Socioeconomic differences in the use of ill-defined causes of death in 16 European countries

Analysis of Mortality Among Transgender and Gender Diverse Adults in England

IMPORTANCE

Limited prior research suggests that transgender and gender diverse (TGD) people may have higher mortality rates than cisgender people.

OBJECTIVE

To estimate overall and cause-specific mortality among TGD persons compared with cisgender persons.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study used data from general practices in England contributing to the UK's Clinical Practice Research Datalink GOLD and Aurum databases. Transfeminine (assigned male at birth) and transmasculine (assigned female at birth) individuals were identified using diagnosis codes for gender incongruence, between 1988 and 2019, and were matched to cisgender men and women according to birth year, practice, and practice registration date and linked to the Office of National Statistics death registration. Data analysis was performed from February to June 2022.

MAIN OUTCOMES AND MEASURES

Cause-specific mortality counts were calculated for categories of disease as defined by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision chapters. Overall and cause-specific mortality rate ratios (MRRs) were estimated using Poisson models, adjusted for index age, index year, race and ethnicity, Index of Multiple Deprivation, smoking status, alcohol use, and body mass index.

RESULTS

A total of 1951 transfeminine (mean [SE] age, 36.90 [0.34] years; 1801 White [92.3%]) and 1364 transmasculine (mean [SE] age, 29.20 [0.36] years; 1235 White [90.4%]) individuals were matched with 68 165 cisgender men (mean [SE] age, 33.60 [0.05] years; 59 136 White [86.8%]) and 68 004 cisgender women (mean [SE] age, 33.50 [0.05] years; 57 762 White [84.9%]). The mortality rate was 528.11 deaths per 100 000 person-years (102 deaths) for transfeminine persons, 325.86 deaths per 100 000 person-years (34 deaths) for transmasculine persons, 315.32 deaths per 100 000 person-years (1951 deaths) for cisgender men, and 260.61 deaths per 100 000 person-years (1608 deaths) for cisgender women. Transfeminine persons had a higher overall mortality risk compared with cisgender men (MRR, 1.34; 95% CI, 1.06-1.68) and cisgender women (MRR, 1.60; 95% CI, 1.27-2.01). For transmasculine persons, the overall MMR was 1.43 (95% CI, 0.87-2.33) compared with cisgender men and was 1.75 (95% CI, 1.08-2.83) compared with cisgender women. Transfeminine individuals had lower cancer mortality than cisgender women (MRR, 0.52; 95% CI, 0.32-0.83) but an increased risk of external causes of death (MRR, 1.92; 95% CI, 1.05-3.50). Transmasculine persons had higher mortality from external causes of death than cisgender women (MRR, 2.77; 95% CI, 1.15-6.65). Compared with cisgender men, neither transfeminine nor transmasculine adults had a significantly increased risk of deaths due to external causes.

CONCLUSIONS AND RELEVANCE

In this cohort study of primary care data, TGD persons had elevated mortality rates compared with cisgender persons, particularly for deaths due to external causes. Further research is needed to examine how minority stress may be contributing to deaths among TGD individuals to reduce mortality.

Out-of-Hospital COVID-19 Deaths: Consequences for Quality of Medical Care and Accuracy of Cause of Death Coding

Objectives. To examine age and temporal trends in the proportion of COVID-19 deaths occurring out of hospital or in the emergency department and the proportion of all noninjury deaths assigned ill-defined causes in 2020. Methods. We analyzed newly released (March 2021) provisional COVID-19 death tabulations for the entire United States. Results. Children (younger than 18 years) were most likely (30.5%) and elders aged 64 to 74 years were least likely (10.4%) to die out of hospital or in the emergency department. In parallel, among all noninjury deaths, younger people had the highest proportions coded to symptoms, signs, and ill-defined conditions, and percentage symptoms, signs, and ill-defined conditions increased from 2019 to 2020 in all age-race/ethnicity groups. The majority of young COVID-19 decedents were racial/ethnic minorities. Conclusions. The high proportions of all noninjury deaths among children, adolescents, and young adults that were coded to ill-defined causes in 2020 suggest that some COVID-19 deaths were missed because of systemic failures in timely access to medical care for vulnerable young people. Public Health Implications. Increasing both availability of and access to the best hospital care for young people severely ill with COVID-19 will save lives and improve case fatality rates.

