Evidence map›Paper›PMID 36906559›Full record

ArticleBMC health services research2023

Cost and outcomes of routine HIV care and treatment: public and private service delivery models covering low-income earners in South Africa.

L C Long, S Girdwood, K Govender, G Meyer-Rath, J Miot

Open access · goldFull text read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

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  8. Ten game-changers in mental health for South Africa.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

L C LongHealth Economics and Epidemiology Research Office (HE²RO), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa. lclong@bu.edu.
S GirdwoodHealth Economics and Epidemiology Research Office (HE²RO), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
K GovenderHealth Economics and Epidemiology Research Office (HE²RO), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
G Meyer-RathHealth Economics and Epidemiology Research Office (HE²RO), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
J MiotHealth Economics and Epidemiology Research Office (HE²RO), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZA

Funding

Using behavioral economics to improve the uptake of and persistence on pre-exposure prophylaxis in men who have sex with men to prevent HIV infectionK01MH119923 · NIMH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LONG, LAWRENCE CAMDON · 2020 to 2024
$865k
6 · The paper itself

Abstract

backgroundWhile South Africa's national HIV program is the largest in the world, it has yet to reach the UNAIDS 95-95-95 targets. To reach these targets, the expansion of the HIV treatment program may be accelerated through the use private sector delivery models. This study identified three innovative non-governmental primary health care models (private sector) providing HIV treatment, as well as two government primary health clinics (public sector) that served similar populations. We estimated the resources used, and costs and outcomes of HIV treatment across these models to provide inputs to inform decisions around how these services might best be provided through National Health Insurance (NHI).

methodsA review of potential private sector models for HIV treatment in a primary health care setting was conducted. Models actively offering HIV treatment (i.e. in 2019) were considered for inclusion in the evaluation, subject to data availability and location. These models were augmented by government primary health clinics offering HIV services in similar locations. We conducted a cost-outcomes analysis by collecting patient-level resource usage and treatment outcomes through retrospective medical record reviews and a bottom-up micro-costing from the provider perspective (public or private payer). Patient outcomes were based on whether the patient was still in care at the end of the follow up period and viral load (VL) status, to create the following outcome categories: in care and responding (VL suppressed), in care and not responding (VL unsuppressed), in care (VL unknown) and not in care (LTFU or deceased). Data collection was conducted in 2019 and reflects services provided during the 4 years prior to that (2016-2019).

resultsThree hundred seventy-six patients were included across the five HIV treatment models. Across the three private sector models there were differences in the costs and outcomes of HIV treatment delivery, two of the models had results similar to the public sector primary health clinics. The nurse-led model appears to have a cost-outcome profile distinct from the others.

conclusionThe results show that across the private sector models studied the costs and outcomes of HIV treatment delivery vary, yet there were models that provided costs and outcomes similar to those found with public sector delivery. Offering HIV treatment under NHI through private delivery models could therefore be an option to increase access beyond the current public sector capacity.

Indexed as

HIV InfectionsPovertyHumansRetrospective StudiesSouth AfricaTreatment OutcomeAntiretroviral therapyCost and cost analysisHIVPrivate sectorSouth Africa

Identifiers

PMID36906559
PMCPMC10007767
OpenAlexW4323971793

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read169
Read underepoch 390

Registered trials

None linked

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.