Skip to main content
Download PDF

Performance of centralized versus decentralized tuberculosis treatment services in Southern Brazil, 2006–2015

BMC Public Health volume 18, Article number: 554 (2018) Cite this article

Abstract

Background

Tuberculosis (TB) control programs face the challenges of decreasing incidence, mortality rates, and drug resistance while increasing treatment adherence. The Brazilian TB control program recommended the decentralization of patient care as a strategy for combating the disease. This study evaluated the performance of this policy in an area with high default rates, comparing epidemiological and operational indicators between two similar municipalities.

Methods

This study analyzed epidemiological and operational indicators on new cases of pulmonary tuberculosis reported in the Brazilian Notifiable Diseases Information System between 2006 and 2015. In addition, to characterize differences between the populations of the two studied municipalities, a prospective cohort study was conducted between 2014 and 2015, in which patients with new cases of culture-confirmed pulmonary tuberculosis were interviewed and monitored until the disease outcome. A descriptive analysis, the chi-square test, and a Poisson regression model were employed to compare TB treatment outcomes and health care indicators between the municipalities.

Results

Two thousand three hundred nine cases were evaluated, of which 207 patients were interviewed. Over the 2006–2015 period, TB incidence per 100,000 population in the municipality with decentralized care was significantly higher (39%, 95% CI 27–49%) in comparison to that of the municipality with centralized care. TB treatment default rate (45%, 95% CI 12–90%) was also higher in the municipality with decentralized care. During the two-year follow-up, significant differences were found between patients in centralized care and those in decentralized care regarding treatment success (84.5 vs. 66.1%), treatment default (10.7 vs. 25.8%), illicit drug use (27.7 vs. 45.9%), and homelessness (3.6 vs. 12.9%). The operational indicators revealed that the proportion of control smear tests, medical imaging, and HIV tests were all significantly higher in the centralized care. However, a significantly higher proportion of patients started treatment in the early stages of the disease in the municipality with decentralized care.

Conclusions

These data showed a low success rate in TB treatment in both municipalities. Decentralization of TB care, alone, did not improve the main epidemiological and operational indicators related to disease control when compared to centralized care. Full implementation of strategies already recommended is needed to improve TB treatment success rates.

Peer Review reports

Background

Tuberculosis (TB) control programs aim to reduce disease mortality, prevalence, and incidence, focusing their actions on detection and treatment, especially of patients who are responsible for maintaining the transmission cycle of Mycobacterium tuberculosis [1]. The Directly Observed Treatment Short-Course (DOTS) strategy, recommended by the World Health Organization (WHO) since 1993, remains as the main pillar for TB control programs. This strategy was based on a model developed by Karel Styblo in 1970, using a management approach for case detection and treatment through supplying basic health units (BHUs) with the necessary resources and personnel to perform the diagnosis, treatment, recording, and progress reporting of TB patients in areas with 100,000 to 150,000 inhabitants [2]. The recommendations of the DOTS strategy were established based on observations made of the health services and the acknowledgement that their lack of organization to ensure the detection and cure of TB patients was a major problem in TB control [2, 3]. Other shortcomings also involved the access to treatment, high default rates among patients, and the absence of effective monitoring and surveillance systems [3].

The WHO target of achieving 85% of cure employing the DOTS strategy was increased to 95% in 2016 with the “End TB Strategy” [2, 4]. Brazilian government opted to decentralize tuberculosis control programs by expanding patient care to the primary health network instead of offering TB treatment in specialized municipal outpatient clinics [5]. However, the process of decentralization has not been adopted by all Brazilian municipalities designated as priorities by the National Tuberculosis Control Program (PNCT).

The objective of the present study was to compare the performance of tuberculosis control programs in two municipalities with similar demographic and socioeconomic characteristics and different models of TB care. To evaluate the effectiveness and quality of health care, this study analyzed epidemiological indicators [6] (related to tuberculosis control) and operational indicators [6] (related to patient care), comparing data from Florianópolis, a municipality with 100% decentralized TB service, to data from São José, a municipality that opted in keeping TB patient care centralized on a specialized clinic.

Methods

This observational descriptive study evaluated patients under treatment for pulmonary tuberculosis in the municipalities of Florianópolis and São José, using two data sources, each analyzing a different period. Data on a 10-year period (2006 to 2015) were retrieved from the Notifiable Diseases Information System (SINAN), available on the TABNET platform of the Santa Catarina Epidemiological Surveillance Department (DIVE/SC), and a prospective cohort study was performed with patients diagnosed with culture-confirmed pulmonary tuberculosis who started treatment between 2014 and 2015.

