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

Sex-specific age-related differences in cerebrospinal fluid clearance assessed by resting-state functional magnetic resonance imaging

Cerebrospinal fluid (CSF) flow may assist the clearance of brain wastes, such as amyloid-β (Aβ) and tau, and thus play an important role in aging and dementias. However, a lack of non-invasive tools to assess the CSF dynamics-related clearance in humans hindered the understanding of the relevant changes in healthy aging. The global infra-slow (<0.1 Hz) brain activity measured by the global mean resting-state fMRI signal (gBOLD) was recently found to be coupled by large CSF movements. This coupling has been found to correlate with various pathologies of Alzheimer's disease (AD), particularly Aβ pathology, linking it to waste clearance. Using resting-state fMRI data from a group of 719 healthy aging participants, we examined the sex-specific differences of the gBOLD-CSF coupling over a wide age range between 36-100 years of age. We found that this coupling index remains stable before around age 55 and then starts to decline afterward, particularly in females. Menopause may contribute to the accelerated decline in females.

Spatiotemporal Ecologic Analysis of COVID-19 Vaccination Coverage and Outcomes, Oklahoma, USA, February 2020-December 2021

Data on COVID-19 cases, deaths, hospitalizations, and vaccinations in Oklahoma, USA, have not been systematically described. The relationship between vaccination and COVID-19-related outcomes over time has not been investigated. We graphically described data collected during February 2020-December 2021 and conducted spatiotemporal modeling of monthly increases in COVID-19 cumulative death and hospitalization rates, adjusting for cumulative case rate, to explore the relationship. A 1 percentage point increase (absolute change) in the cumulative vaccination rate was associated with a 6.3% (95% CI 1.4%-10.9%) relative decrease in death outcome during April-June 2021, and a 1.9% (95% CI 1.1%-2.6%) relative decrease in death outcome and 1.1% (95% CI 0.5%-1.7%) relative decrease in hospitalization outcome during July-December 2021; the effect on hospitalizations was driven largely by data from urban counties. Our findings from Oklahoma suggest that increasing cumulative vaccination rates might reduce the increase in cumulative death and hospitalization rates from COVID-19.

Impact of COVID-19 on the Diagnosis of Coarctation of the Aorta in Infants

Newborns with coarctation of the aorta are a potentially vulnerable population whose diagnosis could have been impacted by the COVID-19 pandemic. The objectives of this study were to assess if there was delayed diagnosis of infants with coarctation and if they had higher acuity prior to repair after the start of the pandemic. The Pediatric Health Information Systems database was queried for patients less than three months of age who underwent surgical repair or palliation of coarctation of the aorta. Patients were divided into three time periods: (1) pre-COVID (October 2017-December 2019), (2) early COVID (January 2020-December 2020), and (3) late COVID (January 2021-December 2021). The outcomes were age at repair and pre-procedure acuity. Among the 4885 patients, the median time to repair was 10 days during all time periods. Use of pre-procedure mechanical ventilation, vasopressors, and extracorporeal membranous oxygenation did not increase after the start of the pandemic. Median length of hospital stay increased after the start of the pandemic and did not return to baseline (22 days, 24 days, and 25 days, sequentially, p < 0.01). When analyzing patients who presented to the surgical hospital after 3 days of life, there were no differences in age at repair, pre-procedural acuity, or other outcomes. Age at repair of coarctation of the aorta and acuity did not change after the start of the COVID-19 pandemic. This suggests that the safeguards in place to ensure timely diagnosis of critical heart disease were adequate during this time of disruption.

Geographical Differences in Surgeon Reimbursement, Volume, and Patient Characteristics in Primary Total Hip Arthroplasty

BACKGROUND

The purpose of this study was to evaluate changes in regional and national variations in reimbursement to arthroplasty surgeons, procedural volumes, and patient populations for total hip arthroplasty (THA) from 2013 to 2021.

