Journal Information
Vol. 24. Num. 5.September - October 2018
Pages 273-320
Download PDF
More article options
Vol. 24. Num. 5.September - October 2018
Pages 273-320
Original article
DOI: 10.1016/j.rppnen.2017.10.002
Open Access
Diagnosis delay of tuberculosis in the Huambo province, Angola
E. Santosa,b,
Corresponding author

Corresponding author.
, Ó. Felgueirasc,d, O. Oliveirab, R. Duarteb,e,f
a Instituto Superior Politécnico, Universidade José Eduardo dos Santos, Cidade Alta, Huambo, Angola
b EpiUnit – Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, n° 135, 4050-600 Porto, Portugal
c Departamento de Matemática, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
d Centro de Matemática da Universidade do Porto, Porto, Portugal
e Departamento de Pneumologia, Centro Hospitalar de Vila Nova de Gaia/Espinho, EPE, Vila Nova de Gaia, Portugal
f Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Universidade do Porto, Porto, Portugal
This item has received

Under a Creative Commons license
Article information
Tables (2)
Table 1. Sociodemographic and clinical characteristics associated with the time delay until TB diagnosis in the Huambo Province, Angola.
Table 2. Factors associated with the time delay until TB diagnosis in the Huambo Province, Angola.
Show moreShow less

Early diagnosis is necessary for the success of the tuberculosis (TB) program. Goal: To identify factors associated with diagnosis delay of TB in Huambo, Angola.

Material and methods

Cross-sectional study carried out in patients diagnosed with TB at the Huambo Anti-Tuberculosis Dispensary (ATD) in the period between October 2015 and January 2016.


The 247 patients included in the analysis had a median age of 27 years and a median diagnosis delay of 64 days. In the univariate analysis, age, consumption of alcoholic beverages, living in a residence further than 10km from a healthcare unit, and looking for any other health unit than the emergency unit were associated with longer diagnosis delay. In the multivariate analysis model, to be between 30 and 44 years of age (p=0.018), to live in a residence more than 10km from a healthcare unit (p=0.006) and to turn to traditional medicine as the first healthcare option (p<0.001) were factors that led to greater time delay before diagnosis.


In the Huambo province, age, distance to healthcare facility and the first healthcare service consulted were associated with diagnosis delay of TB.

Associated factors
Full Text

Tuberculosis (TB) is a public health problem that affects millions of people worldwide1 especially in sub-Saharan Africa where the burden of TB is greater.2 For an effective TB control program it is essential to obtain early diagnosis, immediately begin appropriate treatment and ensure its continuity.3

Time delay in the diagnosis of TB plays an important role in the increase of infectivity, mortality risk and transmission of the disease in the community.4,5 It is estimated that an untreated patient with positive microscopy for TB bacillus can infect, on average, 10–15 community contacts within a year.6

The factors that contribute to the time delay in the diagnosis and treatment of TB may be related to the patient himself as well as the healthcare service.7–12 Sex, age, educational level, occupation, distance from home to the healthcare institution, co-morbidities and poor knowledge about TB, were some of the factors related to the patient.13–16 Lack of diagnosis resources, such as chest radiology, negative microscopy result, waiting time and the first healthcare unit consulted were associated to the system delay.8,10,15–17

In Angola, TB is one of the main reasons for visits to healthcare services. In 2015, the incidence of TB was 93 per 100,000 inhabitants.18 In 1981, the Angolan Ministry of Health established the National Tuberculosis Program (NTP), whose priority was the establishment of TB diagnosis and treatment services throughout the country.8 Huambo province is located on the central plateau of Angola, with an area of 35,771km2 and 2,019,555 inhabitants, corresponding to 7.8% of the total population of the country, according to the final results of the population census of 2014.19 The province's healthcare network consists of 11 municipal hospitals, 1 General/Provincial hospital, 1 Sanatorium hospital, 1 Anti-Tuberculosis Dispensary (ATD), 50 healthcare centers and 165 health posts (report from the provincial directorate of health, 2016). For the diagnosis and treatment of TB, the province has 12 outpatient units, some of which are linked to municipal hospitals. In these units, pulmonary TB diagnosis is based on sputum microscopy performed on three patient-provided samples, clinical history and chest radiography. For extrapulmonary TB (EPTB), the diagnosis is based on microscopy of biological products depending on the infected organ or only on the symptoms of the disease, the clinical history and the radiography, at the doctor's discretion. Patients with criteria for hospitalization due to complications of TB or requiring further intervention are referred to the sanatorium hospital, since it is the reference unit. Patients without criteria for hospitalization are directed to the ATD. Treatment is provided under directly observed treatment (DOT) during the intensive phase. In the maintenance phase, the patient is entrusted to a relative.

