Telehealth Visits have Lower Non-attendance than Traditional Orthopaedic Clinic Visits.

The use of telemedicine has rapidly expanded in the wake of the COVID pandemic, but its effect on patient attendance remains unknown for different clinicians. This study compared traditional in-clinic visits with telehealth visits by retrospectively reviewing all scheduled orthopaedic clinic visits. Results demonstrated lower rates of cancellations in patients scheduled for telehealth visits as compared to in-clinic visits, during the initial COVID pandemic. In general, physicians can expect a lower cancellation rate than non-physician practitioners.

Cutting Edge Developments in Spine Surgery at the University of Missouri.

The treatment of spinal pathologies has evolved significantly from the times of Hippocrates and Galen to the current era. This evolution has led to the development of cutting-edge technologies to improve surgical techniques and patient outcomes. The University of Missouri Health System is a high-volume, tertiary care academic medical center that serves a large catchment area in central Missouri and beyond. The Department of Neurosurgery has sought to integrate the best available technologies to serve their spine patients. These technological advancements include intra-operative image guidance, robotic spine surgery, minimally invasive techniques, motion preservation surgery, and interdisciplinary care of metastatic disease to the spine. These advances have resulted in safer surgeries with enhanced outcomes at the University of Missouri. This integration of innovation demonstrates our tireless commitment to ensuring excellence in the comprehensive care of a diverse range of patients with complex spinal pathologies.

Claims data analysis of provider-to-provider tele-mentoring program impact on opioid prescribing in Missouri.

OBJECTIVE: The objective of this study was to assess opioid prescribing patterns of primary care providers (PCPs) participating in a virtual tele-mentoring program for patients with chronic pain as compared to nonparticipants. DESIGN: We utilized Missouri Medicaid claims from 2013 to 2021 to compare opioid prescription dosages and daily supply of opioids prescribed by PCPs. Participants and nonparticipants were matched using propensity score matching. SETTING: Missouri Medicaid data were received through partnership with the Center for Health Policy's MO HealthNet Data Project, the state's leading provider of Medicaid data. PARTICIPANTS: Missouri-based prescribers. INTERVENTION: Show-Me Project Extension for Community Healthcare Outcomes (ECHO), an evidence-based provider-to-provider telehealth intervention that connects PCPs with a team of specialists. MAIN OUTCOME MEASURES: We compared the rate of prescription opioid >50 morphine milligram equivalents (MMEs), mean MMEs/day, and mean number of daily supply to understand the impact of the ECHO model on providers' opioid prescribing. RESULTS: Patients treated by ECHO providers have 33 percent lower odds of being prescribed opioid dose >50 MME/day (p < 0.001) compared to non-ECHO providers. There is also a 14 percent reduction in the average opioid dose prescribed to patients of ECHO providers (p < 0.001). We observed a 3 percent (p < 0.001) reduction in average daily supply of opioids among patients of ECHO providers compared to the comparison group. CONCLUSIONS: Pain Management ECHO supports PCPs with needed education and skills to provide specialty care in the management of pain conditions and safe prescribing of opioid medications.

Preexisting Diabetes and Breast Cancer Treatment Among Low-Income Women.

