Multimodal Treatment of ADHD in the MTA: An Alternative Outcome Analysis
To conduct a post hoc investigation of the utility of a single composite measure of treatment outcome for the NIMH Collaborative Multisite Multimodal Treatment Study of Children With Attention-Deficit/Hyperactivity Disorder (MTA) at 14 months postbaseline. Examination of multiple measures one at a t...
Gespeichert in:
Veröffentlicht in: | Journal of the American Academy of Child and Adolescent Psychiatry 2001-02, Vol.40 (2), p.159-167 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | To conduct a post hoc investigation of the utility of a single composite measure of treatment outcome for the NIMH Collaborative Multisite Multimodal Treatment Study of Children With Attention-Deficit/Hyperactivity Disorder (MTA) at 14 months postbaseline.
Examination of multiple measures one at a time in the main MTA intent-to-treat outcome analyses failed to detect a statistically significant advantage of combined treatment (Comb) over medication management (MedMgt). A measure that increases power and precision using a single outcome score may be a useful alternative to multiple outcome measures.
Factor analysis of baseline scores yielded two “source factors” (parent and teacher) and one “instrument factor” (parent–child interactions). A composite score was created from the average of standardized parent and teacher measures.
The composite was internally consistent (α = .83), reliable (test-retest over 3 months = 0.86), and correlated 0.61 with clinician global judgments. In an intent-to-treat analysis, Comb was statistically significantly better than all other treatments, with effect sizes ranging from small (0.28) versus MedMgt, to moderately large (0.70) versus a community comparison group.
A composite of ADHD variables may be an important tool in future treatment trials with ADHD and may avoid some of the statistical limitations of multiple measures. |
---|---|
ISSN: | 0890-8567 1527-5418 |
DOI: | 10.1097/00004583-200102000-00010 |