Estimating transition coefficients for reconstructing coherent series of mortality by cause of Death

2019 ◽  
Vol 19 (3) ◽  
pp. 299-322
Author(s):  
Carlo G Camarda
Keyword(s):  
Cause Of Death ◽  
Causes Of Death ◽  
Heart Diseases ◽  
Age Groups ◽  
Medical Knowledge ◽  
Malignant Neoplasms ◽  
Classification Of Diseases ◽  
German Data

Regular revisions of the classification of diseases and the consequent disruptions of mortality series are well-known issues in long-term cause-of-death analysis. Given basic assumptions and medical knowledge about possible exchanges across causes of death in the revision years, redistribution of counts of causes of death into a new classification can be viewed as a constrained optimization problem. Penalized likelihood within a quadratic programming framework allows estimation of exchanges that vary smoothly over age groups. The approach is illustrated using both German data on malignant neoplasms and French data on heart diseases.

scholarly journals Cause-of-death statistics in 2018 in the Republic of Korea

2020 ◽  
Vol 63 (5) ◽  
pp. 286-297 ◽  
Author(s):  
Hyun-Young Shin ◽  
Jin Kim ◽  
Seokmin Lee ◽  
Min Sim Park ◽  
Sanghee Park ◽  
...  
Keyword(s):  
Alzheimer Disease ◽  
Cause Of Death ◽  
Causes Of Death ◽  
Heart Diseases ◽  
Cerebrovascular Diseases ◽  
Malignant Neoplasms ◽  
The Third ◽  
Classification Of Diseases ◽  
The Republic

This study aimed to present and analyze the causes of death in the Korean population in 2018 through an analysis of cause-of-death data from Statistics Korea, which are classified based on the International Statistical Classification of Diseases and Related Health Problems, 10th revision and the Korean Standard Classification of Diseases and Causes of Death. The total number of deaths was 298,820, reflecting an increase of 13,286 (4.7%) from 2017. The crude death rate was 582.5 per 100,000 population, which was an increase of 25.1 (4.5%) from 2017. The 10 leading causes of death, in order, were malignant neoplasms, heart diseases, pneumonia, cerebrovascular diseases, intentional self-harm, diabetes mellitus, liver diseases, chronic lower respiratory diseases, Alzheimer disease, and hypertensive diseases. Within the category of malignant neoplasms, the top five leading organs of involvement were the lung, liver, colon, stomach, and pancreas. Colon cancer was ranked as the third leading cause of death among malignant neoplasms. The most notable characteristics of the 2018 cause-of-death statistics were the ranking of pneumonia as the third leading cause of death, the inclusion of Alzheimer disease in the top 10 causes of death, and the exclusion of transport accidents from the 10 leading causes of death, which is a result that has not been seen since comparable statistics were first published in 1983. These changes reflect the increase of people over 65 years of age, who are vulnerable to infectious diseases.

scholarly journals Comparative evaluation of underlying causes of death processed by the Automated Classification of Medical Entities and the Underlying Cause of Death Selection Systems

1998 ◽  
Vol 32 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Augusto H. Santo ◽  
Celso E. Pinheiro ◽  
Eliana M. Rodrigues
Keyword(s):  
Cause Of Death ◽  
Comparative Evaluation ◽  
Causes Of Death ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Automated Classification ◽  
Classification Of Diseases ◽  
Underlying Causes ◽  
Underlying Cause Of Death

