The number of available antidepressant medications has increased dramatical
ly in the last 10 years. Furthermore, no single medication is a panacea for
all depressed patients-a fact underscored by randomized, controlled trial
evidence showing that when one medication fails, an alternative may succeed
. Thus, a key issue in the treatment of depression is how to optimally orch
estrate available medication options to maximally benefit the greatest numb
er of patients most rapidly. One approach is the use of consensus guideline
s or medication algorithms. This paper discusses the rationale for and crit
ical issues in the development of medication algorithms, and the timely use
of symptom measures to ensure proper implementation. Once developed, guide
lines must be appropriately implemented by clinicians, adhered to by patien
ts, and supported by administrators. These three stakeholder groups often n
eed education, incentives, and ongoing support to implement such guidelines
. Whether guidelines actually improve outcome is largely uninvestigated, al
though a recent study of depressed patients in primary care found that usin
g guidelines did improve outcome but at an increased treatment cost. The cl
inical and economic impact of guideline-driven treatment for the severe and
persistently depressed deserves study.