TB symptom 5 years and older screened in facility rate by province, 2016/17
Percentage [Source: DHIS]
NC
EC
MP
NW
FS
LP
GP
KZN
WC
20 40 60 80 100
38.1
NA
53.0
78.3
39.8
56.1
42.4
71.9
18.6
SA: 51.6
ProvincesECFSGPKZNLPMPNCNWWC
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Section A: Tuberculosis
10 Tuberculosis Lieve Vanleeuw, Yoliswa Mzobe and Marian Loveday
IntroductionThe End TB Strategy adopted by the World Health Assembly in 2014 aims to end the global TB epidemic with targets to reduce TB deaths by 95%, to reduce the number of new cases by 90% between 2015 and 2035, and to ensure that no family is burdened with catastrophic expenses due to TB.a A treatment success rate of 90% is one of the key operational indicators for countries to monitor their progress towards “zero deaths, disease and suffering due to TB”. In South Africa, the National Strategic Plan (NSP) for HIV, TB and STIs 2017–2022 (NSP2017) has adopted this target to be reached by 2020.b
In this chapter on TB, we refer to the targets of the End TB Strategy. However, the targets used are those of the National Department of Health’s Annual Performance Plan (APP) 2016/17–2018/19.c
10.1 TB symptom 5 years and older screened in facility rateAs transmission is driving the TB epidemic in South Africa, the early detection of disease and getting those diagnosed with TB onto treatment as quickly as possible is of the utmost importance. It is for this reason that all clients entering PHC facilities are supposed to be screened for TB.
This indicator measures the proportion of clients 5 years and older attending PHC facilities who were screened for TB. The numerator is the number of clients 5 years and older that were screened for TB and the denominator is the PHC headcount 5 years and older.
Nationally the TB symptom 5 years and older screened in facility rate in 2016/17 was 51.6%.
Figure 1: TB symptom 5 years and older screened in facility rate by province, 2016/17
a World Health Organization. End TB Strategy. WHO/HTM/TB/2015.19. Geneva, Switzerland: World Health Organization, 2015. Available from http://www.who.int/tb/End_TB_brochure.pdf?ua=1 [accessed 1 July 2017].
b SANAC. Let Our Actions Count. South Africa’s National Strategic Plan for HIV, TB and STIs 2017–2022. Pretoria: SANAC, 2017. http://sanac.org.za/2017/05/11/download-the-full-version-of-the-national-strategic-plan-for-hiv-tb-and-stis-2017-2022/ [accessed 1 July 2017].
c South African National Department of Health. Annual Performance Plan 2016/2017–2018/2019. Pretoria. National Department of Health. 2016.
TB symptom 5 years and older screened in facility rate by district, 2016/17
Percentage [Source: DHIS]
ZF Mgcawu: DC8Namakwa: DC6
Frances Baard: DC9OR Tambo: DC15
Sekhukhune: DC47G Sibande: DC30Buffalo City: BUF
A Nzo: DC44RS Mompati: DC39
Nkangala: DC31N Mandela Bay: NMA
S Baartman: DC10Waterberg: DC36
JT Gaetsewe: DC45NM Molema: DC38
Bojanala: DC37Lejweleputswa: DC18
Fezile Dabi: DC20Pixley ka Seme: DC7
T Mofutsanyana: DC19Ehlanzeni: DC32
Tshwane: TSHJohannesburg: JHB
Mangaung: MANC Hani: DC13
Vhembe: DC34Joe Gqabi: DC14
iLembe: DC29uMzinyathi: DC24Capricorn: DC35
uMkhanyakude: DC27Dr K Kaunda: DC40
Amathole: DC12uThukela: DC23
King Cetshwayo: DC28Mopani: DC33
Zululand: DC26eThekwini: ETH
Harry Gwala: DC43Amajuba: DC25
uMgungundlovu: DC22Ugu: DC21
Ekurhuleni: EKUXhariep: DC16
Sedibeng: DC42West Rand: DC48Cape Town: CPTWest Coast: DC1
Cape Winelands: DC2Overberg: DC3
Eden: DC4Central Karoo: DC5
20 40 60 80 100
18.7
NA NA
33.3
75.8
58.4
62.6
11.5
90.3
42.1
52.7
NA
45.1
84.7 83.9
77.8
67.6
83.3
80.2
69.4
78.0
64.3
NA
17.6
25.2
55.9
79.3
62.1
67.7
35.4
39.9 36.9
25.2
NA
74.3
99.0
80.8
22.3
35.5
12.7
104.5
NA
4.7
46.2
0.3
8.7
85.1
80.4
57.6 58.0
28.3
55.9
SA: 51.6
ProvincesECFSGPKZNLPMPNCNWWC
141
Section A: Tuberculosis
Figure 2: TB symptom 5 years and older screened in facility rate by district, 2016/17
142
Section A: Tuberculosis
Map 1: TB symptom 5 years and older screened in facility rate by sub-district, 2016/17
Key findings and recommendations ✦ It is concerning that the Western Cape (WC) did not report any data on this indicator and that some districts
reported such low screening rates. Most of the districts in Northern Cape (NC), Eastern Cape (EC) and North West (NW) reported a screened rate below the national average.
