Sabin Nsanzimana1, Steve Kanters2, Eric Remera3, Jamie I Forrest2, Agnes Binagwaho4, Jeanine Condo5, Edward J Mills6. 1. Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda; Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland. Electronic address: nsabinco@gmail.com. 2. Global Evaluative Sciences, Vancouver, BC, Canada; School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada. 3. Institute of HIV Disease Prevention and Control, Rwanda Biomedical Centre, Kigali, Rwanda. 4. Ministry of Health, Government of Rwanda, Kigali, Rwanda; Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA; Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. 5. School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda. 6. Global Evaluative Sciences, Vancouver, BC, Canada; School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Abstract
BACKGROUND: Rwanda has made remarkable progress towards HIV care programme with strong national monitoring and surveillance. Knowledge about the HIV care continuum model can help to improve outcomes in patients. We aimed to quantify engagement, mortality, and loss to follow-up of patients along the HIV care continuum in Rwanda in 2013. METHODS: We collated data for individuals with HIV who participated in the national HIV care programme in Rwanda and calculated the numbers of individuals or proportions of the population at each stage and the transition probabilities between stages of the continuum. We calculated factors associated with mortality and loss to follow-up by fitting Cox proportional hazards regression models, one for the stage of care before antiretroviral therapy (ART) initiation and another for stage of care during ART. FINDINGS: An estimated 204,899 individuals were HIV-positive in Rwanda in 2013. Among these individuals, 176,174 (86%) were in pre-ART or in ART stages and 129,405 (63%) had initiated ART by the end of 2013. 82·1% (95% CI 80·7-83·4) of patients with viral load measurements (n=3066) were virally suppressed (translating to 106,371 individuals or 52% of HIV-positive individuals). Mortality was 0·6% (304 patients) in the pre-ART stage and 1·0% (1255 patients) in the ART stage; 2247 (3·9%) patients were lost to follow-up in pre-ART stage and 2847 (2·2%) lost in ART stage. Risk factors for mortality among patients in both pre-ART and ART stages included older age, CD4 cell count at initiation, and male sex. Risk factors for loss to follow-up among patients at both pre-ART and ART stages included younger age (age 10-29 year) and male sex. INTERPRETATION: The HIV care continuum is a multitrajectory pathway in which patients have many opportunities to leave and re-engage in care. Knowledge about the points at which individuals are most likely to leave care could improve large-scale delivery of HIV programmes. FUNDING: The Bill & Melinda Gates Foundation.
BACKGROUND: Rwanda has made remarkable progress towards HIV care programme with strong national monitoring and surveillance. Knowledge about the HIV care continuum model can help to improve outcomes in patients. We aimed to quantify engagement, mortality, and loss to follow-up of patients along the HIV care continuum in Rwanda in 2013. METHODS: We collated data for individuals with HIV who participated in the national HIV care programme in Rwanda and calculated the numbers of individuals or proportions of the population at each stage and the transition probabilities between stages of the continuum. We calculated factors associated with mortality and loss to follow-up by fitting Cox proportional hazards regression models, one for the stage of care before antiretroviral therapy (ART) initiation and another for stage of care during ART. FINDINGS: An estimated 204,899 individuals were HIV-positive in Rwanda in 2013. Among these individuals, 176,174 (86%) were in pre-ART or in ART stages and 129,405 (63%) had initiated ART by the end of 2013. 82·1% (95% CI 80·7-83·4) of patients with viral load measurements (n=3066) were virally suppressed (translating to 106,371 individuals or 52% of HIV-positive individuals). Mortality was 0·6% (304 patients) in the pre-ART stage and 1·0% (1255 patients) in the ART stage; 2247 (3·9%) patients were lost to follow-up in pre-ART stage and 2847 (2·2%) lost in ART stage. Risk factors for mortality among patients in both pre-ART and ART stages included older age, CD4 cell count at initiation, and male sex. Risk factors for loss to follow-up among patients at both pre-ART and ART stages included younger age (age 10-29 year) and male sex. INTERPRETATION: The HIV care continuum is a multitrajectory pathway in which patients have many opportunities to leave and re-engage in care. Knowledge about the points at which individuals are most likely to leave care could improve large-scale delivery of HIV programmes. FUNDING: The Bill & Melinda Gates Foundation.
Authors: Geri R Donenberg; Mardge H Cohen; Charles Ingabire; Mary Fabri; Erin Emerson; Ashley D Kendall; Eric Remera; Olivier Manzi; Sabin Nsanzimana Journal: J Acquir Immune Defic Syndr Date: 2019-12 Impact factor: 3.731
Authors: Lillian B Brown; Diane V Havlir; James Ayieko; Florence Mwangwa; Asiphas Owaraganise; Dalsone Kwarisiima; Vivek Jain; Theodore Ruel; Tamara Clark; Gabriel Chamie; Elizabeth A Bukusi; Craig R Cohen; Moses R Kamya; Maya L Petersen; Edwin D Charlebois Journal: AIDS Date: 2016-11-28 Impact factor: 4.177
Authors: Ayesha B M Kharsany; Cherie Cawood; David Khanyile; Lara Lewis; Anneke Grobler; Adrian Puren; Kaymarlin Govender; Gavin George; Sean Beckett; Natasha Samsunder; Savathree Madurai; Carlos Toledo; Zawadi Chipeta; Mary Glenshaw; Sara Hersey; Quarraisha Abdool Karim Journal: Lancet HIV Date: 2018-07-17 Impact factor: 12.767
Authors: Meredith E Clement; Lauren F Collins; Julius M Wilder; Michael Mugavero; Taryn Barker; Susanna Naggie Journal: Infect Dis Clin North Am Date: 2018-06 Impact factor: 5.982
Authors: Yiqun T Chen; Lillian Brown; Gabriel Chamie; Dalsone Kwarisiima; James Ayieko; Jane Kabami; Edwin Charlebois; Tamara Clark; Moses Kamya; Diane V Havlir; Maya L Petersen; Laura B Balzer Journal: Epidemiology Date: 2021-07-01 Impact factor: 4.860