IMPORTANCE: Diabetes is associated with poorer prognosis of patients with breast cancer. The association between diabetes and adjuvant therapies for breast cancer remains uncertain. OBJECTIVE: To comprehensively examine the associations of preexisting diabetes with radiotherapy, chemotherapy, and endocrine therapy in low-income women with breast cancer. DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study included women younger than 65 years diagnosed with nonmetastatic breast cancer from 2007 through 2015, followed up through 2016, continuously enrolled in Medicaid, and identified from the linked Missouri Cancer Registry and Medicaid claims data set. Data were analyzed from January 2022 to October 2023. EXPOSURE: Preexisting diabetes. MAIN OUTCOMES AND MEASURES: Logistic regression was used to estimate odds ratios (ORs) of utilization (yes/no), timely initiation (≤90 days postsurgery), and completion of radiotherapy and chemotherapy, as well as adherence (medication possession ratio ≥80%) and persistence (<90-consecutive day gap) of endocrine therapy in the first year of treatment for women with diabetes compared with women without diabetes. Analyses were adjusted for sociodemographic and tumor factors. RESULTS: Among 3704 women undergoing definitive surgery, the mean (SD) age was 51.4 (8.6) years, 1038 (28.1%) were non-Hispanic Black, 2598 (70.1%) were non-Hispanic White, 765 (20.7%) had a diabetes history, 2369 (64.0%) received radiotherapy, 2237 (60.4%) had chemotherapy, and 2505 (67.6%) took endocrine therapy. Compared with women without diabetes, women with diabetes were less likely to utilize radiotherapy (OR, 0.67; 95% CI, 0.53-0.86), receive chemotherapy (OR, 0.67; 95% CI, 0.48-0.93), complete chemotherapy (OR, 0.71; 95% CI, 0.50-0.99), and be adherent to endocrine therapy (OR, 0.71; 95% CI, 0.56-0.91). There were no significant associations of diabetes with utilization (OR, 0.95; 95% CI, 0.71-1.28) and persistence (OR, 1.09; 95% CI, 0.88-1.36) of endocrine therapy, timely initiation of radiotherapy (OR, 1.09; 95% CI, 0.86-1.38) and chemotherapy (OR, 1.09; 95% CI, 0.77-1.55), or completion of radiotherapy (OR, 1.25; 95% CI, 0.91-1.71). CONCLUSIONS AND RELEVANCE: In this cohort study, preexisting diabetes was associated with subpar adjuvant therapies for breast cancer among low-income women. Improving diabetes management during cancer treatment is particularly important for low-income women with breast cancer who may have been disproportionately affected by diabetes and are likely to experience disparities in cancer treatment and outcomes.

Role of Functional neurosurgery in Improving Patient Outcomes in Epilepsy, Movement Disorders, and Chronic Pain.

Functional neurosurgery encompasses surgical procedures geared towards treating movement disorders (such as Parkinson's disease and essential tremor), drug-resistant epilepsy, and various types of pain disorders. It is one of the most rapidly expanding fields within neurosurgery and utilizes both traditional open surgical methods such as open temporal lobectomy for epilepsy as well as neuromodulation-based treatments such as implanting brain or nerve stimulation devices. This review outlines the role functional neurosurgery plays in treatment of epilepsy, movement disorders, and pain, and how it is being implemented at the University of Missouri by the Department of Neurosurgery.

Operation CoVER Saint Louis (COVID-19 Vaccine in the Emergency Room): Impact of a Vaccination Program in the Emergency Department.

Introduction: Coronavirus 2019 (COVID-19) inequitably impacted minority populations and regions with limited access to healthcare resources. The Barnes-Jewish Emergency Department in St. Louis, MO, serves such a population. The COVID-19 vaccine is an available defense to help achieve community immunity. The emergency department (ED) is a potential societal resource to provide access to a vaccination intervention. Our objective in this study was to describe and evaluate a novel ED COVID-19 vaccine program, including its impact on the local surrounding underserved community. Methods: This was a retrospective, post-protocol implementation review of an ED COVID-19 vaccination program. Over the initial six-month period, we compiled data on all vaccinated patients out of the ED to evaluate demographic data and the impact on underserved regional areas. Results: We report a successful ED-based COVID-19 vaccine program (with over 1,000 vaccines administered). This program helped raise regional and state vaccination rates. Over 50% of the population that received the COVID-19 vaccine from the ED were from defined socially vulnerable patient populations. No adverse effects were documented. Conclusion: Operation CoVER (COVID-19 Vaccine in the Emergency Room) Saint Louis was able to successfully vaccinate a socially vulnerable patient population. This free, COVID-19 ED-based vaccine program with dedicated pharmacy support, was novel in emergency medicine practice. Similar ED-based vaccine programs could help with future vaccine distribution.

Through the eyes of community health workers: what was needed to increase COVID-19 vaccine uptake in the Missouri Southeast region.

