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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.

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.

Aims: Little is known regarding temporal trends in mortality attributed to heart failure (HF) from a population perspective. The aim of this study was to assess the mortality related to HF as an underlying cause during the last 20 years in seven European countries., Methods and Results: The number of deaths with HF as the underlying cause was collected in seven European states: Germany, Greece, England and Wales, Spain, France, Finland, and Sweden from 1987 to 2008. Disease coding for HF was based on the International Classification of Diseases (ICD 9th and 10th versions). We computed age-standardized death rates (SDRs) per 100 000 inhabitants. Mean age at death from HF was also calculated for the same period. In the seven studied countries, the HF SDR decreased continuously from 54.2 (1987) to 32.6 (2008). Despite differences in the early 1990s, SDRs related to HF seemed to converge, in these seven European countries, to ∼30 deaths per 100 000 population in the near future, for both men and women. During the study period, the mean age at death increased from 80.0 to 82.7 years. Half of the deaths from HF occurred in hospital, without change over time., Conclusion: There has been a 40% reduction of the SDR due to HF in seven European countries during two decades and a concomitant increase in the mean age at death from HF. We hypothesize that these results may be related to a better management of chronic and acute HF patients over the past 20 years.

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.

We compared trends of Systemic Sclerosis (SS) mortality in France and the USA over the period 1980-1998 and used an Age-Period-Cohort (APC) model to adjust on the age at death of SS patients. All deaths coded with SS as an underlying primary or secondary cause in the national French and US mortality databases from 1980 to 1998 were included in the analysis. SS age-standardized mortality rates increased from 7.2 to 10.3/million in US women (+43%), and from 3 to 3.9/million in French women (+22%). Most of the increase occurred in senior women. In contrast, SS age-standardized death rates remained stable among US men (around 3/million) and French men (around 2/million). In US women, the APC analysis shows a growing cohort effect between 1900 and 1940, tending to stabilize for following cohorts. Similar findings were obtained to a lesser extent in French women. In conclusion, SS mortality rates increased by more than 40% between 1980 and 1998 in the USA, mostly in women born between 1900 and 1940. Whether these trends reflect rising incidence of SS need to be documented. The observed dissimilarity between genders and countries underline that environmental exposure and gender-related factors likely play a major etiological role. Stabilization in the following birth cohorts suggests that the increase of mortality observed since 1980 may slow down in the near future.

Causes of death of 625 subjects who died during the 4-year follow-up of a large population-based elderly cohort (Three-City study) were independently classified by the study adjudication committee and the national mortality register. The former used all available data about the cause of death (hospital records, medical data obtained from family physicians or specialists, and proxy interviews) and the latter used internationally standardized recommendations for processing death certificate data. Comparison showed a moderate overall agreement for underlying cause of death between the study adjudication committee and the national register (kappa = 0.51). Differences were found especially for cardiovascular diseases (20.6% of deaths from the study committee vs. 32.5% from the national register) and ill-defined causes of death (22.7 vs. 4%). The proportion of disagreement increased in participants dying at age >85 compared to those dying at age < or =70 (adjusted odds ratio = 2.46, 95% confidence interval = 1.10-5.49). It was also higher when the study committee used hospital record data for defining cause of death, compared to adjudication based on data obtained from proxy (adjusted odds ratio = 1.85, 95% CI = 1.09-3.14). These findings raise questions about the validity of national mortality registers in very old persons. Disease-specific causes of death, especially vascular diseases, could be overestimated in this age group.

Objectives: The aim of the study was to identify the major heat waves (HW) that occurred in France from 1971 to 2003 and describe their impact on all-cause and cause-specific mortality., Methods: Heat waves were defined as periods of at least three consecutive days when the maximum and the minimum temperature, averaged over the whole France, were simultaneously greater than their respective 95th percentile. The underlying causes of death were regrouped into 18 categories. Heatstroke, hyperthermia and dehydration were assigned to the "heat-related causes" (HRC) category. The numbers of deaths observed (O) during the identified HW were compared to those expected (E) on the basis of the mortality rates reported for the three preceding years., Results: Six HW were identified from the period 1971 to 2003. They were associated with great excess mortality (from 1,300 to 13,700 deaths). The observations are compatible with a moderate harvesting effect for four of the six HW. The mortality ratios increased with age for subjects aged over 55 years and were higher for women than for men over 75 years. For the six HW, the excess mortality was significant for almost all the causes of death: (1) the greatest excess mortality (O-E) were observed for cardiovascular diseases, neoplasms, respiratory system diseases, HRC, ill-defined conditions and injury and poisoning, and (2) the mortality ratios (O/E) were highest for HRC, respiratory diseases, nervous system diseases, mental disorders, infectious diseases, and endocrine and nutritional diseases., Conclusions: Heat waves associated with excess mortality are not rare events in this temperate-climate country. The excess mortality is much greater than HRC mortality. Some populations are particularly vulnerable to HW: the elderly, women and people with some specific diseases. However, no segment of the population may be considered protected from the risks associated with HW.