Household conditions, COVID-19, and equity: Insight from two nationally representative surveys.

Background: With people across the United States spending increased time at home since the emergence of COVID-19, housing characteristics may have an even greater impact on health. Therefore, we assessed associations between household conditions and COVID-19 experiences. Methods: We used data from two nationally representative surveys: the Tufts Equity Study (TES; n = 1449 in 2021; n = 1831 in 2022) and the Household Pulse Survey (HPS; n = 147,380 in 2021; n = 62,826 in 2022). In the TES, housing conditions were characterized by heating/cooling methods; smoking inside the home; visible water damage/mold; age of housing unit; and self-reported concern about various environmental factors. In TES and HPS, household size was assessed. Accounting for sampling weights, we examined associations between each housing exposure and COVID-19 outcomes (diagnosis, vaccination) using separate logistic regression models with covariates selected based on an evidence-based directed acyclic graph. Results: Having had COVID-19 was more likely among people who reported poor physical housing condition (odds ratio [OR] = 2.32; 95% confidence interval [CI] = 1.17-4.59; 2021), visible water damage or mold/musty smells (OR = 1.50; 95% CI = 1.10-2.03; 2022), and larger household size (5+ versus 1-2 people; OR = 1.53, 95% CI = 1.34-1.75, HPS 2022). COVID-19 vaccination was less likely among participants who reported smoke exposure inside the home (OR = 0.53; 95% CI = 0.31-0.90; 2022), poor water quality (OR = 0.42; 95% CI = 0.21-0.85; 2021), noise from industrial activity/construction (OR = 0.44; 95% CI = 0.19-0.99; 2022), and larger household size (OR = 0.57; 95% CI = 0.46-0.71; HPS 2022). Vaccination was also positively associated with poor indoor air quality (OR = 1.96; 95% CI = 1.02-3.72; 2022) and poor physical housing condition (OR = 2.27; 95% CI = 1.01-5.13; 2022). Certain heating/cooling sources were associated with COVID-19 outcomes. Conclusions: Our study found poor housing conditions associated with increased COVID-19 burden, which may be driven by systemic disparities in housing, healthcare, and financial access to resources during the COVID-19 pandemic.

Opioid Use Disorder in Patients Undergoing Primary 1- to 2-Level Anterior Cervical Discectomy and Fusion Is Associated With Longer In-Hospital Lengths of Stay and Higher Rates of Readmissions, Complications, and Costs of Care.

STUDY DESIGN: Retrospective study. OBJECTIVE: To determine whether opioid use disorder (OUD) patients undergoing 1- to 2-level anterior cervical discectomy and fusion (1-2ACDF) have higher rates of: 1) in-hospital lengths of stay (LOS); 2) readmissions; 3) complications; and 4) costs. METHODS: OUD patients undergoing primary 1-2ACDF were identified within the Medicare database and matched to a control cohort in a 1:5 ratio by age, sex, and medical comorbidities. The query yielded 80,683 patients who underwent 1-2 ACDF with (n = 13,448) and without (n = 67,235) OUD. Outcomes analyzed included in-hospital LOS, 90-day readmission rates, 90-day medical complications, and costs. Multivariate logistic regression analyses were used to calculate odds-ratios (OR) for medical complications and readmissions. Welch's t-test was used to test for significance for LOS and cost between the cohorts. An alpha value less than 0.002 was considered statistically significant. RESULTS: OUD patients were found to have significantly longer in-hospital LOS compared to their counterparts (3.41 vs. 2.23-days, P < .0001), in addition to higher frequency and odds of requiring readmissions (21.62 vs. 11.57%; OR: 1.38, P < .0001). Study group patients were found to have higher frequency and odds of developing medical complications (0.88 vs. 0.19%, OR: 2.80, P < .0001) and incurred higher episode of care costs ($20,399.62 vs. $16,812.14, P < .0001). CONCLUSION: The study can help to push orthopaedic surgeons in better managing OUD patients pre-operatively in terms of safe discontinuation and education of opioid drugs and their effects on complications, leading to more satisfactory outcomes.

U.S. regional differences in physical distancing: Evaluating racial and socioeconomic divides during the COVID-19 pandemic.

