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Vol. 21. Issue 6.
Pages 346-348 (November - December 2015)
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Vol. 21. Issue 6.
Pages 346-348 (November - December 2015)
Letter to the Editor
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Delay in the diagnosis of tuberculosis
Visits
1210
M. Guimarãesa,
Corresponding author
carguinhas.gui@gmail.com

Corresponding authors.
, O. Oliveiraa, C. Teixeirab, A.R. Gaiob,c, R. Duartea,d,e,f,
Corresponding author
rdmelo@med.up.pt

Corresponding authors.
a EPIUnit – Institute of Public Health, University of Porto, Portugal
b Department of Mathematics, Faculty of Sciences, University of Porto, Portugal
c Centre of Mathematics of the University of Porto, Portugal
d Faculty of Medicine of the University of Porto, Portugal
e Pulmonology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, EPE, Vila Nova de Gaia, Portugal
f National Centre for Multidrug-resistant Tuberculosis, Portugal
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Table 1. Risk factors associated with increased waiting time for TB diagnosis.
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Dear Editor,

Tuberculosis (TB) remains a major global public health problem and is the second leading cause of death from infectious disease worldwide.1

Delays in diagnosis may worsen the disease, increase the risk of death and enhance TB transmission within the community. These delays may be attributed to both patients and the health care system.3

This study was designed to assess risk factors associated with an increased time between symptoms and diagnosis.

A cross-sectional study involved 68 patients identified by passive screening and being treated for TB at a TB outpatient clinic, in Gaia, Portugal between November 2013 and April 2014. Each patient answered a semi-structured questionnaire on the day of clinical appointment. The questionnaire was designed to assess patient progress from initial symptoms until diagnosis.

Of the 68 patients, 40 (58.8%) were male, with mean age 47.1 years. Twenty patients (29.4%) presented with respiratory symptoms, 31 (45.6%) with systemic symptoms and 17 (25%), with both. Of these 68 patients, 23 (33.8%) were unemployed. The first health unit identified was: for 36 patients (52.9%) the hospital emergency room, for 32 patients (47.1%) the primary care physician, a private clinic or TB outpatient clinic. Thirty-seven (54.4%) required 1–2 visits to health facilities before diagnosis, and 31 (45.6%) required more than 2 visits (Table 1).

Table 1.

Risk factors associated with increased waiting time for TB diagnosis.

Variable  n (%)  Univariate analysis  Multivariate analysisWaiting time 
    p-Value  IC 95%  Exp(Coef) (p-value)  Mean (dp) 
Age, years
<=45  37 (54.4%)  0.853    53.6 (59.0) 
>45  31 (45.6%)      59.5 (90.3) 
Sex
Female  28 (41.2%)  0.008(0.31–0.82)0.499 (0.006)76.1 (92.5) 
Male  40 (58.8%)  42.5 (55.6) 
Work
Unemployed  23 (33.8%)  0.104    35.3 (36.8) 
Employed  45 (66.2%)      67.0 (86.0) 
Immigrant
No  60 (88.2%)  0.198    60.1 (78.1) 
Yes  8 (11.8%)      28.1 (21.7) 
Transport
Private  37 (54.4%)  0.083    73.4 (94.4) 
Public  31 (45.6%)      36.0 (29.6) 
Health service sought
Emergency department+hospital network  36 (52.9%)  0.047    53.4 (85.4) 
Private clinic+primary care  32 (47.1%)      59.6 (60.7) 
Visits to the health facility
1 or 2  37 (54.4%)  0.001(1.43–3.77)2.324 (0.001)38.9 (58.4) 
More than 2  31 (45.6%)  77.2 (86.2) 
Health facility opened
No  47 (69.1%)  0.900    63.0 (85.9) 
Yes  21 (30.9%)      41.4 (34.8) 
Health unit open evenings
No  23 (33.8%)  0.173(1.04–2.89)1.736 (0.035)47.9 (52.6) 
Yes  45 (66.2%)  60.6 (83.5) 
Missing work
No  54 (79.4%)  0.146    45.9 (55.3) 
Yes  14 (20.6%)      96.5 (117.7) 
Contact with tuberculosis
No  38 (55.9%)  0.985    52.2 (59.2) 
Yes  30 (44.1%)      61.6 (90.8) 
Discriminated
No  47 (69.1%)  0.132    66 (84.6) 
Yes  21 (30.9%)      34.7 (36.8) 
Spent money
No  30 (44.1%)  0.886    45.1 (41.4) 
Yes  38 (55.9%)      65.2 (92.1) 
Symptoms
Respiratory  20 (29.4%)        57.7 (85.5) 
Systemic  31 (45.6%)  0.779      66.0 (83.3) 
Both  17 (25%)  0.694      37.2 (29.8) 
Qualifications
Primary school  27 (39.7%)        46.9 (68.0) 
Secondary/tertiary school  34 (50%)  0.448      56.9 (60.6) 
University  7 (10.3%)  0.910      90.1 (140.7) 