Reflections on key methodological decisions in national burden of disease assessments

BACKGROUND

Summary measures of population health are increasingly used in different public health reporting systems for setting priorities for health care and social service delivery and planning. Disability-adjusted life years (DALYs) are one of the most commonly used health gap summary measures in the field of public health and have become the key metric for quantifying burden of disease (BoD). BoD methodology is, however, complex and highly data demanding, requiring a substantial capacity to apply, which has led to major disparities across researchers and nations in their resources to perform themselves BoD studies and interpret the soundness of available estimates produced by the Global Burden of Disease Study.

METHODS

BoD researchers from the COST Action European Burden of Disease network reflect on the most important methodological choices to be made when estimating DALYs. The paper provides an overview of eleven methodological decisions and challenges drawing on the experiences of countries working with BoD methodology in their own national studies. Each of these steps are briefly described and, where appropriate, some examples are provided from different BoD studies across the world.

RESULTS

In this review article we have identified some of the key methodological choices and challenges that are important to understand when calculating BoD metrics. We have provided examples from different BoD studies that have developed their own strategies in data usage and implementation of statistical methods in the production of BoD estimates.

CONCLUSIONS

With the increase in national BoD studies developing their own strategies in data usage and implementation of statistical methods in the production of BoD estimates, there is a pressing need for equitable capacity building on the one hand, and harmonization of methods on the other hand. In response to these issues, several BoD networks have emerged in the European region that bring together expertise across different domains and professional backgrounds. An intensive exchange in the experience of the researchers in the different countries will enable the understanding of the methods and the interpretation of the results from the local authorities who can effectively integrate the BoD estimates in public health policies, intervention and prevention programs.

Changes in the quality of cause-of-death statistics in Brazil: garbage codes among registered deaths in 1996-2016

BACKGROUND

Registered causes in vital statistics classified as garbage codes (GC) are considered indicators of quality of cause-of-death data. Our aim was to describe temporal changes in this quality in Brazil, and the leading GCs according to levels assembled for the Global Burden of Disease (GBD) study. We also assessed socioeconomic differences in the burden of different levels of GCs at a regional level.

METHODS

We extracted data from the Brazilian Mortality Information System from 1996 to 2016. All three- and four-digit ICD-10 codes considered GC were selected and classified into four categories, according to the GBD study proposal. GC levels 1 and 2 are the most damaging unusable codes, or major GCs. Proportionate distribution of deaths by GC levels according selected variables were performed. Age-standardized mortality rates after correction of underreporting of deaths were calculated to investigate temporal relationships as was the linear association adjusted for completeness between GC rates in states and the Sociodemographic Index (SDI) from the GBD study, for 1996-2005 and 2006-2016. We classified Brazilian states into three classes of development by applying tertiles cutoffs in the SDI state-level estimates.

RESULTS

Age-standardized mortality rates due to GCs in Brazil decreased from 1996 to 2016, particularly level 1 GCs. The most important GC groups were ill-defined causes (level 1) in 1996, and pneumonia unspecified (level 4) in 2016. At state level, there was a significant inverse association between SDI and the rate of level 1-2 GCs in 1996-2005, but both SDI and completeness had a non-expected significant direct association with levels 3-4. In 2006-2016, states with higher SDIs tended to have lower rates of all types of GCs. Mortality rates due to major GCs decreased in all three SDI classes in 1996-2016, but GC levels 3-4 decreased only in the high SDI category. States classified in the low or medium SDI groups were responsible for the most important decline of major GCs.

CONCLUSION

Occurrence of major GCs are associated with socioeconomic determinants over time in Brazil. Their reduction with decreasing disparity in rates between socioeconomic groups indicates progress in reducing inequalities and strengthening cause-of-death statistics in the country.

Quality of cause-of-death data in Brazil: Garbage codes among registered deaths in 2000 and 2015

INTRODUCTION

reliability of mortality data is essential for health assessment and planning. In Brazil, a high proportion of deaths is attributed to causes that should not be considered as underlying causes of deaths, named garbage codes (GC). To tackle this issue, in 2005, the Brazilian Ministry of Health (MoH) implements the investigation of GC-R codes (codes from chapter 18 "Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified, ICD-10") to improve the quality of cause-of-death data. This study analyzes the GC cause of death, considered as the indicator of data quality, in Brazil, regions, states and municipalities in 2000 and 2015.

