A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders

被引:37
作者
Nahum-Shani, Inbal [1 ]
Ertefaie, Ashkan [2 ]
Lu, Xi [3 ]
Lynch, Kevin G. [4 ,5 ]
McKay, James R. [6 ,7 ]
Oslin, David W. [8 ,9 ]
Almirall, Daniel [1 ]
机构
[1] Univ Michigan, Inst Social Res, 426 Thompson St, Ann Arbor, MI 48106 USA
[2] Univ Rochester, Dept Biostat & Computat Biol, Rochester, NY USA
[3] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
[4] Univ Penn, Dept Psychiat, Treatment Res Ctr, Philadelphia, PA 19104 USA
[5] Univ Penn, Dept Psychiat, Ctr Studies Addict, Philadelphia, PA 19104 USA
[6] Univ Penn, Dept Psychiat, Ctr Continuum Care Addict, Philadelphia, PA 19104 USA
[7] Univ Penn, Philadelphia Vet Adm Med Ctr, Philadelphia, PA 19104 USA
[8] Univ Penn, VISN MIRECC Cpl Michael J Crescenz VA Med Ctr 4, Philadelphia, PA 19104 USA
[9] Univ Penn, Dept Psychiat, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院;
关键词
Adaptive interventions; adaptive treatment strategies; alcohol dependence; Q-learning; Sequential Multiple Assignment Randomized Trial (SMART); stepped-care; DYNAMIC TREATMENT REGIMES; CONTINUING CARE; INDIVIDUALIZED TREATMENT; ALCOHOL DEPENDENCE; PERSONALIZED TREATMENT; RANDOMIZED-TRIAL; CHRONIC DISEASE; NALTREXONE; OUTCOMES; DESIGN;
D O I
10.1111/add.13743
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
AimsTo demonstrate how Q-learning, a novel data analysis method, can be used with data from a sequential, multiple assignment, randomized trial (SMART) to construct empirically an adaptive treatment strategy (ATS) that is more tailored than the ATSs already embedded in a SMART. MethodWe use Q-learning with data from the Extending Treatment Effectiveness of Naltrexone (ExTENd) SMART (N=250) to construct empirically an ATS employing naltrexone, behavioral intervention, and telephone disease management to reduce alcohol consumption over 24weeks in alcohol dependent individuals. ResultsQ-learning helped to identify a subset of individuals who, despite showing early signs of response to naltrexone, require additional treatment to maintain progress. ConclusionsQ-learning can inform the development of more cost-effective, adaptive treatment strategies for treating substance use disorders.
引用
收藏
页码:901 / 909
页数:9
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