Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model

Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model

South Africa remains a high-burden country for tuberculosis (TB) and multi-drug resistant TB (MDR-TB) with an underlying generalised HIV epidemic. TB funding must therefore be allocated to interventions which provide high impact to prevent TB trans...

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Bibliographic Details
Main Authors: World Bank, Optima Consortium for Decision Sciences, Government of South Africa
Format: Report
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
TUBERCULOSIS
OPTIMA MODEL
HEALTH CARE
DISEASE CONTROL
ALLOCATIVE EFFICIENCY
HEALTH EXPENDITURE
Online Access:http://documents.worldbank.org/curated/en/772111581370318152/Optimising-Investments-in-the-Tuberculosis-Response-of-Gauteng-Province-South-Africa-Findings-from-a-Pilot-Application-of-the-Optima-TB-Model
http://hdl.handle.net/10986/33377
id okr-10986-33377
recordtype oai_dc
spelling okr-10986-333772021-05-25T09:32:53Z Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model World Bank Optima Consortium for Decision Sciences Government of South Africa TUBERCULOSIS OPTIMA MODEL HEALTH CARE DISEASE CONTROL ALLOCATIVE EFFICIENCY HEALTH EXPENDITURE South Africa remains a high-burden country for tuberculosis (TB) and multi-drug resistant TB (MDR-TB) with an underlying generalised HIV epidemic. TB funding must therefore be allocated to interventions which provide high impact to prevent TB transmission, identify TB cases and treat them successfully. This report presents the findings from a pilot application of the Optima TB model in Gauteng Province, where many challenges remain to sustainably reduce TB. The modelling analysis focused on relevant intervention scenarios and optimal resource allocation to achieve the 2022 TB targets, using the mathematical optimisation feature of the tool. Findings suggest that further reductions in TB prevalence and deaths are possible through improved allocative efficiency. Several scenarios highlight opportunities especially in HIV negative populations by improving the TB care cascade with higher diagnosis rates, enhanced linkage to treatment and better MDR treatment outcomes using shorter drug regimens. The same budget allocated differently could, by 2022, reduce active TB infections by up to 40 and reduce TB deaths by up to 30 perent among HIV positive and HIV negative populations. The study provided valuable input into the refinement of the Optima TB model, especially for the HIV/TB co-epidemic setting. The model outputs support Gauteng's focus on improving the care cascade and innovating MDR-TB treatment. 2020-02-25T20:01:26Z 2020-02-25T20:01:26Z 2019-03 Report http://documents.worldbank.org/curated/en/772111581370318152/Optimising-Investments-in-the-Tuberculosis-Response-of-Gauteng-Province-South-Africa-Findings-from-a-Pilot-Application-of-the-Optima-TB-Model http://hdl.handle.net/10986/33377 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Economic & Sector Work Economic & Sector Work :: Other Health Study Africa South Africa
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic TUBERCULOSIS
OPTIMA MODEL
HEALTH CARE
DISEASE CONTROL
ALLOCATIVE EFFICIENCY
HEALTH EXPENDITURE
spellingShingle TUBERCULOSIS
OPTIMA MODEL
HEALTH CARE
DISEASE CONTROL
ALLOCATIVE EFFICIENCY
HEALTH EXPENDITURE
World Bank
Optima Consortium for Decision Sciences
Government of South Africa
Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model
geographic_facet Africa
South Africa
description South Africa remains a high-burden country for tuberculosis (TB) and multi-drug resistant TB (MDR-TB) with an underlying generalised HIV epidemic. TB funding must therefore be allocated to interventions which provide high impact to prevent TB transmission, identify TB cases and treat them successfully. This report presents the findings from a pilot application of the Optima TB model in Gauteng Province, where many challenges remain to sustainably reduce TB. The modelling analysis focused on relevant intervention scenarios and optimal resource allocation to achieve the 2022 TB targets, using the mathematical optimisation feature of the tool. Findings suggest that further reductions in TB prevalence and deaths are possible through improved allocative efficiency. Several scenarios highlight opportunities especially in HIV negative populations by improving the TB care cascade with higher diagnosis rates, enhanced linkage to treatment and better MDR treatment outcomes using shorter drug regimens. The same budget allocated differently could, by 2022, reduce active TB infections by up to 40 and reduce TB deaths by up to 30 perent among HIV positive and HIV negative populations. The study provided valuable input into the refinement of the Optima TB model, especially for the HIV/TB co-epidemic setting. The model outputs support Gauteng's focus on improving the care cascade and innovating MDR-TB treatment.
format Report
author World Bank
Optima Consortium for Decision Sciences
Government of South Africa
author_facet World Bank
Optima Consortium for Decision Sciences
Government of South Africa
author_sort World Bank
title Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model
title_short Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model
title_full Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model
title_fullStr Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model
title_full_unstemmed Optimising Investments in the Tuberculosis Response of Gauteng Province, South Africa : Findings from a Pilot Application of the Optima TB Model
title_sort optimising investments in the tuberculosis response of gauteng province, south africa : findings from a pilot application of the optima tb model
publisher World Bank, Washington, DC
publishDate 2020
url http://documents.worldbank.org/curated/en/772111581370318152/Optimising-Investments-in-the-Tuberculosis-Response-of-Gauteng-Province-South-Africa-Findings-from-a-Pilot-Application-of-the-Optima-TB-Model
http://hdl.handle.net/10986/33377
_version_ 1764478629152030720

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