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Erschienen in: BMC Infectious Diseases 1/2019

Open Access 01.12.2019 | Research article

Delays to anti-tuberculosis treatment intiation among cases on directly observed treatment short course in districts of southwestern Ethiopia: a cross sectional study

verfasst von: Abyot Asres, Degu Jerene, Wakgari Deressa

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2019

Abstract

Background

Delayed tuberculosis (TB) diagnosis and treatment increase morbidity, mortality, expenditure, and transmission in the community. This study assessed patient and provider related delays to diagnosis and treatment of TB.

Methods

A cross-sectional study was conducted among 735 new adult TB cases registered between January to December 2015 in 10 woredas equivalent to districts of southwestern Ethiopia. Data were collected through face-to-face interview of patients within the first 2 months of treatment initiation. Delay in days was tracked at three intervals: between onset of symptoms and self-presentation (Patient delay), Self-presentation to treatment initiation (Provider delay) and total delay. Days elapsed beyond median were used to define the delays. Bivariate and multiple logistic regression models were fit to identify predictors of delays and statistical significance was judged at p < 0.05.

Result

The median (inter-quartile range) of patient, provider and total delays were 25 (IQR;15–36), 22 (IQR:9–48) and 55 (IQR:32–100) days, respectively. More than half (54.6%) of the total delay was attributed to health system. Prior self-treatment [adjusted Odds Ratio (aOR)]: 1.72, 95% confidence interval [CI]:1.07–2.75), HIV co-infection (aOR:1.8, 95% CI: 1.05–3.10) and extra-pulmonary TB (aOR: 1.54,95% CI:1.03–2.29) were independently associated with increased odds of patient delay. On the other hand initial presentation to health posts or private clinics (aOR: 1.42, 95% CI: 1.01, 2.0) and patient delay (aOR: 1.81, 95% CI: 1.33–2.50) significantly predicted longer provider delay. Finally, having extra pulmonary TB (aOR: 1.6, 95% CI: 1.07–2.38), prior consultation of traditional healer (aOR: 3.72, 95% CI: 1.01–13.77) and use of holy water (aOR: 2.73, 95% CI: 1.11, 6.70) independently predicted longer total delay.

Conclusion

Tuberculosis patients waited too long time to initiate anti-TB treatment reflecting longer periods of morbidity and disease transmission. The delays are attributed to the patient, disease and health system related factors. Hence, improving community awareness, involving informal providers, health extension workers and TB treatment supporters can reduce the patient delay. Similarly, cough screening and improving diagnostic efficiencies of healthcare facilities should be in place to reduce the provider delays.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12879-019-4089-x) contains supplementary material, which is available to authorized users.
Abkürzungen
ART
Antiretroviral Therapy
CI
Confidence Interval
CPT
Cotrimoxazole Prophylactic Therapy
DOTS
Directly Observed Treatment Short course
EPTB
Extra pulmonary Tuberculosis
HBC
High Burden Countries
HCF
Healthcare Facility
HIV
Human Immunodeficiency Virus
IQR
Inter-quartile Range
OR
Odds Ratio
PTB
Pulmonary Tuberculosis
TB
Tuberculosis
WHO
World Health Organization

Background

Tuberculosis (TB) has been recognized as a global public health problem since 1993 when an estimated 7–8 million cases and 1.3–1.6 million deaths occured [1] . Since then, different global strategies have been designed and implemented for the control of TB; consequently an estimated 54 million lives were saved between 2000 and 2017 [2]. Despite such achievement, TB remained to be among the major global public health problems. Globally, 10 million incident cases and 1.3milion deaths were estimated to occur in 2017. Of the estimated incident cases, only 6.4 million (64%) were notified to National TB programs (NTPs) [2].
Tuberculosis is among the major public health problems in Ethiopia accounted for third cause of hospital admission and second cause of death [3]. Ethiopia is among the 30 TB High Burden Countries (HBC) where about 172,000 new cases and 25,000 deaths were estimated to occur in 2017. Out of the estimated cases in 2017, only 117,705 (68%) were notified to NTP [2]. The first national prevalence survey in 2011 revealed smear positive pulmonary TB (PTB) prevalence of 108/100,000. The survey further reported 55% of the cases were first identified by the survey and were not on treatment until the survey [4].
Early detection and treatment of TB cases have been a priority in the prevention and control of TB [5]. The delay to TB treatment can be categorized into: 1) patient delay that constitute time elapsed between onset of TB symptoms and first self presentation to formal care, 2) provider delay as time elapsed between first presentation to formal care and anti-TB treatment initiation and 3) total delay as time elapsed between onsets of TB symptoms and anti-TB treatment initiation. When diagnosis of TB is delayed, patients go without treatment for long and transmit the disease. In high prevalence settings, each infectious case of TB can result in up to 20 secondary infections until detection [6] . Moreover, delays to diagnosis and treatment of TB result in more serious illness by the time of diagnosis, increased length of infectiousness and poor treatment outcomes [711] and represent a time span for additional costs [12]. Consequently, delays to diagnosis has been emphasized as a major obstacle to TB control [13].
Systematic reviews of studies across the world reported median patient delay of 30 days and provider delay of 7-28 days [13, 14]. On the other hand, diagnostic delays ranging from a median of 8-191 days at different levels of health care delivery systems [7, 8, 1518] were reported. Studies from different parts of Ethiopia also reported longer delays to initiate treatment for TB with median patient delay of 20–90 days [16, 17, 19] and provider delay of 6-34 days [17, 1921]. A prevalence survey in northern Ethiopia [22] reported two-thirds of active TB cases were not detected timely. The long patient, provider and total delays are attributed to female gender, older age, low awareness about TB, repeated visits to health facilities, visiting lower level health care facilities and traditional healer [23, 24].
The studies in Ethiopia are limited to smear positive PTB cases [21], focused on cases presenting to either health centers [20] or hospitals [25] but not both. Moreover, the studies were conducted when TB had been treated for 8 months. Studies have shown that shorter treatment regimens could dramatically accelerate the reductions in TB incidence and mortality that can motivate suspects to seek care early and treatment [26]. In Ethiopia, treatment regimen of 6 months was introduced in 2011. Thus, complete picture of the patterns of delay of different categories of TB at different health care setups and in the era of reduced treatment regimen is scanty in the country. As a result the national TB research advisory council has set identification of barriers for the different forms of delays to TB treatment as a national priority research agenda [27]. However, recent evidences are lacking in Ethiopia in general and the study area in particular. Therefore, this study investigated time delays to initiate formal care seeking, diagnosis and treatment along with factors associated with the delays among new TB cases on treatment at health centers and hospitals in districts of southwestern Ethiopia.

Methods

Study design and setting

A cross-sectional study was conducted among newTB cases on treatment from January through December 2015 in three zones of Southern Nation Nationalities and Peoples Region (SNNPR); one of the nine Regional States in Ethiopia. The three study Zones include Bench Maji, Kaffa and Sheka together comprised of 26 woredas and four town administrations where about 2,064,102 peoples reside [28]. During the study, there were three hospitals and 65 health centers providing TB diagnosis and treatment based on national guidelines adopted from WHO [29, 30].

