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PubMed1998

Misclassification of coronary heart disease in mortality statistics. Evidence from the WHO-MONICA Ghent-Charleroi Study in Belgium.

STUDY OBJECTIVE: To validate the Belgian vital statistics for coronary heart disease (CHD) on the basis of an independent acute myocardial infarction (AMI) register, carried out as part of the WHO-MONICA project. DESIGN: Records of fatal cases of AMI in the WHO-MONICA register were individually linked to the corresponding death certificates. SETTING: Since 1983, the WHO-MONICA Collaborating Centre Ghent/Charleroi registers all fatal and non-fatal AMI in the age group 25-69 years in two geographical areas, Ghent in the northern Dutch speaking part and Charleroi in the southern French speaking part of Belgium. Registration is done according to the MONICA protocol. The official vital statistics in Belgium are published on a yearly basis. They are essentially a reflection of the "underlying" causes of death, coded according to the 9th revision of the International Classification of Diseases (ICD). The study was undertaken in the period 1983-1991. MAIN RESULTS: Out of a total of 741 (Ghent) and 934 (Charleroi) well documented MONICA fatal cases of AMI, 492 (66.4%) and 641 (68.6%), respectively, were officially labelled as CHD (ICD code 410-414); 438 (59.1%) and 385 (41.2%), respectively, were officially labelled as AMI (ICD code 410). A substantial fraction of the MONICA AMI cases--27.1% in Ghent and 38.2% in Charleroi--was coded as "other forms of CHD" (ICD 411-414) or as "other forms of heart disease" (ICD 420-429). The remaining MONICA AMI cases--13.8% in Ghent and 20.6% in Charleroi--were classified in either very aspecific (for example, atherosclerosis, ICD 440) or totally unrelated ICD codes (for example, neoplasm, ICD 140-239). CONCLUSIONS: It is concluded from the results in this paper that a substantial part of all deaths caused by CHD in Belgium are labelled with incorrect ICD codes and are therefore misclassified in the official mortality statistics for Belgium. This is partly caused by a "drainage" of cases towards less specific CHD related ICD categories. A considerable fraction, however, seems to be absolutely misclassified.

Adult↗
PubMed1999

Variations and inconsistencies in maternal and child health indicators in Ishikawa Prefecture, Japan.

As part of a community health assessment, variations in maternal and child health-related vital statistics data in Ishikawa Prefecture, Japan, from 1984 to 1993 were studied. Annual vital statistics reports published by the Prefectural government were used for the analysis. The following rates by public health district were calculated: abortion rate, early fetal mortality rate, late fetal mortality rate, perinatal mortality rate, neonatal mortality rate, and infant mortality rate. Maternal mortality rates were calculated for the Prefecture because of the small number of events. A few northern public health districts had relatively high perinatal mortality and infant mortality rates throughout the study period. Cause-specific infant mortality rates showed that the northern region had higher infant mortality rates related to the level of perinatal care, injury, and poisoning. Inconsistencies in the pattern of mortality were found in one of the 10 public health districts. No indirect maternal deaths were reported for the 10-year study period. This study identified potential problems for perinatal care in some districts. Results also suggest the potential misclassification of vital events, such as fetal deaths, induced abortions, and maternal deaths.

Abortion, Induced↗
PubMedDate not supplied

10 years after NHANES I: mortality experience at initial followup, 1982-84.

The NHANES I Epidemiologic Followup Study (NHEFS) was initiated jointly by the National Center for Health Statistics and the National Institute on Aging in collaboration with other National Institutes of Health and Public Health Service agencies. The goal of NHEFS is to examine the relationship of baseline clinical, nutritional, and behavioral factors assessed in the first National Health and Nutrition Examination Survey (NHANES I-1971-75) to subsequent morbidity and mortality. Tracing for the initial followup began in 1981 and ended in 1984. This article compares the mortality experience of the NHEFS cohort with survival probabilities and cause-of-death distributions derived from U.S. vital statistics data. The analysis was done for 28 age-race-sex specific subgroups. The survival of each group of the NHEFS cohort corresponds quite closely to that expected on the basis of the U.S. life table survival probabilities. Mortality differentials by age, race, and sex are also quite similar between NHEFS and U.S. vital statistics. In addition, the cause-of-death distributions among NHEFS participants are quite similar to those expected based on national vital statistics. Thus, there do not seem to be any serious biases in the mortality data. The NHEFS, therefore, provides a unique resource for assessing the effects of baseline sociodemographic, health, and nutritional factors on future mortality in a large, heterogeneous sample that is representative of the nation's population.

Actuarial Analysis↗
PubMed1982

Cause of death in very old people.

