Comorbidities and neighborhood factors associated with prescription of sodium-glucose cotransporter protein-2 inhibitors and glucagon-like peptide-1 receptor agonists among medically underserved populations.

BACKGROUND: Evidence from clinical trials shows that newer second-line diabetes medications-glucagon-like peptide 1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2is)-have cardio-renal protective effects in addition to their glucose-lowering properties. Despite strong evidence of benefits, there is limited evidence regarding prescribing patterns for these medications, especially among populations at high risk for disparities. OBJECTIVE: To examine the associations of cardio-renal and obesity comorbidities and neighborhood factors with the prescribing of GLP-1RAs or SGLT2is in comparison with dipeptidyl peptidase 4 inhibitors (DPP-4is) or sulfonylureas (SFUs) and for each of the newer second-line diabetes medications (GLP-1RA vs DPP-4i, SGLT2i vs DPP-4i, GLP-1RA vs SFU, and SGLT2i vs SFU) in medically underserved populations. METHODS: A retrospective cohort study was conducted using electronic medical records from a health care delivery system that serves medically underserved populations in the Mid-South region of the United States. Metformin-treated adult patients with type 2 diabetes, and at least 1 prescription for GLP-1RA, SGLT2i, DPP-4i, or SFU class medications, were identified between April 2016 and August 2021. Neighborhood factors were assessed at the census tract level by geocoding and linking patient addresses to neighborhood-level risk factors. Using multilevel logistic regression models, we examined the associations of comorbidities and neighborhood factors with the prescription of newer second-line diabetes medications. RESULTS: 7,723 patients received newer second-line diabetes medications, with 16% prescribed GLP-1RAs, 11% prescribed SGLT2is, 28% prescribed DPP-4is, and 45% prescribed SFUs. Patients with cerebrovascular disease were significantly less likely to receive newer second-line diabetes medications (odds ratio [OR] = 0.65, 95% CI = 0.52-0.80). Patients with obesity were more likely to receive newer second-line diabetes medications (OR = 1.68, 95% CI = 1.48-1.90). Living in neighborhoods with higher proportions of college graduates was associated with a higher likelihood of receiving newer second-line diabetes medications (quartile 3 vs 1: OR = 1.30, 95% CI = 1.06-1.59; and quartile 4 vs 1: OR = 1.46, 95% CI = 1.13-1.88). CONCLUSIONS: Our findings demonstrate substantial underprescribing and significant clinical and neighborhood variations in the use of newer second-line diabetes medications. We found lower use of newer second-line diabetes medications among patients with cerebrovascular disease and higher use in those with obesity. Our findings also suggest that newer second-line diabetes medications are first adopted by those in higher socioeconomic groups, thus increasing disparities in care. DISCLOSURES: Dr Surbhi reports grants or contracts from the Tennessee Department of Health, Agency for Healthcare Research and Quality, and PhRMA Foundation. Dr Bailey reports honoraria from the SouthEast Texas Chapter of the American College of Healthcare Executives, leadership or fiduciary role in the Coalition for Better Health and The Healthy City, Inc., and stock or stock options in Proctor and Gamble, Walmart, and Apple. Dr Kovesdy reports personal fees from Bayer, Abbott, AstraZeneca, Takeda, Tricida, Akebia, Cara Therapeutics, Vifor, Rockwell, CSL Behring, Boehringer Ingelheim, and GSK, outside the submitted work. The other authors report no conflicts of interest.

Racial and Socioeconomic Characteristics Associated with the use of Telehealth Services Among Adults With Ambulatory Sensitive Conditions.

Introduction: The COVID-19 pandemic led to a major transition for patients from routine ambulatory-care-based in-person primary care visits to telehealth visits to manage chronic diseases. However, it remains unclear the extent to which individuals access telehealth services and whether such utilization varies along neighborhood characteristics, especially among racial minorities. This study aims to examine the association of outpatient telehealth utilization with sociodemographic, clinical, and neighborhood characteristics among adults with ambulatory care sensitive conditions (ACSCs) during the COVID-19 pandemic. Methods: We included adults treated for an ACSC between March 5, 2020, and December 31, 2020, at a single ambulatory-care-based healthcare system, which serves a large population of low-income patients in the South region of the United States (i.e., Memphis, TN, Metropolitan Statistical Area). Telehealth utilization was defined by outpatient procedural codes and providers' notes on the type of visits. Generalized linear mixed models were used to examine the association of sociodemographic, clinical, and neighborhood factors with telehealth utilization in the overall cohort and the racial subpopulations. Results: Among the 13,962 adults with ACSCs, 8583 (62.5%) used outpatient telehealth services. Patients who were older, female, with mental disorders, and who had more comorbidities had higher rates of telehealth services (p < .05). Controlling for covariates, we observed 75.2% and 23.1% increased use of telehealth services among Hispanics and other race groups, respectively, compared to Whites. Patients who commuted more than 30 minutes to health facilities were slightly less likely to use telehealth services [OR: 0.994 (0.991,0.998)]. Racial minorities (Blacks and Hispanics) with mental disorders were more likely to use telehealth service when compared to Whites. Discussion: We found that among patients being treated for ACSCs, the use of telehealth services was highly prevalent in Hispanic patients in general and were more pronounced among both Hispanics and Black patients who have mental disorders.

