Effect of Cause-of-Death Training on Agreement Between Hospital Discharge Diagnoses and Cause of Death Reported, Inpatient Hospital Deaths, New York City, 2008–2010
Introduction ::: Accurate cause-of-death reporting is required for mortality data to validly inform public health programming and evaluation. Research demonstrates overreporting of heart disease on New York City death certificates. We describe changes in reported causes of death following a New York City health department training conducted in 2009 to improve accuracy of cause-of-death reporting at 8 hospitals. The objective of our study was to assess the degree to which death certificates citing heart disease as cause of death agreed with hospital discharge data and the degree to which training improved accuracy of reporting.
Abstract Interactions between a set of polluting and non-polluting sectors are analyzed using a form of decomposition analysis first proposed by Miyazawa and subsequently modified by Sonis and Hewings. The analysis is applied to a time series set of input–output tables for the Chicago region in an attempt to generate assessments of the internal and external multipliers and their changes over time. The results revealed the important role that structural change will play in determining pollution levels in the region in the future. In addition, significant variations were noted across sectors in terms of the direct and indirect contributions to pollution.