Literature DB >> 26428086

Low case notification rates of childhood tuberculosis in southern Ethiopia.

Mesay Hailu Dangisso1,2,3, Daniel Gemechu Datiko4,5, Bernt Lindtjørn6.   

Abstract

BACKGROUND: Childhood tuberculosis (TB) is a public health concern causing considerable mortality. However, control of childhood TB receives little attention. The control efforts could be inadequate because of challenges associated with difficulties in diagnosing the disease in children. Understanding the burden of the disease among children is important to assess the ongoing transmission of the disease in a community and improving TB control efforts. This study was carried out to assess TB case notification rates (CNRs) and treatment outcomes in children aged less than 15 years over a ten-year period.
METHODS: Data were collected from unit TB registers from all health facilities providing TB treatment in the Sidama Zone in Ethiopia. We analysed the CNRs and treatment outcomes by age category, gender, and place of residence. We used logistic regression analysis to identify factors associated with treatment outcomes and to control for confounding.
RESULTS: A total of 4,656 cases of children less than 15 years of age were notified as diagnosed and treated for TB, constituting 13% of all notified TB cases in the study area. The mean CNRs per 100,000 children less than 15 years were 30 for all new cases of TB, 28 for rural cases, 67 for urban cases, 28 in boys, and 32 in girls. The proportions of treatment success were 82% for new and 77% for retreatment cases for the entire study period and increased to 93% for new cases in 2012 (X(2) trend, P < 0.001). Children less than five years old had a lower treatment success [adjusted odds ratio (AOR) 0.64 (95% CI, 0.52-0.80)] and higher deaths [AOR 2 (95% CI, 1.27-3.12)]. The proportion of children who died during treatment among children in the less than 2-year-old age group was three times higher than children in the 2 year and above age groups [AOR 3.34 (95% CI, 1.92-5.82)].
CONCLUSION: The CNRs of childhood TB were low in Sidama. Children less than 5 years old had a higher proportion of deaths. Efforts need to be made to improve the diagnosis and treatment of TB among children.

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Year:  2015        PMID: 26428086      PMCID: PMC4589978          DOI: 10.1186/s12887-015-0461-1

Source DB:  PubMed          Journal:  BMC Pediatr        ISSN: 1471-2431            Impact factor:   2.125


Background

Childhood tuberculosis (TB) is a public health concern causing considerable mortality [1-3]. In 2013, approximately 550,000 new cases of TB and 80,000 deaths occurred in children who were HIV-negative [2]. However, childhood TB has been addressed inadequately in resource constrained settings due to challenges associated with difficulties in diagnosis and treatment of the disease [3, 4]. Lack of trained human resources to deliver the services, high cost related to training and to provision of services, and limited diagnostic facilities are some of the challenges for childhood TB diagnosis and control [5]. On the other hand, low case notification rates (CNRs) of TB in children could be because of underdiagnoses, underreporting, and due to the lower priority that the health systems give for children with TB compared to adults [6, 7]. In areas with poor access to diagnostic facilities and skilled personnel, children could suffer from the disease even without being diagnosed, or they are diagnosed late. Late diagnosis can contribute to considerable childhood deaths and to the transmission of the disease. In Ethiopia, the National TB Control Program decentralized and expanded the directly observed treatment short course (DOTS) strategy. However, the existing TB control programs may have limitations in addressing childhood TB. The national TB prevalence survey of Ethiopia did not report the estimates of TB burden in children [8]. There is also limited information on age disaggregated case notification and treatment outcomes in routine surveillance system. The burden of TB in children can serve as an indicator to assess effectiveness of TB control programs, and one of the indications for the ongoing transmission of the disease in a community [9]. Therefore, generating information from surveillance data is useful for understanding the burden of the disease in a community and such information could provide essential evidence for improving tuberculosis control [6, 7]. The objective of this study is to assess case notification rates and treatment outcomes of childhood TB over a ten-year period in the Sidama Zone in southern Ethiopia.

Methods

Study setting

The study was conducted in the Sidama Zone in southern Ethiopia, which is one of the most densely populated areas in Ethiopia with a population of over 3.4 million. Ninety-two per cent of the population live in the rural areas, and agriculture is the major livelihood of the community. Administratively, the Sidama Zone is divided into 19 woredas (districts) and two towns. There are 524 rural and 39 urban kebeles (the lowest administrative unit for about 5,000 people or 1000 households on average). In 2012, 114 health facilities provided TB treatment and 81 health facilities carried out sputum-smear examination. Ninety-five percent of the districts in the study area had at least one antiretroviral treatment (ART) centre. The demographic and health survey of Ethiopia estimated the adult HIV prevalence in the southern region of Ethiopia, where the present study was conducted, to be approximately 1 % [10]. In 2011, a community based intervention was implemented aimed at improving TB case finding and treatment outcomes [11]. In 2012, there were only two health facilities with radiographic services.