The Sanatorium hospital, with its ambulatory dependency ATD, is considered the reference center for TB in the region. The Sanatorium Hospital/ATD possesses a bacteriology laboratory for microscopy exams and a radiology section.

The Huambo province has a regional mycobacteriology laboratory that performs culture tests and antibiotic sensitivity tests (TSA) in the case of a negative microscopy, therapeutic failures or resistance to antibiotics in the Central South region.

The purpose of this study was to identify the factors associated with TB diagnosis delay in the population of Huambo, Angola.

MethodologyStudy design

Cross-sectional study including patients diagnosed with TB in the Huambo ATD, between October 2015 and January 2016.

Inclusion and exclusion criteria

All patients diagnosed with TB of all forms, who appeared in the Huambo ATD, at the time of application of the questionnaires, participated in the survey regardless the time of treatment. Included in this study (new and previous treatment) are all ages and both gender. Patients without complete information for the time delay variable were excluded from the analysis.

Place of study

The study was conducted at the ATD, and at the Sanatorium Hospital of Huambo.

Data collection

Data was collected through the distribution of questionnaires. Patient files and TB treatment cards were also reviewed. A questionnaire was developed for data collection and filled out by the patients at the time of their monthly follow-up appointments and by hospitalized patients if they were diagnosed in the study period. This task was performed over the course of 22 days by the technicians working in the TB area, who received a specific training seminar by the researcher. Patients were individually questioned in a closed environment on the unit's premises, to maintain patient privacy, after the clarification on the study and informed consent. The questionnaire included socio-demographic information, risk factors for the disease and clinical characteristics. The clinical information was collected in the patients’ files as well as some additional sociodemographic information contained therein, obtained before and after to survey.


464 patients were diagnosed during the study period and 353 responded to the survey. Of the subjects surveyed, 247 patients were selected for this study.

Definition of variables

The diagnosis of TB refers to the recognition by health workers of an active case, to a patient with current disease due to M. tuberculosis.20

Diagnosis delay was defined as the time between the onset of signs and symptoms of TB and the diagnosis (patient delay+healthcare delay).

In the municipality variable patients were split into those who lived in Huambo city and those who lived outside, including the other ten municipalities of the Huambo province and those from other provinces in Angola.

Age was categorized into four classes: <15 years, 15–29 years, 30–44 years and >45 years. Occupation was defined as regular occupation and included individuals with fixed employment, retired (since they have regular pensions) and students. Individuals without fixed employment or with irregular services such as street vendors, peasants and others were considered as having non-regular occupation.

The clinical presentation of TB was defined as pulmonary and extrapulmonary TB.

Statistical analysis

Univariate and multivariate linear regressions were performed with the response being the logarithmic transformation of the time delay. For the multivariate analysis the complete model was determined based on a selection of variables, using the stepwise regression method that minimizes the AIC (Akaike Information Criterion). All data analysis was performed with R version 3.3.2 software and p-value <0.05 was considered significant.

Ethics approval

The study was approved by the General Directorate of the Sanatorium Hospital of Huambo, Angola and the Ethics Committee of the São João Hospital Center and the Faculty of Medicine of the University of Porto, Portugal.


Of the 353 respondents, 247 patients were included in this study. Their median age was 27 years old, 159 (64%) were males, 197 (80%) had irregular occupations, 136 (55%) had a household size of 5–8 people, 151 (57%) patients did not consume alcoholic beverages and 204 (83%) did not smoke (Table 1).

Table 1.

Sociodemographic and clinical characteristics associated with the time delay until TB diagnosis in the Huambo Province, Angola.

