Barriers and Facilitators for HIV Testing Practice Among Ethiopian Women Aged 15-24 years: Analysis of the 2016 Ethiopian Demographic and Health Survey

Diress, Gedefaw; Ahmed, Mohammed; Adane, Seteamlak; Linger, Melese; Alemnew, Birhan

doi:10.2147/hiv.s280590

Cited by 13 publications

(25 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Marital status was significantly associated with HIV testing among youth in this study, with married youth (aOR 3.89) having higher odds of HIV testing than single youth. Our results showed consistent findings with other SSA studies [11,15,18,46]. The reason for increased odds of HIV testing among married youth compared to single youth could be the HIV testing services offered during ANC visits as suggested in studies that adolescents and young women who had attended ANC or had given birth in the health facility have greater chances of getting tested as testing is a prerequisite for antenatal women at certain SSA countries [15,19,37,46].…”

Section: Discussionsupporting

confidence: 90%

“…The odds of being tested for HIV increase with an increase in the educational level, corroborating other SSA studies [11,13,18,19]. Attaining formal education improves HIV knowledge, increases youth health literacy levels, and facilitates relevant decision-making enhancing health facility visits and health services utilization [11,13].…”

Section: Discussionsupporting

confidence: 77%

“…Age has a significant association with testing among youth in SSA, and HIV testing was lower in adolescents (15~19 years) than those aged 20~24 [11][12][13]. Marital status and gender showed an association with HIV testing [14][15][16][17][18]. The odds of testing were higher among married youth compared to single youth [11,16].…”

Section: Introductionmentioning

confidence: 97%

“…Evidence showed that in Zambia, Nigeria, and South Africa, females were most likely than males to get tested for HIV [15,19,20]. Youth who had received a formal education were more likely to be tested than those with no education [11,12,18,19], higher in urban dwellers [15,21,22]. The association of ethnicity and HIV testing was less studied in SSA; however, race/ ethnicity has significantly predicted HIV testing in the United States (US).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Predictors of HIV testing among youth aged 15–24 years in The Gambia

et al. 2022

View full text Add to dashboard Cite

Background Worldwide, an estimated 38.0 million people lived with the human immunodeficiency virus in 2019, and 3.4 million young people aged 15~24 years were living with HIV. Sub-Saharan Africa carries a significant HIV burden with West and Central Africa most affected with HIV. Among the young people living with HIV in West and Central Africa, an estimated 810,000 were aged 15~24 years. This study aimed to assess predictors that influence the uptake of HIV testing among youth aged 15~24 years in The Gambia. Methods The 2013 Gambia Demographic and Health Survey data for youth aged 15~24 years was used. The Andersen behavioral model of health service use guided this study. A cross-sectional study design was used on 6194 subjects, among which 4730 were female. The analysis employed Chi-squared tests and hierarchical logistic regression. Results Less than one-quarter of the youth 1404 (22.6%) had ever been tested for HIV. Young people aged 20~24 years (adjusted odds ratio (aOR): 1.98), who were females (aOR: 1.13), married youth (aOR: 3.89), with a primary (aOR: 1.23), secondary or higher education (aOR: 1.46), and who were from the Jola/Karoninka ethnic group (aOR: 1.81), had higher odds of having been tested for HIV. Those with adequate HIV knowledge and those who were sexually active and had aged at first sex ≥15 years (aOR: 3.99) and those <15 years (aOR: 3.96) were more likely to have been tested for HIV compared to those who never had sex. Conclusion This study underscores the low level of model testing on HIV testing among youth (15~24 years) in The Gambia. Using Anderson’s Model of Health Service Utilization, the predisposing factors (socio-demographic and HIV knowledge) and the need-for-care factors (sexual risk behaviors) predict healthcare utilization services (HIV testing) in our study; however, only socio-demographic model explained most of the variance in HIV testing. The low effect of model testing could be related to the limited number of major variables selected for HIV knowledge and sexual risk behavior models. Thus, consideration for more variables is required for future studies.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Predictors of HIV testing among youth aged 15–24 years in The Gambia

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This reveals a sharp disconnect between the generally high awareness rate and the low uptake of HIV testing that needs to be investigated empirically. Other studies conducted in Ethiopia and other parts of Eastern Africa have identified age, gender, marital status, educational status, socioeconomic status, area of residence, and wealth index [4,7,9,16] as independent predictors of HIV testing among young women. However, in the Gambia, previous studies conducted around HIV have largely focused on HIV knowledge and risk behaviors among men who have sex with men [17], trends of HIV-1 and HIV-2 [18].…”

