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Sutcliffe CG, Moyo N, Hamahuwa M, Mutanga JN, van Dijk JH, Hamangaba F, Schue JL, Thuma PE, Moss WJ. The Evolving Pediatric HIV Epidemic in Rural Southern Zambia: The Beneficial Impact of Advances in Prevention and Treatment at a District Hospital From 2007 to 2019. Pediatr Infect Dis J 2023; 42:489-495. [PMID: 36795584 PMCID: PMC10360039 DOI: 10.1097/inf.0000000000003873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
BACKGROUND Remarkable progress has been made in expanding access to services addressing the pediatric HIV epidemic, including programs to prevent mother-to-child transmission, early diagnosis and treatment for children living with HIV. Few long-term data are available from rural sub-Saharan Africa to assess implementation and impact of national guidelines. METHODS Results from 3 cross-sectional studies and 1 cohort study conducted at Macha Hospital in Southern Province, Zambia from 2007 to 2019 were summarized. For infant diagnosis, maternal antiretroviral treatment, infant test results and turnaround times for results were evaluated by year. For pediatric HIV care, the number and age of children initiating care and treatment, and treatment outcomes within 12 months were evaluated by year. RESULTS Receipt of maternal combination antiretroviral treatment increased from 51.6% in 2010-2012 to 93.4% in 2019, and the proportion of infants testing positive decreased from 12.4% to 4.0%. Turnaround times for results returning to clinic varied but were shorter when labs consistently used a text messaging system. The proportion of mothers receiving results was higher when a text message intervention was piloted. The number of children living with HIV enrolled into care and the proportion initiating treatment with severe immunosuppression and dying within 12 months decreased over time. CONCLUSIONS These studies demonstrate the long-term beneficial impact of implementing a strong HIV prevention and treatment program. While expansion and decentralization brought challenges, the program succeeded in decreasing the rate of mother-to-child transmission and ensuring that children living with HIV benefit from access to life-saving treatment.
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Affiliation(s)
- Catherine G. Sutcliffe
- Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, Maryland, USA
| | | | | | | | | | | | - Jessica L. Schue
- Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, Maryland, USA
| | - Philip E. Thuma
- Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, Maryland, USA
- Macha Research Trust, Choma, Zambia
| | - William J. Moss
- Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, Maryland, USA
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le Roux SM, Odayar J, Sutcliffe CG, Salvatore PP, de Broucker G, Dowdy D, McCann NC, Frank SC, Ciaranello AL, Myer L, Vojnov L. Cost-effectiveness of point-of-care versus centralised, laboratory-based nucleic acid testing for diagnosis of HIV in infants: a systematic review of modelling studies. Lancet HIV 2023; 10:e320-e331. [PMID: 37149292 PMCID: PMC10175481 DOI: 10.1016/s2352-3018(23)00029-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 01/31/2023] [Accepted: 02/03/2023] [Indexed: 05/08/2023]
Abstract
BACKGROUND Point-of-care (POC) nucleic acid testing for diagnosis of HIV in infants facilitates earlier initiation of antiretroviral therapy (ART) than with centralised (standard-of-care, SOC) testing, but can be more expensive. We evaluated cost-effectiveness data from mathematical models comparing POC with SOC to provide global policy guidance. METHODS In this systematic review of modelling studies, we searched PubMed, MEDLINE, Embase, the National Health Service Economic Evaluation Database, Econlit, and conference abstracts, combining terms for "HIV" + "infant"/"early infant diagnosis" + "point-of-care" + "cost-effectiveness" + "mathematical models", without restrictions from database inception to July 15, 2022. We selected reports of mathematical cost-effectiveness models comparing POC with SOC for HIV diagnosis in infants younger than 18 months. Titles and abstracts were independently reviewed, with full-text review for qualifying articles. We extracted data on health and economic outcomes and incremental cost-effectiveness ratios (ICERs) for narrative synthesis. The primary outcomes of interest were ICERs (comparing POC with SOC) for ART initiation and survival of children living with HIV. FINDINGS Our search identified 75 records through database search. 13 duplicates were excluded, leaving 62 non-duplicate articles. 57 records were excluded and five were reviewed in full text. One article was excluded as it was not a modelling study, and four qualifying studies were included in the review. These four reports were from two mathematical models from two independent modelling groups. Two reports used the Johns Hopkins model to compare POC with SOC for repeat early infant diagnosis testing in the first 6 months in sub-Saharan Africa (first report, simulation of 25 000 children) and Zambia (second report, simulation of 7500 children). In the base scenario, POC versus SOC increased probability of ART initiation within 60 days of testing from 19% to 82% (ICER per additional ART initiation range US$430-1097; 9-month cost horizon) in the first report; and from 28% to 81% in the second ($23-1609, 5-year cost horizon). Two reports compared POC with SOC for testing at 6 weeks in Zimbabwe using the Cost-Effectiveness of Preventing AIDS Complications-Paediatric model (simulation of 30 million children; lifetime horizon). POC increased life expectancy and was considered cost-effective compared with SOC (ICER $711-850 per year of life saved in HIV-exposed children). Results were robust throughout sensitivity and scenario analyses. In most scenarios, platform cost-sharing (co-use with other programmes) resulted in POC being cost-saving compared with SOC. INTERPRETATION Four reports from two different models suggest that POC is a cost-effective and potentially cost-saving strategy for upscaling of early infant testing compared with SOC. FUNDING Bill & Melinda Gates Foundation, Unitaid, National Institute of Allergy and Infectious Diseases, National Institute of Child Health and Human Development, WHO, and Massachusetts General Hospital Research Scholars.