Patient characteristics  n (%)  Time mean (s.d.)  Univariate analysis
      Exp (coef.) (p-value)  95% IC 
Huambo  195 (79)  74.4 (49.9)     
Outside of Huambo  52 (21)  101.2 (79.1)  1.30 (0.006)*  (1.08, 1.57) 
Male  159 (64)  83.0 (58.5)     
Female  88 (36)  74.7 (57.6)  0.88 (0.136)  (0.75, 1.04) 
Illiterate  24 (10)  84.5 (65.7)     
Primary school  60 (24)  83.2 (53.6)  1.05 (0.744)  (0.78, 1.41) 
High school (1C)  74 (30)  78.9 (62.5)  0.94 (0.673)  (0.71, 1.25) 
High school (2C) or +  89 (36)  78.5 (56.1)  0.97 (0.837)  (0.73, 1.29) 
<15 years  16 (6)  56.3 (51.0)     
15–29 years  121 (49)  78.6 (57.1)  1.41 (0.035)*  (1.03, 1.94) 
30–44 years  79 (32)  89.3 (60.9)  1.60 (0.005)*  (1.15, 2.23) 
45 or + years  31 (13)  74.6 (56.7)  1.33 (0.129)  (0.92, 1.93) 
Irregular occupation  197 (80)  81.1 (57.3)     
Regular occupation  50 (20)  76.2 (61.9)  0.91 (0.341)  (0.75, 1.10) 
Number of household members
Till 4 people  69 (28)  85.7 (60.5)     
Between 5 and 8 people  136 (55)  79.5 (59.5)  0.91 (0.313)  (0.76, 1.09) 
More than 8 people  42 (17)  72.8 (49.7)  0.85 (0.192)  (0.67, 1.08) 
Alcohol use
No  142 (57)  73.9 (53.5)     
Yes  46 (19)  90.7 (63.6)  1.24 (0.039)*  (1.01, 1.52) 
Used to drink  59 (24)  86.7 (63.4)  1.14 (0.168)  (0.95, 1.37) 
Tobacco use
No  204 (83)  78.4 (57.6)     
Yes  24 (10)  83.0 (63.2)  1.05 (0.709)  (0.81, 1.37) 
Used to smoke  19 (8)  93.7 (59.3)  1.23 (0.160)  (0.92, 1.65) 
Under 1km  32 (13)  54.9 (26.6)     
Between 1 and 10km  131 (53)  73 (50.1)  1.22 (0.095)  (0.97, 1.53) 
Over 10km  84 (34)  100.7 (71.3)  1.65 (0.000)*  (1.29, 2.10) 
First searched unit
Emergency Service  13 (5)  39.2 (12.8)     
Outpatient Hospital Service  131 (53)  64.8 (43.6)  1.47 (0.014)*  (1.08, 2.01) 
Health Center  48 (19)  78.3 (49.6)  1.79 (0.001)*  (1.28, 2.49) 
Private Clinic  42 (17)  117.2 (65.9)  2.70 (0.000)*  (1.93, 3.79) 
Traditional Medicine  13 (5)  161.4 (88.1)  3.67 (0.000)*  (2.42, 5.56) 
Passive tracking  217 (88)  82.2 (59.9)     
Active tracking  30 (12)  65.0 (41.4)  0.84 (0.138)  (0.66, 1.06) 
Clinical presentation
Pulmonary  234 (95)  80.0 (58.4)     
Extrapulmonary  13 (5)  81.2 (55.6)  1.04 (0.826)  (0.73, 1.47) 
Positive  186 (75)  80.4 (57.9)     
Negative  35 (14)  82.4 (57.9)  1.03 (0.789)  (0.82, 1.29) 
Without microscopy  26 (11)  74.4 (62.1)  0.88 (0.320)  (0.68, 1.13) 
Serology HIV
Positive  21 (9)  81.4 (50.7)     
Negative  197 (80)  81.3 (61.8)  0.95 (0.736)  (0.72, 1.26) 
Unknown  29 (12)  70.8 (33.0)  0.94 (0.709)  (0.66, 1.33) 
Family support
No  72 (29)  85.8 (58.8)     
Yes  175 (71)  77.7 (57.9)  0.89 (0.186)  (0.75, 1.06) 

p-Value <0.05.

The median diagnosis delay was 64 days (IQR: 37–95 days).

In the univariate analysis, living outside of Huambo (p=0.006), being aged between 15 and 29 (p=0.035) or 30–44 (p=0.005), consuming alcoholic beverages (p=0.039) and living in a residence more than 10km from a healthcare unit (p=0.001) were associated with longer diagnosis delay. Using the emergency unit as a reference, it was found that the patients who first sought out any other healthcare unit took more time until diagnosis (p0.014) (Table 1).