INTRODUCTION: The correct identification of the underlying cause of death and its precise assignment to a code from the International Classification of Diseases are important issues to achieve accurate and universally comparable mortality statistics These factors, among other ones, led to the development of computer software programs in order to automatically identify the underlying cause of death. OBJECTIVE: This work was conceived to compare the underlying causes of death processed respectively by the Automated Classification of Medical Entities (ACME) and the "Sistema de Seleção de Causa Básica de Morte" (SCB) programs. MATERIAL AND METHOD: The comparative evaluation of the underlying causes of death processed respectively by ACME and SCB systems was performed using the input data file for the ACME system that included deaths which occurred in the State of S. Paulo from June to December 1993, totalling 129,104 records of the corresponding death certificates. The differences between underlying causes selected by ACME and SCB systems verified in the month of June, when considered as SCB errors, were used to correct and improve SCB processing logic and its decision tables. RESULTS: The processing of the underlying causes of death by the ACME and SCB systems resulted in 3,278 differences, that were analysed and ascribed to lack of answer to dialogue boxes during processing, to deaths due to human immunodeficiency virus [HIV] disease for which there was no specific provision in any of the systems, to coding and/or keying errors and to actual problems. The detailed analysis of these latter disclosed that the majority of the underlying causes of death processed by the SCB system were correct and that different interpretations were given to the mortality coding rules by each system, that some particular problems could not be explained with the available documentation and that a smaller proportion of problems were identified as SCB errors. CONCLUSION: These results, disclosing a very low and insignificant number of actual problems, guarantees the use of the version of the SCB system for the Ninth Revision of the International Classification of Diseases and assures the continuity of the work which is being undertaken for the Tenth Revision version.

scholarly journals Garbage codes as causes of death and quality of mortality statistics in Belo Horizonte, Brazil

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Ishitani ◽  
R Teixeira ◽  
D Abreu ◽  
L Paixão ◽  
E França
Keyword(s):  
Causes Of Death ◽  
Health Planning ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Mortality Statistics ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Hospital Deaths ◽  
Belo Horizonte

Abstract Background Quality of cause-of-death information is fundamental for health planning. Traditionally, this quality has been assessed by the analysis of ill-defined causes from chapter XVIII of the International Classification of Diseases - 10th revision (ICD-10). However, studies have considered other useless diagnoses for public health purposes, defined, in conjunction with ill-defined causes, as garbage codes (GC). In Brazil, despite the high completeness of the Mortality Information System, approximately 30% of deaths are attributable to GCs. This study aims to analyze the frequency of GCs in Belo Horizonte municipality, the capital of Minas Gerais state, Brazil. Methods Data of deaths from 2011 to 2013 in Belo Horizonte were analyzed. GCs were classified according to the GBD 2015 study list. These codes were classified in: a) GCs from chapter XVIII of ICD-10 (GC-R), and b) GC from other chapters of ICD-10 (GC-nonR). Proportions of GC were calculated by sex, age, and place of occurrence. Results In Belo Horizonte, from the total of 44,123 deaths, 5.5% were classified as GC-R. The majority of GCs were GC-nonR (25% of total deaths). We observed a higher proportion of GC in children (1 to 4 years) and in people aged over 60 years. GC proportion was also higher in females, except in the age-groups under 1 year and 30-59 years. Home deaths (n = 7,760) had higher proportions of GCs compared with hospital deaths (n = 30,182), 36.9% and 28.7%, respectively. The leading GCs were the GC-R other ill-defined and unspecified causes of death (ICD-10 code R99)), and the GCs-nonR unspecified pneumonia (J18.9), unspecified stroke (I64), and unspecified septicemia (A41.9). Conclusions Analysis of GCs is essential to evaluate the quality of mortality information. Key messages Analysis of ill-defined causes (GC-R) is not sufficient to evaluate the quality of information on causes of death. Causes of death analysis should consider the total GC, in order to advance the discussion and promote adequate intervention on the quality of mortality statistics.

