SciELO - Scientific Electronic Library Online

vol.28 número2Raiva humana no Brasil: estudo descritivo, 2000-2017Organização dos serviços de saúde para o diagnóstico e tratamento dos casos de tuberculose em Manaus, Amazonas, 2014 índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados




  • Não possue artigos citadosCitado por SciELO

Links relacionados

  • Não possue artigos similaresSimilares em SciELO


Epidemiologia e Serviços de Saúde

versão impressa ISSN 1679-4974versão On-line ISSN 2237-9622

Epidemiol. Serv. Saúde vol.28 no.2 Brasília jun. 2019  Epub 27-Jun-2019 


Association between treatment outcome, sociodemographic characteristics and social benefits received by individuals with tuberculosis in Salvador, Bahia, Brazil, 2014-2016*

Kaio Vinicius Freitas de Andrade (orcid: 0000-0002-4603-9109)1  , Joilda Silva Nery (orcid: 0000-0002-1576-6418)2  , Gleide Santos de Araújo (orcid: 0000-0001-5256-755X)2  , Mauricio Lima Barreto (orcid: 0000-0002-0215-4930)2  , Susan Martins Pereira (orcid: 0000-0001-5291-454X)2 

1Universidade Estadual de Feira de Santana, Departamento de Saúde, Feira de Santana, BA, Brasil

2Universidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, BA, Brasil



to analyze association between tuberculosis treatment outcome, sociodemographic characteristics and receipt of social benefits.


this was a cohort study conducted in Salvador, Bahia, Brazil, in the period 2014-2016; we analyzed bivariate associations between treatment outcome, sociodemographic characteristics and social benefits.


216 individuals were followed, of whom 79.6% were cured; higher cure proportion was associated with schooling >9 years (87.5%; p=0.028), marital union (86.3%; p=0.031), and household density ≤2 individuals/bedroom (84.1%; p=0.013); we took as our reference individuals with schooling ≤9 years, not in marital union, and housing density >2 people/bedroom; higher cure proportion was also found among recipients of government and non-government benefits (90.5%), and among those who only received direct benefits (81.6%).


schooling >9 years, marital union, and household density ≤2 individuals/bedroom were associated with higher cure; this outcome was more frequent among individuals receiving government and non-government benefits, and among individuals receiving only direct benefits.

Keywords: Tuberculosis; Public Policy; Government Programs; Social Determinants of Health; Treatment Outcome; Cohort Studies


Tuberculosis (TB) continues to be an important public health problem both in Brazil and worldwide. In 2017, 69,569 new cases were notified in Brazil, corresponding to an incidence coefficient of 33.5 cases/100,000 inhabitants. In Salvador, a city in the Brazilian state of Bahia, this coefficient was 48.5 cases/100,000 inhab. in the same year, with a low cure proportion among new cases (66.3%) and a high proportion of treatment abandonment (12.1%), considering the national and international parameters for these indicators.1

According to the World Health Organization (WHO), TB infection has the highest mortality caused by a single agent in the world, surpassing HIV/AIDS.2 Due to its high disease burden, Brazil is one of the 30 priority countries for eliminating TB as a public health problem by 2035.2,3 In recognition of the emblematic social determination of TB, WHO proposes, among the most important measures to end this global epidemic, the consolidation of bold policies and support systems focusing on social protection and other actions to reduce poverty.2-4

The strong influence of socioeconomic characteristics on increased vulnerability to TB is well documented in the literature.5-8 Social inequalities, urbanization and accelerated population growth go hand in hand with individual factors such as age, education level, ethnicity/skin color, comorbidities, use of alcohol and other drugs, as well as other determining factors, such as food and nutritional insecurity, poor housing conditions and difficulties in accessing health services, thus impacting on the transmission chain of the infectious agent, disease progression and treatment outcomes.7,9

Social protection encompasses a broad set of strategies that can contribute to the reduction of socioeconomic inequalities and poverty, with positive impacts on diseases related to social status, especially TB.10 Recently, results of a meta-analysis showed that such strategies are associated with curing TB and reducing the risk of treatment abandonment in low- or middle-income countries or in countries that have a high disease burden.11

In Brazil, social protection provided by the State is structured within Social Security and made effective through policies and programs linked to Social Work, Social Security and Public Health.12 In the last decade, social programs, especially those based on conditional income transfer, have gained greater visibility throughout the world. Recent studies have demonstrated that the Bolsa Família Program (PBF) has contributed to the reduction in TB13 incidence and a greater proportion of cure among people affected by TB in Brazil.14,15 An example of this is the success achieved in the treatment of individuals living in Rio de Janeiro, one of Brazil’s state capitals with the worst TB indicators.16

Although PBF assists approximately 14 million Brazilian families, it is not aimed at people with TB: slightly more than 13% of individuals affected by the disease are beneficiaries of the program.14 In fact, there is no government benefit specifically for this population group at the national level.12

Data on the provision of social benefits to people with TB in Brazil are still scarce. In 2015, the National Tuberculosis Control Program (NTCP) found that out of 181 priority municipalities for TB control, only 81 (44.7%) provided some type of social benefit or incentive for adherence to treatment. It was also found that the provision of such benefits was not universal and, in many cases, there was discontinuity in their delivery.17

This study aimed to analyze the association between TB treatment outcome, sociodemographic characteristics and social benefits received by patients.