According to the Vital Statistics, white women have a modal life span of 85 to 90 years, with most individuals dying at around the same age from either ischemic heart disease, cerebrovascular disease, pneumonia, or accidents, or at earlier ages from malignant neoplasms. White men die earlier than women, and nonwhite populations contain two or more subpopulations that die earlier than white populations. Major causes of death listed in Vital Statistics show similar patterns in the aged for all populations. A review of autopsy findings in 200 persons older than 85 years yielded a very different pattern. No acceptable cause of death, other than complications of the aging syndrome, was identified in at least 30% of the cases. Vital Statistics for the aged is misleading because diagnoses are not definitive. Physicians accept causes of death in the aged that would not be acceptable in younger persons, and the role of aging processes themselves as cause of death are not appreciated. Aging is characterized by a universal progressive decline in physiological function to the point where life cannot be maintained in the face of otherwise trivial tissue injury. It is proposed that senescence be viewed as a disease and be accepted as a cause of death.

Age Factors↗
PubMed1997

A method for timely assessment of influenza-associated mortality in the United States.

Influenza-associated mortality has traditionally been estimated as the excess mortality above a baseline of deaths during influenza epidemic periods. Excess mortality estimates are not timely, because national vital statistics data become available after a period of 2-3 years. To develop a method for timely reporting, we used the 121 Cities Surveillance System (121 Cities), maintained at the Centers for Disease Control and Prevention, as an alternative data source. We fit a cyclical regression model to time series of weekly 121 Cities pneumonia and influenza deaths for 1972-1996 to estimate the excess pneumonia and influenza mortality and to compare these figures with national vital statistics estimates for 20 influenza seasons during 1972-1992. Seasonal excess mortality based on 121 Cities correlated well with the national data: for 18 (90%) of 20 seasons, our influenza epidemic severity index category approximated the result based on national vital statistics. We generated preliminary severity categories for the four recent seasons during 1992-1996. We conclude that the 121 Cities Surveillance System can be used for the timely assessment of the severity of future influenza epidemics and pandemics. Timely pneumonia and influenza mortality reporting systems established in sentinel countries worldwide would help alert public health officials and allow prompt prevention and intervention strategies during future influenza epidemics and pandemics.

Centers for Disease Control and Prevention, U.S.↗
PubMed1995

Contribution of heritable disorders to mortality in the pediatric intensive care unit.

OBJECTIVES: To determine the percentage of patients dying in the pediatric intensive care unit (PICU) who have heritable disorders and to compare vital statistics classification of underlying cause of death with underlying heritable disorder identified from medical record review. DESIGN: Retrospective medical record review. SETTING: The PICU of a university-affiliated hospital. METHODS: Medical records were reviewed for all deaths occurring in the PICA over a 5-year period. Further review, including hospital course, clinical findings, and the presence or absence of a genetic evaluation, was accomplished for those patients found to have a chromosome abnormality, recognized syndrome, single major malformation, or unrecognized syndrome. Underlying cause of death classification obtained from the Center for Health Statistics, Arkansas Department of Health was reviewed to determine the frequency with which the underlying heritable disorder was recorded. RESULTS: Fifty-one of 268 (19%) deaths during the study period were in patients with heritable disorders. Of these 51 patients, eight (16%) had chromosome abnormalities, 17 (33%) had a recognized syndrome, 15 (29%) had a single primary defect in development, and 11 (22%) had an unrecognized syndrome. Genetic evaluation was carried out on 45% of patients, with the frequency of evaluation differing between categories of patients with heritable conditions. When underlying cause of death from vital statistics classification was reviewed, 21 of 51 (41%) records did not include the underlying heritable disorder. CONCLUSIONS: Heritable disorders are a frequent cause of mortality in the PICU. Vital statistics classification of underlying cause of death in this population often fails to identify heritable disorders, leading to an underascertainment of these conditions in mortality statistics. Improved cause of death classification procedures will be necessary to target public health interventions to etiology-specific populations.

Child, Preschool↗
PubMed1997

Risk status at discharge and cause of death for postneonatal infant deaths: a total population study.