TB diagnosis and treatment definition

We used the National TB control guideline of Ethiopia for diagnosis and treatment, case definition, and treatment outcomes [12]. Smear-positive pulmonary TB (PTB) is diagnosed with at least two positive initial sputum smears for Acid Fast Bacilli (AFB) by direct microscopy, or one positive smear for AFB by direct microscopy and culture positive for Mycobacterium tuberculosis or one positive smear for AFB by direct microscopy and radiographic abnormalities consistent with active TB as determined by a clinician. The laboratory keeps all positive and negative slides for external quality assurance. Quality assurance is performed regularly at the regional laboratory, and feedback is given to a reporting health facility. Previous studies reported a high specificity and good agreement of sputum-smear microscopy for AFB between peripheral and reference laboratories [11, 13]. Smear-negative pulmonary TB (PTB) is diagnosed when the patient presents with symptoms suggestive of TB, has at least three initial smear examinations negative for AFB, no response to antibiotics, repeat smear-negative and radiological abnormalities consistent with pulmonary TB, as well as a clinician’s decision. Extra pulmonary TB (EPTB) is diagnosed by one culture-positive specimen from an extra pulmonary site or histopathological evidence from a biopsy, which is based on strong clinical evidence consistent with active EPTB by a clinician’s decision. However, most health facilities diagnose the disease based on a clinician’s decision because there are inadequate laboratory facilities for sputum culture or histopathology. The body sites for EPTB are lymph nodes, intestine, bone, kidney, central nervous system, and other organs. A short-course treatment regimen is given in two phases with fixed-dose combination first-line anti-TB drugs [12]. The intensive phase treatment lasts for two months with ethambutol (E), isoniazid (H), rifampicin (R) and pyrazinamide (Z) followed by a continuation phase of six-month with ethambutol and isoniazid. Since 2011, the continuation phase has lasted for four months, and uses isoniazid and rifampicin. “Cured” is smear-positive TB patient who is sputum smear-negative at, or one ‘month’ prior to the completion of treatment and on at least one previous occasion. “Treatment completed” is a TB patient who completed treatment but for whom smear results are not available one month prior to the completion of treatment. “Treatment success” is patients who was declared “cured” or “treatment completed”

Data collection

The data were collected from August 2012 to February 2013 from all DOTS providing health facilities during 2003 to 2012. We collected unit TB registers from all health facilities in the study area and included the following variables: address of the patient, name of the health facility, age, sex, smear result, TB category, TB classification, intensive phase treatment drugs, year of treatment, date of treatment started, last date of treatment, and treatment outcomes. The treatment results included treatment completed, cured, defaulted (lost-to-follow up), died, transferred out, treatment failure, and unknown. We could not collect the data of nutritional status and HIV status of the children because the data were not recorded in the unit TB registers. Address of patients consisted of actual district and kebele of the patient at the time of diagnosis. Data entry personnel were university graduates with experience of data management. Training was given to data collectors and the data were double entered. We cross checked the data for the number of cases by year, facilities and districts as well as the correctness and consistency of information. The data were entered using Microsoft Access and exported to IBM SPSS (Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp). We supervised the data entry for completeness and consistency on regular basis. To ensure data quality we checked consistency and correctness of entered information with information in the TB registers. We did an exploratory analysis, looked for errors and corrected them from the registers. Number of cases and patient information entered by each year and health facility were checked with information in unit TB register page by page and year of treatment to ensure data completeness and accuracy.

Statistical analysis

Case notification and treatment outcomes were computed for smear positive PTB, smear negative PTB and EPTB cases. We obtained each year’s population data for the study area from Central Statistical Agency of Ethiopia (CSA) [14] and computed case notification rates using under 15 years population for different years by age category as a denominator and notified cases as a numerator. We used IBM SPSS 20 for data analysis. Multivariate logistic regression analysis was performed to determine independent risk factors associated with treatment outcomes and to control for confounding.

Ethical consideration

We obtained ethical clearance from the Regional Health Bureau of southern Ethiopia, in addition to a letter of support from the Sidama Zone Department of Health, to obtain information from all districts and health facilities. Personal identifiers of the cases were coded prior to analysis and medical records were kept in a secure place to help maintain the confidentiality of clinical information of cases.