Public health emergencies, such as the COVID-19 pandemic, elucidate the strengths, weaknesses, and significant gaps in infrastructure, compatibility and consistency in communication systems, as well as the quality of collaborative relationships, and provider and workforce capacity. They also expose longstanding patterns of mistrust in the government and healthcare systems, and inadequacy in socio-economic infrastructures. These issues resulted in higher COVID-19 infection and mortality rates, and lower vaccination rates in many rural counties across the nation, including Missouri. In response to these challenges, the COVID-19 Response Network was formed in the Southeast corner of the state. The Network was a community-academic partnership that brought together community and faith-based leaders, academicians, healthcare providers and administrators, public health practitioners, and pharmacists to facilitate collaboration on education and outreach efforts aimed at reducing vaccine inequity in the 16-county project area. Importantly, the Network also included Community Health Workers (CHWs) who worked with these different agencies and organizations and were at the heart of implementing Network activities. The intent of this study was to assess their perspectives on the factors that influenced community engagement and communication strategies, and increased vaccine uptake in rural Missouri. Qualitative methods, including in-depth interviews, were used to explore the professional and personal experiences of CHWs working at the grassroots level during an ongoing pandemic. Narrative analysis revealed effective communication and engagement strategies for increasing vaccine uptake in rural communities. For instance, fear-based messaging was perceived as coercive and met with resistance. In contrast, messages that shared personal experiences and catered to the human need to protect their loved ones were more effective. Trust in the source of information was critical. This study highlights the significance of exploring and leveraging the capacities of trusted community members like CHWs to increase the effectiveness of public health interventions in rural communities.

Emergency department visits for dog bite injuries in Missouri municipalities with and without breed-specific legislation: a propensity score-matched analysis.

Breed-Specific Legislation is a type of law that bans or restricts ownership of specific dog breeds. Some local governments - including over seventy municipalities in the state of Missouri - have enacted Breed-Specific Legislation to prevent injuries from dog bites. Several studies from the peer-reviewed literature have found that aggressive behavior is not associated with any particular dog breeds and, since 2018, at least a dozen municipalities in Missouri have repealed these laws. To evaluate the impact of Breed-Specific Legislation on public safety, the 2010-2015 rates of emergency department visits for dog bite-related injuries in Missouri municipalities with and without Breed-Specific Legislation were compared. Propensity-score matched negative binomial regression models were used to assess the effect of breed restrictions on injury rates while balancing the samples on population characteristics and estimates of dog ownership. After matching the sample on population, housing and dog ownership estimates, no association was found between emergency department visits for dog bite injuries and whether the municipality enacted Breed-Specific Legislation. However, the incidence rate ratio of emergency room visits for dog bite-related injuries increased by 13.8% for every 1% increase in the percentage of males aged 5 to 9 in the population (p < 0.01). This study has found breed discriminatory laws have not reduced the risk of emergency department visits for injury from dog bites in Missouri. There appears to be no greater risk to public safety as local governments move to repeal existing breed bans.

Use of Simulation For Training Advanced Colorectal Procedures.

OBJECTIVE: Simulation training for minimally invasive colorectal procedures is in developing stages. This study aims to assess the impact of simulation on procedural knowledge and simulated performance in laparoscopic low anterior resection (LLAR) and robotic right colectomy (RRC). DESIGN: LLAR and RRC simulation procedures were designed using human cadaveric models. Resident case experience and simulation selfassessments scores for operative ability and knowledge were collected before and after the simulation. Colorectal faculty assessed resident simulation performance using validated assessment scales (OSATS-GRS, GEARS). Paired t-tests, unpaired t-tests, Pearson's correlation, and descriptive statistics were applied in analyses. SETTING: Barnes-Jewish Hospital/Washington University School of Medicine in St. Louis, Missouri. PARTICIPANTS: Senior general surgery residents at large academic surgery program. RESULTS: Fifteen PGY4/PGY5 general surgery residents participated in each simulation. Mean LLAR knowledge score increased overall from 10.0 ±  2.0 to 11.5  ±  1.6 of 15 points (p = 0.0018); when stratified, this increase remained significant for the PGY4 cohort only. Mean confidence in ability to complete LLAR increased overall from 2.0 ±  0.8 to 2.8  ± 0.9 on a 5-point rating scale (p = 0.0013); when stratified, this increase remained significant for the PGY4 cohort only. Mean total OSATS GRS score was 28  ±  6.3 of 35 and had strong positive correlation with previous laparoscopic colorectal experience (r = 0.64, p = 0.0092). Mean RRC knowledge score increased from 9.4 ±  2.2 to 11.1 ±  1.5 of 15 points (p = 0.0030); when stratified, this increase again remained significant for the PGY4 cohort only. Mean confidence in ability to complete RRC increased from 1.9 ±  0.9 to 3.2  ±  1.1 (p = 0.0002) and was significant for both cohorts. CONCLUSIONS: Surgical trainees require opportunities to practice advanced minimally invasive colorectal procedures. Our simulation approach promotes increased procedural knowledge and resident confidence and offers a safe complement to live operative experience for trainee development. In the future, simulations will target trainees on the earlier part of the learning curve and be paired with live operative assessments to characterize longitudinal skill progression.