METHODS

death records from the Brazilian Mortality Information System (SIM) were used. Analysis was performed for two GC groups: R codes and non-R codes, such as J18.0-J18.9 (Pneumonia unspecified). Crude and age-standardized rates, number of deaths and proportions were considered.

RESULTS

an overall improvement in the quality of mortality data in 2015 was detected, with variations among regions, age groups and size of municipalities. The improvement in the quality of mortality data in the Northeastern and Northern regions for GC-R codes is emphasized. Higher GC rates were observed among the older adults (60+ years old). The differences among the areas observed in 2015 were smaller.

CONCLUSION

the efforts of the MoH in implementing the investigation of GC-R codes have contributed to the progress of data quality. Investment is still necessary to improve the quality of cause-of-death statistics.

Educational inequalities in all-cause and cause-specific mortality among people with gout: a register-based matched cohort study in southern Sweden

Background

Gout is the most common inflammatory arthritis with a rising prevalence around the globe. While educational inequalities in incidence and prevalence of gout have been reported, no previous study investigated educational inequality in mortality among people with gout. The aim of this study was to assess absolute and relative educational inequalities in all-cause and cause-specific mortality among people with gout in comparison with an age- and sex-matched cohort free of gout in southern Sweden.

Methods

We identified all residents aged ≥30 years of Skåne region with doctor-diagnosed gout (ICD-10 code M10, n = 24,877) during 1998–2013 and up to 4 randomly selected age- and sex-matched comparators free of gout (reference cohort, n = 99,504). These were followed until death, emigration, or end of 2014. We used additive hazards models and Cox regression adjusted for age, sex, marital status, and country of birth to estimate slope and relative indices of inequality (SII/RII). Three cause-of-death attribution approaches were considered for RII estimation: “underlying cause”, “any mention”, and “weighted multiple-cause”.

Results

Gout patients with the lowest education had 1547 (95% CI: 1001, 2092) more deaths per 100,000 person-years compared with those with the highest education. These absolute inequalities were larger than in the reference population (1255, 95% CI: 1038, 1472). While the contribution of cardiovascular (cancer) mortality to these absolute inequalities was greater (smaller) in men with gout than those without, the opposite was seen among women. Relative inequality in all-cause mortality was smaller in gout (RII 1.29 [1.18, 1.41]) than in the reference population (1.46 [1.38, 1.53]). The weighted multiple-cause approach generally led to larger RIIs than the underlying cause approach.

Conclusions

Our register-based matched cohort study showed that low level of education was associated with increased mortality among gout patients. Although the magnitude of relative inequality was smaller in people with gout compared with those without, the absolute inequalities were greater reflecting a major mortality burden among those with lower education.

Educational inequalities in mortality associated with rheumatoid arthritis and other musculoskeletal disorders in Sweden

BACKGROUND

Musculoskeletal (MSK) disorders are less likely to be reported as an underlying cause of death (UCD) and since cause of death studies are generally limited to the UCD, little is known about socioeconomic inequalities in MSK disorders as cause of death in the general population. Using multiple-cause-of-death data, we aimed to quantify and compare educational inequalities in musculoskeletal (MSK) disorders- with non-MSK disorders-related mortality.

METHODS

All residents aged 30-99 years in the Skåne region, Sweden, during 1998-2013 (n = 999,148) were followed until their 100th birthday, death, relocation outside Skåne, or end of 2014. We identified any mention of rheumatoid arthritis (RA) or other MSK disorders on death certificates using multiple-cause-of-death data. We retrieved and linked individual-level data from Statistics Sweden on highest level of education. We used Cox regression and additive hazards models with age as time-scale adjusted for sex, marital status, and country of birth to calculate slope and relative indices of inequality (SII/RII).

RESULTS

During a mean follow-up of 12.2 years, there were 1407 (0.8% of all deaths) and 3725 (2.1% of all deaths) death certificates with mention of RA and other MSK disorders, respectively, and 171,798 death certificates without any mention of a MSK disorder. Age-standardized RA mortality rate was 2.2 (95% confidence interval [CI]: 2.0-2.8) times greater in people with 0-9 years of education compared with those with > 12 years of education. Corresponding figure for other MSK disorders was 1.5 (95% CI: 1.4-1.6). Both RIIs and SIIs revealed statistically significant educational inequalities in RA/other MSK disorders mortality favouring high-educated people. The RIIs of MSK disorders-related deaths were generally greater than non-MSK disorders-related deaths.

