[COVID-19 emergency operations center: experience of the Rio de Janeiro municipality, BrazilCentro de operaciones de emergencia en respuesta a la COVID-19: la experiencia del municipio de Rio de Janeiro]. / Centro de operações de emergência na COVID-19: a experiência do município do Rio de Janeiro.

The present report describes the implementation of an emergency operations center to coordinate the response to the COVID-19 pandemic in the municipality of Rio de Janeiro, Brazil. Following the public health emergency management framework proposed by the World Health Organization (WHO), this temporary center (COE COVID-19 RIO) started operating in January 2021. The report is organized along five themes: legal framework; structure, planning, and procedures; institutional articulation; health information for decision-making; and risk communication. Major advances obtained with the initiative include improvements in governance for the management of COVID-19, increase in the synergy among sectors and institutions, improved information sharing in relation to COVID-19 prevention and control measures, innovation in epidemiologic analyses, and gains in transparency and decision-making opportunities. In conclusion, even if conceived at an advanced stage of the pandemic in the municipality of Rio de Janeiro, the COE COVID-19 RIO has played a relevant role in shaping the city's responses to the pandemic. Also, despite its temporary character, the experience will leave a lasting legacy for the management of future public health emergencies in the municipality of Rio de Janeiro.

En el presente artículo se describe la experiencia al establecerse un centro de operaciones de emergencia (COE) para coordinar la respuesta a la pandemia de COVID-19 en el municipio de Rio de Janeiro (Brasil). Siguiendo el modelo de gestión de emergencias de salud pública promovido por la Organización Mundial de la Salud (OMS), este centro temporal se activó en enero del 2021. El informe se estructuró con base en cinco ejes temáticos: marco legal; estructura, planes y procedimientos; articulaciones institucionales; información en materia de salud para sustentar las decisiones; y comunicación sobre riesgos. Entre los principales avances relacionados con esta iniciativa cabe destacar los adelantos en cuanto a la gobernanza para organizar la forma de enfrentar la COVID-19, el aumento de la sinergia entre los sectores y las instituciones correspondientes, un mayor intercambio de información sobre las medidas de prevención y control de la enfermedad, innovación en los análisis epidemiológicos, mayor transparencia en la toma de decisiones y decisiones tomadas de manera más oportuna. Se llegó a la conclusión de que este COE, a pesar de que había sido establecido en una fase avanzada de la pandemia en la ciudad, tuvo un papel importante en la estructuración de la respuesta. Sin embargo, a pesar de su carácter temporal, la experiencia demostró ser un importante legado para enfrentar futuras emergencias de salud pública en el municipio de Rio de Janeiro.

Racial and socioeconomic disparities in multimorbidity and associated healthcare utilisation and outcomes in Brazil: a cross-sectional analysis of three million individuals.

BACKGROUND: Evidence is limited on racial/ethnic group disparities in multimorbidity and associated health outcomes in low- and middle-income countries hampering effective policies and clinical interventions to address health inequalities. METHODS: This study assessed race/ethnic and socioeconomic disparities in the prevalence of multimorbidity and associated healthcare utilisation, costs and death in Rio de Janeiro, Brazil. A cross-sectional analysis was carried out of 3,027,335 individuals registered with primary healthcare (PHC) services. Records included linked data to hospitalisation, mortality, and welfare-claimant (Bolsa Família) records between 1 Jan 2012 and 31 Dec 2016. Logistic and Poisson regression models were carried out to assess the likelihood of multimorbidity (two or more diagnoses out of 53 chronic conditions), PHC use, hospital admissions and mortality from any cause. Interactions were used to assess disparities. RESULTS: In total 13,509,633 healthcare visits were analysed identifying 389,829 multimorbid individuals (13%). In adjusted regression models, multimorbidity was associated with lower education (Adjusted Odds Ratio (AOR): 1.26; 95%CI: 1.23,1.29; compared to higher education), Bolsa Família receipt (AOR: 1.14; 95%CI: 1.13,1.15; compared to non-recipients); and black race/ethnicity (AOR: 1.05; 95%CI: 1.03,1.06; compared to white). Multimorbidity was associated with more hospitalisations (Adjusted Rate Ratio (ARR): 2.75; 95%CI: 2.69,2.81), more PHC visits (ARR: 3.46; 95%CI: 3.44,3.47), and higher likelihood of death (AOR: 1.33; 95%CI: 1.29,1.36). These associations were greater for multimorbid individuals with lower educational attainment (five year probability of death 1.67% (95%CI: 1.61,1.74%) compared to 1.13% (95%CI: 1.02,1.23%) for higher education), individuals of black race/ethnicity (1.48% (95%CI: 1.41,1.55%) compared to 1.35% (95%CI: 1.31,1.40%) for white) and individuals in receipt of welfare (1.89% (95%CI: 1.77,2.00%) compared to 1.35% (95%CI: 1.31,1.38%) for non-recipients). CONCLUSIONS: The prevalence of multimorbidity and associated hospital admissions and mortality are greater in individuals with black race/ethnicity and other deprived socioeconomic groups in Rio de Janeiro. Interventions to better prevent and manage multimorbidity and underlying disparities in low- and middle-income country settings are needed.

Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil.

BACKGROUND: Linking Brazilian databases demands the development of algorithms and processes to deal with various challenges including the large size of the databases, the low number and poor quality of personal identifiers available to be compared (national security number not mandatory), and some characteristics of Brazilian names that make the linkage process prone to errors. This study aims to describe and evaluate the quality of the processes used to create an individual-linked database for data-intensive research on the impacts on health indicators of the expansion of primary care in Rio de Janeiro City, Brazil. METHODS: We created an individual-level dataset linking social benefits recipients, primary health care, hospital admission and mortality data. The databases were pre-processed, and we adopted a multiple approach strategy combining deterministic and probabilistic record linkage techniques, and an extensive clerical review of the potential matches. Relying on manual review as the gold standard, we estimated the false match (false-positive) proportion of each approach (deterministic, probabilistic, clerical review) and the missed match proportion (false-negative) of the clerical review approach. To assess the sensitivity (recall) to identifying social benefits recipients' deaths, we used their vital status registered on the primary care database as the gold standard. RESULTS: In all linkage processes, the deterministic approach identified most of the matches. However, the proportion of matches identified in each approach varied. The false match proportion was around 1% or less in almost all approaches. The missed match proportion in the clerical review approach of all linkage processes were under 3%. We estimated a recall of 93.6% (95% CI 92.8-94.3) for the linkage between social benefits recipients and mortality data. CONCLUSION: The adoption of a linkage strategy combining pre-processing routines, deterministic, and probabilistic strategies, as well as an extensive clerical review approach minimized linkage errors in the context of suboptimal data quality.

Primary healthcare expansion and mortality in Brazil's urban poor: A cohort analysis of 1.2 million adults.

BACKGROUND: Expanding delivery of primary healthcare to urban poor populations is a priority in many low- and middle-income countries. This remains a key challenge in Brazil despite expansion of the country's internationally recognized Family Health Strategy (FHS) over the past two decades. This study evaluates the impact of an ambitious program to rapidly expand FHS coverage in the city of Rio de Janeiro, Brazil, since 2008. METHODS AND FINDINGS: A cohort of 1,241,351 low-income adults (observed January 2010-December 2016; total person-years 6,498,607) with linked FHS utilization and mortality records was analyzed using flexible parametric survival models. Time-to-death from all-causes and selected causes were estimated for FHS users and nonusers. Models employed inverse probability treatment weighting and regression adjustment (IPTW-RA). The cohort was 61% female (751,895) and had a mean age of 36 years (standard deviation 16.4). Only 18,721 individuals (1.5%) had higher education, whereas 102,899 (8%) had no formal education. Two thirds of individuals (827,250; 67%) were in receipt of conditional cash transfers (Bolsa Família). A total of 34,091 deaths were analyzed, of which 8,765 (26%) were due to cardiovascular disease; 5,777 (17%) were due to neoplasms; 5,683 (17%) were due to external causes; 3,152 (9%) were due to respiratory diseases; and 3,115 (9%) were due to infectious and parasitic diseases. One third of the cohort (467,155; 37.6%) used FHS services. In IPTW-RA survival analysis, an average FHS user had a 44% lower hazard of all-cause mortality (HR: 0.56, 95% CI 0.54-0.59, p < 0.001) and a 5-year risk reduction of 8.3 per 1,000 (95% CI 7.8-8.9, p < 0.001) compared with a non-FHS user. There were greater reductions in the risk of death for FHS users who were black (HR 0.50, 95% CI 0.46-0.54, p < 0.001) or pardo (HR 0.57, 95% CI 0.54-0.60, p < 0.001) compared with white (HR 0.59, 95% CI 0.56-0.63, p < 0.001); had lower educational attainment (HR 0.50, 95% CI 0.46-0.55, p < 0.001) for those with no education compared to no significant association for those with higher education (p = 0.758); or were in receipt of conditional cash transfers (Bolsa Família) (HR 0.51, 95% CI 0.49-0.54, p < 0.001) compared with nonrecipients (HR 0.63, 95% CI 0.60-0.67, p < 0.001). Key limitations in this study are potential unobserved confounding through selection into the program and linkage errors, although analytical approaches have minimized the potential for bias. CONCLUSIONS: FHS utilization in urban poor populations in Brazil was associated with a lower risk of death, with greater reductions among more deprived race/ethnic and socioeconomic groups. Increased investment in primary healthcare is likely to improve health and reduce health inequalities in urban poor populations globally.