New duck papillomavirus type identified in a mallard in Missouri, USA.

Papillomaviruses are small circular DNA viruses that infect epithelial and mucosal cells and have co-evolved with their hosts. Some papillomaviruses in mammals are well studied (especially those associated with disease). However, there is limited information on papillomaviruses associated with avian hosts. From a cloacal swab sample of a mallard (Anas platyrhynchos) sampled in Missouri, USA (6 Jan 2023), we identified a papillomavirus (7839 nt) that shares ~68% genome-wide nucleotide sequence identity with Anas platyrhynchos papillomavirus 1 (AplaPV1) from a mallard sampled in Newfoundland (Canada) and ~40% with AplaPV2 from a mallard sampled in Minnesota (USA) with mesenchymal dermal tumors. The papillomavirus we identified shares 73.6% nucleotide sequence identity in the L1 gene with that of AplaPV1 and thus represents a new AplaPV type (AplaPV3). The genome sequence of AplaPV3 shares >97% identity with three partial PV genome sequences (1316, 1997, and 4241 nt) identified in a mallard in India, indicating that that virus was also AplaPV3.

Geographic disparities and predictors of COVID-19 vaccination in Missouri: a retrospective ecological study.

Background: Limited information is available on geographic disparities of COVID-19 vaccination in Missouri and yet this information is essential for guiding efforts to improve vaccination coverage. Therefore, the objectives of this study were to (a) investigate geographic disparities in the proportion of the population vaccinated against COVID-19 in Missouri and (b) identify socioeconomic and demographic predictors of the identified disparities. Methods: The COVID-19 vaccination data for time period January 1 to December 31, 2021 were obtained from the Missouri Department of Health. County-level data on socioeconomic and demographic factors were downloaded from the 2020 American Community Survey. Proportions of county population vaccinated against COVID-19 were computed and displayed on choropleth maps. Global ordinary least square regression model and local geographically weighted regression model were used to identify predictors of proportions of COVID-19 vaccinated population. Results: Counties located in eastern Missouri tended to have high proportions of COVID-19 vaccinated population while low proportions were observed in the southernmost part of the state. Counties with low proportions of population vaccinated against COVID-19 tended to have high percentages of Hispanic/Latino population (p = 0.046), individuals living below the poverty level (p = 0.049), and uninsured (p = 0.015) populations. The strength of association between proportion of COVID-19 vaccinated population and percentage of Hispanic/Latino population varied by geographic location. Conclusion: The study findings confirm geographic disparities of proportions of COVID-19 vaccinated population in Missouri. Study findings are useful for guiding programs geared at improving vaccination coverage and uptake by targeting resources to areas with low proportions of vaccinated individuals.

Modeling county level COVID-19 transmission in the greater St. Louis area: Challenges of uncertainty and identifiability when fitting mechanistic models to time-varying processes.

We use a compartmental model with a time-varying transmission parameter to describe county level COVID-19 transmission in the greater St. Louis area of Missouri and investigate the challenges in fitting such a model to time-varying processes. We fit this model to synthetic and real confirmed case and hospital discharge data from May to December 2020 and calculate uncertainties in the resulting parameter estimates. We also explore non-identifiability within the estimated parameter set. We find that the death rate of infectious non-hospitalized individuals, the testing parameter and the initial number of exposed individuals are not identifiable based on an investigation of correlation coefficients between pairs of parameter estimates. We also explore how this non-identifiability ties back into uncertainties in the estimated parameters and find that it inflates uncertainty in the estimates of our time-varying transmission parameter. However, we do find that R0 is not highly affected by non-identifiability of its constituent components and the uncertainties associated with the quantity are smaller than those of the estimated parameters. Parameter values estimated from data will always be associated with some uncertainty and our work highlights the importance of conducting these analyses when fitting such models to real data. Exploring identifiability and uncertainty is crucial in revealing how much we can trust the parameter estimates.

