Racial misclassification is a well-documented weakness of mortality data taken from death certificates. As a result, mortality statistics for American Indians and Alaska Natives (AI/ANs) present, at best, an inaccurate and misleading assessment of mortality in this population. Studies evaluating the quality of race/ethnicity reporting on death certificates have linked data from death certificates to other data sources collected when the decedent was still alive (e.g., Census, Current Population Survey). Such studies have shown substantial misclassification of AI/AN decedents. Despite limitations, linking mortality data from death certificates with data from other sources collected when decedents were living provides opportunities to evaluate and correct misclassification of populations such as AI/AN persons and facilitates the calculation and presentation of more accurate mortality statistics.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035882 | PMC |
http://dx.doi.org/10.2105/AJPH.2013.301647 | DOI Listing |
Child Abuse Negl
January 2025
Division of Epidemiology, School of Public Health, University of California, 2121 Berkeley Way West, Berkeley, CA 94720, USA; Division of Biostatistics, School of Public Health, University of California, 2121 Berkeley Way West, Berkeley, CA 94720, USA.
Background: The number of U.S. deaths due to child maltreatment (abuse and neglect) has been increasing over several years.
View Article and Find Full Text PDFHealth Res Policy Syst
December 2024
South African Medical Research Council, Cape Town, South Africa.
Background: Despite South Africa's well-established Civil Registration and Vital Statistics system (CRVS) and good completeness of death registration, challenges persist in terms of the quality of cause of death information and the delayed availability of mortality statistics. The introduction of an electronic medical certification of cause of death (eMCCD) system may offer opportunities to improve both the quality and timeliness of this information.
Methods: This study used an exploratory mixed methods design to investigate perceptions surrounding an electronic solution for registering deaths in South Africa.
Semin Arthritis Rheum
December 2024
Department of Medicine, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, 55 Fruit St, Yawkey 4B, Boston, MA, USA.
Objectives: Patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) face excess mortality compared with the general population. Mortality in clinical epidemiology research is often examined using death certificate diagnosis codes; however, the sensitivity of such codes in AAV is unknown.
Methods: We performed a retrospective cohort study using the Mass General Brigham AAV Cohort, including patients with AAV who died between 2002 and 2019.
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.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!