OBJECTIVE: While major depression is common, many depressed persons receive, at best, inadequate treatment. A first step in remedying inadequate detection and treatment of major depression requires understanding the pathways into treatment-from situations of no care, to disease recognition, to referral and appropriate treatment-as well as identifying factors associated with movement between these several stages. METHODS: Using the Epidemiologic Catchment Area sample, we identified factors associated with treatment in the general medical or mental health specialist section, or no treatment in a subsample of individuals with current major depression. RESULTS: Strikingly, one-fourth of the sample received no services, over half received care in the general medical sector, and only one-fifth accessed a mental health specialist. Among those receiving any health services (general or mental), men and respondents reporting suicidal symptoms were at risk of receiving no care, while perceived poor health and a cluster of core depressive symptoms were associated with increased odds of service use (general or mental). Among respondents receiving general medical services, perceived poor health, core depressive symptoms, a history of depression, and comorbid mental conditions increased the odds of treatment in the specialty mental health sector. CONCLUSIONS: The findings emphasize the need for public health initiatives to 1) improve detection and movement into treatment among those at risk of receiving no care; and 2) insure that, once within the health care system, the processes of primary care treatment and specialty referrals conform to evidence-based treatment guidelines.
OBJECTIVE: While major depression is common, many depressed persons receive, at best, inadequate treatment. A first step in remedying inadequate detection and treatment of major depression requires understanding the pathways into treatment-from situations of no care, to disease recognition, to referral and appropriate treatment-as well as identifying factors associated with movement between these several stages. METHODS: Using the Epidemiologic Catchment Area sample, we identified factors associated with treatment in the general medical or mental health specialist section, or no treatment in a subsample of individuals with current major depression. RESULTS: Strikingly, one-fourth of the sample received no services, over half received care in the general medical sector, and only one-fifth accessed a mental health specialist. Among those receiving any health services (general or mental), men and respondents reporting suicidal symptoms were at risk of receiving no care, while perceived poor health and a cluster of core depressive symptoms were associated with increased odds of service use (general or mental). Among respondents receiving general medical services, perceived poor health, core depressive symptoms, a history of depression, and comorbid mental conditions increased the odds of treatment in the specialty mental health sector. CONCLUSIONS: The findings emphasize the need for public health initiatives to 1) improve detection and movement into treatment among those at risk of receiving no care; and 2) insure that, once within the health care system, the processes of primary care treatment and specialty referrals conform to evidence-based treatment guidelines.
Authors: Olivio J Clay; David L Roth; Monika M Safford; Patricia L Sawyer; Richard M Allman Journal: J Gerontol A Biol Sci Med Sci Date: 2011-05-12 Impact factor: 6.053
Authors: Kathleen Ell; Betsy Vourlekis; Jan Nissly; Deborah Padgett; Diana Pineda; Olga Sarabia; Virginia Walther; Susan Blumenfield; Pey-jiuan Lee Journal: Community Ment Health J Date: 2002-08
Authors: Jeanne Miranda; Michael K Ong; Loretta Jones; Bowen Chung; Elizabeth L Dixon; Lingqi Tang; Jim Gilmore; Cathy Sherbourne; Victoria K Ngo; Susan Stockdale; Esmeralda Ramos; Thomas R Belin; Kenneth B Wells Journal: J Gen Intern Med Date: 2013-05-14 Impact factor: 5.128
Authors: Alan M Rathbun; Michelle Shardell; Denise Orwig; Ann L Gruber-Baldini; Glenn Ostir; Gregory E Hicks; Ram R Miller; Marc C Hochberg; Jay Magaziner Journal: J Am Geriatr Soc Date: 2016-09-27 Impact factor: 5.562