Assessment issues and domains in the prediction of relapse
Assessment issues and domains in the prediction of relapse
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DOI：
10.1111/j.1360-0443.1996.tb02325.x
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发表时间：
1996-12-01
期刊：
影响因子：
6
通讯作者：
Donovan, DM
中科院分区：
文献类型：
--
作者：
Donovan, DM
本文简要概述了与复发分类和预测有关的评估过程中涉及的方法学问题。这些包括复发的概念和操作定义，回顾性与前瞻性评估，回忆复发事件的归因偏差，单一与多个复发决定因素，静态与动态评估模型，以及评估复发类别所涉及的必要特异性水平。此外，还回顾了代表远端个人特征的一般领域，中间背景变量和复发情况的近端因素。描述了在这些领域中适合评估的潜在变量。结论是，最好将复发理解为一个复杂的过程，具有多个相互作用的决定因素，这些决定因素在时间接近度和对复发的相对影响方面各不相同。适当的评估模型必须足够全面，以包括来自多个领域中的每个领域和不同级别的潜在预测因子的理论相关变量。
The present paper provides a brief overview of methodological issues involved in the process of assessment related to the classification and prediction of relapse. These include conceptual and operational definitions of relapse, retrospective versus prospective assessment, attributional biases in recalling relapse events, single versus multiple determinants of relapse, static versus dynamic assessment models, and the necessary level of specificity involved in the assessment of relapse categories. Additionally, general domains representing distal personal characteristics, intermediate background variables and factors proximal in time to relapse situations are reviewed. Potential variables appropriate for assessment within each of these domains are described. It is concluded that relapse is best understood as a complex process having multiple and interactive determinants that vary in their temporal proximity from and their relative influence on relapse. An adequate assessment model must be sufficiently comprehensive to include theoretically relevant variables from each of the multiple domains and different levels of potential predictors.