Background: Death certificates (DC) can provide valuable health status data regarding disease incidence, prevalence and mortality in a community. It can guide local health policy and help in setting priorities. Incomplete and inaccurate DC data, on the other hand, can significantly impair the precision of a national health information database. In this study we evaluated the accuracy of death certificates at a tertiary care teaching hospital in a Karachi, Pakistan.
Methods: A retrospective study conducted at Aga Khan University Hospital, Karachi, Pakistan for a period of six months. Medical records and death certificates of all patients who died under adult medical service were studied. The demographic characteristics, administrative details, co-morbidities and cause of death from death certificates were collected using an approved standardized form. Accuracy of this information was validated using their medical records. Errors in the death certificates were classified into six categories, from 0 to 5 according to increasing severity; a grade 0 was assigned if no errors were identified, and 5, if an incorrect cause of death was attributed or placed in an improper sequence.
Results: 223 deaths occurred during the study period. 9 certificates were not accessible and 12 patients had incomplete medical records. 202 certificates were finally analyzed. Most frequent errors pertaining to patients' demographics (92%) and cause/s of death (87%) were identified. 156 (77%) certificates had 3 or more errors and 124 (62%) certificates had a combination of errors that significantly changed the death certificate interpretation. Only 1% certificates were error free.
Conclusion: A very high rate of errors was identified in death certificates completed at our academic institution. There is a pressing need for appropriate intervention/s to resolve this important issue.
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http://dx.doi.org/10.1186/1472-6963-13-205 | 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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