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Affiliation(s)
- Stanzi M le Roux
- Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
| | - Jasantha Odayar
- Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Catherine G Sutcliffe
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Phillip P Salvatore
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Gatien de Broucker
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David Dowdy
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nicole C McCann
- Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital Boston, MA, USA
| | - Simone C Frank
- Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital Boston, MA, USA
| | - Andrea L Ciaranello
- Medical Practice Evaluation Center, Department of Medicine, Massachusetts General Hospital Boston, MA, USA; Division of Infectious Diseases, Massachusetts General Hospital Boston, MA, USA
| | - Landon Myer
- Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Lara Vojnov
- Global HIV, Hepatitis and STI Programme, World Health Organization, Geneva, Switzerland
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Elsbernd K, Emmert-Fees KMF, Erbe A, Ottobrino V, Kroidl A, Bärnighausen T, Geisler BP, Kohler S. Costs and cost-effectiveness of HIV early infant diagnosis in low- and middle-income countries: a scoping review. Infect Dis Poverty 2022; 11:82. [PMID: 35841117 PMCID: PMC9284833 DOI: 10.1186/s40249-022-01006-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 07/01/2022] [Indexed: 11/25/2022] Open
Abstract
Background Continuing progress in the global pediatric human immunodeficiency virus (HIV) response depends on timely identification and care of infants with HIV. As countries scale-out improvements to HIV early infant diagnosis (EID), economic evaluations are needed to inform program design and implementation. This scoping review aimed to summarize the available evidence and discuss practical implications of cost and cost-effectiveness analyses of HIV EID. Methods We systematically searched bibliographic databases (Embase, MEDLINE and EconLit) and grey literature for economic analyses of HIV EID in low- and middle-income countries published between January 2008 and June 2021. We extracted data on unit costs, cost savings, and incremental cost-effectiveness ratios as well as outcomes related to health and the HIV EID care process and summarized results in narrative and tabular formats. We converted unit costs to 2021 USD for easier comparison of costs across studies. Results After title and abstract screening of 1278 records and full-text review of 99 records, we included 29 studies: 17 cost analyses and 12 model-based cost-effectiveness analyses. Unit costs were 21.46–51.80 USD for point-of-care EID tests and 16.21–42.73 USD for laboratory-based EID tests. All cost-effectiveness analyses stated at least one of the interventions evaluated to be cost-effective. Most studies reported costs of EID testing strategies; however, few studies assessed the same intervention or reported costs in the same way, making comparison of costs across studies challenging. Limited data availability of context-appropriate costs and outcomes of children with HIV as well as structural heterogeneity of cost-effectiveness modelling studies limits generalizability of economic analyses of HIV EID. Conclusions The available cost and cost-effectiveness evidence for EID of HIV, while not directly comparable across studies, covers a broad range of interventions and suggests most interventions designed to improve EID are cost-effective or cost-saving. Further studies capturing costs and benefits of EID services as they are delivered in real-world settings are needed. Graphical Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s40249-022-01006-7.
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Affiliation(s)
- Kira Elsbernd
- Division of Infectious Diseases and Tropical Medicine, Faculty of Medicine, Ludwig Maximilians University, Munich, Germany. .,Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, Ludwig Maximilian University, Munich, Germany.
| | - Karl M F Emmert-Fees
- Department of Sports and Health Sciences, Technical University of Munich, Munich, Germany.,Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, Munich, Germany
| | - Amanda Erbe
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.,Department of Health Management and Health Economics, University of Oslo, Oslo, Norway
| | - Veronica Ottobrino
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.,Department of Health Management and Health Economics, University of Oslo, Oslo, Norway
| | - Arne Kroidl
- Division of Infectious Diseases and Tropical Medicine, Faculty of Medicine, Ludwig Maximilians University, Munich, Germany.,German Center for Infection Research (DZIF), Partner Site, Munich, Germany
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany
| | - Benjamin P Geisler
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, Ludwig Maximilian University, Munich, Germany.,Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
| | - Stefan Kohler
- Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.,Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
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