» Articles » PMID: 21117001

Estimation of Cutoff for the Severity of Dependence Scale (SDS) for Opiate Dependence by ROC Analysis

Overview
Specialty Psychiatry
Date 2010 Dec 1
PMID 21117001
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The Severity of Dependence Scale (SDS) is a five-item scale that has been reported to be a reliable and valid screening instrument for dependence in several types of substances. Optimal cutoff points on the SDS indicative of clinically significant dependence have been determined for a large range of substance types, however, to date no data have been reported on its performance in a population with opiate dependence.

Sample: A structured interview was administered to 315 opiate-dependent patients in treatment.

Method: The diagnostic performance of the SDS was measured via Receiver Operating Characteristic (ROC) analysis according to the DSM-IV diagnosis of heroin dependence, as measured by section 12 of the Schedule for Clinical Assessment in Neuropsychiatry (SCAN).

Results: ROC analysis revealed the SDS to be a test of high diagnostic utility for the measurement of opiate dependence (Area Under Curve =0.8875). The cut-off point on the SDS at which there is optimal discrimination between the presence and absence of a diagnosis of heroin dependence was found to be 5 (i.e. a score of 5 or more). This score provides the best trade-off between sensitivity (83.15%) and specificity (84.51%). Similar results were found for heroin current consumption (AUC = 0.8325; cut-off = 5; sensitivity = 77.94 and specificity = 77.33).

Conclusion: The SDS can be recommended as an effective short instrument for the discrimination of the degree of dependency and heroin consumption in the clinical area.

Citing Articles

The relationship between felt stigma and non-fatal overdose among rural people who use drugs.

Sibley A, Klein E, Cooper H, Livingston 3rd M, Baker R, Walters S Harm Reduct J. 2024; 21(1):77.

PMID: 38582851 PMC: 10998326. DOI: 10.1186/s12954-024-00988-x.


Willingness to utilize a mobile treatment unit in five counties at the epicenter of the US rural opioid epidemic.

Peddireddy S, Livingston 3rd M, Young A, Freeman P, Ibragimov U, Komro K J Subst Use Addict Treat. 2023; 159:209262.

PMID: 38103835 PMC: 10947911. DOI: 10.1016/j.josat.2023.209262.


Perceived discrimination and problematic opioid use among Black individuals with chronic musculoskeletal pain.

Doorley J, Hooker J, Briskin E, Bakhshaie J, Vranceanu A Psychol Addict Behav. 2023; 38(4):397-404.

PMID: 38059948 PMC: 11116081. DOI: 10.1037/adb0000975.


Determining the optimal cut-off scores for the Chinese version of the Memorial Anxiety Scale for Prostate Cancer (MAX-PC).

Huang Q, Jiang P, Ding Y, Zheng Y, Zheng L, Luo J Health Qual Life Outcomes. 2023; 21(1):129.

PMID: 38041120 PMC: 10693149. DOI: 10.1186/s12955-023-02210-1.


"I'm Not the Same Person Anymore": Thematic Analysis Exploring Experiences of Dependence to Prescribed Analgesics in Patients with Chronic Pain in the UK.

Norton L, Dibb B Pain Ther. 2023; 12(6):1427-1438.

PMID: 37751058 PMC: 10616007. DOI: 10.1007/s40122-023-00553-7.