Study population and sampling

The study population comprised of all new smear positive, smear negative and extra pulmonary TB cases older than 18 years and on anti-TB treatment at health centers and hospitals. Accordingly the sample size was computed using StatCalc program of EpiInfo using 95% significance level, 80% power, 38% expected proportion of illiteracy among those initiated formal healthcare seeking within 30 days of onset of illness and odds ratio (OR) 1.7 [31]. The calculation provided 486 cases, considering design effect of 1.5 and non-response of 10%, 802 new cases were required. Then ten woredas from the three zones were selected and all healthcare facilities providing TB diagnosis and treatment in the selected woredas were included for the study. Thus a total of 11 health centers and three hospitals were included. The samples were proportionally allocated to the zones, woredas and health facilities based on the TB caseloads reported during the preceding fiscal year to the study period. Finally, consecutive consenting new smear positive, smear negative and extra pulmonary cases within the first 2 months of anti-TB treatment and older than 18 years were enrolled until the required sample was reached.

Data collection and analysis

Data were collected using structured questionnaire adapted from similar studies [4, 12, 32] and data abstraction checklist prepared from TB register and individual clinical chart. The questionnaire was translated into national language (Amharic) spoken by almost all residents in the study area. Ten diploma graduate nurse data collectors and three public health specialist (MPH) supervisors were recruited and trained for 3 days. Finally, new cases of TB were traced from the unit TB register and interviewed for their sociodemographic, health care seeking practices and knowledge towards TB.
Patient delay was assessed by asking the participants to recall or estimate the date or number of days elapsed between onset of TB constitutional symptoms (cough, fever, night sweats, chest pain, weight loss, loss of appetite) until they present to formal healthcare. Similarly, provider delay was estimated by asking date or number of days elapsed between first formal health care facility visit to final diagnosis and treatment initiation with anti-TB treatment. Finally, total delay was computed as a sum of patient and provider delay or number of days elapsed between onsets of illness to initiation of anti-TB treatment.
Knowledge about TB was assessed using eight items including cause of TB, TB is hereditary, TB is contagious, mode of TB transmission, (symptoms of TB, TB is curable, length of treatment and anti-TB drugs charge. Responses were recorded as 1 = yes as correct and 0 = no as wrong. The items internal consistency was checked (Cronbach’s Alpha (α) = 0.75) before computing an index. Finally, a knowledge index was computed from the scores and dichotomized in to good for those scored above median or poor otherwise.
Data were entered into Epi data, and processed on SPSS version 21. The data were described using frequency, proportions, measures of location and dispersion. Distribution numeric variables were assessed using normality plots (Q-Q plots and/or histograms) or Kolmogorov-Smirnov test for normality. The distribution of number of days elapsed across different time points were not normal and median days were used as a cutoff point to define delays. Thus patient, provider and total delays were defined based on median days elapsed.
Comparisons of medians across different groups was made using Manwhitney U and Kruskual Walis tests. Finally, bivariate and multiple binary logistic regression models were fitted to identify independent predictors of delays. Selection of the variables for multiple regression were made based on p value <=0.25 on crude analysis. The logistic model fitness was checked using Hosmer and Lemeshow test. In all the statistical tests, statistical significance was judged at p < 0.05.
Definition of terms
  • Patient delay:days elapsed between onsets of illness to first formal healthcare seeking
  • Health system /provider delay: is days spent between first consultation to initiation of treatments
  • Total delay: number of days elapsed since onset of illness to anti-TB treatment initiation
  • Healthcare facility: health institutions including health post, clinics, health center, and hospital organized to provide formal healthcare.
  • Care seeking: consulting formal healthcare from healthcare facilities following illness.
  • New case of TB: is a patient who never had treatment for TB, or has been on anti-TB treatment for less than 4 weeks in the past.

Results

Sociodemographic characteristics of the patients

A total of 735 TB cases from three hospitals and 11 health centers in the three zones were studied. Accordingly, 469(63.8%) and 266(37.2%) of the cases were registered at health centers and hospitals, respectively. The median age of the cases was 27 (inter-quartile range (IQR:20–37) years. Among the cases, 389(52.9%) and 216(29.4%) had completed elementary school and farmer, respectively (Table 1).
Table 1
Sociodemographic characteristics of TB cases on directly observed short course treatment (DOTS) in districts of southwestern Ethiopia, January to December 2015 (n = 735)
Variable
 
Frequency
Percent
Gender
Male
446
60.7
Age(years)
18–34
503
68.4
35–65
216
29.4
>65
16
2.2
Marital status
Never married
275
37.4
Currently married
404
55.0
Widowed/divorced
56
7.6
Educational status
No formal education
212
28.8
Completed elementary
389
53.0
Secondary and above
134)
18.2
Occupation
Employed
172
23.4
Farming
216
29.4
Unskilled work b
51
6.9
Dependants c
296
40.3
Religion
Orthodox
300
40.8
Muslim
104
14.1
Catholic
4
0.5
Protestant
314
42.7
Traditional
13
1.8
Residence
Urban
369)
50.2
Rural
366
49.8
Household size
Mean/SD
4.3/2.1
 
aStandard deviation bhousemaid, daily laborer, c students, house wife, d father/ mother /husband/ wife/brother/sister/employer

Knowledge towards tuberculosis

Almost all 721(98.1%) of the cases mentioned their illness as TB. Only 539(73.3%) had ever heard about TB before they were diagnosed as TB case. Among those ever heard about TB, 253(48.3%), 200(38.1%), 191(36.4%) and 190(35.3%) had heard from mass media, health facilities, TB patients and relatives respectively. The aggregated knowledge score about TB revealed, 545(74.1%) had scored above a median of 4.5 out of the eight items and labeled as having good knowledge.

Delays to TB diagnosis and treatment

The median patient delay was 25 (IQR: 15–36) days. The median patient delay is significantly different across type of TB, educational status, marital status, and knowledge towards TB at P < 0.05(Additional file 1: Table S1). Three hundred seventeen (43.1%) cases perceived their first formal healthcare visit was delayed due to lack of money and waiting self limit was reported among 109 (26.1%) and 256 (80.8%), respectively. Clinically, cough, night sweating and fever were reported among 563(76.6%), 345(46.9%) and 300(40.8%) cases, respectively. While, 139(18.9%) of the cases took informal cares such as visiting traditional healer; only a third, 240(32.6%) consulted formal healthcare within 15 days of the onset of illness. The decision to ultimate visit to HCF was made upon referral and/or advice from relatives 280(38.6%), and TB patients on treatment 30(4.2%). Thus, 260 (35.4%) and 238(32.4%) of the cases first visited private clinics and public health centers respectively (Table 2).
Table 2
Initial symptoms encountered and Health care seeking pathways among new TB cases on directly observed treatment short course (DOTS), Southwestern Ethiopia, January to December 2015 (n = 735)
Variable
Frequency
Percent
Initial symptoms encountered
Cough
563
76.6
Night sweat
345
46.9
Fever
300
40.8
Loss of appetite
279
38.0
Chest pain
267
36.3
Weight loss
236
32.1
Haemoptysis
144
19.6
Othersa
62
8.4
First action to illness
Visit HCF
596
81.1
Self-treatment
98
13.3
Visit holy water
26
3.5
Consult traditional healer
15
2.0
Perceived reason for not visiting HCF first (n = 149)
Thought illness limit by itself
97
65.1
Perceived long waiting time at HCF
37
24.8
Perceived expensive service fee
37
24.8
HCF too far
29
19.5
Other b
22
14.8
First HCF visited
Private clinic
260
35.4
Health center
238
32.4
Hospital
221
30.1
Health post
16
2.2
Source of advice/referral to visit first HCF
Self
472
64.2
Parent/relative
280
38.1
HEW c
32
4.4
TB patient
30
4.1
HIV care clinic
16
2.2
Otherd
31
4.2
Travel time to first HCF visited
<=1 h
582
79.2
> 1 h
153
20.8
Patient delay (days)
Median(IQR)
25(15–36)
 
