Racial differences in the treatment of veterans with bipolar disorder

Psychiatr Serv. 2005 Dec;56(12):1549-55. doi: 10.1176/appi.ps.56.12.1549.

Abstract

Objectives: The authors examined whether African Americans, compared with whites, received guideline-concordant care for bipolar I disorder.

Methods: A retrospective analysis was conducted of data for patients who received a diagnosis of bipolar I disorder in fiscal year 2001 and received care in facilities in the Department of Veterans Affairs (VA) mid-Atlantic region. Indicators of guideline-concordant care were based on prescription data and data on utilization of inpatient and outpatient services from VA databases.

Results: A total of 2,316 patients with a diagnosis of bipolar I disorder were identified. Their mean age was 52 years; 9.4 percent (N=218) were women, and 13.1 percent (N=303) were African American. Overall, mood stabilizers were prescribed for 74.6 percent (N=1,728) of the patients; 67.1 percent (N=1,554) had an outpatient mental health visit within 90 days after the index diagnosis, and 54.3 percent (N=1,258) had an outpatient visit within 30 days after discharge from a psychiatric hospitalization. Multivariate logistic regression analyses with adjustment for sociodemographic and facility factors revealed that African Americans were less likely than whites to have an outpatient follow-up visit within 90 days after the index diagnosis. Race was not associated with receipt of mood stabilizers or use of outpatient services after a hospital discharge.

Conclusions: Although a majority of patients received guideline-concordant care for bipolar disorder, potential gaps in continuity of outpatient care may exist for African-American patients.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Bipolar Disorder / therapy*
  • Black or African American / statistics & numerical data*
  • Continuity of Patient Care
  • Female
  • Guideline Adherence
  • Hospitalization
  • Hospitals, Psychiatric* / statistics & numerical data
  • Hospitals, Veterans* / statistics & numerical data
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Minority Groups / statistics & numerical data*
  • Quality of Health Care*
  • Retrospective Studies
  • Veterans*
  • White People / statistics & numerical data*