Section: Introductionmentioning

confidence: 98%

Factors Associated with HIV Testing among Reproductive Women Aged 15–49 Years in the Gambia: Analysis of the 2019–2020 Gambian Demographic and Health Survey

Deynu

Agyemang

Anokye

2022

IJERPH

View full text Add to dashboard Cite

Voluntary counselling and testing for Human Immunodeficiency Virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS) has always been one of the key policy interventions in the management and control of HIV/AIDS transmission. However, the prevalence of HIV testing among reproductive women in the Gambia remains low despite near universal information about HIV and Sexually Transmitted Infections (STIs) in the Gambia. Understanding factors influencing HIV testing uptake provides empirical data for the development of targeted evidenced-based strategies aimed at enhancing HIV testing uptake. Therefore, this study examined the factors associated with HIV testing among reproductive women aged 15–49 years in the Gambia. Data on weighted sample of 11,865 women from the 2019–2020 Gambia Demographic and Health Survey were analyzed in this study. Chi square, bivariate and multivariate logistic regression models were fitted and analysis conducted through Complex Samples Analysis in Statistical Package for Social Sciences (SPSS). Level of significance was set at p < 0.05 and 95% CI. Further analysis was conducted to determine the variability in HIV testing among women stratified by rural and urban centers. Prevalence of HIV testing among reproductive women was 42.1% (95% CI = 40.1–44.2%) in the Gambia. Women aged 20–24 years and 25–29 years (aOR = 3.10, 95% CI = 2.51–3.83) and (aOR = 4.52, 95% CI = 3.61–5.54) were more likely to test for HIV than those aged 15–19 years, respectively. Married women (aOR = 5.90, 95% CI = 4.84–7.02) were more likely to test for HIV compared to those who were not in any union. Respondents with higher education in urban centers (aOR = 2.65, 95% CI = 2.08–3.86) were likely to test for HIV compared to those in rural areas. HIV testing in the Gambia among reproductive women is low. Age, marital status, wealth index, place of residence, educational level, recent sexual activity, previous history of risky sexual behaviors, and history of an STI were associated with HIV testing. Health interventions targeted at increasing HIV testing uptake should factor in these.

show abstract

Prevalence and predictors of HIV testing among young men in Papua New Guinea: a cross-sectional analysis of a nationally representative sample

Maviso

2023

Preprint

View full text Add to dashboard Cite

HIV testing is a crucial strategy for HIV prevention, treatment, care, and support. However, its uptake is suboptimal among young people, particularly in settings where the HIV burden is highest. In Papua New Guinea (PNG), HIV testing and its predictors among young men are understudied. This study aimed to assess the prevalence and predictors of not testing for HIV among young men aged 15-24 years in PNG. Data were drawn from the 2016-2018 PNG Demographic and Health Survey (DHS). A total of 1,362 young men were included in the study. Multivariable logistic regression using the complex sampling technique was used to determine predictors of not testing for HIV. Results were reported as adjusted Odds Ratios (AOR) with 95% Confidence Intervals (CI). The prevalence of not testing for HIV among young men was 82.7%. Young men who were never married (AOR 1.88; 95% CI: 1.19-2.96), did not own a mobile phone (AOR 1.79; 95% CI: 1.17-2.77), had not paid anyone for sex (AOR 2.82; 95% CI: 1.29-6.14), and had no STIs (AOR 1.97; 95% CI: 1.00-3.85) had higher odds of not testing for HIV. The odds of not testing for HIV remained lower among young men who did not always use a condom during sex (AOR 0.62; 95% CI: 0.39-0.96). HIV testing among young men in this study was much lower, suggesting an urgent need to adopt novel prevention approaches to address this shortfall. Furthermore, youth-oriented health services should be prioritized with a focus on improving HIV knowledge, risk reduction, and behaviour change among young men in this setting.

show abstract

Barriers and Facilitators for HIV Testing Practice Among Ethiopian Women Aged 15-24 years: Analysis of the 2016 Ethiopian Demographic and Health Survey

Cited by 13 publications

References 25 publications

Predictors of HIV testing among youth aged 15–24 years in The Gambia

Predictors of HIV testing among youth aged 15–24 years in The Gambia

Factors Associated with HIV Testing among Reproductive Women Aged 15–49 Years in the Gambia: Analysis of the 2019–2020 Gambian Demographic and Health Survey

Prevalence and predictors of HIV testing among young men in Papua New Guinea: a cross-sectional analysis of a nationally representative sample

Contact Info

Product

Resources

About