StayCurrentMD · An investigation of social determinants of health and outcomes in pediatric nonaccidental trauma
Article1 min read·Published Aug 2019Older

An investigation of social determinants of health and outcomes in pediatric nonaccidental trauma

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Article · Aug 2019 · 1 min read

In brief

In brief

This retrospective study of 337 pediatric nonaccidental trauma cases found that uninsured patients had 8 times higher in-hospital mortality than insured patients, even when controlling for injury severity. The findings highlight how socioeconomic factors beyond clinical severity influence outcomes in child abuse cases.

Written by the GCMD Library team from the article.

Abstract

Objectives

Nonaccidental trauma (NAT) is a leading cause of pediatric mortality and disability. We examined our institution’s experience with NAT to determine if socioeconomic status is correlated with patient outcomes.

Methods

NAT cases were reviewed retrospectively. Socioeconomic determinants included insurance status and race; outcomes included mortality, discharge disability and disposition. Correlations were identified using t test, Fisher’s exact test, and logistic regression.

Results

The cohort comprised of 337 patients, with an overall uninsured rate of 5.6%. This rate was achieved by insuring 64.7% of the cohort after admission. Non-survivors were more likely to have no insurance coverage (14.8% versus 4.8%, p = 0.041). Regression revealed that uninsured had 8 times (95% CI 1.7–38.7, p = 0.008) higher in-hospital mortality than those with insurance when controlling for injury severity. Additionally, injury severity score ≥ 15, transfer from outside hospital, need for ICU or operative treatment were predictive of mortality. Adjusted risk factors for severe disability at discharge did not include insurance status or race, while ISS ≥ 15 and ICU stay were predictive.

Conclusions

There are significant associations of insurance status with pediatric NAT outcomes, highlighting that determinants other than disease severity may influence mortality and morbidity. High-risk patients should be identified to develop strategies to improve outcomes.

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