Tanzania HIV/AIDS and Malaria Indicator Survey ... - Measure DHS

Table 9.1—ContinuedBackgroundcharacteristicPercentageinterviewedand tested 1Testing status, women and menPercentage Other/missing 2interviewed,refused toprovide Percentageblood interviewedTOTALPercentagenotinterviewed Total NumberResidenceUrban 78.6 11.8 0.2 9.4 100.0 4,053Rural 87.1 5.6 0.1 7.1 100.0 13,617Mainland/ZanzibarMainland 83.7 8.3 0.2 7.8 100.0 12,861Mainland – Urban 75.3 14.8 0.2 9.7 100.0 2,979Dar es Salaam City 69.0 18.7 0.4 11.9 100.0 814Other Urban 77.6 13.3 0.1 8.9 100.0 2,165Mainland – Rural 86.3 6.3 0.2 7.2 100.0 9,882Zanzibar 88.9 3.7 0.1 7.3 100.0 4,809Region/IslandArusha 71.6 19.2 0.0 9.2 100.0 574Dar es Salaam 68.6 19.1 0.3 11.9 100.0 873Dodoma 85.4 9.2 0.2 5.2 100.0 500Iringa 87.6 5.5 0.2 6.7 100.0 508Kagera 93.3 1.6 0.0 5.0 100.0 615Kigoma 87.0 2.7 0.4 9.9 100.0 706Kilimanjaro 89.4 4.2 0.0 6.5 100.0 602Lindi 89.8 2.6 0.2 7.4 100.0 541Manyara 85.6 11.3 0.3 2.9 100.0 631Mara 88.2 4.9 0.1 6.8 100.0 719Mbeya 89.7 5.7 0.0 4.6 100.0 582Morogoro 81.6 12.7 0.0 5.7 100.0 473Mtwara 78.0 13.2 0.2 8.6 100.0 486Mwanza 83.8 6.9 0.1 9.2 100.0 743Pwani 78.7 12.9 0.2 8.2 100.0 403Rukwa 77.7 11.1 0.2 11.0 100.0 637Ruvuma 85.0 5.8 0.1 9.0 100.0 668Shinyanga 88.6 7.2 0.1 4.0 100.0 773Singida 88.5 5.0 0.2 6.2 100.0 515Tabora 81.8 4.9 0.1 13.2 100.0 729Tanga 81.3 9.3 0.3 9.1 100.0 583Pemba 88.9 3.3 0.1 7.7 100.0 2,680Unguja 88.9 4.3 0.1 6.7 100.0 2,129ZoneWestern 85.8 5.0 0.2 8.9 100.0 2,208Northern 82.1 10.9 0.2 6.8 100.0 2,390Central 87.0 7.1 0.2 5.7 100.0 1,015Southern Highlands 84.7 7.6 0.1 7.6 100.0 1,727Lake 88.2 4.6 0.1 7.1 100.0 2,077Eastern 74.4 16.0 0.2 9.4 100.0 1,749Southern 84.5 6.9 0.2 8.4 100.0 1,695Zanzibar 88.9 3.7 0.1 7.3 100.0 4,809Total 85.1 7.1 0.2 7.7 100.0 17,6701Includes all dried blood spot (DBS) samples tested at the lab and for which there is a result, i.e. positive,negative, or indeterminate. Indeterminate means that the sample went through the entire algorithm, but thefinal result was inconclusive.2Includes: 1) other results of blood collection (e.g., technical problem in the field), 2) lost specimens,3) non-corresponding bar codes, and 4) other lab results such as blood not tested for technical reason, notenough blood to complete the algorithm, etc.Table 9.2 shows coverage of HIV testing by background characteristics. The data show thatresponse rates among women are remarkably consistent across age groups, while among men, theyshow a U-shaped pattern, being highest among those aged 15-19 and 45-49. There is no clear patternby education. However, with respect to wealth quintile, both women and men in the highest quintilewere less likely to provide samples for HIV testing than those in the lower quintiles. In almost everycategory of background characteristics, women were more likely to be tested than men.Coverage of HIV testing in the 2007-08 THMIS is higher than that in the 2003–04 THIS,increasing from 84 to 90 percent for women and from 77 to 80 percent for men in Mainland Tanzania.HIV Prevalence | 113