✦ For South Africa, reducing TB transmission is a prerequisite for addressing the TB burden of the country. In the next financial year facilities have to ensure that many more clients 5 years and older attending PHC facilities are screened as an attempt to reach the 94% APP target.
✦ In the next financial year all facilities must implement and report screening for TB more rigorously.
10.2 TB client initiated on treatment rateThis indicator measures the proportion of clients with a positive TB diagnosis who were started on treatment. The numerator is number of clients diagnosed with TB (using GeneXpert) who were started on treatment according to the Electronic TB Register. The denominator is the total number of clients who were diagnosed with TB using GeneXpert data reported by National Health Laboratory Service (NHLS). This indicator is sometimes referred to as the treatment gap or the initial loss to follow-up (ILTFU) rate.
In 2016, the national average of clients diagnosed with TB and started on treatment was 72.8%.
TB client initiated on treatment rate by province, 2016
Percentage [Source: ETR and NHLS Xpert]
NW
NC
KZN
EC
GP
WC
MP
FS
LP
20 40 60 80 100 120
66.3
85.7
88.7
62.4
87.3
96.7
47.4
80.0
56.4SA: 72.8
ProvincesECFSGPKZNLPMPNCNWWC
143
Section A: Tuberculosis
Figure 3: TB client initiated on treatment rate by province, 2016
Key Findings ✦ A new concern for TB programmes globally is the initial loss to follow-up rate. This refers to patients who are
diagnosed with TB, but not started on treatment. Initial loss to follow-up is an area that needs monitoring for both drug-sensitive and drug-resistant TB.
✦ The low proportion of clients diagnosed with TB who were started on treatment in four provinces is of concern: the Eastern Cape, KwaZulu-Natal (KZN), Northern Cape and the North West.
✦ Most concerning is the North West where less than half the patients diagnosed with TB were started on treatment.
✦ South Africa will not reduce the TB burden if patients diagnosed with TB are not started on treatment.
✦ Four districts had rates that exceed 100% – Xhariep (Free State (FS)), Capricorn (Limpopo (LP)), Waterberg (LP) and Tshwane (Gauteng (GP)), and this needs to be investigated.
