8 research outputs found

    Effect of a conditional cash transfer programme on leprosy treatment adherence and cure in patients from the nationwide 100 Million Brazilian Cohort: a quasi-experimental study.

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    BACKGROUND: Indirect financial costs and barriers to health-care access might contribute to leprosy treatment non-adherence. We estimated the association of the Brazilian conditional cash transfer programme, the Programa Bolsa Família (PBF), on leprosy treatment adherence and cure in patients in Brazil. METHODS: In this quasi-experimental study, we linked baseline demographic and socioeconomic information for individuals who entered the 100 Million Brazilian Cohort between Jan 1, 2007, and Dec 31, 2014, with the PBF payroll database and the Information System for Notifiable Diseases, which includes nationwide leprosy registries. Individuals were eligible for inclusion if they had a household member older than 15 years and had not received PBF aid or been diagnosed with leprosy before entering the 100 Million Brazilian Cohort; they were excluded if they were partial receivers of PBF benefits, had missing data, or had a monthly per-capita income greater than BRL200 (US$50). Individuals who were PBF beneficiaries before leprosy diagnosis were matched to those who were not beneficiaries through propensity-score matching (1:1) with replacement on the basis of baseline covariates, including sex, age, race or ethnicity, education, work, income, place of residence, and household characteristics. We used logistic regression to assess the average treatment effect on the treated of receipt of PBF benefits on leprosy treatment adherence (six or more multidrug therapy doses for paucibacillary cases or 12 or more doses for multibacillary cases) and cure in individuals of all ages. We stratified our analysis according to operational disease classification (paucibacillary or multibacillary). We also did a subgroup analysis of paediatric leprosy restricted to children aged up to 15 years. FINDINGS: We included 11?456 new leprosy cases, of whom 8750 (76·3%) had received PBF before diagnosis and 2706 (23·6%) had not. Overall, 9508 (83·0%) patients adhered to treatment and 10?077 (88·0%) were cured. After propensity score matching, receiving PBF before diagnosis was associated with adherence to treatment (OR 1·22, 95% CI 1·01-1·48) and cure (1·26, 1·01-1·58). PBF receipt did not significantly improve treatment adherence (1·37, 0·98-1·91) or cure (1·12, 0·75-1·67) in patients with paucibacillary leprosy. For patients with multibacillary disease, PBF beneficiaries had better treatment adherence (1·37, 1·08-1·74) and cure (1·43, 1·09-1·90) than non-beneficiaries. In the propensity score-matched analysis in 2654 children younger than 15 years with leprosy, PBF exposure was not associated with leprosy treatment adherence (1·55, 0·89-2·68) or cure (1·57, 0·83-2·97). INTERPRETATION: Our results suggest that being a beneficiary of the PBF, which facilitates cash transfers and improved access to health care, is associated with greater leprosy multidrug therapy adherence and cure in multibacillary cases. These results are especially relevant for patients with multibacillary disease, who are treated for a longer period and have lower cure rates than those with paucibacillary disease. FUNDING: CONFAP/ESRC/MRC/BBSRC/CNPq/FAPDF-Doenças Negligenciadas, the UK Medical Research Council, the Wellcome Trust, and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brazil (CAPES)

    Linking nationwide health and social registry data to inform the policy for Tuberculosis contact tracing in Brazil.

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    Objectives Mitigating the socioeconomic determinants of Tuberculosis (TB) and systematic screening of contacts and high-risk groups are targets of The World Health Organization (WHO) End TB Strategy by 2035. Our aim was to link socioeconomic information to TB datasets to inform policy makers in Brazil and contribute to addressing current challenges. Approach Following a signed technical cooperation agreement with the Ministry of Health (MoH), we linked nationwide data on 1.405.682 registries of TB diagnosed between 2004 and 2019 in Brazil to 131.697.800 demographic and socioeconomic registries from the 100 Million Brazilian Cohort (2001-2018) previously linked to nationwide mortality data. We established close links with TB managers to understand the database, clean and deduplicate registries and to analyse the data. We took advantage of the data structure, to set up a cohort of household contacts of TB patients and produce estimates of TB incidence by subgroups of demographic and socioeconomic characteristics. Results The interaction of the MoH was effective and facilitated by a robust TB Programme in the country. 567.999 (40,41%) TB cases were linked to the 100 Million Brazilian Cohort with high specificity (93.6%) and sensitivity (94.6%). Using family identifiers, we established the first TB case within a family unit (i.e., primary case) and followed their household contacts up to 15 years. We found the TB incidence among household contacts to be 427.8/100.000 person-years (95%CI 419.1-436.8). In the first year following the identification of the primary case, there was higher cumulative incidence among household contacts under 5 years of age, which was followed by a plateau of cases in this age group. Cummulative incidence in the other age groups presented a constant increase over time. Conclusion The close collaboration with the MoH, the development of an effective linkage algorithm and the availability of large socioeconomic data allowed for a unique analysis of the high incidence of TB among household contacts. Findings reinforce need for constant dialogue among stakeholders to strengthen case detection by primary health care

    Estimating underreporting of leprosy in Brazil using a Bayesian approach.