Results

A total of 4,656 cases of children less than 15 years of age were notified as diagnosed and treated for tuberculosis from 2003 through 2012, constituting about 13 % of cases of all age groups notified in the study area. Fifty-two percent (2,434 cases) of the cases were girls and 48 % (2,220 cases) were boys. Fifteen percent (719 cases) of the cases were less than five years old and 2,433 cases (53 %) were in the 10–14-year-age group. Of the cases, 4,087 (88 %) were from rural areas, 1,956 cases (42 %) were smear-positive PTB, and 1,308 (28 %) were smear-negative PTB cases (Table 1). The proportion of smear-positive PTB in the younger age group (less than 5 years) was lower than the proportions among 5–9 and 10–14 year-age groups (Table 2).
Table 1

General characteristics of the tuberculosis cases among children 0–14 years and all age groups in the Sidama Zone, 2003–2012

CharacteristicsChildhood TB(Age 0–14 years)Total notified cases (All age groups)Proportion of childhood TB
N (%) N (%)%
Sex
 Male2,220 (48)20,193 (54.5)11
 Female2,434 (52)16,867 (45.5)14.4
Age category
 <5740 (16)--
 5–91,430 (31)--
 10–142,486 (54)--
Residence
 Urban559 (12)5,158 (14)10.8
 Rural4,087 (88)31,912 (86)12.8
TB classification
 Pulmonary smear positive1,956 (42)22,545 (61)8.7
 Pulmonary negative1,307 (28)7,980 (22)16.4
 Extra pulmonary1,379 (30)6,464 (17)21.3
 Not mentioned14 (0.3)72 (0.2)19.4
Patient category
 New4,545 (98)35,314 (95.3)12.9
 Retreatment90 (1.9)1,641 (4.4)3.4
 Transferred in16 (0.3)102 (0.3)29.4
 Not mentioned5 (0.1)13 (0)38.4
Treatment outcomes
 Completed2,586 (55.5)16,161 (44)16
 Cured1,187 (25.5)14,205(38)8.4
 Lost-to-follow up482 (10.4)3,284 (9)14.7
 Died140 (3.0)1,202 (3.2)11.6
 Transferred109 (2.3)874 (2.4)12.5
 Treatment failure9 (0.2)92 (0.2)9.8
 Unknown143 (3.1)1,252 (3.4)11.4
Year of treatment
 2003367 (7.9)2,341 (6.3)15.7
 2004387 (8.3)2,705 (7.3)14.3
 2005369 (7.9)2,774 (7.5)13.3
 2006349 (7.5)2,523 (6.8)13.8
 2007483 (10.4)3,296 (8.9)14.7
 2008527 (11.3)4,125 (11.1)12.8
 2009433 (9.3)3,499 (9.4)12.4
 2010385 (8.3)3,303 (8.9)11.7
 2011662 (14.2)5,643 (15.2)11.7
 2012694 (14.9)6,846 (18.5)10.1
Total cases4,65637,07012.6

The year of treatment was not mentioned for 15 cases for all age groups

Table 2

Characteristics childhood TB cases by TB classification in the Sidama Zone, 2003–2012

CharacteristicsSmear positive N (%)Smear negative N (%)Extra pulmonary N (%)Totala N (%)
Number of TB cases (N)1,9561, 3071,3794642
Sex
 Girls1092 (56)653 (50)681 (49)2,426 (52)
 Boys863 (44)654 (50)698 (51)2,215 (48)
Age category
 <5130 (7)362 (28)244 (18)736 (16)
 5–9494 (25)453 (35)478 (35)1,425 (31)
 10–141332 (68)492 (38)657 (47)2,481 (53)
Residence
 Urban178 (9)193 (15)198 (14)569 (12)
 Rural1778 (91)1114 (85)1181 (86)4,073 (88)
Patient category
 New1902 (98)1278 (98)1359 (99)4,539 (98)
 Repeat47 (2)266 (1.2)16 (1)89 (2)
 Transferred7 (1)1 (1)4 (0.3)12 (0.3)
 Treatment outcomes
 Completed419 (21)1038 (79)1128 (82)2,585 (56)
 Cured1184 (61)NANA1,184 (26)
 Lost-to-follow up170 (9)147 (11)159 (12)476 (10)
 Died55 (3)58 (4.4)27 (2)140 (3)
 Transferred42 (2.1)33 (2.5)33 (2.4)108 (2.3)
 Treatment failure8 (0.4)NANA8 (0.2)
 Unknown78(4)31 (2.3)32 (2.3)140 (3)
Year of treatment
 2003132 (7)134 (10)101 (7)367 (8)
 2004153 (8)101 (8)132 (10)386 (8)
 2005149 (8)83 (6)136 (10)368 (8)
 2006145 (7)93 (7)107 (8)345 (7)
 2007154 (8)148 (11)180 (13)482(10)
 2008209 (11)131 (10)181 (13)521 (11)
 2009184 (9)129 (10)119 (9)432 (9)
 2010178 (9)117 (9)89 (7)384 (8)
 2011373 (19)124 (10)165 (12)662 (14)
 2012279 (14)246 (19)169 (12)694 (15)

aFor 13 cases TB classification was not mentioned

General characteristics of the tuberculosis cases among children 0–14 years and all age groups in the Sidama Zone, 2003–2012 The year of treatment was not mentioned for 15 cases for all age groups Characteristics childhood TB cases by TB classification in the Sidama Zone, 2003–2012 aFor 13 cases TB classification was not mentioned