The impact of the Brazilian Family Health Strategy and the conditional cash transfer on tuberculosis treatment outcomes in Rio de Janeiro: an individual-level analysis of secondary data.

Background: Unsuccessful tuberculosis outcomes are frequent; bold policies are needed to end the tuberculosis (TB) epidemic to attain the third Sustainable Development Goal (SDG) by 2030. We examined the effect of the Family Health Strategy (FHS) and its interactions with the conditional cash transfer programme (CTP) on TB outcomes in Rio de Janeiro, Brazil. Methods: We performed individual-based analyses of a database resulting from deterministic and probabilistic linkages of the TB information system, FHS registries and CTP payrolls. Patients ≥15 years old treated with the standard RHZE regimen were included. The rates of successful outcomes were analysed according to coverage by FHS. Effects from the CTP and its interactions with the FHS were examined among the poorest. Results: FHS coverage increased the likelihood for successful outcomes by 14% (12-17%) among 13 482 new cases, and by 35% (25-47%) among 1880 retreatment cases. The CTP had an independent effect but no interaction with the FHS among the poorest. Conclusions: This is the first individual-based study to show a relevant protection of poor urban communities regarding patient-important health outcomes by the Brazilian FHS and CTP. These findings support strategies of universal health coverage, primary care strengthening and social protection to achieve a major SDG.

Effect of inpatient and outpatient care on treatment outcome in tuberculosis: a cohort study.

OBJECTIVE: To identify individual- and health services-related factors associated with deaths in subjects diagnosed with tuberculosis (TB). METHODS: A nonconcurrent cohort study with passive follow-up was conducted using a probabilistic linkage method to analyze a sample of patients diagnosed and reported as having TB in 2006 and followed up until 2008. New cases, cases with previous treatment (readmission after loss to follow-up or relapse), and transfers across health services were included. Proportional hazards models were used to estimate the independent effect of covariates related to the individual and to the health services on mortality from all causes. RESULTS: Age above 60 years, admission to a hospital with emergency services, HIV-associated TB, and readmission to an outpatient facility after disease relapse or loss to follow-up were identified as risk factors for death. Variables related to process and results indicators of Brazil's National TB Program were not associated with mortality from all causes. CONCLUSIONS: Advanced age, previous treatment for TB, and treatment at a secondary-level outpatient facility or a hospital with emergency services on site were associated with mortality in TB patients. Better strategies to improve TB care delivered at health units are needed to prevent death from TB, especially among the elderly.

[Epidemiological surveillance of vertical transmission of syphilis: data from six federal units in Brazil]. / Vigilância epidemiológica da transmissão vertical da sífilis: dados de seis unidades federativas no Brasil.

OBJECTIVE: To describe the epidemiological profile of reported cases of syphilis in pregnancy and congenital syphilis in five states (Amazonas, Ceará, Espírito Santo, Rio de Janeiro, and Rio Grande do Sul) and the Federal District using data from the Reportable Disease Information System (SINAN). METHOD: This descriptive study including an ecological and cross-sectional evaluation employed data from SINAN Net. The syphilis detection rate in pregnancy and the congenital syphilis incidence rate per 1 000 live births were calculated. To identify pregnant women with syphilis who had an outcome of congenital syphilis, the two SINAN databases were linked using the RecLink software. Because the data were representative at the state (not national) level, comparisons were made between the units of the federation and not with the sum of cases. RESULTS: A growth in the syphilis detection rate in pregnancy was detected, ranging from 21% (Amazonas) to 75% (Rio de Janeiro) during the study period. The incidence of congenital syphilis followed the same trend of growth (ranging from 35.6% in the Federal District to 63.9% in Rio Grande do Sul), except for a 0.7% decline in Amazonas. The proportion of women with an outcome of congenital syphilis who had prenatal care ranged from 67.3% in Amazonas to 83.3% in the Federal District. Of the pregnant women with syphilis, 43% had an outcome of congenital syphilis. In pregnant women with syphilis and an outcome of congenital syphilis, maternal diagnosis was made prenatally in 74% and at delivery in 18%. The moment of diagnosis was ignored in 8% of the women. CONCLUSION: The increase in the syphilis detection rate may have resulted from an increase in the report rate. Ongoing monitoring of pregnant women is essential to eliminate syphilis.

Long-term protection from isoniazid preventive therapy for tuberculosis in HIV-infected patients in a medium-burden tuberculosis setting: the TB/HIV in Rio (THRio) study.

