ReviewPharmacoEconomics - open2026
A Targeted Review of Available Data Sources to Support Evidence-Informed Decisions: Implications for Health Technology Assessment in South Africa.
Review in PharmacoEconomics - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundUniversal health coverage (UHC) is central to the global health agenda. South Africa is in the process of developing a single financing system for UHC through a National Health Insurance (NHI). The NHI Act legislates the establishment of a health technology assessment (HTA) body to develop and, over time, add to an explicit package of health services funded by the NHI. This study aims to identify data that is publicly available for conducting HTA using the South African Values and Ethics for Universal Health Coverage (SAVE-UHC) framework.
methodsA targeted literature review was conducted to identify data sources for conducting HTA using the SAVE-UHC framework. The SAVE-UHC lists 12 domains that can be used to conduct HTA. We searched for published literature on PubMed using the following search terms: 'South Africa', 'healthcare', 'data sources', 'databases' and 'evidence' in the Title/Abstract fields. We also used our experience in the field to search for existing data from local and international organisations. We then mapped the data sources to the SAVE-UHC domains.
resultsSouth Africa has some data to conduct HTA using the SAVE-UHC domains. Data for six of the domains (burden of disease, harms and benefits, cost effectiveness, budget impact, personal financial impact and equity) is available from local and international databases. Some data for the domain 'system factors and constraints' is available from the Office of Health Standards Compliance and the Human Resource Strategy for Health. Data on the five remaining domains (respect and dignity, solidarity and social cohesion, impact on personal relationships, impact on safety and security and ease of suffering) is limited.
conclusionThere are a number of data sources available to inform health technology assessment in South Africa. However, the data sources available only measure some of the value elements in the SAVE-UHC framework. Thus, South Africa needs to invest in healthcare data collection and management under the NHI to ensure healthcare decisions are made using relevant and recent evidence.
Identifiers
42350746What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.