CONCLUSION

We found substantial educational inequality in mortality from MSK disorders. Further research is needed to investigate underlying pathways driving these inequalities.

Evaluation of coding ill-defined and unknown causes of death in the Republic of Serbia

One of the most frequently used indicators for the quality of mortality statistics is the use of R-codes as the cause of death (COD) in death certificates. The aim of this study was to analyse the coding of ill-defined and unknown causes of death in the Republic of Serbia (RS). The data for this descriptive study, covering a ten-year period (2006-2015), were obtained from the National Mortality Register. Since population and economic features differ widely between regions in RS, we compared the Belgrade region (BR) with other regions (Or). We estimated the frequency of certain types of death investigation methods regarding R00-99-coded deaths. The frequency of R-codes, by subcategories, and code-specific mortality rates were calculated by region for each year. The use of R-codes was significantly lower in BR than in Or (OR 0.85; 95% CI, 0.84-0.66; p < 0.001). The most frequent method of determining COD was external examination of the body, both in BR and Or (60.7% and 85.5%, respectively). The rate of forensic autopsies in BR was 38.1% while in Or it was only 3.6%. Clinical autopsies were performed in 1% of deaths in BR, compared to 0.5% in Or. Our results suggest that in BR the use of R-codes compared to other CODs has decreased over the past years while there has been an increasing trend in autopsy proportions; in Or the frequency of R-codes, as well as of autopsy proportions, has remained unchanged.

Risk factors for the ill-defined causes of death in the Brazilian states: a multilevel analysis

Abstract This study describes the spatial-temporal changes of the proportion of ill-defined causes of death in Brazil (1998-2012) and investigates which demographic and socioeconomic factors affect this proportion. We collected information of the proportion of ill-defined causes of death by age (15-59 years), sex, period, locality, and socioeconomic data. We used a multilevel Poisson model to investigate which factors affect the risk of ill-defined causes of death. Unlike states located in the South and Midwest, we detected clusters with high proportional levels of these deaths in states in the North and Northeast regions. A greater proportion occurred in 1998-2002 (0.09), in the North and Northeast (0.14 and 0.12, respectively), in older age groups (0.09), and in places with poor socioeconomic conditions. The adjusted analysis showed differences in proportion according to the region, age, period, schooling, social inequality, and income. The results indicate that the lower the age group and the better the socioeconomic situation, the lower the risk to register the cause of death as ill-defined. Although over the past years, the quality of Brazil’s mortality data has gradually increased, investments towards improving mortality registries cannot be discontinued.

Trends and inequalities in the burden of mortality in Scotland 2000-2015

BACKGROUND

Cause-specific mortality trends are routinely reported for Scotland. However, ill-defined deaths are not routinely redistributed to more precise and internationally comparable categories nor is the mortality reported in terms of years of life lost to facilitate the calculation of the burden of disease. This study describes trends in Years of Life Lost (YLL) for specific causes of death in Scotland from 2000 to 2015.

METHODS

We obtained records of all deaths in Scotland by age, sex, area and underlying cause of death between 2000 and 2015. We redistributed Ill-Defined Deaths (IDDs) to more exact and meaningful causes using internationally accepted methods. Years of Life Lost (YLL) using remaining life expectancy by sex and single year of age from the 2013 Scottish life table were calculated for each death. These data were then used to calculate the crude and age-standardised trends in YLL by age, sex, cause, health board area, and area deprivation decile.

RESULTS

Between 2000 and 2015, the annual percentage of deaths that were ill-defined varied between 10% and 12%. The proportion of deaths that were IDDs increased over time and were more common: in women; amongst those aged 1-4 years, 25-34 years and >80 years; in more deprived areas; and in the island health boards. The total YLL fell from around 17,800 years per 100,000 population in 2000 to around 13,500 years by 2015. The largest individual contributors to YLL were Ischaemic Heart Disease (IHD), respiratory cancers, Chronic Obstructive Pulmonary Disease (COPD), cerebrovascular disease and Alzheimer's/dementia. The proportion of total YLL due to IHD and stroke declined over time, but increased for Alzheimer's/dementia and drug use disorders. There were marked absolute inequalities in YLL by area deprivation, with a mean Slope Index of Inequality (SII) for all causes of 15,344 YLL between 2001 and 2015, with IHD and COPD the greatest contributors. The Relative Index of Inequality (RII) for YLL was highest for self-harm and lower respiratory infections.

