Secondary Evaluations of MTA 36-Month Outcomes: Propensity Score and Growth Mixture Model Analyses

Autor/inn/en	Swanson, James M.; Hinshaw, Stephen P.; Arnold, L. Eugene; Gibbons, Robert D.; Marcus, Sue; Hur, Kwan; Jensen, Peter S.; Vitiello, Benedetto; Abikoff, Howard B.: Greenhill, Laurence L.; Hechtman, Lily; Pelham, William E.; Wells, Karen C.; Conners, C. Keith; March, John S.; Elliott, Glen R.; Epstein, Jeffery N.; Hoagwood, Kimberly; Hoza, Betsy; Molina, Brooke S. G.; Newcorn, Jeffrey H.; Severe, Joanne B.; Wigal, Timothy
Titel	Secondary Evaluations of MTA 36-Month Outcomes: Propensity Score and Growth Mixture Model Analyses
Quelle	In: Journal of the American Academy of Child & Adolescent Psychiatry, 46 (2007) 8, S.1003-1014 (12 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0890-8567
DOI	10.1097/CHI.0b013e3180686d63
Schlagwörter	Attention Deficit Hyperactivity Disorder; Research Methodology; Evaluation Methods; Models; Case Studies; Mathematics; Drug Therapy; Identification; Symptoms (Individual Disorders); Time + Suchen Sie Ihr Suchwort? Research method; Forschungsmethode; Analogiemodell; Case study; Fallstudie; Case Study; Mathematik; Identifikation; Identifizierung; Psychiatrische Symptomatik; Zeit
Abstract	Objective: To evaluate two hypotheses: that self-selection bias contributed to lack of medication advantage at the 36-month assessment of the Multimodal Treatment Study of Children With ADHD (MTA) and that overall improvement over time obscured treatment effects in subgroups with different outcome trajectories. Method: Propensity score analyses, using baseline characteristics and severity of attention-deficit/hyperactivity disorder symptoms at follow-up, established five subgroups (quintiles) based on tendency to take medication at the 36-month assessment. Growth mixture model (GMM) analyses were performed to identify subgroups (classes) with different patterns of outcome over time. Results: All five propensity subgroups showed initial advantage of medication that disappeared by the 36-month assessment. GMM analyses identified heterogeneity of trajectories over time and three classes: class 1 (34% of the MTA sample) with initial small improvement followed by gradual improvement that produced significant medication effects; class 2 (52%) with initial large improvement maintained for 3 years and overrepresentation of cases treated with the MTA Medication Algorithm; and class 3 (14%) with initial large improvement followed by deterioration. Conclusions: We failed to confirm the self-selection hypothesis. We found suggestive evidence of residual but not current benefits of assigned medication in class 2 and small current benefits of actual treatment with medication in class 1. (Contains 3 tables and 3 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10