Chronic respiratory disease disparity between American Indian/Alaska Native and white populations, 2011-2018.

BACKGROUND: American Indian/Alaska Native (AI/AN) populations have been disproportionately affected by chronic respiratory diseases for reasons incompletely understood. Past research into disease disparity using population-based surveys mostly focused on state-specific factors. The present study investigates the independent contributions of AI/AN racial status and other socioeconomic/demographic variables to chronic respiratory disease disparity in an 11-state region with historically high AI/AN representation. Using data from the Behavioral Risk Factor Surveillance System (BRFSS) spanning years 2011-2018, this work provides an updated assessment of disease disparity and potential determinants of respiratory health in AI/AN populations. METHODS: This cross-sectional study used data from the BRFSS survey, 2011-2018. The study population included AI/AN and non-Hispanic white individuals resident in 11 states with increased proportion of AI/AN individuals. The yearly number of respondents averaged 75,029 (62878-87,350) which included approximately 5% AI/AN respondents (4.5-6.3%). We compared the yearly adjusted prevalence for chronic respiratory disease, where disease status was defined by self-reported history of having asthma and/or chronic obstructive pulmonary disease (COPD). Multivariable logistic regression was performed to determine if being AI/AN was independently associated with chronic respiratory disease. Covariates included demographic (age, sex), socioeconomic (marital status, education level, annual household income), and behavioral (smoking, weight morbidity) variables. RESULTS: The AI/AN population consistently displayed higher adjusted prevalence of chronic respiratory disease compared to the non-Hispanic white population. However, the AI/AN race/ethnicity characteristic was not independently associated with chronic respiratory disease (OR, 0.93; 95% CI, 0.79-1.10 in 2017). In contrast, indicators of low socioeconomic status such as annual household income of <$10,000 (OR, 2.02; 95% CI, 1.64-2.49 in 2017) and having less than high school education (OR, 1.37; 95% CI, 1.16-1.63 in 2017) were positively associated with disease. These trends persisted for all years analyzed. CONCLUSIONS: This study highlighted that AI/AN socioeconomic burdens are key determinants of chronic respiratory disease, in addition to well-established risk factors such as smoking and weight morbidity. Disease disparity experienced by the AI/AN population is therefore likely a symptom of disproportionate socioeconomic challenges they face. Further promotion of public health and social service efforts may be able to improve AI/AN health and decrease this disease disparity.

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.

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).

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.

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. We analyzed the geospatial data using three heat maps showing the Census tract-wise COVID-19 positivity rate, Census tract-wise median income, and Census tract-wise total number of COVID-19 tests to highlight our study findings. Our study results support the hypothesis that individuals with lower median income tend to have a lower total number of COVID-19 tests and higher COVID-19 positivity rates in Boone County, Missouri. The Pearson correlation coefficient between the positivity rate and median income is -0.324.

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. METHODS: PubMed, Scopus, and LILACS were used to achieve results until June 22, 2018. Study eligibility criteria included availability of full-text; English, Spanish, or Portuguese languages; incidence or number of new cases; and number of live births or sample population. Only the classic CAH type (salt-wasting and simple-virilizing) was considered, and no distinction was made between the enzyme deficiency types. RESULTS: This study summarizes the findings of 58 studies and 31 countries (from 1969 to 2017), in which the overall CAH incidence was 1:9,498 (95% confidence interval: 1:9,089, 1:9,945). Countries from the Eastern Mediterranean and Southeast Asia revealed the highest CAH incidence. The lowest incidence was reported in countries of the Western Pacific of Asia. No remarkable difference was observed in the Hispanics/Latino and White groups. However, they manifested a higher incidence of CAH than people identified as Black or of African descent. Published studies on CAH incidence in the sub-Saharan African region and parts of Europe were insufficient. CONCLUSIONS: This study highlights the at-risk population for CAH and regions that need monitoring for CAH. The highest CAH incidence could be attributed to higher consanguinity, less genetic diversity, or other genetic causes since CAH is an inherited genetic disorder. Cultural practices in some places regarding consanguineous unions or geographic isolation may directly affect the incidence. Newborn screening for CAH may be unavailable in many developing countries, thereby affecting the actual CAH incidence. Therefore, healthcare workers should be trained to recognize CAH at an early stage to reduce its complications and mortality.

