巴西胃肠道畸形死亡率的社会决定因素:一项全国性研究。

IF 0.8 4区 医学 Q4 PEDIATRICS
World Journal of Pediatric Surgery Pub Date : 2024-05-21 eCollection Date: 2024-01-01 DOI:10.1136/wjps-2023-000759
Ayla Gerk, Amanda Rosendo, Luiza Telles, Arícia Gomes Miranda, Madeleine Carroll, Bruna Oliveira Trindade, Sarah Bueno Motter, Esther Freire, Gabriella Hyman, Julia Ferreira, Fabio Botelho, Roseanne Ferreira, David P Mooney, Joaquim Bustorff-Silva
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引用次数: 0

摘要

简介在巴西,约有5%的人在出生时患有先天性疾病,如果不进行手术可能会致命。本研究旨在评估巴西胃肠道先天性畸形(GICM)死亡率、健康指标和社会经济因素之间的关系:方法:利用国家数据库收集了2012年至2019年期间的胃肠道先天性畸形(GICM)入院病例(Q39-Q45)。此外,还考虑了患者人口统计学、社会经济因素、临床管理、结果和医护人员密度。我们从国家数据集中提取了儿科外科劳动力密度和地区新生儿重症监护室数量,并将其结合起来,创建了一个名为 "NeoSurg "的临床指数。社会经济变量被合并为社会经济指数,称为 "SocEcon"。使用简单线性回归来研究这两个指数的时间变化是否显著。使用皮尔逊相关系数评估了巴西死亡率与不同指标之间的相关性:8 年间,巴西共记录了 12804 例 GICM 住院病例。其中,东南部有 6147 例,其次是东北部(2660 例)、南部(1727 例)、北部(1427 例)和中西部(843 例)。北部和东北部的死亡率最高,新手术率和社会经济指数最低。然而,各地区的死亡率从 7.7%(2012 年)下降到 3.9%(2019 年),降幅达 51.7%。北部和中西部的降幅最大,分别为 63% 和 75%。几乎所有地区的死亡率都与这些指数密切相关(p 结论:我们的研究强调了健康的社会决定因素与巴西 GICM 死亡率之间的相关性,在儿科人群中使用了两个新的指数。这些发现为我们提供了一个重新思考和讨论新指标的机会,这些新指标可以加深我们对巴西的了解,并能帮助我们制定必要的解决方案,以应对巴西和全球现有的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social determinants of gastrointestinal malformation mortality in Brazil: a national study.

Introduction: In Brazil, approximately 5% are born with a congenital disorder, potentially fatal without surgery. This study aims to evaluate the relationship between gastrointestinal congenital malformation (GICM) mortality, health indicators, and socioeconomic factors in Brazil.

Methods: GICM admissions (Q39-Q45) between 2012 and 2019 were collected using national databases. Patient demographics, socioeconomic factors, clinical management, outcomes, and the healthcare workforce density were also accounted for. Pediatric Surgical Workforce density and the number of neonatal intensive care units in a region were extracted from national datasets and combined to create a clinical index termed 'NeoSurg'. Socioeconomic variables were combined to create a socioeconomic index termed 'SocEcon'. Simple linear regression was used to investigate if the temporal changes of both indexes were significant. The correlation between mortality and the different indicators in Brazil was evaluated using Pearson's correlation coefficient.

Results: Over 8 years, Brazil recorded 12804 GICM admissions. The Southeast led with 6147 cases, followed by the Northeast (2660), South (1727), North (1427), and Midwest (843). The North and Northeast reported the highest mortality, lowest NeoSurg, and SocEcon Index rates. Nevertheless, mortality rates declined across regions from 7.7% (2012) to 3.9% (2019), a 51.7% drop. The North and Midwest experienced the most substantial reductions, at 63% and 75%, respectively. Mortality significantly correlated with the indexes in nearly all regions (p<0.05).

Conclusion: Our study highlights the correlation between social determinants of health and GICM mortality in Brazil, using two novel indexes in the pediatric population. These findings provide an opportunity to rethink and discuss new indicators that could enhance our understanding of our country and could lead to the development of necessary solutions to tackle existing challenges in Brazil and globally.

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来源期刊
CiteScore
1.40
自引率
12.50%
发文量
38
审稿时长
13 weeks
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