results regarding medication utilization and treatment retention are promising. Feedback from providers has been largely favorable, though clinical- and system-level obstacles to effective OUD treatment remain. Conclusion: Like the Housing First model, Medication First is designed to decrease human suffering and activate the strengths and capacities of people in need. It draws on decades of research and facilitates partnerships between psychosocial and medical treatment providers to offer effective and life-saving care to persons with OUD.

BackgroundSince COVID-19 erupted in the United States, little is known about how state-level opioid overdose trends and decedent characteristics have varied throughout the country.ObjectiveInvestigate changes in annual overdose death rates, substances involved, and decedent demographics in opioid overdose deaths across nine states; assess whether 2019-2020 trends were emerging (i.e., change from 2019-2020 was non-existent from 2018-2019) or continuing (i.e., change from 2019-2020 existed from 2018-2019).DesignCross-sectional study using vital statistics data to conduct a retrospective analysis comparing 2020 to 2019 and 2019 to 2018 across nine states.SettingAlaska, Colorado, Connecticut, Indiana, Massachusetts, North Carolina, Rhode Island, Utah, and Wyoming.ParticipantsOpioid-related overdose deaths in 2018, 2019, and 2020.MeasurementsAnnual overdose death rate, proportion of overdose deaths involving specific substances, and decedent demographics (age, sex, race, and ethnicity).ResultsWe find emerging increases in annual opioid-related overdose death rates in Alaska (55.3% [P=0.020]), Colorado (80.2% [P<0.001]), Indiana (40.1% [P=0.038]), North Carolina (30.5% [P<0.001]), and Rhode Island (29.6% [P=0.011]). Decreased heroin-involved overdose deaths were emerging in Alaska (−49.5% [P=0.001]) and Indiana (−58.8% [P<0.001]), and continuing in Colorado (−33.3% [P<0.001]), Connecticut (−48.2% [P<0.001]), Massachusetts (39.9% [P<0.001]), and North Carolina (−34.8% [P<0.001]). Increases in synthetic opioid presence were emerging in Alaska (136.5% [P=0.019]) and Indiana (27.6% [P<0.001]), and continuing in Colorado (44.4% [P<0.001]), Connecticut (3.6% [P<0.05]), and North Carolina (14.6% [P<0.001]). We find emerging increases in the proportion of male decedents in Colorado (15.2% [P=0.008]) and Indiana (12.0% [P=0.013]).LimitationsDelays from state-specific death certification processes resulted in varying analysis periods across states.ConclusionThese findings highlight emerging changes in opioid overdose dynamics across different states, which can inform state-specific public health interventions.

Background: The opioid crisis is a complex problem associated with significant economic costs for healthcare systems and society. Simulation models have been developed to understand its complexity and to evaluate the potential costs of different strategies to address this problem. Methods: A systematic review of simulation-based economic evaluation (SBEE) studies in opioid research was initiated by searches in PubMed, EMBASE, and EbscoHOST. Extraction of a pre-defined set of items and a quality assessment were performed for each study. Results: The screening process resulted in 23 SBEE studies ranging by year of publication from 1999 to 2019. Methodological quality of the cost analyses was moderately high. The most frequently evaluated strategies were methadone and buprenorphine maintenance treatments; the only harm reduction strategy explored was naloxone distribution. These strategies were consistently found to be cost-effective, especially naloxone distribution and methadone maintenance. Prevention strategies were limited to abuse-deterrent opioid formulations. Most analyses (78%) assessed the cost-utility or cost-effectiveness of two or more interventions. Less than half (39%) adopted a societal perspective in their estimation of costs and effects from an opioid-related intervention. Consideration of patient and physician preference, changing costs, result stratification, or prevention was infrequent. High heterogeneity in study designs and outcomes precluded a meta-analysis. Conclusions: The review shows consistently favorable cost analysis findings for naloxone distribution strategies and opioid antagonist treatments (methadone or buprenorphine maintenance treatments against no naloxone distribution and no treatment, respectively). The review observes gaps in accounting for patient and physician preferences or major changes in medication prices.

