In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations

International investment in the response to HIV and AIDS has plateaued and its future level is uncertain. With many countries committed to ending the epidemic, it is essential to allocate available resources efficiently over different response periods to maximize impact. The objective of this study...

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Main Authors:	Shattock, Andrew J., Kerr, Cliff C., Stuart, Robyn M., Masaki, Emiko, Fraser, Nicole, Benedikt, Clemens, Gorgens, Marelize, Wilson, David P., Gray, Richard T.
Format:	Journal Article
Published:	Wiley 2019
Subjects:	HIV AIDS ALLOCATIVE EFFICIENCY BUDGETING HIV EPIDEMIC FISCAL POLICY HEALTH CARE FINANCING
Online Access:	http://hdl.handle.net/10986/31379

id	okr-10986-31379
recordtype	oai_dc
spelling	okr-10986-313792021-05-25T10:54:37Z In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations Shattock, Andrew J. Kerr, Cliff C. Stuart, Robyn M. Masaki, Emiko Fraser, Nicole Benedikt, Clemens Gorgens, Marelize Wilson, David P. Gray, Richard T. HIV AIDS ALLOCATIVE EFFICIENCY BUDGETING HIV EPIDEMIC FISCAL POLICY HEALTH CARE FINANCING International investment in the response to HIV and AIDS has plateaued and its future level is uncertain. With many countries committed to ending the epidemic, it is essential to allocate available resources efficiently over different response periods to maximize impact. The objective of this study is to propose a technique to determine the optimal allocation of funds over time across a set of HIV programs to achieve desirable health outcomes. We developed a technique to determine the optimal time‐varying allocation of funds (1) when the future annual HIV budget is pre‐defined and (2) when the total budget over a period is pre‐defined, but the year‐on‐year budget is to be optimally determined. We use this methodology with Optima, an HIV transmission model that uses non‐linear relationships between program spending and associated programmatic outcomes to quantify the expected epidemiological impact of spending. We apply these methods to data collected from Zambia to determine the optimal distribution of resources to fund the right programs, for the right people, at the right time. 2019-03-12T20:40:33Z 2019-03-12T20:40:33Z 2016-02-23 Journal Article Journal of the International AIDS Society http://hdl.handle.net/10986/31379 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Wiley Publications & Research :: Journal Article Publications & Research Africa Zambia
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
topic	HIV AIDS ALLOCATIVE EFFICIENCY BUDGETING HIV EPIDEMIC FISCAL POLICY HEALTH CARE FINANCING
spellingShingle	HIV AIDS ALLOCATIVE EFFICIENCY BUDGETING HIV EPIDEMIC FISCAL POLICY HEALTH CARE FINANCING Shattock, Andrew J. Kerr, Cliff C. Stuart, Robyn M. Masaki, Emiko Fraser, Nicole Benedikt, Clemens Gorgens, Marelize Wilson, David P. Gray, Richard T. In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations
geographic_facet	Africa Zambia
description	International investment in the response to HIV and AIDS has plateaued and its future level is uncertain. With many countries committed to ending the epidemic, it is essential to allocate available resources efficiently over different response periods to maximize impact. The objective of this study is to propose a technique to determine the optimal allocation of funds over time across a set of HIV programs to achieve desirable health outcomes. We developed a technique to determine the optimal time‐varying allocation of funds (1) when the future annual HIV budget is pre‐defined and (2) when the total budget over a period is pre‐defined, but the year‐on‐year budget is to be optimally determined. We use this methodology with Optima, an HIV transmission model that uses non‐linear relationships between program spending and associated programmatic outcomes to quantify the expected epidemiological impact of spending. We apply these methods to data collected from Zambia to determine the optimal distribution of resources to fund the right programs, for the right people, at the right time.
format	Journal Article
author	Shattock, Andrew J. Kerr, Cliff C. Stuart, Robyn M. Masaki, Emiko Fraser, Nicole Benedikt, Clemens Gorgens, Marelize Wilson, David P. Gray, Richard T.
author_facet	Shattock, Andrew J. Kerr, Cliff C. Stuart, Robyn M. Masaki, Emiko Fraser, Nicole Benedikt, Clemens Gorgens, Marelize Wilson, David P. Gray, Richard T.
author_sort	Shattock, Andrew J.
title	In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations
title_short	In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations
title_full	In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations
title_fullStr	In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations
title_full_unstemmed	In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations
title_sort	in the interests of time : improving hiv allocative efficiency modelling via optimal time-varying allocations
publisher	Wiley
publishDate	2019
url	http://hdl.handle.net/10986/31379
_version_	1764474193594810368

In the Interests of Time : Improving HIV Allocative Efficiency Modelling via Optimal Time-Varying Allocations

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