Case notification rates

The mean CNRs for new cases of TB of all forms were 30 per 100,000 children, 67 in urban and 28 in rural areas, and 32 in girls and 28 in boys per 100,000 children. No decline was observed in childhood TB over a ten-year study period (Fig. 1 and Table 3). The mean CNR of smear-positive PTB was about 13 per 100,000 children and increased from 11 in 2003 to 16 per 100,000 in 2012. The mean CNRs of smear-positive PTB were 14 for girls and 11 for boys per 100,000 children (Table 4).
Fig. 1

Case notification rates of TB of all forms among children in the Sidama Zone in southern Ethiopia, 2003–2012

Table 3

Characteristics of case notification rates and treatment outcomes of new cases of TB (4,545 cases) notified among children in the Sidama Zone, 2003–2012

CharacteristicsCNR*/ 105 peopleCompleted N (%)Cured N (%)Lost-to-follow up N (%)Died N (%)Transferred out N (%)Treatment failure N (%)Unknown N (%)
New cases of TB all forms302532 (56)1162 (26)464 (10)136 (3)104 (2)9 (0.2)138 (3)
Sex
 Girls32.01299 (51)666 (28)225 (10)74 (3)50 (2)4 (0.2)61 (3)
 Boys28.01233 (57)496 (30)225 (11)62 (3)54 (3)5 (0.2)75 (3)
Age category
 <515.3459 (64)47 (6.5)128 (18)44 (6)21 (3)1(0.1)19 (3)
 5–924.2835 (60)268 (19)155(11)41 (3)37 (3)4 (0.3)53 (4)
 10–1453.01238 (51)847 (35)181 (8)51 (2)46 (2)3 (0.2)66 (3)
Residence
 Urban67.0368 (66)88 (16)54 (10)16 (3)13 (2)1 (0.2)14 (3)
 Rural28.02164 (54)1074 (27)410 (10)120 (3)91 (2)8 (0.2)124 (3)
TB classification
 Smear positive PTB12.4406 (21)1161 (61)158 (8)53 (3)39 (2)8 (0.4)77 (4)
 Smear negative PTB8.41013 (79)NA147 (12)56 (4)33 (3)NA30 (2.3)
 EPTB9.01112 (82)NA157 (12)27 (2)32 (2)NA31 (2)
Year of treatment
 200329.3175 (48)86 (24)73 (20)27 (7)2 (1)1 (0.3)0
 200428.5199 (54)72 (19)54 (15)16 (4)15 (4)015 (4)
 200526.4217 (60)67 (19)28 (8)8 (2)14 (4)1 (0.3)25 (7)
 200623.7197 (58)56 (17)45 (13)11 (3)7 (2)023 (7)
 200731.9314 (66)76 (16)56 (12)17 (4)7 (2)09 (2)
 200832.7309 (61)111 (22)60 (12)9 (2)7 (1)1 (0.2)8 (2)
 200926.4234 (56)82 (20)61 (15)10 (2)15 (4)3 (1)15 (4)
 201023.0198 (53)76 (20)60 (16)10 (3)16 (4)016 (4)
 201138.7305 (47)289 (44)21 (3)16 (3)11(2)1 (0.2)9 (1)
 201238.5384 (57)247 (36)6 (1)12 (2)10 (2)2 (0.3)17 (3)
Retreatment casesNA27 (46)18 (31)6 (10)3 (5)3 (5)02 (3)

NA not applicable

CNRs = the mean case notification rates over a ten-year period except for the year of treatment category

Table 4

Characteristics of case notification rates and treatment outcomes of new smear-positive PTB cases in children in the Sidama Zone, 2003–2012

CharacteristicsCNR* per 105 Completed (%)Cured N (%)Lost-to-follow up N (%)Died N (%)Transferred out N (%)Treatment failure N (%)Unknown N (%)
New PTB+ cases12.6406 (21)1161 (61)158(8)53(3)39(2)8(0.4)77 (2)
Sex
 Girls14229 (22)665 (62)85 (8)29 (3)17 (2)3 (0.3)38 (3.6)
 Boys11177 (21)496 (59)73 (9)24 (3)22 (3)5 (0.6)38 (3.8)
Age category
 <5338(30)47(37)24 (19)10 (8)6 (5)02 (1.6)
 5–98107 (22)267 (56)48 (10)14 (3)9 (2)4 (0.8)30 (6.3)
 10–1428261 (20)847 (65)86 (7)29 (2)24 (2)4 (0.3)45 (3.5)
Residence
 Urban2154 (31)88 (51)16 (9)3 (2)4 (2)1 (0.6)7 (4)
 Rural12352 (20)1073 (62)142 (8)50 (3)35 (2)7 (0.4)70 (4)
Year of treatment
 200310.618 (14)86 (65)17 (13)10 (8)01 (0.8)0
 200411.441 (28)72 (47)19 (13)4(3)3 (2)09 (6)
 200510.544 (31)67 (47)7 (5)5 (4)4 (3)1 (0.7)16 (11)
 20069.842 (30)56 (40)14 (10)6 (4)4 (3)018 (13)
 200710.249 (32)76 (50)20 (13)3(2)2 (1)03 (2)
 200812.759 (30)111 (56)19 (10)1 (0.5)4 (2)1 (0.5)2 (1)
 200911.147 (27)82 (47)24 (14)4 (2)8 (5)2(1)9 (5)
 201010.652 (30)75 (43)29 (17)4 (2)5 (3)09 (5)
 201121.744 (12)289 (79)7 (2)6 (2)6 (2)1 (0.3)6 (1.6)
 201215.510 (3.7)247 (91)2 (1)4 (2)3 (1)2 (0.7)5 (2)

CNR* = mean case notification rate per 100,000 children except for the year of treatment category

Case notification rates of TB of all forms among children in the Sidama Zone in southern Ethiopia, 2003–2012 Characteristics of case notification rates and treatment outcomes of new cases of TB (4,545 cases) notified among children in the Sidama Zone, 2003–2012 NA not applicable CNRs = the mean case notification rates over a ten-year period except for the year of treatment category Characteristics of case notification rates and treatment outcomes of new smear-positive PTB cases in children in the Sidama Zone, 2003–2012 CNR* = mean case notification rate per 100,000 children except for the year of treatment category

Treatment outcome

The proportions of treatment success were 82 % for new and 77 % for retreatment cases, and increased to 93 % in 2012 for new cases (X2 trend, P < 0.001) (Table 3). The proportion of cases lost-to-follow up declined from 20 % in 2003 to 1 % in 2012 (X2 trend, P < 0.001). Children less than five years old had a lower treatment success [AOR 0.64 (95 % CI, 0.52–0.80)] while the treatment success was higher in the 10-14 year-age group compared to 5–9 year olds [AOR 1.60 (95 % CI, 1.30–1.86)]. A considerable improvement was observed in treatment success in 2011–2012 (Table 5).
Table 5

Various factors associated with treatment success, loss-to-follow up and mortality among new cases of TB in children under 15 years in the Sidama Zone, 2003–2012

Characteristics of casesTreatment successLost-to-follow upMortality
%Adjusted OR (95 % CI) P-value%Adjusted OR (95 % CI) P-value%Adjusted OR (95 % CI) P-value
Gender
 Girls82.61.009.51.003.11.00
 Boys79.90.84 (0.72–0.98)0.02811.01.26 (0.95–1.42)0.1362.90.90 (.64–1.28)0.577
Age
 0–4 years70.40.64 (0.52–0.80)<0.00117.81.68 (1.29–2.20)<0.0016.12.00 (1.27–3.12)0.003
 5–9 years79.21.0011.11.002.91.00
 10–14 years85.71.60 (1.30–1.86)<0.0017.40.694 (0.55–0.86)0.0022.10.72 (0.47–1.10)<0.129
 <2 years65.50.49 (0.35–0.69)<0.00118.11.58 (1.04–2.41)0.03210.53.34 (1.92–5.82)<0.001
 ≥2 years81.91.009.92.71.00
Residence
 Urban82.31.009.71.002.91.00
 Rural81.10.83 (0.65–1.06)0.13110.31.20 (0.88–1.62)0.2653.01.08 (.65–1.92)0.680
TB classification
 Smear positive PTB82.41.008.31.002.81.00
 Smear Negative PTB79.21.07 (0.88–1.31)0.47611.51.06 (0.82–1.40)0.6474.41.15 (0.76–1.75)0.499
 Extra pulmonary TB81.81.18 (0.97–1.42)0.09811.61.18 (0.93–1.51)0.1812.00.58 (0.36–0.95)0.029
Year of treatment
 200371.71.0020.11.007.41.00
 200473.01.05 (0.76–1.46)0.75614.60.68 (0.46–1.01)0.0574.30.60 (0.32–1.14)0.121
 200578.91.44 (1.02–2.04)0.0387.800.34 (0.21–0.54)<0.0012.20.31 (0.14–0.69)0.004
 200674.61.14 (0.81–1.71)0.44313.30.60 (0.40–0.91)0.0163.20.46 (0.22–0.94)0.033
 200781.41.68 (1.12–2.34)0.00211.70.53 (0.36–0.76)0.0013.50.50 (0.27–0.93)0.030
 200883.21.90 (1.36–2.64)<0.00111.90.55 (0.38–0.81)0.0021.80.26 (0.12–0.57)0.001
 200975.21.11 (0.81–1.54)0.51714.50.73 (0.50–1.07)0.1052.40.34 (0.16–0.71)0.004
 201072.90.98 (0.71–1.37)0.89416.00.84 (0.57–1.22)0.3542.70.37 (0.18–0.78)0.009
 201191.13.64 (2.55–5.21)<0.0013.20.15 (0.09–0.25)<0.0012.50.38 (0.20–0.72)0.003
 201293.15.16 (3.54–7.52)<0.0010.90.037(0.02–0.09)<0.0011.80.24 (0.12–0.50)<0.001
Various factors associated with treatment success, loss-to-follow up and mortality among new cases of TB in children under 15 years in the Sidama Zone, 2003–2012 The proportion of childhood TB cases who died was 3 % (140 cases), constituting 12 % of the 1,202 deaths from TB in all age groups notified during the study period. The proportion of cases who died while on treatment declined from 7 % in 2003 to 2 % in 2012 (X2 trend, P < 0.001), and was higher among under five-year age group [AOR 2.00 (95 % CI, 1.27–3.12)], and less in EPTB cases [AOR 0.58 (95 % CI, 0.36–0.95)]. The proportion of children who died in the less than 2-year-age group was three times higher than in the 2 year and above age groups [AOR 3.34 (95 % CI, 1.92–5.82)]. The proportions of cases lost-to-follow up and who died while on treatment were less in the 10–14 year olds than the younger age groups. Notable improvements in treatment success, loss-to-follow up, and mortality were observed by years of treatment, and the highest improvement in treatment outcome was observed in 2011–2012 (Table 5).

