ArticlePloS one2014
A South African public-private partnership HIV treatment model: viability and success factors.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed, 9 citations in OpenAlex.
- Facilitators and barriers of public-private partnerships for universal health coverage in sub-Saharan Africa: a scoping review.Health policy and planning · 2026Article
- Collective insights of public-private partnership impacts and sustainability: A qualitative analysis.PloS one · 2021Article
- The differential impacts of PEPFAR transition on private for-profit, private not-for-profit and publicly owned health facilities in Uganda.Health policy and planning · 2020Article
- Improving the UNAIDS 90-90-90 Treatment Targets: Solutions Suggested from a Qualitative Study of HIV Patients, Community Advocates, Health Workers and Program Managers in Jimma, Southwest Ethiopia.International journal of environmental research and public health · 2020Article
- Effective public-private partnerships for sustainable antiretroviral therapy: outcomes of the Right to Care health services GP down-referral program.BMC public health · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe increasing number of people requiring HIV treatment in South Africa calls for efficient use of its human resources for health in order to ensure optimum treatment coverage and outcomes. This paper describes an innovative public-private partnership model which uses private sector doctors to treat public sector patients and ascertains the model's ability to maintain treatment outcomes over time.
methodsThe study used a retrospective design based on the electronic records of patients who were down-referred from government hospitals to selected private general medical practitioners (GPs) between November 2005 and October 2012. In total, 2535 unique patient records from 40 GPs were reviewed. The survival functions for mortality and attrition were calculated. Cumulative incidence of mortality for different time cohorts (defined by year of treatment initiation) was also established.
resultsThe median number of patients per GP was 143 (IQR: 66-246). At the time of down-referral to private GPs, 13.8% of the patients had CD4 count <200 cell/mm(3), this proportion reduced to 6.6% at 12 months and 4.1% at 48 months. Similarly, 88.4% of the patients had suppressed viral load (defined as HIV-1 RNA <400 copies/ml) at 48 months. The patients' probability of survival at 12 and 48 months was 99.0% (95% CI: 98.4%-99.3%) and 89.0% (95% CI: 87.1%-90.0%) respectively. Patient retention at 48 months remained high at 94.3% (95% CI: 93.0%-95.7%).
conclusionsThe study findings demonstrate the ability of the GPs to effectively maintain patient treatment outcomes and potentially contribute to HIV treatment scale-up with the relevant support mechanism. The model demonstrates how an assisted private sector based programme can be effectively and efficiently used to either target specific health concerns, key populations or serve as a stop-gap measure to meet urgent health needs.
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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 OpenQuestion graph.