Educational Differences in Diabetes Mortality among Hispanics in the United States: An Epidemiological Analysis of Vital Statistics Data (1989–2018)

Background: Diabetes accounted for approximately 10% of all-cause mortality among those 20–79 years of age worldwide in 2019. In 1986–1989, Hispanics in the United States of America (USA) represented 6.9% of the national population with diabetes, and this proportion increased to 15.1% in 2010–2014. Recently published findings demonstrated the impact of attained education on amenable mortality attributable to diabetes among Non-Hispanic Whites (NHWs) and Non-Hispanic Blacks (HNBs). Previous cohort studies have shown that low education is also a detrimental factor for diabetes mortality among the Hispanic population in the USA. However, the long-term impact of low education on diabetes mortality among Hispanics in the USA is yet to be determined. Aims and methods: The aim of this study was to measure the impact of achieving a 12th-grade education on amenable mortality due to diabetes among Hispanics in the USA from 1989 to 2018. We used a time-series designed to analyze death certificate data of Hispanic-classified men and women, aged 25 to 74 years, whose underlying cause of death was diabetes, between 1989 and 2018. Death certificate data from the USA National Center for Health Statistics was downloaded, as well as USA population estimates by age, sex, and ethnicity from the USA Census Bureau. The analyses were undertaken using JointPoint software and the Age–Period–Cohort Web Tool, both developed by the USA National Cancer Institute. Results: The analyses showed that between 1989 to 2018, age- and sex-standardized diabetes mortality rates among the least educated individuals were higher than those among the most educated individuals (both sexes together, p = 0.036; males, p = 0.053; females, p = 0.036). The difference between the least and most educated individuals became more pronounced in recent years, as shown by independent confidence intervals across the study period. Sex-based analyses revealed that the age-adjUSAted diabetes mortality rate had increased to a greater extent among the least educated males and females, respectively, than among the most educated. Conclusions: The results of the analyses demonstrated a powerful effect of low education on amenable mortality attributable to diabetes among the Hispanic population in the USA. As an increasing prevalence of diabetes among the least educated Hispanics has been reported, there is a great need to identify and implement effective preventive services, self-management, and quality care practices, that may assist in reducing the growing disparity among those most vulnerable, such as minority populations.

The role of education on Cancer amenable mortality among non-Hispanic blacks & non-Hispanic whites in the United States (1989–2018)

Background Cancer mortality in the U.S. has fallen in recent decades; however, individuals with lower levels of education experienced a smaller decline than more highly educated individuals. This analysis aimed to measure the influence of education lower than a high school diploma, on cancer amenable mortality among Non-Hispanic Whites (NHW) and Non-Hispanic Blacks (NHB) in the U.S. from 1989 to 2018. Methods We analyzed data from 8.2 million death certificates of men and women who died from cancer between 1989 and 2018. We examined 5-year and calendar period intervals, as well as annual percent changes (APC). APC was adjusted for each combination of sex, educational level, and race categories (8 models) to separate the general trend from the effects of age. Results Our study demonstrated an increasing mortality gap between the least and the most educated NHW and NHB males and females who died from all cancers combined and for most other cancer types included in this study. The gap between the least and the most educated was broader among NHW males and females than among NHB males and females, respectively, for most malignancies. Conclusions In summary, we reported an increasing gap in the age-adjusted cancer mortality among the most and the least educated NHW and NHB between 25 and 74 years of age. We demonstrated that although NHB exhibited the greatest age-adjusted mortality rates for most cancer locations, the gap between the most and the least educated was shown for NHW.

The impact of DRG-based management of healthcare facilities on amenable mortality in the European Union

The quality of healthcare management can have a significant impact on the healthcare results achieved. Results of hospital treatment are directly related to the patient’s health and quality of life, thus, it is necessary to examine the impact of different managerial approaches, including the ones related to financing, on indicators of healthcare provision. This article aims to determine whether there is a dependency between DRG-based (diagnosis-related groups) management of healthcare facilities and amenable mortality in the EU countries. Health expenditure per capita was measured in current international $, the number of doctors, nurses, and beds per 1,000 inhabitants were determined as the input factors, while amenable mortality was determined as the outcome factor. The order of the efficiency of the input-output ratio of individual countries was defined using DEA analysis. Subsequently, the countries with the own healthcare financing method were ranked versus the countries with DRG-based management and financing by the mean value between groups using the Mann-Whitney U-test, while no statistically significant dependence was found between them (p-value is 0.522-0.976 for 2012–2017). Thus, even though DRG-based hospital management has various expected benefits, such as better managerial efficiency and transparency of financing, this approach to healthcare financing and management does not significantly impact amenable mortality.

