Background: Mortality statistics derived from cause of death data are an important source of information for population health monitoring, priority setting and planning. In Perú, almost all death certificates are issued by doctors because it is a legal requirement. However, the quality of cause of death data is poor. In August 2016, the Ministry of Health of Perú decided to make two specific interventions to improve cause of death data: to introduce an online death certification system and to train doctors in standard death certification practices.
Methods: The study comprised a random sample of 300 pre-intervention death certificates, 900 death certificates that were part of the online intervention, and 900 death certificates that were part of both the online and training interventions. All the deaths had occurred between January and September 2017. We used the Assessing the quality of death certification tool from the University of Melbourne for the assessment. We examined the frequency of common errors in death certificates, the frequency of any error and the average error score for each category of: age group, sex, doctor's seniority, doctor's speciality, level of health facility and broad cause of death.
Results: The average error score declined by 38% due to the online intervention and by a further 26% due to the training intervention. Improved certification practices remained after controlling for potentially confounding factors. Main improvements were reductions in the absence of a time interval (66% of certificates), incorrect sequence of causes (22%), and ill-defined conditions (13%).
Conclusions: This study demonstrates how the two interventions introduced by the Ministry of Health in Perú improved the correctness of death certificates. The study also provides evidence on necessary changes to the training program to address the poor certification practices that have remained after implementation of the online system.
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http://dx.doi.org/10.1186/s12889-018-6264-1 | DOI Listing |
Arch Dis Child Fetal Neonatal Ed
December 2024
Centre for Research in Epidemiology and Statistics Obstetrical Perinatal and Pediatric Epidemiology Research Team, Paris, Île-de-France, France.
Objective: The objective is to evaluate changes in survival to discharge of liveborn infants less than 32 weeks' gestational age (GA) in France, where the latest available data on very preterm survival at a national-level are from the EPIPAGE-2 cohort in 2011.
Design: Population-based cohort study.
Setting: Metropolitan France in 2011, 2015 and 2020.
J Pediatr
December 2024
Division of Neonatology, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania.
Objective: To investigate individual-, hospital-, and community-level factors associated with sudden unexpected infant death (SUID) among infants born preterm.
Study Design: The following linked dataset from 5 states (California, Michigan, Oregon, Pennsylvania, and South Carolina) from 2005 through 2020 was used: 1) infant birth and death certificates; 2) maternal and infant birth hospitalization discharge records; 3) birthing hospital data from the American Hospital Association; and 4) community-level data from the Social Vulnerability Index (SVI).) Multivariable models were used to assess the independent association between these multi-level factors and SUID, adjusting for several maternal and infant characteristics.
Am J Prev Cardiol
March 2025
Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
Aims: To investigate the association between body mass index (BMI) at acute myocardial infarction (AMI) and all-cause as well as cause-specific long-term mortality.
Methods: The analysis was based on 10,651 hospitalized AMI patients (age 25-84 years) recorded by the population-based Myocardial Infarction Registry Augsburg between 2000 and 2017. The median follow-up time was 6.
Ann Epidemiol
December 2024
Department of Epidemiology, Columbia University Mailman School of Public Health, 722 W 168(th) St, New York, NY, 10032 United States. Electronic address:
Purpose: Most drug-related deaths in the United States (US) in 2022 involved opioids. However, methodological challenges in overdose surveillance may contribute to underestimation of opioid involvement in the overdose crisis. This scoping review aimed to synthesize existing literature to examine the breadth and contributing sources of misclassification of opioid-related overdose deaths.
View Article and Find Full Text PDFPopul Health Metr
December 2024
Institut National d'Etudes Demographiques (INED) 9 Cours Des Humanités, CS 50004, 93322, Aubervilliers Cedex, Paris, France.
Background: In countries with high life expectancy, a growing share of the population is living with several diseases, a situation referred to as multi-morbidity. In addition to health data, cause-of-death data, based on the information reported on death certificates, can help monitor and characterize this situation. This requires going beyond the underlying cause of death and accounting for all causes on the death certificates which may have played various roles in the morbid process, depending on how they relate to each other.
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