Utilizing mHealth methods to identify patterns of high risk illicit drug use

Post Date: 
2015-06-01
Publication: 
Drug and Alcohol Dependence
Country: 
Summary: 
Introduction: We assessed patterns of illicit drug use using mobile health (mHealth) methods and subsequent health care indicators among drug users in Baltimore, MD.
 
Methods: Participants of the EXposure Assessment in Current Time (EXACT) study were provided a mobile device for assessment of their daily drug use (heroin, cocaine or both), mood and social context for 30 days from November 2008 through May 2013. Real-time, self-reported drug use events were summed for individuals by day. Drug use risk was assessed through growth mixture modeling. Latent class regression examined the association of mHealth-defined risk groups with indicators of healthcare access and utilization.
Citation: 
Linas BS, Latkin C, Genz A, Westergaard RP, Chang LW, Bollinger RC, Kirk GD. Utilizing mHealth methods to identify patterns of high risk illicit drug use. Drug and Alcohol Dependence. 2015;151:250-7.
Collaborators: 
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
Department of Medicine, University of Wisconsin, Madison, WI
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD