No-Show for Treatment in Substance Abuse Patients with Comorbid Symptomatology: Validity Results from a Controlled Trial of the ASAM Patient Placement Criteria.

J Addict Med

From the Addiction Research Program, Department of Psychiatry (GAA, SP, SL, ES, DRG), Massachusetts General, Hospital/Harvard Medical School, West End House Clinic, Boston, MA; Department of Psychiatry (GAA), Yale University School of Medicine, New Haven, CT; Institute for Behavioral Health (SR), Heller School, Brandeis University, Waltham, MA; Department of Psychiatry (SP), University of Liège, Liège, Belgium; Alkermes, Inc. (DRG), Cambridge, MA.

Published: June 2007

Purpose: : Mismatched placement, according to the American Society of Addiction Medicine's (ASAM) Patient Placement Criteria (PPC), promotes no-shows to treatment; however, little is known about the impact on patients with psychiatrically comorbid substance use disorder.

Methods: : In a multisite trial, public-sector treatment-seeking adults (N = 700), following a computer-assisted ASAM PPC-1 structured interview, were blindly scored and randomly assigned to Level-of-Care (LOC)-II (intensive outpatient) or LOC-III (residential) settings. Patients scored as needing LOC-II but assigned to LOC-III were, by definition, "overmatched."

Results: : Among 143 overmatched patients, no-shows were significantly higher in comorbids versus noncomorbids (54% versus 28%; P < 0.01). Among overmatched comorbids, patients who no-showed compared with patients who showed were more likely to be females (70.4% versus 34.8%; P < 0.05), to have anxiety (63% versus 17.4%; P < 0.01), or have supportive family/social environments (81.5% versus 34.8%; P < 0.01).

Conclusions: : The data support the validity of the PPC for matching comorbid patients. Mismatching increases no-show rates in general with undermatching, but it does so in particular with overmatching in patients with comorbid psychiatric symptomatology. Comorbidity interacts with gender, overmatched status, presence of anxiety, and supportive environment as predictors of treatment no-shows (odds ratios = 2.69, P < 0.05; 3.27, P < 0.05; 5.32, P < 0.001; and 3.12, P < 0.05, respectively).

Download full-text PDF

Source
http://dx.doi.org/10.1097/ADM.0b013e3180634c1dDOI Listing

Publication Analysis

Top Keywords

patients
8
patients comorbid
8
asam patient
8
patient placement
8
placement criteria
8
versus 348%
8
versus
5
no-show treatment
4
treatment substance
4
substance abuse
4

Similar Publications

Objective: Central sensitization (CS) is associated with quality of life (QOL) after total knee arthroplasty (TKA). However, how CS changes after TKA and whether these changes have clinical relevance remain unclear. Therefore, this study was conducted to identify changes in CS after TKA and to assess the clinical significance of these changes.

View Article and Find Full Text PDF

Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.

View Article and Find Full Text PDF

Background: The detection rate of oncogenic human papillomaviruses (HPVs) in sinonasal squamous cell carcinomas (SNSCCs) varies among studies. The mutational landscape of SNSCCs remains poorly investigated.

Methods: We investigated the prevalence and prognostic significance of HPV infections based on p16 protein expression, HPV-DNA detection, and E6/E7 mRNA expression using immunohistochemistry, polymerase chain reaction, and in situ hybridization, respectively.

View Article and Find Full Text PDF

Surgical site infections (SSIs) are the most common complication after surgery for ankle fractures. This retrospective study aimed to determine the pathogens cultured in SSI and their antimicrobial susceptibility patterns to provide a recommendation for empirical therapy. Patients who underwent surgical treatment for an ankle fracture were included.

View Article and Find Full Text PDF

Background: Major mutations (e.g., KRAS, GNAS, TP53, SMAD4) in pancreatic cyst fluid (PCF) are useful for classifying and risk stratifying certain cyst types, particularly in cases with nondiagnostic cytology.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!