Evidence map›Paper›PMID 34184134›Full record

SynthesisAIDS and behavior2021

The Utilisation of Payment Models Across the HIV Continuum of Care: Systematic Review of Evidence.

Tiago Rua, Daniela Brandão, Vanessa Nicolau, Ana Escoval

Abstract readSystematic Review
In one paragraph

Synthesis in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Tiago RuaKing's Health Economics, King's College London, London, UK. tiago.rua@kcl.ac.uk.ORCID http://orcid.org/0000-0002-2746-5663
Daniela BrandãoEscola Nacional de Saúde Pública, Nova University, Lisbon, Portugal.
Vanessa NicolauEscola Nacional de Saúde Pública, Nova University, Lisbon, Portugal.
Ana EscovalEscola Nacional de Saúde Pública, Nova University, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing chronicity and multimorbidities associated with people living with HIV have posed important challenges to health systems across the world. In this context, payment models hold the potential to improve care across a spectrum of clinical conditions. This study aims to systematically review the evidence of HIV performance-based payments models. Literature searches were conducted in March 2020 using multiple databases and manual searches of relevant papers. Papers were limited to any study design that considers the real-world utilisation of performance-based payment models applied to the HIV domain. A total of 23 full-text papers were included. Due to the heterogeneity of study designs, the multiple types of interventions and its implementation across distinct areas of HIV care, direct comparisons between studies were deemed unsuitable. Most evidence focused on healthcare users (83%), seeking to directly affect patients' behaviour based on principles of behavioural economics. Despite the variability between interventions, the implementation of performance-based payment models led to either a neutral or positive impact throughout the HIV care continuum. Moreover, this improvement was likely to be cost-effective or, at least, did not compromise the healthcare system's financial sustainability. However, more research is needed to assess the durability of incentives and its appropriate relative magnitude.

Indexed as

HIV InfectionsContinuity of Patient CareDelivery of Health CareHumansAcquired Immunodeficiency SyndromeEconomicHealthcare FinancingHIV infectionsMultimorbidityPayment Models

Identifiers

PMID34184134
PMCPMC8602234

What OpenQuestion holds

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LicenceCC BY
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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.