Saving Hearts in Rural West Texas: The Impact of Critical Care Access on Mortality Rates

Background The Critical Access Hospital (CAH) designation program was created in 1997 by the US Congress to reduce the financial vulnerability of rural hospitals and improve access to healthcare by keeping fundamental services in rural communities. Methods This is a retrospective observational study. Information on CAHs in West Texas in rural counties was extrapolated from the Flex Monitoring Team between 2010 and 2020. The study population included adults aged ≥25 years with a known heart failure (HF) diagnosis who were identified using ICD-10 codes. Mortality rates were obtained from the CDC Wide-ranging ONline Data for Epidemiologic Research (WONDER) database. The HF population was categorized by age, sex, and ethnicity. Mortality differences among these groups were analyzed using a two-sample t-test. The significance level was considered to be p < 0.05. Results The total study population analyzed was 1,348,001. A statistically significant difference in age-adjusted mortality rate (AAMR) was observed between the study and control groups, with a value of 3.200 (95% CI: 3.1910-3.2090, p < 0.0001) in favor of a lower mortality rate in rural counties with CAHs. When comparing gender-related differences, males and females had lower AAMRs in rural counties with CAHs. Among each gender, statistically significant differences were noted between males (95% CI: 2.181-2.218, p < 0.001) and females (95% CI: 3.382-3.417, p < 0.001). When examining the data by ethnicity, the most significant difference in mortality rate was observed within the Hispanic population, 6.400 (95% CI: 6.3770-6.4230, p < 0.0001). When adjusted to age, the crude mortality rate was calculated, which favored CAH admission in the younger population (10.200 (95% CI: 10.1625-10.2375, p < 0.001) and 11.500 (95% CI: 11.4168-11.5832, p < 0.001) in the 55-64 and 65-74 age groups, respectively). Conclusion The data clearly showed that West Texas rural county hospitals that received CAH designation performed better in terms of mortality rates in the HF population compared to non-CAH.

Diabetes Mellitus Mortality Trends in Brazil From 2000 to 2021: An In-Depth Joinpoint Analysis

Diabetes mellitus (DM) is a public health concern in Brazil, with deleterious effects on quality of life and increasing mortality rates. The prevalence of diabetes in Brazil is on the rise, and it is imperative to understand its effects on mortality rates in the last two decades in order to effectively mitigate the detrimental impact of diabetes on public health. This study aims to analyze mortality trends related to diabetes in Brazil from 2000 to 2021, encompassing both type 1 and type 2 diabetes, across sex and various age cohorts. Using joinpoint regression analysis, temporal trends in Brazil were assessed, while also incorporating findings from previous studies and considering potential influencing factors, such as government initiatives and cuts in healthcare investment. The study revealed a general upward trend in mortality rates associated with DM1 and DM2 over the study period, in both males and females, with men showing a higher AAPC (average annual percent change), which translated into significantly increased mortality difference at the end of the study. Additionally, it revealed elevated mortality values for extreme age groups in the age cohorts studied, with the exception of middle-aged cohort groups in DM2, which showed an expected higher APC (annual percent change), considering the age of highest incidence of DM2 in those age groups. This comprehensive analysis provides critical insights into the escalating impact of diabetes on mortality rates in Brazil and highlights the urgent need for healthcare strategies. It is expected that the increased prevalence of diabetes in the Brazilian population adds an additional economic burden to healthcare expenditure by the Brazilian government, further worsening the health disparities among different social groups. Unless several political decisions to reduce healthcare expenditure are reversed, greater difficulties in accessing treatments will be detrimental for vulnerable social groups in Brazil. By understanding the nuanced patterns of diabetes-related mortality, healthcare providers and policymakers can allocate resources effectively and implement tailored interventions to better address diabetes in Brazil.

Cerebrovascular Disease Mortality Trends in Brazil: An In-Depth Joinpoint Analysis

Background Cerebrovascular disease is the second leading cause of death and the third leading cause of disability following heart disease. In 2019, there were over 101 million people living with a stroke and 12.2 million incidents of stroke globally. For the past three decades, stroke has remained the leading cause of death in Brazil, causing over 100,000 fatalities annually, along with numerous functional impairments among those who survive. The Brazilian healthcare system has witnessed notable advancements in the last decade, including the establishment of additional hospitals and a rise in the count of healthcare professionals specializing in cardiovascular and neurological surgery. However, there exists a gap in the research landscape for continuous comprehensive studies aimed at exploring the evolving mortality rates related to cerebrovascular diseases, of which the last one included data up to 2019. This study aimed to address this gap by meticulously analyzing the trends in cerebrovascular disease mortality in Brazil from 2000 to 2021, for the variables age, sex, state of residence, and geographic region. Methods This is a descriptive, ecological, and time series study. Nationwide data for annual cerebrovascular mortality from Brazil were used for the period 2000-2021. Age-adjusted mortality rates (AAMRs) by direct standardization, encompassing people above 20 years of age, were calculated and expressed per 100,000 persons. Mortality trends were assessed using joinpoint regression analysis by calculating the annual percentage change (APC) and its corresponding 95% confidence interval (CI) across categories of age, sex, and state and region of residence. Results The mortality rates decreased for the sex categories over the analyzed years. The AAMR for the categories decreased as follows: males and females (95 deaths/100,000 to 52 deaths/100,000 inhabitants), males (108 deaths/100,000 to 63 deaths/100,000 inhabitants), and females (83 deaths/100,000 to 44 deaths/100,000 inhabitants). The most substantial reduction in AAMR for males occurred in the 30-39-year age group (APC: -4.10), while the smallest decline was observed in the 20-29-year age group (APC: -1.44). All five macro-regions demonstrated statistically significant and downward AAPC values in mortality rates. The south and midwest regions decreased at a stable rate, as denoted by the same APC and AAPC values (-4.05 and -3.11, respectively). The north and northeast regions exhibited an increase in AAMR, followed by a decrease (APC: 0.68 to -1.42 and 2.63 to -2.35, respectively). Conclusions Our comprehensive analysis revealed a downward trend in cerebrovascular disease mortality rates across diverse demographic groups and macro-regions. Females experienced a more substantial reduction compared to males. Despite higher mortality rates among individuals aged 50 and above, all age groups displayed a marked decrease. The continuous decline can be attributed to policy interventions aimed at enhancing healthcare delivery, increased awareness, and healthier diets and lifestyles. With regard to the macro-regions, the regions in the southern zone demonstrated a more significant decrease as compared to the northern part. In Brazil, a more significant decline in cerebrovascular disease mortality rates could be achieved through increased focus on prevention measures and efforts toward mitigating disparities and inequalities between macro-regions.

Age-Adjusted US Cancer Death Rate Predictions

The likelihood of developing cancer during one's lifetime is approximately one in two for men and one in three for women in the United States. Cancer is the second-leading cause of death and accounts for one in every four deaths. Evidence-based policy planning and decision making by cancer researchers and public health administrators are best accomplished with up-to-date age-adjusted site-specific cancer death rates. Because of the 3-year lag in reporting, forecasting methodology is employed here to estimate the current year rates based on complete observed death data up through three years prior to the current year. The authors expand the State Space Model (SSM) statistical methodology currently in use by the American Cancer Society (ACS) to predict age-adjusted cancer death rates for the current year. These predictions are compared with those from the previous Proc Forecast ACS method and results suggest the expanded SSM performs well.