Your browser doesn't support javascript.
loading
Health benefits, costs, and cost-effectiveness of earlier eligibility for adult antiretroviral therapy and expanded treatment coverage: a combined analysis of 12 mathematical models.
Eaton, Jeffrey W; Menzies, Nicolas A; Stover, John; Cambiano, Valentina; Chindelevitch, Leonid; Cori, Anne; Hontelez, Jan A C; Humair, Salal; Kerr, Cliff C; Klein, Daniel J; Mishra, Sharmistha; Mitchell, Kate M; Nichols, Brooke E; Vickerman, Peter; Bakker, Roel; Bärnighausen, Till; Bershteyn, Anna; Bloom, David E; Boily, Marie-Claude; Chang, Stewart T; Cohen, Ted; Dodd, Peter J; Fraser, Christophe; Gopalappa, Chaitra; Lundgren, Jens; Martin, Natasha K; Mikkelsen, Evelinn; Mountain, Elisa; Pham, Quang D; Pickles, Michael; Phillips, Andrew; Platt, Lucy; Pretorius, Carel; Prudden, Holly J; Salomon, Joshua A; van de Vijver, David A M C; de Vlas, Sake J; Wagner, Bradley G; White, Richard G; Wilson, David P; Zhang, Lei; Blandford, John; Meyer-Rath, Gesine; Remme, Michelle; Revill, Paul; Sangrujee, Nalinee; Terris-Prestholt, Fern; Doherty, Meg; Shaffer, Nathan; Easterbrook, Philippa J.
Afiliação
  • Eaton JW; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Menzies NA; Center for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
  • Stover J; Futures Institute, Glastonbury, CT, USA.
  • Cambiano V; Research Department of Infection and Population Health, University College London, London, UK.
  • Chindelevitch L; Department of Global Health and Population, Harvard School of Public Health, Boston, MA, USA.
  • Cori A; MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Hontelez JA; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands ; Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa ; Nijmegen International Center for Health System Analysis and Education (NICHE), Department of
  • Humair S; Harvard School of Public Health, Boston, MA, USA.
  • Kerr CC; Kirby Institute, University of New South Wales, Sydney, Australia.
  • Klein DJ; Epidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
  • Mishra S; Department of Infectious Disease Epidemiology, Imperial College London, London, UK ; Division of Infectious Diseases, St. Michael's Hospital, University of Toronto, Canada.
  • Mitchell KM; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Nichols BE; Department of Virology, Erasmus Medical Center, Rotterdam, Netherlands.
  • Vickerman P; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Bakker R; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Bärnighausen T; Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa ; Harvard School of Public Health, Boston, MA, USA.
  • Bershteyn A; Epidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
  • Bloom DE; Harvard School of Public Health, Boston, MA, USA.
  • Boily MC; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Chang ST; Epidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
  • Cohen T; Division of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA ; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
  • Dodd PJ; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Fraser C; MRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Gopalappa C; Futures Institute, Glastonbury, CT, USA.
  • Lundgren J; Copenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark ; University of Copenhagen, Copenhagen, Denmark.
  • Martin NK; School of Social and Community Medicine, University of Bristol, Bristol, UK ; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Mikkelsen E; Nijmegen International Center for Health System Analysis and Education (NICHE), Department of Primary and Community Care, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands.
  • Mountain E; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Pham QD; Kirby Institute, University of New South Wales, Sydney, Australia.
  • Pickles M; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Phillips A; Research Department of Infection and Population Health, University College London, London, UK.
  • Platt L; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Pretorius C; Futures Institute, Glastonbury, CT, USA.
  • Prudden HJ; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Salomon JA; Department of Global Health and Population, Harvard School of Public Health, Boston, MA, USA ; Center for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
  • van de Vijver DA; Department of Virology, Erasmus Medical Center, Rotterdam, Netherlands.
  • de Vlas SJ; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Wagner BG; Epidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
  • White RG; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
  • Wilson DP; Kirby Institute, University of New South Wales, Sydney, Australia.
  • Zhang L; Kirby Institute, University of New South Wales, Sydney, Australia.
  • Blandford J; U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Meyer-Rath G; Center for Global Health and Development, Boston University, Boston, MA, USA ; Health Economics and Epidemiology Research Office, Department of Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
  • Remme M; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Revill P; Centre for Health Economics, University of York, York, UK.
  • Sangrujee N; U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • Terris-Prestholt F; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
  • Doherty M; Department of HIV/AIDS, World Health Organization, Geneva, Switzerland.
  • Shaffer N; Department of HIV/AIDS, World Health Organization, Geneva, Switzerland.
  • Easterbrook PJ; Department of HIV/AIDS, World Health Organization, Geneva, Switzerland.
Lancet Glob Health ; 2(1): 23-34, 2013 Dec 10.
Article em En | MEDLINE | ID: mdl-25083415
ABSTRACT

BACKGROUND:

New WHO guidelines recommend ART initiation for HIV-positive persons with CD4 cell counts ≤500 cells/µL, a higher threshold than was previously recommended. Country decision makers must consider whether to further expand ART eligibility accordingly.

METHODS:

We used multiple independent mathematical models in four settings-South Africa, Zambia, India, and Vietnam-to evaluate the potential health impact, costs, and cost-effectiveness of different adult ART eligibility criteria under scenarios of current and expanded treatment coverage, with results projected over 20 years. Analyses considered extending eligibility to include individuals with CD4 ≤500 cells/µL or all HIV-positive adults, compared to the previous recommendation of initiation with CD4 ≤350 cells/µL. We assessed costs from a health system perspective, and calculated the incremental cost per DALY averted ($/DALY) to compare competing strategies. Strategies were considered 'very cost-effective' if the $/DALY was less than the country's per capita gross domestic product (GDP; South Africa $8040, Zambia $1425, India $1489, Vietnam $1407) and 'cost-effective' if $/DALY was less than three times per capita GDP.

FINDINGS:

In South Africa, the cost per DALY averted of extending ART eligibility to CD4 ≤500 cells/µL ranged from $237 to $1691/DALY compared to 2010 guidelines; in Zambia, expanded eligibility ranged from improving health outcomes while reducing costs (i.e. dominating current guidelines) to $749/DALY. Results were similar in scenarios with substantially expanded treatment access and for expanding eligibility to all HIV-positive adults. Expanding treatment coverage in the general population was therefore found to be cost-effective. In India, eligibility for all HIV-positive persons ranged from $131 to $241/DALY and in Vietnam eligibility for CD4 ≤500 cells/µL cost $290/DALY. In concentrated epidemics, expanded access among key populations was also cost-effective.

INTERPRETATION:

Earlier ART eligibility is estimated to be very cost-effective in low- and middle-income settings, although these questions should be revisited as further information becomes available. Scaling-up ART should be considered among other high-priority health interventions competing for health budgets.

FUNDING:

The Bill and Melinda Gates Foundation and World Health Organization.

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Tipo de estudo: Guideline / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Lancet Glob Health Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 11_ODS3_cobertura_universal / 1_ASSA2030 / 2_ODS3 Base de dados: MEDLINE Tipo de estudo: Guideline / Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Lancet Glob Health Ano de publicação: 2013 Tipo de documento: Article