Pharmacists Colocated With Primary Care Physicians: Understanding Delivery of Interprofessional Primary Care.

BACKGROUND: While evidence supports interprofessional primary care models that include pharmacists, the extent to which pharmacists are working in primary care and the factors associated with colocation is unknown. OBJECTIVES: This study aimed to analyze the physical colocation of pharmacists with primary care providers (PCPs) and examine predictors associated with colocation. RESEARCH DESIGN: This is a retrospective cross-sectional study of pharmacists and PCPs with individual National Provider Identifiers in the National Plan and Provider Enumeration System's database. Pharmacist and PCP practice addresses of the health care professionals were geocoded, and distances less than 0.1 miles were considered physically colocated. SUBJECTS: In all, 502,373 physicians and 221,534 pharmacists were included. RESULTS: When excluding hospital-based pharmacists, 1 in 10 (11%) pharmacists were colocated with a PCP. Pharmacists in urban settings were more likely to be colocated than those in rural areas (OR=1.32, CI: 1.26-1.38). Counties with the highest proportion of licensed pharmacists per 100,000 people in the county had higher colocation (OR=1.38, CI: 1.32-1.45). Colocation was significantly higher in states with an expanded scope of practice (OR 1.37, CI: 1.32-1.42) and those that have expanded Medicaid (OR 1.07, CI: 1.03-1.11). Colocated pharmacists more commonly worked in larger physician practices. CONCLUSION: Although including pharmacists on primary care teams improves clinical outcomes, reduces health care costs, and enhances patient and provider experience, colocation appears to be unevenly dispersed across the United States, with lower rates in rural areas. As the integration of pharmacists in primary care continues to expand, knowing the prevalence and facilitators of growth will be helpful to policymakers, researchers, and clinical administrators.

Are DEA-waivered buprenorphine prescribers colocated with behavioral health clinicians?

BACKGROUND AND OBJECTIVES: Medication for opioid use disorder (MOUD) in primary care includes a combination of medication, behavioral therapy, and/or other psychosocial services. This study assessed rates of colocation between waivered prescribers and behavioral health clinicians across the United States to understand if rates varied by provider type and geographic indicators. METHODS: Data from the DEA-Drug Addiction Treatment Act of 2000 provider list as of March 2022 and the National Plan and Provider Enumeration System's National Provider Identifier database were gathered, cleaned, and formatted in Stata. Data were geocoded with ESRI StreetMap® database and ArcGIS software. Covariates at individual, county, and state levels were examined and compared. Chi-square statistics and a mixed-effects logistic regression were analyzed. RESULTS: The sample (N = 71, 292 prescribers) included physicians (64%), nurse practitioners (29%), and physician assistants (7%). About 48% of prescribers were colocated with a behavioral health clinician. Physicians were the least likely to be colocated (47%), but differences between provider types were modest. We observed significant geographic differences in provider colocation by provider type. Mixed effects logistic regression identified significant predictors of colocation at individual, county, and state levels. DISCUSSION AND CONCLUSIONS: Optimally distributing the workforce providing MOUD is necessary to broadly ensure the provision of comprehensive MOUD care based on practice guidelines. SCIENTIFIC SIGNIFICANCE: Less than half of all waivered prescribers, outside of hospitals, are colocated with behavioral health clinicians. Findings offer greater clarity on where integrated MOUD is occurring, among which types of providers, and where it needs to be expanded to increase MOUD uptake.

Bolstering the rural physician workforce in underserved communities: Are Rural Residency Planning and Development Programs finding the sweet spot?

PURPOSE: The purpose of this study is to describe the characteristics of Rural Residency Planning and Development (RRPD) Programs, compare the characteristics of counties with and without RRPD programs, and identify rural places where future RRPD programs could be developed. METHODS: The study sample comprised 67 rural sites training residents in 40 counties in 24 US states. Descriptive statistics were used to describe RRPD programs and logistic regression to predict the probability of a county being an RRPD site as a function of population, primary care physicians (PCP) per 10,000 population, and the social vulnerability index (SVI) compared to a control sample of nonmetro counties without RRPD sites. FINDINGS: Most RRPD grantees (78%) were family medicine programs affiliated with medical schools (97%). RRPD counties were more populous (P<.01), had a higher population density (P<.05), and a higher percent of the non-White or Hispanic population (P = .05) compared to non-RRPD counties. Both higher population (P<.001) and PCP ratio (P = .046) were strong predictors, while SVI (P = .07) was a weak predictor of being an RRPD county. CONCLUSIONS: RRPD sites appear to represent a "sweet spot" of rural counties that have the population and physician supply to support a training program but also are relatively more socially vulnerable with high-need populations. Additional counties fitting this "sweet spot" could be targeted for funding to address health disparities and health workforce maldistribution.