Background and Aims: There are limited reports analyzing opioid overdose (OD) mortality data during the COVID-19 pandemic. There is also great heterogeneity in outcomes across states, necessitating assessments of the effects of COVID-19 on OD deaths on a state-by-state level. This report aims to analyze overall trends in OD deaths in Massachusetts during COVID-19. Design: Using individual-level death records in Massachusetts, we identified and analyzed OD mortality trends during the COVID-19 pandemic as compared to 2018 and 2019. We analyzed the period between March 24 (stay-at-home order in 2020) and August 11 (latest reliable data). We also estimated the correlation between OD deaths and COVID-19 case fatality rates at the county level. Setting: Massachusetts. Participants: A total of 2,342 OD deaths were analyzed. Measurements: The outcomes studied were OD deaths and COVID-19 case fatality rates. Findings: OD deaths involving cocaine and amphetamines increased from 2019 to 2020, by 20% (276 vs. 330; P

We present a preliminary theory of innovation in social work science. The focus of the piece is two case studies from our work that illustrate the social nature of innovations in the science of social work. This inductive theory focuses on a concept we refer to as transformative innovation, wherein two sets of individuals who possess different expertise and different network connections come together to solve a problem and in so doing transfer ideas from one network and field of expertise to the other. This transfer of ideas inevitably involves the transformation of ideas, such that the final innovation is something new to both groups of people, and as such innovative.

Background: Community survey data suggest high prevalence of substance use disorders among currently homeless individuals. There are less data regarding illicit drug and alcohol use problems of homeless-experienced persons engaged in primary care. They may have less severe use and require different care responses from primary care teams. Methods: The authors surveyed currently and formerly homeless, i.e., homeless-experienced, persons engaged in primary care at five federally funded programs in the United States, administering the World Health Organization (WHO) Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The ASSIST definitions of lower, moderate, and high risk were used to assess a spectrum of lifetime and recent substance use, from any use to likely dependence, and to identify sociodemographic and health status characteristics associated with severity of use. Results: Almost one half of the sample ( N = 601) had recently (within the past three months) used alcohol, and one third had recently used an illicit drug. The most commonly used illicit drugs in the past three months were cannabis (19%), cocaine (16%), and opioids (7.5%). Over one half (59%) of respondents had ASSIST-defined moderate- or high-risk substance use. A significant proportion (31%) of those identified as at moderate risk had no recent substance use, but did report past problematic use. Ten percent of the lower-risk group had past problematic use of alcohol. Severity of use was associated with worse health status, but not with housing status or type of homelessness experienced. Conclusions: Less severe (moderate-risk) use and past problematic use, potentially indicative of remitted substance use disorders, were more common than high-risk use in this primary care, homeless-experienced sample. These findings highlight the urgency of identifying effective ways to reduce risky substance use and prevent relapse in homeless-experienced persons.

Objective: Innovation will be key to the success of the Grand Challenges Initiative in social work. A structural systems framework based in system dynamics could be useful for considering how to advance innovation. Method: Diagrams using system dynamics conventions were developed to link common themes across concept papers written by social work faculty members and graduate students ( N = 19). Results: Transdisciplinary teams and ethical partnerships with communities and practitioners will be needed to responsibly develop high-quality innovative solutions. A useful next step would be to clarify to what extent factors that could “make or break” these partnerships arise from within versus outside of the field of social work and how this has changed over time. Conclusions: Advancing innovation in social work will mean making decisions in a complex, ever-changing system. Principles and tools from methods that account for complexity, such as system dynamics, can help improve this decision-making process.

Homeless patients face unique challenges in obtaining primary care responsive to their needs and context. Patient experience questionnaires could permit assessment of patient-centered medical homes for this population, but standard instruments may not reflect homeless patients' priorities and concerns.This report describes (a) the content and psychometric properties of a new primary care questionnaire for homeless patients; and (b) the methods utilized in its development.Starting with quality-related constructs from the Institute of Medicine, we identified relevant themes by interviewing homeless patients and experts in their care. A multidisciplinary team drafted a preliminary set of 78 items. This was administered to homeless-experienced clients (n=563) across 3 VA facilities and 1 non-VA Health Care for the Homeless Program. Using Item Response Theory, we examined Test Information Function (TIF) curves to eliminate less informative items and devise plausibly distinct subscales.The resulting 33-item instrument (Primary Care Quality-Homeless) has 4 subscales: Patient-Clinician Relationship (15 items), Cooperation among Clinicians (3 items), Access/Coordination (11 items), and Homeless-specific Needs (4 items). Evidence for divergent and convergent validity is provided. TIF graphs showed adequate informational value to permit inferences about groups for 3 subscales (Relationship, Cooperation, and Access/Coordination). The 3-item Cooperation subscale had lower informational value (TIF5) but had good internal consistency (α=0.75) and patients frequently reported problems in this aspect of care.Systematic application of qualitative and quantitative methods supported the development of a brief patient-reported questionnaire focused on the primary care of homeless patients and offers guidance for future population-specific instrument development.