This is a cohort study conducted in the municipality of Salvador in Bahia state, where the population was estimated to be 2,953,986 inhabitants in 2017. Salvador is the most populous municipality in the Northeast region of Brazil and is the country’s fourth largest state capital.18 TB care in Salvador is decentralized in Brazilian National Health System (SUS) primary health care units (PHU) and Family Health Units (FHU) which are responsible for TB diagnosis, treatment and case follow-up. Secondary TB care services are responsible only for more complex cases. Other TB patients diagnosed in secondary care are referred to treatment and follow-up in primary health care services.19

The population we studied was drawn from a cohort of individuals with pulmonary TB living in Salvador. We selected only new cases that received social benefits during treatment and follow-up in Primary Health Care - PHUs and FHUs - between September 2014 and October 2016.

The study’s eligibility criteria were: (i) minimum age of 15 years old; (ii) new cases diagnosed with pulmonary TB using clinical criteria, confirmed with the rapid molecular test for TB (Xpert MTB/RIF) introduced in the municipality in October of 2014, sputum smear microscopy, culture and/or x-rays; (iii) absence of history of multidrug-resistant TB (MDR-TB); (iv) receipt of at least one social benefit during treatment; and (v) monitoring by the municipality’s public primary health care services (PHU/FHU).

Based on the inclusion criteria described above, we selected only the 216 participants of the original cohort who received social benefits during treatment. This subsample provided a statistical power of 70% to detect a difference of 15% between the comparison groups - patients exposed to government benefits versus non-government benefits; patients exposed to direct vs. indirect benefits -, with a significance level of 5%.20

Data collection for the cohort was based on questionnaires with a consecutive sample of individuals diagnosed at a hospital unit and also at 10 primary health care units, which together accounted for the treatment of more than 60% of cases reported in the municipality in 2014, distributed over nine of Salvador’s 12 municipal health districts.19 Data on socioeconomic variables and data relating to social benefits were obtained through interviews. Data on case closures were either obtained through interviews carried out at the end of the 6th month of treatment, or from FHU/PHU medical records and/or the Tuberculosis Notifiable Diseases Information System (SINAN-TB) at the Municipal Health Department.

The team of interviewers was trained according to the guidelines contained in an operational procedures manual developed by experienced researchers. The data collection instrument, previously tested with 20 TB patients, was also evaluated by experts. The forms were filled in electronically using Motorola Xoom 2 Media Edition MZ607 16GB® portable computers (tablets). Soon after they were filled in, all forms were automatically forwarded to an electronic database, reviewed and checked for any inconsistencies by researchers responsible for the study.

The study variables were grouped in two ways:

  • a) Socioeconomic characterization of beneficiaries

  • - sex (male; female);

  • - age (in years: 15-19; 20-59; 60 and over);

  • - ethnicity/skin color (black or brown; white/yellow/indigenous);

  • - education level (in years of study: up to 9; more than 9);

  • - marital status (not in marital union; in marital union);

  • - has children (yes; no);

  • - occupation (yes; no);

  • - monthly per capita family income in monthly minimum wages (categorized in accordance with national income criterion for the definition of people in a situation of poverty: up to 1/2 monthly minimum wage; more than 1/2 monthly minimum wage);21 and

  • - household density (number of residents per bedroom: up to 2; more than 2).

  • b) Social benefits characterization

  • - benefit identification;

  • - paying source (government, non-government; both); and

  • - benefit category (direct; indirect; both).

Monetary benefits provided directly to the respective beneficiaries were classified as direct: Bolsa Família Program, retirement pension, sickness allowance (Auxílio-doença), invalidity pensions and other financial aid.