OBJECTIVES: To obtain population-based, clinical information regarding potentially modifiable factors contributing to death during the postneonatal period (28 to 364 days), we examined all postneonatal infant deaths in four areas of the United States to determine: (1) the cause of death from clinical and autopsy data rather than vital statistics, (2) whether death occurred during initial hospitalization or after discharge, and (3) the portion of postneonatal mortality attributable to infants who left the hospital with identified high-risk medical conditions. DESIGN AND SETTING: Retrospective medical record review of all postneonatal infant deaths with birth weights greater than 500 g (total N = 386) born to mothers residing in: (1) the city of Boston (1984 and 1985, N = 55), (2) the city of St Louis and contiguous areas (1985 and 1986, N = 123), (3) San Diego County (1985, N = 112), and (4) the state of Maine (1984 and 1985, N = 96). Deaths were identified using linked birth and death vital statistics, and medical record audits of infants' and mothers' charts were performed. Causes of death were obtained from medical record review in conjunction with autopsy if performed (72%, N = 278), medical record alone (17%, N = 67), or vital statistics if no other source was available (11%, N = 41). The medical conditions at the time of discharge for each infant were reviewed and, if judged to confer an increased risk of morbidity or mortality, were classified as high risk. RESULTS: The causes of death were sudden infant death syndrome (47%, N = 181), congenital conditions (20%, N = 77), prematurity-related conditions (11%, N = 43), infections (9%, N = 34), external causes (including injuries, drownings, ingestions, and burns) (7%, N = 25), and other (6%, N = 23). In 24% of congenital and 25% to 44% of prematurity-related deaths, infection was the acute or associated cause of death. Infants born to black mothers were more likely than those born to white mothers to die during the postneonatal period of all major causes of death (7.3 per 1000 vs 3.0 per 1000). Overall, 18% (N = 68) of deaths occurred to infants who never left the hospital; 79% (N = 305) of the infants were discharged before death; and discharge status was unknown in 3% (N = 13). Eighty-one percent of all infants with prematurity-related postneonatal deaths were never discharged, and of the total infants who were initially discharged, only 1% (N = 4) subsequently died of prematurity-related causes. Of all postneonatal deaths, only 16% (N = 62) left the hospital with identified high-risk medical conditions. CONCLUSIONS: These findings suggest that the etiology of postneonatal mortality is heterogeneous, with significant complexity in attributing specific causes of death and making designations of "preventability." The vast majority of infants who died of prematurity-related postneonatal causes never left the hospital, and only a small percentage of all infants that left the hospital before death were identified as being at high medical risk. Therefore, strategies for further decreasing postneonatal mortality must link high-risk follow-up programs to more comprehensive strategies that address risk throughout pregnancy and early childhood.

Cause of Death↗
PubMed1981

Problems in a statistical study of disease based on death certificates.

Data obtained from death certificates are used to establish the frequency of diseases for vital statistics. In Morgan County, Georgia, 5,787 death certificates registered between 1927 and 1979 were examined for this study. Data referable to age, sex, race, and the cause of death were recorded, with primary emphasis on cancer. The cause of death in these certificates was based primarily on clinical diagnoses. Some certificates cited neoplasms in which the site of origin was not given, and in others the type of neoplasm was difficult to correctly code. In some, a tumor was recorded but was not coded. The format of these certificates was changed by the state several times during this period, apparently to improve their credibility. Review of these registered death certificates, used for vital statistics in both Georgia and Washington, indicates that the data would contribute no scientific information on the frequency of cancer.

Adolescent↗
PubMed2004

Reengineering vital registration and statistics systems for the United States.

For more than a hundred years, the United States has operated a decentralized vital statistics system as an essential component of public health. Statistics based on births and deaths registered in the United States are a primary source of data used to track health status, to plan, implement, and evaluate health and social services, and to set health policy. The national vital statistics system provides nearly complete, continuous, and comparable federal, state, and local data. The system, however, is based on outmoded vital registration practices and structures, which raises concerns about data quality, timeliness, and the lack of real-time linkage capabilities. While many organizations are working together to address these issues and have made notable achievements, questions remain to be answered. Efforts to rejuvenate the nation's vital statistics system will need to expand dramatically to provide public health with a timely, high-quality, and flexible system to monitor vital health outcomes at the local, state, and national levels.

Birth Certificates↗
PubMed2000

Characterising life-span variability in a population using the life-table-based Lorenz-curve analysis.

BACKGROUND: 'Life expectancy' (LE) is a health-status indicator in widespread use. However, LE is an index of central location, but not of dispersion. It cannot describe inter-individual variation in the life-span. This author proposes using the Gini coefficient, a summary index of the Lorenz curve, for characterising life-span variability. Like the LE, the proposed index is also based on a lifetable. METHOD: The method is a nonparametric approach that does not make specific assumptions about mortality rates. RESULTS: The author uses vital statistics from Taiwan as a demonstration and finds that the method provides information crucial to the understanding of the epidemiologic transitions of the past 20 years (Gini decreases from 0.1320 to 0.1130). It also quantifies the impacts of elimination of some selected causes of death in Taiwan. CONCLUSIONS: It is recommended that Gini be routinely compiled in official vital statistics, along with the LE.

