A Multiple Indicators Multiple Causes (MIMIC) model of internal barriers to drug treatment in China
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2015 |
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| Erschienen: |
2015 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:148 |
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| Enthalten in: |
Drug and alcohol dependence - 148(2015) vom: 01. März, Seite 143-9 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Qi, Chang [VerfasserIn] |
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| Links: |
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| Themen: |
China |
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| Anmerkungen: |
Date Completed 30.12.2015 Date Revised 02.12.2018 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.drugalcdep.2014.12.033 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM245838112 |
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| 500 | |a Date Revised 02.12.2018 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2015 Elsevier Ireland Ltd. All rights reserved. | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a China | |
| 650 | 4 | |a Differential item functioning (DIF) | |
| 650 | 4 | |a Drug treatment | |
| 650 | 4 | |a Internal barriers | |
| 650 | 4 | |a Multiple Indicators Multiple Causes (MIMIC) | |
| 700 | 1 | |a Kelly, Brian C |e verfasserin |4 aut | |
| 700 | 1 | |a Liao, Yanhui |e verfasserin |4 aut | |
| 700 | 1 | |a He, Haoyu |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Tao |e verfasserin |4 aut | |
| 700 | 1 | |a Deng, Huiqiong |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Tieqiao |e verfasserin |4 aut | |
| 700 | 1 | |a Hao, Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Jichuan |e verfasserin |4 aut | |
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