A packaged intervention to improve viral load monitoring within a deeply rural health district of South Africa
- PMID: 33176715
- PMCID: PMC7659110
- DOI: 10.1186/s12879-020-05576-5
A packaged intervention to improve viral load monitoring within a deeply rural health district of South Africa
Abstract
Background: The KwaZulu-Natal (KZN) province of South Africa has the highest prevalence of HIV infection in the world. Viral load (VL) testing is a crucial tool for clinical and programmatic monitoring. Within uMkhanyakude district, VL suppression rates were 91% among patients with VL data; however, VL performance rates averaged only 38·7%. The objective of this study was to determine if enhanced clinic processes and community outreach could improve VL monitoring within this district.
Methods: A packaged intervention was implemented at three rural clinics in the setting of the KZN HIV AIDS Drug Resistance Surveillance Study. This included file hygiene, outreach, a VL register and documentation revisions. Chart audits were used to assess fidelity. Outcome measures included percentage VL performed and suppressed. Each rural clinic was matched with a peri-urban clinic for comparison before and after the start of each phase of the intervention. Monthly sample proportions were modelled using quasi-likelihood regression methods for over-dispersed binomial data.
Results: Mkuze and Jozini clinics increased VL performance overall from 33·9% and 35·3% to 75·8% and 72·4%, respectively which was significantly greater than the increases in the comparison clinics (RR 1·86 and 1·68, p < 0·01). VL suppression rates similarly increased overall by 39·3% and 36·2% (RR 1·84 and 1·70, p < 0·01). The Chart Intervention phase showed significant increases in fidelity 16 months after implementation.
Conclusions: The packaged intervention improved VL performance and suppression rates overall but was significant in Mkuze and Jozini. Larger sustained efforts will be needed to have a similar impact throughout the province.
Keywords: HIV; Monitoring; Rural health; South Africa; Viral load; Virologic suppression.
Conflict of interest statement
No competing interests were declared among the authors of this paper. D.R.K. has received consulting honoraria and/or research support from AbbVie, Gilead, GlaxoSmithKline, Janssen, Merck and ViiV. V.C.M. has received consulting honoraria and/or research support from Lilly, ViiV, Gilead and Bayer.
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References
-
- UNAIDS Data 2017. Geneva, Switzerland: Joint United Nations Programme on HIV/AIDS (UNAIDS);2017. - PubMed
-
- HIV/AIDS/STI Dashboard Indicators National Feedback Per Province: 2016/17 Financial year quarter 2. District Health Information System, Department of Health Republic of South Africa; December 1, 2016 2016.
-
- Analysis of Big Data for Better Targeting of ART Adherence Strategies: Spatial Clustering Analysis of Viral Load Suppression by South African Province, District, Sub-District and Facility (April 2014–March 2015). Washington, DC: World Bank; 2015.
-
- Coombs RW, Welles SL, Hooper C, et al. Association of plasma human immunodeficiency virus type 1 RNA level with risk of clinical progression in patients with advanced infection. AIDS Clinical Trials Group (ACTG) 116B/117 study team. ACTG virology Committee resistance and HIV-1 RNA working groups. J Infect Dis. 1996;174(4):704–712. doi: 10.1093/infdis/174.4.704. - DOI - PubMed
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