Method for judging death cause data quality

Abstract

The invention discloses a method for judging death cause data quality. The method comprises the five steps of: step 1: making statistics on daily mortality of three major diseases with ICD codes of A00-R99, I00-I99 and J00-J99; step 2, making a scatter diagram by taking date as horizontal coordinates and mortality as longitudinal coordinates; step 3: comparing the scatter diagram with a standard death data scatter diagram in change trend of the diagram, wherein in the standard death data scatter diagram, the mortality is high in winter and low in summer, and the standard death data scatter diagram has a remarkable seasonal change trend; step 4: making an abnormal data point judgment according to a data trend; and step 5: making a final data quality judgment in combination with original data. The method is scientific in concept, simple in calculation, high in reliability and high in universality. The method has very high application values in judgment of death cause data quality, and has practical application prospects in popularization of practical work of public hygiene and environment health.

Description

technical field [0001] The invention relates to a method for judging the quality of cause of death data. The method is mainly used in the field of health to check the quality of cause of death data and provide high-quality data guarantee for further statistical analysis. Background technique [0002] In recent years, my country has fully implemented the monitoring of causes of death. This data is an important basic data in the field of health in my country, and can provide an important basis for further data analysis and formulation of related policies. However, due to the difficulty of monitoring the cause of death and many factors involved in human reporting, the quality of the cause of death data has always been problematic. Although, in recent years, there have been some methods for verifying the quality of cause of death data, such as checking the weight and calculating the annual mortality rate, etc., but these methods are difficult to find quality problems in the deta...

AI Technical Summary

Problems solved by technology

However, due to the difficulty of monitoring the cause of death and many factors involved in human reporting, the quality of the cause of death data has always been problematic

Although, in recent years, there have been some methods for checking the quality of cause of death data, such as checking the weight and calculating the annual mortality rate, etc., but these methods are difficult to find quality problems in the details of the cause of death data

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