Characterization of the municipalities

Two priority municipalities, according to the PNCT, were selected for this study. Municipality of Florianópolis, SC: 469,690 inhabitants (2015), territorial area of 675,409km2, population density of 623.68 inhabitants/km2, Municipal Human Development Index (MHDI) of 0.847, gross domestic product (GDP) per capita of 32,385.04 Brazilian reais. Municipality of São José, SC: 232,309 inhabitants (2015), territorial area of 150,453 km2, population density 1376.78 inhabitants/km2, MHDI of 0.809, GDP per capita of 34,181.78 Brazilian reais. Florianópolis has extensive conservation areas. Considering only urban areas, the population density of both municipalities is similar. Care decentralization in these municipalities of Santa Catarina was preceded by the training of health care professionals by the State Epidemiological Surveillance Service with the objective of preparing BHU personnel for the diagnosis, treatment, follow-up, and notification of TB cases. In Florianópolis, as of 2006, the primary health care network is responsible for the decentralized treatment of TB, and patients are assisted by a multidisciplinary health team in 70 BHUs. In São José, a specialized outpatient clinic was responsible for the centralized treatment of the disease during the 2012–2016 period, and all patients were seen by a pulmonologist. However, TB treatment was decentralized in the preceding years (2006–2011). In both municipalities, the directly observed treatment has not been performed routinely and systematically, being restricted to cases of MDR-TB and cases of treatment failure.

Studied indicators (2006 to 2015)

This study evaluated the main epidemiological and operational indicators available on the TABNET/DIVE platform between 2006 and 2015. The analyzed epidemiological indicators of disease control were TB and pulmonary TB incidence rates and treatment completion and default rates among new cases. The analyzed operational indicators included the proportion of TB cases confirmed by culture, sputum smear microscopy in the second month of therapy, use of radiological resources for diagnosis and follow-up of lesion evolution, and HIV testing.

Studied population (2014 and 2015)

To verify the occurrence of systematic errors due to differences between the TB-positive populations of both municipalities, a characterization of these populations was performed. This was accomplished through a prospective cohort of patients from both municipalities, who had a culture-confirmed tuberculosis diagnosis and started treatment with the basic regimen (rifampicin, isoniazid, pyrazinamide, and ethambutol) between 2014 and 2015. The following variables were evaluated: gender, level of schooling, cigarette smoking habits, abusive alcohol consumption, illicit drug use, proportion of patients experiencing homelessness, and TB/HIV co-infection. After signing the informed consent form, patients were interviewed and monitored through their medical records until the outcome of the disease (treatment success or default, death, or transfer to another jurisdiction). There was no interference in the patients’ routine, and treatments followed the PNCT guidelines. This study was approved by the UFSC Human Health Research Ethics Committee (protocol no. 550.598/2014).

Studied indicators (2014 and 2015)

Two TB-related indicators unavailable in the Information System (TABNET/DIVE) were evaluated: the time elapsed between the beginning of symptoms and the initiation of treatment, and the place of TB diagnosis.

Data management and analysis

New cases were defined as those in which patients had never received anti-TB treatment or had been treated for less than 30 days [7]; Treatment outcomes were classified according to the following criteria: treatment success, the sum of cured and treatment completed cases [8]; and default, treatment interrupted for one consecutive month or more [7]. Data were analyzed using the SPSS 22.0® software (SPSS Inc., Chicago, USA) and summarized as absolute numbers and/or percentages. Associations between the variables and the outcomes were assessed using the chi-square test and the Fischer’s exact test, with a 5% significance level. Additionally, the comparison between centralized and decentralized care over the 2006–2015 period was calculated using a Poisson regression model with 95% confidence interval to estimate relative risks. An indicator variable was added to the regression model to account for the 2006–2011 period of decentralized TB care in São José.

