Identifying Co-occurring Disorders Among Patients With an Opioid involved Hospital Encounter Using National Hospital Care Survey Data

Details

• Personal Author:
  Brown, Amy, M. ; White, Donielle, G. ; Adams, Nikki, B. ; O’Jiaku-Okorie, Adaeze ; Badwe, Rihem ; Shaikh, Salah ; Adegboye, Adewumi
• Corporate Authors:
  National Center for Health Statistics (U.S.)
• Description:
  Public health report presenting the development of the 2016 National Hospital Care Survey Co-occurring Disorders Algorithm, which can be used to identify patients with an opioid-involved hospital encounter who had lifetime diagnoses of both a substance use disorder and a selected mental health issue.
• Subjects:
  Data Collection Statistical Models Vital Statistics
• Keywords:
  opioids, co-occurring disorders, hospitals, natural language processing, National Hospital Care Survey
• Source:
  National Hospital Care Survey
• Series:
  NCHS Vital and Health Statistics Series
• Document Type:
  Text
• Genre:
  Report ; Statistics
• Place as Subject:
  United States
• Pages in Document:
  21 Pages
• Volume:
  2
• Issue:
  193
• Collection(s):
  National Center for Health Statistics
• Main Document Checksum:
  urn:sha-512:a2fe344200ad0d6b4d7ee55983542b1e326462f24214445892858aae0aee2dc79183aaa76051aa0508c0fef92acab8ed4ec6dfca6d7ace0eb0ec85321c0877d2
• Download URL:
  https://stacks.cdc.gov/view/cdc/119155/cdc_119155_DS1.pdf
• File Type:
  [PDF - 1.01 MB ]