Post-hospitalization Care Transition Strategies for Patients with Substance Use Disorders: A Narrative Review and Taxonomy.

Hospitalizations represent important opportunities to engage individuals with substance use disorders (SUD) in treatment. For those who engage with SUD treatment in the hospital setting, tailored supports during post-discharge transitions to longitudinal care settings may improve care linkages, retention, and treatment outcomes. We updated a recent systematic review search on post-hospitalization SUD care transitions through a structured review of published literature from January 2020 through June 2023. We then added novel sources including a gray literature search and key informant interviews to develop a taxonomy of post-hospitalization care transition models for patients with SUD. Our updated literature search generated 956 abstracts not included in the original systematic review. We selected and reviewed 89 full-text articles, which yielded six new references added to 26 relevant articles from the original review. Our search of five gray literature sources yielded four additional references. Using a thematic analysis approach, we extracted themes from semi-structured interviews with 10 key informants. From these results, we constructed a taxonomy consisting of 10 unique SUD care transition models in three overarching domains (inpatient-focused, transitional, outpatient-focused). These models include (1) training and protocol implementation; (2) screening, brief intervention, and referral to treatment; (3) hospital-based interdisciplinary consult team; (4) continuity-enhanced interdisciplinary consult team; (5) peer navigation; (6) transitional care management; (7) outpatient in-reach; (8) post-discharge outreach; (9) incentivizing follow-up; and (10) bridge clinic. For each model, we describe design, scope, approach, and implementation strategies. Our taxonomy highlights emerging models of post-hospitalization care transitions for patients with SUD. An established taxonomy provides a framework for future research, implementation efforts, and policy in this understudied, but critically important, aspect of SUD care.

Directly Observed Care: Crossing the Chasm of Quality Measurement.

After more than two decades of national attention to quality improvement in US healthcare, significant gaps in quality remain. A fundamental problem is that current approaches to measure quality are indirect and therefore imprecise, focusing on clinical documentation of care rather than the actual delivery of care. The National Academy of Medicine (NAM) has identified six domains of quality that are essential to address to improve quality: patient-centeredness, equity, timeliness, efficiency, effectiveness, and safety. In this perspective, we describe how directly observed care-a recorded audit of clinical care delivery-may address problems with current quality measurement, providing a more holistic assessment of healthcare delivery. We further show how directly observed care has the potential to improve each NAM domain of quality.

Increasing Access to Buprenorphine for Opioid Use Disorder in Primary Care: an Assessment of Provider Incentives.

BACKGROUND: Primary care providers (PCPs) are essential to increasing access to office-based buprenorphine medication treatment for opioid use disorder (B-MOUD). Barriers to B-MOUD prescribing are well-documented, but there is little information regarding incentives to overcome these barriers. OBJECTIVE: To identify optimal incentives for PCPs to promote B-MOUD prescribing and compare incentive preferences across provider and practice characteristics. DESIGN: We surveyed PCPs using best-worst scaling (BWS) to prioritize seven potential incentives for B-MOUD prescribing (monetary compensation, paid vacation, protected time, professional development, reduced workload, service recognition, clinical resources). We then used a direct elicitation approach to determine preferred incentive levels (e.g., monetary thresholds) and types (e.g., specific clinical resources). PARTICIPANTS: Primary care physicians and advanced practice providers (APPs) at a large Department of Veterans Affairs healthcare system. MAIN MEASURES: B-MOUD prescribing incentive preferences and relative preference levels using descriptive statistics and conditional logistic regression with relative importance scale transformation (coefficients sum to 100, higher coefficient=greater importance). KEY RESULTS: Fifty-three PCPs responded (73% response), including 47% APPs and 36% from community-based clinics. Reduced workload (relative importance score=26.8), protected time (18.7), and clinical resources (16.8) were significantly more preferred (Ps < 0.001) than professional development (10.5), paid vacation (10.3), or service recognition (1.5). Relative importance of monetary compensation varied between physicians (12.6) and APPs (17.5) and between PCPs located at a medical center (11.4) versus community clinic (22.3). APPs were more responsive than physicians to compensation increases of $5000 and $12,000 but less responsive to $25,000; trends were similar for medical center versus community clinic PCPs. The most frequently requested clinical resource was on-demand consult access to an addiction specialist. CONCLUSIONS: Interventions promoting workload reductions, protected time, and clinical resources could increase access to B-MOUD in primary care. Monetary incentives may be additionally needed to improve B-MOUD prescribing among APPs and within community clinics.