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. METHODS: PubMed, Cochrane Libraries, Medical Journal of Zambia and African Journals Online databases were searched from inception to April 2021 for articles published in English in accordance with the PRISMA guidelines. Retrieval and screening of article was done using a structured search protocol with strict inclusion/exclusion criteria. RESULTS: A total of 716 articles were retrieved, of which 25 articles met inclusion criteria for final analysis. AMR data was not available for six of the ten provinces of Zambia. Twenty-one different isolates from the human health, animal health and environmental health sectors were tested against 36 antimicrobial agents, across 13 classes of antibiotics. All the studies showed a degree of resistance to more than one class of antimicrobials. Majority of the studies focused on antibiotics, with only three studies (12%) highlighting antiretroviral resistance. Antitubercular drugs were addressed in only five studies (20%). No studies focused on antifungals. The most common organisms tested, across all three sectors, were Staphylococcus aureus, with a diverse range of resistance patterns found; followed by Escherichia coli with a high resistance rate found to cephalosporins (24-100%) and fluoroquinolones (20-100%). CONCLUSIONS: This review highlights three important findings. Firstly, AMR is understudied in Zambia. Secondly, the level of resistance to commonly prescribed antibiotics is significant across the human, animal, and environmental sectors. Thirdly, this review suggests that improved standardization of antimicrobial susceptibility testing in Zambia could help to better delineate AMR patterns, allow comparisons across different locations and tracking of AMR evolution over time.

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. We analyzed the data using age distribution histograms, two-way delta tables, and trend analysis graphs to highlight our study findings. We evaluated those graphs with each demographic feature across a collection of defined epochs of key events, such as vaccine release, Delta variant, vaccine boosters, and initial Omicron variant. Our results supported the hypothesis that males and minority races such as Black or African Americans and All-Other are more likely to have a higher COVID-19 positivity rate across our defined epochs.

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. Articles included studies from Europe, Somalia, the USA, Indonesia, Iran, Ecuador, China, and India. Two papers used only satellite imaging data, three papers used remote sensing, three papers used a combination of both satellite imaging and remote sensing. One paper mentioned the use of spatiotemporal data. Many studies used reports from healthcare facilities and geospatial agencies to collect the type of data. The aim of this review was to show the use of remote sensing, satellite imaging, and geospatial data in defining features and relationships that are related to the spread and mortality rate of COVID-19 around the world. This review should ensure that these innovations and technologies are instantly available to assist decision-making and robust scientific research that will improve the population health diseases outcomes around the globe.

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. METHODS: To better understand the effect of social determinants of health on CCT enrollment, the authors constructed a multivariable logistic regression model to analyze data collected in the last ten years in the CDC Behavioral Risk Factor Surveillance System (BRFSS) Survey, an annual national survey conducted among the non-institutionalized adult population of the U.S. RESULTS: In multivariable regression analysis, enrollment varied significantly with sociodemographic factors. Individuals of higher income, Hispanic ethnicity, and younger age were most likely to participate in CCTs. Enrollment did not vary significantly by educational attainment. CONCLUSION: Our multivariable analysis indicated people of color are more likely to participate in CCT, perhaps demonstrating that structural barriers shape participation more than race alone. Efforts to improve CCT enrollment may benefit from a shift in focus towards access to care by alleviating structural and financial barriers to enrollment.

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. This systematic review found that Project ECHO has the potential to effectively extend current services to patients suffering from OUD, but that there is also a gap in knowledge regarding this type of training. The articles that we reviewed all presented evidence that Project ECHO improves healthcare provider preparedness to treat OUD, especially in regard to improving knowledge and self-efficacy.

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. Visits were classified by clinical specialty. Teledermatology, child telepsychiatry, and adult telepsychiatry made up 97 percent of telemedicine visits. Rural patients were more likely to have multiple telehealth visits. A significant difference was observed between rural and urban use of telemedicine, both in terms of specialties and demographics. This suggests that health systems should consider adjusting resources and training to meet the different needs of these two populations. In particular, telemedicine may offer help for the nationwide maldistribution of adolescent psychiatry providers.

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?