Non-monetary benefits were classified as indirect: e.g. basic food baskets, free public transport, electricity tariff discount, posting correspondence at reduced rates, exemption from registration fees for civil service recruitment tests, housing program, popular telephone tariffs, food purchasing program and others.21

Initially, we carried out a descriptive analysis of the socioeconomic characteristics and variables relating to social benefits. Then we carried out association tests (Pearson’s chi-squared test and Fisher’s exact test, with a significance level of 5%) between the sociodemographic characteristics, the social benefits received and the outcome “TB cure”, the latter being considered to be (i) when an individual has completed treatment and had two negative sputum smear microscopy results or, in the absence of these results, (ii) when an individual has completed treatment with remission of symptoms accompanied by an additional examination with a negative result.1,4,17,19 The data were processed and analyzed using Stata® version 12.0.

The study project was approved by the Universidade Federal da Bahia (UFBA) Institute of Collective Health Ethics Research Committee under Report No. 181,078 (Certification of Submission for Ethical Appraisal - CAAE - No. 11792912.2.0000.5030). All participants were invited to sign a Free and Informed Consent Form and people under 18 years of age were included in the study with the consent of their legal representative, in accordance with the consent form and the law.


Among the 216 participants there was a predominance of individuals of the male sex (60.6%), people aged 20 to 59 (71.3%), with black or brown ethnicity/skin color (92.6%), with up to 9 years of schooling (63.0%), not in marital union (single/separated or divorced/widowed: 56.0%) and who had children (72.2%); the majority (73.6%) had a monthly per capita income of up to half a monthly minimum wage, had an occupation (60.6%), and lived in households with up to two people per bedroom (69.9%) (Table 1).

Table 1 - Socioeconomic characteristics of individuals with pulmonary tuberculosis who were receiving social benefits (crude and stratified according to paying source and category of social benefits), Salvador, Bahia, 2014-2016 

Socioeconomic characteristics (N=216) - n (%) Benefit paying source - n (%) Benefit category - n (%)
Government 166 (76.9) Non-government 29 (13.4) Both 21 (9.7) Direct 152 (70.4) Indirect 28 (12.9) Both 36 (16.7)
Male 131 (60.6) 97 (58.4) 22 (75.9) 12 (57.1) 90 (59.2) 21 (75.0) 20 (55.6)
Female 85 (39.4) 69 (41.6) 7 (24.1) 9 (42.9) 62 (40.8) 7 (25.0) 16 (44.4)
Age group (in years)
15-19 13 (6.0) 10 (6.0) - 3 (14.3) 9 (5.9) 1 (3.6) 3 (8.3)
20-59 154 (71.3) 113 (68.1) 25 (86.2) 16 (76.2) 104 (68.4) 23 (82.1) 27 (75.0)
≥60 49 (22.7) 43 (25.9) 4 (13.8) 2 (9.5) 39 (25.7) 4 (14.3) 6 (16.7)
Ethnicity/skin color
Black or brown 200 (92.6) 157 (94.6) 25 (86.2) 18 (85.7) 144 (94.7) 23 (82.1) 33 (91.7)
White/yellow/indigenous 16 (7.4) 9 (5.4) 4 (13.8) 3 (14.3) 8 (5.3) 5 (17.9) 3 (8.3)
Education level (in years of schooling )
≤9 136 (63.0) 102 (61.5) 19 (65.5) 15 (71.4) 95 (62.5) 18 (64.3) 23 (63.9)
>9 80 (37.0) 64 (38.5) 10 (34.5) 6 (28.6) 57 (37.5) 10 (35.7) 13 (36.1)
Marital status
Not in marital union 121 (56.0) 83 (50.0) 22 (75.9) 16 (76.2) 78 (51.3) 20 (71.4) 23 (63.9)
In marital union 95 (44.0) 83 (50.0) 7 (24.1) 5 (23.8) 74 (48.7) 8 (28.6) 13 (36.1)
Has children
Yes 156 (72.2) 125 (75.3) 18 (62.1) 13 (61.9) 113 (74.3) 16 (57.1) 27 (75.0)
No 60 (27.8) 41 (24.7) 11 (37.9) 8 (38.1) 39 (25.7) 12 (42.9) 9 (25.0)
Yes 131 (60.6) 112 (67.5) 9 (31.0) 10 (47.6) 105 (69.1) 17 (60.7) 21 (58.3)
No 85 (39.4) 54 (32.5) 20 (69.0) 11 (52.4) 47 (30.9) 11 (30.3) 15 (41.7)
Per capita income without benefits (in monthly minimum wages: MMW)
≤1/2 MMW 159 (73.6) 118 (71.1) 24 (84.8) 17 (81.0) 106 (69.7) 22 (78.6) 31 (86.1)
>1/2 MMW 57 (26.4) 48 (28.9) 5 (17.2) 4 (19.0) 46 (30.3) 6 (21.4) 5 (13.9)
Household density (people per bedroom)
≤2 151 (69.9) 117 (70.5) 24 (82.8) 10 (47.6) 102 (67.1) 25 (89.3) 24 (66.7)
>2 65 (30.1) 49 (29.5) 5 (17.2) 11 (52.4) 50 (32.9) 3 (10.7) 12 (33.3)

In relation to social benefits, government benefits (76.9%) and direct benefits (70.4%) prevailed. We found a greater proportion of individuals without an occupation among those who received only non-government benefits (69.0%) or who received both government and non-government benefits (52.4%). The other socioeconomic characteristics showed similar distribution, in the crude and stratified analysis, according to paying source and social benefit category (Table 1).

