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Abstract Background Monitoring the time course of mortality by cause is a key public health issue. However, several mortality data production changes may affect cause-specific time trends, thus altering the interpretation. This paper proposes a statistical method that detects abrupt changes ("jumps") and estimates correction factors that may be used for further analysis. Methods The method was applied to a subset of the AMIEHS (Avoidable Mortality in the European Union, toward better Indicators for the Effectiveness of Health Systems) project mortality database and considered for six European countries and 13 selected causes of deaths. For each country and cause of death, an automated jump detection method called Polydect was applied to the log mortality rate time series. The plausibility of a data production change associated with each detected jump was evaluated through literature search or feedback obtained from the national data producers. For each plausible jump position, the statistical significance of the between-age and between-gender jump amplitude heterogeneity was evaluated by means of a generalized additive regression model, and correction factors were deduced from the results. Results Forty-nine jumps were detected by the Polydect method from 1970 to 2005. Most of the detected jumps were found to be plausible. The age- and gender-specific amplitudes of the jumps were estimated when they were statistically heterogeneous, and they showed greater by-age heterogeneity than by-gender heterogeneity. Conclusion The method presented in this paper was successfully applied to a large set of causes of death and countries. The method appears to be an alternative to bridge coding methods when the latter are not systematically implemented because they are time- and resource-consuming.

Background In the age of big data in healthcare, automated comparison of medical diagnoses in large scale databases is a key issue. Our objectives were: 1) to formally define and identify cases of independence between last hospitalization main diagnosis (MD) and death registry underlying cause of death (UCD) for deceased subjects hospitalized in their last year of life; 2) to study their distribution according to socio-demographic and medico-administrative variables; 3) to discuss the interest of this method in the specific context of hospital quality of care assessment. Methods 1) Elaboration of an algorithm comparing MD and UCD, relying on Iris, a coding system based on international standards. 2) Application to 421,460 beneficiaries of the general health insurance regime (which covers 70% of French population) hospitalized and deceased in 2008-2009. Results 1) Independence, was defined as MD and UCD belonging to different trains of events leading to death 2) Among the deaths analyzed automatically (91.7%), 8.5% of in-hospital deaths and 19.5% of out-of-hospital deaths were classified as independent. Independence was more frequent in elder patients, as well as when the discharge-death time interval grew (14.3% when death occurred within 30 days after discharge and 27.7% within 6 to 12 months) and for UCDs other than neoplasms. Conclusion Our algorithm can identify cases where death can be considered independent from the pathology treated in hospital. Excluding these deaths from the ones allocated to the hospitalization process could contribute to improve post-hospital mortality indicators. More generally, this method has the potential of being developed and used for other diagnoses comparisons across time periods or databases. [ABSTRACT FROM AUTHOR]

Background: Electronic death certification was established in France in 2007. A methodology based on intrinsic characteristics of death certificates was designed to compare the quality of electronic versus paper death certificates. Methods: All death certificates from the 2010 French mortality database were included. Three specific quality indicators were considered: (i) amount of information, measured by the number of causes of death coded on the death certificate; (ii) intrinsic consistency, explored by application of the International Classification of Disease (ICD) General Principle, using an international automatic coding system (Iris); (iii) imprecision, measured by proportion of death certificates where the selected underlying cause of death was imprecise. Multivariate models were considered: a truncated Poisson model for indicator (i) and binomial models for indicators (ii) and (iii). Adjustment variables were age, gender, and cause, place, and region of death. Results: 533,977death certificates were analyzed. After adjustment, electronic death certificates contained 19% [17%-20%] more codes than paper death certificates for people deceased under 65 years, and 12% [11%-13%] more codes for people deceased over 65 years. Regarding deceased under and over 65 respectively, the ICD General Principle could be applied 2% [0%-4%] and 6% [5%-7%] more to electronic than to paper death certificates. The proportion of imprecise death certificates was 51% [46%-56%] lower for electronic than for paper death certificates. Conclusion: The method proposed to evaluate the quality of death certificates is easily reproducible in countries using an automatic coding system. According to our criteria, electronic death certificates are better completed than paper death certificates. The transition to electronic death certificates is positive in many aspects and should be promoted. [ABSTRACT FROM AUTHOR]

We present the results that we have obtained in analysing all death certificates notified in 2000, in France, with a mention to at least one of the ICD10 codes concerning influenza.We found 1865 death certificates with a mention of influenza. The wording used by doctors to state influenza was not standardised; for example, the ICD code J111 covers 48 different expressions. For 1576 death certificates, influenza was the underlying cause of death according to the rules of the Automated Classification of Medical Entities (ACME). Only four of these certificates correspond to virologically confirmed influenza (J101). Three hundred and fifteen were classified as J110 (influenza with pneumonia). The majority (1233) were classified as J111 (influenza with other respiratory manifestations). The specificity and sensitivity of the physician''s classification of influenza as underlying cause were low, emphasizing the need for a better education in coding, possibly new insight into the search for the underlying cause in very old patients with multiple pathologies. [Copyright &y& Elsevier]

Background Little representative information exists on the frequency of human immunodeficiency virus (HlV)-related diseases among the overall AIDS population. The objective of this research Is to assess the nature, frequency and characteristics of these diseases among AIDS patients during their last year of life and to analyse these frequencies according to the mode of transmission and other socio-demographic and medical characteristics. Background Little representative information exists on the frequency of human immunodeficiency virus (HlV)-related diseases among the overall AIDS population. The objective of this research Is to assess the nature, frequency and characteristics of these diseases among AIDS patients during their last year of life and to analyse these frequencies according to the mode of transmission and other socio-demographic and medical characteristics. Methods To obtain comprehensive data, we conducted an investigation based on retrospective collection of clinical Information on a representative sample (1203 deaths) of all AIDS deaths that occurred in France during 1992. Results The frequency of the diseases was markedly higher than the one described In the AIDS surveillance registers and varied between homosexuals and intravenous drug users (IVDU). After controlling for other variables (age, CD4 counts, survival times) by means of logistic regression, homosexuality remained a significant explaining factor for Kaposi's sarcoma, cytomegalovirus Infections, herpes simplex and cryptosporidiosis. In contrast, HIV encephalopathy, hepatitis, mental disorders, invasive candidlasis and cachexia were more frequent in male IVDU. Few differences were observed by sex. Conclusions Several factors may explain the differences: variation in exposure to infectious agents, general health status, use of medical care and direct influence of the mode of HIV transmission. These data are of particular value for medical services in planning the magnitude of health care needs among the AIDS population overall, for clinicians and researchers for advancing the understanding of the natural history of AIDS and in the definition of prophylactic strategies against opportunistic infections. [ABSTRACT FROM PUBLISHER]