Median (95%CI)
25(21,28)
 
aneck swelling, head ache, joint pain, back pain, wound,bHCF closed, mistrust health care provider, bad previous experience at HCF, fear of HIV test and fear of TB diagnosis, cHEW = Health Extension worker(trained females those provide household package of health care to household), ddrug shop(13), holy water(14), traditional healer(4)
Provider delay was at a median (IQR) of 22 (9–48) days. Among the included patients, 244(33.2%) and 112(15.2%) cases were diagnosed at the first visited HCF and during their first visit to HCF, respectively. Moreover, 623 (84.8%) cases were diagnosed after an average (SD) of 3.6 visits to an average (±SD) of 2.2 (1.2) HCFs (Table 3). Following the diagnosis of TB, 613(83.4%) of the cases were put on anti-TB treatment immediately and the rest after a median 2(range:1–7) days. The median provider delay is significantly correlated with patient delay (r = 0.2, P < 0.001) and different with type of TB and type of first visited HCF at P < 0.05 (Additional file 1: Table S1). Taken together, the median total delay was 55(IQR: 32–100) days to initiate anti-TB treatment. More than half (54.6%) of the total delay was attributed to provider and the rest to patient.
Table 3
Clinical characteristics and Pathways to initiate anti-TB treatment among cases on treatment Southwest Ethiopia, January to December 2015
Variable
Frequency (%)
Percent
Place TB diagnosis made
Hospital
448
61.0
Health center
188
25.6
Private clinic
99
13.5
Type of TB
Smear positive Pulmonary
373
50.3
Smear negative Pulmonary
213
29.0
Extra pulmonary
149
20.3
Mode of diagnosis
Bacteriological
373
50.7
Clinical
362
49.3
Weight at treatment initiation
Mean(SD)Kg
48.8
 
HIV status
Positive
68
9.3
Negative
667
90.7
Receiving ARTa (n = 68)
27
39.7
Receiving CPTb (n = 68)
32
47.1
Number of HCF visited c
Median (IQR)
2(1–3)
 
Number of visits made d
Median (IQR)
3(2–4)
 
Provider delay (days)
Median (IQR)
22(8–48)
 
Median(95%CI)
22(19,25)
 
Total delay (days)
Median (IQR)
55(32–100)
 
Median (95%CI)
55(49,61)
 
aAntiretroviral therapy b Cotrimoxazole Prohylactic therapy c number of HCF visited until diagnosis of TB is made, d number of total visits made to different HCF until TB diagnosis

Factors associated with delays to anti-TB treatment

HIV co infection, having extra pulmonary TB, taking self-treatment before HCF visit, and traveling more than an hour to the first visited HCF increase the likelihood of patient delay beyond 25 days. On contrary, having good knowledge about TB decrease the odds of patient delay beyond 25 days.Those cases travelled more than an hour to reach the first visited HCF are 37% more likely to have patient delay beyondn25days. Having extra pulmonary TB and HIV co infection are 54 and 80% more likely to have patient delay beyond 25 days (Table 4).
Table 4
Factors associated with patient delay among TB patients on DOTS, southwestern Ethiopia January to December 2015
Variable
Patient delay(days)
COR (95% CI)
AOR (95%CI)
>25
n(%)
<=25
n(%)
  
Age
   
1.01(0.99,1.02)
1.01(1.001,1.03)*
Educational status
Illiterate
89(42.0)
123(58.0)
1.00
1.00
Completed primary
215(55.3)
174(44.7)
1.05(0.75,1.47)
1.23(0.85,1.78)
Secondary and above
63(47.0)
71(53.0
0.92(0.59,1.42)
1.27(0.77,2.1)
Type of TB
Pulmonary positive
175(47.9)
190(52.1)
1.00
1.00
Pulmonary negative
104(47.7)
114(52.3)
0.95(0.68,1.32)
0.93(0.65,1.33)
EPTB
91(59.9)
61(40.1)
1.51(1.03,2.21)
1.54(1.03,2.29)*
HIV status
Positive
41(60.3)
27(39.7)
1.52(0.92,2.52)
1.80(1.05,3.1)
Negative
329(50.7)
338(49.3)
1.00
1.00
First action to illness
Self treatment
60(61.2)
38(38.8)
1.84(1.19,2.85)
1.72(1.07,2.75)*
Traditional care
11(73.3)
4(26.7)
3.21(1.01,10.2)
2.98(0.91,9.72)
Holy water
18(69.2)
8(30.8)
2.2(0.96,5.03)
2.01(0.86,4.67)
Consult HCP
281
315
1.00
1.00
First visited HCF
Health post
13(81.3)
3(18.8)
1.00
1.00
Health center
130(54.6)
108(45.4)
0.26(0.07,0.95)
0.25(0.07,0.94)*
Hospital
98(44.3)
123(55.7)
0.18(0.0,0.64)
0.17(0.05,0.64)*
Private clinic
129(49.6)
131(50.4)
0.22(0.06,0.79)
0.22(0.06,0.81)*
Travel time to first HCF
<=1 h
205(46.9)
232(53.1)
1.00
1.00
>1 h
165(55.4)
133(44.6)
1.37(1.02,1.84)
1.37(1.01,1.88)*
Knowledge towards TB
Good
264(48.4)
281(51.6)
0.77(0.55,1.07)
0.67(0.46,0.98)*
Poor
106(55.8)
84(44.2)
1.00
1.00
*statistically significant at p < 0.05
First presentation to non DOTS HCF, visiting more than one HCF until diagnoses, and having patient delay beyond 25 days more likely increase provider delay beyond 22 days. (Table 5). Those cases first visited non-DOTS center and having patient delay beyond 25 days are 42 and 81% more likely to have provider delay beyond 22 days (Table 5). Moreover, having extra pulmonary TB, first visitation to non DOTS HCF, consulting informal care before visiting formal care more likely to increase odds of total delay beyond 55 days (Additional file 1: Table S2).
Table 5
Factors associated with provider delay among TB patients on DOTS southwest Ethiopia, January to December 2015
Variable
Provider delay (days)
COR(95% CI)
AOR(95%CI)
> 22
n(%)
<=22
n(%)
  
