Comorbid chronic illness and the diagnosis and treatment of depression in safety net primary care settings

J Am Board Fam Med. 2009 Mar-Apr;22(2):123-35. doi: 10.3122/jabfm.2009.02.080035.

Abstract

Objective: To estimate the impact of chronic medical conditions on depression diagnosis, treatment, and follow-up care in primary care settings.

Design: This was a cross-sectional study that used interviewer-administered surveys and medical record reviews. Three hundred fifteen participants were recruited from 3 public primary care clinics. Depression diagnosis, guideline-concordant treatment, and follow-up care were the primary outcomes examined in individuals with depression alone compared with individuals with depression and chronic medical conditions measured using the Charlson Comorbidity Index (CCI).

Results: Physician diagnosis of depression (32.6%), guideline-concordant depression treatment (32.7%), and guideline-concordant follow-up care (16.3%) were all low. Logistic regression analysis showed no significant difference in the likelihood of depression diagnosis, guideline-concordant treatment, or follow-up care in individuals with depression alone compared with those with both depression and chronic medical conditions. Participants with severe depression were, however, twice as likely to receive a diagnosis of depression as participants with moderate depression. In addition, participants with moderately severe and severe depression received much less appropriate follow-up care than participants with moderate depression. Among participants receiving a depression diagnosis, 74% received guideline-concordant treatment.

Conclusion: Physician depression care in primary care settings is not influenced by competing demands for care for other comorbid medical conditions.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adolescent
  • Adult
  • Chronic Disease*
  • Comorbidity*
  • Cross-Sectional Studies
  • Depression / diagnosis*
  • Depression / therapy*
  • Female
  • Health Care Surveys
  • Humans
  • Logistic Models
  • Male
  • Medical Audit
  • Medically Uninsured
  • Middle Aged
  • Primary Health Care*
  • United States
  • Urban Population
  • Young Adult