Prevalence and factors associated with Alcohol Use Disorder among People Living with HIV/AIDS in Africa: A systematic review and Meta-analysis.

Subst Abuse Treat Prev Policy

Seid

et al. 2021

Self Cite

Background Alcohol use disorders (AUD) in tuberculosis patients are complicated with poor compliance to anti-tuberculosis treatment and poor tuberculosis treatment outcomes. However, aggregate data concerning this problem is not available. Therefore, this review aimed to fill the above gap by generating an average prevalence of AUD in tuberculosis patients. Method Our electronic search for original articles was conducted in the databases of Scopus, PubMed, and EMBASE, African Index Medicus, and psych-info. Besides, the reference list of selected articles was looked at manually to have further eligible articles for the prevalence and associated factors of AUD in tuberculosis patients. The random-effects model was employed during the analysis. MS-Excel was used to extract data and stata-11 to determine the average prevalence of AUD among tuberculosis patients. A sub-group analysis and sensitivity analysis were also run. A visual inspection of the funnel plots and an Eggers publication bias plot test were checked for the presence of publication bias. Result A search of the electronic and manual system resulted in 1970 articles. After removing duplicates and unoriginal articles, only 28 articles that studied 30,854 tuberculosis patients met the inclusion criteria. The average estimated prevalence of AUD in tuberculosis patients was 30% (95% CI: 24.00, 35.00). This was with a slight heterogeneity (I2 = 57%, p-value < 0.001). The prevalence of AUD in tuberculosis patients was higher in Asia and Europe; 37% than the prevalence in the US and Africa; 24%. Besides, the average prevalence of AUD was 39, 30, 30, and 20% in studies with case-control, cohort, cross-sectional and experimental in design respectively. Also, the prevalence of AUD was higher in studies with the assessment tool not reported (36%) than studies assessed with AUDIT. AUD was also relatively higher in studies with a mean age of ≥40 years (42%) than studies with a mean age < 40 years (24%) and mean age not reported (27%). Based on a qualitative review; the male gender, older age, being single, unemployment, low level of education and income from socio-demographic variables, retreatment and treatment failure patients, stigma, and medication non-adherence from clinical variables were among the associated factors for AUD. Conclusion This review obtained a high average prevalence of AUD in tuberculosis patients and this varies across continents, design of studies, mean age of the participants, and assessment tool used. This implied the need for early screening and management of AUD in tuberculosis patients.

Section: Discussionmentioning

confidence: 58%

Prevalence and associated factors for alcohol use disorder among tuberculosis patients: a systematic review and meta-analysis study

Subst Abuse Treat Prev Policy

Seid

et al. 2021

Self Cite

“…The pooled prevalence of suicidal ideation was larger; 27.7% (95% CI 21.42, 34.05) (I 2 = 96.8%, p ≤ 0.001) in studies that used CIDI [ 18 , 28 – 30 ] than studies that assessed suicidal ideation with MINI [ 8 , 15 – 17 , 21 , 25 – 27 , 31 ]; 16.96% (95% CI 8.97, 24.95) (I 2 = 94.6%, p ≤ 0.001). Taking the average approximate sample size categorization of two earlier meta-analysis studies [ 47 , 48 ], a sub-group analysis of suicidal ideation based on sample size was done. Moreover, the average prevalence of suicidal ideation in studies that used a sample size < 400 [ 13 , 14 , 16 , 17 , 19 – 22 , 24 – 26 , 28 , 31 ] was 23.42% (95% CI 18.12, 28.72) (I 2 = 98.4%, p-value ≤ 0.001) whereas it was to be 18.3% (95% CI 8.87, 27.16) (I 2 = 96.20%, p-value ≤ 0.001) in those studies that utilized sample size ≥ 400 [ 8 , 15 , 18 , 27 , 29 , 30 ] (Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

“…Since the pooled prevalence of suicidal ideation was influenced by substantial heterogeneity, a subgroup analysis has been employed based on the study setting where Taking the average approximate sample size categorization of two earlier meta-analysis studies [47,48], a subgroup analysis of suicidal ideation based on sample size was done. Moreover, the average prevalence of suicidal ideation in studies that used a sample size < 400 […”

Section: Sub-group Analysis Of the Prevalence Of Suicidal Ideation Ammentioning

confidence: 99%

Suicidal ideation, attempt, and its associated factors among HIV/AIDS patients in Africa: a systematic review and meta-analysis study

