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The ability of Global Appraisal of Individual Needs (GAIN) Scales in Predicting Clinical Psychiatric Diagnoses among Adolescents in Substance Abuse Treatment Geetha Subramaniam1, Patricia Shane2, Michael L. Dennis3, Melissa Ives3, Lora Passetti3 1Johns Hopkins University School of Medicine, Baltimore, MD; 2 Alta Bates Summit Medical Center, Sutter Health, Oakland, CA; 3Chestnut Health Systems, Bloomington, IL Introduction Results Research consistently suggests over 70% of adolescents seeking treatment for a substance use disorder (SUD) present with a co-occurring psychiatric disorder. Yet only 28% of public treatment records identified a co-occurring mental health disorder. This poster explores the validity and contribution of a widely used comprehensive intake assessment in improving identification of co-occurring psychiatric disorders among adolescents entering SUD treatment. 10% 20% 30% 40% 50% Any Internal or External Disorder 6% 9% Any Internalizing Disorder Methods Clinical Diagnoses: All clinical psychiatric diagnoses were made based on DSM-IV by a qualified clinician (e.g. psychiatrist, psychologist) as per usual standard for care at each of the sites. These were made independently of the GAIN (described below). Figure 1. Identification of Disorders by Source (s) 0% 18% Major Depressive Disorder 60% 70% Table 2. Comparison of Clinical Records & GAIN 80% 90% 100% 96% 81% 12% 21% 54% 14% 84% 42% 76% Table 1. Sample Characteristics Overall and by Site Total Characteristic (n=697) Age - Mean (S.D.) 15.9 (1.2) 69% Male - % Race: African American - % 25% GAIN: The Global Appraisal of Individual Needs, a comprehensive biopsychosocial Caucasian - % 69% structured interview, was administered at Single Parent Family - % 47% treatment intake by interviewers certified in it In Juvenile/Criminal Justice System 68% use. The GAIN incorporates mental health 12.2 (2.2) Age of first use - Mean (S.D.) diagnostic scales related to internalizing 83% Weekly or more frequent substance use - % disorders (e.g. depression, anxiety, trauma) and 84% Lifetime Dependence -% externalizing disorders (ADHD, conduct 53% problems) that can be used as symptom counts Any Prior Substance Abuse Treatment - % 84% Entering Residential Treatment - % or to approximate a diagnosis. 75% Lifetime Victimization Sites and Participants: Participants were 60% Prior mental health treatment history - % recruited between 1999 and 2006 as part of 5 31% research projects conducted at three sites: 106 Internalizing: Internal Mental Distress Scale (IMDS)\a 46% Externalizing: Behavior Complexity Scale (BCS)\b from Mountain Manor Treatment Center 38% Both Internalizing and Externalizing (IMDS +BCS) (MMTC), Baltimore, MD: 198 from Chestnut Health Systems (CHS), Bloomington, IL; and \a Percent of 41 past year symptoms related to somatic, 393 from Thunder Road/ Sutter Health, depression, anxiety, and trauma disorders Oakland, CA. Table 1 shows the characteristics \b Percent of 33 past year symptoms related to inattentiveness, of study participants. The bottom three rows are hyperactivity, impulsivity, and conduct disorders mental health symptom counts based on self reports using the GAIN. Statistical Analyses: The sensitivity (i.e., percent of cases correctly identified) of each method was evaluated relative to the combined approach. The ability of the GAIN to use self reported data to identify who is likely to get a diagnosis if they saw a clinician was tested using a simple odds ratio. PTSD/Acute Stress Disorder 3% 29% Other Anxiety Disorder 5% 11% 43% 27% Any Externalizing Disorder 5% 31% ADHD Related 8% 57% 43% Conduct Disorder Related 6% 21% 37% Both Internal & External Dis. 0% 4% 37% 37% 10% 20% Clinical Records Only 73% 42% 14% 30% 93% 40% 85% 10% 61% 50% 60% GAIN Only 70% Sensitivity \a Clinical Records GAIN 90% 94% Any Internal or External Disorder 86% 78% Any Internalizing Disorder 82% 72% Major Depressive Disorder 32% 93% PTSD/Acute Stress Disorder 26% 86% Other Anxiety Disorder 67% 95% Any Externalizing Disorder ADHD Related Conduct Disorder Related Both Internal and External Disorder 40% 56% 77% 89% 93% 44% Odds Ratio\b OR (95% CI) 4.9 (4.4 - 5.5) 3.9 3.5 6.4 1.9 (3.5 - 4.2) (3.1 - 3.8) (5.9 - 6.9) (1.4 - 2.4) 2.7 1.6 2.8 0.8 (2.3 - 3.2) (1.3 – 2.0) (2.4 - 3.2) (0.4 – 1.3) \a Sensitivity is the percent of "diagnoses" identified by each method relative to those identified by either method. \b Odds Ratio of the extent to which the GAIN predicts increased likelihood of a clinical diagnosis and 95% confidence interval (CI) 80% 90% 100% Both Figure 1 shows that having any co-occurring psychiatric diagnoses was recorded in 96% of 697 cases, including 6% only in the clinical record, 9% only in the GAIN and 81% where they agreed. As illustrated above, “which” diagnosis each found was more likely to vary. About 2/3rds of the time both clinicians and the GAIN both identified patients with “any” internalizing (54/84) or “any” externalizing disorder (57/93). With respect to specific diagnoses, the clinicians diagnosed a depressive disorder more often while the GAIN identified a greater number of the other specific diagnoses. In Table 2, the first set of columns compares the sensitivity of each method for detecting cases identified by the clinical expert or self report on the GAIN. The clinicians were more likely to identify any internalizing disorder and a depressive disorder. Self reports from the GAIN were more likely to identify stress, anxiety and externalizing disorders. The second set of columns examines the utility for using the GAIN as a diagnostic screener to predict who is likely to get each diagnosis by a clinician. All are significant at p<.05 and have large positive odds ratio. Conclusions . Consistent with earlier research, these data found a high rate of cooccurring Axis-I psychiatric disorders. While there was substantial overall agreement, there were also many differences - particularly at more detailed levels of diagnosis. This suggests the value of considering both clinical diagnosis and self reports from a standardized measure rather than just relying on one or the other. The results also demonstrate that that the GAIN was moderately useful as a tool to identify those who are most likely to benefit from a clinical psychiatric evaluation. The mental health section of the GAIN can play a vital role, supplemented by other informants, in the identification of co-occurring psychiatric disorders. Grant Support This work was supported by CSAT grant s: TI 11424 (M.Fishman), TI013356 (S.Godley), TI-11432 (P.Shane), TI013313 (T. Gerstel); NIAAA grant AA010368 (M.Godley), NIDA Grant DA 018183 (S.Godley) and CSAT Contract 270-2003-00006 (M.Dennis).