Association of age with risk of major depression among patients with chronic kidney disease over midlife: a nationwide cohort study in Taiwan

2018 ◽  
Vol 31 (08) ◽  
pp. 1171-1179 ◽  
Author(s):  
Shih-Feng Chen ◽  
Yu-Huei Chien ◽  
Pau-Chung Chen ◽  
I-Jen Wang
Keyword(s):  
Chronic Kidney Disease ◽  
Cohort Study ◽  
Major Depression ◽  
Kidney Disease ◽  
Comparison Group ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Classification Of Diseases ◽  
The Impact

ABSTRACTBackground:The impact of age on the development of depression among patients with chronic kidney disease (CKD) at stages before dialysis is not well known. We aimed to explore the incidence of major depression among predialysis CKD patients of successively older ages through midlife.Methods:We conducted a retrospective cohort study using the longitudinal health insurance database 2005 in Taiwan. This study investigated 17,889 predialysis CKD patients who were further categorized into study (i.e. middle and old-aged) groups and comparison group aged 18–44. The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) was applied for coding diseases.Results:The group aged 75 and over had the lowest (hazard ratio [HR] 0.47; 95% confidence interval [CI] 0.32–0.69) risk of developing major depression, followed by the group aged 65–74 (HR 0.67; 95% CI 0.49–0.92), using the comparison group as reference. The adjusted survival curves showed significant differences in cumulative major depression-free survival between different age groups. We observed that the risk of major depression development decreases with higher age. Females were at a higher risk of major depression than males among predialyasis CKD patients.Conclusions:The incidence of major depression declines with higher age in predialysis CKD patients over midlife. Among all age groups, patients aged 75 and over have the lowest risk of developing major depression. A female preponderance in major depression development is present. We suggest that depression prevention and therapy should be integrated into the standard care for predialysis CKD patients, especially for those young and female.

PUBLIC HEALTH, NURSING, AND MEDICAL SOCIAL WORK

PEDIATRICS ◽  
1959 ◽  
Vol 23 (4) ◽  
pp. 761-765
Author(s):  
Myron E. Wegman
Keyword(s):  
Causes Of Death ◽  
Geographic Area ◽  
Final Diagnosis ◽  
International Classification Of Diseases ◽  
Limiting Factor ◽  
Standard Nomenclature ◽  
Classification Of Diseases ◽  
International Statistical Classification ◽  
Health Nursing

Every physician who has been through an internship is familiar with the Standard Nomenclature of Diseases and Operations. Far fewer know the International Statistical Classification of Diseases, Injuries and Causes of Death or appreciate the relationship between the two. Official inauguration of the use of the Seventh Revision of the International Classification of Diseases on January 1, 1958 offers occasion for reviewing some of the considerations affecting the proper naming and classification of diseases and causes of death. It is necessary to clarify the distinction between a "nomenclature" and a "classification." A nomenclature is a list of all terms considered satisfactory in medical usage at the time the nomenclature was prepared. Its primary purpose is to promote use of the same name for the same disease, a necessity for comparability of reports and effective study of a disease. To achieve such uniformity there must be some background of usage and custom, as well as a systematic reference work to help the physician arrive at and use the standard term as a final diagnosis for his case. The Standard Nomenclature of Diseases and Operations of the American Medical Association is in practically universal use in the major institutions of the U. S. A. The Nomenclature itself, while detailed and inevitably complicated by extent of coverage and inclusiveness, follows such a logical pattern that under the pressure of institutional rules and routines it is not difficult to use the system efficiently. Individual physicians, however, are not so disposed to spend the time necessary to follow the Nomenclature and tend rather to use the terminology popular in the geographic area where they are working. Development of local terminologies and usages is perhaps the greatest limiting factor militating against a really general nomenclature.

Incidence of Football Injuries and Complaints in Different Age Groups and Skill-Level Groups

2000 ◽  
Vol 28 (5_suppl) ◽  
pp. 51-57 ◽  
Author(s):  
Lars Peterson ◽  
Astrid Junge ◽  
Jiri Chomiak ◽  
Toni Graf-Baumann ◽  
Jiri Dvorak
Keyword(s):  
Continuing Education ◽  
Age Groups ◽  
International Classification Of Diseases ◽  
Fair Play ◽  
Skill Levels ◽  
Subsequent Performance ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Over Time

