An analysis published in Psychotherapy and Psychosomatics indicates the value of the Patient Health Questionnaire-9 for screening depression. Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results.
This study uses an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091).
Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22–0.24 lower compared to fully structured interviews and 0.06–0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82–0.92) and 0.86 (0.82–0.88).
Based on these findings, authors suggest that the cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.
Brooke Levis et al. Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis, BMJ (2019). DOI: 10.1136/bmj.l1476
Journal of Psychotherapy and Psychosomatics
A simple screening test for depression shows its validity (2020, April 17)
retrieved 18 April 2020
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