Type of TB
Pulmonary positive
182(49.9)
183(50.1)
1.00
1.00
Pulmonary negative
103(47.2)
115(52.8)
0.9(0.64,1.26)
0.87(0.60,1.25)
Extra pulmonary
82(53.9)
70(46.1)
1.18(0.81,1.72)
1.08(0.72,1.62)
HIV status
Positive
39(57.4)
29(42.6)
1.38(0.84,2.30)
1.33(0.78,2.27)
Negative
328(49.2)
339(50.8)
1.00
1.00
First action to illness
Self treatment
44 (44.9)
54(55.1)
0.81(0.53,1.25)
0.75(0.47,1.19)
Traditional care
9(60.0)
6(40.0)
1.5(0.53,4.27)
1.19(0.47,3.51)
Holy water
16(61.5)
10(38.5)
1.6(0.71,3.58)
1.28(0.55,2.99)
Consult HCP
298(50.0)
298(50.0)
1.00
1.00
First visited HCF
DOTS center
203(44.2)
256(55.8)
1.00
1.00
Non DOTS
164(59.4)
112(40.6)
1.85(1.36,2.50)
1.42(1.01,2.00)*
Number of visited HCF
1
233(62.0)
143(38.0)
2.77(2.05,3.73)
2.34(1.69,3.24)*
> 1
133(37.2)
225(62.8)
1.00
1.00
Patient delay
Yes
213(57.6)
157(42.4)
1.80(1.36,2.50)
1.81(1.33,2.50)*
 
No
154(42.2)
211(57.8)
1.00
1.00
HCP=Health Care Provider, *statistically significant at p < 0.05

Discussion

Prompt detection and treatment of cases has been a priority in the prevention and control of TB that can be realized upon timely care seeking by patients and diagnosis by the health system. Our study assessed the delay and associated factors with the care seeking, diagnosis and treatment of TB in rural districts of southwestern Ethiopia. We found long patient, provider, and total delays, among TB cases on treatment. TB patients had waited for a median of 25 and 55 days respectively to initiate formal care seeking and anti-TB treatment. Both patients and provider delays contribute nearly equally to the total delay which is consistent with other studies from Ethiopia [20] and elsewhere [14]. The longer time elapsed since onset of illness to treatment initiation implies increased risk of morbidity and mortality among the cases and diseases transmission in the community [10, 3335]. All forms of the delays are attributed to patient, disease and health system related factors. This implies the delays are multifaceted that calls for intensified TB case finding through strengthening healthcare facilities and health promotion activities.
Patients had waited for a median of 25 days until seeking help at formal health care providers which is consistent with 30 days in northern part of Ethiopia [17, 31, 36], 28 days in Uganda [14] and 30 days in Angola [13]. The relatively lower delay could be due to better access to HCF where nearly 80% of the cases traveled less than an hour to reach the first HCF. However, only a third (32%) of the cases had made visits to formal health care within 15 days of recommended timeline for TB suspects to visit HCF [29].Besides, more than half (57%) of the cases did not perceive their care seeking was delayed which implies the symptoms are taken as common and less severe to urge consultation of healthcare provider.
Before visits to formal health care facility, patients had taken variety of actions those influence timing of care seeking. Consistent with other studies, patients who took prior self-treatment were more likely to delay seeking formal care compared to those first consulted health care providers [37, 38]. This could be due to use of some home remedies or over the counter antibiotics or analgesics those might lessen the manifestation of the illness for the time being [39]. Moreover, those patients first visited traditional healer and holy water are more likely to have higher total delay. This could be due to the beliefs attached to the traditional care and holy water those might inhibit timely presentation and diagnosis [24].
Patients co infected with HIV are more likely to delay care seeking compared to those non- infected. This could be due to the alteration of classical clinical manifestations and signs of TB among HIV co infected patients [40]. On the other hand, patients suspected or tested HIV positive delay to present themselves to HCF due to fear of stigma attached to the co-occurrence of TB and HIV [9, 41, 42]. As a result, the high mortality among HIV co infected TB patients is partly explained by the delays to TB treatment [13, 43]. Those extra pulmonary cases patients are more likely to delay seeking care compared to the pulmonary cases. A similar finding was also reported form a study in northwest Ethiopia [25]. This could be due to the fact that extra pulmonary cases manifest with less severe and non-specific symptoms that urge patients to perceive the illness to be non-serious [44].
Patient’s perception and knowledge towards the TB disease and control activities do have impact on the care seeking practices. The study revealed that patients with good knowledge towards the TB disease and program are less likely to delay seeking care. Similarly, other studies have reported lack of knowledge and mistrust of the TB program as a reason for delayed care seeking [23, 45, 46]. In contrast, awareness and belief about TB’s curability is associated with longer patients delay [7, 14]. These imply need for awareness creation towards the TB illness and its control program to clear the paradox between the belief and longer delay.
The first consultation at HCF was made primarily (69.9%) at lower level public health care units (health posts and health centers) and private clinics. This is consistent with a study in Mediterranean countries that reported two thirds of patients first visited private sectors [46]. Nonetheless, diagnosis of TB was made primarily at hospital (61%) despite only few had made first visit to the hospitals. As a result, majority of the cases had made more than one visit to different HCFs until diagnosis. Similarly, studies from Uganda [14] and China [47] reported significant number of patients had visited more than one HCF until diagnosis. Subsequent to the missed opportunities during the repeated visits, diagnosis of TB had been made after a median of 22 days from the first visit to HCF. This is consistent with 21 days in a study from Amhara Region in Ethiopia [17] but higher than 6 in Addis Ababa [20] and 9 days in Tigray, northern Ethiopia [19]. The discrepancies could be due to the differences in accessibility to well equipped HCFs and skilled providers usually situated in cities like Addis Ababa. The longer provider delays due to the repeated visits portray high level of missed opportunities of early diagnosis that could have increased infectious period of the cases and costs incurred by the patients and households.
Longer provider delays had been reported among patients who first visited HCFs not providing DOTS services including health posts and private clinics. This is consistent with a study from Uzbekistan [38] and India [44].The higher provider delay at lower care units and private clinic could be due to lack of supplies, guidelines and skilled providers that enhance adherence to the national TB control program. In the current study, diagnosis of TB was mainly made at hospitals that depict unnecessary drugs and treatments provision at series of HCFs incurring extra cost. Besides the cost incurred, medications at the repeated visits themselves lead to delays to diagnosis and serious outcomes including drug resistance [48].On the other hand, the lower health care units and private clinics might lack proper logistics and skilled providers to timely diagnose the cases. Hence, expansions of the DOTS package to the lower and private clinic is required to curb the prevailing long delays.
Patients delayed to seek care are also more likely to have delayed diagnosis and treatment after they initiated care seeking. In contrast a study in Georgia [49] reported those patients with increased patient delay are less likely to have prolonged diagnostic delay. The discrepancy could be due to differences in measurement of the two delays. The higher odds of provider delay among those delayed to seek care can be explained by patients use of different forms of self-treatment and homemade remedies those might alter the manifestations of the TB illness that pose difficulties in timely diagnosis [39, 49]. Those patients delayed to seek care might have been ill for such long duration at which time productivity is compromised. Hence, the patients might be unable to cope with the costs required to have timely diagnosis even after initiating the care seeking. In addition, the long ill days are also associated with more severe disease at presentation [10] which hinders timely diagnosis [21].
Our study has few limitations. First, the study was carried out on those cases ultimately sought care and on treatment at the time of the study. Thus, measurement of delays relied on patient self-report that is liable to recall bias. We minimized this bias through interviewing patients soon after diagnosis and helping them to recall using local events. Second, the assessment of patients’ knowledge towards the TB diseases and its control program might be influenced by the information provided during treatment initiation. Therefore, this could have brought egg and chicken dilemma as the knowledge or care seeking preceded one to other. Third, we studied only new and adult cases so that the findings cannot be generalized to all forms of TB cases among all age groups. Fourth, we were not able to interview patients died during the intensive phase of treatment those could underestimated the true total delay attributed to the severe illness. Lastly our study lacked qualitative assessment of patients and health system those would have supplemented the quantitative data. On the other hand, consecutive enrollment of cases that minimized selection bias and triangulation of data sources from patient interview and chart reviews could be mentioned as strength of the study. Finally, our study is valid and generalizable to new adult cases in similar settings.

