Geospatial Modeling of Deep Neural Visual Features for Predicting Obesity Prevalence in Missouri: Quantitative Study.

Background: The global obesity epidemic demands innovative approaches to understand its complex environmental and social determinants. Spatial technologies, such as geographic information systems, remote sensing, and spatial machine learning, offer new insights into this health issue. This study uses deep learning and spatial modeling to predict obesity rates for census tracts in Missouri.

Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri.

This research study investigates and predicts the obesity prevalence in Missouri, utilizing deep neural visual features extracted from medium-resolution satellite imagery (Sentinel-2). By applying a deep convolutional neural network (DCNN), the study aims to predict the obesity rate of census tracts based on visual features in the satellite imagery that covers each tract. The study utilizes Sentinel-2 satellite images, processed using the ResNet-50 DCNN, to extract deep neural visual features (DNVF).

Regional Differences in American Indian/Alaska Native Chronic Respiratory Disease Disparity: Evidence from National Survey Results.

American Indian/Alaska Native (AI/AN) persons in the US experience a disparity in chronic respiratory diseases compared to white persons. Using Behavioral Risk Factor Surveillance System (BRFSS) data, we previously showed that the AI/AN race/ethnicity variable was not associated with asthma and/or chronic obstructive pulmonary disease (COPD) in a BRFSS-defined subset of 11 states historically recognized as having a relatively high proportion of AI/AN residents. Here, we investigate the contributions of the AI/AN variable and other sociodemographic determinants to disease disparity in the remaining 39 US states and territories.

Exploring the Geospatial Relationship Between COVID-19 Positivity and Income in Mixed Urban-Rural Population.

The COVID-19 pandemic has had a deep influence on American life in general and on the American economy in particular. However, the burden of the pandemic has not been distributed equally among members of a population based on their social-determinants-of-health. The purpose of this study was to investigate whether the median income was associated with COVID-19 total number of tests and positivity rate in Boone County, Missouri during the pandemic.

Demographic and Time Trend Analysis of COVID-19 Test Results of Boone County, Missouri.

The COVID-19 pandemic has had deep influence on American life. However, the burden of the pandemic has not been distributed equally among members of a population based on their demographic features. The purpose of this study was to investigate whether sex, age, race, and religion were associated with COVID-19 positivity rates in Boone County, Missouri over a 22-month period (March 15, 2020 to December 2, 2021) of the pandemic.

The Role of Remote Sensing and Geospatial Analysis for Understanding COVID-19 Population Severity: A Systematic Review.

Remote sensing (RS), satellite imaging (SI), and geospatial analysis have established themselves as extremely useful and very diverse domains for research associated with space, spatio-temporal components, and geography. We evaluated in this review the existing evidence on the application of those geospatial techniques, tools, and methods in the coronavirus pandemic. We reviewed and retrieved nine research studies that directly used geospatial techniques, remote sensing, or satellite imaging as part of their research analysis.

Antimicrobial resistance from a One Health perspective in Zambia: a systematic review.

Background: Antimicrobial resistance (AMR) is widely acknowledged as a global health problem, yet its extent is not well evaluated, especially in low-middle income countries. It is challenging to promote policies without focusing on healthcare systems at a local level, therefore a baseline assessment of the AMR occurrence is a priority. This study aimed to look at published papers relating to the availability of AMR data in Zambia as a means of establishing an overview of the situation, to help inform future decisions.

Ethnic and National Differences in Congenital Adrenal Hyperplasia Incidence: A Systematic Review and Meta-Analysis.

Background: Congenital adrenal hyperplasia (CAH) is an autosomal recessive genetic disorder that causes defects in the adrenal cortex enzymes that impair the biosynthesis of cortisol, aldosterone, or both. The most common type is the 21-hydroxylase enzyme deficiency in approximately 95% of cases resulting from CYP21A2 gene mutations or deletions.

Objectives: This study aimed to systematically review the national differences in CAH incidence and analyze the pooled results to determine disparities and whether ethnicity can predispose people to develop CAH.

Patient and Provider Satisfaction With Pediatric Urology Telemedicine Clinic.

The use of telemedicine continues to grow as more patients are receptive to this innovative way of providing health care. Multiple publications in telemedicine indicated high satisfaction for this service. This study focuses on the use of telemedicine in a pediatric urology clinic and examines 3 research questions: (1) How did patients' parents/guardians feel about their video appointments? (2) What were the experiences of novice telemedicine providers conducting postsurgical appointments via video? and (3) How did novice telemedicine providers' experiences compare to those of expert telemedicine providers?

Similarities and Differences Between Rural and Urban Telemedicine Utilization.

Telemedicine has traditionally been used in rural areas, but the recent development of mHealth solutions has led to a growth in urban telemedicine services. The aim of this study was to determine whether urban and rural patients in a large academic medical center use telemedicine to access different healthcare specialties at different rates. This retrospective cohort study examined all telemedicine visits dated 2008-2017 at a large academic medical center.

Systematic review of approaches to use of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

Background: Despite a large body of literature investigating how the environment influences health outcomes, most published work to date includes only a limited subset of the rich clinical and environmental data that is available and does not address how these data might best be used to predict clinical risk or expected impact of clinical interventions.

Objective: Identify existing approaches to inclusion of a broad set of neighborhood-level risk factors with clinical data to predict clinical risk and recommend interventions.