Among individuals who received government benefits (n=166), 85,6% received only direct benefits, 10.2% received both direct and indirect benefits and 4.2% received only indirect benefits. Bolsa Família Program (66.2%), retirement (23.9%) and sickness allowance (Auxílio-doença) (8.5%) prevailed as benefit paying sources for those who received only direct benefits (n=142). Still in relation to the total number of participants, we found that 13.4% (n=29) received only non-government benefits, among which indirect benefits prevailed (65.5%). Only 9.7% (n=21) of participants received both government and non-government benefits (Table 2).

Table 2 - Characterization of social benefits received by individuals with pulmonary tuberculosis during treatment, Salvador, Bahia, 2014-2016 

Social benefits characterization (N=216) N (%)
Government 166 (76.9)
Direct 142 (85.6)
Family Income Transfer Program (Bolsa Família) 94 (66.2)
Retirement pension 34 (23.9)
Sickness allowance (auxílio-doença) 12 (8.5)
Invalidity pension 1 (0.7)
Bolsa Família Program + Continual Payment Benefit (Benefício de Prestação Continuada) 1 (0.7)
Direct + indirect 17 (10.2)
Bolsa Família Program + electric energy social tariff 10 (58.8)
Bolsa Família Program + free municipal/intermunicipal transport 3 (17.6)
Retirement + free municipal/intermunicipal transport 2 (11.8)
Bolsa Família Program + exemption from registration fees for civil service recruitment tests 1 (5.9)
Bolsa Família Program + discount on National Social Security Institute contribution for people who work at home 1 (5.9)
Indirect 7 (4.2)
Electric energy social tariff 5 (71.4)
Free municipal/intermunicipal transport 2 (28.6)
Non-government 29 (13.4)
Indirect 19 (65.5)
Food 15 (78.9)
Food + medicines 2 (10.5)
Food + gas and electricity supply 1 (5.3)
Food + clothing 1 (5.3)
Direct (financial assistance) 10 (34.5)
Government + Non-government 21 (9.7)
Bolsa Família Program + food 19 (90.5)
Electric energy social tariff + food 2 (9.5)

a) Benefit paying source not informed by the interviewee.

Regarding treatment outcome, 79.6% (n=172) of individuals were cured, 17.6% (n=38) abandoned treatment, 2.3% (n=5) died and 0.5% (n=1) had treatment failure. Cure was found to have statistically significant association with more than 9 years of schooling (87.5%), marital union (86.3%) and household density of up to 2 people per bedroom (84.1%) (Table 3).

Table 3 - Association between socioeconomic characteristics and cure of individuals with tuberculosis who were receiving social benefits, in Salvador, Bahia, 2014-2016 

Socioeconomic characteristics and benefit characteristics Cure - n (%) P - valuea
Yes 172 (79.6) No 44 (20.4)
Male 105 (80.2) 26 (19.8) 0.813
Female 67 (78.8) 18 (21.2)
Age group (in years)
15-19 9 (69.2) 4 (30.8) 0.611b
20-59 123 (79.9) 31 (20.1)
≥60 40 (81.6) 9 (18.4)
Ethnicity/skin color
Black or brown 158 (79.0) 42 (21.0) 0.535b
White/yellow/indigenous 14 (87.5) 2 (12.5)
Education level (in years of schooling )
≤9 102 (75.0) 34 (25.0) 0.028
>9 70 (87.5) 10 (12.5)
Marital status
Not in marital union 90 (74.4) 31 (25.6) 0.031
In marital union 82 (86.3) 13 (13.7)
Has children
Yes 122 (78.2) 34 (21.8) 0.402
No 50 (83.3) 10 (16.7)
Yes 109 (83.2) 22 (16.8) 0.105
No 63 (74.1) 22 (25.9)
Per capita income without benefits (in monthly minimum wages: MMW)
12 MMW 127 (79.9) 32 (20.1) 0.882
>1/2 MMW 45 (79.0) 12 (21.0)
Household density (people per bedroom)
≤2 127 (84.1) 24 (15.9) 0.013
>2 45 (69.2) 20 (30.8)
Benefit paying source
Government 134 (80.7) 32 (19.3) 0.075b
Non-government 19 (65.5) 10 (34.5)
Both 19 (90.5) 2 (9.5)
Benefit category
Direct 124 (81.6) 28 (18.4) 0.251
Indirect 19 (67.9) 9 (32.1)
Both 29 (80.6) 7 (19.4)

a) P-values obtained by the chi-square test, except for the ones highlighted with b.

b) P-value obtained by Fisher's exact test.

