Evidence map›Paper›PMID 40802343›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2025

Trends and clusters of tuberculosis treatment interruption among people experiencing homelessness in Brazil: influence of individual, social and programmatic factors.

Gabriel Pavinati, Lucas Vinícius de Lima, Melisane Regina Lima Ferreira, Simone Teresinha Protti Zanatta, Gabriela Tavares Magnabosco

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gabriel PavinatiUniversidade Estadual de Maringá, Graduate Program in Nursing - Maringá (PR), Brazil.ORCID http://orcid.org/0000-0002-0289-8219
Lucas Vinícius de LimaSecretaria Municipal de Saúde, Gerência de Planejamento - Maringá (PR), Brazil.ORCID http://orcid.org/0000-0002-9582-9641
Melisane Regina Lima FerreiraMinistério da Saúde, Coordenação-Geral de Vigilância da Tuberculose, Micoses Endêmicas e Micobactérias Não Tuberculosas - Brasília (DF), Brazil.ORCID http://orcid.org/0000-0003-1694-5124
Simone Teresinha Protti ZanattaUniversidade Federal de São Carlos, Graduate Program in Nursing - São Carlos (SP), Brazil.ORCID http://orcid.org/0000-0002-3891-0080
Gabriela Tavares MagnaboscoUniversidade Estadual de Maringá, Graduate Program in Nursing - Maringá (PR), Brazil.ORCID http://orcid.org/0000-0003-3318-6748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze temporal trends and state-level clusters of tuberculosis treatment interruption indicators among the homeless population in Brazil.

methodsThis is an ecological study, in which treatment interruption among homeless people with tuberculosis was assessed from 2015 to 2023. Joinpoint regression was used for trend analysis, stratified by sociodemographic and epidemiological variables. State clusters were identified by k-means clustering analysis, based on socioeconomic and programmatic indicators.

resultsTuberculosis treatment interruption increased among: men (average quarterly percent change - AQPC=0.15; 95% confidence interval - 95%CI 0.04-0.29), individuals aged 40-59 years (AQPC=0.38; 95%CI 0.25-0.53), tobacco users (AQPC=0.72; 95%CI 0.61-0.82), beneficiaries of social programs (AQPC=4.59; 95%CI 3.69-6.02), those without directly observed treatment (AQPC=0.49; 95%CI 0.39-0.63), without HIV coinfection (AQPC=0.38; 95%CI 0.30-0.51), and in the North (AQPC=1.51; 95%CI 0.96-2.21) and Midwest (AQPC=0.83; 95%CI 0.17-1.59) regions. According to the cluster analysis, cluster A had the lowest treatment interruption rate, low AIDS incidence, and better programmatic indicators. Cluster B had high poverty and low level of education and income, but strong primary health care performance. Cluster C stood out for its higher human development, better social indicators, and lower inequality. Cluster D concentrated the worst outcomes: higher treatment interruption, greater inequality, higher AIDS incidence, and weaker primary health care.

conclusionSocioeconomic and programmatic inequalities were evident in access and attachment to tuberculosis treatment among people experiencing homelessness in Brazil.

Indexed as

Antitubercular AgentsIll-Housed PersonsTuberculosisAdultBrazilCluster AnalysisFemaleHumansMaleMiddle AgedSociodemographic FactorsSocioeconomic FactorsTreatment InterruptionYoung AdultAntitubercular Agents

Identifiers

PMID40802343
PMCPMC12333893

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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.