TY - JOUR
T1 - Data compatibility in the addiction sciences
T2 - An examination of measure commonality
AU - Conway, Kevin P.
AU - Vullo, Genevieve C.
AU - Kennedy, Ashley P.
AU - Finger, Matthew S.
AU - Agrawal, Arpana
AU - Bjork, James M.
AU - Farrer, Lindsay A.
AU - Hancock, Dana B.
AU - Hussong, Andrea
AU - Wakim, Paul
AU - Huggins, Wayne
AU - Hendershot, Tabitha
AU - Nettles, Destiney S.
AU - Pratt, Joseph
AU - Maiese, Deborah
AU - Junkins, Heather A.
AU - Ramos, Erin M.
AU - Strader, Lisa C.
AU - Hamilton, Carol M.
AU - Sher, Kenneth J.
N1 - Funding Information:
Funding for the PhenX Toolkit was primarily provided by the National Human Genome Research Institute (NHGRI) of the National Institutes of Health (NIH) Cooperative Agreement U01-HG004597 with supplements from the Office of Behavioral and Social Sciences Research (OBSSR) and the National Institute on Drug Abuse (NIDA). The views and opinions expressed in this report are those of the authors and should not be construed to represent the views of NIDA, NHGRI, NIAAA, or any of the sponsoring organizations, agencies, or the U.S. Government.
PY - 2014/8/1
Y1 - 2014/8/1
N2 - The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across grants funded by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Data were extracted from applications of funded, active grants involving human-subjects research in four scientific areas (epidemiology, prevention, services, and treatment) and six frequently assessed scientific domains. A total of 548 distinct measures were cited across 141 randomly sampled applications. Commonality, as assessed by density (range of 0-1) of shared measurement, was examined. Results showed that commonality was low and varied by domain/area. Commonality was most prominent for (1) diagnostic interviews (structured and semi-structured) for substance use disorders and psychopathology (density of 0.88), followed by (2) scales to assess dimensions of substance use problems and disorders (0.70), (3) scales to assess dimensions of affect and psychopathology (0.69), (4) measures of substance use quantity and frequency (0.62), (5) measures of personality traits (0.40), and (6) assessments of cognitive/neurologic ability (0.22). The areas of prevention (density of 0.41) and treatment (0.42) had greater commonality than epidemiology (0.36) and services (0.32). To address the lack of measure commonality, NIDA and its scientific partners recommend and provide common measures for SAA researchers within the PhenX Toolkit.
AB - The need for comprehensive analysis to compare and combine data across multiple studies in order to validate and extend results is widely recognized. This paper aims to assess the extent of data compatibility in the substance abuse and addiction (SAA) sciences through an examination of measure commonality, defined as the use of similar measures, across grants funded by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA). Data were extracted from applications of funded, active grants involving human-subjects research in four scientific areas (epidemiology, prevention, services, and treatment) and six frequently assessed scientific domains. A total of 548 distinct measures were cited across 141 randomly sampled applications. Commonality, as assessed by density (range of 0-1) of shared measurement, was examined. Results showed that commonality was low and varied by domain/area. Commonality was most prominent for (1) diagnostic interviews (structured and semi-structured) for substance use disorders and psychopathology (density of 0.88), followed by (2) scales to assess dimensions of substance use problems and disorders (0.70), (3) scales to assess dimensions of affect and psychopathology (0.69), (4) measures of substance use quantity and frequency (0.62), (5) measures of personality traits (0.40), and (6) assessments of cognitive/neurologic ability (0.22). The areas of prevention (density of 0.41) and treatment (0.42) had greater commonality than epidemiology (0.36) and services (0.32). To address the lack of measure commonality, NIDA and its scientific partners recommend and provide common measures for SAA researchers within the PhenX Toolkit.
KW - Data harmonization
KW - Gene-environment interactions
KW - Measure commonality
KW - Standard measures
KW - Substance use, abuse, and addiction
UR - http://www.scopus.com/inward/record.url?scp=84903201764&partnerID=8YFLogxK
U2 - 10.1016/j.drugalcdep.2014.04.029
DO - 10.1016/j.drugalcdep.2014.04.029
M3 - Article
C2 - 24954640
AN - SCOPUS:84903201764
SN - 0376-8716
VL - 141
SP - 153
EP - 158
JO - Drug and Alcohol Dependence
JF - Drug and Alcohol Dependence
ER -