Prediction of alcohol addicted patients' smoking status through hospital tobacco control policy: A multi-level-analysis
Prediction of alcohol addicted patients' smoking status through hospital tobacco control policy: A multi-level-analysis
复制标题
DOI：
10.1080/09687630701772928
复制
发表时间：
2009-01-01
影响因子：
1.9
通讯作者：
Reschke, Konrad
中科院分区：
文献类型：
--
作者：
Donath, Carolin;Metz, Karin;Reschke, Konrad
目的：本研究的目的是探讨德国住院药物滥用治疗中心的控烟政策对酒精成瘾患者出院时吸烟状况的影响。方法：采用岗位前设计的多中心现场研究方法，在德国的40个住院治疗中心进行。烟草控制政策问卷由每个治疗中心的主任回答(N=40)。774名酒精成瘾患者的数据可以在入院和出院时进行评估。采用多水平分析(HLM)来确定制度性控烟政策对康复后吸烟状况的预测价值。结果：调查结果发现，控烟政策的力度在于对吸烟者的评估、吸烟限制的执行和吸烟政策的限制。吸烟限制的全面性和员工吸烟相关培训的强度是机构间戒烟率差异的显著预测因素。重要的戒烟个人预测因素包括性别、烟草依赖和教育状况。结论：结果支持学校和公共场所等其他领域的研究结果，表明限制性吸烟政策的有效性。然而，这一患者群体特别抵制改变，戒烟率低，烟草控制政策的影响很小；后者部分是由于个人政策变量的远端特征。
Aims: The goal of the study was the exploration of the influence of tobacco control policies in German in-patient substance abuse treatment centres on the smoking status of alcohol-addicted patients at discharge. Method: A multi-centre field study with pre-post design was carried out in 40 in-patient treatment centres in Germany. The tobacco control policy questionnaire was answered by the director of each treatment centre (N = 40). Data from 774 alcohol addicted patients could be assessed at admission and discharge. A multi-level-analysis (HLM) was carried out to identify the predictive value of institutional tobacco control policy on smoking status post-rehabilitation. Findings: Findings uncovered that the strength of tobacco control policy lie in the areas of assessment of smokers, enforcement of smoking restrictions and restrictiveness of smoking policy. Comprehensiveness of smoking restrictions and intensity of smoking-related training of the employees are significant predictors for the variance in quit rates between the institutions. Significant individual predictors for quitting include gender, tobacco dependency and educational status. Conclusions: Results support findings from other areas like schools and public areas stating the effectiveness of restrictive smoking policies. However, this patient group is especially resistant to change, quit rates are low and effects of tobacco control policy small; the latter partly due to the distal character of policy variables for the individual.