Building and maintaining a cost data collection system and repository for human immunodeficiency virus (HIV) and tuberculosis (TB) health interventions in South Africa
1
Health Economics and Epidemiology Research Office, Johannesburg, South Africa
Popul. Med. 2026;8(Supplement Supplement 1):A3708
ABSTRACT
BACKGROUND:
Since 2005, the Health Economics and Epidemiology Research Office (HE2RO) has conducted economic evaluations to estimate the costs of HIV and TB interventions. These costs have been used by policy makers for programme planning, budgeting and ascertaining the affordability of scaling-up new and existing interventions to improve health outcomes and health-system efficiencies. However, these costs have not been summarised and standardised for consistency and centralised for ease of access by researchers, programme planners, and implementers. To address this gap, we developed an Excel-based repository of HIV and TB intervention cost estimates, drawing on internal and external studies.
METHODS:
We sourced data from primary data collection and published and grey literature to build a comprehensive database tool of costs of TB and HIV interventions across prevention, screening, testing and treatment. Also included were service delivery enablers which improve the technical efficiency of existing programmes. All costs are based on the public provider perspective and expressed in both Rand and US-Dollar 2025 prices.
RESULTS:
The cost repository allows for automated updating and extraction of cost estimates for 79 HIV-related and 18 TB-related health interventions, stratified by population and model of care where relevant. HIV interventions include 34 testing/screening services, 16 prevention services, 23 treatment-care-and-support services, and 6 structural enablers, while TB interventions include 12 testing/screening services, 2 prevention services, and 4 treatment-care-and-support services. When filtered to the chosen health intervention, the tool displays the average cost of the intervention, broken down into cost categories, and details of the cost and quantity of each ingredient required to deliver it.
CONCLUSIONS:
Once available online, we anticipate the cost data repository to be used to conduct economic evaluation studies for priority setting and to support health technology assessment, aid in provincial financial planning and resource allocation, and facilitate the comparability of costs across settings.
Since 2005, the Health Economics and Epidemiology Research Office (HE2RO) has conducted economic evaluations to estimate the costs of HIV and TB interventions. These costs have been used by policy makers for programme planning, budgeting and ascertaining the affordability of scaling-up new and existing interventions to improve health outcomes and health-system efficiencies. However, these costs have not been summarised and standardised for consistency and centralised for ease of access by researchers, programme planners, and implementers. To address this gap, we developed an Excel-based repository of HIV and TB intervention cost estimates, drawing on internal and external studies.
METHODS:
We sourced data from primary data collection and published and grey literature to build a comprehensive database tool of costs of TB and HIV interventions across prevention, screening, testing and treatment. Also included were service delivery enablers which improve the technical efficiency of existing programmes. All costs are based on the public provider perspective and expressed in both Rand and US-Dollar 2025 prices.
RESULTS:
The cost repository allows for automated updating and extraction of cost estimates for 79 HIV-related and 18 TB-related health interventions, stratified by population and model of care where relevant. HIV interventions include 34 testing/screening services, 16 prevention services, 23 treatment-care-and-support services, and 6 structural enablers, while TB interventions include 12 testing/screening services, 2 prevention services, and 4 treatment-care-and-support services. When filtered to the chosen health intervention, the tool displays the average cost of the intervention, broken down into cost categories, and details of the cost and quantity of each ingredient required to deliver it.
CONCLUSIONS:
Once available online, we anticipate the cost data repository to be used to conduct economic evaluation studies for priority setting and to support health technology assessment, aid in provincial financial planning and resource allocation, and facilitate the comparability of costs across settings.
| eISSN: | 2654-1459 |
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