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Large-scale analyses of causes of neonatal deaths are usually based on death-certificate information. A new computer-based method has been introduced to define the cause of stillbirths and neonatal deaths in large amounts of material and to classify them according to two different models [Wigglesworth and Neonatal and Intrauterine death Classification according to (a)Etiology (NICE)]. The method is based on a combination of detailed information from health care registries and the death-certificate information. The present study aimed to compare these two classification models with a previously published method based solely on death certificate information [International Collaborative Effort (ICE)]. The study population comprised 2378 neonatal deaths in Sweden between 1987 and 1992. Cross-tabulation was made between the ICE classification and the other two classification models. In addition, case examples are presented in detail, exemplifying how classification errors arose. The ICE classification gives a rather low precision, notably for two important causes of death: asphyxia and immaturity. Among 328 infants dying from asphyxia according to computerized Wigglesworth classification, ICE classified 59% as asphyxia and 22% were labelled immaturity. When ICE classified the deaths as due to asphyxia, this was verified in only 50%. Among 792 infants dying from immaturity according to computerized Wigglesworth classification, 64% were classified as such by ICE. The findings cast doubts on the results of studies based exclusively on death-certificate information. Whenever possible in the analysis of neonatal deaths, death-certificate information should be supplemented with more detailed data. The computer-based method introduced here makes such analyses possible for large databases. [ABSTRACT FROM AUTHOR]

Background: Stillbirths and neonatal deaths are often the result of a complicated chain of events. For epidemiological purposes a classification into single cause of death groups is essential. For large-scale studies, a method is needed which enables such grouping based on available register data.Methods: A cause of death classification system called NICE is presented. It is hierarchical and is aetiologically orientated. A computerized method is adapted which makes use of data in four central Swedish registries. A validation of the computer method has been made from the medical records on a 10% sample of all stillbirths and neonatally dead infants in Sweden from 1983 to 1990.Results: The specificity of the computer method is high, sensitivity is less satisfactory for some subgroups. A time trend analysis illustrates the usefulness of the classification system and shows a decline with time for two groups: placental abruption and obstetric complications.Conclusions: The NICE classification system fulfils the criteria of an aetiologically orientated classification system which can be used in a computerized environment. [ABSTRACT FROM AUTHOR]

Background: In large-scale epidemiological studies of stillbirths and neonatal deaths a method is needed to replace detailed medical record audits in order to determine the cause of death.Methods: A computer-based method is presented for determination of the cause of death in stillbirths and in neonatal deaths. It utilizes information in the Swedish medical registries. The study comprises 6044 dead infants born in Sweden from 1983-1990. For each infant the program determines 31 basic characteristics which are important in deciding the cause of death. Based on these characteristics a modified Wigglesworth's classification is used to find the cause of death. The validity of the method was checked by comparing the computer generated information with information obtained by scrutinizing medical records for a 10% representative sample (603 infants).Results: Specificity and sensitivity for each basic characteristic varied, but for the modified Wigglesworth cause of death classification the concordance was 88%. The weakest data refer to intrauterine deaths, where pertinent information was often missing in the medical registries.Conclusion: The method can be used for large-scale epidemiological studies. [ABSTRACT FROM AUTHOR]