Evaluation of Incompleteness and Inconsistency in the Suicide Mortality Information System: A Time Series Analysis in Espírito Santo, Brazil (2014-2019).

Laerson Andrade, Eucilene Santana, Marcos Santos, Marluce Siqueira
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Abstract

Abstract Background: Analysis of Health Systems databases is an essential process for planning, developing and evaluating health policies. This process provides evidence on the health needs of the population for public managers. Objective: To evaluate and analyze the in-completeness and inconsistency of the Suicide Mortality Information System in Espírito Santo, between 2014-2019. Methods: This is a time series study. Secondary data from the Mortality Information System on deaths by suicide between 2014-2019 were used. For de-scriptive analysis, the proportions of incompleteness and inconsistencies were used. The temporal trend analysis of incompleteness and inconsistency was performed using Prais-Winsten regression. Results: During the study period (2014-2019), there were 1,230 deaths by suicide, with the suicide mortality rate ranging from 4.55 (2014) to 6.17 (2019)/100,000 inhabitants. Variables with a growing trend of incompleteness were “Gender” (p = 0.026), “Marital status” (p = 0.010) and “Medical care” (0.027). The variables with a decreasing tendency were: “Necropsy” (p = 0.027) and “Code of the Municipality of Occurrence” (p = 0.027). The variables “Code of the Municipality of Occurrence” (p = 0.132) and “Necropsy” × “Investigation” (p = 0.177) show a constant tendency towards inconsistency. Conclusion: The study allowed the analysis of the Mortality Information System for deaths by suicide in the state of Espírito Santo. The incompleteness of information in the Mortality Information System is not homogeneous between the analyzed variables. As for the incompleteness and inconsistency of the variables, the variables “Gender”, “Age”, “Date of Birth” and “Date of Death” show excellent quality. Keywords: Health Information Management, Health Information Systems, Information Systems, Suicide.
自杀死亡率信息系统的不完整性与不一致性评价:巴西Espírito Santo(2014-2019)的时间序列分析。
背景:卫生系统数据库分析是规划、制定和评估卫生政策的重要过程。这一过程为公共管理人员提供了有关人口健康需求的证据。目的:评价和分析Espírito桑托省2014-2019年自杀死亡率信息系统的不完整性和不一致性。方法:采用时间序列研究。使用了2014-2019年自杀死亡死亡率信息系统的次要数据。对于描述性分析,使用不完整和不一致的比例。采用Prais-Winsten回归进行不完全性和不一致性的时间趋势分析。结果:研究期间(2014-2019年)共有1230人死于自杀,自杀死亡率为4.55(2014)~ 6.17(2019)/10万人。“性别”(p = 0.026)、“婚姻状况”(p = 0.010)和“医疗状况”(0.027)的不完备性呈上升趋势。呈下降趋势的变量为:“尸检”(p = 0.027)和“发生城市代码”(p = 0.027)。变量“发生城市代码”(p = 0.132)和“尸检”ד调查”(p = 0.177)显示出持续的不一致趋势。结论:该研究允许对Espírito Santo州自杀死亡的死亡率信息系统进行分析。死亡率信息系统的信息不完备性在分析变量之间是不均匀的。在变量的不完整性和不一致性方面,“性别”、“年龄”、“出生日期”和“死亡日期”这几个变量的质量都很好。关键词:卫生信息管理,卫生信息系统,信息系统,自杀
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