Introduction The year 2017 marked a transition period with the end of the implementation of Cameroon´s 2014-2017 HIV/AIDS National Strategic Plan (NSP) and the development of the 2018-2022 NSP. We assessed barriers and challenges to service delivery and uptake along the HIV care cascade in Cameroon to inform decision making within the framework of the new NSP, to achieve the UNAIDS 90-90-90 target. Methods We conducted a cross sectional descriptive study nationwide, enrolling HIV infected patients and staff. Data were collected on sociodemographic characteristics, HIV testing, antiretroviral therapy and viral load testing delivery and uptake and factors that limit their access. Results A total of 137 staff and 642 people living with HIV (PLHIV) were interviewed. Of 642 PLHIV with known status, 339 (53%) repeated their HIV test at least once, with range: 1-10 and median: 2 (IQR: 1-3). Having attained secondary level of education (OR: 2.07, 95% CI: 1.04-4.14; P=0.04) or more (OR: 2.91, 95% CI: 1.16-7.28; P=0.02) were significantly associated with repeat testing. Psychological (refusal of service uptake and existence of HIV), community-level (stigmatization and fear of confidentiality breach) and commodity stock-outs “HIV test kits (21%), antiretrovirals (ARVs) (71.4%), viral load testing reagents (100%)” are the major barriers to service delivery and uptake along the cascade. Conclusion We identified individual, community-level, socio-economic and health care system related barriers which constitute persistent bottlenecks in HIV service delivery and uptake and a high rate of repeat testing by PLHIV with known status. Addressing all these accordingly can help the country achieve the UNAIDS 90-90-90 target.

Objective: In 2014, the Joint United Nations Program on HIV and AIDS (UNAIDS) and partners set the '90-90-90 targets' . Many countries are facing the challenge of estimating the first 90. Our objective was to propose an alternative modelling procedure, and to discuss its usefulness for taking into account duplication. Results:For deduplication, we identified two important ingredients: the probability for an HIV+ person of being re-tested during the period and average number of HIV+ tests. Other adjusted factors included: the false positive probability; the death and emigration probabilities. The uncertainty of the adjusted estimate was assessed using the plausibility bounds and sensitivity analysis. The proposed method was applied to Cameroon for the period 1987-2016. Of the 560,000 people living with HIV estimated from UNAIDS in 2016; 504,000 out to know their status. The model estimates that 380,464 [379,257, 381,674] know their status (75.5%); thus 179,536 who do not know their status should be sought through the intensification of testing. These results were subsequently used for constructing the full 2016 Cameroon HIV cascade for identifying programmatic gap, prioritizing the resources, and guiding the strategies of the 2018-2022 National Strategy Plan and funding request.