BACKGROUND: The duration of protection against tuberculosis provided by isoniazid preventive therapy is not known for human immunodeficiency virus (HIV)-infected individuals living in settings of medium tuberculosis incidence. METHODS: We conducted an individual-level analysis of participants in a cluster-randomized, phased-implementation trial of isoniazid preventive therapy. HIV-infected patients who had positive tuberculin skin tests (TSTs) were followed until tuberculosis diagnosis, death, or administrative censoring. Nelson-Aalen cumulative hazard plots were generated and hazards were compared using the log-rank test. Cox proportional hazards models were fitted to investigate factors associated with tuberculosis diagnosis. RESULTS: Between 2003 and 2009, 1954 patients with a positive TST were studied. Among these, 1601 (82%) initiated isoniazid. Overall tuberculosis incidence was 1.39 per 100 person-years (PY); 0.53 per 100 PY in those who initiated isoniazid and 6.52 per 100 PY for those who did not (adjusted hazard ratio [aHR], 0.17; 95% confidence interval [CI], .11-.25). Receiving antiretroviral therapy at time of a positive TST was associated with a reduced risk of tuberculosis (aHR, 0.69; 95% CI, .48-1.00). Nelson-Aalen plots of tuberculosis incidence showed a constant risk, with no acceleration in 7 years of follow-up for those initiating isoniazid preventive therapy. CONCLUSIONS: Isoniazid preventive therapy significantly reduced tuberculosis risk among HIV-infected patients with a positive TST. In a medium-prevalence setting, 6 months of isoniazid in HIV-infected patients with positive TST reduces tuberculosis risk over 7 years of follow-up, in contrast to results of studies in higher-burden settings in Africa.

Heterogeneity in tuberculosis transmission and the role of geographic hotspots in propagating epidemics.

The importance of high-incidence "hotspots" to population-level tuberculosis (TB) incidence remains poorly understood. TB incidence varies widely across countries, but within smaller geographic areas (e.g., cities), TB transmission may be more homogeneous than other infectious diseases. We constructed a steady-state compartmental model of TB in Rio de Janeiro, replicating nine epidemiological variables (e.g., TB incidence) within 1% of their observed values. We estimated the proportion of TB transmission originating from a high-incidence hotspot (6.0% of the city's population, 16.5% of TB incidence) and the relative impact of TB control measures targeting the hotspot vs. the general community. If each case of active TB in the hotspot caused 0.5 secondary transmissions in the general community for each within-hotspot transmission, the 6.0% of people living in the hotspot accounted for 35.3% of city-wide TB transmission. Reducing the TB transmission rate (i.e., number of secondary infections per infectious case) in the hotspot to that in the general community reduced city-wide TB incidence by 9.8% in year 5, and 29.7% in year 50-an effect similar to halving time to diagnosis for the remaining 94% of the community. The importance of the hotspot to city-wide TB control depended strongly on the extent of TB transmission from the hotspot to the general community. High-incidence hotspots may play an important role in propagating TB epidemics. Achieving TB control targets in a hotspot containing 6% of a city's population can have similar impact on city-wide TB incidence as achieving the same targets throughout the remaining community.

Impact of replacing smear microscopy with Xpert MTB/RIF for diagnosing tuberculosis in Brazil: a stepped-wedge cluster-randomized trial.

BACKGROUND: Abundant evidence on Xpert MTB/RIF accuracy for diagnosing tuberculosis (TB) and rifampicin resistance has been produced, yet there are few data on the population benefit of its programmatic use. We assessed whether the implementation of Xpert MTB/RIF in routine conditions would (1) increase the notification rate of laboratory-confirmed pulmonary TB to the national notification system and (2) reduce the time to TB treatment initiation (primary endpoints). METHODS AND FINDINGS: We conducted a stepped-wedge cluster-randomized trial from 4 February to 4 October 2012 in 14 primary care laboratories in two Brazilian cities. Diagnostic specimens were included for 11,705 baseline (smear microscopy) and 12,522 intervention (Xpert MTB/RIF) patients presumed to have TB. Single-sputum-sample Xpert MTB/RIF replaced two-sputum-sample smear microscopy for routine diagnosis of pulmonary TB. In total, 1,137 (9.7%) tests in the baseline arm and 1,777 (14.2%) in the intervention arm were positive (p<0.001), resulting in an increased bacteriologically confirmed notification rate of 59% (95% CI = 31%, 88%). However, the overall notification rate did not increase (15%, 95% CI =  -6%, 37%), and we observed no change in the notification rate for those without a test result (-3%, 95% CI = -37%, 30%). Median time to treatment decreased from 11.4 d (interquartile range [IQR] = 8.5-14.5) to 8.1 d (IQR = 5.4-9.3) (p = 0.04), although not among confirmed cases (median 7.5 [IQR = 4.9-10.0] versus 7.3 [IQR = 3.4-9.0], p = 0.51). Prevalence of rifampicin resistance detected by Xpert was 3.3% (95% CI = 2.4%, 4.3%) among new patients and 7.4% (95% CI = 4.3%, 11.7%) among retreatment patients, with a 98% (95% CI = 87%, 99%) positive predictive value compared to phenotypic drug susceptibility testing. Missing data in the information systems may have biased our primary endpoints. However, sensitivity analyses assessing the effects of missing data did not affect our results. CONCLUSIONS: Replacing smear microscopy with Xpert MTB/RIF in Brazil increased confirmation of pulmonary TB. An additional benefit was the accurate detection of rifampicin resistance. However, no increase on overall notification rates was observed, possibly because of high rates of empirical TB treatment. TRIAL REGISTRATION: ClinicalTrials.gov NCT01363765. Please see later in the article for the Editors' Summary.

