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      The cost‐effectiveness of prophylaxis strategies for individuals with advanced HIV starting treatment in Africa

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          Abstract

          Introduction

          Many HIV‐positive individuals in Africa have advanced disease when initiating antiretroviral therapy (ART) so have high risks of opportunistic infections and death. The REALITY trial found that an enhanced‐prophylaxis package including fluconazole reduced mortality by 27% in individuals starting ART with CD4 <100 cells/mm 3. We investigated the cost‐effectiveness of this enhanced‐prophylaxis package versus other strategies, including using cryptococcal antigen (CrAg) testing, in individuals with CD4 <200 cells/mm 3 or <100 cells/mm 3 at ART initiation and all individuals regardless of CD4 count.

          Methods

          The REALITY trial enrolled from June 2013 to April 2015. A decision‐analytic model was developed to estimate the cost‐effectiveness of six management strategies in individuals initiating ART in the REALITY trial countries. Strategies included standard‐prophylaxis, enhanced‐prophylaxis, standard‐prophylaxis with fluconazole; and three CrAg testing strategies, the first stratifying individuals to enhanced‐prophylaxis (CrAg‐positive) or standard‐prophylaxis (CrAg‐negative), the second to enhanced‐prophylaxis (CrAg‐positive) or enhanced‐prophylaxis without fluconazole (CrAg‐negative) and the third to standard‐prophylaxis with fluconazole (CrAg‐positive) or without fluconazole (CrAg‐negative). The model estimated costs, life‐years and quality‐adjusted life‐years (QALY) over 48 weeks using three competing mortality risks: cryptococcal meningitis; tuberculosis, serious bacterial infection or other known cause; and unknown cause.

          Results

          Enhanced‐prophylaxis was cost‐effective at cost‐effectiveness thresholds of US$300 and US$500 per QALY with an incremental cost‐effectiveness ratio (ICER) of US$157 per QALY in the CD4 <200 cells/mm 3 population providing enhanced‐prophylaxis components are sourced at lowest available prices. The ICER reduced in more severely immunosuppressed individuals (US$113 per QALY in the CD4 <100 cells/mm 3 population) and increased in all individuals regardless of CD4 count (US$722 per QALY). Results were sensitive to prices of the enhanced‐prophylaxis components. Enhanced‐prophylaxis was more effective and less costly than all CrAg testing strategies as enhanced‐prophylaxis still conveyed health gains in CrAg‐negative patients and savings from targeting prophylaxis based on CrAg status did not compensate for costs of CrAg testing. CrAg testing strategies did not become cost‐effective unless the price of CrAg testing fell below US$2.30.

          Conclusions

          The REALITY enhanced‐prophylaxis package in individuals with advanced HIV starting ART reduces morbidity and mortality, is practical to administer and is cost‐effective. Efforts should continue to ensure that components are accessed at lowest available prices.

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          Most cited references32

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          Decision Modelling for Health Economic Evaluation

          In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. [Ed.]
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            Country-Level Cost-Effectiveness Thresholds: Initial Estimates and the Need for Further Research

            Background Cost-effectiveness analysis can guide policymakers in resource allocation decisions. It assesses whether the health gains offered by an intervention are large enough relative to any additional costs to warrant adoption. When there are constraints on the health care system’s budget or ability to increase expenditures, additional costs imposed by interventions have an “opportunity cost” in terms of the health foregone because other interventions cannot be provided. Cost-effectiveness thresholds (CETs) are typically used to assess whether an intervention is worthwhile and should reflect health opportunity cost. Nevertheless, CETs used by some decision makers—such as the World Health Organization that suggested CETs of 1 to 3 times the gross domestic product (GDP) per capita—do not. Objectives To estimate CETs based on opportunity cost for a wide range of countries. Methods We estimated CETs based on recent empirical estimates of opportunity cost (from the English National Health Service), estimates of the relationship between country GDP per capita and the value of a statistical life, and a series of explicit assumptions. Results CETs for Malawi (the country with the lowest income in the world), Cambodia (with borderline low/low-middle income), El Salvador (with borderline low-middle/upper-middle income), and Kazakhstan (with borderline high-middle/high income) were estimated to be $3 to $116 (1%–51% GDP per capita), $44 to $518 (4%–51%), $422 to $1967 (11%–51%), and $4485 to $8018 (32%–59%), respectively. Conclusions To date, opportunity-cost-based CETs for low-/middle-income countries have not been available. Although uncertainty exists in the underlying assumptions, these estimates can provide a useful input to inform resource allocation decisions and suggest that routinely used CETs have been too high.
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              Estimation of the current global burden of cryptococcal meningitis among persons living with HIV/AIDS.