Trends in Health Service Utilization After Enrollment in an Interdisciplinary Primary Care Clinic for Veterans with Addiction, Social Determinants of Health, or Other Vulnerabilities.

BACKGROUND: Models of interdisciplinary primary care (IPC) may improve upon traditional primary care approaches in addressing addiction and social determinants of health. OBJECTIVE: To compare the trends in health care utilization in the year before and after enrollment in an IPC clinic model, and explore the variations in temporal patterns for patients with histories of high emergency department (ED) use, homelessness, and/or substance use disorders (SUDs). DESIGN AND PARTICIPANTS: Interrupted time series study of utilization among IPC patients. MAIN MEASURES: Quarterly ED, inpatient, primary care, and behavioral health visits were abstracted from administrative data before and after IPC enrollment. Negative binomial segmented regressions estimated changes in health care utilization over time. We used interactions to test for statistical differences in temporal patterns for IPC subgroups. RESULTS: Among IPC patients (n=994), enrollment was associated with overall reductions in ED, inpatient, and behavioral health visits (p's<0.001) and increases in primary care (p's<0.001). Temporal patterns of ED visits, hospitalizations, and behavioral health differed across IPC subgroups (interaction p's<0.001). For those with histories of high ED use (n=265), ED, inpatient, and behavioral health visits decreased after enrollment (level change incidence rate ratios [IRRs]=0.57-0.69) and continued to decline over time (post-enrollment IRRs=0.80-0.88). Among other patients with homeless experiences (n=123), there were initial declines in hospitalizations (IRR=0.33) and overall declines in behavioral health visits (level change and post-enrollment IRRs=0.46-0.94). Other patients with SUDs had initial declines in hospitalizations (IRR=0.46), and post-enrollment declines in rates of specialty SUD visits (IRR=0.92). For all patients, primary care visits initially increased (level change IIRs=2.47-1.34) then gradually declined (post-enrollment IRRs=0.92-0.92). CONCLUSIONS: An IPC model of care reduces acute care and behavioral health service use, particularly for patients with historically high ED use. IPC models may improve patient and system outcomes of vulnerable patient populations with social, clinical, and addiction morbidities.

Care Practices of Mental Health Clinical Pharmacist Practitioners Within an Interdisciplinary Primary Care Model for Patients With Substance Use Disorders.

BACKGROUND: Clinical pharmacist practitioners (CPPs) play an increasingly important role in interdisciplinary care for patients with substance use disorders (SUDs). However, CPPs' scope of practice varies substantially across clinics and settings. OBJECTIVES: We sought to describe CPP practices and activities within an interdisciplinary, team-based primary care clinic dedicated to treat Veterans with histories of substance use disorders, experience of homelessness, high medical complexity, and other vulnerabilities. METHODS: We conducted a retrospective cohort study of CPP activities using Department of Veterans Affairs (VA) administrative data in 2019. RESULTS: CPPs provided care for 228 patients, including 766 in-clinic visits, 341 telephone visits, and 626 chart reviews, with an average of 2.5 hours spent per patient per year. Patients seen by CPPs frequently experience mental health conditions and SUDs, including depression (66%), post-traumatic stress disorder (52%), opioid use disorder (OUD) (45%), and alcohol use disorder (44%). CPPs managed buprenorphine medications for OUD or chronic pain in 76 patients (33%). Most CPP interventions (3330 total) were for SUDs (33%), mental health conditions (24%), and pain management (24%), with SUD interventions including medication initiation, dose changes, discontinuations and monitoring. As part of opioid risk mitigation efforts, CPPs queried the state's prescription drug monitoring program 769 times and ordered 59 naloxone kits and 661 lab panels for empaneled patients. CONCLUSION: CPPs managed a high volume of vulnerable patients and provided complex care within an interdisciplinary primary care team. Similar CPP roles could be implemented in other primary care settings to increase access to SUD treatment.

Champions Among Us: Leading Primary Care to the Forefront of Opioid Use Disorder Treatment.

Despite more than a decade of investment in opioid use disorder (OUD) treatment infrastructure, the year 2020 saw the highest mortality related to opioid overdose in American history. Treatment access remains critically limited, with less than half of people living with OUD receiving any treatment. Primary care has been referred to as the "sleeping giant" of addiction care, as few primary care doctors currently prescribe medications to treat OUD. The "clinical champions" framework is a tool that has shown promise in creating the type of mentorship and culture change necessary to expand uptake of medication-based OUD treatment among primary care providers. The early success of this model and the increased availability of tools for broad implementation warrant further investment as a means of leading primary care into a larger role in combatting the opioid addiction epidemic.

