HIV rapid test performance among health facilities enrolled in HIV rapid test quality improvement initiative (RTQII) in Ethiopia.

BACKGROUND: As the Human Immunodeficiency Virus (HIV) rapid testing services expanded to reach the global target that 95% of people living with the virus will know their status by 2030, ensuring the quality of those services becomes critical. This study was conducted to assess the performance of HIV Rapid testing at sites in health facilities that were enrolled in the Rapid Test Quality Improvement Initiative (RTQII) in Ethiopia. METHODS: Characterized HIV proficiency testing (PT) panels of Dried Tube Specimen (DTS) were prepared, verified, and distributed to testing sites from August to December 2019. In addition on-site evaluation of HIV testing sites (HTSs) was conducted using a checklist to assess testing conditions. For proficiency testing, the study included 159 HIV testing sites (HTSs) in 41 Health facilities (HFs) in five administrative regions and two city administrations. The collected data was analyzed by SPSS version 20 and chi-square test was applied to identify the association between acceptable performance and contributing factors. Testing sites with 100% PT score as well as conducting the test with adherence to the National HIV Testing Algorithm were considered acceptable. RESULTS: The overall acceptable performance (100% PT score with the correct algorithm followed) was found to be 62% while 12% scored 80% and 11% scored between 20 and 60%. The rest 15% were not considered as acceptable due to failure to adhere to the National HIV Testing Algorithm. Testing sites that participated in External Quality Assessment/Proficiency Testing schemes have shown better performance than those that did not participate with 70% and 56% performance respectively (p = 0.057).

SARS-CoV-2 Genome Sequence Obtained from Ethiopia.

The coding-complete severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome sequences from 15 nasopharyngeal swabs collected in Addis Ababa, Ethiopia, during the period from December 2020 to March 2021 were determined using Illumina MiSeq technology. A sequence analysis identified that the B.1 SARS-CoV-2 lineage was most prevalent with the worrying emergence of B.1.1.7 in June 2021.

Expanding molecular diagnostic capacity for COVID-19 in Ethiopia: operational implications, challenges and lessons learnt.

Efforts towards slowing down coronavirus (COVID-19) transmission and reducing mortality have focused on timely case detection, isolation and treatment. Availability of laboratory COVID-19 testing capacity using reverse-transcriptase polymerase chain reaction (RT-PCR) was essential for case detection. Hence, it was critical to establish and expand this capacity to test for COVID-19 in Ethiopia. To this end, using a three-phrased approach, potential public and private laboratories with RT-PCR technology were assessed, capacitated with trained human resource and equipped as required. These laboratories were verified to conduct COVID-19 testing with quality assurance checks regularly conducted. Within a 10-month period, COVID-19 testing laboratories increased from zero to 65 in all Regional States with the capacity to conduct 18,454 tests per day. The success of this rapid countrywide expansion of laboratory testing capacity for COVID-19 depended on some key operational implications: the strong laboratory coordination network within the country, the use of non-virologic laboratories, investment in capacity building, digitalization of the data for better information management and establishing quality assurance checks. A weak supply chain for laboratory reagents and consumables, differences in the brands of COVID-19 test kits, frequent breakdowns of the PCR machines and inadequate number of laboratory personnel following the adaption of a 24/7 work schedule were some of the challenges experienced during the process of laboratory expansion. Overall, we learn that multisectoral involvement of laboratories from non-health sectors, an effective supply chain system with an insight into the promotion of local production of laboratory supplies were critical during the laboratory expansion for COVID-19 testing. The consistent support from WHO and other implementing partners to Member States is needed in building the capacity of laboratories across different diagnostic capabilities in line with International Health Regulations. This will enable efficient adaptation to respond to future public health emergencies.

Performance evaluation of malaria microscopists working at rechecking laboratories in Ethiopia.

BACKGROUND: Microscopic diagnosis of Giemsa-stained thick and thin blood films has remained the standard laboratory method for diagnosing malaria. High quality performance of microscopists that examine blood slides in health facilities remains critically important. MATERIALS AND METHODS: A cross-sectional study was conducted to assess the performance of 107 malaria microscopists working at 23 malaria rechecking laboratories in Ethiopia. A set of 12 blood film slides was distributed to each microscopist. Data was collected and exported to SPSS version 20 for analysis. Chi-square, sensitivity, specificity, percent agreement, and kappa scores were calculated to assess performance in detecting and identification of Plasmodium species. RESULTS: The mean age of the participants was 30 ± 5 yrs and most of them (54; 50.5%) were working at regional reference laboratories. Overall, the sensitivity of participants in detecting and identifying malaria parasite species was 96.8% and 56.7%, respectively. The overall agreement on detection and identification of malaria species was 96.8% (Kappa = 0.9) and 64.8% (Kappa = 0.33), respectively. The least accurately identified malaria parasite species was P. malariae (3/107; 2.8%) followed by P. ovale (35/107; 32.7%). Participants working at hospital laboratories had the highest percentage (72.3 %, Kappa=0.51) of accurate species identification. Study participants that had participated in malaria microscopy and quality assurance trainings were significantly better at quantifying parasite densities (P<0.001). CONCLUSION: The accuracy of parasite identification and quantification differed strongly between participants and expert microscopists. Therefore, regular competency assessment and training for malaria microscopists should be mandatory to assure proper diagnosis and management of malaria in Ethiopia.