AI Article Synopsis

  • The study investigates the impact of socioeconomic status (SES), measured by median household income (MHI), on inpatient trauma mortality, while accounting for race, insurance status, and comorbidities.
  • It analyzed data from over 267,000 trauma patients aged 18-65 and found that those in lower wealth quartiles faced significantly higher mortality rates, even when adjusted for other variables.
  • The findings highlight that MHI is an independent predictor of trauma outcomes, suggesting that addressing SES disparities is crucial for improving patient care and reducing mortality rates.

Article Abstract

Background: Prior studies have demonstrated that race and insurance status predict inpatient trauma mortality, but have been limited by their inability to adjust for direct measures of socioeconomic status (SES) and comorbidities. Our study aimed to identify whether a relationship exists between SES and inpatient trauma mortality after adjusting for known confounders.

Methods: Trauma patients aged 18-65 years with an Injury Severity Scores (ISS) of ≥9 were identified using the 2003-2009 Nationwide Inpatient Sample. Median household income (MHI) by zip code, available by quartiles, was used to measure SES. Multiple logistic regression analyses were performed to determine odds of inpatient mortality by MHI quartile, adjusting for ISS, type of injury, comorbidities, and patient demographics.

Results: In all, 267,621 patients met inclusion criteria. Patients in lower wealth quartiles had significantly greater unadjusted inpatient mortality compared with the wealthiest quartile. Adjusted odds of death were also higher compared with the wealthiest quartile for Q1 (odds ratio [OR], 1.13; 95% confidence interval [CI], 1.06-1.20), Q2 (OR, 1.09; 95% CI, 1.02-1.17), and Q3 (OR, 1.11; 95% CI, 1.04-1.19).

Conclusion: MHI predicts inpatient mortality after adult trauma, even after adjusting for race, insurance status, and comorbidities. Efforts to mitigate trauma disparities should address SES as an independent predictor of outcomes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3989530PMC
http://dx.doi.org/10.1016/j.surg.2013.05.036DOI Listing

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