Discussion

We found low CNRs of childhood TB in Sidama. Our data show that the CNR in children was lower than other reports from developing countries [15, 16]. We analysed the CNRs based on age specific risk for developing TB, and challenges associated with its diagnosis [17, 18]. The low CNR among young children (less than 5 years old) in our finding could be explained by underreporting, difficulties in diagnosis of childhood TB due to distinct clinical features of the disease in young children [18], poor access to diagnostic facilities such as chest radiography and culture, and poor access to skilled health personnel to diagnose the disease in children. Instituting better diagnostic services such as interferon-gamma release assays, culture, and nucleic acid amplification tests could help improve diagnosis and treatment of childhood TB [19]. The higher CNRs among older children (10–14 years) in our data could be because the clinical features of the disease are often similar to adults, and there is a better yield of sputum-smear examination among older children [17, 20]. The higher CNRs in urban areas than in rural areas could be explained by better access to TB diagnostic facilities, better education and awareness of the parents and early health seeking, and this finding was in agreement with a study from Tanzania [21]. Likewise, in an earlier study, we found a higher CNR of TB among adults in urban areas [22]. The proportion of childhood TB cases in our data (13 %) was lower than the national estimate and report [2, 6]. Our finding was in agreement with a previous report from the study area (13 %) [23], and higher than the global report (6 %) [2]. Other studies also report childhood TB constitutes 10-20 % of the disease burden in endemic areas [17]. From Ethiopia, one study from an urban setting reported a lower proportion (6.6 %) [24], and another study from a rural hospital [25] reported a higher proportion (46 %) of childhood TB than our finding. The reported higher proportion could be because the study was conducted in hospital setting which could have better diagnostic setup for children and could be due to referral cases who come from high burden areas due to poor access to TB diagnosis and treatment facilities. The lower proportion of childhood TB for the former study [24] could be due to underreporting or due to the lower burden of the disease. Nevertheless, both studies did not report the CNRs of childhood TB per 100,000 children unlike our report. Thus, the differences in the proportion of childhood TB from both studies and our finding could be partly explained by differences in study settings because we conducted the study in both urban-rural settings, in all DOTS providing health facilities, and we linked TB cases to their true home address to compute the case notifications to avoid under- or over reporting [22]. In our study, we noted that more girls than boys had smear-positive TB in the 10–14-year age group. This could reflect, at least in part, that girls enter puberty earlier and therefore might develop adult type of PTB earlier than boys [19, 26]. In our data, the proportion of TB cases in children less than 5-year old was lower than in children 5–9-year old. In high burden setting with a broad-based population pyramid, the number of cases in children less than 5 and 10–14-year age groups are often higher than in the 5–9-year age group [4, 24]. The lower CNR in the younger age group in our study suggests TB in the less than 5-year age group could be underdiagnosed. The proportion of smear-positive PTB among all pulmonary TB cases was higher than other reports from Ethiopia [24] and elsewhere [21, 27]. Evidence shows that children usually have approximately 10–15 % smear-positive TB [4]. The difference in our finding is most likely because of underdiagnosing of smear-negative cases, particularly in younger children. This suggests concerted efforts to improve the diagnoses of TB in the younger age group. In our data, the proportions of children successfully treated were higher among older age groups than among younger children, as has been shown from other studies from Ethiopia [23, 24] and elsewhere [28]. Nevertheless, there is a growing concern on TB treatments in children, which are not “child-friendly” and TB drugs for children may not be in the correct dose, and the reports suggest “simple and safe treatments designed for children” [29]. The proportion of cases who died during treatment among children constituted about 12 % of the total deaths of TB in all age groups during the study period. However, the overall case fatality during treatment was 3 %, which is lower than a previous report from the study area [23]. We found that very young children (less than 2 years age) had poor treatment outcomes compared to children two and above years old, and this finding is consistent with other studies from Ethiopia, which report a higher mortality among young children [23, 24]. The possible reasons for poor treatment outcomes in younger children could be disseminated disease, poor or immature immunity, and late diagnosis of the disease. Many factors could also contribute to a higher risk of death in young children such as severe form of TB [1, 6], and co-morbidities such as malnutrition, HIV infection and pneumonia [4, 18, 24, 30]. Interventions such as contact tracing of adults with TB, which could help earlier diagnosis of the disease in the younger children is suggested to improve the treatment outcomes Additional file 1. A study from Ethiopia conducted in urban setting reported an increased risk of mortality during treatment in the younger children and in children with TB/HIV co-infection [24]. We could not include the HIV status and the nutritional status of children in the risk analysis of treatment outcomes because the HIV and nutritional status of children were not recorded in the unit TB registers. Childhood malnutrition is a common health problem in the study area [10], and many children could be undernourished and this increases the risk of death among younger children. Lastly, we found a noticeable reduction in mortality and loss-to-follow up and an increase in treatment success in 2011–2012. This could be due to community based interventions [11] and the accelerated expansion of TB diagnostic and treatment facilities in the study area [22, 31, 32], which have improved access to TB control services and early diagnosis of the disease. The regimen change of the continuation phase to rifampicin and isoniazid in 2011–2012, which have shortened the period of treatment, could also contribute to the observed decline in the proportion of lost-to-follow up cases among children. The limitations of our study are that we could not confirm the diagnosis of the cases which may affect the case notification rates. We could not ascertain the HIV status of the children in our data to consider for the risk analysis of treatment outcomes; however, the prevalence of HIV in rural areas of southern region of Ethiopia is as low as 1 % [10], and may not significantly affect our results. We could not include the nutritional status of children because of inadequate data from the unit TB registers which could affect the treatment outcome. Misclassification of the diagnosis and treatment outcome is likely; however, most of the smear negative and extra pulmonary cases are diagnosed at hospitals which have better diagnostic facilities and health personnel than the peripheral health centres.

