Lu I. J., Silhol R., d'Elbée M., Boily M. C., Soni N., Ky-Zerbo O., Vautier A., Fosto A. S., Badiane K., Traoré M., Terris-Prestholt F., Larmarange Joseph, Maheu-Giroux M., Atlas Team.   (2024).     Cost-effectiveness analysis of community-led HIV self-testing among key populations in Côte d'Ivoire, Mali, and Senegal.          Journal of the International Aids Society,    27 (7),    p. e26334 [12 p.].     
                        
                                             
                
                                                        
                                        
                        
                            Titre du document
                        
                        Cost-effectiveness analysis of community-led HIV self-testing among key populations in Côte d'Ivoire, Mali, and Senegal
                     
                                        
                                                            
                        
                            Année de publication
                        
                        2024
                     
                                        
                                                            
                                        
                                        
                        
                            Auteurs
                        
                        
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                            Source
                        
                        
                                                            Journal of the International Aids Society,                                                                                        2024, 
                                                                                        27 (7),                                                                                                                                                        p. e26334 [12 p.]                             
                     
                    
                                                            
                                                            
                                                            
                        IntroductionHIV self-testing (HIVST) is a promising strategy to improve diagnosis coverage among key populations (KP). The ATLAS (Auto Test VIH, Libre d'Acc & eacute;der & agrave; la connaissance de son Statut) programme implemented HIVST in three West African countries, distributing over 380,000 kits up between 2019 and 2021, focussing on community-led distribution by KP to their peers and subsequent secondary distribution to their partners and clients. We aim to evaluate the cost-effectiveness of community-led HIVST in C & ocirc;te d'Ivoire, Mali and Senegal.MethodsAn HIV transmission dynamics model was adapted and calibrated to country-specific epidemiological data and used to predict the impact of HIVST. We considered the distribution of HIVST among two KP-female sex workers (FSW), and men who have sex with men (MSM)-and their sexual partners and clients. We compared the cost-effectiveness of two scenarios against a counterfactual without HIVST over a 20-year horizon (2019-2039). The ATLAS-only scenario mimicked the 2-year implemented ATLAS programme, whereas the ATLAS-scale-up scenario achieved 95% coverage of HIVST distribution among FSW and MSM by 2025 onwards. The primary outcome is the number of disability-adjusted life-years (DALY) averted. Scenarios were compared using incremental cost-effectiveness ratios (ICERs). Costing was performed using a healthcare provider's perspective. Costs were discounted at 4%, converted to USD 2022 and estimated using a cost-function to accommodate economies of scale.ResultsThe ATLAS-only scenario was highly cost-effective over 20 years, even at low willingness-to-pay thresholds. The median ICERs were 126 (88-210) per DALY averted in C & ocirc;te d'Ivoire, 92 (88-210) in Mali and 27 (88-210) in Senegal. Scaling-up the ATLAS programme would also be cost-effective, and substantial epidemiological impacts would be achieved. The ICERs for the scale-up scenario were 199 (122-338) per DALY averted in C & ocirc;te d'Ivoire, 224 (118-415) in Mali and 61 (18-128) in Senegal.ConclusionsBoth the implemented and the potential scale-up of community-led HIVST programmes in West Africa, where KP are important to overall transmission dynamics, have the potential to be highly cost-effective, as compared to a scenario without HIVST. These findings support the scale-up of community-led HIVST to reach populations that otherwise may not access conventional testing services.
                     
                                                                                                    
                        
                            Plan de classement
                        
                        
                                                            Entomologie médicale / Parasitologie / Virologie [052]
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                                                                                            Santé : aspects socioculturels, économiques et politiques [056]
                                                                                    
                     
                                        
                                                                                                                
                                                                            
                                
                                    Description Géographique
                                
                                
                                    COTE D'IVOIRE ; MALI ; SENEGAL
                                
                             
                                                
                                        
                                                            
                        
                            Localisation
                        
                        Fonds IRD [F B010091133]
                                                    
                     
                                        
                                                            
                        
                            Identifiant IRD
                        
                        
                            fdi:010091133