Results

Between 2006 and 2015, Florianópolis notified 2316 new TB cases, of which 1706 were pulmonary TB. Over the same period, São José notified 843 new TB cases, of which 603 were pulmonary TB. Table 1 lists the indicators related to tuberculosis control and patient care over a 10-year period in both municipalities. The incidence of tuberculosis, pulmonary tuberculosis, and the rate of treatment default were significantly higher (38%, 39%, and 45%, respectively) in Florianópolis than in São José. The percentage of defaulted cases decreased in the years of 2010 and 2011 in São José, remained constant in the following years, reached its worst performance in 2014, and improved slightly in 2015. Treatment default rates were very high throughout the entire studied period in Florianópolis, except in the year of 2006. There was a great variation in treatment success rates, which in Florianópolis reached their worst performance in 2008 (57.3%), slowly improving through the years until 2012 (74.1%), then falling again, and closing the period of observation at 58.6%. In the municipality of São José, treatment success had its worst performance in the same year (2008 = 62.3%) as in the municipality of Florianópolis, reaching 78.0% in 2010, falling again in the following years, and closing the period of observation with a discreet increase (70.3%). In Florianópolis, the proportion of culture-confirmed diagnosis was significantly higher (40%) than in São José. However, other indicators related to patient care, such as performing sputum smear examination in the second month of therapy, imaging exams, and HIV testing, were significantly higher in São José than in Florianópolis.

Table 1 Comparison of epidemiological and operational indicators related to tuberculosis over a 10-year period in the municipalities of Florianópolis (non-decentralized care in Basic Health Units) and São José (decentralized care - 2006-2011 and centralized care - 2012-2015 in a specialized outpatient clinic), in the Southern region of Brazil, 2006–2015
Full size table

In São José, the annual incidence rate ratio of the post-centralization period (2012–2016) to the pre-centralization period (2006–2011) was 1.009 for both all TB (p = 0.158) and pulmonary TB (p = 0.247), whereas corresponding values in Florianópolis were 1.014 (p = 0.090) and 1.028 (p = 0.003) for all and pulmonary TB, respectively. The latter had a statistically significant increase of 2.8% over the 2012–2016 period.

In 2014 and 2015, 207 patients with a culture-confirmed diagnosis of pulmonary tuberculosis were interviewed, 124 patients from Florianópolis and 83 from São José. The sociodemographic indicators and disease outcome information compiled from the interviews are described in Table 2. In relation to the sociodemographic indicators, the only significant differences observed between the two populations were the proportion of patients who use illicit drugs (p = 0.02) and the proportion of patients experiencing homelessness (p = 0.03), indicators that were predominant in Florianópolis. Regarding the disease outcome, significant differences in successful treatment and treatment default rates were observed between the two municipalities. For patients who started TB treatment in Florianópolis where care was provided by the BHUs, the treatment success rate was 22% lower (95% confidence interval = 9–33%) and the probability of treatment abandonment was 2.41 times higher (95% confidence interval = 1.21–4.78) when compared to patients who started treatment in São José, where care was provided by the outpatient clinic. Conversely, in Florianópolis, a significantly higher proportion of patients started treatment in the early stages of the disease.

Table 2 Sociodemographic indicators and primary and secondary outcome of patients with culture-confirmed pulmonary tuberculosis treated in the municipalities of Florianópolis and São José, Southern Brazil, 2014 and 2015
Full size table

Discussion

Tuberculosis incidence in Brazil decreased from 37.9% in 2006 to 32.4% in 2016 [9]. In the Southern region of the country, where the studied municipalities are located, TB incidence was estimated at 27.4/100,000 population [9]. Florianópolis and São José are neighboring municipalities, have similar municipal Human Development Indices (MHDI) and per capita income, and are among the municipalities with the highest incidence rates of HIV/AIDS in Brazil [10]. In Florianópolis, the mean TB incidence over the 10-year study period was 38% higher (95% confidence interval 27–49%) than in São José. With the exception of 2010, incidence rates have increased over the last 9 years in Florianópolis. Although both municipalities showed increasing pulmonary TB incidence rates in the 2012–2015 period in comparison to the 2006–2011 period, the increase was not statistically significant in São José (p = 0.247), as opposed to Florianópolis (p = 0.003); increase in pulmonary TB incidence was about threefold higher in Florianópolis (2.8%) than in São José (0.9%). Taken together, these results indicate a putative beneficial effect of centralized versus decentralized TB care in reducing the number of new TB infections.

