Does Insurance Effect the Outcome in Patients With Acute Coronary Syndrome?: An Insight from the Most Recent National Inpatient Sample

Curr Probl Cardiol. 2021 Jan;46(1):100411. doi: 10.1016/j.cpcardiol.2019.02.003. Epub 2019 Feb 28.

Abstract

Several studies have shown disparities in outcome in the patients with Acute coronary syndrome (ACS) based on several factors. Treatment might differ based on insurance type. Therefore, we retrospectively analyzed National Inpatient Sample (NIS 2016) data to identify the impact of different types of insurances on mortality outcome in patients admitted with ACS. ICD-CM-10 codes were used to identify hospital discharges with a principal diagnosis of ACS. Observations were stratified based on insurance (Medicare, Medicaid, Private, and No insurance). Primary and secondary outcomes were in-hospital mortality, length of stay and total cost. Any potential confounders were adjusted using multivariate logistic regression. STATA/IC 15.1 Stata Corp LLC was used for analysis. A total of 8,01,195 hospitalizations with the primary diagnosis of ACS were identified, of which 59.2% had Medicare, 9.72% had Medicaid, 26.8% had Private insurance, and 4.3% had no insurance. Higher odds of mortality were seen in the patients with Medicare, Medicaid, and Noninsured group. Adjusted Odds ratio for mortality in Medicare was 1.01 (confidence interval [CI]: 0.94-1.1; P = 0.65), in Medicaid was 1.16 (CI: 1.03-1.30; P = 0.01) and in uninsured group was 1.46 (CI: 1.26-1.69; P ≤ 0.01). However, the patients with private insurance adjusted odds ratio for mortality were 0.77 (CI: 0.70-0.84; P ≤ 0.01) compared to the patients with other insurance groups. Above results show that the disparity exists in the outcome of patients admitted with ACS based on their insurance types, particularly for Medicaid patients. We need further studies to understand the root cause of this disparity.

Publication types

  • Review

MeSH terms

  • Acute Coronary Syndrome* / therapy
  • Aged
  • Humans
  • Inpatients
  • Insurance, Health
  • Medicare
  • Retrospective Studies
  • Risk Factors
  • United States / epidemiology