Despite the lack of statistical significance in the associations between TB cure and social benefits, higher proportions of this outcome were observed in participants who received government and non-government benefits (90.5%); and also among those who received only direct benefits (81.6%). A smaller proportion of cure (65.5%) was observed among those who received only non-government benefits (Table 3).


This is the first study conducted in Brazil with primary data about the receipt of social benefits by people with TB in one of the country’s priority state capital cities for TB control. A greater proportion of cure was found among participants with better schooling (>9 years), living in marital union and living in households with low density of people per bedroom (up to 2 individuals).

The proportion of cure among the study participants (79.6%) was higher than the average proportion of 65% registered in Salvador, Bahia, in the same period (2014-2016). However, this indicator is below the target recommended by WHO, namely at least 85% of new cases cured.1,22,23 The proportion of treatment abandonment corresponded to approximately twice the average proportion registered in Salvador in the same period (approximately 9%), reaching values above the 5% recommended by WHO and by the Ministry of Health.2,4

The demographic profile of the majority of the individuals studied reflected the persistent and known relationship between TB and poverty.9,24 In Brazil, TB markedly affects people in a situation of social vulnerability, especially Black people, individuals with low income, illiterate or with low schooling level.1,2,12 In Salvador, about 80% of the population are of African descent and approximately 40% have per capita monthly income of up to half a monthly minimum wage.18 A systematic review of 11 studies with individualized data showed a positive association between TB incidence and male sex, age between 30 and 54, illiteracy, low income or non-fixed income, marital status (single, separated or divorced), among other factors.5

The predominance of the male sex follows global TB case distribution according to sex, with higher incidence among males.1.2 Regarding treatment outcomes, studies suggest association of low schooling (0-8 years) and low income with treatment abandonment, death and treatment failure.5,25 In a cohort of individuals with TB in Recife, in the Brazilian state of Pernambuco (PE), age group and illiteracy was associated with treatment abandonment, with this outcome being more frequent in people aged 35 to 49.25 In our study, unfavourable treatment outcomes (abandonment, death and treatment failure) were more frequent in young people and adults, in comparison with the elderly, although these differences were not statistically significant.

Schooling, marital status and household density are among the main TB determinants in Brazil.7 Studies have shown that high educational level (more than 9 years of schooling), having a partner and low household density are characteristics associated with greater chances of cure and lower occurrence of unfavorable TB treatment outcomes.26-28

Social protection programs are strongly linked to socioeconomic conditions. There is therefore consensus that they can effectively contribute to TB elimination.2,10 Despite scarce knowledge on access and coverage of social programs and benefits for people with TB, recent evidence has pointed to their direct15 or indirect positive effects on the improvement of treatment outcomes of these individuals, especially the poorest ones. As these findings relate only to the Bolsa Família program,13-16 new studies are needed to investigate the effects of other social protection benefits on TB indicators. The Bolsa Família program is the most relevant social program in Brazil and one of the largest in the world. This fact can explain the higher frequency of its beneficiaries among the study participants. The program was implemented in Brazil in 2004 and currently serves approximately 21% of the Brazilian population, by means of direct income transfer to poor and extremely poor families, as long as certain health and education stipulations are met.29 Recently, a prospective cohort study demonstrated that the program can effectively contribute to achieving the goals to eliminate TB, considering its direct effects on increased cure, reduction of treatment abandonment and death associated with the disease.15

The Bolsa Família program is not the only strategy for social protection in force in the country. There are approximately 15 indirect benefits available to people registered with the Single Registry of Federal Government Social Programs (CadÚnico).20 Only four of these social programs were accessed by the participants of our study. According to National Tuberculosis Control Program data,22 Salvador receives incentives for adherence to TB treatment. However, we found that only one municipal philanthropic hospital provided such benefits continuously (in the form of basic food baskets) for TB patients registered with and cared for by this hospital; however, we chose not to include cases treated at hospitals in our study.

