Selection of clinical strategies to manage heart disease in infants, c
hildren, and adolescents is central to the pediatric cardiologist's jo
b. Decision analysis is a mathematically rigorous approach to understa
nding the outcomes of a medical choice, and so has a role in the appli
cation of outcomes research in pediatric cardiology. Decision analysis
models a clinical decision as the proverbial 'fork in the road,' and
evaluates comprehensively the potential consequences of a decision in
terms of probabilities of specific end results, and values which may b
e attached to those results. Research into outcomes in pediatric cardi
ology is fueled by the high level of interest of its three constituenc
ies - physicians who wish to provide good outcomes, patients who wish
to enjoy them, and payers who demand a return of good outcomes for the
ir investment. Despite the observation that the decision analytical co
nstruct for handling outcomes data has shortcomings for each of the th
ree constituencies, decision analysis is beginning to flourish. It has
been applied to define optimal diagnostic and treatment strategies, t
o expose hidden issues relevant to improving outcomes, to divide patie
nt populations into subsets for which the ideal management differs, to
guide outcomes researchers toward fruitful fields of investigation, a
nd to identify ways in which changes in health care delivery would imp
rove outcome. As outcomes research defines the survival and functional
status of children with heart disease with greater precision and scop
e, decision analysis may assume a prominent role in pediatric cardiolo
gy as a mechanism through which the data are understood and applied. (
C) 1997 Elsevier Science Ireland Ltd.