Health varies by U.S. region of residence. Despite regional heterogeneity in the outbreak of COVID-19, regional differences in physical distancing behaviors over time are relatively unknown. This study examines regional variation in physical distancing trends during the COVID-19 pandemic and investigates variation by race and socioeconomic status (SES) within regions. Data from the 2015-2019 five-year American Community Survey were matched with anonymized location pings data from over 20 million mobile devices (SafeGraph, Inc.) at the Census block group level. We visually present trends in the stay-at-home proportion by Census region, race, and SES throughout 2020 and conduct regression analyses to examine these patterns. From March to December, the stay-at-home proportion was highest in the Northeast (0.25 in March to 0.35 in December) and lowest in the South (0.24 to 0.30). Across all regions, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, as Blacks disproportionately live in urban areas where stay-at-home rates were higher (0.009 [CI: 0.008, 0.009]). In the South, West, and Midwest, higher-SES block groups stayed home at the lowest rates pre-pandemic; however, this trend reversed throughout March before converging in the months following. In the Northeast, lower-SES block groups stayed home at comparable rates to higher-SES block groups during the height of the pandemic but diverged in the months following. Differences in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results can be used to guide reopening and COVID-19 mitigation plans.

Intergenerational upward mobility and racial differences in mortality among young adults: Evidence from county-level analyses.

Inspired by the influential "deaths of despair" narrative, which emphasizes the role of worsening economic opportunity in driving the increasing mortality for non-Hispanic Whites in the recent decades, a rising number of studies have provided suggestive evidence that upward mobility levels across counties may partly explain variations in mortality rates. A gap in the literature is the lack of life-course studies examining the relationship between early-life upward mobility and later-life mortality across counties. Another gap is the lack of studies on how the relationship between upward mobility and mortality across counties varies across diverse sociodemographic populations. This study examines differences across race and sex in the relationship between early-life intergenerational upward mobility and early adulthood mortality at the county level. We use administrative data on upward mobility and vital statistics data on mortality across 3030 counties for those born between 1978 and 1983. We control for a variety of county-level socioeconomic variables in a model with fixed effects for state and year. Subgroup analyses by educational attainment and urban status were also performed for each race-sex combination. Results show strong negative relationships between early-life upward mobility and early adulthood mortality across racial-sex combinations, with a particularly greater magnitude for non-Hispanic Black males. In addition, individuals without a college degree and living in urban counties are particularly affected by early life upward mobility. The findings of this study highlight the vulnerability of less-educated, young urban Black males, due to the intersecting effects of the urban context, education, race, and sex.

Diagnostic and Interventional Imaging Services are Significant Sources of Medicare Revenue for Highly Reimbursed Nonradiologist Providers.

INTRODUCTION: Nonradiologist providers increasingly perform diagnostic imaging examinations and imaging-guided interventions traditionally performed by radiologists, which have raised concerns regarding appropriate utilization and self-referral. The purpose of this study was to assess the contribution of imaging studies to Medicare reimbursements for highly compensated nonradiologist providers in specialties often performing imaging studies. METHODS: The Medicare Provider Utilization and Payment Database was queried for provider information regarding overall reimbursement for providers in anesthesiology, cardiology, emergency medicine, neurology, obstetrics and gynecology, orthopedic surgery, neurology, and vascular surgery. Information regarding imaging studies reported and payment amounts were extracted for the 25 highest-reimbursed providers. Data were analyzed for relative contribution of imaging payments to overall medical Medicare payments. RESULTS: Significant differences between numbers of imaging studies, types of imaging, and payment amounts were noted based on provider specialty (p < 0.001). Highest-reimbursed cardiologists received the greatest percentage of Medicare payments from imaging (18.3%) followed by vascular surgery (11.6%), obstetrics and gynecology (10.9%), orthopedic surgery (9.6%), emergency medicine (8.7%), neurology (7.8%), and anesthesiology (3.2%) providers. Mean imaging payments amongst highly reimbursed nonradiologists were greatest for cardiology ($578,265), vascular surgery ($363,912), and orthopedic surgery ($113,634). Amongst highly reimbursed specialists, most common nonradiologist imaging payments were from ultrasound (45%) and cardiac nuclear medicine studies (40%). CONCLUSIONS: Nonradiologist performed imaging payments comprised substantial proportions of overall Medicare reimbursement for highly reimbursed physicians in several specialties, especially cardiology, vascular surgery, and orthopedic surgery. Further investigation is needed to better understand the wider economic implications of nonradiologist imaging study performance and self-referral beyond the Medicare population.

Cost Effectiveness of Endoscopic Resection vs Transanal Resection of Complex Benign Rectal Polyps.