Are x-waiver trainings enough? Facilitators and barriers to buprenorphine prescribing after x-waiver trainings.

BACKGROUND: In the United States, an x-waiver credential is necessary to prescribe buprenorphine medication treatment for opioid use disorder (B-MOUD). Historically, this process has required certified training, which could be a barrier to obtaining an x-waiver and subsequently prescribing. To address this barrier, the US recently removed the training requirement for some clinicians. We sought to determine if clinicians who attended x-waiver training went on to obtain an x-waiver and prescribe B-MOUD, and to examine what facilitated or impeded B-MOUD prescribing. METHODS: In September 2020, we conducted a cross-sectional, electronic survey of attendees of 15 in-person x-waiver pieces of training from June 2018 to January 2020 within the Veterans Health Administration (VHA). Of the attendees (n = 321), we surveyed current VHA clinicians who recalled taking the training. The survey assessed whether clinicians obtained the x-waiver, had prescribed B-MOUD, and barriers or facilitators that influenced B-MOUD prescribing. RESULTS: Of 251 eligible participants, 62 (24.7%) responded to the survey, including 27 (43.5%) physicians, 16 (25.8%) advanced practice clinicians, and 12 (19.4%) pharmacists. Of the 43 clinicians who could prescribe, 29 (67.4%) had obtained their x-waiver and 16 (37.2%) had reported prescribing B-MOUD. Prominent barriers to prescribing B-MOUD included a lack of supporting clinical staff and competing demands on time. The primary facilitator to prescribing was leadership support. CONCLUSION AND SCIENTIFIC SIGNIFICANCE: Nine months after x-waiver training, two-thirds of clinicians with prescribing credentials had obtained their x-waiver and one-third were prescribing B-MOUD. Removing the x-waiver training may not have the intended policy effect as other barriers to B-MOUD prescribing persist.

Attitudes, self-efficacy, and practices related to opioid risk assessment and mitigation: A comparison of health care professionals in rural communities.

Background: Health care professionals (HCPs) play an important role in opioid misuse and opioid use disorder (OUD) screening/identification, mitigation, and referral to treatment. This study compared attitudes, self-efficacy, and practices related to opioid risk assessment and mitigation among pregnancy and non-pregnancy HCPs in rural communities. Methods: We conducted a secondary analysis of cross-sectional, self-report survey data of HCPs in two rural counties in southern Utah. Pregnancy HCPs were identified by a question asking whether they provide care to pregnant patients. HCPs' attitudes toward their patients with opioid misuse/OUD were measured using the Survey of Attitudes and Perceptions questionnaire. Self-efficacy and practices related to opioid risk assessment and mitigation were captured with questions asking about assessment and screening of opioid use, advisement to change opioid use behavior, and referral to treatment for OUD. We used linear regression analyses to estimate associations between HCPs' attitudes toward patients with opioid misuse/OUD and their self-efficacy and use of opioid risk assessment and mitigation practices. Results: This sample included a total of 132 HCPs, including 82 pregnancy HCPs and 50 non-pregnancy HCPs. Attitudes domains were similar among pregnancy and non-pregnancy HCPs. Among pregnancy HCPs, role adequacy (ß = .48, 95% CI = .16-.80), role legitimacy (ß = .72, 95% CI = .21-1.22), motivation (ß = .68, 95% CI = .14-1.21), and positive task-specific self-esteem (ß = 1.52, 95% CI = .70-2.35) were positively associated with more frequent use of opioid risk assessment and mitigation practices, while attitudes were not associated with these practices among non-pregnancy HCPs. Conclusions: Training initiatives that lead to improved HCP attitudes could improve opioid care management among rural pregnancy HCPs. More research is needed to determine approaches to increase the use of opioid risk assessment and mitigation practices among rural non-pregnancy HCPs.

Patient-centered quality measurement for opioid use disorder: Development of a taxonomy to address gaps in research and practice.

