The New Hampshire Hospital Screening and Referral Algorithm (NHHSRA) for Substance Use in People With Serious Mental Illness

• Published in: Primary care companion for CNS disorders Vol. 25; no. 3
• Main Authors: Stanciu, Corneliu N, Healey, Christopher J, Emeny, Rebecca T, Aschbrenner, Kelly, Fetter, Jeffrey C, Friedman, Matthew J
• Format: Journal Article
• Language: English
• Published: United States 18-05-2023
• Subjects: Adult; Hospitals; Humans; Likelihood Functions; Mental Disorders - complications; Mental Disorders - diagnosis; Mental Disorders - epidemiology; New Hampshire; Referral and Consultation; Substance-Related Disorders - diagnosis; Substance-Related Disorders - epidemiology; Substance-Related Disorders - therapy; New Hampshire
• ISSN: 2155-7780
• DOI: 10.4088/PCC.22m03410

Substance use is a common co-occurrence among psychiatrically hospitalized adults, yet it is especially difficult to identify in those with serious mental illness. Existing screening instruments are not feasible for individuals with serious mental illness, as they rely heavily on subjective self-report. This study aimed to develop and validate an objective substance use screening instrument for use in seriously mentally ill patient populations.
Objective elements were extracted from existing substance use screening instruments and used to develop a new, data-driven referral tool, the New Hampshire Hospital screening and referral algorithm (NHHSRA). Descriptive statistics were employed to compare NHHSRA summed score and individual patient data elements in a convenience sample of patients who were referred to the Addiction Services by expert addiction psychiatrist evaluation to those who were not referred. Pearson correlation coefficients and logistic regression models assessed the association between patient referral and the overall NHHSRA score and individual items. The NHHSRA was then piloted in a smaller convenience sample of patients against the standard clinical-based identification for substance use treatment needs.
The instrument consists of 5 objective items. These were tested in a sample of 302 sequentially admitted adults with serious mental illness. Three of the items were significantly associated with likelihood of benefitting from referral for substance use interventions (maximum likelihood estimate and standard deviation [SD] for positive non-tetrahydrocannabinol [non-THC] toxicology screen or > 0% blood alcohol level = 3.61 [0.6]; diagnosis of a substance use disorder = 4.89 [0.73]; and medication-assisted treatment or relapse prevention = 2.78 [0.67]), and these were prioritized in building a decision tree algorithm. The area under the receiver operating characteristic (ROC) curve for the NHHSRA was 0.96, indicating that the NHHSRA has high overall sensitivity and the algorithm was capable of distinguishing between patients needing substance use intervention versus those who do not with 96% accuracy. In the pilot implementation study of another 20 patient admissions, the NHHSRA accurately identified 100% (n = 6) of patients deemed to benefit from substance use interventions by expert addiction psychiatric evaluation. The standard clinical-based referral process identified only 33% (n = 2) and erroneously identified another 4 for referral to substance use intervention that would not have been warranted.
The NHHSRA holds promise in its ability to improve objective and timely identification of substance use in a seriously mentally ill inpatient population, helping to facilitate treatment.