| Literature DB >> 29450781 |
Shira Maguen1,2,3, Erin Madden4, Olga V Patterson5,6, Scott L DuVall5,6, Lizabeth A Goldstein4,7, Kristine Burkman4,7, Brian Shiner8,9,10.
Abstract
To derive a method of identifying use of evidence-based psychotherapy (EBP) for post-traumatic stress disorder (PTSD), we used clinical note text from national Veterans Health Administration (VHA) medical records. Using natural language processing, we developed machine-learning algorithms to classify note text on a large scale in an observational study of Iraq and Afghanistan veterans with PTSD and one post-deployment psychotherapy visit by 8/5/15 (N = 255,968). PTSD visits were linked to 8.1 million psychotherapy notes. Annotators labeled 3467 randomly-selected psychotherapy notes (kappa = 0.88) to indicate receipt of EBP. We met our performance targets of overall classification accuracy (0.92); 20.2% of veterans received ≥ one session of EBP over the study period. Our method can assist with identifying EBP use and studying EBP-associated outcomes in routine clinical practice.Entities:
Keywords: Evidence-based medicine; Health services utilization; Natural language processing; Posttraumatic stress disorder; Psychotherapy
Mesh:
Year: 2018 PMID: 29450781 DOI: 10.1007/s10488-018-0850-5
Source DB: PubMed Journal: Adm Policy Ment Health ISSN: 0894-587X