Evidence map›Paper›PMID 32489791›Full record

ArticleGlobal heart2020

Cost-Effectiveness of Rheumatic Heart Disease Echocardiographic Screening in Brazil: Data from the PROVAR+ Study: Cost-effectiveness of RHD screening in Brazil.

Jasper Ubels, Craig Sable, Andrea Z Beaton, Maria Carmo P Nunes, Kaciane K B Oliveira, Lara C Rabelo, Isabella M Teixeira, Gabriela Z L Ruiz, Letícia Maria M Rabelo, Alison R Tompsett and 4 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Global heart, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  8. Framework for developing cost-effectiveness analysis threshold: the case of Egypt.The Journal of the Egyptian Public Health Association · 2024
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  9. Review
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  15. The role of echocardiographic screening in reducing the burden of rheumatic heart disease in Latin America.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Article
  16. Review
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  18. Cardiovascular Statistics - Brazil 2021.Arquivos brasileiros de cardiologia · 2022
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  19. 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

14 authors at 5 institutions in 3 countries.

Jasper UbelsDepartment of Epidemiology and Global health, Umeå University, Umeå, Västerbotten, SE.
Craig SableChildren's National Health System, Washington, DC, US.
Andrea Z BeatonThe Heart Institute, Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, US.
Maria Carmo P NunesServiço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Kaciane K B OliveiraServiço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Lara C RabeloServiço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Isabella M TeixeiraDepartamento de Clínica Médica, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Gabriela Z L RuizDepartamento de Clínica Médica, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Letícia Maria M RabeloDepartamento de Clínica Médica, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Alison R TompsettThe Heart Institute, Cincinnati Childrens Hospital Medical Center, Cincinnati, OH, US.
Antonio Luiz P RibeiroServiço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
Klas-Göran SahlenDepartment of Epidemiology and Global health, Umeå University, Umeå, Västerbotten, SE.
Bruno R NascimentoServiço de Cardiologia e Cirurgia Cardiovascular e Centro de Telessaúde, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, BR.
PROVAR+ (Programa de RastreamentO da VAlvopatia Reumática e Outras Doenças Cardiovasculares) investigators
Hospital das Clínicas da Universidade Federal de Minas Gerais · BRUniversidade Federal de Minas Gerais · BRCincinnati Children's Hospital Medical Center · USUmeå University · SEChildren's National · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent years, new technologies - noticeably ultra-portable echocardiographic machines - have emerged, allowing for Rheumatic Heart Disease (RHD) early diagnosis. We aimed to perform a cost-utility analysis to assess the cost-effectiveness of RHD screening with handheld devices in the Brazilian context. Methods: A Markov model was created to assess the cost-effectiveness of one-time screening for RHD in a hypothetical cohort of 11-year-old socioeconomically disadvantaged children, comparing the intervention to standard care using a public perspective and a 30-year time horizon. The model consisted of 13 states: No RHD, Undiagnosed Asymptomatic Borderline RHD, Diagnosed Asymptomatic Borderline RHD, Untreated Asymptomatic Definite RHD, Treated Asymptomatic Definite RHD, Untreated Mild Clinical RHD, Treated Mild Clinical RHD, Untreated Severe Clinical RHD, Treated Severe Clinical RHD, Surgery, Post-Surgery and Death. The initial distribution of the population over the different states was derived from primary echo screening data. Costs of the different states were derived from the Brazilian public health system database. Transition probabilities and utilities were derived from published studies. A discount rate of 3%/year was used. A cost-effectiveness threshold of $25,949.85 per Disability Adjusted Life Year (DALY) averted is used in concordance with the 3x GDP per capita threshold in 2015. Results: RHD echo screening is cost-effective with an Incremental Cost-Effectiveness Ratio of $10,148.38 per DALY averted. Probabilistic modelling shows that the intervention could be considered cost-effective in 70% of the iterations. Conclusion: Screening for RHD with hand held echocardiographic machines in 11-year-old children in the target population is cost-effective in the Brazilian context. Highlights: A cost-effectiveness analysis showed that Rheumatic Heart Disease (RHD) echocardiographic screening utilizing handheld devices, performed by non-physicians with remote interpretation by telemedicine is cost-effective in a 30-year time horizon in Brazil.The model included primary data from the first large-scale RHD screening program in Brazilian underserved populations and costs from the Unified Health System (SUS), and suggests that the Incremental Cost-Effectiveness Ratio of the intervention is considerably below the acceptable threshold for Brazil, even after a detailed sensitivity analysis.Considering the high prevalence of subclinical RHD in Brazil, and the significant economic burden posed by advanced disease, these data are important for the formulation of public policies and surveillance approaches.Cost-saving strategies first implemented in Brazil by the PROVAR study, such as task-shifting to non-physicians, computer-based training, routine use of affordable devices and telemedicine for remote diagnosis may help planning RHD control programs in endemic areas worldwide.

Indexed as

BrazilCost-Benefit AnalysisEchocardiographyHumansMass ScreeningPrevalenceRheumatic Heart DiseaseVulnerable Populationscost-effectivenessechocardiographyrheumatic heart diseasescreening

Identifiers

PMID32489791
PMCPMC7218764
OpenAlexW3009452582

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.