2019
DOI: 10.1097/qad.0000000000002386
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National HIV testing and diagnosis coverage in sub-Saharan Africa

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Cited by 51 publications
(37 citation statements)
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“…First, the Southern and Eastern African regions are most affected by HIV in the world ( S7 Table ) and are home to the largest number of people living with HIV (20.6 million) [ 1 ]. In line with this, several countries in the region such as Botswana, Kenya, Uganda, Malawi, and Rwanda have not only implemented national campaigns to encourage uptake of HIV testing and counselling (HTC), they have also implemented effective and efficient PMTCT, ensuring that most pregnant women are tested for HIV and those diagnosed are placed on treatment [ 33 35 ]. They have deployed community-based testing, which supports provider-initiated testing.…”
Section: Discussionmentioning
confidence: 99%
“…First, the Southern and Eastern African regions are most affected by HIV in the world ( S7 Table ) and are home to the largest number of people living with HIV (20.6 million) [ 1 ]. In line with this, several countries in the region such as Botswana, Kenya, Uganda, Malawi, and Rwanda have not only implemented national campaigns to encourage uptake of HIV testing and counselling (HTC), they have also implemented effective and efficient PMTCT, ensuring that most pregnant women are tested for HIV and those diagnosed are placed on treatment [ 33 35 ]. They have deployed community-based testing, which supports provider-initiated testing.…”
Section: Discussionmentioning
confidence: 99%
“… 11 Aggregate HIV testing services data including the number of HIV tests done and number of HIV diagnoses are routinely collected, but reports are often not deduplicated and rates of retesting and re-diagnosis can be high. 12 , 13 Household surveys provide cross-sectional data about testing history by HIV status at roughly 5-year intervals in most countries, but only a few surveys directly ask respondents if they are aware of their HIV status, a sensitive question that has high potential for non-disclosure. 14 These challenges are compounded by imprecise estimates for the number of new infections by age, sex, and geographical area, and by incomplete ascertainment of mortality among the previously diagnosed and undiagnosed population.…”
Section: Introductionmentioning
confidence: 99%
“…We synthesised data from 40 sub-Saharan African countries about HIV testing history from population-based surveys, HIV testing programme data, and HIV epidemic indicators using a mathematical model. 12 In addition to trends in knowledge of status and diagnosis gaps, we estimated time from HIV infection to diagnosis, probability of being tested before reaching a given time since infection or CD4 cell count, percentage of tests found positive, diagnosis yield, and proportion of new diagnoses among positive tests.…”
Section: Introductionmentioning
confidence: 99%
“…Our study had a number of limitations. First, we cannot be sure that encounters with a positive test result documented were new diagnoses of HIV infection, as stigma and social desirability bias may lead some clients to report their previous test result as negative even if it was positive 43 . Second, social desirability bias may also have resulted in over-reporting of previous HIV test uptake.…”
Section: Discussionmentioning
confidence: 99%