One of the strategies of the National Plan to End Tuberculosis as a Public Health Problem in Brazil4 is to encourage the drafting of laws that contribute to patients’ social protection. At the national level there are no programs of this nature specifically aimed at this population. So far, Draft Bill No. 6991/2013 intended to grant benefits of half a minimum wage to families registered on CadÚnico and affected by TB or leprosy is working its way through the House of Representatives; however, it is unknown whether this provision will be implemented.30

In 2015, the “government income transfer program beneficiary” variable was included on the SINAN-TB database. In that year, 7.2% of TB new cases in Salvador were benefited with income transfer; in 2016, this percentage dropped to 6.1%. In our study, 129 participants were Bolsa Família beneficiaries, corresponding to 8.7% of the average number of new cases reported in the period (n=1,489).19 Although the presence of this variable represents a step forward, it does not include the remaining direct and indirect benefits that comprise the Brazilian social protection system.

The association between socioeconomic characteristics linked to poverty and TB treatment outcomes among individuals who received social benefits suggests that the latter may not have an immediate effect on variables which, besides acting as poverty markers, may be derived from or expand this condition.9,23 It is believed that the positive effects of social protection arise not only from increased income, but also from expanded access to education, unemployment reduction linked to productivity increase, economic growth in the long term and health care service coverage expansion.9,10

The study results showed a higher proportion of cure among individuals who received government and non-government benefits during TB treatment, as well as among those who received only direct monetary benefits. These findings corroborate those of previous studies that have found positive associations of government direct income transfer programs with success/cure following treatment.14,15,16 The association between social protection strategies and successful treatment and cure of individuals with TB was also observed in a meta-analysis of studies carried out in Brazil and in other countries with similar levels of income and disease burden.11

Among the limitations of our study, we include (i) the absence of data on the length of time and/or discontinuity of benefit receipt during treatment, given that such information was obtained at the time of diagnosis, (ii) the absence of measurement of the frequency of receipt of each benefit and the number of beneficiaries in each family affected by the disease and (iii) the possibility of non-response bias, since some participants were reluctant to report receipt of benefits for fear of losing them. In view of these limitations, caution is required with regard to generalization or extrapolation of the results obtained.

Despite the shortage of data on the receipt of social benefits for people with TB in the state of Bahia, the study sample size corresponded to 14.5% of the average number of new pulmonary TB cases reported in the municipality of Salvador (n=1,486) in the period from 2014 to 2016; and was higher than the annual proportions of PBF beneficiaries reported on SINAN-TB for 2015 (7.2%) and 2016 (6.1%).18

Reaching higher proportions of cure and reducing treatment abandonment are necessary in order for Salvador to achieve the goals proposed in the National Plan to End TB as a Public Health Problem in Brazil mentioned above. The study results suggest that higher cure rates can be found in individuals with TB who received social benefits during treatment. However, there was no statistically significant association between the “TB cure” outcome and social benefits, thus confirming the need for other studies for an in-depth investigation of this phenomenon.

Moreover, we propose that social protection strategies be strengthened at municipal level by expanding access to direct benefits. We believe that different benefit modalities may contribute to the achievement of favorable outcomes, in conjunction with other social protection strategies such as job training, microfinance and microcredit opportunities, food and nutritional security programs.

Finally, we recommend that TB be addressed by government organs not only as a public health problem,4 but that it also be included as part of the work agendas of municipal Social Service, Education, Justice and Human Rights departments, with the aim of strengthening intra and intersectoral articulation, as well as articulation between public administration and civil society. In addition, studies are needed that assess different forms of social protection impacts on tuberculosis indicators, at national, regional and local level.


1. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Implantação do plano nacional pelo fim da tuberculose como problema de saúde pública no Brasil: primeiros passos rumo ao alcance das metas.Bol Epidemiológico [Internet]. 2018 mar [citado 2019 mar 8];49(11). Disponível em: Disponível em: . [ Links ]

2. World Health Organization. Global tuberculosis report 2017 [Internet]. Geneva: World Health Organization; 2017 [cited 2019 Mar 8]. 147 p. Disponível em: Disponível em: ]

3. World Health Organization. The end TB strategy: global strategy and targets for tuberculosis prevention, care and control after 2015 [Internet]. Geneva: World Health Organization ; 2015 [cited 2019 Mar 8]. 16 p. Disponível em: Disponível em: ]

4. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Departamento de Vigilância das Doenças Transmissíveis. Brasil livre da tuberculose: plano nacional pelo fim da tuberculose como problema de saúde pública [internet]. Brasília: Ministério da Saúde; 2017 [citado 2019 mar 8]. 52 p. Disponível em: Disponível em: ]

5. San Pedro A, Oliveira RM. Tuberculose e indicadores socioeconômicos: revisão sistemática da literatura. Rev Panam Salud Pública [Internet]. 2013 maio [citado 2019 mar 8];33(4):294-301. Disponível em: Disponível em: . doi: 10.1590/S1020-49892013000400009 [ Links ]

