Key result
Adding sociodemographic factors to neonatal congenital heart surgery models improves survival risk prediction.
Why the study?
Sociodemographic factors such as race, ethnicity, gender, and socioeconomic status have not traditionally been included in risk models for survival after neonatal congenital heart surgery despite their potential impact on outcomes.
Sociodemographic factors significantly impact survival after neonatal heart surgery and should be incorporated into risk prediction models.
Sociodemographic factors warrant inclusion in neonatal CHD surgery outcome models; leaves open whether access interventions can reduce mortality disparities.
Health disparities are "differences in the quality of health and health care across different populations." Potential disparities associated with race, ethnicity, gender, and socioeconomic status should be considered when attempting to develop models for survival and neurodevelopmental outcomes in neonates undergoing congenital heart surgery. Each of the aforementioned sociodemographic factors is related to postsurgical mortality because they are frequently linked to measures of access to care in addition to location of care (geographically) and the type of institution (teaching vs. nonteaching) where patients receive care. Traditionally these factors have not been considered in models of surgical treatment outcomes in conditions such as hypoplastic left heart syndrome. However, we believe these factors should at least be included in risk analysis models to help explain their impact on outcomes and in predicting outcomes. Therefore, the purpose of this article is to highlight some of the nonsurgical influences that affect survival after neonatal heart surgery such as race, ethnicity, gender, and socioeconomic status.
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Sistino et al. (2011) conducted a review in neonates undergoing congenital heart surgery. Sociodemographic factors (race, ethnicity, gender, socioeconomic status) was evaluated on survival and neurodevelopmental outcomes. Sociodemographic factors such as race, ethnicity, gender, and socioeconomic status should be included in risk analysis models to better predict survival after neonatal congenital heart surgery.
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