During the period of decentralized care, São José had annual oscillations in TB and PTB incidence rates, reflecting the lack of standardization in TB care procedures and the high staff turnover in BHUs. Since 2012, TB care has been centralized and is now carried out by a dedicated team led by a pulmonologist. Care is provided in the same facility of the STD/AIDS Counseling and Testing Center (CTC), contributing to the better access of vulnerable populations to TB diagnosis in the municipality. In addition, in 2013, information on TB was broadcast by Brazilian media due to the case of a popular singer who was diagnosed with pleural TB. In 2014, the Ministry of Health launched a campaign to combat TB using the singer’s image, alerting the population about the symptoms of the disease and the importance of attending BHUs for an early diagnosis. The information campaign, although transitory, seems to have sensitized the population about the disease, stimulating the search for diagnosis, and may be associated with the increased incidence observed in 2013–2014.

The expected improvement in treatment success rates did not occur with the adoption of decentralized care; the positive effect expected from having care closer to the place of residence was not confirmed. The best treatment success rates achieved were 74% in Florianópolis and 78% in São José, which are unsatisfactory results even for the previous goals of WHO (85%) [2]. The treatment success rate of new cases in Brazil remained stable at approximately 70% for more than a decade [1]. Among the countries defined as the top 20 in terms of absolute numbers of estimated incident TB cases, Brazil shared with Russia the position of worst treatment success rate in 2015, 71% [1].

Florianópolis maintained significantly higher default rates than São José, also higher than the 11.0% default rate registered in Brazil among new cases in 2015 [9]. Despite the longer distances patients had to travel to reach the care facility, treatment default in São José remained below the national average in 2015. Poor treatment adherence and premature interruption of treatment contribute to a prolonged infectivity and increase the number of people exposed to M. tuberculosis [11]. Treatment default has been associated with individual factors, such as low schooling, TB/HIV co-infection, alcohol abuse, illicit drug use, and homelessness [12, 13]. There were no significant differences between the two municipalities in regard to the level of schooling, use of alcohol, and TB/HIV co-infection. However, the proportion of people experiencing homelessness and reporting the use of illicit drugs was significantly higher in Florianópolis. Of note, drug abuse has been strongly associated with treatment failure in similar studies [12, 14]. Therefore, the larger proportion of drug users among TB patients in Florianópolis may have contributed to the high default rates observed in this study.

Regarding health services, the lack of engagement and commitment to patient integration and education in order to promote the cure of the disease has been associated with an early default in TB treatment [15,16,17,18]. In the studied scenario, decentralization assigned extra functions to BHU personnel related to the activities of tuberculosis control. In this context, a uniformity of action was not observed among the 70 units. The lack of a scheduled time for medication withdrawal made it impossible to notice patient non-attendance, allowing for days or weeks without treatment. On the other hand, in the centralized care, all patients had a monthly medical appointment scheduled and reported on the tuberculosis record, enabling a more effective follow-up. In addition, during the appointments accompanied by the study, the patients were constantly briefed on the importance of the proper use of medication, giving emphasis on the consequences of treatment non-adherence (therapeutic failure, the emergence of antimicrobial resistance, and death). These factors may have contributed to the lower default rates observed in São José. The impact of an intensive education strategy on treatment compliance has been demonstrated in Bangladesh and Ethiopia [19, 20].

To increase TB treatment success rates, one of the DOTS recommendations is that the patient should be observed by a trained professional during the intake of medication, thus enhancing the bond between patient and health care provider [7]. The increase in adherence to the directly observed treatment (DOT) method is indeed accompanied by higher treatment success rates and lower default rates [21,22,23,24]. During the follow-up period of patients in both municipalities, direct observation of medication intake occurred and was recorded only for patients under treatment for multidrug-resistant tuberculosis, and in some cases of therapeutic failure. In general, the patient sought the health unit weekly, biweekly or monthly, and, in some cases, periodic visits by community agents were registered, characterizing a low adherence to the DOT, regardless of the model of care adopted by the municipality. The acceptance and sustainability of the DOT by health care personnel in the daily routine of services requires patient encouragement and sufficient human resources [21, 22]. The adherence to the DOT in both municipalities is necessary to improve the rates of successful treatment.

Conversely, despite the low adherence to DOT in both municipalities, patients from the prospective cohort study (2014–2015) attended in São José, who were followed throughout the period by the same specialized and dedicated team, had an 84.5% treatment success rate. Some authors have shown that good results in treatment success rates can be obtained with a self-administered treatment, reinforcing the idea that a supporting relationship between patient and health care professional can improve treatment results [25, 26]. For this, a trained and committed team is essential. In the decentralized municipality, in which a frequent turnover of professionals in the BHU TB programs was observed, a low rate of treatment success (66.1%) was reported. Other studies have shown that decentralized TB care is generally characterized by work overload for health care professionals in a scenario of dispersed actions and high staff turnover [21, 27].