Primary Care Clinicians in Low-Access Counties.

Advanced practice providers comprise an increasing percentage of the health care and primary care workforce. This paper evaluates the weighted contribution of advanced practice providers to the primary care workforce in well-served and underserved counties across North Carolina using age- and sex-adjusted population measures of access.

Using State Licensure Data to Assess North Carolina's Health Workforce COVID-19 Response Capacity.

BACKGROUND In the early months of the COVID-19 pandemic, health care decision-makers in North Carolina needed information about the available health workforce in order to conduct workforce surge planning and to anticipate concerns about professional or geographic workforce shortages.METHOD Descriptive and cartographic analyses were conducted using licensure data held by the North Carolina Health Professions Data System to assess the supply of respiratory therapists, nurses, and critical care physicians in North Carolina. Licensure data were merged with population data and numbers of intensive care unit (ICU) beds drawn from the Centers for Medicare and Medicaid Services (CMS) Healthcare Cost Report Information System (HCRIS).RESULTS The pandemic highlighted how critical data infrastructure is to public health infrastructure. Respiratory therapists and acute care, emergency, and critical care nurses were diffused broadly throughout the state, with higher concentrations in urban areas. Critical care physicians were primarily based in areas with academic health centers.LIMITATIONS Data were unavailable to capture the rapid changes in supply due to clinicians reentering or exiting the workforce. County-level analyses did not reflect individual, facility-level supply, which was needed to plan organizational responses.CONCLUSIONS Health care decision-makers in North Carolina were able to access information about the supply of clinicians critical to caring for COVID-19 patients due to the state's long-standing investments in health workforce data infrastructure. Ability to respond was made easier due to strong working relationships between the University of North Carolina at Chapel Hill Cecil G. Sheps Center for Health Services Research, the North Carolina Area Health Education Centers Program, the health professional licensure boards, and state government health care agencies.

Persistent neural activity in the prefrontal cortex: a mechanism by which BDNF regulates working memory?

Working memory is the ability to maintain representations of task-relevant information for short periods of time to guide subsequent actions or make decisions. Neurons of the prefrontal cortex exhibit persistent firing during the delay period of working memory tasks. Despite extensive studies, the mechanisms underlying this persistent neural activity remain largely obscure. The neurotransmitter systems of dopamine, NMDA, and GABA have been implicated, but further investigations are necessary to establish their precise roles and relationships. Recent research has suggested a new component: brain-derived neurotrophic factor (BDNF) and its high-affinity receptor, TrkB. We review the research on persistent activity and suggest that BDNF/TrkB signaling in a distinct class of interneurons plays an important role in organizing persistent neural activity at the single-neuron and network levels.

High genetic diversity in the chemoreceptor superfamily of Caenorhabditis elegans.

We investigated genetic polymorphism in the Caenorhabditis elegans srh and str chemoreceptor gene families, each of which consists of approximately 300 genes encoding seven-pass G-protein-coupled receptors. Almost one-third of the genes in each family are annotated as pseudogenes because of apparent functional defects in N2, the sequenced wild-type strain of C. elegans. More than half of these "pseudogenes" have only one apparent defect, usually a stop codon or deletion. We sequenced the defective region for 31 such genes in 22 wild isolates of C. elegans. For 10 of the 31 genes, we found an apparently functional allele in one or more wild isolates, suggesting that these are not pseudogenes but instead functional genes with a defective allele in N2. We suggest the term "flatliner" to describe genes whose functional vs. pseudogene status is unclear. Investigations of flatliner gene positions, d(N)/d(S) ratios, and phylogenetic trees indicate that they are not readily distinguished from functional genes in N2. We also report striking heterogeneity in the frequency of other polymorphisms among these genes. Finally, the large majority of polymorphism was found in just two strains from geographically isolated islands, Hawaii and Madeira. This suggests that our sampling of wild diversity in C. elegans is narrow and that identification of additional strains from similarly isolated regions will greatly expand the diversity available for study.