Assessment of census-tract level socioeconomic position as a modifier of the relationship between short-term PM2.5 exposure and cardiovascular emergency department visits in Missouri.

INTRODUCTION: Ambient particulate matter ≤ 2.5 µm in aerodynamic diameter (PM2.5) exposure elevates the risk for cardiovascular disease morbidity (CVDM). The aim of this study is to characterise which area-level measures of socioeconomic position (SEP) modify the relationship between PM2.5 exposure and CVDM in Missouri at the census-tract (CT) level. METHODS: We use individual level Missouri emergency department (ED) admissions data (n=3 284 956), modelled PM2.5 data, and yearly CT data from 2012 to 2016 to conduct a two-stage analysis. Stage one uses a case-crossover approach with conditional logistic regression to establish the baseline risk of ED visits associated with IQR changes in PM2.5. In the second stage, we use multivariate metaregression to examine how CT-level SEP modifies the relationship between ambient PM2.5 exposure and CVDM. RESULTS: We find that overall, ambient PM2.5 exposure is associated with increased risk for CVDM. We test effect modification in statewide and urban CTs, and in the warm season only. Effect modification results suggest that among SEP measures, poverty is most consistently associated with increased risk for CVDM. For example, across Missouri, the highest poverty CTs are at an elevated risk for CVDM (OR=1.010 (95% CI 1.007 to 1.014)) compared with the lowest poverty CTs (OR=1.004 (95% CI 1.000 to 1.008)). Other SEP modifiers generally display an inconsistent or null effect. CONCLUSION: Overall, we find some evidence that area-level SEP modifies the relationship between ambient PM2.5 exposure and CVDM, and suggest that the relationship between air-pollution, area-level SEP and CVDM may be sensitive to spatial scale.

Cardiovascular disease and maternal mortality: perceptions in a Midwest birthing population.

BACKGROUND: Missouri has one of the highest rates of maternal mortality in the United States. To date, there are currently no studies describing birthing peoples' knowledge or perceptions of contributing causes of maternal mortality. An improved understanding of population-specific knowledge can help to define how best to design targeted interventions to reduce disease-specific causes of maternal mortality. OBJECTIVE: This study aimed to examine the knowledge and understanding of maternal mortality in a Missouri birthing population. STUDY DESIGN: A 46-question, cross-sectional survey to assess the familiarity with local maternal mortality rates, groups affected, and causality was developed by the Missouri Perinatal Quality Collaborative and the Maternal-Child Learning and Action Network and emailed to a random sample of birthing people across Missouri. Those who identified as someone with birthing potential with a Missouri zip code and who were ≥18 years of age were eligible for inclusion. Unadjusted descriptive statistics were generated and stratified by age, race, and region. RESULTS: Among 2196 surveys sent, 1738 people completed the survey. Of those who responded, 78.2% were aware of the risk of pregnancy-related death with 14.7% reporting that they intimately knew someone who died. When asked if a certain group is affected disproportionately more, 66.4% responded affirmatively. Black (58.7%), uninsured (61.8%), poor (71.0%), those with substance abuse disorders (57.4%), and Native American (28.8%) birthing people were identified as groups that were perceived as suffering higher rates of maternal death. When polled on etiology, severe bleeding (56.9%) was believed to be the leading cause of death, and the second stage of labor was thought to be the period of highest risk (42.3%). Beliefs about the timing of death differed by age (P=.042) but not race (P=.81) or region (P=.191). CONCLUSION: Missouri birthing people are cognizant of the social factors associated with increased maternal mortality but are unaware of the leading causes of death, namely cardiovascular disease and mental health conditions. Future Perinatal Quality Collaborative work should focus on campaigns that raise public awareness about cardiovascular disease and mental health-related birthing risks and the importance of monitoring early warning signs after delivery.