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February 28, 2026F1000Research0 citationsOpen Access

Protocol for Monitoring the Implementation of the 95-95-95 Strategy in Tshwane: A Quantitative Analysis of Local Progress 2018-2024.

XMXolisile Cynthia MoyoAMAzwinndini Gladys MudauJMJulia Langanani Mafumo

Key Points

  • The aim is to measure progress towards the 95-95-95 HIV targets in Tshwane Sub-District 1 by analyzing routine health data and health worker feedback.
  • Conducting a repeated cross-sectional analysis using secondary data from 2018-2024.
  • Utilizing routine health information systems (TIER.Net, DHIS2) across 23 public sector facilities.
  • Administering surveys to healthcare workers in clinics with low testing coverage or high treatment breaks.
  • Analyzing key measures such as testing coverage, ART initiation, loss to follow-up, and viral suppression.
  • No results are presented in this protocol as it outlines upcoming study activities.
  • Pilot testing of instruments began in November 2025.
  • Full data extraction and healthcare worker surveys are slated for December 2025 to January 2026.

Abstract

Abstract* Background South Africa has made substantial national progress toward the UNAIDS 95-95-95 HIV targets; however, sub-district and facility level performance varies, with persistent gaps in testing coverage, timely ART initiation, retention, and viral load suppression. Tshwane District (Gauteng), including Sub-district 1, serves urban and peri-urban communities with high mobility and socio-economic vulnerabilities, where programmatic disparities (e.g., incomplete viral load capture and inconsistent follow-up) challenge cascade outcomes. Objective To quantify progress toward the 95-95-95 HIV targets in Tshwane Sub-District 1 (2018-2024) using routine health information systems, and to identify health system and implementation factors (via health care worker surveys) associated with gaps in testing, timely ART initiation, retention, and viral suppression. Methods This protocol outlines a repeated cross-sectional analysis of secondary data (TIER.Net, DHIS2; 2018-2024) across all 23 public sector facilities in Sub-District 1, combined with a cross-sectional survey of health care workers (HCWs) in purposively selected clinics with low testing coverage or high treatment interruption. Primary measures include (1) testing coverage/positivity, (2) timely ART initiation, (3) loss to follow-up (LTFU)/treatment interruption, and (4) viral suppression (

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Cite This Study

Moyo et al. (2026) studied this question.

synapsesocial.com/papers/69a288590a974eb0d3c042d1https://doi.org/10.12688/f1000research.177052.1
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