Evidence map›Paper›PMID 42398989›Full record

ArticleBMJ open2026

Impact of a non-contributory pension for older adults on hospitalisations and mortality: a protocol for a natural experimental study of the Brazilian continuous cash benefit (BPC).

Samuel Araujo Gomes da Silva, Francine de Souza Dias, Joanna M N Guimarães, Gustavo Casais, Ana L Moncayo, Ronal Alejandro Grijalva Ruiz, Daiane Borges Machado, Flávia Jôsi Oliveira Alves, Srinivasa Vittal Katikireddi, Alastair H Leyland and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Samuel Araujo Gomes da SilvaCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil samaraujogo@gmail.com.ORCID http://orcid.org/0000-0001-6382-2448
Francine de Souza DiasCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0001-5621-1796
Joanna M N GuimarãesCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0002-6283-1008
Gustavo CasaisCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0002-8332-5657
Ana L MoncayoCentro de Investigación para la Salud en América Latina (CISeAL), Pontificia Universidad Católica del Ecuador, Quito, Ecuador.ORCID http://orcid.org/0000-0003-3592-7503
Ronal Alejandro Grijalva RuizUniversidad Internacional del Ecuador UIDE, Quito, Ecuador.ORCID http://orcid.org/0009-0008-9531-3005
Daiane Borges MachadoCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0003-2959-4650
Flávia Jôsi Oliveira AlvesCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0003-1613-2270
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK.ORCID http://orcid.org/0000-0001-6593-9092
Alastair H LeylandMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, Scotland, UK.ORCID http://orcid.org/0000-0003-3741-7099
Maurício Lima BarretoCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0002-0215-4930
Rita de Cássia RibeiroCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0002-8387-9254
Peter CraigMRC/CO Social and Public Health Sciences Unit, Glasgow University, Glasgow, UK.ORCID http://orcid.org/0000-0002-7653-5832
Julia PescariniCentro de Integração de Dados e Conhecimentos para Saúde (Cidacs), FIOCRUZ Bahia, Salvador, Bahia, Brazil.ORCID http://orcid.org/0000-0001-8711-9589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe continuous cash benefit (Benefício de Prestação Continuada, BPC) is Brazil's main non-contributory social pension. It guarantees a monthly income equivalent to one minimum wage to individuals aged ≥65 years and to people with disabilities living in poverty, but evidence on its health effects remains limited. This protocol describes the design and methods for evaluating the effects of BPC on hospitalisations and mortality among older adults and their household members. METHODS AND ANALYSIS: This natural experiment study uses linked administrative records from the 100 Million Brazilian Cohort (2001-2021), BPC payments (2016-2021), mortality (2001-2020) and hospitalisation data (2008-2018). Eligibility for elders is defined by age (≥65 years) and monthly family per capita income (<¼ of the minimum wage or up to 1/2 the minimum wage for specified groups). We defined as treated individuals who initiate BPC receipt from 2016 onwards. Untreated individuals are income or age-eligible or near-eligible adults who do not receive the benefit. The study population comprised people who were registered at any time in the cohort but were still alive on 1 January 2016. We triangulate two approaches. First, we will employ fuzzy regression discontinuity design using age and income eligibility thresholds to estimate local average treatment effects for different bandwidths. To assess the continuity assumption, we will analyse individuals aged 60 years or older to test outcome smoothness, while eligibility remains defined at age 65. Second, we will employ survival models with inverse probability of treatment weighting to estimate effects under conditional exchangeability assumptions. Outcomes include all-cause and cause-specific mortality and hospitalisations among older adults and their co-inhabitants. Analyses account for household clustering using cluster-robust SEs. Sensitivity analyses will assess robustness to data quality, municipal characteristics and potential overlap with Bolsa Família receipt. ETHICS AND DISSEMINATION: This study was approved by the Brazilian National Research Ethics Commission (CONEP) (approval number: 85981225.6.0000.0040), in accordance with the Brazilian National Health Council Resolution No. 466/2012. Findings will be disseminated through peer-reviewed publications, conference presentations, and policy briefs targeting stakeholders in social protection and health in Brazil. Results will also be shared with relevant governmental and non-governmental actors to support evidence-informed decision-making.

Indexed as

HospitalizationMortalityPensionsSocial SecurityAgedAged, 80 and overBrazilFemaleHumansIncomeMalePovertyResearch DesignAgedHealth Impact AssessmentSocial Support

Identifiers

PMID42398989
PMCPMC13343044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.