Spatio-temporal analysis of mortality in the first 24 hours of life and its preventability in the state of Pernambuco, 2000-2019

• Autor(a) principal: Silva, Aline Beatriz dos Santos
• Data de Publicação: 2022
• Outros Autores: Araújo, Ana Catarina de Melo, Bonfim, Cristine Vieira do
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Revista Baiana de Saúde Pública (Online)
• Texto Completo: https://rbsp.sesab.ba.gov.br/index.php/rbsp/article/view/3593
• topic: Mortalidade neonatal precoce; Estatísticas vitais; Análise espaçotemporal; Mortalidad neonatal precoz; Estadísticas vitales; Análisis espaciotemporal; Early neonatal mortality; Vital statistics; Spatio-Temporal analysis

This study aims to analyze the spatio-temporal patterns of mortality in the first 24 hours of life and its preventability in the state of Pernambuco from 2000 to 2019. This is a mixed ecological study with the quarters and the municipalities as units of analysis. The information systems on Mortality and Live Births constituted the data sources. All deaths in the state in the first 24 hours of life and from preventable causes were included, characterized according to proximal, intermediate, and distal risk factors. The analysis of preventability of deaths used the Brazilian List of Preventable Causes of Death by Interventions of the Brazilian National Health System. Mortality and preventability rates in the first 24 hours of life were calculated. Spatial analysis was conducted using scan and temporal statistics according to the Autoregressive Integrated Moving Averages Model. In the period from 2000 to 2019, 13,601 deaths were recorded in the first 24 of life, of which 10,497 (77.19%) were due to preventable causes. Of these, 5,513 (40.53%) were classified as reducible due to adequate care for women during pregnancy. The variables at the proximal level: gestational age < 22 weeks (AR = 855.01) and birth weight < 1,500 grams (AR = 204.03) represent an important part of the deaths that occurred in the first 24 hours of life. The variables gestational age, sex, birth weight, type of pregnancy, type of delivery, mother’s age and maternal education were statistically significant (p < 0.01). Spatial scanning identified the increase in clusters for both rates. The temporal analysis showed that the mortality rate and the mortality rate from preventable causes presented a stationary pattern in the period and the forecast reveals a growing trend. The results show that mortality in the first 24 hours of life and from preventable causes is configured as a public health problem in the state. Areas of greater risk of death were identified and the forecast reveals an increase in the rates.