Conclusion

We found that low CNRs of childhood TB and a higher mortality among younger children. Concerted effort should be made to improve diagnostic and treatment facilities for childhood TB as well as targeting intervention for high risk groups. Including HIV and nutritional status of the children in the risk analysis improves our understanding of predictors of mortality during treatment.
  24 in total

1.  Children and tuberculosis: protecting the next generation?

Authors:  P R Donald
Journal:  Lancet       Date:  1999-03-20       Impact factor: 79.321

Review 2.  Childhood tuberculosis: clinical research needs.

Authors:  S M Graham; R P Gie; H S Schaaf; J B S Coulter; M A Espinal; N Beyers
Journal:  Int J Tuberc Lung Dis       Date:  2004-05       Impact factor: 2.373

Review 3.  Childhood tuberculosis: epidemiology and natural history of disease.

Authors:  Ben J Marais
Journal:  Indian J Pediatr       Date:  2011-01-07       Impact factor: 1.967

4.  Childhood tuberculosis in an urban population in South Africa: burden and risk factor.

Authors:  A van Rie; N Beyers; R P Gie; M Kunneke; L Zietsman; P R Donald
Journal:  Arch Dis Child       Date:  1999-05       Impact factor: 3.791

Review 5.  The burden of childhood tuberculosis: a public health perspective.

Authors:  B J Marais; C C Obihara; R M Warren; H S Schaaf; R P Gie; P R Donald
Journal:  Int J Tuberc Lung Dis       Date:  2005-12       Impact factor: 2.373

Review 6.  Paediatric tuberculosis.

Authors:  Sandra M Newton; Andrew J Brent; Suzanne Anderson; Elizabeth Whittaker; Beate Kampmann
Journal:  Lancet Infect Dis       Date:  2008-08       Impact factor: 25.071

7.  The first population-based national tuberculosis prevalence survey in Ethiopia, 2010-2011.

Authors:  A H Kebede; Z Alebachew; F Tsegaye; E Lemma; A Abebe; M Agonafir; A J Kebede; D Demissie; F Girmachew; Z Yaregal; F Dana; M Getahun; Y Fiseha; A Meaza; N Dirse; H Timimi; C Sismanidis; M Tadolini; I Onozaki
Journal:  Int J Tuberc Lung Dis       Date:  2014-06       Impact factor: 2.373

8.  Childhood TB Surveillance: Bridging the Knowledge Gap to Inform Policy.

Authors:  Andrew J Brent
Journal:  J Trop Med       Date:  2012-02-14

9.  Trends of tuberculosis case notification and treatment outcomes in the Sidama Zone, southern Ethiopia: ten-year retrospective trend analysis in urban-rural settings.

Authors:  Mesay Hailu Dangisso; Daniel Gemechu Datiko; Bernt Lindtjørn
Journal:  PLoS One       Date:  2014-12-02       Impact factor: 3.240

10.  Innovative community-based approaches doubled tuberculosis case notification and improve treatment outcome in Southern Ethiopia.