In this study, the incidence of football injuries and complaints as related to different age groups and skill levels was studied over the period of 1 year. All injuries and complaints as well as the amount of time players spent in training and games were recorded. All injured players were examined weekly by physicians, and all injuries were assessed according to the International Classification of Diseases (ICD-10), which describes them in terms of injury type and location, the treatment required, and the duration of subsequent performance limitations. A total of 264 players of different age groups and skill levels was observed for 1 year. Five hundred fifty-eight injuries were documented. Two hundred sixteen players had one or more injuries. Only 48 players (18%) had no injury. The average number of injuries per player per year was 2.1. Injuries were classified as mild (52%), moderate (33%), or severe (15%). Almost 50% of all injuries were contact injuries; half of all the contact injuries were associated with foul play. The majority of injuries were strains and sprains involving the ankle, knee, and lumbar spine. Nearly all players (91%) suffered from complaints related to football. Only 23 players reported no injuries and no complaints. Prevention programs, fair play, and continuing education in techniques and skills may reduce the incidence of injuries over time.

scholarly journals La reconstrucción de las causas de muerte por el método MODICOD en el  análisis demográfico-sanitario. De la CIE-9 a la CIE-10 a un nivel de cuarto dígito

2018 ◽  
pp. 167
Author(s):  
Aina Faus-Bertomeu ◽  
Rosa Gómez-Redondo
Keyword(s):  
Causes Of Death ◽  
International Classification Of Diseases ◽  
Epidemiological Transition ◽  
Health Transition ◽  
Fourth Digit ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
La Red ◽  
First Time

A pesar del conocimiento acumulado sobre mortalidad y longevidad se hace imprescindible conocer con mayor profundidad la cuarta fase de la Transición Epidemiológica en la que se encuentra España, como otros países de su entorno, para anticipar la emergencia de un nuevo escalón en la Transición Sanitaria así como su impacto social en los años venideros. Para ello, se precisa del análisis de datos de mortalidad por  causas de muerte con el objeto de seguir su evolución y cambios. No obstante la codificación de las causas de muerte se interrumpe con las sucesivas revisiones a la Clasificación Internacional de Enfermedades (CIE). Por ello, se utiliza la metodología de la reconstrucción de causas de muerte propuesta por France Meslé y Jacques Vallin (1988, 1996), de aplicación en la comunidad científica de los países que forman parte de la red internacional Mortality, Divergence and Causes of Death (MODICOD) y en la que las autoras participan en representación de España. El presente trabajo describe las fases de dicho protocolo y lo ejemplifica con los datos de causas de muerte españolas para el periodo 1980- 2012, reconstruyendo las series entre la CIE-9 y la CIE-10. Los resultados obtenidos garantizan el seguimiento de 6.902 rúbricas de causas de muerte continuas y homogeneizadas que por primera vez se establece a nivel de desagregación del cuarto dígito de la CIE-10 configurándose como un instrumento metodológico en el análisis demográfico-epidemiológico.Despite the accumulated knowledge about mortality and longevity, it is essential to know in the depth of the fourth phase of the Epidemiological Transition in which Spain, like other neighboring countries, is in to anticipate a new step in the Health Transition as well as its impact in the coming years. In this context, the analysis of the data of the causes of death is necessary in order to follow its evolution and changes. However, the codification of causes of death is interrupted by the successive revisions to the International Classification of Diseases and Related Health Problems (ICD). For this reason, the methodology of the reconstruction of causes of death proposed by France Meslé and Jacques Vallin (1988, 1996) is used and applied in the countries that are part of the international network Mortality, Divergence and Causes of Death (MODICOD) and in which the authors participate in representation of Spain. The present work describes the phases of this protocol and exemplifies it with the date of Spanish causes of death for the period 1980 to 2015, reconstructing series between ICD-9 and ICD-10. The results obtained ensuring the monitoring of 6,902 rubrics of continuous and homogenized causes of death at a fourth digit level of the ICD-10, which for the first time is established at a level of the fourth digit of the ICD-10, that are configured as a demographic-epidemiological methodological instrument.

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