Background: Evidence-based treatment is provided infrequently and inconsistently to patients with opioid use disorder (OUD). Treatment guidelines call for high-quality, patient-centered care that meets individual preferences and needs, but it is unclear whether current quality measures address individualized aspects of care and whether measures of patient-centered OUD care are supported by evidence. Methods: We conducted an environmental scan of OUD care quality to (1) evaluate patient-centeredness in current OUD quality measures endorsed by national agencies and in national OUD treatment guidelines; and (2) review literature evidence for patient-centered care in OUD diagnosis and management, including gaps in current guidelines, performance data, and quality measures. We then synthesized these findings to develop a new quality measurement taxonomy that incorporates patient-centered aspects of care and identifies priority areas for future research and quality measure development. Results: Across 31 endorsed OUD quality measures, only two measures of patient experience incorporated patient preferences and needs, while national guidelines emphasized providing patient-centered care. Among 689 articles reviewed, evidence varied for practices of patient-centered care. Many practices were supported by guidelines and substantial evidence, while others lacked evidence despite guideline support. Our synthesis of findings resulted in EQuIITable Care, a taxonomy comprised of six classifications: (1) patient Experience and engagement, (2) Quality of life; (3) Identification of patient risks; (4) Interventions to mitigate patient risks; (5) Treatment; and (6) Care coordination and navigation. Conclusions: Current quality measurement for OUD lacks patient-centeredness. EQuIITable Care for OUD provides a roadmap to develop measures of patient-centered care for OUD.

Opioid use disorder Cascade of care framework design: A roadmap.

Unintentional overdose deaths, most involving opioids, have eclipsed all other causes of US deaths for individuals less than 50 years of age. An estimated 2.4 to 5 million individuals have opioid use disorder (OUD) yet a minority receive treatment in a given year. Medications for OUD (MOUD) are the gold standard treatment for OUD however early dropout remains a major challenge for improving clinical outcomes. A Cascade of Care (CoC) framework, first popularized as a public health accountability strategy to stem the spread of HIV, has been adapted specifically for OUD. The CoC framework has been promoted by the NIH and several states and jurisdictions for organizing quality improvement efforts through clinical, policy, and administrative levers to improve OUD treatment initiation and retention. This roadmap details CoC design domains based on available data and potential linkages as individual state agencies and health systems typically rely on limited datasets subject to diverse legal and regulatory requirements constraining options for evaluations. Both graphical decision trees and catalogued studies are provided to help guide efforts by state agencies and health systems to improve data collection and monitoring efforts under the OUD CoC framework.

ReHouSED: A novel measurement of Veteran housing stability using natural language processing.

Housing stability is an important determinant of health. The US Department of Veterans Affairs (VA) administers several programs to assist Veterans experiencing unstable housing. Measuring long-term housing stability of Veterans who receive assistance from VA is difficult due to a lack of standardized structured documentation in the Electronic Health Record (EHR). However, the text of clinical notes often contains detailed information about Veterans' housing situations that may be extracted using natural language processing (NLP). We present a novel NLP-based measurement of Veteran housing stability: Relative Housing Stability in Electronic Documentation (ReHouSED). We first develop and evaluate a system for classifying documents containing information about Veterans' housing situations. Next, we aggregate information from multiple documents to derive a patient-level measurement of housing stability. Finally, we demonstrate this method's ability to differentiate between Veterans who are stably and unstably housed. Thus, ReHouSED provides an important methodological framework for the study of long-term housing stability among Veterans receiving housing assistance.

Aims, development, and early results of an interdisciplinary primary care initiative to address patient vulnerabilities.

Addressing substance use disorders and social determinants of poor health at a population level is a major national healthcare priority. One promising model to improve healthcare outcomes for patients with these conditions is the Vulnerable Veteran Innovative Patient-Aligned Care Team (PACT) Initiative, or VIP - an interdisciplinary, team-based primary care delivery model designed to address the needs of vulnerable patients in the Veterans Health Administration. VIP establishes a single, integrated primary care environment for the management of substance use disorders, mental illness, social determinants of poor health, and complexities in care resulting from the co-occurrence of these conditions. We describe the origination, goals, and evolution of VIP to provide an example of how clinics and health systems can address vulnerable patient populations within a primary care clinic framework. While ongoing evaluation will be essential to understand its impact on patient outcomes and its sustainability and scalability in the future, VIP holds promise as a novel model to improve care for patients with addiction and other vulnerabilities.

Engagement with Health Risk Assessments and Commitment to Healthy Behaviors in Michigan's Medicaid Expansion Program.

