Cost-effectiveness of incorporating Ebola prediction score tools and rapid diagnostic tests into a screening algorithm: A decision analytic model.

BACKGROUND: No distinctive clinical signs of Ebola virus disease (EVD) have prompted the development of rapid screening tools or called for a new approach to screening suspected Ebola cases. New screening approaches require evidence of clinical benefit and economic efficiency. As of now, no evidence or defined algorithm exists. OBJECTIVE: To evaluate, from a healthcare perspective, the efficiency of incorporating Ebola prediction scores and rapid diagnostic tests into the EVD screening algorithm during an outbreak. METHODS: We collected data on rapid diagnostic tests (RDTs) and prediction scores' accuracy measurements, e.g., sensitivity and specificity, and the cost of case management and RDT screening in EVD suspect cases. The overall cost of healthcare services (PPE, procedure time, and standard-of-care (SOC) costs) per suspected patient and diagnostic confirmation of EVD were calculated. We also collected the EVD prevalence among suspects from the literature. We created an analytical decision model to assess the efficiency of eight screening strategies: 1) Screening suspect cases with the WHO case definition for Ebola suspects, 2) Screening suspect cases with the ECPS at -3 points of cut-off, 3) Screening suspect cases with the ECPS as a joint test, 4) Screening suspect cases with the ECPS as a conditional test, 5) Screening suspect cases with the WHO case definition, then QuickNavi™-Ebola RDT, 6) Screening suspect cases with the ECPS at -3 points of cut-off and QuickNavi™-Ebola RDT, 7) Screening suspect cases with the ECPS as a conditional test and QuickNavi™-Ebola RDT, and 8) Screening suspect cases with the ECPS as a joint test and QuickNavi™-Ebola RDT. We performed a cost-effectiveness analysis to identify an algorithm that minimizes the cost per patient correctly classified. We performed a one-way and probabilistic sensitivity analysis to test the robustness of our findings. RESULTS: Our analysis found dual ECPS as a conditional test with the QuickNavi™-Ebola RDT algorithm to be the most cost-effective screening algorithm for EVD, with an effectiveness of 0.86. The cost-effectiveness ratio was 106.7 USD per patient correctly classified. The following algorithms, the ECPS as a conditional test with an effectiveness of 0.80 and an efficiency of 111.5 USD per patient correctly classified and the ECPS as a joint test with the QuickNavi™-Ebola RDT algorithm with an effectiveness of 0.81 and a cost-effectiveness ratio of 131.5 USD per patient correctly classified. These findings were sensitive to variations in the prevalence of EVD in suspected population and the sensitivity of the QuickNavi™-Ebola RDT. CONCLUSIONS: Findings from this study showed that prediction scores and RDT could improve Ebola screening. The use of the ECPS as a conditional test algorithm and the dual ECPS as a conditional test and then the QuickNavi™-Ebola RDT algorithm are the best screening choices because they are more efficient and lower the number of confirmation tests and overall care costs during an EBOV epidemic.

Determinants of the use of contraceptive methods by adolescents in the Democratic Republic of the Congo: results of a cross-sectional survey.

BACKGROUND: Family planning (FP) is an effective strategy to prevent unintended pregnancies of adolescents. We aimed at identifying the socio-demographic factors underlying the low use of contraceptive methods by teenage girls in the Democratic Republic of the Congo (DRC). METHODS: A secondary analysis targeting teenage girls aged 15-19 was carried out on the Performance, Monitoring and Accountability project 2020 (PMA 2020) round 7 data, collected in Kinshasa and Kongo Central provinces. The dependent variable was the "use of contraceptive methods by sexually active teenage girls", calculated as the proportion of teenagers using modern, traditional or any contraceptive methods. Independent variables were: level of education, age, province, religion, marital status, number of children, knowledge of contraceptive methods and household income. Pearson's chi-square and logistic regression tests helped to measure the relationship between variables at the alpha significance cut point of 0.05. RESULTS: A total of 943 teenagers were interviewed; of which 22.6, 18.1 and 19.9% ​​used any contraceptive method respectively in Kinshasa, Kongo Central and overall. The use of modern contraceptive methods was estimated at 9.9, 13.4 and 12.0% respectively in Kinshasa, Kongo Central and overall. However, the use of traditional methods estimated at 8.0% overall, was higher in Kinshasa (12.7%) and lower (4.7%) in Kongo Central (p < .001). Some factors such as poor knowledge of contraceptive methods (aOR = 8.868; 95% CI, 2.997-26.240; p < .001); belonging to low-income households (aOR = 1.797; 95% CI, 1.099-2.940; p = .020); and living in Kongo central (aOR = 3.170; 95% CI, 1.974-5.091; p < .001) made teenagers more likely not to use any contraceptive method. CONCLUSION: The progress in the use of contraceptive methods by adolescent girls is not yet sufficient in the DRC. Socio-demographic factors, such as living in rural areas, poor knowledge of FP, and low-income are preventing teenagers from using FP methods. These findings highlight the need to fight against such barriers; and to make contraceptive services available, accessible, and affordable for teenagers.

The use of contraceptive methods remains low among adolescents aged 15 to 19 in the Democratic Republic of the Congo. However, family planning (FP) methods can help to prevent unintended pregnancies. This study aimed at identifying the socio-demographic factors that prevent teenage girls from using FP methods. We analyzed the data from the Performance, Monitoring and Accountability project (PMA 2020), seventh round, collected in Kinshasa and Kongo Central provinces. The use of contraceptive methods by sexually active adolescents was measured according to the level of education, age, province, religion, marital status, number of children, knowledge of contraceptive methods and household income. For the 943 adolescent girls interviewed, the use of any contraceptive method was calculated at 22.6, 18.1 and 19.9%, respectively in Kinshasa, Kongo Central and overall. The use of traditional methods was estimated at 8.0% overall, higher in Kinshasa (12.7%) and lower (4.7%) in Kongo Central. However, the use of modern contraceptive methods was estimated at 9.9, 13.4 and 12.0% respectively in Kinshasa, Kongo Central and overall. Poor knowledge of contraceptive methods; low-income and living in Kongo central province were the factors associated with the low use of any contraceptive method. In conclusion, the progress in the use of contraceptive methods by adolescent girls is not yet sufficient, due to some socio-demographic barriers. These results suggest to fight against such factors; and to make contraceptive services available, accessible, and affordable for teenagers.