Authors:  Mohammed A Yassin; Daniel G Datiko; Olivia Tulloch; Paulos Markos; Melkamsew Aschalew; Estifanos B Shargie; Mesay H Dangisso; Ryuichi Komatsu; Suvanand Sahu; Lucie Blok; Luis E Cuevas; Sally Theobald
Journal:  PLoS One       Date:  2013-05-27       Impact factor: 3.240

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  19 in total

1.  Childhood tuberculosis in Mauritania, 2010-2015: diagnosis and outcomes in Nouakchott and the rest of the country.

Authors:  B Aw; S Ade; S G Hinderaker; N Dlamini; K C Takarinda; K Chiaa; A Feil; A Traoré; T Reid
Journal:  Public Health Action       Date:  2017-09-21

2.  Prevalence, Associated Risk Factors and Rifampicin Resistance Pattern of Pulmonary Tuberculosis Among Children at Debre Markos Referral Hospital, Northwest, Ethiopia.

Authors:  Mulusew Liyew Ayalew; Wubet Birhan Yigzaw; Abiye Tigabu; Baye Gelaw Tarekegn
Journal:  Infect Drug Resist       Date:  2020-10-29       Impact factor: 4.003

Review 3.  Mortality in children diagnosed with tuberculosis: a systematic review and meta-analysis.

Authors:  Helen E Jenkins; Courtney M Yuen; Carly A Rodriguez; Ruvandhi R Nathavitharana; Megan M McLaughlin; Peter Donald; Ben J Marais; Mercedes C Becerra
Journal:  Lancet Infect Dis       Date:  2016-12-08       Impact factor: 25.071

4.  Childhood Tuberculosis in a Sub-Saharan Tertiary Facility: Epidemiology and Factors Associated with Treatment Outcome.

Authors:  Loukia Aketi; Zacharie Kashongwe; Christian Kinsiona; Serge Bisuta Fueza; Jack Kokolomami; Grace Bolie; Paul Lumbala; Joseph Shiku Diayisu
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

5.  Gaps in the Child Tuberculosis Care Cascade in 32 Rural Communities in Uganda and Kenya.

Authors:  Florence Mwangwa; Gabriel Chamie; Dalsone Kwarisiima; James Ayieko; Asiphas Owaraganise; Theodore D Ruel; Albert Plenty; Khai Hoan Tram; Tamara D Clark; Craig R Cohen; Elizabeth A Bukusi; Maya Petersen; Moses R Kamya; Edwin D Charlebois; Diane V Havlir; Carina Marquez
Journal:  J Clin Tuberc Other Mycobact Dis       Date:  2017-12

6.  Trends in Tuberculosis Case Notification and Treatment Success, Haiti, 2010-2015.

Authors:  Macarthur Charles; Milo Richard; Patrice Joseph; Margarette R Bury; Georges Perrin; Frantz Jean Louis; David L Fitter; Barbara J Marston; Varough Deyde; Jacques Boncy; Willy Morose; Jean W Pape; David W Lowrance
Journal:  Am J Trop Med Hyg       Date:  2017-10       Impact factor: 2.345

7.  Deaths during tuberculosis treatment among paediatric patients in a large tertiary hospital in Nigeria.

Authors:  Aishatu L Adamu; Muktar H Aliyu; Najiba Aliyu Galadanci; Baba Maiyaki Musa; Muktar A Gadanya; Auwalu U Gajida; Taiwo G Amole; Imam W Bello; Safiya Gambo; Ibrahim Abubakar
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240

8.  Treatment outcomes of childhood tuberculosis in Addis Ababa: a five-year retrospective analysis.

Authors:  Genene Tilahun; Solomon Gebre-Selassie
Journal:  BMC Public Health       Date:  2016-07-21       Impact factor: 3.295

9.  Health extension workers improve tuberculosis case finding and treatment outcome in Ethiopia: a large-scale implementation study.

Authors:  Daniel G Datiko; Mohammed A Yassin; Sally J Theobald; Lucie Blok; Sahu Suvanand; Jacob Creswell; Luis E Cuevas
Journal:  BMJ Glob Health       Date:  2017-11-02

10.  Accelerating access to quality TB care for pediatric TB cases through better diagnostic strategy in four major cities of India.

Authors:  Neeraj Raizada; Sunil D Khaparde; Virender Singh Salhotra; Raghuram Rao; Aakshi Kalra; Soumya Swaminathan; Ashwani Khanna; Kamal Kishore Chopra; M Hanif; Varinder Singh; K R Umadevi; Sreenivas Achuthan Nair; Sophie Huddart; C H Surya Prakash; Shalini Mall; Pooja Singh; B K Saha; Claudia M Denkinger; Catharina Boehme; Sanjay Sarin
Journal:  PLoS One       Date:  2018-02-28       Impact factor: 3.240

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