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. The objective of this pilot project was to evaluate patients' perceptions regarding orthopedic oncology telehealth services. A 13-question satisfaction survey was distributed to patients who used tele-orthopedic oncology. Fifteen respondents (a response rate of 42%) reported satisfaction with services at 9.7 of 10. Median travel distance to the nearest in-person orthopedic oncologist was greater than 150 miles (241 km). These results are consistent with the previous findings of high satisfaction with telehealth in other specialties. Health care organizations are likely to benefit from offering telehealth to orthopedic oncology patients with limited access.

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. This study evaluated the impact of the NAVIFY Tumor Board solution (NTB) on TB preparation time across multiple user groups in 4 cancer categories: breast, GI, head and neck (ie, ear, nose, and throat, or ENT), and hematopathology. METHODS: This prospective study evaluated TB preparation time in multiple phases pre- and post-NTB implementation at an academic health care center. TB preparation times were recorded for multiple weeks using a digital time tracker. RESULTS: Preparation times for 59 breast, 61 GI, 36 ENT, and 71 hematopathology cancer TBs comparing a pre-NTB phase to 3 phases of NTB implementation were evaluated between February 2018 and July 2019. NTB resulted in significant reductions in overall preparation time (30%) across 3 TBs pre-NTB compared with the final post-NTB implementation phase. In the breast TB, NTB reduced overall preparation time by 28%, with a 76% decrease in standard deviation (SD). In the GI TB, a 23% reduction in average preparation time was observed for all users, with a 48% decrease in SD. In the ENT TB, a 33% reduction in average preparation time was observed for all users, with a 73% decrease in SD. The hematopathology TB, which was the cocreation partner and initial adopter of the solution, showed variable results. CONCLUSION: This study showed a significant impact of a digital solution on time preparation for TBs across multiple users and different TBs, reflecting the generalizability of the NTB. Adoption of such a solution could improve the efficiency of TBs and have a direct economic impact on hospitals.

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. After investigating the current workflow of HIE, this paper provides a feasible solution to these challenges by utilizing the unique features of blockchain, a distributed ledger technology which is considered "unhackable". Utilizing the smart contract feature, which is a programmable self-executing protocol running on a blockchain, we developed a blockchain model to protect data security and patients' privacy, ensure data provenance, and provide patients full control of their health records. By personalizing data segmentation and an "allowed list" for clinicians to access their data, this design achieves patient-centric HIE. We conducted a large-scale simulation of this patient-centric HIE process and quantitatively evaluated the model's feasibility, stability, security, and robustness.

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. We sampled 5066 Medicare beneficiaries at the University of Missouri between September 1, 2013 and September 1, 2014. We excluded patients with unknown street addresses, excluded body mass index (BMI) lower than 18 or higher than 62 as probable errors, and excluded patients with missing BMI data. We used a plot of simple proportions to examine the association between ADI and prevalence of obesity, defined as BMI of 30 and over. We found that obesity was significantly less prevalent in the least-disadvantaged ADI decile (decile 1) than in all other deciles (p < 0.05) except decile 7. Obesity prevalence within the other deciles (2-6 and 8-10) was not significantly distinguishable except that decile 2 was significantly lower than decile 4. Patients with missing BMI data were more likely to reside in the most disadvantaged areas. There was a positive association between neighborhood disadvantage and obesity in this Midwestern United States Medicare population. The association of missing BMI information with neighborhood disadvantage may reflect unmeasured gaps in care delivery to the most disadvantaged patients. These preliminary results support the continued study of neighborhood socioeconomic measures to identify health disparities in populations.

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. The odds of obesity were significantly (p<0.05) higher for urban populations in 16 of the 31 countries and in all aggregated regions; the evidence that underweight is also associated more with urban populations was mixed. Because obesity is a rapidly-growing threat to the public health and financial strength of lower-income countries, and urban disadvantage is associated with more obesity than rural disadvantage, policymakers should work to understand, predict, and prevent obesity in urban populations specifically.

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. The Blockchain is a distributed ledger technology originally applied in the financial sector. Its features as a peer-to-peer system with publicly audited transactions, data security, and patient privacy are a good fit for the needs of clinical trials recruitment. The "Smart Contract" is a programmable self-executing protocol that regulates the blockchain transactions. Given current recruitment challenges, we have proposed a blockchain model containing multiple trial-based contracts for trial management and patient engagement and a master smart contract for automated subject matching, patient recruitment, and trial-based contracts management.