TB client initiated on treatment rate by district, 2016
Percentage [Source: ETR and NHLS Xpert]
Dr K Kaunda: DC40Frances Baard: DC9
Pixley ka Seme: DC7uThukela: DC23
iLembe: DC29Bojanala: DC37Amajuba: DC25
OR Tambo: DC15JT Gaetsewe: DC45
King Cetshwayo: DC28Buffalo City: BUF
Harry Gwala: DC43eThekwini: ETH
Amathole: DC12RS Mompati: DC39
A Nzo: DC44NM Molema: DC38
C Hani: DC13Ekurhuleni: EKUZululand: DC26Namakwa: DC6
uMzinyathi: DC24Overberg: DC3
uMgungundlovu: DC22Joe Gqabi: DC14
uMkhanyakude: DC27Ugu: DC21
Johannesburg: JHBEden: DC4
Sedibeng: DC42N Mandela Bay: NMA
G Sibande: DC30West Rand: DC48
Central Karoo: DC5Mopani: DC33
ZF Mgcawu: DC8S Baartman: DC10
Cape Winelands: DC2T Mofutsanyana: DC19
West Coast: DC1Sekhukhune: DC47
Lejweleputswa: DC18Mangaung: MANNkangala: DC31Cape Town: CPT
Fezile Dabi: DC20Ehlanzeni: DC32
Vhembe: DC34Tshwane: TSH
Waterberg: DC36Capricorn: DC35
Xhariep: DC16
20 40 60 80 100 120
58.1
90.0
84.7
81.7
63.0
64.7
70.8
52.4
119.3
86.1
83.7 82.4
91.2
73.4
70.3
45.3
69.8
52.0
67.0
72.8
57.8
46.4
70.1
80.4
87.5
91.6
81.5
94.5
112.1107.4
50.6
64.2
63.1
78.2
18.7
79.4
58.5
63.8
53.9
86.0
80.7 80.9
69.6
44.1
81.5
41.0
66.2
61.9
77.1
87.2
79.7
105.1
SA: 72.8
ProvincesECFSGPKZNLPMPNCNWWC
144
Section A: Tuberculosis
Figure 4: TB client initiated on treatment rate by district, 2016
TB/HIV co−infected client on ART rate (ETR.Net) by province, 2016
Percentage [Source: ETR]
WC
NW
KZN
FS
GP
NC
LP
MP
EC
20 40 60 80 100
94.4
85.7
89.7
97.1
74.6
90.4
90.6
82.9
90.3
SA: 88.3
Target: 80
ProvincesECFSGPKZNLPMPNCNWWC
2011 2012 2013 2014 2015 2016
TB/HIV client initiate on ART rate 28.0% 60.6% 72.0% 85.8% 90.8% 88.3%
Perc
enta
ge
0.0
40.0
60.050.0
80.090.0
70.0
100.0
20.010.0
30.0
145
Section A: Tuberculosis
10.3 TB/HIV co-infected client on ART rateThis indicator measures the proportion of TB patients co-infected with HIV who were on antiretroviral therapy (ART) in 2016. The numerator is the total number of TB/HIV co-infected patients on ART and the denominator is the total number of TB/HIV co-infected patients. Antiretroviral therapy for co-infected TB/HIV patients is necessary to reduce mortality due to TB and achieve the End TB Strategya and NSP targets.b
As illustrated in Figure 5 below, the TB/HIV co-infected client on ART rate has increased significantly over the last 5 years, from 28.0% in 2011 to 88.0% in 2016. It is not clear why there was a decrease from 2015 to 2016. The target for the proportion of TB/HIV co-infected patients on ART in the APP is 80%.c This target is lower than the rate reported here as different data sources were used for setting the targets and programme monitoring.
Figure 5: National TB/HIV co-infected client on ART rate, 2011–2016
Source: ETR.
