The Texas children's medication algorithm project: Report of the Texas consensus conference panel on medication treatment of childhood major depressive disorder
Cw. Hughes et al., The Texas children's medication algorithm project: Report of the Texas consensus conference panel on medication treatment of childhood major depressive disorder, J AM A CHIL, 38(11), 1999, pp. 1442-1454
Citations number
60
Categorie Soggetti
Psychiatry
Journal title
JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY
Objectives: To develop consensus guidelines for medication treatment algori
thms for childhood major depressive disorder (MDD) based on scientific evid
ence and clinical opinion when science is lacking. The ultimate goal of thi
s approach is to synthesize research and clinical experience for the practi
tioner and to increase the uniformity of preferred treatment for childhood
MDD. A final goal is to develop an approach that can be tested as to whethe
r it improves clinical outcomes for children and adolescents with MDD. Meth
od: A consensus conference was held. Participants included academic clinici
ans and researchers, practicing clinicians, administrators, consumers, and
families. The focus was to review and use clinical evidence to recommend sp
ecific pharmacological approaches for treatment of MDD in children and adol
escents. After a series of presentations of current research evidence and p
anel discussion, the consensus panel met, agreed on assumptions, and drafte
d the algorithms. The process initially addressed strategies of treatment a
nd then tactics to implement the strategies. Results: Consensually agreed-u
pon algorithms for major depressions (with and without psychosis) and comor
bid attention deficit disorders were developed. Treatment strategies emphas
ized the use of selective serotonin reuptake inhibitors. The algorithm cons
ists of systematic strategies for treatment interventions and recommended t
actics for implementation of the strategies, including medication augmentat
ion and medication combinations. Participants recommended prospective evalu
ation of the algorithms in various public sector settings, and many volunte
ered as sites for such an evaluation. Conclusions: Using scientific and cli
nical experience, consensus-derived algorithms for children and adolescents
with MDD can be developed.