METHODS

The Medicare Physician and Other Practitioners database was queried for all billing episodes of primary THA for each year between 2013 and 2021. Inflation-adjusted surgeon reimbursement, procedural volume, physician address, and patient characteristics were extracted for each year. Data were stratified geographically based on the United States Census regions and rural-urban commuting codes. Kruskal-Wallis and multivariable regressions were utilized.

RESULTS

Between 2013 and 2021, the overall THA volume and THAs per surgeon increased at the highest rate in the West (+48.2%, +20.2%). A decline in surgeon reimbursement was seen in all regions, most notably in the Midwest (-20.3%). Between 2013 and 2021, the average number of Medicare beneficiaries per surgeon declined by 12.6%, while the average number of services performed per beneficiary increased by 18.2%. In 2021, average surgeon reimbursement was the highest in the Northeast ($1,081.15) and the lowest in the Midwest ($988.03) (P < .001). Metropolitan and rural areas had greater reimbursement than micropolitan and small towns (P < .001). Patient age, race, sex, Medicaid eligibility, and comorbidity profiles differ between regions. Increased patient comorbidities, when controlling for patient characteristics, were associated with lower reimbursement in the Northeast and West (P < .01).

CONCLUSIONS

Total hip arthroplasty (THA) volume and reimbursement differ between US regions, with the Midwest exhibiting the lowest increase in volume and greatest decline in reimbursement throughout the study period. Alternatively, the West had the greatest increase in THAs per surgeon. Patient comorbidity profiles differ between regions, and increased patient comorbidity is associated with decreased reimbursement in the Northeast and the West. This information is important for surgeons and policymakers as payment models regarding reimbursement for arthroplasty continue to evolve.

Understanding cooperative contact tracing: Factors explored through privacy management theories

This study investigates the factors influencing the comfort level of the general public when disclosing personal information for the coronavirus disease 2019 contact tracing. This is a secondary analysis of the American Trends Panel, a national probability-based online panel of American adults, with data collected by the Pew Research Center between July 13 and 19, 2020. Grounded in privacy management theories, ordered logistic regression analyses examined three types of information disclosure: places visited, names of contacts, and location data from cell phones. Key independent variables measured trust in the stakeholders' ability to protect data and perceived risks to health and finances. The findings suggest that higher levels of trust in entities' data security capabilities can predict individuals' comfort levels when disclosing personal data. Additionally, the participants were more comfortable with noncommercial data use, especially when it was used by researchers and state and local officials. However, financial threats showed variations in sharing certain types of data. Individuals were less likely to feel at ease sharing contact tracing data as concerns about personal finances increased. Similarly, when individuals perceived threats to the U.S. economy, they were less likely to feel comfortable sharing their location data from cell phones, which might have been perceived as intrusive. Public health outreach efforts should account for individual differences and the nature of the information requested in commercial and noncommercial contexts. Future studies can enhance the explanatory capacity of data disclosure models by incorporating additional relevant contextual and environmental variables.

Regional variation from 2013 to 2021 in primary total shoulder arthroplasty utilization, reimbursement, and patient populations

BACKGROUND

Total shoulder arthroplasty (TSA), encompassing both anatomical and reverse TSA, has increased in popularity worldwide. The purpose of this study was to assess how TSA utilization, reimbursement, surgeon practices, and patient populations have evolved within the Medicare population from 2013 to 2021 at a national and regional level.

METHODS

The Medicare Physician and Other Practitioners dataset was queried for all episodes of primary TSA (CPT-23472), both anatomic and reverse, between years 2013 and 2021. TSA utilization was assessed as volume per 10,000 Medicare beneficiaries. Average inflation-adjusted reimbursement, physician practice styles, and patient demographics of each TSA surgeon were extracted each year. Data were stratified geographically based on US census classifications and rural-urban commuting codes. Kruskal-Wallis and multivariate regressions were utilized to determine differences between regions.