Operational lessons drawn from pilot implementation of Xpert MTB/Rif in Brazil.

PROBLEM: The World Health Organization has endorsed the Xpert MTB/RIF (Xpert), an automated polymerase-chain-reaction-based assay, for the rapid diagnosis of tuberculosis. However, large-scale use of a new technology calls for preparation and adaptation. APPROACH: A pilot implementation study was conducted in two Brazilian cities to explore the replacement of sputum smear microscopy with Xpert. The laboratories included covered 70% of the tuberculosis cases diagnosed, had no overlap in population catchment areas, handled different workloads and were randomly shifted to Xpert. Sputum samples were collected through the same routine procedures. Before the study the medical information system was prepared for the recording of Xpert results. Laboratory technicians were trained to operate Xpert machines and health workers were taught how to interpret the results. LOCAL SETTING: The average annual tuberculosis incidence in Brazil is around 90 cases per 100,000 population. However, co-infection with the human immunodeficiency virus and multidrug resistance are relatively infrequent (10% and < 2%, respectively). RELEVANT CHANGES: Of the tested sputum samples, 7.3% were too scanty for Xpert and had to be examined microscopically. Ten per cent of Xpert equipment needed replacement, but spare parts were not readily available in the country. Absence of patient identification numbers led to the introduction of errors in the medical information system. LESSONS LEARNT: For nationwide scale-up, a local service provider is needed to maintain the Xpert system. Ensuring cartridge availability is also essential. The capacity to perform smear microscopy should be retained. The medical information system needs updating to allow efficient use of Xpert.

Maternal health surveillance panel: a tool for expanding epidemiological surveillance of women's health and its determinants.

OBJECTIVE: To present the methodology used in the development of two products for maternal health surveillance and its determinants and discuss their possible uses. METHODS: Based on a theoretical model of the determinants of maternal death and databases of Brazilian health information systems, two free products were developed: an interactive panel "surveillance of maternal health" and an educational material "Aparecida: a story about the vulnerability of Brazilian women to maternal death", both available on the website of the Brazilian Obstetric Observatory. RESULTS: More than 30 indicators were calculated for the period 2012-2020, containing information on socioeconomic conditions and access to health services, reproductive planning, prenatal care, delivery care, conditions of birth and maternal mortality and morbidity. The indicators related to severe maternal morbidity in public hospitalizations stand out, calculated for the first time for the country. The panel allows analysis by municipality or aggregated by health region, state, macro-region and country; historical series analysis; and comparisons across locations and with benchmarks. Information quality data are presented and discussed in an integrated manner with the indicators. In the educational material, visualizations with national and international data are presented, aiming to help in the understanding of the determinants of maternal death and facilitate the interpretation of the indicators. CONCLUSION: It is expected that the two products have the potential to expand epidemiological surveillance of maternal health and its determinants, contributing to the formulation of health policies and actions that promote women's health and reduce maternal mortality.

Blood levels of metallic chemical element exposure patterns and associated factors in a population living in an Industrial District in Brazil.

