Background: Depressive disorders are common in primary care and cause subst
antial disability, but they often remain undiagnosed. Screening is a freque
ntly proposed strategy for increasing detection of depression.
Objective: To examine the cost-utility of screening for depression compared
with no screening.
Design: Nonstationary Markov model.
Data Sources: The published literature.
Time Horizon: Lifetime.
Perspective: Health care payer and societal.
Interventions: Self-administered questionnaire followed by provider assessm
ent.
Outcome Measures: costs and quality-adjusted life-years (QALYs).
Results of Base-Case Analysis: Compared with no screening, the cost to soci
ety of annual screening for depression in primary care patients is $192 444
/QALY. Screening every 5 years and one-time screening cost $50 988/QALY and
$32 053/QALY, respectively, compared with no screening. From the payer per
spective, the cost of annual screening is $225 467.
Results of Sensitivity Analyses: Cost-utility ratios are most sensitive to
the prevalence of major depression, the costs of screening, rates of treatm
ent initiation, and remission rates with treatment. In Monte Carlo sensitiv
ity analyses, the cost-utility of annual screening is less than $50 000/QAL
Y only 2.2% of the time. In multiway analyses, four model variables must be
changed to extreme values for the cost-utility of annual screening to fall
below $50 000/QALY, but a change in only one variable increases the cost-u
tility of one-time screening to more than $50 000/QALY. One-time screening
is more robustly cost-effective if screening costs are low and effective tr
eatments are being given.
Conclusions: Annual and periodic screening for depression cost more than $5
0 000/QALY, but one-time screening is cost-effective. The cost-effectivenes
s of screening is likely to improve if treatment becomes more effective.