RESULTS

Between 2013 and 2021 TSA utilization increased by 121.8%, nationally. The increase was greatest in the Northeast (+147.2%) and least in the Midwest (+115.5%). Average TSA reimbursement declined by 8.8% nationally, with the least decline in the Northeast (6.4%) and the greatest decline in the Midwest (-11.9%). In 2021, the Midwest had the highest TSA utilization (18.1/10,000), while having the lowest average reimbursement ($1108.59; P < .001). The Northeast had the lowest utilization (11.5/10,000) and highest reimbursement ($1223.44; P < .001) in 2021. Nationally, the number of Medicare beneficiaries per surgeon performing shoulder arthroplasty declined by 5.9%, while the average number of TSAs per surgeon (+8.5%) and average number of billable services per beneficiary (+16.6%) both increased. Surgeons in the South performed the most services per beneficiary in 2021 (9.0; P < .001). The average comorbidity burden of patients was decreased by 4.8% between 2013 and 2021, with the West having the healthiest patients in 2021. Higher patient comorbidities were associated with lower physician reimbursement nationally (P < .001).

CONCLUSION

This study demonstrates that TSA utilization in the Medicare population has more than doubled between 2013 and 2021, while average inflation-adjusted reimbursement has declined by nearly 10%. The Midwest has the highest per-capita TSA utilization, while simultaneously having the lowest average reimbursement per TSA. Over time, TSA surgeons are seeing fewer and healthier beneficiaries but performing more services per beneficiary. Additionally, increased patient complexity may be associated with lower reimbursement. Together, these findings are concerning for long-term equitable access to care within shoulder surgery.

Respiratory disease contact patterns in the US are stable but heterogeneous

Background

Contact plays a critical role in infectious disease transmission. Characterizing heterogeneity in contact patterns across individuals, time, and space is necessary to inform accurate estimates of transmission risk, particularly to explain superspreading, predict age differences in vulnerability, and inform social distancing policies. Current respiratory disease models often rely on data from the 2008 POLYMOD study conducted in Europe, which is now outdated and potentially unrepresentative of behavior in the US. We seek to understand the variation in contact patterns across spatial scales and demographic and social classifications, whether there is seasonality to contact patterns, and what social behavior looks like at baseline in the absence of an ongoing pandemic.

Methods

We analyze spatiotemporal non-household contact patterns across 11 million survey responses from June 2020 - April 2021 post-stratified on age and gender to correct for sample representation. To characterize spatiotemporal heterogeneity in respiratory contact patterns at the county-week scale, we use generalized additive models. In the absence of pre-pandemic data on contact in the US, we also use a regression approach to produce baseline contact estimates to fill this gap.

Findings

Although contact patterns varied over time during the pandemic, contact is relatively stable after controlling for disease. We find that the mean number of non-household contacts is spatially heterogeneous regardless of disease. There is additional heterogeneity across age, gender, race/ethnicity, and contact setting, with mean contact decreasing with age and lower in women. The contacts of white individuals and contacts at work or social events change the most under increased national incidence.

Interpretation

We develop the first county-level estimates of non-pandemic contact rates for the US that can fill critical gaps in parameterizing disease models. Our results identify that spatiotemporal, demographic, and social heterogeneity in contact patterns is highly structured, informing the risk landscape of respiratory disease transmission in the US.

Factors Associated with Severe COVID-19 Among Patients with Rheumatoid Arthritis: A Large, Nationwide Electronic Health Record Cohort Study in the United States

INTRODUCTION

To evaluate factors associated with severe coronavirus disease 2019 (COVID-19) among patients with rheumatoid arthritis (RA) in the US.

METHODS

Adults with RA who had a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, based on molecular or antigen test or clinical diagnosis, were identified from the Optum® COVID-19 Electronic Health Record dataset (March 1, 2020-April 28, 2021). The primary outcome was the occurrence of severe COVID-19 (hospitalization or death) within 30 days from SARS-CoV-2 infection. Adjusted odds ratios (aOR) and 95% confidence intervals (CI) were estimated using multivariable logistic regression models to assess the association between severe COVID-19 and patient characteristics, including demographics, baseline comorbidities, and recent RA treatments.

