scholarly journals Persistent and extreme outliers in causes of death by state, 1999-2013

2015 ◽  
Author(s):  
Francis P Boscoe
Keyword(s):  
United States ◽  
Heart Disease ◽  
Causes Of Death ◽  
The United States ◽  
Mortality Rates ◽  
National Rate ◽  
Common Causes ◽  
Specific Mortality

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appeared on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.

scholarly journals Persistent and extreme outliers in causes of death by state, 1999-2013

2015 ◽  
Author(s):  
Francis P Boscoe
Keyword(s):  
United States ◽  
Heart Disease ◽  
Causes Of Death ◽  
The United States ◽  
Mortality Rates ◽  
National Rate ◽  
Common Causes ◽  
Specific Mortality

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appeared on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.

scholarly journals Persistent and extreme outliers in causes of death by state, 1999-2013

2015 ◽  
Author(s):  
Francis P Boscoe
Keyword(s):  
United States ◽  
Heart Disease ◽  
Causes Of Death ◽  
The United States ◽  
Mortality Rates ◽  
National Rate ◽  
Common Causes ◽  
Specific Mortality

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appeared on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.

scholarly journals Persistent and extreme outliers in causes of death by state, 1999–2013

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1336 ◽  
Author(s):  
Francis P. Boscoe
Keyword(s):  
United States ◽  
Heart Disease ◽  
Causes Of Death ◽  
The United States ◽  
Mortality Rates ◽  
National Rate ◽  
Common Causes ◽  
Specific Mortality

In the United States, state-specific mortality rates that are high relative to national rates can result from legitimate reasons or from variability in coding practices. This paper identifies instances of state-specific mortality rates that were at least twice the national rate in each of three consecutive five-year periods (termed persistent outliers), along with rates that were at least five times the national rate in at least one five-year period (termed extreme outliers). The resulting set of 71 outliers, 12 of which appear on both lists, illuminates mortality variations within the country, including some that are amenable to improvement either because they represent preventable causes of death or highlight weaknesses in coding techniques. Because the approach used here is based on relative rather than absolute mortality, it is not dominated by the most common causes of death such as heart disease and cancer.

Transformation of Mortality by Sex in the Four Biggest Cities in Ukraine

2021 ◽  
pp. 60-79
Author(s):  
N. O. RYNGACH ◽  
P. E. SHEVCHUK
Keyword(s):  
Heart Disease ◽  
Comparative Analysis ◽  
Ischemic Heart Disease ◽  
Cerebrovascular Disease ◽  
Causes Of Death ◽  
Mortality Rates ◽  
Death Rates ◽  
Large Cities ◽  
Undetermined Intent ◽  
Specific Mortality

Large cities concentrate a substantial part of the educated, highly qualified, and economically active populations. Such social “selection” with the peculiarities of lifestyle determines the distinctive characteristics of the level and structure of mortality. Even though data on deaths by causes of death for the large cities are available in Ukraine, very few studies have analyzed cause-specific mortality in these cities. The objective of the study is to make a comparative analysis of mortality from the most influential causes of death in large cities. The novelty lies in the comparative analysis done for Dnipro, Kyiv, Lviv, Odesa, and Kharkiv for the first time. The study uses the direct method of standardization to calculate standardized death rates by sex in 2005-2019. The results indicate lower all-cause mortality rates for the large city residents compared to the corresponding average country-level indicators. Kyiv, Lviv, and Odesa have lower death rates compared to Dnipro and Kharkiv. In Kyiv and Lviv, this is attributed to lower mortality from almost all major causes of death, while in Odesa this mainly resulted from the extremely low ischemic heart disease mortality. Relatively high mortality from circulatory diseases is observed in Kharkiv and Dnipro. However, in Dnipro, this is associated with a high death rate from coronary heart disease and a very low contribution of cerebrovascular disease, whereas in Kharkiv coronary and cerebrovascular disease death rates are quite high. Mortality rates from diseases of the digestive system in the large cities are found to be the closest to the average in Ukraine (except for Lviv). The neoplasms are the only large group of diseases with a mortality rate that exceeds the average level in Ukraine, in particular for women. Overall, the death rates from most of the causes of death in the large cities demonstrated a positive trend in 2005-2019, with some exceptions. External causes and infectious diseases showed the most decrease while mortality from AIDS and ill-defined causes increased. Also, there were uncertain dynamics of deaths due to suicide and injuries with undetermined intent. Given some specific mortality differences between the cities, some concerns have been raised over the accuracy of the coding of diagnoses. In particular, unusually low mortality from ischemic heart disease was found in Odesa and from cerebrovascular disease in Dnipro, very rare deaths from alcoholic liver disease in Odesa, accidental alcohol poisoning in Kyiv, and a group of other liver diseases in Dnipro. We also assume misclassification of suicides as injuries with undetermined intent in Kharkiv. Our findings highlight the importance of the implementation of automated coding and selection of causes of death that can minimize the number of subjective decisions made by coders and lead to significant improvements in the quality of data.