AIM: to estimate the level of metallic chemical elements in the population living in the Steel company vicinity in Santa Cruz, Rio de Janeiro, Brazil; and estimate the association between exposure to the Steel company and the blood metals concentrations patterns. METHOD: A cross-sectional study was carried out on 463 individuals aged 18+ years old residing 1+ years in the Steel company vicinity. Mg, Be, Co, Ba, Ni, Cd, Al, and Pb were assessed in blood by DRC-ICP-MS. Metallic chemical element concentration patterns were obtained by exploratory factor analysis in the studied population. Exposure was set as the distance (Km) from each participant's residence to the Steel company in Santa Cruz, georeferenced by GPS. The outcome was set as the positive factor loadings in the factor analysis, including Mg and Be (Factor-1), Co, Ba, and Ni (Factor-2), Cd, Al, and Pb (Factor-4). Crude and adjusted OR, and their respective 95 %CI, were estimated to explore associations between independent variables and the exposures to metallic elements positively associated with the factors using polychotomous logistic regression. RESULTS: A reduction of 19 % was found between each km distance from the residence and the Steel company and P50 concentration of Cd, Al, and Pb (ORP50=0.81; 95 %CI:0.67-0.97), after adjusting by age, sex, and smoking. No statistically significant associations were observed for the distance from residences and the Steel company, after adjusting for age, gender, having a domestic vegetable garden and chewing gum for Mg and Be concentrations (Factor-1) (ORP50=0.84; 95 %CI:0.70-1.01; ORP75=1.10; 95 %CI:0.91-1.34); nor for Co, Ba and Ni (Factor-2) blood concentrations(ORP50=1.10; 95 %CI:0.91-1.33; ORP75=1.03; 95 %CI:0.84-1.26), in the adjusted analysis. CONCLUSIONS: For each Km distance from residences to the Steel company, a 19 % reduction in the risk of Cd, Al, and Pb blood concentration was observed in the population living in Santa Cruz, Rio de Janeiro, Brazil.

Increased sensitivity in diagnosis of tuberculosis in HIV-positive patients through the small-membrane-filter method of microscopy.

The sensitivity of microscopy for the diagnosis of tuberculosis (TB) is around 50% but decreases by about 15% in patients with suspected TB who are coinfected with HIV. Here, we compared the accuracies of three microscopy methods for processing sputum smears (concentration by centrifugation with or without N-acetyl-L-cysteine [NALC] and concentration by filtration on a polycarbonate membrane) to that of culture on Ogawa-Kudoh medium as the gold standard method. Sputum samples were obtained from 432 patients with suspected pulmonary TB, of whom 60% were infected with HIV. Analysis was performed using the first specimen. Compared to the gold standard culture, the small-membrane-filter (SMF) method was the most sensitive microscopic method. In HIV-infected TB patients, the sensitivity of the SMF method was significantly higher than those for centrifugation of sputum samples with or without NALC treatment (61.9%, 47.6%, and 45.2%, respectively; P = 0.001). Similarly, in TB patients without HIV infection, the sensitivity of the SMF method was significantly higher than those for centrifugation of sputum samples with or without NALC treatment (81.8%, 63.6%, and 57.5%, respectively; P = 0.001). In the two study groups, TB patients with or without HIV, no significant differences between the specificities of the three methods were observed. Handling of the second sputum sample similarly by centrifugation with or without NALC and by the SMF method increased positivities by 13%, 11%, and 4%, respectively. The overall agreement between microscopy and culture was above 90% for all groups. Microscopic evaluation of the sputum samples treated with NALC compared to those not treated with NALC did not show any increase in sensitivity. Altogether, the sensitivity of the SMF method is higher than those of the other two microscopic methods studied without a loss of specificity.

Delays in treatment initiation and conclusion in women with stage IA to IIIB cervical cancer: A survival study in a hospital-based cohort from a developing country.

AIM: To evaluate the effect of delays in stage IA to IIIB cervical cancer treatment initiation and conclusion on hospital-based survival among Brazilian women. METHODS: A retrospective follow-up study was conducted in a stage IA to IIIB cervical cancer cohort treated from 2012 and 2014 and followed until December 31, 2017 in Rio de Janeiro. Delay in treatment initiation definition was defined based on the Brazilian law of 60 days for treatment initiation after diagnosis. Delay in treatment conclusion was defined based on the literature and sample distributions: < 120/121-200/> 200 days. The endpoint was death(from all causes or cervical cancer). Death causes and dates were obtained by a record linkage procedure between the hospital cancer registry and the Mortality Information System. Global 36-month survival and HRs were estimated by the KaplanMeier method and proportional Cox regression models, respectively. RESULTS: From 865 patients, 269(31.1%) died over the median follow-up time of 27 months. Delay on treatment initiation(>60-days) was 92.8%, while the delay in treatment conclusion(>120 days) was 87.5%. Overall survival was 61.3% (<60-days:62.6%; 61-90 days:63.5%). Among stage IIB-IIIB, women treated < 60-days presented 40.1% survival, while 61-90-days had 52.5%, and > 90-days had 53.3%. Delays in treatment conclusion significantly reduced survival[72.2%(<120-days) to 60.7%(>200-days)]. Multivariate analysis showed that delays in treatment initiation did not affect 36-month death risk. Compared to women concluding treatment in < 120-days, those taking 121-200-days or > 200-days showed increases in death risk of 89%(95%CI:1.10-3.24) and 111%(95%CI:1.31-3.39), respectively, regardless of age, stage, treatment protocol, and time to treatment initiation. CONCLUSION: Delays in cervical cancer treatment conclusion (but not treatment initiation) affected 36-month survival and death risk among Brazilians.