Adolescent↗
PubMedDate not supplied

Experiences with linked birth and infant death certificates from the NIMS project.

The National Infant Mortality Surveillance (NIMS) project aggregated data provided by 53 vital statistics reporting areas--50 States, New York City, the District of Columbia, and Puerto Rico (subsequently called States)--from their files of linked birth and death certificates and compared individual States' total infant mortality experiences for the 1980 birth cohort by age at death, race, birth weight, and plurality. Therefore, it was essential to achieve maximum uniformity among the separate data sets and to specify when this uniformity could not be obtained. In working with these multiple sources, we identified five key issues that relate to data from linked birth and death certificates: Variations in definitions of variables are often embedded in data that have been gathered from several independent sources. (For NIMS, the sources were 53 reporting areas and the National Center for Health Statistics.) Variations in States' linking procedures--these are based on an individual State's primary purpose for linking the data--affect the completeness and comparability of the 1980 resident birth cohorts used for NIMS. Variations in the recording of some pregnancy outcomes as fetal deaths or live births are known to be a problem in vital statistics data that particularly affects data for events among infants weighing less than 500 g at birth. Ambiguities occur frequently in unknowns or zero values. For NIMS this effect was most pronounced for the pregnancy history variables. Examination of the values reported for unknown or zero categories helps in uncovering problems with and improving quality of data. (e) Analysis from a new perspective may reveal unexpected data problems. These problems tend to surface only during a reexamination of underlying data that is prompted by unusual findings.Continued alertness to these issues may improve further the quality of data in files of linked birth and death certificates and assure the integrity of analysis based on these data.

Birth Certificates↗
PubMed1999

Do Mexican Americans really have low rates of cardiovascular disease?

In this article we challenge the conclusion made from vital statistics that Hispanic Americans have lower all-cause and cardiovascular disease (CVD) mortality than non-Hispanic whites. There is reason to believe that vital statistics underascertain minority, and in particular Hispanic, deaths. Cohort studies minimize many of these limitations. In the San Antonio Heart Study risk factor distributions predicted higher all-cause and CVD mortality among Mexican Americans than among non-Hispanic whites. Follow-up of the cohort confirmed a mortality ratio of 1.38 for all-cause and 1.30 for CVD mortality for Mexican Americans vs non-Hispanic whites. This excess risk was confined to U.S.-born Mexican Americans, since immigrants from Mexico had very low mortality despite low socioeconomic status. We attribute this latter finding to a "healthy migrant effect."

Cardiovascular Diseases↗
PubMed2000

A method for constructing complete annual U.S. life tables.

OBJECTIVES: This report describes a method for constructing complete annual U.S. life tables and for extending the age coverage of the life table to age 100. Previously, annual life tables were based on an abridged methodology and were closed with the age category 85 years and over. In the United States, approximately one-third of the population survives beyond age 85 years. This fact, coupled with improvements in age reporting and the availability of higher quality old-age mortality data, recommends that the life table be closed at an older age. METHODS: The method, similar to that used to construct the decennial life tables, uses vital statistics and census data to calculate death rates for ages under 85 years and Medicare data for ages 85 years and over. Previously, the annual life tables were abridged, and used only vital statistics and census data. CONCLUSIONS: The complete life table methodology described in this report produces estimates of life expectancy at ages 100 years and younger that are consistent with previously published life tables. Complete life tables based on 1996 mortality data compared favorably with published 1996 abridged life tables and with the 1989-91 decennial life tables. The methodology was implemented beginning with final mortality data for 1997.

Adolescent↗
PubMed2000

Overview: epilepsy surgery in developing countries.