Conclusions

Tuberculosis patients in the study area had passed through too long journey to initiate anti-TB treatment. The long journey is attributed to patient and provider delays those are positively correlated and contributed nearly equally to the total delay. The long delays at different levels of healthcare facilities portray high level of missed opportunities of early diagnosis of TB. The patient, provider, and total delays are attributed to the patient, disease and health system related attributes reflecting need for multifaceted intervention at all levels. Therefore, improving community awareness, involving informal providers, health extension workers and TB treatment supporters can reduce the patient delay. Similarly, cough screening and improving diagnostic efficiencies of healthcare facilities should be in place to reduce the provider delays.

Acknowledgements

We are grateful to the staffs of study health districts and facilities for their all rounded supports during the data collection.

Funding

Financial and material support was obtained from Addis Ababa and Mizan Tepi Universities based in Ethiopia. The funders did not have any role in design, collection, analysis, and interpretation of data and manuscript preparation.

Availability of data and materials

The data generated and analyzed for this paper will be available from corresponding author upon reasonable request.
The study was ethically approved by Institutional Review Board (IRB) of the College of Health Sciences at Addis Ababa University (protocol number: 045/14/sph). Written informed consent was sought from each study participant before the interview. Patient clinical profile from records and unit register was retrieved upon permission from respective health care facilities.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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Open AccessThis 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.
Literatur
1.
Zurück zum Zitat World Health Organization: TB Aglobal emergency. In. Edited by Klaudt K. USA: WHO; 1994. World Health Organization: TB Aglobal emergency. In. Edited by Klaudt K. USA: WHO; 1994.
2.
Zurück zum Zitat World Health Organization. Global tuberculosis report in. Geneva: World Health Organization; 2018. World Health Organization. Global tuberculosis report in. Geneva: World Health Organization; 2018.
3.
Zurück zum Zitat Federal Minstry of Health of Ethiopia: Tuberculosis, leprosy and TB/HIV prevention and control Programme manual. In., 4th edn. Addis Ababa: Ministry of Health of Ethiopia 2008. Federal Minstry of Health of Ethiopia: Tuberculosis, leprosy and TB/HIV prevention and control Programme manual. In., 4th edn. Addis Ababa: Ministry of Health of Ethiopia 2008.
4.
Zurück zum Zitat Federal Minstry of health of Ethiopia: First Ethiopian National Population Based Tuberculosis Prevalence Survey in. Addis Ababa: Federal Ministry of Health Ethiopia; 2011. Federal Minstry of health of Ethiopia: First Ethiopian National Population Based Tuberculosis Prevalence Survey in. Addis Ababa: Federal Ministry of Health Ethiopia; 2011.
5.
Zurück zum Zitat World Health Organization: The global plan to stop TB 2011–2015. In.: World Health Organization; 2010. World Health Organization: The global plan to stop TB 2011–2015. In.: World Health Organization; 2010.
6.
Zurück zum Zitat Kasper B. Fauce HLJ: Harrison’s principles of internal medicine, 16 edn. USA: McGraw-hill companies medical publishing division; 2005. Kasper B. Fauce HLJ: Harrison’s principles of internal medicine, 16 edn. USA: McGraw-hill companies medical publishing division; 2005.
7.
Zurück zum Zitat Carolyn FM, Bayer MA, Robert GH, Dami O, Colleen A, Lilia C, Carlos V, Carlton EA. Factors associated with delayed tuberculosis test-seeking behavior in the Peruvian Amazon. Am J Trop Med Hyg. 2009;81(6):1097–102.CrossRef Carolyn FM, Bayer MA, Robert GH, Dami O, Colleen A, Lilia C, Carlos V, Carlton EA. Factors associated with delayed tuberculosis test-seeking behavior in the Peruvian Amazon. Am J Trop Med Hyg. 2009;81(6):1097–102.CrossRef
8.
Zurück zum Zitat Luigi LS, Gianluca Q, Andrea A, Joseph N, Ross G, Da Conceiçao PM, Putoto G, Fabio M. Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola. BMC Infect Dis. 2013;13(168). Luigi LS, Gianluca Q, Andrea A, Joseph N, Ross G, Da Conceiçao PM, Putoto G, Fabio M. Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola. BMC Infect Dis. 2013;13(168).
9.
Zurück zum Zitat Finnie RK, Khoza LB, van den Borne B, Mabunda T, Abotchie P, Mullen PD. Factors associated with patient and health care system delay in diagnosis and treatment for TB in sub-Saharan African countries with high burdens of TB and HIV. Tropical medicine & international health : TM & IH. 2011;16(4):394–411.CrossRef Finnie RK, Khoza LB, van den Borne B, Mabunda T, Abotchie P, Mullen PD. Factors associated with patient and health care system delay in diagnosis and treatment for TB in sub-Saharan African countries with high burdens of TB and HIV. Tropical medicine & international health : TM & IH. 2011;16(4):394–411.CrossRef
10.
Zurück zum Zitat Virenfeldt J, Rudolf F, Camara C, Furtado A, Gomes V, Aaby P, Petersen E, Wejse C. Treatment delay affects clinical severity of tuberculosis: a longitudinal cohort study. BMJ Open. 2014;4(6):e004818.CrossRef Virenfeldt J, Rudolf F, Camara C, Furtado A, Gomes V, Aaby P, Petersen E, Wejse C. Treatment delay affects clinical severity of tuberculosis: a longitudinal cohort study. BMJ Open. 2014;4(6):e004818.CrossRef
11.
