Achieving the UNAIDS goals by 2030 in people living with HIV: A simulation model to support the prioritization of health care interventions.

Methods: The model was carried out in four phases involving a multidisciplinary expert panel: (1) literature review; (2) selection/definition of the interventions and their effectiveness; (3) consensus meeting; and (4) development of an analytical decision model to project the impact of implementing/strengthening these interventions to improve the HIV continuum of care, corresponding to 2017-2019 (87% diagnosed, 97% on treatment, 90% with viral suppression), through the creation of different scenarios for 2020-2030. A total of 19 interventions were selected based on expanding the offer of HIV rapid tests and implementing training/peer programmes, electronic alerts, multidisciplinary care, and mHealth, among others. The effectiveness of the interventions was defined by the percentage increases in diagnosis, treatment, and viral suppression after their implementation, targeting the entire population and specific groups at high-risk (men who have sex with men, migrants, female sex workers, transgender people, and people who inject drugs).

Results: Implementing eight interventions for diagnosis, three for treatment, and eight for viral suppression for the target populations during 2020-2030 would increase the continuum of care to approximately 100% diagnosed (remaining residual undetectable cases), 98% treated, and 96% virologically suppressed.

Conclusion: Implementing eight interventions for diagnosis, three for treatment, and eight for viral suppression for the target populations during 2020-2030 would increase the continuum of care to approximately 100% diagnosed (remaining residual undetectable cases), 98% treated, and 96% virologically suppressed.