Methods: A systematic review of scientific literature published and indexed in PubMed, Web of Science, Association of Computing Machinery (ACM) and SCOPUS from 2010 through October 2020 was performed.

Sociodemographic diversity in cancer clinical trials: New findings on the effect of race and ethnicity.

Background: Cancer clinical trials (CCT) offer significant potential benefit, not only for future patients but also for enrolled participants, yet a very small minority of cancer patients participate, resulting in low levels of enrollment that have stalled clinical trials dramatically. Though many have endeavored to study this phenomenon, relatively little research has explored the demographic factors which may affect CCT enrollment. Understanding patient demographics is critical to optimizing enrollment, evaluating generalizability, and ensuring equity of CCT.

The impact of project ECHO on physician preparedness to treat opioid use disorder: a systematic review.

Opioid use disorder (OUD) is a medical condition that has evolved into a serious and deadly epidemic in the United States. Both medical and psychological interventions are called for to end this growing epidemic, but too few health care professionals are trained to treat OUD. One proven model of training physicians and cross-disciplinary teams in treating a variety of disorders is exemplified by Project ECHO (Extension for Community Healthcare Outcomes), a collaborative tele-mentoring program in which specialists train health-care workers to treat medical conditions, especially those that affect underserved populations.

Evaluation of Patient Perceptions With Orthopedic Oncology Telehealth: A Pilot Project.

Telehealth has been used for decades to improve access to care for rural and underserved patients. The adoption of telehealth in orthopedic oncology is novel and expected to positively impact patient access and compliance. However, no previous evaluation has been published of this expected impact.

Digital Tumor Board Solutions Have Significant Impact on Case Preparation.

Purpose: Multidisciplinary tumor boards (TBs) are the gold standard for decision-making in cancer care. Variability in preparation, conduction, and impact is widely reported. The benefit of digital technologies to support TBs is unknown.

Assessing Impact of Show-Me ECHO on the Health of Missourians: Two Examples.

Show Me ECHO is a model for interprofessional collaboration that utilizes telehealth technologies to share evidence-based medical knowledge to improve patient outcomes and minimize variation in care for underserved populations. To measure ECHO outcomes, Show Me ECHO develops both an evaluation of clinical outcomes for patients as well as assessing learner outcomes on the Kirkpatrick Typology of Evaluation. This paper describes evaluation models for Dermatology and Childhood Asthma ECHOs.

Accelerating Care Through ECHO: Case Examples from the Field.

In this article, we describe three life-changing patient cases demonstrating high-quality and timely care they received in their communities, thanks to the Show-Me ECHO project. Early autism diagnosis, a potentially deadly tumor manifesting as a benign-looking rash, a recalcitrant case of hepatitis C: rural and underserved Missourians now have access to state-of-the-art care through their local providers receiving interdisciplinary telementoring on evidence based practices.

Telehealth and Telemedicine in Missouri.

Missouri is a national leader in telemedicine, and the Missouri Telehealth Network has led operational, legal and regulatory, and research and evaluation efforts since 1994. Telehealth and telemedicine have the potential to increase access to and efficiency of healthcare delivery, improve quality, and improve patient outcomes. Coverage and reimbursement rules vary by regulator, and Missouri enjoys a broad statutory definition of telehealth coverage and reimbursement parity (no distinction between in-person and telehealth services).

A Patient-Centric Health Information Exchange Framework Using Blockchain Technology.

Health Information Exchange (HIE) exhibits remarkable benefits for patient care such as improving healthcare quality and expediting coordinated care. The Office of the National Coordinator (ONC) for Health Information Technology is seeking patient-centric HIE designs that shift data ownership from providers to patients. There are multiple barriers to patient-centric HIE in the current system, such as security and privacy concerns, data inconsistency, timely access to the right records across multiple healthcare facilities.

Applying Blockchain Technology to Enhance Clinical Trial Recruitment.

Patient recruitment for clinical trials is known to be a challenging aspect of clinical research. There are multiple competing concerns from the sponsor, patient and principal investigator's perspectives resulting in most clinical trials not meeting recruitment requirements on time. Conducting under-enrolled clinical trials affects the power of conclusive results or causes premature trial termination.

An index of geospatial disadvantage predicts both obesity and unmeasured body weight.

Neighborhood context impacts health. Using an index of geospatial disadvantage measures to predict neighborhood socioeconomic disparities would support area-based allocation of preventative resources, as well as the use of location as a clinical risk factor in care of individual patients. This study tested the association of the Area Deprivation Index (ADI), a neighborhood-based index of socioeconomic contextual disadvantage, with elderly obesity risk.

Urban Disadvantage, Obesity, and Underweight in 31 Lower-Income Countries.

Although some studies have shown that obesity and other non-communicable diseases are more common in more disadvantaged areas, no publications to date have examined the interaction of obesity with urban and rural disadvantage in lower-income countries. This study analyzed the rates of obesity and underweight in disadvantaged urban women and disadvantaged rural women in 31 lower-income countries, and calculated the age-adjusted odds ratios of urban vs. rural obesity and underweight.

Applying Blockchain Technology for Health Information Exchange and Persistent Monitoring for Clinical Trials.

"Blockchain" is a distributed ledger technology originally applied in the financial sector. This technology ensures the integrity of transactions without third-party validation. Its functions of decentralized transaction validation, data provenance, data sharing, and data integration are a good fit for the needs of health information exchange and clinical trials.