Key result
The baseline Depression Scale score predicted a subsequent depressive episode at 7 years with an area under the curve of 0.803, achieving 72.7% sensitivity and 77.8% specificity at a cut-off of ≥13.
Why the study?
Does the Depression Scale accurately recognize and predict depressive episodes in primary healthcare patients?
Population
250 primary care patients aged 18-64 years from Tampere University Hospital, Finland, who participated in…
Comparison
Depression Scale (DEPS) screening instrument vs Short Form of the Composite International…
Design
Cohort, Interviewers were masked to the baseline PSE diagnoses
Follow-up
7 years
Authors
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Supports long-term risk stratification in primary care; hypothesis-generating pending prospective validation of screening impact.
Cohort (n=250)
Single-blind
Does the Depression Scale accurately recognize and predict depressive episodes in primary healthcare patients?
Effect estimate: AUC 0.803
The Depression Scale demonstrates high diagnostic and predictive validity for depressive episodes in primary care patients, with an AUC of 0.939 for recognition and 0.803 for prediction.
Poutanen et al. (2007) conducted a cohort in Depression (n=250). Depression Scale vs. CIDI-SF diagnosis was evaluated on Prediction of CIDI-SF depression at 7-year follow-up using baseline Depression Scale score (AUC 0.803). The baseline Depression Scale score predicted a subsequent depressive episode at 7 years with an area under the curve of 0.803, achieving 72.7% sensitivity and 77.8% specificity at a cut-off of ≥13.
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