Evidence map›Paper›PMID 40531782›Full record

ArticleEinstein (Sao Paulo, Brazil)2025

Impact evaluation of technical notes issued by NATJUS on healthcare judicialization.

Lucas Reis Correia, Luís Gustavo Nascimento de Paula, Julio Trecenti, Bruno Daleffi da Silva

Abstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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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

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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.

Lucas Reis CorreiaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0009-0003-4737-3293
Luís Gustavo Nascimento de PaulaHospital Israelita Albert Einstein, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-1921-5610
Julio TrecentiTerranova Consultoria, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-1680-6389
Bruno Daleffi da SilvaTerranova Consultoria, São Paulo, SP, Brazil.ORCID http://orcid.org/0009-0004-4234-276X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTechnical Support Centers of the Judiciary (NATJUST), provide health technology assessments to judges in health-related litigations against both public and private healthcare systems. These centers provide technical notes, that can assist Brazilian Courts in making provisional rulings and determining patient access to health services during legal proceedings.

objectiveThis study aimed to evaluate the impact of NATJUS technical notes on preliminary injunctions in lawsuits against the Brazilian Unified Health System. Specifically, we analyzed the alignment between judicial decisions and technical notes recommendations, assessed lawsuit costs, and examined NATJUS-generated savings for Brazilian Unified Health System. Furthermore, we examined the technical notes issued by Hospital Israelita Albert Einstein, which manages the national NATJUS.

methodsWe constructed a database of lawsuits with and without NATJUS technical notes. Using random forest models, we predicted the potential outcomes of preliminary injunctions where technical notes were available. Savings were estimated by examining the relationship between preliminary injunctions and case values, then compared with potential injunctions incorporating technical notes recommendations.

resultsThe technical notes recommendations and judges' decisions were aligned in 76% of the cases, with median savings from lawsuits amounting to BRL10,120. The estimated impact of NATJUS technical notes for Brazilian Unified Health System indicated median savings of BRL1,312.74 per case per year. Between 2020 and 2022, NATJUS resulted in total savings of BRL111.4 million. Focusing on Hospital Israelita Albert Einstein NATJUS, the cost savings for Brazilian Unified Health System amounted to BRL27 million, which indicates a return on investment of BRL1.66 per BRL1 invested in the project.

conclusionOur findings indicate the economic importance of technical notes in shaping preliminary injunctions, not only elevating decision quality but also fostering evidence-based judicial processes.

Indexed as

Delivery of Health CareNational Health ProgramsTechnology Assessment, BiomedicalBrazilHealth Services AccessibilityHumans

Identifiers

PMID40531782
PMCPMC12176339

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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.