The distance from the patients’ place of residence to the place of health care and medication dispensation acts as a barrier to treatment adherence, [15,16,17, 28] and, therefore, decentralization may be a solution to this problem. The results observed in the present study, however, indicated that, in relation to treatment adherence, the maintenance of a trained and dedicated staff and the education of TB patients were more relevant than the distance to health care services. Characteristics of the studied municipalities, such as their territorial extension and predominance of urban areas may have contributed to the observed results. For rural areas and isolated/hard-to-reach communities, a “virtual” model of care has shown good results, in which the local health professional is oriented and supervised by a specialized group (public health nurses, infectologists, and pulmonologists) [29].

The operational indicators (proportion of smear testing in the second month of therapy, HIV testing, and imaging examinations performed for diagnosis and lesion progression follow-up) were significantly lower in Florianópolis, showing less effectiveness when compared to the centralized care and corroborating the low rates of treatment success and increased TB incidence observed in Florianópolis.

Over the 10-year study period, 71.0% of TB patients were tested for HIV in Florianópolis and 95.7% in São José, with co-infection rates of 21.6% and 22.3%, respectively; co-infection rates of these municipalities were higher than the national average rate (13%) [1]. As of the centralization of TB care in 2012, the municipality of São José integrated tuberculosis control and HIV monitoring services, which started to operate in the same facility, achieving a 68.7% success rate in TB treatment among co-infected patients, in comparison to the 39.1% success rate observed in Florianopolis for the same patient group in the same period. Other studies have shown that this integration results in an increase in treatment efficacy for co-infected individuals, prolonging their survival and maximizing resources [30, 31], and this strategy should be prioritized in low-income areas and/or areas with a high incidence of HIV infection.

Among the positive aspects associated with decentralization, the present study showed a significantly higher proportion of patients initiating treatment within 8 weeks after the onset of symptoms in Florianópolis, where diagnosis took place mostly in the BHUs (54%). Likewise, the proportion of culture-confirmed pulmonary TB cases was 40% higher in Florianópolis than in São José, an indicator that began to improve in 2010 when the Municipal Laboratory started to perform culture tests for all samples. Prior to the adoption/implementation of the rapid molecular detection, the Brazilian Ministry of Health recommended smear microscopy for the diagnosis of TB in patients with respiratory symptoms, indicating culture tests for specific cases only [7]. The São José Municipal Laboratory started to perform culture tests for all samples, as of 2012. However, the BHUs that use the São José Municipal Laboratory service were responsible for only 36.1% of the diagnoses performed in the municipality. This explains why the proportion of new PTB cases confirmed by culture remains very low. This study evidenced that the involvement of the BHUs with the tuberculosis program accelerated and increased TB detection. However, a large proportion of diagnoses still occurred in hospitals, 41.9% in Florianópolis and 51.8% in São José, characterizing the occurrence of late diagnoses and more severe cases of the disease. It is, therefore, necessary to intensify the active search for individuals with symptomatic respiratory diseases, screening people who have contact with TB patients and other vulnerable groups, as well as by promoting joint actions to increase the detection of community cases in the two municipalities.

The variation of the epidemiological indicators of the tuberculosis control programs observed in the 10-year period shows a lack of systematization and monitoring of the control strategies adopted by the municipalities. The observed discrepancy between treatment success rates reported on the Information System (TABNET/DIVE) and those reported in the patients’ records suggests a negligence in feeding data to the monitoring system. Successful campaigns for disease elimination are characterized by locally adapted responses evaluated through consistent local data [32]. Recording and evaluating the outcome of every patient is an integral part of the control program and an excellent tool to evaluate the results of interventions [33]. By knowing the key points, the municipality can focus on specific targets to stop transmission, such as prioritizing high-risk populations [34].

Recently, the Brazilian government has made significant investments to improve the diagnosis of new TB cases, with the implementation of molecular methodologies in the public network, a faster and more sensitive diagnosis. However, detecting, treating, curing, and increasing treatment adherence continue to be great challenges for Brazilian municipalities, requiring investments in personnel and management, strategic planning, and supervision to improve local public policies. Strategies should be thought out, planned, and monitored locally, tailoring the models to the individualized realities. In this context, the present study concludes that the process of treatment decentralization to the BHUs, alone, did not positively influence the main epidemiological indicators, related to the control of tuberculosis, after 10 years of its implementation. In both studied municipalities, strategies should be adopted to address the issue of treatment adherence.