The multivariate analysis model indicated that individuals aged between 30 and 44 years (p=0.018), living at a distance greater than 10km from a healthcare unit (p=0.006), and not going to the emergency unit, especially if they first used traditional medicine (p<0.001), had longer diagnosis delay (Table 2).

Table 2.

Factors associated with the time delay until TB diagnosis in the Huambo Province, Angola.

Factors  Multivariate analysis Exp (coef.) (p-value)  95% CI 
15–29 years  1.27 (0.090)  (0.96, 1.68) 
30–44 years  1.41 (0.018)*  (1.06, 1.88) 
45 or + years  1.30 (0.107)  (0.94, 1.80) 
Under 10km   
Between 1 and 10km  1.14 (0.229)  (0.92, 1.40) 
Over 10km  1.36 (0.006)*  (1.09, 1.70) 
First searched unit
Emergency Service   
Outpatient Hospital Service  1.38 (0.038)*  (1.02, 1.88) 
Health Center  1.60 (0.006)*  (1.15, 2.23) 
Private Clinic  2.36 (0.000)*  (1.68, 3.31) 
Traditional Medicine  3.22 (0.000)*  (2.12, 4.88) 

p-Value <0.05.

One hundred and six patients were excluded from the analysis because they did not know the date of the onset of their symptoms, which meant that the time delay until the diagnosis could not be calculated. The median age of these patients was 25 years and 75 (71%) were male. Excluded patients differed from the included ones especially in tobacco use (lower proportion of non-smokers, p=0.005), qualifications (higher proportion of illiterate and primary educated, p<0.001) and the first healthcare unit sought (higher proportion of Health Center and Emergency Service, p<0.001).


In this study the time delay of 247 diagnosed patients at the Huambo ATD, between October 2015 and January 2016 was evaluated.

The median diagnosis delay was 64 days. Our findings do not differ from other studies in Nepal,21 Ethiopia,10 India,12 Yemen,22 and Zambia23 where the median delay was 60–63 days. On the other hand, Tanzania24 had a considerably longer median time of 136 days and Portugal25 a shorter one of 36 days. A previous study conducted in Luanda, Angola, had a median diagnosis delay of 45 days.8 The factors associated with delaying the diagnosis of TB may be different between Huambo and Luanda, considering the greater concentration of the population in the country's capital (72% living in urban area).

In the univariate analysis, we found that living outside of Huambo city, being between 15 and 29 or 30–44, consuming alcoholic beverages, living in a residence more than 10km from a healthcare unit and seeking health care outside of the emergency service system were associated with longer diagnosis delay.

Based on the multivariate analysis results encountered, belonging to the 30–44 years old age group was associated with a longer time delay until diagnosis. Age has been associated with diagnosis delay in other studies.9,10,14–16,24,25 Several social factors such as work schedule and difficulty in organizing working time to visit healthcare services have been given as explanations for a greater delay in this age group.15

Regarding the distance to the healthcare service, in the studies carried out in Ethiopia and Tanzania, the patients who lived more than 10km away from the healthcare institutions had a longer time delay until the diagnosis of TB, when compared to those living within a 10km radius.17,24 Other studies have found a relationship between longer walking distance to a healthcare facility and patient delay in Nepal,14 Nigeria,16 Odisha, India11 and south India.12 These studies corroborate our findings, in which the distance from the healthcare service was considered a factor in diagnosis delay due to unavailability and lack of access to TB diagnosis and treatment units in rural areas.

The first healthcare service consulted was identified as the risk factor for longest delay until diagnosis, particularly if it was a private clinic or a traditional healer. Though most patients (78.9%) lived in the Huambo municipality, we cannot say whether the demand for these units is attributable to patients living in rural or urban areas. Although the number of patients that consulted the health center (17%) and traditional healer (5%) is low, there is a longer delay time. Similar results were also verified in the previous study in Luanda. This was also confirmed in previous studies, where longer diagnosis delays were obtained when private healthcare facilities and traditional healers,11,12,17,24,26 were the first healthcare unit used. On the other hand, in the Huambo province, poor availability and accessibility of the primary health care, lack of public transport for some communities and socioeconomic conditions of the patients can be considered in the diagnosis delay.

