71 research outputs found
Veterans Health Administration Mental Health Program Evaluation Capstone Report
The research described in this report was sponsored by the U.S. Department of Veterans Affairs and was conducted by Altarum and RAND Health, a division of the RAND Corporation.The RAND/Altarum team conducted this study between August 2006 and November 2010.The evaluation represents the most comprehensive evaluation of a mental health care system ever undertaken. The evaluation focused on the quality of care delivered to veterans with one or more of five mental health or substance abuse diagnoses: (1) schizophrenia; (2) bipolar disorder; (3) posttraumatic stress disorder (PTSD); (4) major depressive disorder; (5) substance use disorder.The evaluation's results should be of interest to policymakers in the areas of national defense and veterans' affairs, to mental health professionals, and to veterans and other audiences interested in veterans' health issues
Response to the Letter to the Editor, “Depression not related to lower religious involvement in bipolar disorders?”
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79118/1/j.1399-5618.2010.00842.x.pd
Organizational factors and depression management in community-based primary care settings
Abstract Background Evidence-based quality improvement models for depression have not been fully implemented in routine primary care settings. To date, few studies have examined the organizational factors associated with depression management in real-world primary care practice. To successfully implement quality improvement models for depression, there must be a better understanding of the relevant organizational structure and processes of the primary care setting. The objective of this study is to describe these organizational features of routine primary care practice, and the organization of depression care, using survey questions derived from an evidence-based framework. Methods We used this framework to implement a survey of 27 practices comprised of 49 unique offices within a large primary care practice network in western Pennsylvania. Survey questions addressed practice structure (e.g., human resources, leadership, information technology (IT) infrastructure, and external incentives) and process features (e.g., staff performance, degree of integrated depression care, and IT performance). Results The results of our survey demonstrated substantial variation across the practice network of organizational factors pertinent to implementation of evidence-based depression management. Notably, quality improvement capability and IT infrastructure were widespread, but specific application to depression care differed between practices, as did coordination and communication tasks surrounding depression treatment. Conclusions The primary care practices in the network that we surveyed are at differing stages in their organization and implementation of evidence-based depression management. Practical surveys such as this may serve to better direct implementation of these quality improvement strategies for depression by improving understanding of the organizational barriers and facilitators that exist within both practices and practice networks. In addition, survey information can inform efforts of individual primary care practices in customizing intervention strategies to improve depression management.http://deepblue.lib.umich.edu/bitstream/2027.42/78269/1/1748-5908-4-84.xmlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78269/2/1748-5908-4-84-S1.PDFhttp://deepblue.lib.umich.edu/bitstream/2027.42/78269/3/1748-5908-4-84.pdfPeer Reviewe
ICD-11 for quality and safety: overview of the who quality and safety topic advisory group
This paper outlines the approach that the WHO's Family of International Classifications (WHO-FIC) network is undertaking to create ICD-11. We also outline the more focused work of the Quality and Safety Topic Advisory Group, whose activities include the following: (i) cataloguing existing ICD-9 and ICD-10 quality and safety indicators; (ii) reviewing ICD morbidity coding rules for main condition, diagnosis timing, numbers of diagnosis fields and diagnosis clustering; (iii) substantial restructuring of the health-care related injury concepts coded in the ICD-10 chapters 19/20, (iv) mapping of ICD-11 quality and safety concepts to the information model of the WHO's International Classification for Patient Safety and the AHRQ Common Formats; (v) the review of vertical chapter content in all chapters of the ICD-11 beta version and (vi) downstream field testing of ICD-11 prior to its official 2015 release. The transition from ICD-10 to ICD-11 promises to produce an enhanced classification that will have better potential to capture important concepts relevant to measuring health system safety and quality—an important use case for the classificatio
Diagnostic and statistical manual of mental disorder, ed. 4/ Frances
xxv, 873 hal.: ill.; 28 cm
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