ABSTRACT
This report documents the development of the 2016 National Hospital Care Survey (NHCS) 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. Lifetime diagnoses are defined as diagnoses at any point in the past or during the current encounter. This algorithm was created to complement the earlier NHCS Enhanced Opioid Identification Algorithm designed to improve the classification of patients with opioid-involved hospital encounters.
Subject(s)
Analgesics, Opioid , Opioid-Related Disorders , Analgesics, Opioid/therapeutic use , Hospitals , Humans , Opioid-Related Disorders/diagnosis , Prevalence , United States/epidemiologyABSTRACT
This report demonstrates the use of National Hospital Care Survey (NHCS) data to describe characteristics of patients experiencing opioid-involved hospital encounters with co-occurring disorders, defined as lifetime diagnoses of both a substance use disorder (SUD) and a selected mental health issue (MHI), that is, diagnosed at any point in the past or during the present encounter.
Subject(s)
Analgesics, Opioid , Substance-Related Disorders , Analgesics, Opioid/therapeutic use , Hospitals , Humans , Substance-Related Disorders/epidemiology , United States/epidemiologyABSTRACT
Objectives This report documents the development of the 2016 National Hospital Care Survey (NHCS) Enhanced Opioid Identification Algorithm, an algorithm that can be used to identify opioid-involved and opioid overdose hospital encounters. Additionally, the algorithm can be used to identify opioids and opioid antagonists that can be used to reverse opioid overdose (naloxone) and to treat opioid use disorder (naltrexone).
