Literature Collection

BACKGROUND: The opioid epidemic and subsequent mortality is a national concern in the U.S. The burden of this problem is disproportionately high among low-income and uninsured populations who are more likely to experience unmet need for substance use services. We assessed the impact of two Health Resources and Services Administration (HRSA) substance use disorder (SUD) service capacity grants on SUD staffing and service use in HRSA -funded health centers (HCs). METHODS AND FINDINGS: We conducted cross-sectional analyses of the Uniform Data System (UDS) from 2010 to 2017 to assess HC (n = 1,341) trends in capacity measured by supply of SUD and medication-assisted treatment (MAT) providers, utilization of SUD and MAT services, and panel size and visit ratio measured by the number of patients seen and visits delivered by SUD and MAT providers. We merged mortality and national survey data to incorporate SUD mortality and SUD treatment services availability, respectively. From 2010 to 2015, 20% of HC organizations had any SUD staff, had an average of one full-time equivalent SUD employee, and did not report an increase in SUD patients or SUD services. SUD capacity grew significantly in 2016 (43%) and 2017 (22%). MAT capacity growth was measured only in 2016 and 2017 and grew by 29% between those years. Receipt of both supplementary grants increased the probability of any SUD capacity by 35% (95% CI: 26%, 44%) and service use, but decreased the probability of SUD visit ratio by 680 visits (95% CI: -1,013, -347), compared to not receiving grants. CONCLUSIONS: The significant growth in HC specialized SUD capacity is likely due to supplemental SUD-specific HRSA grants and may vary by structure of grants. Expanding SUD capacity in HCs is an important step in increasing SUD access for low income and uninsured populations broadly and for patients of these organizations.

This executive summary highlights evidence-based recommendations for using lifestyle interventions in the treatment and remission of type 2 diabetes (T2D) and prediabetes in adults. The summary and guideline are intended for any clinician or healthcare professional in a community or non-inpatient healthcare setting involved in managing non-pregnant adults with T2D, prediabetes or a history of gestational diabetes mellitus (GDM). The purpose of this executive summary is to provide a succinct overview of the key action statements (recommendations) from Lifestyle Interventions for Treatment and Remission of Type 2 Diabetes and Prediabetes in Adults: A Clinical Practice Guideline from the American College of Lifestyle Medicine. This is the first diabetes guideline to emphasize lifestyle interventions as the foundation of management and is also the first to focus on all six pillars of lifestyle medicine (plant-predomination nutrition, regular physical activity, restorative sleep, stress reduction, social connectedness, and avoiding risky substances), including behavior change strategies. This summary is not intended to substitute for the full guideline, which should be read before taking the recommended actions. The guideline on which this summary is based was developed with a priori methodology that has been previously published, refined, and used in over 20 multidisciplinary, trustworthy, and evidence-based national guidelines. The guideline development group included 20 members representing consumers, advanced practice nursing, cardiology, clinical pharmacology, behavioral medicine, endocrinology, family medicine, lifestyle medicine, nutrition and dietetics, health education, health and wellness coaching, sleep medicine, sports medicine, and obesity medicine. We developed 14 key action statements and associated evidence profiles, each with a distinct quality improvement goal in the context of lifestyle interventions for T2D. Strong recommendations were made regarding advocacy for lifestyle interventions; assessing baseline lifestyle habits; establishing priorities for lifestyle change; prescribing aerobic and muscle strength physical activity; reducing sedentary time; identifying sleep disorders; prescribing nutrition plans for prevention and treatment; promoting peer/familial support and social connections; counseling regarding tobacco, alcohol, and recreational drugs, and establishing a plan for continuity of care. Recommendations were made regarding identifying the need for psychological interventions and for adjusting (deprescribing) pharmacologic therapy. We include numerous tables and figures to facilitate implementation, a plain-language summary for consumers, and an executive summary for clinicians as separate publications. Although not a substitute for the full clinical practice guideline, this executive summary can provide insight into the key guideline recommendations, to whom they apply, and to how they might alter care. These recommendations offer detailed, explicit, and evidence-based strategies for successful lifestyle behavior change, making them relevant not only to our guideline but to other guidelines and standards that advocate for lifestyle change in managing adults with T2D.

To mitigate morbidity and mortality of the drug-related overdose crisis, the Veterans Health Administration (VHA) can increase access to treatments that save lives-medications for opioid use disorder (MOUD). Despite an increasing need, MOUD continues to be underutilized due to multifaceted barriers that exist within broader macro- and microenvironments. To promote MOUD utilization, policymakers and healthcare leaders should (1) identify and implement person-centered MOUD delivery systems (e.g., the Medication First Model, community-informed design); (2) recognize and address MOUD delivery gaps (e.g., the Best-Practice in Oral Opioid Agonist Collaborative); (3) broaden the definition of the MOUD delivery system (e.g., access to MOUD in non-clinical settings); and (4) expand MOUD options (e.g., injectable opioid agonist therapy). Increasing access to MOUD is not a singular fix to the overdose-related crisis. It is, however, a possible first step to mitigate harm, and save lives.

Hospital readmission is a key quality metric, yet post-discharge interventions often yield variable results. In the first large-scale randomized evaluation of causal machine learning in a health system, we assessed whether a novel model (the Predicted Benefit Intervention (PBI) score) could identify lower-risk patients most likely to benefit from post-discharge care coordination within Kaiser Permanente Northern California (KPNC). From May to December 2022, 9959 low-risk patients at 19 KPNC hospitals were randomized to usual care or the Transitions Program, which included medication reconciliation, primary care follow-up scheduling, and weekly calls for 30 days. While 30-day readmissions declined in the intervention group (7.7% vs. 8.2%), the difference was not statistically significant. However, the observed-to-expected readmission ratio declined into randomization and remained low thereafter; this decline was statistically significant. This study demonstrates the feasibility of implementing causal machine learning at scale to improve targeting and resource allocation in care delivery.