title: Ecological Momentary Assessment and Alcohol Use Disorder Treatment.
abstract: The ability to capture real-time data on human behavior inexpensively, efficiently, and accurately holds promise to transform and broaden our understanding of many areas of health science. One approach to acquiring this type of real-time data is ecological momentary assessment (EMA).This method has been used to collect data in many domains of addiction research, including research on the treatment of alcohol use disorders (AUDs). Empirical evidence supports the hypothesis that use of EMA can improve the quality of AUD treatment research when compared with standard assessment methods because it provides more accurate reporting, allows investigators to examine the dynamic unfolding of the behavior change process at an individual level, and can be used to augment and improve clinical assessment and treatment. Overall, the existing literature provides strong support for the advantages of EMA when combined with standard assessment of addictive behaviors in general. Nevertheless, use of EMA in AUD treatment research thus far has been limited, especially in the area of research on mechanisms of behavior change. Existing research indicates, however, that EMA can be used to deliver tailored feed- back as a novel and potentially transformative approach to improving AUD treatment. This research area clearly warrants additional future efforts.
authors.affiliation: Department of Psychiatry, Columbia University Medical Center, New York.
authors.forename: Jon
authors.initials: J
authors.lastname: Morgenstern
authors.affiliation: Department of Psychiatry, Columbia University Medical Center, New York.
authors.forename: Alexis
authors.initials: A
authors.lastname: Kuerbis
authors.affiliation: Department of Psychiatry, North Shore Long Island Jewish Health System, New York; New York University's Interactive and Telecommunications Program, New York.
authors.forename: Frederick
authors.initials: F
authors.lastname: Muench
mesh_terms: D019973:Alcohol-Related Disorders / Q000175:diagnosis* / Q000628:therapy*; D006801:Humans; D018670:Monitoring, Ambulatory / Q000379:methods*