Factors associated with seeking readmission among clients admitted to medical withdrawal management

Xin Li1, Huiying Sun, David C Marsh

  • 1Department of Healthcare and Epidemiology, University of British Columbia, Vancouver, BC, Canada.

Substance Abuse
|December 2, 2008
PubMed

Insights

Understanding readmission rates is crucial for addiction treatment. Leaving treatment against medical advice increases short-term readmission, while factors like hepatitis C and poly-drug use predict long-term needs.

Area of Science:

  • Addiction Medicine
  • Public Health
  • Clinical Psychology

Background:

  • Inpatient medical withdrawal management programs are vital for substance use disorder treatment.
  • Understanding readmission patterns is essential for improving patient outcomes and resource allocation.
  • Vancouver Detox (VD) provides a critical service for individuals seeking to manage withdrawal symptoms.

Purpose of the Study:

  • To determine the rate of readmission among clients of the Vancouver Detox (VD) program.
  • To identify factors associated with both short-term (1 month) and long-term (2-12 months) readmission requests.
  • To inform treatment strategies and support services for individuals with substance use disorders.

Main Methods:

  • A cohort of clients admitted to Vancouver Detox (VD) between July 1, 2003, and June 30, 2004, were followed for 1 year.
  • Multinomial logistic regression analysis was employed to identify risk factors for readmission.
  • Data collected included client demographics, substance use patterns, and treatment adherence.

Main Results:

  • Leaving the program against medical advice (AMA) during the initial admission was a significant risk factor for short-term readmission.
  • Hepatitis C virus (HCV) infection, primary alcohol use, and poly-drug use were associated with increased likelihood of long-term readmission.
  • Clients without a fixed address were less likely to seek readmission between months 2 and 12.

Conclusions:

  • Client behavior during the index admission (leaving AMA) and specific health/substance use profiles (HCV, alcohol, poly-drug use) are key predictors of readmission.
  • Targeted interventions for clients leaving AMA and those with identified risk factors may reduce readmission rates.
  • Socioeconomic factors, such as housing status, may influence long-term engagement with withdrawal management services.

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