Zurück zum Zitat Jianzhao H, van den Hof S, Lin X, Yubang Q, Jinglong H, van der Werf MJ. Risk factors for non-cure among new sputum smear positive tuberculosis patients treated in tuberculosis dispensaries in Yunnan, China. BMC Health Serv Res. 2011;11:97.CrossRef Jianzhao H, van den Hof S, Lin X, Yubang Q, Jinglong H, van der Werf MJ. Risk factors for non-cure among new sputum smear positive tuberculosis patients treated in tuberculosis dispensaries in Yunnan, China. BMC Health Serv Res. 2011;11:97.CrossRef
12.
Zurück zum Zitat KNCV, WHO, JATA: The Tool to Estimate Patients’Costs In.: KNCV Tuberculosis Foundation,World Health Organization, Japan Anti-Tuberculosis Association; 2008. KNCV, WHO, JATA: The Tool to Estimate Patients’Costs In.: KNCV Tuberculosis Foundation,World Health Organization, Japan Anti-Tuberculosis Association; 2008.
13.
Zurück zum Zitat Lusignani LS, Quaglio G, Atzori A, Nsuka J, Grainger R, Da Cça PM, Putoto G, Manenti F. Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola. BMC Infect Dis. 2013;13:1.CrossRef Lusignani LS, Quaglio G, Atzori A, Nsuka J, Grainger R, Da Cça PM, Putoto G, Manenti F. Factors associated with patient and health care system delay in diagnosis for tuberculosis in the province of Luanda, Angola. BMC Infect Dis. 2013;13:1.CrossRef
14.
Zurück zum Zitat Sendagire I, Schim Van der Loeff M, K-LJ MM, Cobelens F. Long delays and missed opportunities in diagnosing smear-positive pulmonary tuberculosis in Kampala, Uganda: a cross-sectional study. PLoS One. 2010;5:12.CrossRef Sendagire I, Schim Van der Loeff M, K-LJ MM, Cobelens F. Long delays and missed opportunities in diagnosing smear-positive pulmonary tuberculosis in Kampala, Uganda: a cross-sectional study. PLoS One. 2010;5:12.CrossRef
15.
Zurück zum Zitat Chandrashekhar ST, Kishore PV, Joris M, Van den Ende J. Time delays in diagnosis of pulmonary tuberculosis: a systematic review of literature. BMC Infect Dis. 2009;9:91.CrossRef Chandrashekhar ST, Kishore PV, Joris M, Van den Ende J. Time delays in diagnosis of pulmonary tuberculosis: a systematic review of literature. BMC Infect Dis. 2009;9:91.CrossRef
16.
Zurück zum Zitat Mesfin MM, James NN, Walley DJ, Amanuel G, Madeley JR. Delayed consultation among pulmonary tuberculosis patients: a cross sectional study of 10 DOTS districts of Ethiopia. BMC Public Health. 2009;9:53.CrossRef Mesfin MM, James NN, Walley DJ, Amanuel G, Madeley JR. Delayed consultation among pulmonary tuberculosis patients: a cross sectional study of 10 DOTS districts of Ethiopia. BMC Public Health. 2009;9:53.CrossRef
17.
Zurück zum Zitat Solomon Y, Gunnar B, Getu A. Diagnostic and treatment delay among pulmonary tuberculosis patients in Ethiopia: a cross sectional study. BMC Infect Dis. 2005;5:112.CrossRef Solomon Y, Gunnar B, Getu A. Diagnostic and treatment delay among pulmonary tuberculosis patients in Ethiopia: a cross sectional study. BMC Infect Dis. 2005;5:112.CrossRef
18.
Zurück zum Zitat Lorent N, Mugwaneza P, Mugabekazi J, Gasana M, Van Bastelaere S, Clerinx J, Van den Ende J. Risk factors for delay in the diagnosis and treatment of tuberculosis at a referral hospital in Rwanda. Int J Tuberc Lung Dis. 2008;12(4):392–6.PubMed Lorent N, Mugwaneza P, Mugabekazi J, Gasana M, Van Bastelaere S, Clerinx J, Van den Ende J. Risk factors for delay in the diagnosis and treatment of tuberculosis at a referral hospital in Rwanda. Int J Tuberc Lung Dis. 2008;12(4):392–6.PubMed
19.
Zurück zum Zitat Mesfin MM, Tasew WT, Tareke GI, Kifle TY, Karen HW, Richard JM. Delays and care seeking behavior among tuberculosis patients in Tigray of northern Ethiopia. EthiopJHealth Dev. 2005;19:7–12. Mesfin MM, Tasew WT, Tareke GI, Kifle TY, Karen HW, Richard JM. Delays and care seeking behavior among tuberculosis patients in Tigray of northern Ethiopia. EthiopJHealth Dev. 2005;19:7–12.
20.
Zurück zum Zitat Demissie M, Lindtjorn B, Berhane Y. Patient and health service delay in the diagnosis of pulmonary tuberculosis in Ethiopia. BMC Public Health. 2002;2:23.CrossRef Demissie M, Lindtjorn B, Berhane Y. Patient and health service delay in the diagnosis of pulmonary tuberculosis in Ethiopia. BMC Public Health. 2002;2:23.CrossRef
21.
Zurück zum Zitat Hussen A, Biadgilign S, Tessema F, Mohammed S, Deribe K, Deribew A. Treatment delay among pulmonary tuberculosis patients in pastoralist communities in bale zone, Southeast Ethiopia. BMC Res Notes. 2012;5:320.CrossRef Hussen A, Biadgilign S, Tessema F, Mohammed S, Deribe K, Deribew A. Treatment delay among pulmonary tuberculosis patients in pastoralist communities in bale zone, Southeast Ethiopia. BMC Res Notes. 2012;5:320.CrossRef
22.
Zurück zum Zitat Takele T, Meaza D, Yemane B, Yigzaw K, Markos A. Long distance travelling and financial burdens discourage tuberculosis DOTs treatment initiation and compliance in Ethiopia: a qualitative study. BMC Public Health. 2013;13:424.CrossRef Takele T, Meaza D, Yemane B, Yigzaw K, Markos A. Long distance travelling and financial burdens discourage tuberculosis DOTs treatment initiation and compliance in Ethiopia: a qualitative study. BMC Public Health. 2013;13:424.CrossRef
23.
Zurück zum Zitat Storla G, Dag Y, Solomon A, Gunnar B. A systematic review of delay in the diagnosis and treatment of tuberculosis. BMC Public Health. 2008;8:15.CrossRef Storla G, Dag Y, Solomon A, Gunnar B. A systematic review of delay in the diagnosis and treatment of tuberculosis. BMC Public Health. 2008;8:15.CrossRef
24.
Zurück zum Zitat Li Y, Ehiri J, Tang S, Li D, Bian Y, Lin H, Marshall C, Cao J. Factors associated with patient, and diagnostic delays in Chinese TB patients: a systematic review and meta-analysis. BMC Med. 2013;11:156.CrossRef Li Y, Ehiri J, Tang S, Li D, Bian Y, Lin H, Marshall C, Cao J. Factors associated with patient, and diagnostic delays in Chinese TB patients: a systematic review and meta-analysis. BMC Med. 2013;11:156.CrossRef
25.
