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一种在药物滥用者纵向研究中实现随访率超过90%的可复制模型。

A replicable model for achieving over 90% follow-up rates in longitudinal studies of substance abusers.

作者信息

Scott Christy K

机构信息

Lighthouse Institute, Chestnut Health Systems, 712 N. Wells, Suite 300, Chicago, IL 60610, USA.

出版信息

Drug Alcohol Depend. 2004 Apr 9;74(1):21-36. doi: 10.1016/j.drugalcdep.2003.11.007.

DOI:10.1016/j.drugalcdep.2003.11.007
PMID:15072804
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5937263/
Abstract

The goals of this paper were to: (a) discuss the interface between dominant behavioral patterns of substance users and the development of a follow-up management model, (b) describe the components of the model, (c) present data regarding its effectiveness, (d) estimate the number of contacts for various follow-up rates, (e) explore the generalizability of the model across sub samples, and (f) present client outcome data that underscore the potential negative impact of low follow-up rates. The model has been used to follow-up over 12,000 research participants yielding over a 95% follow-up rate across seven studies (with over 90% completed within +/-14 days of their anniversary date). Using data from two of these studies (n = 2010, n = 632), 22 contacts or less captured 70% of the participants while 33 or 38 contacts or less captured 90% in the first and second studies, respectively. When outcome variables were compared based on 70% versus 90% follow-up, the results varied by study and within study. An examination of the effect of attrition on validity in these two samples demonstrated that even the traditionally acceptable 30% level of attrition can result in significant bias and that the nature of the bias is unpredictable.

摘要

本文的目标是

(a)讨论物质使用者的主导行为模式与后续管理模型开发之间的接口;(b)描述该模型的组成部分;(c)展示有关其有效性的数据;(d)估计不同随访率所需的联系次数;(e)探讨该模型在子样本中的可推广性;(f)展示客户结果数据,强调低随访率可能产生的负面影响。该模型已用于对超过12,000名研究参与者进行随访,在七项研究中随访率超过95%(超过90%在其周年日期的正负14天内完成)。使用其中两项研究的数据(n = 2010,n = 632),在第一项研究中,22次或更少的联系涵盖了70%的参与者,在第二项研究中,33次或38次或更少的联系分别涵盖了90%的参与者。当根据70%和90%的随访率比较结果变量时,结果因研究和研究内部而异。对这两个样本中损耗对有效性的影响进行检查表明,即使是传统上可接受的30%的损耗水平也可能导致显著偏差,而且偏差的性质是不可预测的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ed0/5937263/457082247ca7/nihms961572f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ed0/5937263/df9809eb0852/nihms961572f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ed0/5937263/457082247ca7/nihms961572f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ed0/5937263/df9809eb0852/nihms961572f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ed0/5937263/457082247ca7/nihms961572f2.jpg

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