Predictors of methadone program non-retention for opioid analgesic dependent patients
Predictors of methadone program non-retention for opioid analgesic dependent patients
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DOI：
10.1016/j.jsat.2012.03.002
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发表时间：
2013-01-01
影响因子：
3.9
通讯作者：
Small, Chris
中科院分区：
文献类型：
--
作者：
Cox, Joseph;Allard, Robert;Small, Chris
本研究评估了加拿大东部社区依赖阿片类镇痛药的患者美沙酮维持治疗（MMT）计划的随访损失。使用成瘾严重程度指数Lite收集数据。使用至事件发生时间分析评价失访概率。非自愿和自愿项目出院被单独视为关注的结局。多变量考克斯比例风险模型被用来探讨各种患者相关属性的作用。1年时非自愿和自愿出院的概率分别为20%和14%。在这项探索性分析中，失访的决定因素是与药物使用史相关的特征（例如，使用镇静剂）及其后果（例如，终身逮捕的数量），并为每个结果不同。非自愿出院的一些决定因素被性别改变。了解特定失访结局的预测因素可能有助于MMT项目改善患者保留。皇冠版权所有（C）2013由Elsevier Inc.发布。All rights reserved.
This study evaluates loss to follow-up in a methadone maintenance treatment (MMT) program for patients dependent on opioid analgesics in a community in eastern Canada. Data were collected using the Addiction Severity Index Lite. The probability of loss to follow-up was evaluated using a time-to-event analysis. Involuntary and voluntary program discharges were treated separately as the outcomes of interest. Multivariate Cox proportional hazards models were used to explore the role of various patient-related attributes. The probabilities of involuntary and voluntary discharges at 1 year were 20% and 14%, respectively. In this exploratory analysis, determinants of loss to follow-up were characteristics related to drug use history (e.g., use of sedatives) and its consequences (e.g., number of lifetime arrests), and differed for each outcome. Some determinants of involuntary discharge were modified by sex. Understanding predictors of specific loss to follow-up outcomes may help MMT programs improve patient retention. Crown Copyright (C) 2013 Published by Elsevier Inc. All rights reserved.