Zurück zum Zitat Yimer SA, Bjune GA, Holm-Hansen C. Time to first consultation, diagnosis and treatment of TB among patients attending a referral hospital in northwest, Ethiopia. BMC Infect Dis. 2014;14:19.CrossRef Yimer SA, Bjune GA, Holm-Hansen C. Time to first consultation, diagnosis and treatment of TB among patients attending a referral hospital in northwest, Ethiopia. BMC Infect Dis. 2014;14:19.CrossRef
26.
Zurück zum Zitat Salomon JA, Lloyd-Smith JO, Getz WM, Resch S, Sanchez MS, Porco TC, Borgdorff MW. Prospects for advancing tuberculosis control efforts through novel therapies. PLoS Med. 2006;3(8):e273.CrossRef Salomon JA, Lloyd-Smith JO, Getz WM, Resch S, Sanchez MS, Porco TC, Borgdorff MW. Prospects for advancing tuberculosis control efforts through novel therapies. PLoS Med. 2006;3(8):e273.CrossRef
27.
Zurück zum Zitat Tuberculosis Research Advisory committee. Roadmap for tuberculosis operational research in Ethiopia. In. Edited by (TRAC/FMOH) TRAC. Addis Ababa: FMOH; 2013. Tuberculosis Research Advisory committee. Roadmap for tuberculosis operational research in Ethiopia. In. Edited by (TRAC/FMOH) TRAC. Addis Ababa: FMOH; 2013.
28.
Zurück zum Zitat Federal Democratic Republic of Ethiopia Central Statistical Agency: Population Projection of Ethiopia for All Regions At Wereda Level from 2014–2017. In. Addis Ababa: Central Statistical Authority; 2013. Federal Democratic Republic of Ethiopia Central Statistical Agency: Population Projection of Ethiopia for All Regions At Wereda Level from 2014–2017. In. Addis Ababa: Central Statistical Authority; 2013.
29.
Zurück zum Zitat Federal Minstry of Health of Ethiopia: Guidelines for clinical and programmatic management of TB, leprosy and TB/HIV in Ethiopia in., 5th edn. Addis Ababa: Ethiopian Federal Minstry of Health; 2012. Federal Minstry of Health of Ethiopia: Guidelines for clinical and programmatic management of TB, leprosy and TB/HIV in Ethiopia in., 5th edn. Addis Ababa: Ethiopian Federal Minstry of Health; 2012.
30.
Zurück zum Zitat World Health Organization. Treatment of tuberculosis: guidelines. Geneva: World Health Organization; 2010. World Health Organization. Treatment of tuberculosis: guidelines. Geneva: World Health Organization; 2010.
31.
Zurück zum Zitat Mesfin M, Tasew T, Tareke I, Kifle Y, Karen W, Richard M. Delays and care seeking behavior among tuberculosis patients in Tigray of northern Ethiopia. Ethiopian Journal of Health Development. 2005;19:7-12. Mesfin M, Tasew T, Tareke I, Kifle Y, Karen W, Richard M. Delays and care seeking behavior among tuberculosis patients in Tigray of northern Ethiopia. Ethiopian Journal of Health Development. 2005;19:7-12.
32.
Zurück zum Zitat Soliman S.Sahar NM, Nassir A. H, Agboatwala M., Abdilai A.I., Maamary F., Al-Absi N., : Diagnostic and treatment delay in tuberculosis:An in-depth analysis of the health-seeking behaviour of patients and health system response in seven countries of the Eastern Mediterranean Region. In.; 2006. Soliman S.Sahar NM, Nassir A. H, Agboatwala M., Abdilai A.I., Maamary F., Al-Absi N., : Diagnostic and treatment delay in tuberculosis:An in-depth analysis of the health-seeking behaviour of patients and health system response in seven countries of the Eastern Mediterranean Region. In.; 2006.
33.
Zurück zum Zitat Tsai T-C, Hung MS, Chen IC, Chew G, Lee W-H. Delayed diagnosis of active pulmonary tuberculosis in emergency department. Am J Emerg Med. 2008;26(8):888–92.CrossRef Tsai T-C, Hung MS, Chen IC, Chew G, Lee W-H. Delayed diagnosis of active pulmonary tuberculosis in emergency department. Am J Emerg Med. 2008;26(8):888–92.CrossRef
34.
Zurück zum Zitat Cheng S, Chen W, Yang Y, Chu P, Liu X, Zhao M, Tan W, Xu L, Wu Q, Guan H, et al. Effect of diagnostic and treatment delay on the risk of tuberculosis transmission in Shenzhen, China: an observational cohort study, 1993-2010. PLoS One. 2013;8(6):e67516.CrossRef Cheng S, Chen W, Yang Y, Chu P, Liu X, Zhao M, Tan W, Xu L, Wu Q, Guan H, et al. Effect of diagnostic and treatment delay on the risk of tuberculosis transmission in Shenzhen, China: an observational cohort study, 1993-2010. PLoS One. 2013;8(6):e67516.CrossRef
35.
Zurück zum Zitat Lee CH, Lee MC, Lin HH, Shu CC, Wang JY, Lee LN, Chao KM. Pulmonary tuberculosis and delay in anti-tuberculous treatment are important risk factors for chronic obstructive pulmonary disease. PLoS One. 2012;7(5):e37978.CrossRef Lee CH, Lee MC, Lin HH, Shu CC, Wang JY, Lee LN, Chao KM. Pulmonary tuberculosis and delay in anti-tuberculous treatment are important risk factors for chronic obstructive pulmonary disease. PLoS One. 2012;7(5):e37978.CrossRef
36.
Zurück zum Zitat Belay M, Bjune G, Ameni G, Abebe F. Diagnostic and treatment delay among tuberculosis patients in Afar region, Ethiopia: a cross-sectional study. BMC Public Health. 2012;12:369.CrossRef Belay M, Bjune G, Ameni G, Abebe F. Diagnostic and treatment delay among tuberculosis patients in Afar region, Ethiopia: a cross-sectional study. BMC Public Health. 2012;12:369.CrossRef
37.
Zurück zum Zitat Takarinda KC, Harries AD, Nyathi B, Ngwenya M, Mutasa-Apollo T, Sandy C. Tuberculosis treatment delays and associated factors within the Zimbabwe national tuberculosis programme. BMC Public Health. 2015;15:29.CrossRef Takarinda KC, Harries AD, Nyathi B, Ngwenya M, Mutasa-Apollo T, Sandy C. Tuberculosis treatment delays and associated factors within the Zimbabwe national tuberculosis programme. BMC Public Health. 2015;15:29.CrossRef
38.
Zurück zum Zitat Belkina TV, Khojiev DS, Tillyashaykhov MN, Tigay ZN, Kudenov MU, Tebbens JD, Vlcek J. Delay in the diagnosis and treatment of pulmonary tuberculosis in Uzbekistan: a cross-sectional study. BMC Infect Dis. 2014;14:624.CrossRef Belkina TV, Khojiev DS, Tillyashaykhov MN, Tigay ZN, Kudenov MU, Tebbens JD, Vlcek J. Delay in the diagnosis and treatment of pulmonary tuberculosis in Uzbekistan: a cross-sectional study. BMC Infect Dis. 2014;14:624.CrossRef