Figure 6: TB/HIV co-infected client on ART rate by province, 2016
TB/HIV co−infected client on ART rate (ETR.Net) by district, 2016
Percentage [Source: ETR]
Overberg: DC3West Coast: DC1
Central Karoo: DC5Cape Winelands: DC2
Eden: DC4Namakwa: DC6eThekwini: ETHBojanala: DC37
RS Mompati: DC39Vhembe: DC34
Cape Town: CPTAmajuba: DC25Zululand: DC26
Lejweleputswa: DC18Ekurhuleni: EKUMangaung: MAN
Harry Gwala: DC43uThukela: DC23
JT Gaetsewe: DC45Tshwane: TSH
Dr K Kaunda: DC40ZF Mgcawu: DC8
Fezile Dabi: DC20Pixley ka Seme: DC7
Johannesburg: JHBNM Molema: DC38
Capricorn: DC35Waterberg: DC36
Sekhukhune: DC47S Baartman: DC10
Sedibeng: DC42G Sibande: DC30
Xhariep: DC16iLembe: DC29Mopani: DC33
Ehlanzeni: DC32Nkangala: DC31
Ugu: DC21N Mandela Bay: NMA
T Mofutsanyana: DC19Buffalo City: BUFAmathole: DC12
Frances Baard: DC9uMkhanyakude: DC27
King Cetshwayo: DC28A Nzo: DC44
uMzinyathi: DC24West Rand: DC48
C Hani: DC13OR Tambo: DC15Joe Gqabi: DC14
uMgungundlovu: DC22
20 40 60 80 100
94.8
94.0
90.3
83.8
96.8
63.0
94.8
93.0
99.1
52.9
81.183.8
85.2
51.7
96.7
93.7
88.8
98.9
95.6
98.1
93.2
97.5
96.5
97.3
98.6
99.9
97.1
94.8
80.9
91.292.2
77.4
90.9
80.4
71.0
89.0
93.1
87.8
97.8
88.9
92.9
98.4
96.2
89.0
87.487.3
73.0
90.8
60.0
71.5
90.5
89.6
SA: 88.3
Target: 80
ProvincesECFSGPKZNLPMPNCNWWC
146
Section A: Tuberculosis
Figure 7: TB/HIV co-infected client on ART rate by district, 2016
147
Section A: Tuberculosis
Map 2: TB/HIV co-infected client on ART rate by sub-district, 2016
Key findings and recommendations ✦ Nationally the proportion of TB/HIV co-infected clients on ART in 2016 was 88.3%, above the national target of 80%.
This increase is due to the change in ART policy whereby ART initiation in all TB/HIV co-infected clients irrespective of CD4 count is possible.
✦ Eight districts (15%) had an ART initiation rate below the 80% target, five of which were in the Western Cape. However, it is likely that the proportion of co-infected clients on ART in the Western Cape is much higher, as in the Western Cape this data is captured on a different database which is not reflected here.
✦ Given the risk of increased morbidity and mortality in TB/HIV co-infected clients, all co-infected clients should be started on ART as soon as possible, and all districts should aim for 90% or more of co-infected clients on ART rate in the 2017/18 financial year.
TB client treatment success rate (ETR.net) by province, 2015
Percentage [Source: ETR]
NW
NC
LP
FS
WC
MP
EC
KZN
GP
20 40 60 80
71.8
80.4
69.0
82.5
82.7
76.1
81.4
80.1
84.9
SA: 81
Target: 84
ProvincesECFSGPKZNLPMPNCNWWC
72.073.074.075.076.077.078.079.080.081.082.0
TB success all TB
Perc
enta
ge
2011 2012 2013 2014 201575.4 76.1 77.9 77.2 81.0
148
Section A: Tuberculosis
10.4 TB client treatment success rateTB treatment success rate measures the proportion of TB patients that completed treatment or were cured. The numerator for this indicator is the number of patients who completed treatment or were cured, the denominator is the sum of all TB patients in the cohort. Treatment success is used to measure the effectiveness of the TB programme.
In the APP the target TB treatment success rate is 84% and in 2015 the national treatment success rate was 81.0%.c As can be seen in Figure 8, the national treatment success rate has increased, despite a dip in 2014. To date, with only one district attaining a treatment success of 90%, a sustained effort across the country will be needed to reach the 90% NSP 2017 target.b
Figure 8: National TB treatment success rate, 2011–2015
Source: ETR.