Associations between primary healthcare and infant health outcomes: a cohort analysis of low-income mothers in Rio de Janeiro, Brazil.

Background: Expanding primary healthcare to urban poor populations is a priority in many low-and middle-income countries and is essential to achieve universal health coverage (UHC). Between 2008 and 2016 the city of Rio de Janeiro undertook an ambitious programme to rapidly expand primary care to low-income areas through the family health strategy (FHS). Infant health impacts of this roll out are unknown. This study examines associations between maternal FHS utilisation and birth outcomes, neonatal and infant mortality. Methods: A cohort of 75,339 live births (January 2009-December 2014) to low-income mothers in Rio de Janeiro was linked to primary care, birth, hospital and death records. The relationship between maternal FHS use and infant health outcomes was assessed through logistic regression with inverse probability treatment weighting and regression adjustment. Socioeconomic inequalities in the associations between FHS use and outcomes were explored through interactions. Primary outcomes were neonatal and infant death. Thirteen secondary outcomes were also examined to explore other important health outcomes and potential mechanisms. Results: A total of 9002 (12.0%) infants were born to mothers in the cohort who used FHS services either before pregnancy or in the first two trimesters. There was a total of 527 neonatal and 893 infant deaths. Maternal FHS usage during the first two trimesters was associated with substantial reductions in neonatal [adjusted odds ratio (aOR): 0.527, 95% confidence interval (95% CI): 0.345; 0.806] and infant mortality (aOR: 0.672, 95% CI: 0.48; 0.924). Infants born to lower-income mothers and those without formal employment had larger reductions in neonatal and infant mortality associated with FHS use. Maternal FHS in the first two trimesters use was also associated with more antenatal care consultations and a lower risk of low birth weight and preterm birth. Interpretation: Expanding primary care to low-income populations in Rio de Janeiro was associated with improved infant health and health equity benefits. Funding: DFID/MRC/Wellcome Trust/ESRC.

Racial inequalities in mental healthcare use and mortality: a cross-sectional analysis of 1.2 million low-income individuals in Rio de Janeiro, Brazil 2010-2016.

INTRODUCTION: Mental health inequalities across racial and ethnic groups are large and unjust in many countries, yet these inequalities remain under-researched, particularly in low-income and middle-income countries such as Brazil. This study investigates racial and socioeconomic inequalities in primary healthcare usage, hospitalisation and mortality for mental health disorders in Rio de Janeiro, Brazil. METHODS: A cohort of 1.2 million low-income adults from Rio de Janeiro, Brazil with linked socioeconomic, demographic, healthcare use and mortality records was cross-sectionally analysed. Poisson regression models were used to investigate associations between self-defined race/colour and primary healthcare (PHC) usage, hospitalisation and mortality due to mental disorders, adjusting for socioeconomic factors. Interactions between race/colour and socioeconomic characteristics (sex, education level, income) explored if black and pardo (mixed race) individuals faced compounded risk of adverse mental health outcomes. RESULTS: There were 272 532 PHC consultations, 10 970 hospitalisations and 259 deaths due to mental disorders between 2010 and 2016. After adjusting for a wide range of socioeconomic factors, the lowest PHC usage rates were observed in black (adjusted rate ratio (ARR): 0.64; 95% CI 0.60 to 0.68; compared with white) and pardo individuals (ARR: 0.87; 95% CI 0.83 to 0.92). Black individuals were more likely to die from mental disorders (ARR: 1.68; 95% CI 1.19 to 2.37; compared with white), as were those with lower educational attainment and household income. In interaction models, being black or pardo conferred additional disadvantage across mental health outcomes. The highest educated black (ARR: 0.56; 95% CI 0.47 to 0.66) and pardo (ARR: 0.75; 95% CI 0.66 to 0.87) individuals had lower rates of PHC usage for mental disorders compared with the least educated white individuals. Black individuals were 3.7 times (ARR: 3.67; 95% CI 1.29 to 10.42) more likely to die from mental disorders compared with white individuals with the same education level. CONCLUSION: In low-income individuals in Rio de Janeiro, racial/colour inequalities in mental health outcomes were large and not fully explainable by socioeconomic status. Black and pardo Brazilians were consistently negatively affected, with lower PHC usage and worse mental health outcomes.

Excess mortality from all causes during the COVID-19 pandemic in the city of Rio de Janeiro, Brazil.

