Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants

Kirakoya‐Samadoulougou, Fati; Jean, Kévin; Maheu‐Giroux, Mathieu

doi:10.1186/s12889-017-4417-2

Cited by 63 publications

(90 citation statements)

References 43 publications

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“…Compared to males who were not working and didn't work in last 12 months before the interview, the odds of getting tested for HIV/AIDS for professional workers surpasses by about two-fold; whereas the odds for the males engaged in trade/sales, elementary and other types of work are on the upper hand by about 73.2%, 46.3%, and 83.6% respectively. The current nding is consistent with the results elicited by studies conducted in Burkina Faso and Soweto, South Africa (21,22). This is reasonably due to exposure to different workplaces than agriculture is expected to give a different level of access to information about VCT services and bene ts.…”

Section: Discussionsupporting

confidence: 90%

“…Whereas, the odds of getting tested for HIV/AIDS for males who watch TV at least once a week surpasses that of males who do not watch TV at all by about 29%. This result is similar to the ndings from Zimbabwe and Burkina Faso where exposure to media was positively associated with HIV VCT uptake (21,29). Evidence from the analysis of the 2016 Uganda DHS showed that listening to radio once a week and watching television more than once a week increases the odds of being tested for HIV by 4.57% and 8.57% respectively (33).…”

Section: Discussionsupporting

confidence: 87%

“…HIV VCT uptake among sexually active men in Ethiopia was estimated to be 45.69% (95% CI: [43.08%, 48.33%]). The magnitude of our study is greater than many ndings done in Burkina Faso, Ethiopia, Cambodia, and South Africa (9,15,(20)(21)(22)(23). But the current gure is less than the result drawn from the study done in Malawi (10).…”

Section: Discussioncontrasting

confidence: 75%

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HIV Voluntary Counseling and Testing Uptake and Associated Factors among Sexually Active Men in Ethiopia: Evidence from the 2016 EDHS Using Multilevel Modeling

Kabeta

Feyasa

Nigatu

2020

Preprint

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Background HIV counselling affirms that people exercise their right to known their HIV status and open the gateway to care, treatment, and support for a person in need. Existing evidence shows that its counselling and testing uptake among sexually active males in Ethiopia is too low and hence this study aims to determine the status of uptake and identify its determinants. Method Data on 12, 688 sexually active men was extracted from the 2016 Ethiopian Demographic and Health Survey. Multilevel logistic regression was fitted to identify the factors associated with the uptake. Result This study depicted that the overall voluntary counseling and testing of HIV uptake among sexually active men in Ethiopia was 45.69%; 95% CI [43.08%, 48.33%]. Results showed that about 13% of the variation in the likelihood of being tested for HIV was due to the variation among the regions. Moreover, age, religion, education, occupational, marital status, HIV knowledge, health insurance, wealth status, risky sexual behavior, discussion about family planning with health workers, owning of mobile, frequency of watching television and listening to the radio were significant factors. Conclusion Voluntary counseling and testing uptake among sexually active men in Ethiopia is low and varies across the regions. The level of HIV knowledge, having risky sexual behavior, health insurance, and media were some of the significant factors. Therefore, giving due consideration to these factors worth boosting voluntary HIV counseling and testing uptake, which is an integral component of the strategies to efficiently prevent and control the disease.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 87%

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HIV Voluntary Counseling and Testing Uptake and Associated Factors among Sexually Active Men in Ethiopia: Evidence from the 2016 EDHS Using Multilevel Modeling

Kabeta

Feyasa

Nigatu

2020

Preprint

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“…We allow for changes in this ratio from 2005 and 2010 to account for potential scaling-up of prevention of mother-to-child transmission programs in sub-Saharan Africa countries [18,19] , which could have influenced sex differences in HIV testing uptake. The term Aki is the age-and sex-specific HIV testing rate ratio for ages 15-24 (i=1), 25-34 (i=2), 34-49 (i=3), and 50+ (i=4) age groups, which are assumed to be time-invariant [8,14,20,21] .…”

Section: Model Specification For Hiv Testingmentioning

confidence: 99%

National HIV testing and diagnosis coverage in sub-Saharan Africa: a new modeling tool for estimating the “first 90” from program and survey data