Conclusion

Decentralization of TB care did not improve the main epidemiological indicators related to TB control. The analysis of TB health service indicators also showed that centralized care had a better performance than decentralized care. Conversely, decentralization improved early diagnosis indicators. Supervision of TB care by a specialized dedicated team ensures that experienced personnel deliver quality service to patients, increasing adherence to control strategies and equity of care. However, the commitment of all levels of health care and the involvement of the community are essential for the effective control of TB.

Abbreviations

BHU:

Basic Health Units

DIVE/SC:

Santa Catarina Epidemiological Surveillance Department

DOT:

Directly Observed Treatment

DOTS:

Directly Observed Treatment Short-Course

GDP:

Gross Domestic Product

MHDI:

Municipal Human Development Index

PNCT:

National Tuberculosis Control Programme

SINAN:

National Information System for Notifiable Diseases

SPSS:

Statistical Package for Social Sciences

TB:

Tuberculosis

WHO:

World Health Organization

References

  1. World Health Organization. Global tuberculosis report 2017. Geneva: World Health Organization; 2017. http://apps.who.int/iris/bitstream/10665/259366/1/9789241565516-eng.pdf?ua=1

    Google Scholar 

  2. World Health Organization. What is DOTS? A guide to Understanding the WHO-recommended TB Control Strategy Known as DOTS. Geneva: World Health Organization; 1999. http://www.who.int/iris/handle/10665/65979

    Google Scholar 

  3. Sbarbaro JA. Kochi’s tuberculosis strategy article is a “classic” by any definition. Bull World Health Organ. 2001;79:69–70.

    CAS  PubMed  PubMed Central  Google Scholar 

  4. World Health Organization. Implementing the End TB Strategy: the essentials. Geneva: World Health Organization; 2015. http://www.who.int/tb/publications/2015/The_Essentials_to_End_TB/en/ ISBN: 978 92 4 150993 0

    Google Scholar 

  5. Ministério da Saúde. Secretaria de Vigilância em Saúde. In: Programa Nacional de Controle da Tuberculose. Brasília. Brasil: Ministério da Saúde. p. 2004. http://bvsms.saude.gov.br/bvs/publicacoes/ProgramaTB.pdf.

  6. Arakawa T, Magnabosco GT, Lopes LM, Arnaez MAA, Gavín MAO, Gallardo MDPS, et al. Evaluation of the performance of Tuberculosis Control Programs in Brazil and Spain: an integrative review of the literature. Ciênc saúde coletiva. 2015;20:3877–89. https://doi.org/10.1590/1413-812320152012.09382014.

    Article  Google Scholar 

  7. Ministério da Saúde. Manual de Recomendações para o Controle da Tuberculose. Brasília: Ministério da Saúde; 2011. http://bvsms.saude.gov.br/bvs/publicacoes/manual_recomendacoes_controle_tuberculose_brasil.pdf

    Google Scholar 

  8. World Health Organization. Definitions and reporting framework for tuberculosis – 2013 revision 2014. <http://apps.who.int/iris/bitstream/10665/79199/1/9789241505345_eng.pdf> 2013.

  9. Ministério da Saúde. Secretaria de Vigilância em Saúde. In. Boletim epidemiológico: Indicadores prioritários para o monitoramento do Plano Nacional pelo Fim da Tuberculose como problema de saúde pública no Brasil. Brasília: Brazilian Ministry of Health; 2017. p. 47. ISSN 2358-9450. http://portalarquivos2.saude.gov.br/images/pdf/2017/marco/23/2017-V-48-N-8-Indicadores-priorit--rios-para-o-monitoramento-do-Plano-Nacional-pelo-Fim-da-Tuberculose-como-Problema-de-Sa--de-P--blica-no-Brasil.pdf.

  10. Ministério da Saúde. Secretaria de Vigilância em Saúde. In: Boletim Epidemiológico HIV. Brasília: AIDS. p. 2014. http://www.aids.gov.br/pt-br/node/73.

  11. Lienhardt C, Glaziou P, Uplekar M, Lonnroth K, Getahun H, Raviglione M. Global tuberculosis control: lessons learnt and future prospects. Nat Rev Microbiol. 2012;10:407–16. https://doi.org/10.1038/nrmicro2797.