OBJECTIVE: To evaluate excess mortality in the city of Rio de Janeiro, Brazil, due to the COVID-19 pandemic (March 2020 to January 2022). METHODS: Ecological study using secondary data from the Brazilian Mortality Information System, having the city of Rio de Janeiro as the unit of analysis. Excess mortality was estimated by the difference between the mean number of all expected deaths and the mean number of observed deaths, considering the 2015-2019 period. The quantile regression method was adjusted. The total value of cases above that expected by the historical series was estimated. Among all deaths, cases of COVID-19 and Influenza as underlying causes of death were selected. The ratio between excess mortality and deaths due to COVID-19 was calculated. RESULTS: We identified an excess of 31,920 deaths by the mean (increase of 26.8%). The regression pointed to 31,363 excess deaths. We found 33,401 deaths from COVID-19 and 176 deaths from Influenza. The ratio between the verified excess mortality and deaths due to COVID-19 was 0.96 by the mean and 0.95 by the regression. CONCLUSION: The study pointed to large excess deaths during the COVID-19 pandemic in the city of Rio de Janeiro distributed in waves, including the period of the Influenza outbreak.

Contextualizing and optimizing novel strategies to improve the latent TB continuum of care: Insights from people living with HIV and health care providers in Brazil.

Tuberculosis (TB) causes 1 in 3 deaths among people living with HIV (PLHIV). Diagnosing and treating latent tuberculosis infection (LTBI) is critical to reducing TB incidence and mortality. Blood-based screening tests (e.g., QuantiFERON-TB Gold Plus (QFT+)) and shorter-course TB preventive therapy (TPT) regimens such as 3HP (3 months weekly isoniazid-rifapentine) hold significant promise to improve TB outcomes. We qualitatively explored barriers and solutions to optimizing QFT+ and 3HP among PLHIV in three cities in Brazil. We conducted 110 in-depth interviews with PLHIV, health care providers (HCP) and key informants (KI). Content analysis was conducted including the use of case summaries and comparison of themes across populations and contexts. LTBI screening and treatment practices were dependent on HCP's perceptions of whether they were critical to improving TB outcomes. Many HCP lacked a strong understanding of LTBI and perceived the current TPT regimen as complicated. HCP reported that LTBI screening and treatment were constrained by clinic staffing challenges. While PLHIV generally expressed willingness to consider any test or treatment that doctors recommended, they indicated HCP rarely discussed LTBI and TPT. TB testing and treatment requests were constrained by structural factors including financial and food insecurity, difficulties leaving work for appointments, stigma and family responsibilities. QFT+ and 3HP were viewed by all participants as tools that could significantly improve the LTBI cascade by avoiding complexities of TB skin tests and longer LTBI treatment courses. QFT+ and 3HP were perceived to have challenges, including the potential to increase workload on over-burdened health systems if not implemented alongside improved supply chains, staffing, and training, and follow-up initiatives. Multi-level interventions that increase understanding of the importance of LTBI and TPT among HCP, improve patient-provider communication, and streamline clinic-level operations related to QFT+ and 3HP are needed to optimize their impact among PLHIV and reduce TB mortality.

Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil.

OBJECTIVES: As middle-income countries strive to achieve the Sustainable Development Goals (SDGs), it remains unclear to what degree expanding primary care coverage can help achieve those goals and reduce within-country inequalities in mortality. Our objective was to estimate the potential impact of primary care expansion on cause-specific mortality in the 15 largest Brazilian cities. DESIGN: Microsimulation model. SETTING: 15 largest cities by population size in Brazil. PARTICIPANTS: Simulated populations. INTERVENTIONS: We performed survival analysis to estimate HRs of death by cause and by demographic group, from a national administrative database linked to the Estratégia de Saúde da Família (Family Health Strategy, FHS) electronic health and death records among 1.2 million residents of Rio de Janeiro (2010-2016). We incorporated the HRs into a microsimulation to estimate the impact of changing primary care coverage in the 15 largest cities by population size in Brazil. PRIMARY AND SECONDARY OUTCOME MEASURES: Crude and age-standardised mortality by cause, infant mortality and under-5 mortality. RESULTS: Increased FHS coverage would be expected to reduce inequalities in mortality among cities (from 2.8 to 2.4 deaths per 1000 between the highest-mortality and lowest-mortality city, given a 40 percentage point increase in coverage), between welfare recipients and non-recipients (from 1.3 to 1.0 deaths per 1,000), and among race/ethnic groups (between Black and White Brazilians from 1.0 to 0.8 deaths per 1,000). Even a 40 percentage point increase in coverage, however, would be insufficient to reach SDG targets alone, as it would be expected to reduce premature mortality from non-communicable diseases by 20% (vs the target of 33%), and communicable diseases by 15% (vs 100%). CONCLUSIONS: FHS primary care coverage may be critically beneficial to reducing within-country health inequalities, but reaching SDG targets will likely require coordination between primary care and other sectors.