Making clinicians lives easier: Guidance on use of the QIDS self-report in place of the MADRS

JOURNAL OF AFFECTIVE DISORDERS

卷:95

Article

Carmody, Thomas J. ; Rush, A. John ; Bernstein, Ira H. ; Brannan, Stephen ; Husain, Mustafa M. ; Trivedi, Madhukar H.

关键词: Montgomery Asberg Depression Rating Scale (MADRS);    16-item Quick Inventory of Depressive Symptomatology-self-report (QIDS-SR16);    item response theory;    classical test theory;    psychometrics;    total score conversion;   

DOI  :  10.1016/j.jad.2006.03.024

来源: Elsevier

【 摘 要 】

Background: The ability to convert total scores from one scale to another facilitates the interpretation of research findings and facilitates the use of systematic measurement in clinical practice. Methods: Item Response Theory methods were used to convert total scores between the 16-item Quick Inventory of Depressive Symptomatology (QIDS-SR16) and the Montgomery Asberg Depression Rating Scale (MADRS) total scores. Data were obtained from a sample of 233 outpatients with highly treatment-resistant, nonpsychotic major depressive episodes participating in a one-year open label study of vagus nerve stimulation to augment psychotropic medication treatment. Results: MADRS total scores averaged 31.9 (SD=6.7) at baseline and 21.9 (SD=11.0) at one year. QIDS-SR16 total scores averaged 17.6 (SD = 3.6) at baseline and 12.5 (SD = 5.8) at one year. Based on one-year data (or exit if the patient did not complete one year), corresponding QIDS-SR16 and MADRS total scores were presented for each possible QIDS-SR16 and MADRS total score. A QIDS-SR16 total score of 5 was comparable to a MADRS total score of 7 or 8 (7.5). Limitation: The degree to which these results generalize to less treatment-resistant samples is unknown. Conclusion: The conversion of QIDS-SR16 and MADRS total scores provides a basis for clinicians who wish to use the QIDSSR(16) to understand what MADRS total scores reported in clinical trials approximate QIDS-SR16 total scores obtained with their patients. (c) 2006 Elsevier B.V. All rights reserved.

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