Gerk Ayla, Rosendo Amanda, Telles Luiza, Miranda Arícia Gomes, Carroll Madeleine, Trindade Bruna Oliveira, Motter Sarah Bueno, Freire Esther, Hyman Gabriella, Ferreira Julia, Botelho Fabio, Ferreira Roseanne, Mooney David P, Bustorff-Silva Joaquim
Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.
Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
World J Pediatr Surg. 2024 May 21;7(2):e000759. doi: 10.1136/wjps-2023-000759. eCollection 2024.
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.
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.
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 (<0.05).
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.
在巴西,约5%的人出生时患有先天性疾病,若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。
利用国家数据库收集2012年至2019年间GICM入院病例(Q39 - Q45)。还考虑了患者人口统计学、社会经济因素、临床管理、结局以及医疗劳动力密度。从国家数据集中提取一个地区的儿科外科劳动力密度和新生儿重症监护病房数量,并将其合并以创建一个名为“NeoSur”的临床指数。将社会经济变量合并以创建一个名为“SocEcon”的社会经济指数。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巴西死亡率与不同指标之间的相关性。
在8年期间,巴西记录了12804例GICM入院病例。东南部以6147例居首,其次是东北部(2660例)、南部(1727例)、北部(1427例)和中西部(843例)。北部和东北部报告的死亡率最高,NeoSur和SocEcon指数率最低。然而,各地区的死亡率从2012年的7.7%降至2019年的3.9%,下降了51.7%。北部和中西部下降幅度最大,分别为63%和75%。几乎在所有地区,死亡率与指数均显著相关(<0.05)。
我们的研究利用儿科人群中的两个新指数,突出了巴西健康的社会决定因素与GICM死亡率之间的相关性。这些发现为重新思考和讨论新指标提供了契机,可以增进我们对本国的了解,并可能促成必要解决方案的制定,以应对巴西乃至全球现存的挑战。