RESULTS

During the study period, 6769 SARS-CoV-2 infections were identified in patients with RA, among whom 1460 (22%) developed severe COVID-19. Multivariable logistic regression analysis showed that being older, male, and non-White and having diabetes and cardiovascular conditions are associated with greater odds of severe COVID-19. In addition, compared with no use, the adjusted odds of severe COVID-19 were lower with recent use of tumor necrosis factor inhibitors (aOR 0.60, 95% CI 0.41-0.86) and higher with recent use of corticosteroids (aOR 1.38, 95% CI 1.13-1.69) or rituximab (aOR 2.87, 95% CI 1.60-5.14), respectively.

CONCLUSION

Nearly one in five patients with RA developed severe COVID-19 disease within 30 days after SARS-CoV-2 infection. In patients with RA, recent use of corticosteroids and rituximab were two factors associated with a greater risk of severe COVID-19 in addition to the risk factors among demographics and comorbidities previously identified in the general population.

Explaining the higher COVID-19 mortality rates among disproportionately Black counties: A decomposition analysis

Background

Why is COVID-19 mortality higher in counties with a disproportionately large (>13.4%) share of Black residents (hereafter "Black counties") relative to others ("non-Black counties")? Existing literature points to six categories of determinants: (1) social distancing, (2) COVID-19 testing, (3) socioeconomic characteristics, (4) environmental characteristics, (5) prevalence of (pre-existing) chronic health conditions, and (6) demographic characteristics. The relative importance of these determinants has not yet been thoroughly examined.

Methods

We built a dataset consisting of 21 sub-indicators across the six categories of determinants for 3108 US counties and their COVID-19 mortality over the period of January 22, 2020-December 31, 2020. Applying the Gelbach's decomposition, we quantified which determinants were most (or least) associated with the COVID-19 mortality disparity between Black and non-Black counties.

Results

We find that COVID-19 death rates were 26 percent higher in Black counties compared to non-Black counties. This disparity was almost completely explained by the six categories of determinants included in our model. Decomposition analyses indicate that county-level demographic and population health characteristics explained most of this disparity. Among all sub-indicators considered, the greater proportion of females and smaller proportion of rural residents in Black counties were the two largest contributors to the COVID-19 mortality gap between Black and non-Black counties. Proportions of diabetic residents, uninsured residents, and the degree of income inequality also significantly contributed to the gap in COVID-19 mortality.

Conclusion

The COVID-19 mortality gap between Black and non-Black counties was largely explained by pre-pandemic differences in demographic and population health characteristics. Policies aiming to reduce the prevalence of chronic conditions and uninsured residents in Black counties would have helped narrow the COVID-19 mortality gap between Black and non-Black counties in 2020.

Impact of COVID-19 Pandemic on Pediatric Infectious Disease Telehealth Practices in North America

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has driven a significant increase in the use of telehealth (TH) but little is published about changes in TH usage by pediatric infectious disease (PID) providers. We assessed their pre- and intra-pandemic TH usage and experience.

METHODS

The Pediatric Infectious Diseases Society Telehealth Work Group surveyed PID specialists in the United States and Canada from 6 December 2020 until 26 February 2021. Data collected included TH modalities, barriers, and satisfaction.

