Trends in Obesity-Related Mortality and Racial Disparities.

BACKGROUND: Across the globe, obesity stands as a prominent public health concern, linked to a heightened susceptibility to a range of metabolic and cardiovascular disorders. This study reveals a disproportionate impact of obesity on African American (AA) communities, irrespective of socioeconomic status. Structural racism plays a critical role in perpetuating healthcare disparities between AA and other racial/ethnic groups in the United States. These disparities are reflected in limited access to nutritious food, safe exercise spaces, health insurance, and medical care, all of which significantly influence healthcare outcomes and obesity prevalence. Additionally, both conscious and unconscious interpersonal racism adversely affect obesity care, outcomes, and patient-healthcare provider interactions among Blacks. STUDY OBJECTIVE: This study aims to analyze and compare obesity-related mortality rates among AAs, Whites, and other racial groups. METHODOLOGY: We queried the CDC WONDER dataset, incorporating all US death certificates. During data extraction, various ICD 10 codes were used to denote different obesity categories: E66.1 (drug-induced obesity), E66.2 (severe obesity with alveolar hypoventilation), E66.3 (overweight), E66.8 (other forms of obesity), E66.9 (unspecified obesity), E66.0 (obesity due to excess calorie intake), E66.01 (severe obesity due to excess calories), and E66.09 (other forms of obesity caused by excess calorie intake). Our study encompassed decedents aged ≥15 years, with obesity-related diseases as the underlying cause of death from 2018 to 2021. Sex- and race-specific obesity-related mortality rates were examined for AAs, Whites, and other races. Resultant mortality trends were computed and presented as ratios comparing AA and White populations. RESULTS: This study reveals lower obesity-related mortality rates in AAs compared to Whites. Furthermore, women exhibited higher rates than men. In the 15 to 24 age bracket, males comprised 60.11% of the 361 deaths, whereas females made up 39.89%. In this demographic, 35.46% of deaths were among Blacks, with 64.54% among Whites. Within the 25 to 34 age group, females constituted 37.26% of the 1943 deaths, and males 62.74%. Whites made up 62.94% of the fatalities, Blacks 33.40%, with other racial groups accounting for the remainder. These trends extended through the 35-44, 45-54, 55-64, 65-74, and 75+ age categories, with variations in death proportions among genders and races. Whites consistently accounted for the highest death percentages across all age groups, followed by Blacks. Our data indicate that obesity-related mortality tends to occur earlier in life. CONCLUSION: Our results corroborate previous studies linking elevated mortality risk to obesity and overweight conditions. The uniformity of our findings across age groups, as well as genders, supports the proposal for applying a single range of body weight throughout life. Given the ongoing rise in obesity and overweight conditions across the United States, excess mortality rates are projected to accelerate, potentially leading to decreased life expectancy. This highlights the urgency for developing and implementing effective strategies to control and prevent obesity nationwide.

Examining Disparities in Ownership and Use of Digital Health Technology Between Rural and Urban Adults in the US: An Analysis of the 2019 Health Information National Trends Survey.

BACKGROUND: Although research shows that digital health tools (DHT) are increasingly integrated with healthcare in the United States, very few studies have investigated the rural-urban differences in DHT adoption at the national level. Individuals in rural communities experience disproportionately greater rates of chronic diseases and face unique challenges in accessing health care. Studies have shown that digital technology can improve access and support rural health by overcoming geographic barriers to care. OBJECTIVE:  To evaluate the rates of ownership and preferences for utilization of DHT as a measure of interest among rural adults compared to their urban counterparts in the United States using a National Inpatient Survey. METHODS:  Data was drawn from the 2019 (n= 5438) iteration of the Health Information National Trends Survey (HINTS 5 cycle 3). Chi-square tests and weighted multivariable logistic regressions were conducted to examine rural-urban differences regarding ownership, usage, and use of digital health tools to interact with health care systems while adjusting for health-related characteristics and sociodemographic factors. RESULTS: The ownership rates of digital health technology (DHT) devices, including tablets, smart phones, health apps, and wearable devices, were comparable between rural and urban residents. For tablets, the ownership rates were 54.52% among rural residents and 60.24% among urban residents, with an adjusted odds ratio (OR) of 0.87 (95% confidence interval {CI}: 0.61, 1.24). The ownership rates of health apps were 51.41% and 53.35% among rural and urban residents, respectively, with an adjusted OR of 0.93 (95% CI: 0.62, 1.42). For smartphones, the ownership rates were 81.64% among rural residents and 84.10% among urban residents, with an adjusted OR of 0.81 (95% CI: 0.59, 1.11). Additionally, rural residents were equally likely to use DHT in managing their healthcare needs. Both groups were equally likely to have reported their smart device as helpful in discussions with their healthcare providers (OR 0.90; 95% CI 63 - 1.30; p = 0.572). Similarly, there were similar odds of reporting that DHT had helped them to track progress on a health-related goal (e.g., quitting smoking, losing weight, or increasing physical activity) (OR 1.17; 95% CI 0.75 - 1.83; p = 0.491), and to make medical decisions (OR 1.05; 95% CI 0.70 - 1.59; p = 0.797). However, they had lower rates of internet access and were less likely to use DHT for communicating with their healthcare providers. CONCLUSION:  We found that rural residents are equally likely as urban residents to own and use DHT to manage their health. However, they were less likely to communicate with their health providers using DHT. With increasing use of DHT in healthcare, future research that targets reasons for geographical digital access disparities is warranted.