Zenebe

2021

Int J Ment Health Syst

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Background Suicidal ideation and suicidal attempt are warning signs for and determine the prognosis of completed suicide. These suicidal behaviors are much more pronounced in people living with HIV/AIDS. Despite this, there is a scarcity of aggregate evidence in Africa. This study was therefore aimed to fill this gap. Methods we extensively searched Psych-info, PubMed, Scopus, and EMBASE to obtain eligible studies. Further screening for a reference list of articles was also done. Meta XL package was used to extract data and the Stata-11 was also employed. Cochran’s Q- and the Higgs I2 test were engaged to check heterogeneity. Sensitivity and subgroup analysis were implemented. Egger’s test and funnel plots were used in detecting publication bias. Results The pooled prevalence of suicidal ideation was 21.7% (95% CI 16.80, 26.63). The pooled prevalence of suicidal ideation in Ethiopia, Nigeria, Uganda, and South Africa was 22.7%, 25.3%, 9.8%, and 18.05% respectively. The pooled prevalence of suicidal ideation was larger; 27.7% in studies that used Composite International Diagnostic Interview (CIDI) than Mini-international Neuropsychiatric Interview (MINI); 16.96%. Moreover, the prevalence of suicidal ideation in studies with a sample size of < 400 was 23.42% whereas it was 18.3% in studies with a sample size ≥ of 400 participants. The pooled prevalence of suicidal attempts in this study was 11.06% (95% CI 6.21, 15.92). A suicidal attempt was higher in Ethiopia (16.97%) and Nigeria (16.20%) than Uganda (3.51%). This pooled prevalence of suicidal attempt was higher among studies that used a smaller sample (< 400 participants) (15.5%) than studies that used a larger sample size (≥ 400 participants) (8.4%). The pooled prevalence of suicidal attempt was 3.75%, and 16.97% in studies that used MINI and CIDI respectively. Our narrative synthesis revealed that advanced stages of AIDS, co-morbid depression, perceived HIV stigma, and poor social support was among the factors strongly associated with suicidal ideation and attempt. Conclusion The pooled magnitude of suicidal ideation and attempt was high and factors like advanced stages of AIDS, co-morbid depression, perceived stigma, and poor social support were related to it. Clinicians should be geared towards this mental health problem of HIV patients during management.

“…However, the present nding was higher when compared with the average prevalence of AUD in individuals living with HIV/AIDS in Africa (22%) (56). It was also higher than the DSM-V 12 month prevalence of alcohol use disorder in the adult general population in the USA (13.9%)(57).…”

Section: Discussionmentioning

confidence: 67%

Prevalence and associated factors for Alcohol Use Disorder among tuberculosis patients: A systematic review and meta-analysis study.

Seid

et al. 2020

Preprint

Self Cite

Background: Alcohol use disorders (AUD) in tuberculosis patients are complicated with poor compliance to anti-tuberculosis treatment and poor tuberculosis treatment outcomes. However, aggregate data concerning this problem is not available. Therefore, this review aimed to fill the above gap by generating an average prevalence of AUD in tuberculosis patients.Method: Our electronic search for original articles was conducted in the databases of Scopus, PubMed, and EMBASE, African Index Medicus, and psych-info. Besides, the reference list of selected articles was looked at manually to have further eligible articles for the prevalence and associated factors of AUD in tuberculosis patients. The random-effects model was employed during the analysis. MS-Excel was used to extract data and stata-11 to determine the average prevalence of AUD among tuberculosis patients. A sub-group analysis and sensitivity analysis were also run. A visual inspection of the funnel plots and an Eggers publication bias plot test were checked for the presence of publication bias.Result: A search of the electronic and manual system resulted in 1970 articles. After removing duplicates and unoriginal articles, only 28 articles that studied 30854 tuberculosis patients met the inclusion criteria. The average estimated prevalence of AUD in tuberculosis patients was 30% (95% CI: 24.00, 35.00). This was with a slight heterogeneity (I2 = 57%, p-value < 0.001). The prevalence of AUD in tuberculosis patients was higher in Asia and Europe; 37% than the prevalence in the US and Africa; 24%. Besides, the average prevalence of AUD was 39%, 30%, 30%, and 20% in studies with case-control, cohort, cross-sectional and experimental in design respectively. Also, the prevalence of AUD was higher in studies with the assessment tool not reported (36%) than studies assessed with AUDIT. AUD was also relatively higher in studies with a mean age of ≥ 40 years (42%) than studies with a mean age < 40 years (24%) and mean age not reported (27%). Based on a qualitative review; the male gender, older age, being single, unemployment, low level of education and income from socio-demographic variables, retreatment and treatment failure patients, stigma, and medication non-adherence from clinical variables were among the associated factors for AUD. Conclusion: This review obtained a high average prevalence of AUD in tuberculosis patients and this varies across continents, design of studies, mean age of the participants, and assessment tool used. This implied the need for early screening and management of AUD in tuberculosis patients.