摘要
Background: HIV Testing Services (HTS) is a full range of services (e.g. counselling and post-test referrals) that are offered together with HIV testing. It is an important prevention strategy and the gateway to treatment. The national targets in 2016 were to test 1.1 million people of which 54% was achieved. We determined trends of HTS in Zimbabwe from 2007 to 2016. Methods: A secondary dataset analysis was conducted using National Aids Council Core-Output Indicators dataset. Variables captured include total and repeat tests, counselling and referrals. Microsoft excel and Epi Info was used to generate frequencies, percentages and conduct chi square test for trends. Panda-Class Libraries was to attain estimates of HTS uptake till 2020. We used χ2 and p-values for statistical significance. Results: All (10,847.223) records were analysed. HIV tests per year increased from 340,705 in 2007, to 1,974,795 in 2015 (χ2 0.10492, p-value 0.74615). In 2007, 31% (n = 106,884) clients tested positive whilst in 2016 only 7% (n = 121,196) were positive (χ2 0.01166, p-value 0.91402). The 25 - 49 year age-group tested consistently highest throughout the 10year period (χ2 0.0558 p-value 0.813). The 15 - 24 year age-group had the highest yield (11% in 2015). Females (χ2 0.1074, p-value 0.743) consistently tested higher than males (χ2 0.0614, p-value 0.804). From 2007 to 2013 women had higher yields but by September 2016 males had a higher positivity of 8% (p-value χ2 0.658 p-value = 0.417). We estimate that 179,935 people living with HIV will know their status by 2020. Conclusion: HIV tests in Zimbabwe have increased but yield has decreased. Increase in repeat tests may be an indication of exhaustion of particular HTS strategies. Following this analysis it was recommended that HTS utilize various models such as HIV self-test to cater for populations with high yields.
Background: HIV Testing Services (HTS) is a full range of services (e.g. counselling and post-test referrals) that are offered together with HIV testing. It is an important prevention strategy and the gateway to treatment. The national targets in 2016 were to test 1.1 million people of which 54% was achieved. We determined trends of HTS in Zimbabwe from 2007 to 2016. Methods: A secondary dataset analysis was conducted using National Aids Council Core-Output Indicators dataset. Variables captured include total and repeat tests, counselling and referrals. Microsoft excel and Epi Info was used to generate frequencies, percentages and conduct chi square test for trends. Panda-Class Libraries was to attain estimates of HTS uptake till 2020. We used χ2 and p-values for statistical significance. Results: All (10,847.223) records were analysed. HIV tests per year increased from 340,705 in 2007, to 1,974,795 in 2015 (χ2 0.10492, p-value 0.74615). In 2007, 31% (n = 106,884) clients tested positive whilst in 2016 only 7% (n = 121,196) were positive (χ2 0.01166, p-value 0.91402). The 25 - 49 year age-group tested consistently highest throughout the 10year period (χ2 0.0558 p-value 0.813). The 15 - 24 year age-group had the highest yield (11% in 2015). Females (χ2 0.1074, p-value 0.743) consistently tested higher than males (χ2 0.0614, p-value 0.804). From 2007 to 2013 women had higher yields but by September 2016 males had a higher positivity of 8% (p-value χ2 0.658 p-value = 0.417). We estimate that 179,935 people living with HIV will know their status by 2020. Conclusion: HIV tests in Zimbabwe have increased but yield has decreased. Increase in repeat tests may be an indication of exhaustion of particular HTS strategies. Following this analysis it was recommended that HTS utilize various models such as HIV self-test to cater for populations with high yields.