Our study had some limitations. It was performed in an area with insufficient resources. Patients who appeared at the weekend were not questioned. Other limitations of our study were mainly related to the exclusion of the population that did not remember the date of the onset of their symptoms. However, despite the fact that the excluded patients differ in their smoking habits, literary qualifications and first healthcare unit used, there were no differences between the two groups in any of the other analyzed variables that were significant in the diagnosis delay. We cannot exclude memory bias in the responses. We assume that the delay time was calculated based on the dates declared by the patients, which may have been subject to error.

Despite the limitations presented, the strengths of this study are relevant. The study was carried out in the reference unit that covers the region, with good adherence and it is the first study on TB diagnosis delay in the Huambo province.


In the Huambo province, age, distance to healthcare units and the first healthcare service used were associated with tuberculosis diagnosis delay. To reduce delays and improve access to health care, efforts should be made to expand public health institutions in rural communities, to decentralize health services. The government, via Ministry of Health, should create policies involving the private sector in TB care. This will provide a key basis for TB control and health coverage for people living in areas of poor access. The community should also be informed on how to recognize the symptoms of TB through lectures, and healthcare professionals should be better trained, in order to reduce the patient's delay time until diagnosis and initiate treatment as early as possible, interrupting TB transmission.27 Although sputum microscopy is the favoured method used in the province, new diagnostic techniques like Xpert MTB/Rifampin should be implemented, because they contribute to the rapid diagnosis and effective detection of TB disease and drug resistance.28,29

Conflicts of interest

The authors have no conflicts of interest to declare.


Our thanks go to the Erasmus Mundus DREAM project for the scholarship granted. We also thank the collaboration of the Provincial Directorate of Health, General Direction of the Hospital Sanatorio of Huambo, for the permission for this study and to the collaborators: Marcos Nguvulo, Esmeralda Santos, Jack Osvaldo and Georgina Tavares. Ó. Felgueiras was partially supported by CMUP (UID/MAT/00144/2013), which is funded by FCT with national (MCTES) and European structural funds through the programs FEDER, under the partnership agreement PT2020.