Investigating the Geographic Disparities of Amenable Mortality and Related Ambulance Services in Hungary

The aim of this study was to investigate how amenable mortality and related ambulance services differ on a county level in Hungary. The differences in mortality rates and ambulance services could identify counties where stronger ambulance services are needed. The datasets for 2018 consisted of county level aggregated data of citizens between the ages 15–64. The study examined how both the mortality rates and the ambulance rescue deliveries differ from the national average. The analyses were narrowed down to disease groups, such as acute myocardial infarction, hemorrhagic and ischemic stroke. Inequalities were identified regarding the distribution of number of ambulance deliveries, several counties had rates more than double that of the national average. For both mortality and ambulance services some of the counties had significantly better results and others had significantly worse compared to the national average. In Borsod-Abaúj-Zemplén county’s case, hemorrhagic stroke mortality was significantly higher (1.73 [1.35–2.11]), while ambulance deliveries were significantly lower (0.58 [0.40–0.76]) compared to the national average. The research has shown that regarding the investigated mortality rates and ambulance services there are considerable differences between the counties in Hungary. In this regard policy makers should implement policies to tackle these discrepancies.

Excess Cardiovascular Mortality in Latvia: A Novel Approach Based on Patient-Level Data to Estimate the Separate Contributions of Primary Prevention, Accessibility and Quality of Hospital Care

Background: Because quantifying the relative contributions of prevention and medical care to the decline in cardiovascular mortality is controversial, at present mortality indicators use a fifty-fifty allocation to fraction avoidable cardiovascular deaths as being partly preventable and partly amenable. The aim of this study was to develop a dynamic approach to estimate the contributions of preventable versus amenable mortality, and to estimate the proportion of amenable mortality due to non-utilisation of care versus suboptimal quality of care. Methods: We calculated the contribution of primary prevention, healthcare utilisation and healthcare quality in Latvia by using Emilia-Romagna (ER) (Italy) as the best performer reference standard. In particular, we considered preventable mortality as the number of cardiovascular deaths that could be avoided if Latvia had the same incidence as ER, and then apportioned non-preventable mortality into the two components of non-utilisation versus suboptimal quality of hospital care based on the presence of hospital admissions in the days before death. This calculation was possible thanks to the availability of the unique patient identifier in the administrative databases of Latvia and ER. Results: 41.5 people per 100 000 population died in Latvia in 2016 from cardiovascular causes amenable to healthcare; about half of these (21.4 per 100 000) had had no contact with acute care settings, while the other half (20.1 per 100 000) had accessed the hospital but received suboptimal-quality healthcare. Another estimated 26.8 deaths per 100 000 population were due to lack of primary prevention. Deaths attributable to suboptimal quality or non-utilisation of hospital care constituted 60.7% of all avoidable cardiovascular mortality. Conclusion: If research is undertaken to understand the reasons for differences between territories and their possible relevance to lower performing countries, the dynamic assessment of country-specific contributions to avoidable mortality has considerable potential to stimulate cross-national learning and continuous improvement in population health outcomes.

Impact of the Programa Mais médicos (more doctors Programme) on primary care doctor supply and amenable mortality: quasi-experimental study of 5565 Brazilian municipalities