Mental health workers with favorable attitudes toward empirically supported treatments (ESTs) are more likely to break through implementation barriers. The Evidence-Based Practice Attitudes Scale has been shown to be reliable for mental health workers, but has not been validated with addiction workers. This study investigates the use of the scale with a convenience sample of addiction workers from four agencies in one city. Results show that compared to mental health providers, addiction workers were more likely to view ESTs favorably if they were mandated and intuitively appealing. They also tended to rely more heavily on practical experience in forming attitudes toward treatment options. These results may help addiction agencies understand which types of workers are more likely to implement ESTs and inform effective engagement approaches specific to addiction workers.

Objectives. We compared homeless patients’ experiences of care in health care organizations that differed in their degree of primary care design service tailoring. Methods. We surveyed homeless-experienced patients (either recently or currently homeless) at 3 Veterans Affairs (VA) mainstream primary care settings in Pennsylvania and Alabama, a homeless-tailored VA clinic in California, and a highly tailored non-VA Health Care for the Homeless Program in Massachusetts (January 2011-March 2012). We developed a survey, the “Primary Care Quality-Homeless Survey," to reflect the concerns and aspirations of homeless patients. Results. Mean scores at the tailored non-VA site were superior to those from the 3 mainstream VA sites (P Conclusions. Tailored primary care service design was associated with a superior service experience for patients who experienced homelessness.

Measures Tri-morbidity was operationalized as meeting the following criteria: 1) probable mental illness or major psychiatric distress, based on reporting a diagnosis of post-traumatic stress disorder or schizophrenia, having ever taken psychiatric medication for a significant period of time, or a score of 30+ on the Colorado Symptom Index (range: 5– 70) [1]; 2) lifetime moderateor high-risk alcohol or illicit drug use, as measured using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) v. 3 [2]; and 3) reporting at least 1 of 14 physician-diagnosed chronic medical conditions. Primary care experience was measured using the Primary Care Quality-Homeless (PCQ-H) tool (range: 1–4) [3]. Social support was measured using the “strong ties” scale (range: 3–15) [4], which queries the degree to which persons are bothered by not having a close companion, enough friendships, or people to whom they feel close.

© 2015 PLOS ONE. The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA), one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366) were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005), with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H) questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score). Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons' needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers.

Background Homeless persons experience excess mortality, but US-based studies on this topic are outdated or lack information about causes of death. To our knowledge, no studies have examined shifts in causes of death for this population over time. Methods We assessed all-cause and cause-specific mortality rates in a cohort of 28 033 adults 18 years or older who were seen at Boston Health Care for the Homeless Program from January 1, 2003, through December 31, 2008. Deaths were identified through probabilistic linkage to the Massachusetts death occurrence files. We compared mortality rates in this cohort with rates in the 2003-2008 Massachusetts population and a 1988-1993 cohort of homeless adults in Boston using standardized rate ratios with 95% confidence intervals. Results A total of 1302 deaths occurred during 90 450 person-years of observation. Drug overdose (n = 219), cancer (n = 206), and heart disease (n = 203) were the major causes of death. Drug overdose accounted for one-third of deaths among adults younger than 45 years. Opioids were implicated in 81% of overdose deaths. Mortality rates were higher among whites than nonwhites. Compared with Massachusetts adults, mortality disparities were most pronounced among younger individuals, with rates about 9-fold higher in 25- to 44-year-olds and 4.5-fold higher in 45- to 64-year-olds. In comparison with 1988-1993 rates, reductions in deaths from human immunodeficiency virus (HIV) were offset by 3- and 2-fold increases in deaths owing to drug overdose and psychoactive substance use disorders, resulting in no significant difference in overall mortality. Conclusions The all-cause mortality rate among homeless adults in Boston remains high and unchanged since 1988 to 1993 despite a major interim expansion in clinical services. Drug overdose has replaced HIV as the emerging epidemic. Interventions to reduce mortality in this population should include behavioral health integration into primary medical care, public health initiatives to prevent and reverse drug overdose, and social policy measures to end homelessness.