Literature DB >> 19264935

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

Chizobam Ani1, Mohsen Bazargan, David Hindman, Douglas Bell, Michael Rodriguez, Richard S Baker.   

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.

Entities:  

Mesh:

Year:  2009        PMID: 19264935      PMCID: PMC3782997          DOI: 10.3122/jabfm.2009.02.080035

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  70 in total

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