• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

复发预测中的评估问题与领域

Assessment issues and domains in the prediction of relapse.

作者信息

Donovan D M

机构信息

Alcohol and Drug Abuse Institute, Seattle, Washington 98105-6696, USA.

出版信息

Addiction. 1996 Dec;91 Suppl:S29-36.

PMID:8997779
Abstract

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.

摘要

本文简要概述了与复发分类和预测相关的评估过程中涉及的方法学问题。这些问题包括复发的概念和操作定义、回顾性评估与前瞻性评估、回忆复发事件时的归因偏差、复发的单一决定因素与多个决定因素、静态评估模型与动态评估模型,以及复发类别评估中所需的特异性水平。此外,还对代表远端个人特征、中间背景变量和复发情况发生时间上较近因素的一般领域进行了综述。描述了适合在这些领域中每个领域进行评估的潜在变量。得出的结论是,复发最好被理解为一个复杂的过程,具有多个相互作用的决定因素,这些因素在与复发的时间接近度及其对复发的相对影响方面各不相同。一个充分的评估模型必须足够全面,以包括来自多个领域和不同潜在预测水平的理论相关变量。

相似文献

1
Assessment issues and domains in the prediction of relapse.复发预测中的评估问题与领域
Addiction. 1996 Dec;91 Suppl:S29-36.
2
Relapse to alcohol and drug use among individuals diagnosed with co-occurring mental health and substance use disorders: a review.被诊断患有共病精神健康和物质使用障碍的个体中酒精和药物使用的复发:一项综述
Clin Psychol Rev. 2006 Mar;26(2):162-78. doi: 10.1016/j.cpr.2005.11.005. Epub 2006 Jan 6.
3
Replication and extension of Marlatt's taxonomy of relapse precipitants: overview of procedures and results. The Relapse Research Group.马尔拉特复发诱发因素分类法的复制与扩展:程序与结果概述。复发研究小组
Addiction. 1996 Dec;91 Suppl:S51-71.
4
Relapse to alcohol and other drug use in treated adolescents: review and reconsideration of relapse as a change point in clinical course.接受治疗的青少年复饮酒精及其他药物:将复发视为临床病程中的一个转变点进行回顾与重新思考。
Clin Psychol Rev. 2006 Mar;26(2):149-61. doi: 10.1016/j.cpr.2005.11.004. Epub 2005 Dec 20.
5
Lest taxonomy become taxidermy: a comment on the relapse replication and extension project.以免分类学沦为标本制作:关于复发复制与扩展项目的评论
Addiction. 1996 Dec;91 Suppl:S147-53.
6
What predicts relapse? Prospective testing of antecedent models.什么能预测复发?对先行模型的前瞻性测试。
Addiction. 1996 Dec;91 Suppl:S155-72.
7
Application of random-effects regression models in relapse research.随机效应回归模型在复发研究中的应用。
Addiction. 1996 Dec;91 Suppl:S211-29.
8
Conceptual, methodological, and analytical issues in the study of relapse.复发研究中的概念、方法和分析问题。
Clin Psychol Rev. 2006 Mar;26(2):109-27. doi: 10.1016/j.cpr.2005.11.002. Epub 2005 Dec 20.
9
Outpatient alcoholism treatment: predictors of outcome after 3 years.门诊酒精成瘾治疗:3年后的预后预测因素。
Drug Alcohol Depend. 2005 Oct 1;80(1):83-9. doi: 10.1016/j.drugalcdep.2005.03.011.
10
The reliability of Marlatt's taxonomy for classifying relapses.马尔拉特用于对复发进行分类的分类法的可靠性。
Addiction. 1996 Dec;91 Suppl:S73-88.

引用本文的文献

1
Risk factors for relapse among patients with alcohol dependence syndrome.酒精依赖综合征患者复发的危险因素。
Bioinformation. 2025 May 31;21(5):1034-1037. doi: 10.6026/973206300211034. eCollection 2025.
2
Testing support models for implementing an evidence-based digital intervention for alcohol use disorder: results of a pragmatic hybrid implementation-effectiveness trial.测试用于实施酒精使用障碍循证数字干预的支持模型:一项实用混合实施-效果试验的结果
Res Sq. 2024 Mar 28:rs.3.rs-4004555. doi: 10.21203/rs.3.rs-4004555/v1.
3
Measuring the Awareness Levels of Individuals with Alcohol and Substance Use Disorders: Tertiary Prevention Standards and Development of Uskudar Result Awareness and Harm Perception Scales.
测量酒精和物质使用障碍个体的认知水平:三级预防标准及于斯屈达尔结果认知与危害感知量表的编制
Brain Sci. 2023 Jun 2;13(6):901. doi: 10.3390/brainsci13060901.
4
Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study.阿片类物质使用障碍复发的前瞻性预测:一项个人传感研究方案
JMIR Res Protoc. 2021 Dec 7;10(12):e29563. doi: 10.2196/29563.
5
Relapse and Risk-taking among Iranian Methamphetamine Abusers Undergoing Matrix Treatment Model.接受基质治疗模式的伊朗甲基苯丙胺滥用者的复发与冒险行为
Addict Health. 2016 Winter;8(1):49-60.
6
Mobile Delivery of Treatment for Alcohol Use Disorders: A Review of the Literature.酒精使用障碍治疗的移动交付:文献综述
Alcohol Res. 2014;36(1):111-22.
7
Anti-saccade error rates as a measure of attentional bias in cocaine dependent subjects.反扫视错误率作为可卡因依赖者注意力偏差的一种测量方法。
Behav Brain Res. 2015 Oct 1;292:493-9. doi: 10.1016/j.bbr.2015.07.006. Epub 2015 Jul 8.
8
Predictive modeling of addiction lapses in a mobile health application.基于移动健康应用的成瘾复发预测模型。
J Subst Abuse Treat. 2014 Jan;46(1):29-35. doi: 10.1016/j.jsat.2013.08.004. Epub 2013 Sep 10.
9
How Patients Recovering From Alcoholism Use a Smartphone Intervention.酗酒康复患者如何使用智能手机干预措施。
J Dual Diagn. 2012;8(4):294-304. doi: 10.1080/15504263.2012.723312. Epub 2012 Nov 8.
10
Individual differences in anterior cingulate activation associated with attentional bias predict cocaine use after treatment.与注意力偏向相关的前扣带皮层激活的个体差异可预测治疗后可卡因的使用。
Neuropsychopharmacology. 2013 May;38(6):1085-93. doi: 10.1038/npp.2013.7. Epub 2013 Jan 7.