Maheu‐Giroux

Marsh

Doyle

et al. 2019

Preprint

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Objective: HIV testing services (HTS) are a crucial component of national HIV responses. Learning one's HIV diagnosis is the entry point to accessing life-saving antiretroviral treatment and care. Recognizing the critical role of HTS, the Joint United Nations Programme on HIV/AIDS (UNAIDS) launched the 90-90-90 targets stipulating that by 2020, 90% of people living with HIV know their status, 90% of those who know their status receive antiretroviral therapy, and 90% of those on treatment have a suppressed viral load. Countries will need to regularly monitor progress on these three indicators. Estimating the proportion of people living with HIV who know their status (i.e., the "first 90"), however, is difficult. Methods:We developed a mathematical model (henceforth referred to as "F90") that formally synthesizes population-based survey and HTS program data to estimate HIV status awareness over time. The proposed model uses country-specific HIV epidemic parameters from the standard UNAIDS Spectrum model to produce outputs that are consistent with other national HIV estimates. The F90 model provides estimates of HIV testing history, diagnosis rates, and knowledge of HIV status by age and sex. We validate the F90 model using both in-sample comparisons and out-of-sample predictions using data from three countries: Côte d'Ivoire, Malawi, and Mozambique. Results: In-sample comparisons suggest that the F90 model can accurately reproduce longitudinal sex-specific trends in HIV testing. Out-of-sample predictions of the fraction of PLHIV ever tested over a 4-to-6-year time horizon are also in good agreement with empirical survey estimates. Importantly, out-of-sample predictions of HIV knowledge are consistent (i.e., within 4% points) with those of the fully calibrated model in the three countries, when HTS program data are included. The F90 model's predictions of knowledge of status are higher than available selfreported HIV awareness estimates, however, suggesting -in line with previous studies-that these self-reports could be affected by non-disclosure of HIV status awareness. Conclusion: Knowledge of HIV status is a key indicator to monitor progress, identify bottlenecks, and target HIV responses. The F90 model can help countries track progress towards their "first 90" by leveraging surveys of HIV testing behaviors and annual HTS program data.

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“…Determinants of HIV testing among men has been studied in several reports , including analyses of Demographic and Health Surveys (DHS) . Existing evidence shows that men who were younger , had less education , did not have an occupation , had stigmatising views of HIV and who lacked HIV knowledge were more likely to report never testing for HIV. In this study, we sought to characterize men who had never tested for HIV in sub‐Saharan Africa, understand the factors associated with not testing, and measure men's uptake and positivity rates when offered HIV testing in a survey setting.…”

Section: Introductionmentioning

confidence: 99%

Who are the missing men? Characterising men who never tested for HIV from population‐based surveys in six sub‐Saharan African countries

et al. 2019

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Introduction We sought to characterize men who had never tested for HIV, understand factors associated with not testing, and measure survey HIV test uptake among never testers. We analysed nationally representative Demographic and Health Surveys of six African countries from 2013 to 2016: Ethiopia, Malawi, Zimbabwe, Rwanda, Lesotho and Zambia. Methods Eligible men were household residents or overnight visitors aged 15 to 59 years. We analysed questionnaire responses on HIV testing, known behavioural risk factors, and corresponding HIV laboratory results. We used survey‐weighted logistic regression to identify factors associated with never testing for HIV. Results Approximately double the proportion of men had never tested for HIV compared to women (Malawi: 30% vs. 17%, p < 0.0001; Zimbabwe: 35% vs. 19%, p < 0.0001; Lesotho: 34% vs. 15%, p < 0.0001; Zambia: 36% vs. 20%, p < 0.0001); although, less of a differential existed in Ethiopia (54% vs. 56%, p = 0.12) and Rwanda (19% vs. 14%, p < 0.0001). When offered a test during the survey, 85% to 99% of sexually active men who reported never previously testing, accepted testing. HIV positivity ranged from <0.05% to 14% for never tested men. After adjusting for age, factors associated with never having tested for HIV were never being married (aOR range: 1.46 to 10.39), not having children (aOR: 1.36 to 3.59) and lower education (less than primary education aOR: 2.77 to 5.59). Conclusions Although higher proportions of men than women had never tested for HIV, 85% to 99% of men did accept a test when offered. Finding opportunities to offer HIV testing to single men without children, older men who have never tested, and those disadvantaged with less schooling and employment, alongside other facility and community‐based services, will be important in identifying those living with undiagnosed HIV and improving men's health.

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Uptake of HIV testing in Burkina Faso: an assessment of individual and community-level determinants

Cited by 63 publications

References 43 publications

HIV Voluntary Counseling and Testing Uptake and Associated Factors among Sexually Active Men in Ethiopia: Evidence from the 2016 EDHS Using Multilevel Modeling

HIV Voluntary Counseling and Testing Uptake and Associated Factors among Sexually Active Men in Ethiopia: Evidence from the 2016 EDHS Using Multilevel Modeling

National HIV testing and diagnosis coverage in sub-Saharan Africa: a new modeling tool for estimating the “first 90” from program and survey data

Who are the missing men? Characterising men who never tested for HIV from population‐based surveys in six sub‐Saharan African countries

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