RESULTS

The survey response rate was 11.3% (288 of 2,550 PID clinicians) with 243 (96% of 253 analysis-eligible responses) managing children only. Women accounted for 62.1% (n = 157), 51.4% (130) of respondents devoted 50-99% of their time to direct patient care, and 93.3% (236) were located in the United States. The greatest increase in TH usage during the pandemic was in synchronous provider-patient communications (3.9-fold increase). During the pandemic, provider-provider TH increased by less than 10%, comfort with TH usage doubled from 42% to 91%, and satisfaction grew from 74% to 93.3% with different aspects of TH. The top challenge was incomplete or no physical examination (182, 71.9%). Multivariate analysis showed that pre-pandemic TH usage and lack of barriers, but not reimbursement, were significantly associated with higher intra-pandemic usage. EMR-integrated TH was associated with significantly higher usage and satisfaction. Over 70% of respondents anticipate continuing TH usage after the pandemic.

CONCLUSIONS

There was high intra-pandemic usage of, and increased comfort and satisfaction with telehealth by PID specialists. Our data help inform post-pandemic TH expectations and strategies.

Location matters: Regional variation in association of community burden of COVID-19 with caregiver and youth worry

Our study characterized associations between three indicators of COVID-19's community-level impact in 20 geographically diverse metropolitan regions and how worried youth and their caregivers in the Adolescent Brain Cognitive Development℠ Study have been about COVID-19. County-level COVID-19 case/death rates and monthly unemployment rates were geocoded to participants' addresses. Caregivers' (vs. youths') COVID-19-related worry was more strongly associated with COVID-19's community impact, independent of sociodemographics and pre-pandemic anxiety levels, with these associations varying by location. Public-health agencies and healthcare providers should avoid adopting uniform "one-size-fits-all" approaches to addressing COVID-19-related emotional distress and must consider specific communities' needs, challenges, and strengths.

Factors Associated with Healthcare Delays Among Adults Over 50 During the COVID-19 Pandemic

Background

Adults over 50 have high healthcare needs, but also face high coronavirus disease 2019 (COVID-19)-related vulnerability. This may result in reluctance to enter public spaces, including healthcare settings. Here, we examined factors associated with healthcare delays among adults over 50 early in the COVID-19 pandemic.

Methods

Using data from the 2020 wave of the Health and Retirement Study (N=7615), we evaluated how race/ethnicity, age, geographic region, and pandemic-related factors were associated with healthcare delays.

Results

In our sample, 3 in 10 participants who were interviewed from March 2020 to June 2021 reported delays in medical or dental care in the early stages of the COVID-19 pandemic. Non-Hispanic Whites (OR: 1.37; 95% CI: 1.19-1.58) and those of other racial/ethnic backgrounds (OR: 1.31; 95% CI: 1.02-1.67) delayed care more than Non-Hispanic Blacks. Other factors associated with delayed care included younger age, living in the Midwest or West, knowing someone diagnosed with or who died from COVID-19, and having high COVID-19-related concerns. There were no differences in care delays among adults aged >70; however, among those ≤70, those who knew someone diagnosed with COVID-19 were more likely to delay care than those who did not. Additionally, among those ≤70, Non-Hispanic Whites and those of other racial/ethnic backgrounds delayed care more than Non-Hispanic Blacks and Hispanics.

Conclusions

There is considerable heterogeneity in care delays among older adults based on age, race/ethnicity, and pandemic-related factors. As the pandemic continues, future studies should examine whether these patterns persist.

COVID-19 Risk Factors and Predictors for Handwashing, Masking, and Social Distancing Among a National Prospective Cohort of U.S. Older Adults

Objectives

Older adults have a disproportionately higher COVID-19 risk; however, there is limited research investigating adherence to the major COVID-19 mitigation behaviors (handwashing, masking, social distancing) for older populations. We examined COVID-19 risk factors and predictors for adherence to COVID-19 mitigation behaviors among a national sample of US older adults.

Study design

Data were retrieved for 3257 respondents from a nationally representative prospective sample of US Medicare beneficiaries aged ≥65 years. COVID-19 variables were collected in 2020, whereas all other data were collected in 2019.

Methods

We used multiple logistic regression to analyze COVID-19 risk factors and predictors for handwashing, masking, and social distancing to minimize COVID-19 spread. All models applied survey sampling weights.