Epilepsy surgery (ES) is addressed in relation to economic classifications of national resources and welfare in developing countries. A decade ago, ten developing countries conducted ES; now 26 such countries have reported results of ES. A number of international authorities define indicators of national economic welfare. Adopting the economic classification of the International Monetary Fund. we find that ES is nonexistent in 98% of African countries, 76% of Asian countries, 58% of European countries, 82% of Middle East countries, and in 86% of countries of the Western Hemisphere. The 1980-1990 global ES survey conducted by the International League Against Epilepsy identified ten developing countries reporting ES (DCRES): Brazil, China, Czechoslovakia, Hungary, Mexico, Poland, Taiwan, the U.S.S.R., Yugoslavia, and Viet Nam. The present survey based on the proceedings of the 19th-23rd International Epilepsy Congresses and Medline reports from 1991 to November 1999 revealed at least 26 (18.3%) DCRES of 142 developing countries: Argentina, Brazil, Chile, China, Colombia, Czech Republic, Egypt, Estonia, Hungary, India, Iran, Israel, Korea, Lithuania, Mexico, P.R.China, the U.S.S.R., Singapore, Slovenia, South Africa, South Korea, Taiwan, Turkey, Ukraine, Uruguay, and former Yugoslavia. National vital statistics expose the hardships of developing countries. The population ratio of developed countries to developing countries is approximately 1:5. The reverse per capita Gross Domestic Product ratio is 20:1. Great disparities exist in vital statistics, all to the disadvantage of the DCRES. The World Health Organization defines health-related sectors geographically, then divides developing countries into several subgroups. Disability caused by length of disease and years lived with disability can be quantified monetarily for epilepsy, and the total health expenditures of developed and developing countries can be compared. The DCRES are short of technology, and their ES teams must choose from an excess of surgical candidates, investigating with computed tomography, magnetic resonance imaging, noninvasive video-electroencephalography, and neuropsychology. The surgical outcomes achieved are similar to those in the developed world, but at a fractional cost. To internationalize ES, outcome, cost, and savings from care, evolution of assessment methodology is needed. Also needed is general support from the developed world.

Adolescent↗
PubMed1995

Guatemala: maternal mortality in Guatemala: assessing the gap, beginning to bridge it.

Developing countries which have somewhat reliable vital statistics but poor or incomplete information about maternal mortality must make the most of the data available. Such data may require modification for maternal mortality analyses. What is important, however, is the decision to use available information and to analyse it properly. The analysis of maternal mortality in Guatemala, using data from 1986 birth and death certificates, identified particular areas, health regions, and particular ethnic groups that had significantly higher maternal mortality ratios than others. Small but disproportionately affected populations that had no available maternal health assistance were identified-a problem found in many developing countries. These groups urgently need the services of traditional birth attendants or other forms of assistance before, during and after delivery. The analysis of vital statistics led to the beginning of operative research and the collection of background information for establishing an epidemiologic surveillance programme for maternal mortality.

Adolescent↗
PubMed1996

Age-period-cohort analysis of suicide mortality rates in Spain, 1959-1991.

BACKGROUND: Although there is evidence that suicide rates may be increasing in Spain, formal epidemiological studies have been limited to specific cities or counties. The objective of this study was to investigate nationwide trends in suicide mortality from 1959 to 1991 in Spain, with emphasis on age, period, and cohort effects. METHODS: Age- and sex-specific suicide mortality rates from 1959 until 1991 were obtained from official vital statistics tables from the Instituto Nacional de Estadística, the official registry of vital statistics in Spain. Poisson regression and graphical methods were used to model and estimate age, period and cohort effects. RESULTS: Suicide mortality rates increased with age, with a proportional increment for each decade of life of 45% (95% confidence interval: 45-46%). In both males and females, age-adjusted suicide mortality rates decreased from 1959 until the late 1970s and early 1980s. In 1982, trends started to increase, returning to the levels of 1959 in less than 6 years. Cohort effects were small for cohorts born prior to 1940. For cohorts born after 1950, suicide rates increased markedly. CONCLUSIONS: The increase in suicide mortality in younger cohorts and the high rates of suicide in the elderly demand further investigation to establish causal mechanisms and preventive strategies.

Adolescent↗
PubMed1998

Declines in teenage birth rates, 1991-97: national and state patterns.

This report presents data on the numbers of teenage births and teenage birth rates for the United States for the period 1950-97 and State-specific birth rates for teenagers for 1991-96. After increasing sharply in the late 1980's, birth rates declined for American teenagers from 1991 through 1997. Rates fell overall by 16 percent for teenagers 15-17 years and by 11 percent for teenagers 18-19 years. Declines were reported for all race and ethnic origin groups, with the largest declines found for black teenagers, especially those aged 15-17 years. Particularly noteworthy has been the 21-percent decline in the rate of second births for teenagers who have had one child. Rates have fallen for first births as well, but the reductions are more modest, about 6 percent. Teenage mothers and their babies continue to be at greater risk of adverse health consequences compared with older mothers, including higher rates of preterm birth and low birthweight. While teenage birth rates vary considerably by State, rates fell in all States in the 1990's with nearly all declines statistically significant. Rates for black and non-Hispanic white teenagers dropped in most States from 1991 to 1996. Birth rate trends for Hispanic teenagers by State were not consistent. The proportion of second and higher order births among all teenage births declined substantially in most States. Data are from the National Center for Health Statistics' (NCHS) National Vital Statistics System.

Adolescent↗