Global tuberculosis report
World Health Organization, (2014)
C. Dye, A.D. Harries, D. Maher
Disease and mortality in Sub-Saharan Africa, 2nd ed.,
[Chapter 13] Available from:
The stop TB strategy WHO
C.T. Sreeramareddy, K.V. Panduru, J. Menten, J. Van den Ende
Time delays in diagnosis of pulmonary tuberculosis: a systematic review of literature
BMC Infect Dis, 9 (2009), pp. 91
Diagnostic and treatment delay in tuberculosis
WHO, Mediterranean ROftE, (2006)
Secretaria de Vigilância em Saúde, Departamento de Vigilância Epidemiológica
Guia de Vigilância Epidemiológica
7ª ed., MINISTÉRIO DA SAÚDE, (2009)pp. 816
L.F. Sherman, P.I. Fujiwara, S.V. Cook, L.B. Bazerman, T.R. Frieden
Patient and health care system delays in the diagnosis and treatment of tuberculosis
Int J Tuberc Lung Dis, 3 (1999), pp. 1088-1095
L. Segagni Lusignani, G. Quaglio, A. Atzori, J. Nsuka, R. Grainger, C. Palma Mda
Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola
BMC Infect Dis, 13 (2013), pp. 168
M. Rojpibulstit, J. Kanjanakiritamrong, V. Chongsuvivatwong
Patient and health system delays in the diagnosis of tuberculosis in Southern Thailand after health care reform
Int J Tuberc Lung Dis, 10 (2006), pp. 422-428
S.B. Gebreegziabher, G.A. Bjune, S.A. Yimer
Patients’ and health system's delays in the diagnosis and treatment of new pulmonary tuberculosis patients in West Gojjam Zone, Northwest Ethiopia: a cross-sectional study
BMC Infect Dis, 16 (2016), pp. 673
S. Basa, S. Venkatesh
Patient and healthcare system delays in the start of pulmonary tuberculosis treatment among tribal patients registered under DOTS, Odisha
J Clin Diagn Res, 10 (2016), pp. Lc21-Lc24
R. Rajeswari, V. Chandrasekaran, M. Suhadev, S. Sivasubramaniam, G. Sudha, G. Renu
Factors associated with patient and health system delays in the diagnosis of tuberculosis in South India
Int J Tuberc Lung Dis, 6 (2002), pp. 789-795
A.A. Beraldo, T. Arakawa, E.S. Pinto, R.L. Andrade, A.D. Wysocki, R.A. da Silva Sobrinho
Delay in the search for health services for the diagnosis of tuberculosis in Ribeirao Preto, Sao Paulo
Ciencia Saude Coletiva, 17 (2012), pp. 3079-3086
M. Choudhari, N. Jha, D.K. Yadav, D. Chaudhary
Factors associated with patient delay in diagnosis of pulmonary tuberculosis in a district
J Nepal Heal Res Counc, 10 (2012), pp. 234-238
Y. Lin, D.A. Enarson, C.Y. Chiang, I.D. Rusen, L.X. Qiu, X.H. Kan
Patient delay in the diagnosis and treatment of tuberculosis in China: findings of case detection projects
Public Heal Action, 5 (2015), pp. 65-69
K.N. Ukwaja, I. Alobu, C.O. Nweke, E.C. Onyenwe
Healthcare-seeking behavior, treatment delays and its determinants among pulmonary tuberculosis patients in rural Nigeria: a cross-sectional study
BMC Heal Serv Res, 13 (2013), pp. 25
A. Hussen, S. Biadgilign, F. Tessema, S. Mohammed, K. Deribe, A. Deribew
Treatment delay among pulmonary tuberculosis patients in pastoralist communities in Bale Zone, Southeast Ethiopia
BMC Res Notes, 5 (2012), pp. 320
World Health Organization
Global tuberculosis report 2016
WHO, (2016)pp. 139
I.N.E. Angola
Resultados Definitivos do Censo. Recenseamento Geral da População e Habitação de Angola, 2014
Instituto Nacional de Estatística, Censo GCd, (2016)
World Health Organization and Stop TB Initiative. Treatment of tuberculosis: guidelines
4th ed., World Health Organization, (2010)
R. Basnet, S.G. Hinderaker, D. Enarson, P. Malla, O. Morkve
Delay in the diagnosis of tuberculosis in Nepal
BMC Public Heal, 9 (2009), pp. 236
J. Date, K. Okita
Gender and literacy: factors related to diagnostic delay and unsuccessful treatment of tuberculosis in the mountainous area of Yemen
Int J Tuberc Lung Dis, 9 (2005), pp. 680-685
D.M. Needham, S.D. Foster, G. Tomlinson, P. Godfrey-Faussett
Socio-economic, gender and health services factors affecting diagnostic delay for tuberculosis patients in urban Zambia
Trop Med Int Health, 6 (2001), pp. 256-259
E.R. Wandwalo, O. Morkve
Delay in tuberculosis case-finding and treatment in Mwanza, Tanzania
Int J Tuberc Lung Dis, 4 (2000), pp. 133-138
M. Guimarães, O. Oliveira, C. Teixeira, A. Gaio, R. Duarte
Delay in the diagnosis of tuberculosis
Revista Portuguesa Pneumologia, 21 (2015),
S. Yimer, G. Bjune, G. Alene
Diagnostic and treatment delay among pulmonary tuberculosis patients in Ethiopia: a cross sectional study
BMC Infect Dis, 5 (2005), pp. 112
N.N. Bock, P.A. Jensen, B. Miller, E. Nardell
Tuberculosis infection control in resource-limited settings in the era of expanding HIV care and treatment
J Infect Dis, 196 (2007), pp. S108-S113
Y. Hida, K. Hisada, A. Shimada, M. Yamashita, H. Kimura, H. Yoshida
Rapid detection of the Mycobacterium tuberculosis complex by use of quenching probe PCR (geneCube)
J Clin Microbiol, 50 (2012), pp. 3604-3608
K.R. Steingart, I. Schiller, D.J. Horne, M. Pai, C.C. Boehme, N. Dendukuri
Xpert® MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults
Cochrane Database Syst Rev, (2014), pp. 171
Copyright © 2017. Sociedade Portuguesa de Pneumologia

Subscribe to our Newsletter

Article options

Are you a health professional able to prescribe or dispense drugs?

Cookies policy
To improve our services and products, we use cookies (own or third parties authorized) to show advertising related to client preferences through the analyses of navigation customer behavior. Continuing navigation will be considered as acceptance of this use. You can change the settings or obtain more information by clicking here.