Results

Factors significantly associated with increased odds of COVID-19 diagnosis among US older adults were Hispanic ethnicity (adjusted odds ratio [aOR] = 2.83, P = .01), income (aOR = 0.71, P = .04), residential care or nursing home (aOR = 2.62, P = .01), and generalized anxiety disorder (aOR = 2.38, P = .04). We identified multiple factors significantly associated with adherence to handwashing, masking, and social distancing. Most notably, older males had a significantly lower odds of practicing all three COVID-19 mitigation behaviors, and Black older adults had a significantly higher odds of masking (aOR = 7.94, P < .001) and social distancing (aOR = 2.33, P = .01).

Conclusions

When prioritizing COVID-19 prevention efforts for older adults, risk factors that should be considered are race and ethnicity, income, residential setting, and anxiety. To effectively mitigate COVID-19 disease spread, public health professionals must also recognize sociodemographic and health factors may influence whether older adults adhere to handwashing, masking, and social distancing.

Analysis of a Pediatric Dental School Patient Population Revealed Increasing Trends of Limited English Proficiency (LEP) Patients: Implications for Pediatric Dental Public Health and Access to Care

Based upon the lack of current information regarding the pediatric patient population at UNLV-SDM, the overall goal of this project was to analyze the demographic characteristics of this population, indicators for socioeconomic status (SES), such as enrollment in Medicaid, and other barriers to healthcare access, such as non-English/non-Spanish languages spoken. Using an Institutional Review Board (IRB)-approved protocol, this analysis revealed the percentage of minority pediatric patients between 2010 and 2020 increased among African Americans, Asian Americans, and mixed or multiracial patients, while decreasing among Hispanics. Analysis of the Limited English Proficiency (LEP) patients and guardians found an overall increase in the number of non-English/non-Spanish languages spoken from n = 4 in 2010 to n = 21 in 2020 with no significant changes in Medicaid/CHIP enrollment identified between 2010 and 2020 (76.7%, 77.9%, p = 0.988). These data suggest the composition of the patient population has experienced significant shifts over time, with more patients of mixed racial backgrounds and increased numbers of Limited English Proficiency (non-English/non-Spanish foreign languages) spoken. These data may suggest there is an increased need for multilingual health materials, training, and translators for pediatric oral health within this population.

Mediating Effect of Viral Anxiety and Perceived Benefits of Physical Distancing on Adherence to Distancing Among High School Students Amid COVID-19

BACKGROUND

The aim of this study is to explore whether high school students' adherence to physical distancing was associated with health beliefs, social norms, and psychological factors during the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

Overall, 300 high school students participated in this anonymous online survey conducted from October 18-24, 2021. The survey included rating scales such as attitude toward physical distancing during the pandemic, Stress and Anxiety to Viral Epidemics-6 items (SAVE-6), Patient Health Questionnaire-9 items, Satisfaction with Life Scale, and Connor Davidson Resilience Scale 2-items.

RESULTS

The results revealed that perceived susceptibility or severity (β = -0.13, P = 0.038), perceived benefit (β = 0.32, P < 0.001), descriptive social norms (β = 0.10, P = 0.041), social injunctive norms (β = 0.19, P < 0.001), and SAVE-6 (β = 0.24, P < 0.001) predicted students' adherence to physical distancing (adjusted R² = 0.42, F = 19.2, P < 0.001). Social injunctive norms and personal injunctive norms directly influenced adherence to physical distancing. Viral anxiety, measured by SAVE-6, mediated the association between social injunctive norms and adherence to physical distancing, and perceived benefits mediated the relationship between personal injunctive norms and adherence to physical distancing. The influence of perceived susceptibility or severity on adherence to physical distancing was entirely mediated by perceived benefits or viral anxiety.

CONCLUSION

Explaining the rationale or benefits of physical distancing may be important in increasing adherence to physical distancing among high school students.