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Racial/ethnic disparities in HIV infection among people who inject drugs: an international systematic review and meta-analysis.
- Source :
- Addiction; Dec2012, Vol. 107 Issue 12, p2087-2095, 9p, 1 Diagram, 2 Charts, 3 Graphs
- Publication Year :
- 2012
-
Abstract
- Aims The Ethnic Minority Meta-Analysis ( EMMA) aims to assess racial/ethnic disparities in HIV infection among people who inject drugs ( PWID) across various countries. This is the first report of the data. Methods Standard systematic review/meta-analysis methods were utilized, including searching for, screening and coding published and unpublished reports and meta-analytical statistics. We followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement and Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines for reporting methods. Disparities were measured with the odds ratio (OR) for HIV prevalence among ethnic minority PWID compared to ethnic majority PWID; an OR >1.0 indicated higher prevalence among ethnic minorities. Results Racial/ethnic disparities in HIV prevalence among PWID were examined in 131 prevalence reports, with 214 racial/ethnic minority to majority comparisons, comprising 106 715 PWID. Overall, the pooled OR indicates an increased likelihood of higher HIV prevalence among racial/ethnic minority compared to racial/ethnic majority PWID [ OR = 2.09, 95% confidence interval ( CI): 1.92-2.28]. Among 214 comparisons, 106 produced a statistically significant higher OR for minorities; in 102 comparisons the OR was not significantly different from 1.0; six comparisons produced a statistically significant higher OR for majority group members. Disparities were particularly large in the United States, pooled OR = 2.22 (95% CI: 2.03-2.44). There was substantial variation in ORs- I<superscript>2</superscript> = 75.3%: interquartile range = 1.38-3.56-and an approximate Gaussian distribution of the log ORs. Conclusions Among people who inject drugs, ethnic minorities are approximately twice as likely to be HIV seropositive than ethnic majorities. The great heterogeneity and Gaussian distribution suggest multiple causal factors and a need to tailor interventions to local conditions. [ABSTRACT FROM AUTHOR]
- Subjects :
- CONFIDENCE intervals
EPIDEMIOLOGY
HIV infections
MEDICAL information storage & retrieval systems
PSYCHOLOGY information storage & retrieval systems
MEDLINE
META-analysis
MINORITIES
ONLINE information services
PUBLIC health
REGRESSION analysis
RESEARCH funding
SYSTEMATIC reviews
DATA analysis
INTRAVENOUS drug abusers
HEALTH equity
CROSS-sectional method
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 09652140
- Volume :
- 107
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Addiction
- Publication Type :
- Academic Journal
- Accession number :
- 83485216
- Full Text :
- https://doi.org/10.1111/j.1360-0443.2012.04027.x