Sofin Yvonne, Danker-Hopfe Heidi, Gooren Tina, Neu Peter
Jewish Hospital Berlin, Clinic for Psychiatry and Psychotherapy, Heinz-Galinski-Str. 1, 13347 Berlin, Germany.
Competence Center for Sleep Medicine, Charité-School of Medicine, Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, Germany.
J Addict. 2017;2017:6415831. doi: 10.1155/2017/6415831. Epub 2017 Mar 6.
. This prospective study aims to identify patient characteristics as predictors for treatment outcome during inpatient detoxification treatment for drug and alcohol dependent patients. . A mixed gender sample of 832 consecutively admitted drug and alcohol dependent patients were interviewed by an experienced physician. The impact of a variety of factors concerning social environment, therapy motivation, impulsivity related variables, medical history, and addiction severity on treatment outcome was examined. . 525 (63.1%) of the patients completed detoxification treatment whereas 307 (36.9%) dropped out prematurely. Being female, living in a partnership, having children, being employed, and having good education were predictive for a positive outcome. Family, health, the fear of losing the job, prosecution, and emergency admission were significant motivational predictors for treatment outcome. Being younger, history of imprisonment, and the number of previous drop-outs were predictive for a negative outcome. . Variables concerning social environment and the number of previous drop-outs have been identified as best predictors for treatment outcome. Socially stable patients benefit from the current treatment setting and treatment shall be adapted for patients with negative predictors. Treatment may consequently be tailored with respect to intervention type, duration, and intensity to improve the outcome for those patients that fulfil criteria with negative impact on treatment retention.
这项前瞻性研究旨在确定在药物和酒精依赖患者的住院戒毒治疗期间,作为治疗结果预测指标的患者特征。
832名连续入院的药物和酒精依赖患者的混合性别样本由一名经验丰富的医生进行访谈。研究考察了各种与社会环境、治疗动机、冲动相关变量、病史和成瘾严重程度有关的因素对治疗结果的影响。
525名(63.1%)患者完成了戒毒治疗,而307名(36.9%)患者提前退出。女性、处于伴侣关系、有孩子、有工作和受过良好教育是积极治疗结果的预测因素。家庭、健康、对失去工作的恐惧、被起诉和紧急入院是治疗结果的重要动机预测因素。年龄较小、有入狱史和之前退出的次数是消极治疗结果的预测因素。
与社会环境和之前退出次数有关的变量已被确定为治疗结果的最佳预测指标。社会稳定的患者受益于当前的治疗环境,治疗应针对有消极预测指标的患者进行调整。因此,可以根据干预类型、持续时间和强度对治疗进行调整,以改善那些符合对治疗保留有负面影响标准的患者的治疗结果。