39.
Zurück zum Zitat Chikovore J, Hart G, Kumwenda M, Chipungu GA, Corbett L. ‘For a mere cough, men must just chew Conjex, gain strength, and continue working’: the provider construction and tuberculosis care-seeking implications in Blantyre, Malawi. Glob Health Action. 2015;8:26292.CrossRef Chikovore J, Hart G, Kumwenda M, Chipungu GA, Corbett L. ‘For a mere cough, men must just chew Conjex, gain strength, and continue working’: the provider construction and tuberculosis care-seeking implications in Blantyre, Malawi. Glob Health Action. 2015;8:26292.CrossRef
40.
Zurück zum Zitat Rugina S, Dumitru IM, Resul G, Cernat RC, Petcu AE. Disseminated tuberculosis in HIV-infected patients from the regional HIV/AIDS center Constanta, Romania. Germs. 2014;4(1):16–21.CrossRef Rugina S, Dumitru IM, Resul G, Cernat RC, Petcu AE. Disseminated tuberculosis in HIV-infected patients from the regional HIV/AIDS center Constanta, Romania. Germs. 2014;4(1):16–21.CrossRef
41.
Zurück zum Zitat Daftary A, Padayatchi N. Social constraints to TB/HIV healthcare: accounts from coinfected patients in South Africa. AIDS Care. 2012;24(12):1480–6.CrossRef Daftary A, Padayatchi N. Social constraints to TB/HIV healthcare: accounts from coinfected patients in South Africa. AIDS Care. 2012;24(12):1480–6.CrossRef
42.
Zurück zum Zitat Mavhu W, Dauya E, Bandason T, Munyati S, Cowan FM, Hart G, Corbett EL, Chikovore J. Chronic cough and its association with TB-HIV co-infection: factors affecting help-seeking behaviour in Harare, Zimbabwe. Tropical medicine & international health : TM & IH. 2010;15(5):574–9. Mavhu W, Dauya E, Bandason T, Munyati S, Cowan FM, Hart G, Corbett EL, Chikovore J. Chronic cough and its association with TB-HIV co-infection: factors affecting help-seeking behaviour in Harare, Zimbabwe. Tropical medicine & international health : TM & IH. 2010;15(5):574–9.
43.
Zurück zum Zitat Mpungu KS, Karamagi C, Harriet K. Mayanja: patient and health service delay in pulmonary tuberculosis patients attending a referral hospital: a cross-sectional study. BMC Public Health. 2005;5(122). Mpungu KS, Karamagi C, Harriet K. Mayanja: patient and health service delay in pulmonary tuberculosis patients attending a referral hospital: a cross-sectional study. BMC Public Health. 2005;5(122).
44.
Zurück zum Zitat Grover M, Bhagat N, Sharma N, Dhuria M. Treatment pathways of extrapulmonary patients diagnosed at a tertiary care hospital in Delhi, India. Lung India : official organ of Indian Chest Society. 2014;31(1):16–22.CrossRef Grover M, Bhagat N, Sharma N, Dhuria M. Treatment pathways of extrapulmonary patients diagnosed at a tertiary care hospital in Delhi, India. Lung India : official organ of Indian Chest Society. 2014;31(1):16–22.CrossRef
45.
Zurück zum Zitat Long Q, Li Y, Wang Y, Yue Y, Tang C, Tang S, Squire SB, Tolhurst R. Barriers to accessing TB diagnosis for rural-to-urban migrants with chronic cough in Chongqing, China: a mixed methods study. BMC Health Serv Res. 2008;8:202.CrossRef Long Q, Li Y, Wang Y, Yue Y, Tang C, Tang S, Squire SB, Tolhurst R. Barriers to accessing TB diagnosis for rural-to-urban migrants with chronic cough in Chongqing, China: a mixed methods study. BMC Health Serv Res. 2008;8:202.CrossRef
46.
Zurück zum Zitat Amal B, Akihiro S, Samiha B, Amin AA, Ismail A, Mubina A, Maamari Fadia MN, Hashim N, Sahar S, et al. Diagnostic and treatment delay in tuberculosis in 7 countries of the eastern Mediterranean region. Infect Dis Clin Pract. 2008;16:23–35.CrossRef Amal B, Akihiro S, Samiha B, Amin AA, Ismail A, Mubina A, Maamari Fadia MN, Hashim N, Sahar S, et al. Diagnostic and treatment delay in tuberculosis in 7 countries of the eastern Mediterranean region. Infect Dis Clin Pract. 2008;16:23–35.CrossRef
47.
Zurück zum Zitat Yan F, Thomson R, Tang S, Squire SB, Wang W, Liu X, Gong Y, Zhao F, Tolhurst R. Multiple perspectives on diagnosis delay for tuberculosis from key stakeholders in poor rural China: case study in four provinces. Health policy (Amsterdam, Netherlands). 2007;82(2):186–99.CrossRef Yan F, Thomson R, Tang S, Squire SB, Wang W, Liu X, Gong Y, Zhao F, Tolhurst R. Multiple perspectives on diagnosis delay for tuberculosis from key stakeholders in poor rural China: case study in four provinces. Health policy (Amsterdam, Netherlands). 2007;82(2):186–99.CrossRef
48.
Zurück zum Zitat Chen TC, Lu PL, Lin CY, Lin WR, Chen YH: Fluoroquinolones are associated with delayed treatment and resistance in tuberculosis: a systematic review and meta-analysis. Int J Infect Dis 2011 (1878-3511 (Electronic)). Chen TC, Lu PL, Lin CY, Lin WR, Chen YH: Fluoroquinolones are associated with delayed treatment and resistance in tuberculosis: a systematic review and meta-analysis. Int J Infect Dis 2011 (1878-3511 (Electronic)).
49.
Zurück zum Zitat Rabin AS, Kuchukhidze G, Sanikidze E, Kempker RR, Blumberg HM. Prescribed and self-medication use increase delays in diagnosis of tuberculosis in the country of Georgia. Int J Tuberc Lung Dis. 2013;17(2):214–20.CrossRef Rabin AS, Kuchukhidze G, Sanikidze E, Kempker RR, Blumberg HM. Prescribed and self-medication use increase delays in diagnosis of tuberculosis in the country of Georgia. Int J Tuberc Lung Dis. 2013;17(2):214–20.CrossRef
Metadaten
Titel
Delays to anti-tuberculosis treatment intiation among cases on directly observed treatment short course in districts of southwestern Ethiopia: a cross sectional study
verfasst von
Abyot Asres
Degu Jerene
Wakgari Deressa
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2019
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-019-4089-x

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