BACKGROUND: Guideline-based depression process measures provide a powerful way to monitor depression care and target areas needing improvement. OBJECTIVES: To assess the adequacy of depression care in the Veterans Health Administration (VHA) using guideline-based process measures derived from administrative and centralized pharmacy records, and to identify patient and provider characteristics associated with adequate depression care. RESEARCH DESIGN: This is a cohort study of patients from 14 VHA hospitals in the Northeastern United States which relied on existing databases. Subject eligibility criteria: at least one depression diagnosis during 1999, neither schizophrenia nor bipolar disease, and at least one antidepressant prescribed in the VHA during the period of depression care profiling (June 1, 1999 through August 31, 1999). Depression care was evaluated with process measures defined from the 1997 VHA depression guidelines: antidepressant dosage and duration adequacy. We used multivariable regression to identify patient and provider characteristics predicting adequate care. SUBJECTS: There were 12,678 patients eligible for depression care profiling. RESULTS: Adequate dosage was identified in 90%; 45% of patients had adequate duration of antidepressants. Significant patient and provider characteristics predicting inadequate depression care were younger age (<65), black race, and treatment exclusively in primary care. CONCLUSIONS: Under-treatment of depression exists in the VHA, despite considerable mental health access and generous pharmacy benefits. Certain patient populations may be at higher risk for inadequate depression care. More work is needed to align current practice with best-practice guidelines and to identify optimal ways of using available data sources to monitor depression care quality.
BACKGROUND: Guideline-based depression process measures provide a powerful way to monitor depression care and target areas needing improvement. OBJECTIVES: To assess the adequacy of depression care in the Veterans Health Administration (VHA) using guideline-based process measures derived from administrative and centralized pharmacy records, and to identify patient and provider characteristics associated with adequate depression care. RESEARCH DESIGN: This is a cohort study of patients from 14 VHA hospitals in the Northeastern United States which relied on existing databases. Subject eligibility criteria: at least one depression diagnosis during 1999, neither schizophrenia nor bipolar disease, and at least one antidepressant prescribed in the VHA during the period of depression care profiling (June 1, 1999 through August 31, 1999). Depression care was evaluated with process measures defined from the 1997 VHA depression guidelines: antidepressant dosage and duration adequacy. We used multivariable regression to identify patient and provider characteristics predicting adequate care. SUBJECTS: There were 12,678 patients eligible for depression care profiling. RESULTS: Adequate dosage was identified in 90%; 45% of patients had adequate duration of antidepressants. Significant patient and provider characteristics predicting inadequate depression care were younger age (<65), black race, and treatment exclusively in primary care. CONCLUSIONS: Under-treatment of depression exists in the VHA, despite considerable mental health access and generous pharmacy benefits. Certain patient populations may be at higher risk for inadequate depression care. More work is needed to align current practice with best-practice guidelines and to identify optimal ways of using available data sources to monitor depression care quality.
Authors: Linda S Williams; Susan Ofner; Zhangsheng Yu; Rebecca J Beyth; Laurie Plue; Teresa Damush Journal: J Gen Intern Med Date: 2011-08 Impact factor: 5.128
Authors: Chizobam Ani; Mohsen Bazargan; David Hindman; Douglas Bell; Michael Rodriguez; Richard S Baker Journal: J Am Board Fam Med Date: 2009 Mar-Apr Impact factor: 2.657
Authors: Gina L Evans-Hudnall; Melinda A Stanley; Allison N Clark; Amber L Bush; Ken Resnicow; Yu Liu; Joseph S Kass; Angelle M Sander Journal: J Behav Med Date: 2012-12-08
Authors: Chuan-Fen Liu; Lisa V Rubenstein; JoAnn E Kirchner; John C Fortney; Mark W Perkins; Scott K Ober; Jeffrey M Pyne; Edmund F Chaney Journal: Health Serv Res Date: 2009-02 Impact factor: 3.402
Authors: Whitney P Witt; Abiola Keller; Carissa Gottlieb; Kristin Litzelman; John Hampton; Jonathan Maguire; Erika W Hagen Journal: J Behav Health Serv Res Date: 2009-10-17 Impact factor: 1.505