    Article  CAS  PubMed  Google Scholar 

  12. Lackey B, Seas C, Stuyft PVD, Otero L. Patient characteristics associated with tuberculosis treatment default: a cohort study in a high-incidence area pf Lima, Peru. PLoS One. 2015;10(6):e0128541.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Nogueira CL, Prim RI, Senna SG, Rovaris DB, Maurici R, Rossetti ML, et al. First insight into the molecular epidemiology of Mycobacterium tuberculosis in Santa Catarina, southern Brazil. Tuberculosis. 2016;97:57–64.

    Article  PubMed  Google Scholar 

  14. Cayalà JA, Rodrigo T, Ruiz-Manzano J, Caminero JA, Vidal R, García JM, et al. Tuberculosis treatment adherence and fatality in Spain. Respir Res. 2009;10:121.

    Article  Google Scholar 

  15. Woimo TT, Yimer WK, Bati T, Genesew HA. The prevalence and factors associated for anti-tuberculosis treatemente non-adherence among pulmonary tuberculosis patients in public health care facilities in South Ethiopia: a cross-sectional study. BMC Public Helath. 2017;17:269.

    Article  Google Scholar 

  16. Tola HH, Tol A, Shojaeizadeh D, Garmaroudi G. Tuberculosis treatment non-adherence and lost to follow up among TB patients with or without HIV in developing countries: a systematic review. Iran J Public Health. 2015;44(1):1–11.

    PubMed  PubMed Central  Google Scholar 

  17. Tang Y, Zhao M, Wang Y, Gong Y, Yin X, Zhao A, Zheng J, Liu Z, Jian X, Wang W, et al. Non-adherence to anti-tuberculosis treatment among internal migrants with pulmonary tuberculosis in Shenzhen, China: a crosssectional study. BMC Public Health. 2015;15:474.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Toczek A, Cox H, du Cros P, Cooke G, Ford N. Strategies for reducing treatment default in drug-resistant tuberculosis: systematic review and meta-analysis. Int J Tuberc Lung Dis. 2013;17:299–307.

    Article  CAS  PubMed  Google Scholar 

  19. Lee S, Khan OF, Seo JH, Kim DY, Park KH, Jung SI, et al. Impact of Physician’s education on adherence to tuberculosis treatment for patients of low socioeconomic status in Bangladesh. Chonnam Med J. 2013;49:27–30.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Tola HH, Shojaeizadeh D, Tol A, Garmaroudi G, Yekaninejad MS, Kebede A, et al. Psychological and educational intervention to improve tuberculosis treatment adherence in Ethiopia based on health belief model: a cluster randomized control trial. PLoS One. 2016;11:e0155147.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Arakawa T, Magnabosco GT, Andrade RLP, Brunello MEF, Monroe AA, Ruffino-Neto A, et al. Tuberculosis control program in the municipal context: performance evaluation. Rev Saúde Pública. 2017;51(23) https://doi.org/10.1590/s1518-8787.2017051006553

  22. Pungrassami P, Johnsen SP, Chongsuvivatwong V, Olsen J, Sorensen HT. Practice of directly observed treatment (DOT) for tuberculosis in southern Thailand: comparison between different types of DOT observers. Int J Tuberc Lung Dis. 2002;6:389–95.

    CAS  PubMed  Google Scholar 

  23. Tsogt G, Levy M, Sudre P, Nornal PY, Spinaci S. DOTS Pilot project in Mongolia, 1995. Int J Tuberc Lung Dis. 1999;3:886–90.

    CAS  PubMed  Google Scholar 

  24. Fujiwara PI, Larkin C, Frieden TR. Directly observed therapy in new York City. Clin Chest Medic. 1997;18:135–48.

    Article  CAS  Google Scholar 

  25. Zwarenstein M, Schoeman JH, Vundule C, Lombard CJ, Tatley M. Randomised controlled trial of self-supervised and directly observed treatment of tuberculosis. Lancet. 1998;52:1340–3. https://doi.org/10.1016/S0140-6736(98)04022-7.

    Article  Google Scholar 

  26. Walley JD, Khan MA, Newell JN, Khan MH. Effectiviness of the direct observation component of DOTS for tuberculosis: a randomized controlled trial in Pakistan. Lancet. 2001;357:664–9.