Figure 9: TB client treatment success rate by province, 2015
TB client treatment success rate (ETR.net) by district, 2015
Percentage [Source: ETR]
Dr K Kaunda: DC40JT Gaetsewe: DC45
Bojanala: DC37Frances Baard: DC9
Capricorn: DC35RS Mompati: DC39
Xhariep: DC16ZF Mgcawu: DC8
Cape Winelands: DC2Waterberg: DC36
Sekhukhune: DC47uThukela: DC23Namakwa: DC6
S Baartman: DC10Fezile Dabi: DC20
Amajuba: DC25Eden: DC4
Central Karoo: DC5Lejweleputswa: DC18
NM Molema: DC38Vhembe: DC34
Pixley ka Seme: DC7Sedibeng: DC42
G Sibande: DC30Ehlanzeni: DC32
N Mandela Bay: NMAUgu: DC21
West Coast: DC1Amathole: DC12
Buffalo City: BUFHarry Gwala: DC43
eThekwini: ETHCape Town: CPTMangaung: MAN
Mopani: DC33A Nzo: DC44
King Cetshwayo: DC28T Mofutsanyana: DC19
Joe Gqabi: DC14Tshwane: TSHC Hani: DC13iLembe: DC29
Nkangala: DC31Zululand: DC26
Ekurhuleni: EKUWest Rand: DC48
Johannesburg: JHBuMzinyathi: DC24
uMgungundlovu: DC22uMkhanyakude: DC27
OR Tambo: DC15Overberg: DC3
20 40 60 80
68.0
90.9
60.8
81.9
71.1
83.9
78.8
73.5
88.2
82.9
84.0
81.681.6
81.9
79.7
70.3
74.475.0
80.2
84.9
80.3
64.0
76.7
79.9
80.6
72.8
78.8
83.0
77.4
81.9
79.9
86.285.3
86.4
83.6
80.8
87.1
75.0
87.0
77.6
85.1
64.7
81.0
78.2
88.5
81.8
83.3
74.4
77.9
81.2
77.2
81.2
SA: 81
Target: 84
ProvincesECFSGPKZNLPMPNCNWWC
149
Section A: Tuberculosis
Figure 10: TB client treatment success rate by district, 2015
TB success all TB
2009 2010 2011 2012 2013 2014 2015Calendar Year
Per
cent
age
60
65
70
75
80
83.4
69.8
79.2
73.7
72.1
77.8
71.9
82.3
Indicator value by SEQ (weighted average of data by district quintile)SEQ
SEQ 1 (most deprived)
SEQ 2 (deprived)
SEQ 3
SEQ 4 (well off)
SEQ 5 (least deprived)
150
Section A: Tuberculosis
Figure 11: Trends in average district values by socio-economic quintile for TB treatment success rate, 2009–2015
Key findings and recommendations ✦ The national treatment success rate continues to improve. Eleven districts have attained the national target in 2015
with Overberg (WC) achieving 90% treatment success, illustrating that it is feasible to attain the 2020 target of 90%.
✦ The treatment success rates in the North West (NW) and Northern Cape have failed to improve adequately since 2012. All the districts in these provinces had treatment success rates below the national average. Furthermore, each province had two districts whose performance has declined from 2011 to 2015. In Bojanala and Dr K Kaunda (NW) and Frances Baard and JT Gaetsewe (both NC) treatment success declined from 2011 to 2015. In Limpopo four of the five districts had treatment success rates below the national average. Provinces have to focus on the poorly performing districts in their province to improve their overall treatment outcomes.
✦ In the last seven years the 20% (socio-economic quintile (SEQ1)) of the population that is the most deprived has made the most progress in treatment outcomes compared to the other four socio-economic quintiles. This is encouraging given the new focus on the very poor as a vulnerable group.
✦ If we are to reach the NSP target of 90% the provinces which have achieved a treatment success rate of over 80% should celebrate their good work, but at the same time ensure they build on their success and that further improvements are forthcoming.
TB client lost to follow up rate (ETR.Net) by province, 2015
Percentage [Source: ETR]
WC
NC
NW
EC
MP
LP
GP
FS
KZN
5 10 15
6.2
5.6
5.9
4.8
6.1
6.2
8.0
6.3
10.5
SA: 6.4
Target: 5.4 ProvincesECFSGPKZNLPMPNCNWWC
Perc
enta
ge
5.4
5.6
5.8
6.0
6.2
6.4
6.6
6.8
TB client loss to follow-up rate2011 2012
6.7 6.6
2013 2014
6.3 6.0 6.4
2015
151
Section A: Tuberculosis
10.5 TB client loss to follow-up rateThe TB loss to follow-up rate measures the proportion of TB patients who interrupted treatment for two consecutive months or more (previously known as the defaulter rate). The numerator for this indicator is the number of TB clients lost to follow-up, the denominator is the number of TB clients who started treatment. To minimise the transmission of TB and the development of drug-resistant TB, it is important to minimise the loss to follow-up rate.
