The Role of Socioeconomic Status in Individuals that Leave Against Medical Advice

Sharleen Yuan1, Sarah Ashmore1, Kaushal R Chaudhary2

  • 1University of South Dakota Sanford School of Medicine, Vermillion, South Dakota.

Insights

Individuals lacking insurance or with public insurance face higher risks of leaving against medical advice (AMA). Targeted interventions are needed to reduce AMA discharges and improve patient care.

Area of Science:

  • Health Services Research
  • Health Economics
  • Patient Safety

Background:

  • Leaving against medical advice (AMA) is associated with increased mortality and healthcare costs.
  • Failure to complete treatment due to AMA discharge leads to higher readmission rates and comorbidities.

Purpose of the Study:

  • To identify patient characteristics and socioeconomic factors associated with leaving against medical advice (AMA).
  • To examine the impact of insurance status, income, and ethnicity on AMA discharge rates.

Main Methods:

  • Retrospective analysis of the 2012 Healthcare Cost and Utilization Project (HCUP) National Inpatient Sample (NIS) database.
  • Examined discharge type (AMA vs. non-AMA) against primary payer, patient, and hospital characteristics.
  • Used weighted logistic regression analysis (Proc Surverylogistic) in SAS 9.4, with statistical significance set at p < 0.05.

Main Results:

  • Lack of insurance (ORadj = 4.16), Medicare (ORadj = 2.10), and Medicaid (ORadj = 2.94) significantly increased odds of AMA discharge.
  • Higher income groups showed a 20-30% decrease in AMA discharge compared to lower income groups.
  • Hispanic (ORadj = 0.665) and Asian/Pacific Islander (ORadj = 0.56) groups had decreased odds of AMA discharge, while Black and Native American groups did not show increased risk compared to White individuals.

Conclusions:

  • Individuals lacking insurance, with public insurance, or in the lowest income quartile are at higher risk for AMA discharge.
  • While ethnicity plays a role, the disparities in AMA discharge rates may be less extreme than previously suggested.
  • Healthcare providers need targeted preventative measures to address high-risk populations and improve patient care standards.
Abstract

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