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Screening the public for depression through the Internet.

T K Houston1, L A Cooper, H T Vu

  • 1Department of Medicne at Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Psychiatric Services (Washington, D.C.)
|March 10, 2001
PubMed
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An online depression screening program using the CES-D scale reached many individuals, with over half testing positive. The internet offers an accessible, low-cost platform for widespread mental health screening.

Area of Science:

  • Public Health
  • Epidemiology
  • Digital Health

Background:

  • Many individuals with depression remain undetected or untreated despite public screening efforts.
  • The need for accessible and anonymous screening methods is critical for early intervention.

Purpose of the Study:

  • To evaluate the performance and characteristics of an Internet-based program for depression screening.
  • To assess the feasibility and cost-effectiveness of online mental health assessment.

Main Methods:

  • Adapted the Centers for Epidemiological Studies Depression (CES-D) scale into an online screening tool.
  • Collected anonymous survey responses on attitudes and preferences for treatment seeking.
  • Compared participant demographics with U.S. population data and previous screenings.

Related Experiment Videos

  • Calculated program costs.

    • Main Results:

    • Over 24,000 CES-D scale completions were recorded in eight months.
    • 58% of participants screened positive for depression; many had no prior treatment history.
    • The online sample skewed younger than previous screenings but underrepresented minorities and older adults.
    • Program costs included $9,000 sunk costs and $3,750 for maintenance.

    Conclusions:

    • The Internet serves as an effective, inexpensive, and accessible platform for large-scale, anonymous depression screening.
    • Consideration must be given to potential underrepresentation of older adults and minority populations in online screening.
    • The program successfully identified a significant number of individuals potentially experiencing depression.