Internet administration of the Edinburgh Depression Scale

J Affect Disord. 2008 Mar;106(3):301-5. doi: 10.1016/j.jad.2007.07.003. Epub 2007 Aug 8.

Abstract

Background: Internet-based screening for depression is becoming increasingly important. The aim of this study is to validate the Edinburgh Depression Scale (EDS) for internet administration.

Methods: In 407 participants (64% women; 36% men) with subthreshold depression (mean age=55 years; S.D.=4.9) positive predictive values for a syndromal CIDI diagnosis of clinical depression were calculated and compared to those from paper and pencil validation studies. At one-year follow-up, internal consistency and convergent validity of the internet-based EDS were determined in 177 participants by Cronbach's alpha and correlations with the internet-administered BDI and SCL-90 subscales depression and anxiety.

Results: Positive predictive values ranged between 29% and 33% at cut-off scores of 12 to 14. Cronbach's alpha for the internet-administered EDS was 0.87. The EDS correlated significantly with the internet-administered BDI (r=.75; p<.001) and two internet-administered subscales of the SCL-90: depression (r=.77; p<.001) and anxiety (r=.72; p<.001). A major limitation is that the study was conducted without a control group of healthy subjects.

Conclusion: The psychometric properties of the internet-administered EDS are comparable to those of the paper and pencil EDS.

Publication types

  • Comparative Study
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety Disorders / diagnosis
  • Cognitive Behavioral Therapy / methods
  • Depressive Disorder / diagnosis*
  • Depressive Disorder / therapy
  • Diagnostic and Statistical Manual of Mental Disorders
  • Female
  • Follow-Up Studies
  • Humans
  • Internet / statistics & numerical data*
  • Male
  • Mass Screening / methods
  • Middle Aged
  • Personality Inventory / statistics & numerical data
  • Predictive Value of Tests
  • Psychiatric Status Rating Scales / statistics & numerical data
  • Psychometrics
  • Reproducibility of Results
  • Self Care / methods
  • Surveys and Questionnaires*