    Article  CAS  PubMed  Google Scholar 

  27. Cunha NV, Cavalcanti MLT, Costa AJL. Situational diagnosis of tuberculosis control decentralization to family health strategy in Jardim Catarina – São Gonçalo (RJ), 2010. Cad Saúde Colet. 2010;20(2):177–87.

    Google Scholar 

  28. Bagchi S, Ambe G, Sathiakumar N. Determinants of poor adherence to antituberculosis treatment in Mumbai, India. Int J. Prev Med. 2010;1(4):223–32.

    PubMed  PubMed Central  Google Scholar 

  29. Long R, Heffernan C, Gao Z, Egedahl ML, Talbot J. Do “virtual and outpatient” public health tuberculosis clinics perform equally well? A program-wide evaluation in Alberta, Canada. PLoSONE. 2015;10(12):e01444784.

    Article  Google Scholar 

  30. Harries A, Boxshall M, Phiri S, Kwanjana J. Managing HIV and tuberculosis in sub-Sharan Africa. Lancet. 2006;367:1817–8.

    Article  PubMed  Google Scholar 

  31. Raviglione M, Sulis G. Tuberculosis 2015: burden, challenges and strategy for control and elimination. Infect Dis Rep. 2016;8(2):6570. https://doi.org/10.4081/idr.2016.6570.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Theron G, Jenkins H, Cobelens F, Abubakar L, Khan AJ, Cohen T, et al. Data for action: collection and use of local data to end tuberculosis. Lancet. 2015;386:2324–33.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Nunn P, Harries A, Godfrey-Faussett P, Gupta R, Maher D, Raviglione M. The research agenda for improving health policy, systems performance, and service delivery for tuberculosis control: a WHO perspective. Bull World Health Organ. 2002;80(6):471–6.

    PubMed  PubMed Central  Google Scholar 

  34. Dowdy DW, Azman AS, Kendall EA, Mathema B. Transforming the fight against tuberculosis: targeting catalystic of transmission. Clin Infect Dis. 2014;59:1123–9.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to thank all patients and health care workers who contributed to this study.

Funding

This study has been funding by the FAPESC Foundation.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Author information

Authors and Affiliations

  1. Departamento de Análises Clínicas for Programa de Pós-Graduação em Farmácia da, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil

    Mara Cristina Scheffer, Rodrigo IVAN Prim, Leticia Muraro Wildner, Taiane Freitas Medeiros & Maria Luiza Bazzo

  2. Departamento de Clínica Médica, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil

    Rosemeri Maurici

  3. Departamento de Saúde Pública, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil

    Emil Kupek

  4. Laboratório de Biologia Molecular, Sorologia e Micobactérias, Departamento de Análises Clínicas, Centro de Ciências da Saúde, Universidade Federal de Santa Catarina, Campos Universitário- Trindade, Florianopolis, SC, 88040-900, Brazil

    Maria Luiza Bazzo

Authors
  1. Mara Cristina Scheffer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rodrigo IVAN Prim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Leticia Muraro Wildner
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Taiane Freitas Medeiros
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rosemeri Maurici
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Emil Kupek
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Maria Luiza Bazzo
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

MCS designed the original study and, together with RP, LMW, and TFM, collected the data. MCS, RM, and EK provided the statistics and data analyses. MCS, EK, and MLB prepared the first draft of the paper. All authors read, reviewed, and edited all parts of the manuscript and approved the final manuscript.

Corresponding author

Correspondence to Maria Luiza Bazzo.

Ethics declarations

Ethics approval and consent to participate

This study was approved and consented by the Human Health Research Ethics Committee of Federal University of Santa Catarina. Certificate of Presentation for Ethical Consideration: 25716113.7.0000.0121. Administrative permissions were received for accessing medical records or databases in this study. All informants provided written informed consent using approved form by ethics committee, respondents under the age of eighteen, we additionally asked their parent/guardian for written informed consent. We guaranteed the anonymity and confidentiality of the given information by replacing patient names with numbers throughout the study.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Scheffer, M.C., Prim, R.I., Wildner, L.M. et al. Performance of centralized versus decentralized tuberculosis treatment services in Southern Brazil, 2006–2015. BMC Public Health 18, 554 (2018). https://doi.org/10.1186/s12889-018-5468-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-018-5468-8

Keywords

  • Tuberculosis
  • Public health
  • Treatment outcome
  • Decentralized

BMC Public Health

ISSN: 1471-2458

Contact us