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    BACKGROUND: Leprosy remains concentrated among the poorest communities in low-and middle-income countries and it is one of the primary infectious causes of disability. Although there have been increasing advances in leprosy surveillance worldwide, leprosy underreporting is still common and can hinder decision-making regarding the distribution of financial and health resources and thereby limit the effectiveness of interventions. In this study, we estimated the proportion of unreported cases of leprosy in Brazilian microregions. METHODOLOGY/PRINCIPAL FINDINGS: Using data collected between 2007 to 2015 from each of the 557 Brazilian microregions, we applied a Bayesian hierarchical model that used the presence of grade 2 leprosy-related physical disabilities as a direct indicator of delayed diagnosis and a proxy for the effectiveness of local leprosy surveillance program. We also analyzed some relevant factors that influence spatial variability in the observed mean incidence rate in the Brazilian microregions, highlighting the importance of socioeconomic factors and how they affect the levels of underreporting. We corrected leprosy incidence rates for each Brazilian microregion and estimated that, on average, 33,252 (9.6%) new leprosy cases went unreported in the country between 2007 to 2015, with this proportion varying from 8.4% to 14.1% across the Brazilian States. CONCLUSIONS/SIGNIFICANCE: The magnitude and distribution of leprosy underreporting were adequately explained by a model using Grade 2 disability as a marker for the ability of the system to detect new missing cases. The percentage of missed cases was significant, and efforts are warranted to improve leprosy case detection. Our estimates in Brazilian microregions can be used to guide effective interventions, efficient resource allocation, and target actions to mitigate transmission

    Effectiveness of a conditional cash transfer programme on TB cure rate: a retrospective cohort study in Brazil.

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    BACKGROUND: Despite the efforts of the National Tuberculosis Programme, TB cure rates in Brazil are sub-optimal. The End TB Strategy for post-2015 identifies conditional cash transfer interventions as powerful tools to improve TB control indicators, including TB cure rate. This study aims to inform the new policy by evaluating the role of the Bolsa Familia Programme (BFP), one of the largest conditional cash transfer programmes in the world, on TB cure rates in Brazil. METHODS: We undertook a retrospective cohort study, based on an unprecedented record linkage of socioeconomic and health data, to compare cases of patients newly diagnosed with TB in 2010 receiving BFP cash benefits (n=5788) with those who did not (n=1467) during TB treatment. We used Poisson regression with robust variance to estimate the relative risks for TB cure adjusted for known confounders. RESULTS: The cure rate among patients exposed to BFP during TB treatment was 82.1% (4752/5788), 5.2% higher than among those not exposed. This was confirmed after controlling for TB type, diabetes mellitus, HIV status and other relevant clinical and socioeconomic covariates (RR=1.07, 95% CI 1.04 to 1.11 for cure rates among BFP beneficiaries). This association seemed higher for patients not under directly observed treatment (RR=1.11; 95% CI 1.05 to 1.16). CONCLUSIONS: Although further research is needed, this study suggests that conditional cash transfer programmes can contribute to improve TB cure rate in Brazil

    Leprosy in children under 15 years of age in Brazil: A systematic review of the literature

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    <div><p>Background</p><p>Leprosy is a chronic infectious disease neglected, caused by <i>Mycobacterium leprae</i>, considered a public health problem because may cause permanent physical disabilities and deformities, leading to severe limitations. This review presents an overview of the results of epidemiological studies on leprosy occurrence in childhood in Brazil, aiming to alert health planners and managers to the actual need to institute special control strategies.</p><p>Methodology/Principal findings</p><p>Data collection consisted of an electronic search for publications in eight databases: <i>Literatura Latino-Americana e do Caribe em Ciências da Saúde</i> (LILACS), Scientific Electronic Library Online (SciELO), PuBMed, <i>Biblioteca Virtual em Saúde</i> (BVS), SciVerse Scopus (Scopus), CAPES theses database, CAPES journals database and Web of Science of papers published up to 2016. After apply selection criteria, twenty-two papers of studies conducted in four different regions of Brazil and published between 2001 and 2016 were included in the review. The leprosy detection rate ranged from 10.9 to 78.4 per 100,000 inhabitants. Despite affecting both sexes, leprosy was more common in boys and in 10-14-year-olds. Although the authors reported a high cure proportion (82–90%), between 1.7% and 5.5% of the individuals developed a disability resulting from the disease.</p><p>Conclusions/Significance</p><p>The findings of this review shows that leprosy situation in Brazilian children under 15 years is extremely adverse in that the leprosy detection rate remains high in the majority of studies. The proportion of cases involving disability is also high and reflects the difficulties and the poor effectiveness of actions aimed at controlling the disease. The authors suggest the development of studies in spatial clusters of leprosy, where beyond the routine actions established, are included news strategies of active search and campaigns and actions of educations inside the clusters of this disease. The new agenda needs to involve the precepts of ethical, humane and supportive care, in order to achieve a new level of leprosy control in Brazil.</p></div