The APP target for the loss to follow-up rate for TB is 5.4%.c As can be seen in the figure below, the national loss to follow-up rate has decreased over the last nine years and remained fairly constant over the past five years.
Figure 12: National TB loss to follow-up rate, 2006–2015
Source: ETR.Net
Figure 13: TB client loss to follow-up rate by province, 2015
TB client lost to follow up rate (ETR.Net) by district, 2015
Percentage [Source: ETR]
Central Karoo: DC5Cape Winelands: DC2
Eden: DC4S Baartman: DC10
West Coast: DC1JT Gaetsewe: DC45
Cape Town: CPTZF Mgcawu: DC8
N Mandela Bay: NMAVhembe: DC34
Frances Baard: DC9Sedibeng: DC42
iLembe: DC29Dr K Kaunda: DC40
Mangaung: MANBojanala: DC37Tshwane: TSH
eThekwini: ETHWaterberg: DC36Capricorn: DC35Buffalo City: BUF
Johannesburg: JHBSekhukhune: DC47
Ehlanzeni: DC32Namakwa: DC6
Lejweleputswa: DC18G Sibande: DC30Nkangala: DC31
NM Molema: DC38Amajuba: DC25
C Hani: DC13Pixley ka Seme: DC7
Xhariep: DC16RS Mompati: DC39
uMgungundlovu: DC22Fezile Dabi: DC20
A Nzo: DC44Ekurhuleni: EKU
Harry Gwala: DC43King Cetshwayo: DC28
Joe Gqabi: DC14T Mofutsanyana: DC19
Amathole: DC12Overberg: DC3
OR Tambo: DC15Mopani: DC33
Ugu: DC21West Rand: DC48
Zululand: DC26uThukela: DC23
uMkhanyakude: DC27uMzinyathi: DC24
5 10 15
6.4
10.9
3.5
5.9
4.1
3.2
4.8
9.1
5.2
6.2
3.5
4.9
7.0
7.4
3.0
4.6
6.3
6.7
3.1
5.0
1.6
1.2
5.9
2.7
1.3
4.3
7.4
4.4
6.6
3.1
8.0
6.4 6.5
6.3
6.0 6.0
6.3
10.4
6.2
5.2
9.3
7.7
6.8
6.0
5.2
7.3
9.6
10.4
13.8
3.2
12.6
15.4
SA: 6.4
Target: 5.4
ProvincesECFSGPKZNLPMPNCNWWC
152
Section A: Tuberculosis
Figure 14: TB client loss to follow-up rate by district, 2015
Prov District_codeTREATMENT (RX) START DATE
2015
0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 22% 24% 26% 28% 30% 32% 34% 36% 38%% of cases [axis truncated]
EC A Nzo: DC44Amathole: DC12Buffalo City: BUFC Hani: DC13Joe Gqabi: DC14N Mandela Bay: NMAOR Tambo: DC15S Baartman: DC10
FS Fezile Dabi: DC20Lejweleputswa: DC18Mangaung: MANT Mofutsanyana: DC19Xhariep: DC16
GP Ekurhuleni: EKUJohannesburg: JHBSedibeng: DC42Tshwane: TSHWest Rand: DC48
KZN Amajuba: DC25eThekwini: ETHHarry Gwala: DC43iLembe: DC29King Cetshwayo: DC28Ugu: DC21uMgungundlovu: DC22uMkhanyakude: DC27uMzinyathi: DC24uThukela: DC23Zululand: DC26
LP Capricorn: DC35Mopani: DC33Sekhukhune: DC47Vhembe: DC34Waterberg: DC36
MP Ehlanzeni: DC32G Sibande: DC30Nkangala: DC31
NC Frances Baard: DC9JT Gaetsewe: DC45Namakwa: DC6Pixley ka Seme: DC7ZF Mgcawu: DC8
NW Bojanala: DC37Dr K Kaunda: DC40NM Molema: DC38RS Mompati: DC39
WC Cape Town: CPTCape Winelands: DC2Central Karoo: DC5Eden: DC4Overberg: DC3West Coast: DC1
Grand Total
81.9%81.2%81.2%83.9%83.3%80.6%88.5%77.2%10.9%
1.6%1.6%2.2%
1.9%1.8%
4.8%3.5%
