A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery

Frontiers in Pediatrics

Oguz Akbilgic¹  Arash Shaban-Nejad²  Eun Kyong Shin³ 

[1]Department of Health Informatics and Data Science, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Chicago, IL, United States

[2]Department of Pediatrics, Center for Biomedical Informatics, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States

[3]Department of Sociology, Korea University, Seoul, South Korea

关键词: social determinants of health;    pediatrics;    poverty;    data science;    patient care;    health disparity;   

DOI  :  10.3389/fped.2021.620848

来源: DOAJ

【 摘 要 】

Background: Scientific evidence confirm that significant racial disparities exist in healthcare, including surgery outcomes. However, the causal pathway underlying disparities at preoperative physical condition of children is not well-understood.Objectives: This research aims to uncover the role of socioeconomic and environmental factors in racial disparities at the preoperative physical condition of children through multidimensional integration of several data sources at the patient and population level.Methods: After the data integration process an unsupervised k-means algorithm on neighborhood quality metrics was developed to split 29 zip-codes from Memphis, TN into good and poor-quality neighborhoods.Results: An unadjusted comparison of African Americans and white children showed that the prevalence of poor preoperative condition is significantly higher among African Americans compared to whites. No statistically significant difference in surgery outcome was present when adjusted by surgical severity and neighborhood quality.Conclusions: The socioenvironmental factors affect the preoperative clinical condition of children and their surgical outcomes.

【 授权许可】

Unknown