BACKGROUND: Health risk assessments (HRAs) and healthy behavior incentives are increasingly used by state Medicaid programs to promote enrollees' health. OBJECTIVE: To evaluate enrollee experiences with HRAs and healthy behavior engagement in the Healthy Michigan Plan (HMP), a state Medicaid expansion program. DESIGN: Telephone survey conducted in Michigan January-October 2016. PARTICIPANTS: A random sample of HMP enrollees aged 19-64 with ≥ 12 months of enrollment, stratified by income and geographic region. MAIN MEASURES: Self-reported completion of an HRA, reasons for completing an HRA, commitment to a healthy behavior, and choice of healthy behavior. KEY RESULTS: Among respondents (N = 4090), 49.3% (95% CI 47.3-51.2%) reported completing an HRA; among those with a primary care provider (PCP) (n = 3851), 85.2% (95% CI 83.5-86.7%) reported visiting their PCP during the last 12 months. Most enrollees having a recent PCP visit reported discussing healthy behaviors with them (91.1%, 95% CI 89.6-92.3%) and were more likely to have completed an HRA than enrollees without a recent PCP visit (52.7%, 95% CI 50.5-52.8% vs. 36.2%, 95% CI 31.7-41.1%; p < 0.01). Among enrollees completing an HRA, nearly half said they did it because their PCP suggested it (45.9%, 95% CI 43.2-48.7%), and most reported it helped their PCP understand their health needs (89.7%). Awareness of financial incentives was limited (28.1%, 95% CI 26.3-30.0%), and very few reported it as the primary reason for HRA completion (2.5%, 95% CI 1.8-3.4%). Most committed to a healthy behavior (80.7%, 95% CI 78.5-82.8%), and common behaviors chosen were nutrition/diet (57.2%, 95% CI 54.2-60.2%) and exercise/activity (52.6%, 95% CI 49.5-55.7%). CONCLUSIONS: In the Healthy Michigan Plan, PCPs appeared influential in enrollees' completion of HRAs and healthy behavior engagement, while knowledge of financial incentives was limited. Additional study is needed to understand the relative importance of financial incentives and PCP engagement in impacting healthy behaviors in state Medicaid programs.

Diabetes Management in Community Health Centers: a Review of Policies and Programs.

PURPOSE OF REVIEW: Community health centers (CHCs) provide care to millions of vulnerable patients in the USA, including a disproportionate number with diabetes. Policies affecting diabetes management in CHCs therefore have broad implications for clinical practice and patient outcomes nationwide. We describe prior policies that have influenced diabetes management in CHCs, discuss current policies and programs, as well as present emerging innovations and future directions for diabetes care in this setting. RECENT FINDINGS: Domains for current diabetes policies and programs in CHCs include coverage requirements, quality reporting and incentives, prescription discounts, healthy behavior incentives, and team-based care. Policies in these areas affect the management of diabetes at multiple levels, from organizations that support CHCs to individual health centers, and the providers and patients based there. Several domains of interrelated policies and programs impact CHC diabetes management at multiple levels. Stakeholders' understanding of these policies and programs may identify opportunities to improve diabetes care.

Changes in Veterans' Coverage and Access to Care Following the Affordable Care Act, 2011-2017.

Objectives. To evaluate the effect of the Affordable Care Act (ACA) on US veterans' access to care.Methods. We used US Behavioral Risk Factor Surveillance System data to compare measures of veterans' coverage and access to care, including primary care, for 3-year periods before (2011-2013) and after (2015-2017) ACA coverage provisions went into effect. We used difference-in-differences analyses to compare changes in Medicaid expansion states with those in nonexpansion states.Results. Coverage increased and fewer delays in care were reported in both expansion and nonexpansion states after 2014, with larger effects among low socioeconomic status (SES) and poor health subgroups. Coverage increases were significantly larger in expansion states than in nonexpansion states. Reports of cost-related delays, no usual source of care, and no checkup within 12 months generally improved in expansion states relative to nonexpansion states, but improvements were small; changes were mixed among veterans with low SES or poor health.Conclusions. Increases in insurance coverage among nonelderly veterans after ACA coverage expansions did not consistently translate into improved access to care. Additional study is needed to understand persisting challenges in veterans' access to care.

Implementing the White House's Strategic Plan to Save Lives Amid the Opioid Crisis: Reaching for the "North Star".

This Viewpoint discusses the goals of the inaugural National Drug Control Strategy, which as the ambitious agenda of emphasizing harm reduction practices, medications for treating opioid use disorder, and criminal justice reform, as well as supporting long-term recovery and interrupting illicit drug trafficking.