Table 1.
Characteristics of studies on the 1 year prevalence alcohol use disorders among HIV/AIDS patients on ART which are incorporated in the narrative as well as meta-analysis according to author first name, year of publication, setting of study, design, sample size, assessment instrument, study population and magnitude of alcohol use disorder
| Author, year | Study setting | Study design | Sample size | Assessment tool | Study population | AUD (%) | Number of cases with AUD (n) | Hazardous Drinker (%) | Harmful Drinker (%) | Dependent drinker (%) |
|---|---|---|---|---|---|---|---|---|---|---|
| Soboka et al. 2014 (1) [51] | Ethiopia | CS | 401 | AUDIT | HIV/AIDS patients | 32.6 | 127 | 24.7(96) | 2.8 | 5.1(20) |
| Egbe et al. 2017 (2) [8] | Nigeria | CS | 1187 | CIDI | HIV/AIDS patients | 17 | 202 | 7.0 | 7.8 | 2.2 |
| Goar et al. 2011 (3) [10] | Nigeria | CS | 160 | AUDIT | HIV/AIDS patients | 39.4 | 63 | 10.6% | 28.8 | 0 |
| Farley et al. 2010 (4) [9] | Nigeria | CS | 222 | AUDIT | HIV/AIDS patients | 12 | 47 | NA | NA | NA |
| Bultum et al. 2018 (5) [27] | Ethiopia | CS | 527 | AUDIT | HIV/AIDS patients | 14.2 | 75 | 10.8 | 2.5 | 0.8 |
| Duko et al. 2019 (6) [55] | Ethiopia | CS | 195 | AUDIT | HIV/AIDS patients | 31.8 | 62 | NA | NA | NA |
| Segni et al. 2017 (7) [28] | Ethiopia | CS | 418 | AUDIT | HIV/AIDS patients | 24.8 | 104 | NA | NA | NA |
| Gebre. 2019 (8) [49] | Ethiopia | CS | 332 | AUDIT | HIV/AIDS patients | 18.4 | 62 | 11.4 | 1.8 | 0.9 |
| Hahn et al. 2018 (9) [11] | Uganda | Cohort | 446 | AUDIT | HIV/AIDS patients | 30 | 133 | NA | NA | NA |
| Wandera et al. 2015 (10) [13] | Uganda | CS | 725 | AUDIT | HIV/AIDS patients | 33 | 293 | NA | NA | NA |
| Martinez et al. 2008 (11) [12] | Uganda | CS | 421 | AUDIT | HIV/AIDS patients | 1.4 | 6 | NA | NA | NA |
| Chishinga et al. 2011 (12) [23] | Zambia | CS | 649 | AUDIT | HIV/AIDS patients | 14.8 | 96 | NA | NA | NA |
| Nakimuli et al. 2011 (13) [14] | Uganda | CS | 500 | AUDIT | HIV/AIDS patients | 2 | 10 | NA | NA | NA |
| Kibera et al. 2017 (14) [20] | kenya | CS | 272 | AUDIT | HIV/AIDS patients | 14 | 38 | NA | NA | NA |
| Kiunyu et al. (15) | Kenya | CS | 164 | AUDIT | HIV/AIDS patients | 33 | 54 | 11 | 9.8 | 12.2 |
| Cichowit et al.2017 (16) [17] | South Africa | Cohort | 136 | NA | HIV/AIDS patients | 33 | 45 | NA | NA | NA |
| Cerruti et al. 2016 (17) | South Africa | CS | 1388 | AUDIT | HIV/AIDS patients | 6.6 | 93 | NA | NA | 0.3 |
| Myer et al. 2008 (18) [15] | South Africa | CS | 465 | AUDIT | HIV/AIDS patients | 27 | 126 | NA | NA | NA |
| Morojele et al.2014 (19) [16] | South Africa | CS | 303 | AUDIT | HIV/AIDS patients | 48.5 | 147 | NA | NA | NA |
| Medley et al. 2014 (20) [21] | Namibia, Kenya, Tanzania | Cohort | 3538 | AUDIT | HIV/AIDS patients | 15.7 | 184 | NA | NA | NA |
| Tang et al.2019 (21) [52] | Namibia | CS | 787 | AUDIT | HIV/AIDS patients | 30 | 237 | NA | NA | NA |
| Seth et al. 2014 (22) [22] | Namibia, Kenya, Tanzania | cohort | 3538 | AUDIT | HIV/AIDS patients | 5.4 | 184 | 0.2 | 3.2 | 2 |
Key: CS Cross-sectional, AUDIT Alcohol use disorder identification test, ART Anti-retroviral therapy, CIDI Composite International Diagnostic Interview