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Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered?
BACKGROUND: South Africa has a large domestically funded HIV programme with highly saturated coverage levels for most prevention and treatment interventions. To further optimise its allocative efficiency, we designed a novel optimisation method and examined whether the optimal package of interventio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282636/ https://www.ncbi.nlm.nih.gov/pubmed/28143525 http://dx.doi.org/10.1186/s12889-017-4023-3 |
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author | Chiu, Calvin Johnson, Leigh F. Jamieson, Lise Larson, Bruce A. Meyer-Rath, Gesine |
author_facet | Chiu, Calvin Johnson, Leigh F. Jamieson, Lise Larson, Bruce A. Meyer-Rath, Gesine |
author_sort | Chiu, Calvin |
collection | PubMed |
description | BACKGROUND: South Africa has a large domestically funded HIV programme with highly saturated coverage levels for most prevention and treatment interventions. To further optimise its allocative efficiency, we designed a novel optimisation method and examined whether the optimal package of interventions changes when interaction and non-linear scale-up effects are incorporated into cost-effectiveness analysis. METHODS: The conventional league table method in cost-effectiveness analysis relies on the assumption of independence between interventions. We added methodology that allowed the simultaneous consideration of a large number of HIV interventions and their potentially diminishing marginal returns to scale. We analysed the incremental cost effectiveness ratio (ICER) of 16 HIV interventions based on a well-calibrated epidemiological model that accounted for interaction and non-linear scale-up effects, a custom cost model, and an optimisation routine that iteratively added the most cost-effective intervention onto a rolling baseline before evaluating all remaining options. We compared our results with those based on a league table. RESULTS: The rank order of interventions did not differ substantially between the two methods- in each, increasing condom availability and male medical circumcision were found to be most cost-effective, followed by anti-retroviral therapy at current guidelines. However, interventions were less cost-effective throughout when evaluated under the optimisation method, indicating substantial diminishing marginal returns, with ICERs being on average 437% higher under our optimisation routine. CONCLUSIONS: Conventional league tables may exaggerate the cost-effectiveness of interventions when programmes are implemented at scale. Accounting for interaction and non-linear scale-up effects provides more realistic estimates in highly saturated real-world settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-017-4023-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5282636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52826362017-02-03 Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? Chiu, Calvin Johnson, Leigh F. Jamieson, Lise Larson, Bruce A. Meyer-Rath, Gesine BMC Public Health Research Article BACKGROUND: South Africa has a large domestically funded HIV programme with highly saturated coverage levels for most prevention and treatment interventions. To further optimise its allocative efficiency, we designed a novel optimisation method and examined whether the optimal package of interventions changes when interaction and non-linear scale-up effects are incorporated into cost-effectiveness analysis. METHODS: The conventional league table method in cost-effectiveness analysis relies on the assumption of independence between interventions. We added methodology that allowed the simultaneous consideration of a large number of HIV interventions and their potentially diminishing marginal returns to scale. We analysed the incremental cost effectiveness ratio (ICER) of 16 HIV interventions based on a well-calibrated epidemiological model that accounted for interaction and non-linear scale-up effects, a custom cost model, and an optimisation routine that iteratively added the most cost-effective intervention onto a rolling baseline before evaluating all remaining options. We compared our results with those based on a league table. RESULTS: The rank order of interventions did not differ substantially between the two methods- in each, increasing condom availability and male medical circumcision were found to be most cost-effective, followed by anti-retroviral therapy at current guidelines. However, interventions were less cost-effective throughout when evaluated under the optimisation method, indicating substantial diminishing marginal returns, with ICERs being on average 437% higher under our optimisation routine. CONCLUSIONS: Conventional league tables may exaggerate the cost-effectiveness of interventions when programmes are implemented at scale. Accounting for interaction and non-linear scale-up effects provides more realistic estimates in highly saturated real-world settings. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-017-4023-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-31 /pmc/articles/PMC5282636/ /pubmed/28143525 http://dx.doi.org/10.1186/s12889-017-4023-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chiu, Calvin Johnson, Leigh F. Jamieson, Lise Larson, Bruce A. Meyer-Rath, Gesine Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? |
title | Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? |
title_full | Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? |
title_fullStr | Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? |
title_full_unstemmed | Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? |
title_short | Designing an optimal HIV programme for South Africa: Does the optimal package change when diminishing returns are considered? |
title_sort | designing an optimal hiv programme for south africa: does the optimal package change when diminishing returns are considered? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282636/ https://www.ncbi.nlm.nih.gov/pubmed/28143525 http://dx.doi.org/10.1186/s12889-017-4023-3 |
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