Antibiogram at a Rural Hospital Against the Background of COVID-19: A Five-Year Retrospective Review.

Background and objective The role of the antibiogram in reducing hospital length of stay (LOS), mortality rate, health care costs, and, by extension, patients' social, physical, and emotional wellness has a significant impact on the medical community. Hospitals in large cities serve a dynamic population of diverse ethnic groups. Many scholarly works and publications have shown that the antimicrobial pattern in rural settings has significant variability annually. Over the last two years, the spread of coronavirus disease 2019 (COVID-19) has brought about many unknowns in the sphere of healthcare. The pattern of pathology accompanying COVID-19 has affected hospital policies and direct patient management, leading to a paradigm shift in approaches, policies, and resource utilization. The years 2019 to 2021 were marked by many admissions due to COVID-19, and the effects of COVID-19 are still being studied. In light of this, this study examined the changes in sensitivity patterns, new trends, and nature of bacteria isolates, antimicrobial rates, and susceptibility based on a rural hospital's annual antibiogram pertaining to its central departments: the intensive care unit (ICU), patient care unit (PCU), the outpatient unit, and emergency department (ED). Methods This five-year retrospective antibiogram review compared antibiogram patterns two years before the first case of COVID-19 was reported in the hospital and those two years after the initial outbreak. Results The organism comparative susceptibility tests for Escherichia coli (E. coli) were not significant except for increased susceptibility toward nitrofurantoin (p=0.003); Klebsiella pneumoniae (K. pneumoniae) was also not significant except for the increased susceptibility to ciprofloxacin (p=0.003). Pseudomonas aeruginosa (P. aeruginosa) had no changes in susceptibility patterns, while Proteus mirabilis (P. mirabilis) had increased susceptibility to imipenem (p=0.05), aztreonam (p=0.00), and meropenem (p=0.004), with reduced susceptibility to gentamicin (97.47% vs. 88.24%, p=0.006). There was a whopping decrease in the sensitivity of methicillin-resistant Staphylococcus aureus (MRSA) to clindamycin (75.93% vs. 50.7%, p=0.000), linezolid (99.54% vs. 88.73, p=0.004), trimethoprim/sulfamethoxazole (92.59% vs. 74.65%, p=0.001), and vancomycin (99.54% vs. 88.73%, p=0.004). Staphylococcus aureus (S. aureus) had no significant variation except an increase in susceptibility to nitrofurantoin (p=0.023), and perhaps ironically, Streptococcus pneumoniae (S. pneumoniae) had no significant changes in susceptibility pattern. Conclusion Our data demonstrate that the susceptibility of different drugs against different bacterial pathogens varied. However, some antibiotic drugs were found to have high susceptibility against different isolated organisms, and these drugs include amikacin, levofloxacin, vancomycin, cefotaxime, nitrofurantoin, and ceftriaxone. Some organisms showed a significantly declined antibiotic susceptibility, while others showed a significant improvement. The role of COVID-19 regarding these changes is unknown. COVID-19 may not be the cause of the observed differences. We believe that further research on antibiotic legislation and prescribing trends is required. Other non-significant study findings may be attributed to the limited data available to us.

Approaches to Medication Administration in Patients With Lack of Insight.

Lack of insight typically complicates psychiatric presentations, necessitating careful thought and planning to choose the best course of treatment. Exploring methods of medication administration techniques in the context of a lack of insight is crucial to achieving the ultimate goal of overcoming the insight barrier as rapidly as possible, which will result in therapeutic benefit. This study's objective was to systematically review the evidence on medication administration techniques in a backdrop of lack of insight and how that evidence was curated in the scientific literature. This study used the literature search strategy, which entails retrieving and analyzing the existing scientific literature pertinent to medication administration techniques for individuals with no insight between 2010 and 2022. Accessing online databases, such as PubMed, Google Scholar, and Medline was utilized in this study's literature search strategy. In our findings, in the primary evidence search, no randomized control trial (RCT) comparing the various models of medication administration with a lack of insight was found. No study provided data on the superiority of utility, quality of life, or efficacy outcome. Some 17 scientific papers were identified that cited various trials about lack of insight and medication use and met the inclusion criteria. We concluded that it could be challenging to administer medication to patients who lack insight. Nonetheless, progress has been made to mitigate this obstacle. Common moral values, common sense, medicolegal support, person-centered integrated care, and cutting-edge medication techniques may play a role. However, these models of medication administration are still evolving, along with the ethical concerns accompanying them. Hopefully, the available models discussed in this analysis will serve as a foundation for future developments. Nonetheless, much remains to be done. We encourage contemporary research to investigate safer and more dynamic methods that can alleviate this condition.