              Cryptococcal meningitis is one of the most important HIV-related opportunistic infections, especially in the developing world. In order to help develop global strategies and priorities for prevention and treatment, it is important to estimate the burden of cryptococcal meningitis. Global burden of disease estimation using published studies. We used the median incidence rate of available studies in a geographic region to estimate the region-specific cryptococcal meningitis incidence; this was multiplied by the 2007 United Nations Programme on HIV/AIDS HIV population estimate for each region to estimate cryptococcal meningitis cases. To estimate deaths, we assumed a 9% 3-month case-fatality rate among high-income regions, a 55% rate among low-income and middle-income regions, and a 70% rate in sub-Saharan Africa, based on studies published in these areas and expert opinion. Published incidence ranged from 0.04 to 12% per year among persons with HIV. Sub-Saharan Africa had the highest yearly burden estimate (median incidence 3.2%, 720 000 cases; range, 144 000-1.3 million). Median incidence was lowest in Western and Central Europe and Oceania (

                Author and article information

                Contributors
                simon.walker@york.ac.uk
                Journal
                J Int AIDS Soc
                J Int AIDS Soc
                10.1002/(ISSN)1758-2652
                JIA2
                Journal of the International AIDS Society
                John Wiley and Sons Inc. (Hoboken )
                1758-2652
                27 March 2020
                March 2020
                : 23
                : 3 ( doiID: 10.1002/jia2.v23.3 )
                : e25469
                Affiliations
                [ 1 ] Centre for Health Economics University of York York UK
                [ 2 ] Joint Clinical Research Centre Kampala Uganda
                [ 3 ] University of Zimbabwe Clinical Research Centre Harare Zimbabwe
                [ 4 ] College of Medicine University of Malawi and Malawi‐Liverpool‐Wellcome Trust Clinical Research Programme Blantyre Malawi
                [ 5 ] Moi University School of Medicine Eldoret Kenya
                [ 6 ] KEMRI Wellcome Trust Research Programme Kilifi Kenya
                [ 7 ] Department of Infectious Diseases Imperial College London UK
                [ 8 ] HIV/AIDS Department and Global Hepatitis Programme World Health Organization Geneva Switzerland
                [ 9 ] MRC Clinical Trials Unit UCL London UK
                Author notes
                [*] [* ] Corresponding author: Simon M Walker, Centre for Health Economics, University of York, York, UK. Tel: +44(1904)321451. ( simon.walker@ 123456york.ac.uk )

                [*]

                These authors have contributed equally to the work.

                [†]

                Membership of the REALITY trial team is provided in the Acknowledgements.

                Author information
                https://orcid.org/0000-0002-5750-3691
                https://orcid.org/0000-0003-1482-3967
                Article
                JIA225469
                10.1002/jia2.25469
                7099175
                32219991
                b06403ed-2ffe-4248-90e0-0c3f0d799079
                © 2020 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 August 2019
                : 14 January 2020
                : 06 February 2020
                Page count
                Figures: 1, Tables: 5, Pages: 12, Words: 10921
                Funding
                Funded by: UK Medical Research Council (MRC) and the UK Department for International Development (DFID)
                Award ID: MC_UU_12023/23
                Award ID: MC_UU_12023/26
                Funded by: PENTA Foundation
                Funded by: Joint Global Health Trials Scheme (JGHTS) of the UK Department for International Development (DFID), the Wellcome Trust and Medical Research Council (MRC)
                Award ID: G1100693
                Funded by: Wellcome Trust , open-funder-registry 10.13039/100004440;
                Award ID: 101113/Z/13/Z
                Award ID: 203077/Z/16/Z
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.8 mode:remove_FC converted:27.03.2020

                Infectious disease & Microbiology
                hiv,prophylaxis,fluconazole,late‐presenters,cost‐effectiveness

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