Race, mental health, and evictions filings in Memphis, TN, USA.

Although evictions are a major disruptor of residential stability, their contribution to health disparities is understudied. Both experiencing eviction and the threat of being evicted are associated with adverse physical and mental health outcomes. Communities with higher proportions of Black people have higher rates of eviction filings. Market characteristics alone are insufficient for explaining the clustering of eviction in neighborhoods of color. Memphis is the fastest-growing rental market in the United States, facing an eviction crisis and is rife with persistent racial health disparities. This study explored the relationship between eviction filings, mental health, and neighborhood racial composition in Memphis to inform local policy approaches. We combined health from the City Health Dashboard, 2019 American Community Survey 5-year estimates, and eviction filings from the Shelby County, TN General Sessions Civil Court. Multivariate regression models were used to examine the relationship between health outcomes and eviction filing rates while controlling other relevant neighborhood characteristics. Separate models were run based on neighborhood racial composition. Poor mental health was significantly associated with higher eviction filling rates in majority Black neighborhoods but not in majority white and racially mixed neighborhoods. These findings point to evictions as an important contributor to racial health inequities in Memphis and the importance of race-conscious policy interventions that address the dual crisis of evictions and racial health disparities.

Barriers to Tobacco Cessation for Caregivers of Hospitalized Children: Perspectives of Pediatric Hospitalists.

OBJECTIVES: Secondhand smoke exposure is associated with adverse health outcomes in children, yet tobacco cessation efforts for caregivers of hospitalized children are lacking. We sought to explore pediatric hospitalists' attitudes and barriers to providing tobacco cessation for caregivers of hospitalized children. METHODS: We conducted a cross-sectional survey of pediatric hospitalists and fellows at 7 hospitals from November 1, 2018, to November 30, 2019. A 70-question anonymous survey was used to assess participants' perceptions of current practices, attitudes, and barriers to providing tobacco cessation support for caregivers of hospitalized children. We used descriptive statistics to summarize the data. RESULTS: Of 207 eligible participants, 100 responded (48%). A majority (79%) agreed that offering tobacco cessation counseling for caregivers is an important part of their role in caring for hospitalized children, but 79% never received tobacco cessation training. Only half of the participants were comfortable providing brief advice and few were comfortable prescribing nicotine replacement therapy. Identified barriers included lack of time (74%), perceived lack of interest from patients' caregivers (71%), and other medical conditions of the patient taking priority (70%). The majority of participants were interested in further training in tobacco cessation support. CONCLUSIONS: In this survey of 100 pediatric hospitalists, we found overall agreement that tobacco cessation support for caregivers of hospitalized children is important. However, most participants did not feel comfortable with provision of evidence-based counseling or pharmacotherapy because of identified barriers. Future work should target actionable barriers to improve provision of tobacco cessation support in this clinical setting.

Using Transcranial Magnetic Stimulation to Test a Network Model of Perceptual Decision Making in the Human Brain.

Previous research has suggested that the lateral occipital cortex (LOC) is involved with visual decision making, and specifically with the accumulation of information leading to a decision. In humans, this research has been primarily based on imaging and electroencephalography (EEG), and as such only correlational. One line of such research has led to a model of three spatially distributed brain networks that activate in temporal sequence to enable visual decision-making. The model predicted that disturbing neural processing in the LOC at a specific latency would slow object decision-making, increasing reaction time (RT) in a difficult discrimination task. We utilized transcranial magnetic stimulation (TMS) to test this prediction, perturbing LOC beginning at 400 ms post-stimulus onset, a time in the model corresponding to LOC activation at a particular difficulty level, with the expectation of increased RT. Thirteen healthy adults participated in two TMS sessions in which left and right LOC were stimulated separately utilizing neuronavigation and robotic coil guidance. Participants performed a two-alternative forced-choice task selecting whether a car or face was present on each trial amidst visual noise pre-tested to approximate a 75% accuracy level. In an effort to disrupt processing, pairs of TMS pulses separated by 50 ms were presented at one of five stimulus onset asynchronies (SOAs): -200, 200, 400, 450, or 500 ms. Behavioral performance differed systematically across SOAs for RT and accuracy measures. As predicted, TMS at 400 ms resulted in a significant slowing of RT. TMS delivered at -200 ms resulted in faster RT, indicating early stimulation may result in priming and performance enhancement. Use of TMS thus causally demonstrated the involvement of LOC in this task, and more broadly with perceptual decision-making; additionally, it demonstrated the role of TMS in testing well-developed neural models of perceptual processing.