scholarly journals Differences in Cause-Specific Mortality Between Frail Men and Women in the United States

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 271-271
Author(s):  
Matthew Lohman ◽  
Amanda Sonnega ◽  
Amanda Leggett ◽  
Nicholas Resciniti
Keyword(s):  
Older Adults ◽  
Heart Disease ◽  
Causes Of Death ◽  
Proportional Hazards ◽  
Significant Risk ◽  
The United States ◽  
Cox Proportional Hazards ◽  
Frail Older Adults ◽  
Risk Of Death ◽  
Specific Mortality

Abstract While frailty is associated with risk of numerous adverse health outcomes including mortality, little is known about the most common specific causes of death among frail older adults or how these causes might differ by gender. This information may be important to understanding the frailty syndrome and to informing screening and treatment. We used linked data from the Health and Retirement Study (2004 – 2012) and the National Death Index (NDI). We analyzed data from HRS participants age 65 and older who completed a general health interview and physiological measures (n=10,490). Frailty was operationalized using the phenotype criteria – low weight, low energy expenditure, exhaustion, slow gait, and weakness. Causes of death were determined using International Classification of Diseases (v10) codes from death certificates. We used Cox proportional hazards to compare incidence of cause-specific mortality by frailty status and gender. The attributable risk of mortality due to frailty in the sample was 16.6% among women and 17.3% among men. Overall, frail older adults had greater risk of death from heart disease (hazard ratio (HR): 2.97; 95% CI: 2.18, 4.04), cancer (HR: 2.81; 95% CI: 2.01, 3.93), and dementia 2.86 (95% CI: 1.46, 5.58) but not cerebrovascular disease or accidents. Frail women were more approximately 29% more likely to die from heart disease than frail men. Findings suggest that frailty is a significant risk factor for mortality from several different causes, especially among women. Findings may help inform screening and treatment decisions for older adults at risk for frailty.

Mortality Variation in U.S. Cities in 1900: A Two-Level Explanation by Cause of Death and Underlying Factors

1983 ◽  
Vol 7 (1) ◽  
pp. 31-59 ◽  
Author(s):  
Eileen M. Crimmins ◽  
Gretchen A. Condran
Keyword(s):  
United States ◽  
Urban Areas ◽  
Causes Of Death ◽  
The United States ◽  
Mortality Rates ◽  
Contaminated Water ◽  
Death Registration ◽  
Factors Affecting ◽  
Registration Data ◽  
Two Stages

Health conditions in United States cities at the turn of the twentieth century were very poor. Bleak pictures of crowded dwellings, contaminated water supplies, and filthy streets have been painted by numerous observers of urban areas at the time (Smith, 1964). While the effects of these conditions on mortality levels have not been precisely measured, urban mortality rates were consistently higher than rural mortality rates in 1900 in the United States (Condran and Crimmins, 1980). Nevertheless, considerable variation in the mortality levels of different cities also existed. Our goal in this article is to explain the variation in the mortality conditions in U.S. cities for which death registration data were collected in 1900. The analysis is done in two stages. First, the causes of death which accounted for the different mortality levels are isolated. Second, a multivariate analysis of the factors affecting the rates of occurrence of these causes of death is performed.

Sign in / Sign up

Export Citation Format

Share Document