Background Investing in human resources for health (HRH) is vital for achieving universal health care and the Sustainable Development Goals. The Programa Mais Médicos (PMM) (More Doctors Programme) provided 17,000 doctors, predominantly from Cuba, to work in Brazilian primary care. This study assesses whether PMM doctor allocation to municipalities was consistent with programme criteria and associated impacts on amenable mortality. Methods Difference-in-differences regression analysis, exploiting variation in PMM introduction across 5565 municipalities over the period 2008–2017, was employed to examine programme impacts on doctor density and mortality amenable to healthcare. Heterogeneity in effects was explored with respect to doctor allocation criteria and municipal doctor density prior to PMM introduction. Results After starting in 2013, PMM was associated with an increase in PMM-contracted primary care doctors of 15.1 per 100,000 population. However, largescale substitution of existing primary care doctors resulting in a net increase of only 5.7 per 100,000. Increases in both PMM and total primary care doctors were lower in priority municipalities due to lower allocation of PMM doctors and greater substitution effects. The PMM led to amenable mortality reductions of − 1.06 per 100,000 (95%CI: − 1.78 to − 0.34) annually – with greater benefits in municipalities prioritised for doctor allocation and where doctor density was low before programme implementation. Conclusions PMM potential health benefits were undermined due to widespread allocation of doctors to non-priority areas and local substitution effects. Policies seeking to strengthen HRH should develop and implement needs-based criteria for resource allocation.

Changes in Socioeconomic Inequalities in Amenable Mortality after the Economic Crisis in Cities of the Spanish Mediterranean Coast

Several studies have described a decreasing trend in amenable mortality, as well as the existence of socioeconomic inequalities that affect it. However, their evolution, particularly in small urban areas, has largely been overlooked. The aim of this study is to analyse the socioeconomic inequalities in amenable mortality in three cities of the Valencian Community, namely, Alicante, Castellon, and Valencia, as well as their evolution before and after the start of the economic crisis (2000–2007 and 2008–2015). The units of analysis have been the census tracts and a deprivation index has been calculated to classify them according to their level of socioeconomic deprivation. Deaths and population were also grouped by sex, age group, period, and five levels of deprivation. The specific rates by sex, age group, deprivation level, and period were calculated for the total number of deaths due to all causes and amenable mortality and Poisson regression models were adjusted in order to estimate the relative risk. This study confirms that the inequalities between areas of greater and lesser deprivation in both all-cause mortality and amenable mortality persisted along the two study periods in the three cities. It also shows that these inequalities appear with greater risk of death in the areas of greatest deprivation, although not uniformly. In general, the risks of death from all causes and amenable mortality have decreased significantly from one period to the other, although not in all the groups studied. The evolution of death risks from before the onset of the crisis to the period after presented, overall, a general pro-cyclical trend. However, there are population subgroups for which the trend was counter-cyclical. The use of the deprivation index has made it possible to identify specific geographical areas with vulnerable populations in all three cities and, at the same time, to identify the change in the level of deprivation (ascending or descending) of the geographical areas throughout the two periods. It is precisely these areas where more attention is needed in order to reduce inequalities.

Mortality amenable to health care services and health inequalities across the regions of Italy

Background Amenable mortality is an indicator that measures the extent to which health services contribute to the improvement of the health of a population. It can also highlight geographical and socioeconomic inequalities. Therefore, it is used to assess quality and performance of health care systems, both at national and subnational level. The Italian National Health Service sets the essential levels of care (Livelli Essenziali di Assistenza, LEA), a health-benefit package for all citizens. Because every region is responsible for providing the LEA and can offer additional health care, monitoring the performance of the Regional Health Services (RHSs) is of increasing interest. Methods We used Nolte and McKee's list of amenable conditions to analyze the temporal trend of the standardized mortality rate (per 100.000) in Italy from 2006 to 2015, overall and by gender. We also examined the standardized rate at regional level by comparing the two-year periods 2006/7 and 2014/5, overall and by gender. Results Between 2006 and 2015, the overall mortality rate decreased from 81 to 68 per 100.000 population; this reduction was more pronounced in men (91 to 76 per 100.000, -16.5%) than in women (72 to 62 per 100.000, -13.9%). The decreasing trend in amenable mortality affected Italian regions differently, with northern regions showing steeper reductions as compared to southern regions. As a result, 2014/5 was the first time men's mortality in North Italy (68 per 100.000) was lower than women's mortality in South Italy (72 per 100.000). Conclusions The overall reduction of amenable mortality shows that Italy's health care services keep contributing to the improvement of population health. Nevertheless, by analyzing RHS performance we saw that differences in organization of care lead to differences in health care quality and performance across regions. Deaths amenable to health care services contribute to inequalities between Northern and Southern Italy. Key messages Because universal health coverage is necessary but not sufficient to reduce health inequalities, investing into better-quality services should be recognized as a priority. Amenable mortality can highlight areas of intervention to reduce inequalities in the provision of health care services.