Community-Partnered Cluster-Randomized Comparative Effectiveness Trial of Community Engagement and Planning or Resources for Services to Address Depression Disparities.

Community-Partnered Cluster-Randomized Comparative Effectiveness Trial of Community Engagement and Planning or Resources for Services to Address Depression Disparities.

J Gen Intern Med. 2013 May 7;
Wells KB, Jones L, Chung B, Dixon EL, Tang L, Gilmore J, Sherbourne C, Ngo VK, Ong MK, Stockdale S, Ramos E, Belin TR, Miranda J

BACKGROUND: Depression contributes to disability and there are ethnic/racial disparities in access and outcomes of care. Quality improvement (QI) programs for depression in primary care improve outcomes relative to usual care, but health, social and other community-based service sectors also support clients in under-resourced communities. Little is known about effects on client outcomes of strategies to implement depression QI across diverse sectors. OBJECTIVE: To compare the effectiveness of Community Engagement and Planning (CEP) and Resources for Services (RS) to implement depression QI on clients’ mental health-related quality of life (HRQL) and services use. DESIGN: Matched programs from health, social and other service sectors were randomized to community engagement and planning (promoting inter-agency collaboration) or resources for services (individual program technical assistance plus outreach) to implement depression QI toolkits in Hollywood-Metro and South Los Angeles. PARTICIPANTS: From 93 randomized programs, 4,440 clients were screened and of 1,322 depressed by the 8-item Patient Health Questionnaire (PHQ-8) and providing contact information, 1,246 enrolled and 1,018 in 90 programs completed baseline or 6-month follow-up. MEASURES: Self-reported mental HRQL and probable depression (primary), physical activity, employment, homelessness risk factors (secondary) and services use. RESULTS: CEP was more effective than RS at improving mental HRQL, increasing physical activity and reducing homelessness risk factors, rate of behavioral health hospitalization and medication visits among specialty care users (i.e. psychiatrists, mental health providers) while increasing depression visits among users of primary care/public health for depression and users of faith-based and park programs (each p??0.05). CONCLUSION: Community engagement to build a collaborative approach to implementing depression QI across diverse programs was more effective than resources for services for individual programs in improving mental HRQL, physical activity and homelessness risk factors, and shifted utilization away from hospitalizations and specialty medication visits toward primary care and other sectors, offering an expanded health-home model to address multiple disparities for depressed safety-net clients. HubMed – depression

 

Primary Care Clinicians’ Recognition and Management of Depression: A Model of Depression Care in Real-World Primary Care Practice.

J Gen Intern Med. 2013 May 7;
Baik SY, Crabtree BF, Gonzales JJ

BACKGROUND: Depression is prevalent in primary care (PC) practices and poses a considerable public health burden in the United States. Despite nearly four decades of efforts to improve depression care quality in PC practices, a gap remains between desired treatment outcomes and the reality of how depression care is delivered. OBJECTIVE: This article presents a real-world PC practice model of depression care, elucidating the processes and their influencing conditions. DESIGN: Grounded theory methodology was used for the data collection and analysis to develop a depression care model. Data were collected from 70 individual interviews (60 to 70 min each), three focus group interviews (n?=?24, 2 h each), two surveys per clinician, and investigators’ field notes on practice environments. Interviews were audiotaped and transcribed for analysis. Surveys and field notes complemented interview data. PARTICIPANTS: Seventy primary care clinicians from 52 PC offices in the Midwest: 28 general internists, 28 family physicians, and 14 nurse practitioners. KEY RESULTS: A depression care model was developed that illustrates how real-world conditions infuse complexity into each step of the depression care process. Depression care in PC settings is mediated through clinicians’ interactions with patients, practice, and the local community. A clinician’s interactional familiarity (“familiarity capital”) was a powerful facilitator for depression care. For the recognition of depression, three previously reported processes and three conditions were confirmed. For the management of depression, 13 processes and 11 conditions were identified. Empowering the patient was a parallel process to the management of depression. CONCLUSIONS: The clinician’s ability to develop and utilize interactional relationships and resources needed to recognize and treat a person with depression is key to depression care in primary care settings. The interactional context of depression care makes empowering the patient central to depression care delivery. HubMed – depression

 

PROSPECTIVE STUDY OF SUBSTANCE-INDUCED AND INDEPENDENT MAJOR DEPRESSIVE DISORDER AMONG INDIVIDUALS WITH SUBSTANCE USE DISORDERS IN A NATIONALLY REPRESENTATIVE SAMPLE.

Depress Anxiety. 2013 May 3;
Magidson JF, Wang S, Lejuez CW, Iza M, Blanco C

BACKGROUND: Depression and substance use disorders (SUDs) commonly co-occur, which presents diagnostic challenges in classifying independent major depressive disorder (MDD) versus substance-induced depressive disorder (SIDD). It remains unclear if distinct characteristics and/or patterns in temporal course distinguish MDD-SUD and SIDD to guide these decisions. Further, evidence suggests that a significant portion of individuals with SIDD are later reclassified as having independent MDD. Continued research to improve our understanding of differences between these two and changes in reclassification over time is necessary for diagnostic clarification and to guide clinical decisions when treating depression in the context of SUDs. METHODS: The current study compared individuals with MDD-SUD versus SIDD at baseline and examined reclassification of DSM-IV Axis I diagnoses over a 3-year follow up in a large, nationally representative epidemiological sample (n = 2,121). RESULTS: Findings demonstrated that SIDD was extremely rare at both time points. At baseline, individuals with SIDD were more likely to be non-White, have less education, less likely to have insurance, less likely to have dysthymia or alcohol abuse, and more likely to have drug dependence compared to those with independent MDD. Of individuals with SIDD at Wave 1 who had a depressive episode between Waves 1 and 2, the overwhelming majority (>95%) had an independent MDD, not SIDD, episode. There were no significant group differences in the incidence of other mood disorders or SUDs at Wave 2. CONCLUSIONS: Findings have important etiological and treatment implications for the classification and treatment of depression in the context of SUDs. HubMed – depression