BACKGROUND & AIMS: Complex benign rectal polyps can be managed with transanal surgery or with endoscopic resection (ER). Though the complication rate after ER is lower than transanal surgery, recurrence is higher. Patients lost to follow up after ER might therefore be at increased risk for rectal cancer. We evaluated the costs, benefits, and cost effectiveness of ER compared to 2 surgical techniques for removing complex rectal polyps, using a 50-year time horizon-this allowed us to capture rates of cancer development among patients lost from follow-up surveillance. METHODS: We created a Markov model to simulate the lifetime outcomes and costs of ER, transanal endoscopic microsurgery (TEM), and transanal minimally invasive surgery (TAMIS) for the management of a complex benign rectal polyp. We assessed the effect of surveillance by allowing a portion of the patients to be lost to follow up. We calculated the cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio or each intervention over a 50-year time horizon. RESULTS: We found that TEM was slightly more effective than TAMIS and ER (TEM, 19.54 QALYs; TAMIS, 19.53 QALYs; and ER, 19.53 QALYs), but ER had a lower lifetime discounted cost (ER cost $7161, TEM cost $10,459, and TAMIS cost $11,253). TEM was not cost effective compared to ER, with an incremental cost-effectiveness ratio of $485,333/QALY. TAMIS was dominated by TEM. TEM became cost effective when the mortality from ER exceeded 0.63%, or if the loss to follow up rate exceeded 25.5%. CONCLUSIONS: Using a Markov model, we found that ER, TEM, and TAMIS have similar effectiveness, but ER is less expensive, in management of benign rectal polyps. As the rate of loss to follow up increases, transanal surgery becomes more effective relative to ER.

Immersion medicine programme for secondary students.

BACKGROUND: Although the proportion of ethnicities representing under-represented minorities in medicine (URM) in the general population has significantly increased, URM enrolment in medical schools within the USA has remained stagnant in recent years. METHODS: This study sought to examine the effect of an immersion in community medicine (ICM) programme on secondary school students' desire to enter the field of medicine and serve their communities. The authors asked all 69 ICM alumni to complete a 14-question survey consisting of six demographic, four programme and four career questions, rated on a Likert scale of 1 (completely disagree) to 5 (completely agree), coupled with optional free-text questions. Data were analysed using GraphPad prism and nvivo software. RESULTS: A total of 61 students responded, representing a response rate of 88.4 per cent, with a majority of respondents (73.7%) from URM backgrounds. An overwhelming majority of students agreed (with a Likert rating of 4 or 5) that the ICM programme increased their interest in becoming a physician (n = 56, 91.8%). Students reported shadowing patient-student-physician interactions to be the most useful (n = 60, 98.4%), and indicated that they felt that they would be more likely to lead to serving the local community as part of their future careers (n = 52, 85.3%). Of the students that were eligible to apply to medical school (n = 13), a majority (n = 11, 84.6%) have applied to medical school. URM enrolment in medical schools within the USA has remained stagnant in recent years DISCUSSION: Use of a community medicine immersion programme may help encourage secondary students from URM backgrounds to gain the confidence to pursue a career in medicine and serve their communities. Further examination of these programmes may yield novel insights into recruiting URM students to medicine.

Comprehensive target geometric errors and margin assessment in stereotactic partial breast irradiation.

BACKGROUND: Recently developed stereotactic partial breast irradiation (S-PBI) allows delivery of a high biologically potent dose to the target while sparing adjacent critical organs and normal tissue. With S-PBI tumoricidal doses, accurate and precise dose delivery is critical to achieve high treatment quality. This study is to investigate both rigid and non-rigid components of target geometric error and their corresponding margins in S-PBI and identify correlated clinical factors. METHODS: Forty-three early-stage breast cancer patients with implanted gold fiducial markers were enrolled in the study. Fiducial positions recorded on the orthogonal kV images on a Cyberknife system during treatment were used to estimate intra-fraction errors and composite errors (including intra-fraction errors and residual errors after patient setup). Both rigid and non-rigid components of intra-fraction and composite errors were analyzed and used to estimate rigid and non-rigid margins, respectively. Univariate and multivariate linear regressions were conducted to evaluate correlations between clinical factors and errors. RESULTS: For the study group, the intra-fraction rigid and non-rigid errors are 2.0 ± 0.6 mm and 0.3 ± 0.2 mm, respectively. The composite rigid and non-rigid errors are 2.3 ± 0.5 mm and 1.3 ± 0.8 mm, respectively. The rigid margins in the left-right, anterior-posterior, and superior-inferior directions are estimated as 2.1, 2.4, and 2.3 mm, respectively. The estimated non-rigid margin, assumed to be isotropic, is 1.7 mm. The outer breast quadrants are more susceptible to composite errors occurrence than the inner breast quadrants. The target to chest wall distance is the clinical factor correlated with target geometric errors. CONCLUSIONS: This is the first comprehensive analysis of breast target geometric rigid and non-rigid errors in S-PBI. Upon the estimation, the non-rigid margin is comparable to rigid margin, and therefore should be included in planning target volume as it cannot be accounted for by the Cyberknife system. Treatment margins selection also need to consider the impact of relevant clinical factor.