A Multiple Indicators Multiple Causes (MIMIC) model of internal barriers to drug treatment in China. (1st March 2015)

• Record Type: Journal Article
• Authors: Qi, Chang; Kelly, Brian C.; Liao, Yanhui; He, Haoyu; Luo, Tao; Deng, Huiqiong; Liu, Tieqiao; Hao, Wei; Wang, Jichuan
• Is Part Of: Drug and alcohol dependence. Volume 148(2015)
• Page Start: 143
• Page End: 149
• Publication Date: 2015-03-01
• Subjects: Drug treatment -- Internal barriers -- Multiple Indicators Multiple Causes (MIMIC) -- Differential item functioning (DIF) -- China; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2014.12.033
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: Drug users were recruited from drug rehabilitation centers inChina. All completed a survey containing the Barriers to Treatment Inventory. A Multiple Indicators Multiple Causes approach was applied to investigate the effect of individual's characteristics. Three individual characteristics (i.e., age, primary drug use and treatment experience) have significant effects on factors. Three itemsdisplay differential item functioning asparticipants from different groups gave different responses to these items. Abstract: Background: Although evidence exists for distinct barriers to drug abuse treatment (BDATs), investigations of their inter-relationships and the effect of individual characteristics on the barrier factors have been sparse, especially in China. A Multiple Indicators Multiple Causes (MIMIC) model is applied for this target. Methods: A sample of 262 drug users were recruited from three drug rehabilitation centers in Hunan Province, China. We applied a MIMIC approach to investigate the effect of gender, age, marital status, education, primary substance use, duration of primary drug use, and drug treatment experience on the internal barrier factors: absence of problem (AP), negative social support (NSS), fear of treatment (FT), and privacy concerns (PC). Results: Drug users of various characteristics were found to report different internal barrier factors. Younger participants were more likely to report NSS (−0.19, p = 0.038) and PC (−0.31, p < 0.001). Compared to other drug users, ice users were more likely to report AP (0.44, p < 0.001) and NSS (0.25, p = 0.010). Drug treatment experiences related to AP (0.20, p = 0.012). In addition, differential item functioning (DIF) occurred in three items when participant from groups with different duration of drug use, ice use, or marital status. Conclusions: Individual characteristics had significant effects on internal barriers to drug treatment. On this basis, BDAT perceived by different individuals could be assessed before tactics were utilized to successfully remove perceived barriers to drug treatment.