6.4%5.9%
4.1%9.1%
3.2%
1.9%8.7%
7.1%6.7%
7.1%9.0%6.3%
4.3%8.0%
3.1%5.8%
3.6%
1.9%2.0%
1.5%77.4%78.8%81.9%83.0%72.8%
15.4%
11.8%10.1%
1.5%3.2%
1.6%
2.6%
4.9%6.2%
7.0%3.5%
5.2%
8.4%9.3%
8.9%
2.8%
85.3%86.4%79.9%83.6%86.2%
3.0%2.1%
2.5%2.1%
3.8%
4.6%6.3%
7.4%6.7%
3.0%
6.2%4.9%
9.5%7.3%
6.8%77.6%81.6%81.6%84.0%82.9%80.8%87.1%88.2%87.0%75.0%85.1%
12.2%
10.1%14.7%
4.0%4.6%
2.8%2.1%
2.3%3.2%
5.9%6.6%
4.4%7.4%
4.3%3.1%
5.0%
1.6%2.7%
2.6%3.7%
7.5%4.1%
5.6%5.7%
5.5%5.4%
3.5%
6.3%7.2%
4.4%
2.4%7.5%
3.8%
5.1%
1.6%70.3%81.9%75.0%79.7%74.4%
14.5%10.7%
14.5%
12.0%
7.5%2.5%
2.5%2.2%
5.1%
6.4%3.1%
6.3%8.0%
6.5%8.1%1.8%
1.7%80.3%80.2%84.9%
1.5%4.5%
2.1%
6.3%6.0%
6.0%
7.5%8.7%
6.6%
4.1%
68.0%64.0%76.7%79.9%73.5%
10.4%15.2%
17.4%4.5%
2.1%
7.7%
6.2%5.2%
9.3%
7.8%7.0%
6.7%9.4%
7.1%
5.1%2.7%
9.1%64.7%
78.8%71.1%
11.8%15.7%
16.8%
12.3%
4.8%2.7%
1.4%1.6%
6.8%7.3%
6.0%5.2%
7.8%
8.7%9.7%
4.6%
81.8%74.4%78.2%77.9%90.9%81.0%
13.8%15.4%
12.6%
10.4%
2.9%2.9%
2.3%
2.7%
9.6%
3.2%
3.7%3.5%
3.7%5.5%
3.2%4.7%
1.6%4.8%
2.3%
81.0%2.6%6.4%6.6%3.1%
Treatment outcomes for all TB patients, 2015
SYSGENOUTCOME (group)Treatment SuccessTransferred OutLTFUDiedFailedNot Evaluated
153
Section A: Tuberculosis
Figure 15: Treatment outcomes for TB patients by district, 2015
Note: X-axis is truncated to show the range of treatment outcomes.
TB client LTF rate
2009 2010 2011 2012 2013 2014 2015Calendar Year
Per
cent
age
4
5
6
7
8
9
7.3
5.1
7.7
3.8
6.5
7.4
8.6
7.17.0
6.0
Indicator value by SEQ (weighted average of data by district quintile)SEQ
SEQ 1 (most deprived)
SEQ 2 (deprived)
SEQ 3
SEQ 4 (well off)
SEQ 5 (least deprived)
154
Section A: Tuberculosis
Figure 16: Trends in average district values by socio-economic quintile for TB loss to follow-up rate, 2009–2015
Key findings and recommendations ✦ Loss to follow-up was highest in SEQ5, 20% of the population that is the least deprived, and the lowest in SEQ1, 20%
of the population that is the most deprived.
✦ Although the national trend for the loss to follow-up rate is decreasing, only KwaZulu-Natal achieved the national target of 5.4% in 2015. Four districts in KwaZulu-Natal had a loss to follow-up rate less than 3%. The three Western Cape districts with loss to follow-up rates higher than 12.5% (Eden, Cape Winelands and Central Karoo) need to address their loss to follow-up rates. More flexible service hours, compassionate health care workers and improved patient education have been reported to improve adherence to TB treatment.d
10.6 TB death rateThe TB death rate measures the proportion of TB patients that died whilst on treatment. The numerator is the number of TB patients that died; the denominator is the total number of TB patients in the cohort.
