# Quality assessment of data for decentralised antiretroviral therapy referrals and laboratory results in the South African national electronic HIV management register TIER.Net

**Authors:** Lisanthini Naidu, Johan van der Molen, Vishen Jugathpal, Yukteshwar Sookrajh, Thokozani Khubone, Lungile Hobe, Thulani Ngwenya, Kwena Tlhaku, Sharana Mahomed, Nigel Garrett, Jennifer Anne Brown, Jienchi Dorward, Lara Lewis

PMC · DOI: 10.1371/journal.pgph.0005534 · PLOS Global Public Health · 2026-03-16

## TL;DR

This study evaluates how well South Africa's TIER.Net system captures HIV treatment and lab data compared to national sources, finding improvements in some areas but ongoing issues with CD4 count data.

## Contribution

The study provides the first detailed evaluation of TIER.Net data quality for decentralised ART and lab results in South Africa.

## Key findings

- Capture of decentralised ART prescriptions in TIER.Net improved from 104.4% in 2020 to 102.4% in 2023.
- Viral load test capture in TIER.Net increased from 85.7% in 2015 to 99.1% in 2022.
- CD4 count capture remained sub-optimal, with no significant improvement over time.

## Abstract

Three Interlinked Electronic Register (TIER.Net) is South Africa’s national electronic HIV patient database, used to monitor antiretroviral therapy (ART) delivery and laboratory results. However, few published evaluations have quantified TIER.Net data quality relative to national sources. We aimed to evaluate how well decentralised ART referral and laboratory result data are captured in TIER.Net. We conducted a retrospective analysis comparing TIER.Net to national electronic health systems. For decentralised ART, we used de-identified data from 56 clinics in eThekwini (2020–2023) and compared the annual number of TIER.Net decentralised ART referrals to ART prescriptions in the Synchronised National Communication in Health (SyNCH) database. For laboratory data, we used de-identified records from 103 clinics in KwaZulu-Natal (2015–2022) and compared the annual number of TIER.Net viral load (VL) and CD4 tests with the number in National Health Laboratory Service (NHLS). The proportion of SyNCH decentralised ART prescriptions and NHLS VL and CD4 counts captured in TIER.Net were calculated by clinic, and trends were assessed using linear mixed-effects models (LMMs). The median proportion of SyNCH decentralised ART prescriptions captured in TIER.Net was 104.4% (IQR: 99.9-115.1%) in 2020 and 102.4% (IQR: 100.5-104.5%) in 2023. The LMM estimated an annual decrease of 2.8% (95% CI: -5.2;-0.5%). The median proportion of NHLS VLs captured in TIER.Net was 85.7% (IQR: 70.0-97.9%) in 2015 and 99.1% (IQR: 94.5-102.5%) in 2022. The LMM estimated an annual increase of 1.8% (95% CI: 1.2; 2.3%). The median proportion of NHLS CD4s captured in TIER.Net was 74.3% (IQR: 63.9-85.4%) in 2015 and 80.1% (IQR: 68.4-89.1%) in 2022. The LMM estimated no statistically significant trend over time (-0.09%, 95% CI: -0.9;0.7). Reassuringly, capture of TIER.Net for decentralised ART and VL data has improved to near 100%, but CD4 count capture remains sub-optimal, highlighting strengths and limitations of conducting analyses with this critical HIV programme database.

## Full-text entities

- **Genes:** CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, MLC1 (modulator of VRAC current 1) [NCBI Gene 23209] {aka LVM, MLC, VL}
- **Diseases:** AHD (MESH:D015658), HIV and tuberculosis (MESH:D014376), NHLS (MESH:D007757), AIDS (MESH:D000163), ART (MESH:D016609), CCMDD (MESH:D020243), noncommunicable disease (MESH:D000073296), VL (MESH:D014777), advanced (MESH:D020178), Chronic (MESH:D002908), Sexually Transmitted Infections (MESH:D012749), COVID-19 (MESH:D000086382)
- **Species:** Human immunodeficiency virus 1 (no rank) [taxon 11676], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12991250/full.md

## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC12991250/full.md

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Source: https://tomesphere.com/paper/PMC12991250