6. Lacerda SNB, Temoteo RCA, Figueiredo TMRM, Luna FDT, Sousa MAN, Abreu LC, et al. Individual and social vulnerabilities upon acquiring tuberculosis: a literature systematic review. Int Arch Med [Internet]. 2014 Jul [cited 2019 Mar 8];7(1):35. Disponível em: Disponível em: . doi: 10.1186/1755-7682-7-35 [ Links ]

7. Maciel EL, Reis-Santos B. Determinants of tuberculosis in Brazil: from conceptual framework to practical application. Rev Panam Salud Publica [Internet]. 2015 Jul [cited 2019 Mar 8];38(1):28-34. Disponível em: Disponível em: ]

8. Andrews JR, Basu S, Dowdy DW, Murray MB. The epidemiological advantage of preferential targeting of tuberculosis control at the poor. Int J Tuberc Lung Dis [Internet]. 2015 Apr [cited 2019 Mar 8];19(4):375-80. Disponível em: Disponível em: . doi: 10.5588/ijtld.14.0423 [ Links ]

9. Hargreaves JR, Boccia D, Evans CA, Adato M, Petticrew M, Porter JDH. The social determinants of tuberculosis: from evidence to action. Am J Public Health [Internet]. 2011 Apr [cited 2019 Mar 8];101(4):654-62. Disponível em: Disponível em: . doi: 10.2105/AJPH.2010.199505 [ Links ]

10. Chatam House (UK). Centre on Global Health Security. Social protection interventions for tuberculosis control: the impact, the challenges, and the way forward [Internet]. London: Chatham House; 2012 [cited 2018 May 24]. Disponível em: Disponível em: Health/170212summary.pdfLinks ]

11. Andrade KVF, Nery JS, Souza RA, Pereira SM. Effects of social protection on tuberculosis treatment outcomes in low or middle-income and in high-burden countries: systematic review and meta-analysis. Cad Saúde Pública [Internet]. 2018;34(1):e00153116. Disponível em: doi: 10.1590/0102-311x00153116 [ Links ]

12. Organização Pan-Americana da Saúde. Direitos humanos, cidadania e tuberculose na perspectiva da legislação brasileira [Internet]. Brasília: Organização Pan-Americana da Saúde; 2015 [citado 2019 mar 8]. 148 p. Disponível em: Disponível em: ]

13. Nery JS, Rodrigues LC, Rasella D, Aquino R, Barreira D, Torrens AW, et al. Effect of Brazil’s conditional cash transfer programme on tuberculosis incidence. Int J Tuberc Lung Dis [Internet]. 2017 Jul [cited 2019 Mar 8];21(7):790-6. Disponível em: Disponível em: . doi: 10.5588/ijtld.16.0599 [ Links ]

14. Torrens AW, Rasella D, Boccia D, Maciel ELN, Nery JS, Olson ZD, et al. Effectiveness of a conditional cash transfer programme on TB cure rate: a retrospective cohort study in Brazil. Trans R Soc Trop Med Hyg [Internet]. 2016 Mar [cited 2019 Mar 8];110(3):199-206. Disponível em: Disponível em: . doi: 10.1093/trstmh/trw011 [ Links ]

15. Oliosi JGN, Reis-Santos B, Locatelli RL, Sales CMM, Silva Filho WG, Silva KC, et al. Effect of the Bolsa Familia Programme on the outcome of tuberculosis treatment: a prospective cohort study. Lancet Glob Health [Internet]. 2019 Feb [cited 2019 Mar 8];7(2):219-16. Disponível em: Disponível em: . doi: 10.1016/S2214-109X(18)30478-9 [ Links ]

16. Durovni B, Saraceni V, Puppin MS, Tassinari W, Cruz OG, Cavalcante S, et al. 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. J Public Health [Internet]. 2018 Sep [cited 2019 Mar 8]:40(3):e359-e366. Disponível em: Disponível em: . doi: 10.1093/pubmed/fdx132 [ Links ]

17. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Detectar, tratar e curar: desafios e estratégias brasileiras frente à tuberculose. Bol Epidemiológico [Internet]. 2015 [citado 2019 mar 8];46(9). Disponível em: Disponível em: ]

18. Instituto Brasileiro de Geografia e Estatística. IBGE Cidades: conheça cidades e Estados do Brasil [Internet]. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística, 2017 [citado 2018 maio 20]. Disponível em: Disponível em: ]

19. Ministério da Saúde (BR). Departamento de Informática do Sistema Único de Saúde. Informações de saúde (Tabnet) [Internet]. Brasília: Ministério da Saúde ; 2016[citado 2018 maio 18]. Disponível em: Disponível em: ]

