Literature Collection

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.

The national shortage of child psychiatrists has resulted in the necessity of primary care providers (PCPs) managing increased mental health concerns of youth. The Wisconsin Child Psychiatry Consultation Program (WI CPCP) is one of several programs throughout the United States which provide PCPs with education, consultation, and resource support related to pediatric mental health. To evaluate initial impact of the program, data from 190 pediatricians and family practitioners from the Wisconsin Health Information Organization (WHIO) were analyzed. Enrollment in the WI CPCP was associated with a significant increase in rates of mental health diagnoses within primary care visits. In addition, the number of providers who made any mental health diagnosis increased from 56% of PCPs pre-enrollment to over 99% post-enrollment. These data provide additional support for pediatric psychiatry consultation programs within primary care.

Collectively, rare diseases are common, affecting approximately 8% of the population in Canada and the USA. Therefore, the majority of primary care (PC) clinicians will care for patients who are affected or at risk for a genetic disease. Considering the increasing ways in which genetics is being implemented into all areas of healthcare, one way to address these needs and expand the capacity of the PC workforce is through the integration of genetic counselors (GCs) into PC multidisciplinary teams. GCs are Masters-educated allied health professionals with specialized training in molecular genetics, communication, and short-term psychotherapeutic counseling. The current models of GCs in PC mimic other multidisciplinary models. Complex tasks related to genetics, such as pre- and post-test counseling, genetic test selection, and results interpretation, are conducted by GCs, which, in turn, allows physicians, nurse practitioners, and other PC providers to work at the top of their scope of practice. Quality genetics services provided by GCs improve clinical outcomes for patients and their families; the simultaneous provision of genetic education and psychological support by a GC is associated with an increase in patient knowledge, perceived personal control, decrease in distress, and can lead to positive health behavior changes, all of which are aligned with the goals of primary healthcare. With their extensive training in clinical care, medical communication, and psychotherapeutic counseling, integrating GCs into PC care teams will improve the care patients receive and allow PC clinicians to ensure their patients are at the forefront of the personalized medicine revolution.