Qualineo Strategy Indicators Associated with Neonatal Death: A Cross-Sectional Study.

3区 综合性期刊
Camila Evangelista de Sousa Campelo, Cynthia Roberta Dias Torres Silva, Rejane Corrêa Marques, Ana Maria Ribeiro Dos Santos, Nathaly Marques Santos Machado, Márcia Teles de Oliveira Gouveia
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引用次数: 0

Abstract

Context: The Qualineo Strategy is an effective measure for reducing neonatal mortality in regions with the highest death rates. In addition, it is a relevant Brazilian tool for strengthening teamwork and neonatal assistance. This study aims to analyze the predictors of neonatal death in the indicators of care provided by the Qualineo Strategy at a reference maternity hospital in Piauí, in the years 2021 to 2022.

Methods: This is a retrospective study of 1856 newborn records. Pearson's chi-squared test was used to assess the association between the variables; a predictive regression model was used to identify the variables that predict neonatal mortality.

Results: There was a significant association between all neonatal variables and the outcome of death (p < 0.05). The predictor variables for death in term newborns were the use of drugs by the mother and admission to the Neonatal Intensive Care Unit. For premature newborns, the predictor variables were, as follows: the use of cannula ventilation, an Apgar score in the 1st minute <7; and admission to the Neonatal Intensive Care Unit.

Conclusions: The results will make it possible to visualize better strategies for the reality analyzed and reinforce the importance of prenatal care.

与新生儿死亡相关的 Qualineo 战略指标:一项横断面研究。
背景:在死亡率最高的地区,Qualineo 战略是降低新生儿死亡率的有效措施。此外,它还是巴西加强团队合作和新生儿援助的相关工具。本研究旨在分析皮奥伊州一家参考产科医院在 2021 年至 2022 年期间根据 Qualineo 战略提供的护理指标预测新生儿死亡的因素:这是一项对 1856 份新生儿病历进行的回顾性研究。皮尔逊卡方检验用于评估变量之间的关联;预测回归模型用于确定预测新生儿死亡率的变量:结果:所有新生儿变量与死亡结果之间都有明显的关联(P < 0.05)。预测足月新生儿死亡的变量是母亲用药和入住新生儿重症监护室。对于早产新生儿,预测变量如下:使用插管通气、Apgar 评分在第 1 分钟得出结论:这些结果将有助于针对所分析的现实情况制定更好的战略,并加强产前护理的重要性。
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来源期刊
自引率
0.00%
发文量
14422
期刊介绍: International Journal of Environmental Research and Public Health (IJERPH) (ISSN 1660-4601) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes, and short communications in the interdisciplinary area of environmental health sciences and public health. It links several scientific disciplines including biology, biochemistry, biotechnology, cellular and molecular biology, chemistry, computer science, ecology, engineering, epidemiology, genetics, immunology, microbiology, oncology, pathology, pharmacology, and toxicology, in an integrated fashion, to address critical issues related to environmental quality and public health. Therefore, IJERPH focuses on the publication of scientific and technical information on the impacts of natural phenomena and anthropogenic factors on the quality of our environment, the interrelationships between environmental health and the quality of life, as well as the socio-cultural, political, economic, and legal considerations related to environmental stewardship and public health. The 2018 IJERPH Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJERPH. See full details at http://www.mdpi.com/journal/ijerph/awards.
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