CONCLUSION

The total YLL per 100,000 population in Scotland has declined over time. The YLL in Scotland is predominantly due to a wide range of chronic diseases, substance misuse, self-harm and increasingly Alzheimer's disease and dementia. Inequalities in YLL, in both relative and absolute terms, are stark.

Trends In Inequalities In Mortality Amenable To Health Care In 17 European Countries

Little is known about the effectiveness of health care in reducing inequalities in health. We assessed trends in inequalities in mortality from conditions amenable to health care in seventeen European countries in the period 1980-2010 and used models that included country fixed effects to study the determinants of these trends. Our findings show remarkable declines over the study period in amenable mortality among people with a low level of education. We also found stable absolute inequalities in amenable mortality over time between people with low and high levels of education, but widening relative inequalities. Higher health care expenditure was associated with lower mortality from amenable causes, but not from nonamenable causes. The effect of health care expenditure on amenable mortality was equally strong, in relative terms, among people with low levels of education and those with high levels. As a result, higher health care expenditure was associated with a narrowing of absolute inequalities in amenable mortality. Our findings suggest that in the European context, more generous health care funding provides some protection against inequalities in amenable mortality.

Determinants of the magnitude of socioeconomic inequalities in mortality: A study of 17 European countries

The magnitude of socioeconomic inequalities in mortality differs importantly between countries, but these variations have not been satisfactorily explained. We explored the role of behavioral and structural determinants of these variations, by using a dataset covering 17 European countries in the period 1970-2010, and by conducting multilevel multivariate regression analyses. Our results suggest that between-country variations in inequalities in current mortality can partly be understood from variations in inequalities in smoking, excessive alcohol consumption, and poverty. Also, countries with higher national income, higher quality of government, higher social transfers, higher health care expenditure and more self-expression values have smaller inequalities in mortality. Finally, trends in behavioral risk factors, particularly smoking and excessive alcohol consumption, appear to partly explain variations in inequalities in mortality trends. This study shows that analyses of variations in health inequalities between countries can help to identify entry-points for policy.

A New Paradigm in Gallstones Diseases and Marked Elevation of Transaminases: An Observational Study

BACKGROUND

In clinical practice, it is assumed that a severe rise in transaminases is caused by ischemic, viral or toxic hepatitis. Nevertheless, cases of biliary obstruction have increasingly been associated with significant hypertransaminemia. With this study, we sought to determine the true etiology of marked rise in transaminases levels, in the context of an emergency department.

MATERIAL AND METHODS

We retrospectively identified all patients admitted to the emergency unit at Centro Hospitalar e Universitário de Coimbra between 1st January 2010 and 31st December 2010, displaying an increase of at least one of the transaminases by more than 15 times. All patient records were analyzed in order to determine the cause of hypertransaminemia.

RESULTS

We analyzed 273 patients - 146 males, mean age 65.1 ± 19.4 years. The most frequently etiology found for marked hypertransaminemia was pancreaticobiliary acute disease (n = 142;39.4%), mostly lithiasic (n = 113;79.6%), followed by malignancy (n = 74;20.6%), ischemic hepatitis (n = 61;17.0%), acute primary hepatocellular disease (n = 50;13.9%) and muscle damage (n = 23;6.4%). We were not able to determine a diagnosis for 10 cases. There were 27 cases of recurrence in the lithiasic pancreaticobiliary pathology group. Recurrence was more frequent in the group of patients who had not been submitted to early cholecystectomy after the first episode of biliary obstruction (p = 0.014). The etiology of hypertransaminemia varied according to age, cholestasis and glutamic-pyruvic transaminase values.

CONCLUSION

Pancreaticobiliary lithiasis is the main cause of marked hypertransaminemia. Hence, it must be considered when dealing with such situations. Not performing cholecystectomy early on, after the first episode of biliary obstruction, may lead to recurrence.