20. Siqueira AL, Sakurai E, Souza MCFM. Estudos envolvendo proporções e médias. In: Dimensionamento de amostras em estudos clínicos e epidemiológicos. Salvador: Universidade Federal da Bahia; 2001. p. 14-31. [ Links ]

21. Ministério da Cidadania (BR). Secretaria Especial do Desenvolvimento Social. Cadastro único [Internet]. Brasília: Ministério da Cidadania; 2018 [citado 2018 maio 19]. Disponível em: Disponível em: ]

22. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Indicadores prioritários para o monitoramento do plano nacional pelo fim da tuberculose como problema de saúde pública no Brasil. Bol Epidemiológico [Internet]. 2017 [citado 2019 mar 8];48(8). Disponível em: Disponível em: ]

23. Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Perspectivas brasileiras para o fim da tuberculose como problema de saúde pública. Bol Epidemiológico [Internet]. 2016 [citado 2019 mar 8];47(13). Disponível em: Disponível em: ]

24. Benatar SR, Upshur R. Tuberculosis and poverty: what could (and should) be done? Int J Tuberc Lung Dis [Internet]. 2010 Oct [cited 2019 Mar 8];14(10):1215-21. Disponível em: Disponível em: ]

25. Albuquerque MFPM, Ximenes RAA, Lucena-Silva N, Souza WV, Dantas AT, Dantas OMS, et al. Factors associated with treatment failure, dropout, and death in a cohort of tuberculosis patients in Recife, Pernambuco State, Brazil. Cad Saúde Pública [Internet]. 2007 Jul [cited 2019 Mar 8];23(7):1573-82. Disponível em: Disponível em: . doi: 10.1590/S0102-311X2007000700008 [ Links ]

26. Orofino RL, Brasil PEA, Trajman A, Schmaltz CAS, Dalcolmo M, Rolla VC. Preditores dos desfechos do tratamento da tuberculose. J Bras Pneumol [Internet]. 2012 fev [citado 2019 mar 8];38(1):88-97. Disponível em: Disponível em: . doi: 10.1590/S1806-37132012000100013 [ Links ]

27. Prado JúniorJC, Virgílio TC, Medronho RA. Comparação da proporção de cura por tuberculose segundo cobertura e tempo de implantação de Saúde da Família e fatores socioeconômicos e demográficos no município do Rio de Janeiro, Brasil, em 2012. Ciênc Saúde Coletiva [Internet]. 2016 maio [citado 2019 mar 8];21(5):1491-8. Disponível em: Disponível em: . doi: 10.1590/1413-81232015215.03912016 [ Links ]

28. Belo MT, Luiz RR, Teixeira EG, Hanson C, Trajman A. Tuberculosis treatmentoutcomes and socio-economicstatus: a prospectivestudy in Duque de Caxias, Brazil. Int J Tuberc Lung Dis [Internet]. 2011 Jul [cited 2019 Mar 8];15(7):978-81. Disponível em: Disponível em: . doi: 10.5588/ijtld.10.0706 [ Links ]

29. Campello T, Neri MC. Programa bolsa família: uma década de inclusão e cidadania [Internet]. Brasília: Instituto de Pesquisa Econômica Aplicada; 2013 [citado 2019 mar 8]. 494 p. Disponível em: Disponível em: ]

30. Brasil. Câmera dos Deputados. Projeto de Lei nº 6991, de 17 de dezembro de 2013. Cria benefício financeiro mensal, no valor de meio salário mínimo, destinado às famílias inscritas no Cadastro Único para Programas Sociais do Governo Federal que tenham, em sua composição, pessoas em tratamento de tuberculose ou hanseníase [Internet]. Brasília: Câmera dos Deputados; 2013 [citado 2018 maio 24]. Disponível em: Disponível em: ]

*Study funded with resources from the National Council for Scientific and Technological Development (CNPq)/Ministry of Science, Technology, Innovation and Communications (MCTIC) - Process No. 404030/2012-2 - and the Coordination for the Improvement of Higher Level Personnel (Capes)/Ministry of Education - Funding code 001.

Received: August 02, 2018; Accepted: February 13, 2019

Correspondence: Kaio Vinicius Freitas de Andrade - Avenida Transnordestina, S/N, Novo Horizonte, Feira de Santana, BA, Brazil. Postcode: 44036-900. E-mail:

Authors’ contributions

Andrade KVF participated in the conception and design of the study, analysis and interpretation of the results, writing and critical review of the manuscript. Nery JR, Araújo GS, Barreto ML and Pereira SM participated in the conception of the study, drafting and the critical review of the intellectual content of the manuscript. All the authors have approved the final version and declared themselves to be responsible for its accuracy and integrity.

Creative Commons License Este é um artigo publicado em acesso aberto sob uma licença Creative Commons