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      A protocol for the Hamilton Rating Scale for Depression: Item scoring rules, Rater training, and outcome accuracy with data on its application in a clinical trial

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          Abstract

          We present a fully articulated protocol for the Hamilton Rating Scale for Depression (HAM-D), including item scoring rules, rater training procedures, and a data management algorithm to increase accuracy of scores prior to outcome analyses. The latter involves identifying potentially inaccurate scores as interviews with discrepancies between two independent raters on the basis of either scores >=5-point difference) or meeting threshold for depression recurrence status, a long-term treatment outcome with public health significance. Discrepancies are resolved by assigning two new raters, identifying items with disagreement per an algorithm, and reaching consensus on the most accurate scores for those items.

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          Author and article information

          Journal
          Journal of Affective Disorders
          Journal of Affective Disorders
          Elsevier BV
          01650327
          August 2016
          August 2016
          : 200
          : 111-118
          Article
          10.1016/j.jad.2016.01.051
          4894486
          27130960
          © 2016

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