Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data

ABSTRACT BACKGROUND The Veterans Health Administration (VA) has invested substantially in evidence-based mental health care. Yet no electronic performance measures for assessing the level at which the population of Veterans with depression receive appropriate care have proven robust enough to suppor...

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Veröffentlicht in:	Journal of general internal medicine : JGIM 2016-04, Vol.31 (Suppl 1), p.36-45
Hauptverfasser:	Farmer, Melissa M., Rubenstein, Lisa V., Sherbourne, Cathy D., Huynh, Alexis, Chu, Karen, Lam, Christine A., Fickel, Jacqueline J., Lee, Martin L., Metzger, Maureen E., Verchinina, Lilia, Post, Edward P., Chaney, Edmund F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cohort Studies Databases, Factual - trends Decision Trees Delphi Technique Depression - diagnosis Depression - epidemiology Depression - therapy Electronic Health Records - standards Electronic Health Records - trends Electronic medical records Follow-Up Studies Health care Health services Humans Internal Medicine Longitudinal Studies Medical electronics Medicine Medicine & Public Health Mental depression Mental disorders Mental health Original Research Population Population Surveillance - methods Quality Quality control Quality of care Quality of Health Care - standards Quality of Health Care - trends United States United States Department of Veterans Affairs - standards United States Department of Veterans Affairs - trends Veterans
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