    Investigating extradomiciliary transmission of tuberculosis: An exploratory approach using social network patterns of TB cases and controls and the genotyping of Mycobacterium tuberculosis

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    Extradomiciliary contacts have been overlooked in the study of TB transmission due to difficulties in identifying actual contacts in large populations. Complex network analysis provides a framework to model the structure of contacts, specially extradomiciliary ones. We conducted a study of incident sputum-positive TB cases and healthy controls occurring in a moderate TB burden city. Cases and controls were interviewed to obtain data regarding the usual locations of residence, work, study, and leisure. Mycobacterium tuberculosis isolated from sputum was genotyped. The collected data were used to build networks based on a framework of putative social interactions indicating possible TB transmission. A user-friendly open source environment (GraphTube) was setup to extract information from the collected data. Networks based on the likelihood of patient-patient, patient-healthy, and healthy-healthy contacts were setup, depending on a constraint of geographical distance of places attended by the volunteers. Using a threshold for the geographical distance of 300 m, the differences between TB cases and controls are revealed. Several clusters formed by social network nodes with high genotypic similarity were characterized. The developed framework provided consistent results and can be used to support the targeted search of potentially infected individuals and to help to understand the TB transmission

    SNP typing reveals similarity in Mycobacterium tuberculosis genetic diversity between Portugal and Northeast Brazil

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    a Instituto Gulbenkian de Ciencia, 2781-901 Oeiras, Portugal b Instituto Nacional de Saude Dr. Ricardo Jorge, 4150-180 Porto, Portugal c Centro Hospitalar de Vila Nova de Gaia/Espinho, 4434-502 Vila Nova de Gaia, Portugal d Departamento de Epidemiologia Clinica, Medicina Preventiva e Saúde Pública, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal e Direccao-Geral da Saude, 1049-005 Lisboa, Portugal f Instituto de Doenças do Torax, Universidade Federal do Rio de Janeiro, 21.941-913 Rio de Janeiro, Brazil g Instituto de Ciencias da Saude, Universidade Federal da Bahia, 40.150-510 Salvador, Brazil h Centro de Pesquisas Goncalo Moniz, Fundacao Oswaldo Cruz, 40.296-710 Salvador, Brazil i Centro de Pesquisa em Tuberculose, Universidade Federal do Rio de Janeiro, 21.941-913 Rio de Janeiro, BrazilSubmitted by Ana Maria Fiscina Sampaio ([email protected]) on 2017-08-29T17:26:32Z No. of bitstreams: 1 Lopes JS SNP typing reveals....pdf: 981211 bytes, checksum: 474bdf65e7c98d4a1ae19c4168888426 (MD5)Approved for entry into archive by Ana Maria Fiscina Sampaio ([email protected]) on 2017-08-29T17:39:24Z (GMT) No. of bitstreams: 1 Lopes JS SNP typing reveals....pdf: 981211 bytes, checksum: 474bdf65e7c98d4a1ae19c4168888426 (MD5)Made available in DSpace on 2017-08-29T17:39:24Z (GMT). No. of bitstreams: 1 Lopes JS SNP typing reveals....pdf: 981211 bytes, checksum: 474bdf65e7c98d4a1ae19c4168888426 (MD5) Previous issue date: 2013National Counsel of Technological and Scientific Development (CNPQ) [Project Number 410498/2006-8] and Coordination of Improvement of Higher Education Personnel (CAPES) [Project Number 23038.005107/2011-83].Múltipla – ver em NotasHuman tuberculosis is an infectious disease caused by bacteria from the Mycobacterium tuberculosis complex (MTBC). Although spoligotyping and MIRU-VNTR are standard methodologies in MTBC genetic epidemiology, recent studies suggest that Single Nucleotide Polymorphisms (SNP) are advantageous in phylogenetics and strain group/lineages identification. In this work we use a set of 79 SNPs to characterize 1987 MTBC isolates from Portugal and 141 from Northeast Brazil. All Brazilian samples were further characterized using spolygotyping. Phylogenetic analysis against a reference set revealed that about 95% of the isolates in both populations are singly attributed to bacterial lineage 4. Within this lineage, the most frequent strain groups in both Portugal and Brazil are LAM, followed by Haarlem and X. Contrary to these groups, strain group T showed a very different prevalence between Portugal (10%) and Brazil (1.5%). Spoligotype identification shows about 10% of mis-matches compared to the use of SNPs and a little more than 1% of strains unidentifiability. The mis-matches are observed in the most represented groups of our sample set (i.e., LAM and Haarlem) in almost the same proportion. Besides being more accurate in identifying strain groups/lineages, SNP-typing can also provide phylogenetic relationships between strain groups/lineages and, thus, indicate cases showing phylogenetic incongruence. Overall, the use of SNP-typing revealed striking similarities between MTBC populations from Portugal and Brazil
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