The median time from onset of symptoms to diagnosis was 36 days.

Being a woman (waiting time for women 76.1 days vs 42.5 days for men), employed (67.0 vs 35.3 days), native (60.1 vs 28.1 days), having an university degree (90.1 vs 46.9 days) and having used private transportation (73.4 vs 36.0 days) to arrive to clinical appointment was associated with a longer waiting time until diagnosis (Table 1).

In the multivariate analysis just being a woman (p=0.006), and visiting the health unit after 18:00h (p=0.035) was significantly associated to a longer waiting period (Table 1).

The median waiting time from symptoms to diagnosis in our population was shorter than in other studies. A previous study in Portugal reported a median waiting time of 92 days4 while among low and median income countries, median total delay ranged from 25 days in China to 185 days in Tanzania, with an average of 67.8 days.3 Among high income countries, delays ranged from 42 days in Japan to 89 days in USA, with an average of 61.3 days.3

The waiting time from symptom detection to diagnosis was twice as long for women than for men. As there is a greater proportion of the disease in men,2 this may cause lower degree of suspicion in women.

Ability to attend health facilities after 18h was associated with longer period to diagnosis. This was unexpected, as we hypothesized that increased hours of operation would be associated with easier access to health care and a more rapid diagnosis. During evening hours, however, these units function as emergency units, with no scheduled appointments, and with patients being seen by different medical doctors at each visit. Moreover, these units may lack appropriate diagnostic resources and may be limited in terms of scheduling appropriate patient follow up. In fact, 45.6% of the patients required more than 2 clinical appointments before diagnosis.

Access to care can depend on a complex interaction of multiple factors including awareness even in unknown risk groups; the responsiveness of units to the needs of users, including availability, accessibility, affordability, appropriateness and acceptability; and patient behavior seeking health care, which may be influenced by socio-cultural, behavioral, financial and organizational factors.5

Although there are some known risk factors associated with TB, still the great majority does not have any. In our population, patients with a characteristic usually associated with a better social status were the ones with a longer waiting period until diagnosis.

Being a woman was the only significant characteristic associated to the patient; attending health facilities without any follow up was associated with longer period to diagnosis.

Awareness of TB should be enhanced.

Authors’ contribution

Raquel Duarte and Marta Guimarães devised the study. Marta Guimarães worked up the draft manuscript. Marta Guimarães and Olena Oliveira collected the data. Raquel Duarte revised the draft.

Conflicts of interest

The authors have no conflicts of interest to declare.

References
[1]
WHO. Global Tuberculosis Reported 2013. Who document: (WHO/HTM/TB/2013.11) http://www.who.int/tb/publications/global_report/en/
[2]
Direção Geral da Saúde Programa Nacional para a Infeção VIH/SIDA. Infeção VIH/SIDA e TUBERCULOSE em números 2013.
[3]
D.G. Storla, S. Yimer, G.A. Bjune.
A systematic review of delay in the diagnosis and treatment of tuberculosis.
BMC Public Health, 8 (2008), pp. 15
[4]
V. Areias, I. Neves, A. Carvalho, R. Duarte.
Mycobacterium tuberculosis, how long did you walk?.
Rev Port Pneumol, 19 (2013), pp. 139-140
[5]
S.D. Lawn, B. Afful, J.W. Acheampong.
Pulmonary tuberculosis: diagnostic delay in Ghanaian adults.
Int J Tuberc Lung Dis: Off J Int Union Against Tuberc Lung Dis, 2 (1998), pp. 635-640
Copyright © 2015. Sociedade Portuguesa de Pneumologia
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