As TB remains the country’s leading cause of death,e one of the goals of the 2017 NSP is to reduce the deaths associated with TB. This is in line with the End TB Strategy which aims to reduce the number of TB deaths by 35% by 2020, 75% by 2025, and 95% by 2035, compared with 2015.b
The APP target for death rate in TB patients is 5% and in 2015, 6.6% of TB patients were reported to have died during TB treatment.c
d Munro, S A, et al. (2007). Patient adherence to tuberculosis treatment: a systematic review of qualitative research. PLoS Med, 4 (7): e238.
e Statistics South Africa. Mortality and causes of death in South Africa, 2014: Findings from death notification. Pretoria. Statistics South Africa. 2015.
TB death rate (ETR.net) by province, 2015
Percentage [Source: ETR]
LP
FS
NW
NC
MP
EC
GP
KZN
WC
5 10 15
5.4
6.7
6.3
9.0
7.6
11.9
10.5
3.9
7.7
SA: 6.6
Target: 5 ProvincesECFSGPKZNLPMPNCNWWC
155
Section A: Tuberculosis
Figure 17: TB death rate by province, 2015
Map 3: TB death rate by district, 2015
TB death rate (ETR.net) by district, 2015
Percentage [Source: ETR]
Fezile Dabi: DC20Sekhukhune: DC47
Capricorn: DC35Amajuba: DC25
Waterberg: DC36T Mofutsanyana: DC19
Dr K Kaunda: DC40Mopani: DC33
uMzinyathi: DC24RS Mompati: DC39
Sedibeng: DC42Pixley ka Seme: DC7
Mangaung: MANJoe Gqabi: DC14
Xhariep: DC16NM Molema: DC38
G Sibande: DC30A Nzo: DC44
Lejweleputswa: DC18Vhembe: DC34
S Baartman: DC10Frances Baard: DC9
Bojanala: DC37Ehlanzeni: DC32
Harry Gwala: DC43Tshwane: TSH
Zululand: DC26Amathole: DC12
ZF Mgcawu: DC8C Hani: DC13
JT Gaetsewe: DC45West Rand: DC48Buffalo City: BUF
Namakwa: DC6Nkangala: DC31uThukela: DC23
N Mandela Bay: NMAEkurhuleni: EKU
Ugu: DC21King Cetshwayo: DC28uMgungundlovu: DC22
Eden: DC4uMkhanyakude: DC27
Johannesburg: JHBWest Coast: DC1OR Tambo: DC15
iLembe: DC29Central Karoo: DC5
Cape Town: CPTeThekwini: ETH
Cape Winelands: DC2Overberg: DC3
5 10 15
7.2
6.3
7.3
7.8
6.6
14.5
5.4
7.1
7.5
11.8
5.5
7.0
3.2
8.4
7.8
12.0
4.9
3.7
4.7
8.7 8.7
8.9
11.8
15.4
3.7
7.1 7.1
9.4
14.5
6.2
9.3
5.6
4.1
5.7
5.5
6.3
10.1
12.2
9.0
3.5
9.7
3.7
10.7
4.3
9.5
7.5
6.7
8.7
8.0
6.7
8.1
6.8
SA: 6.6
Target: 5
ProvincesECFSGPKZNLPMPNCNWWC
156
Section A: Tuberculosis
Figure 18: TB death rate by district, 2015
2008 Q3 2009 Q3 2010 Q3 2011 Q3 2012 Q3 2013 Q3 2014 Q3 2015 Q3Quarter of TREATMENT (RX) START DATE
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
TO
Not Evaluated
Failed
Died
LTFU
Selected treatment outcome trends
SYSGENOUTCOME (group)LTFUDiedFailedNot Evaluated
157
Section A: Tuberculosis
Figure 19: National trend for unsuccessful treatment outcomes, 2008–2015
Source: ETR.
Key findings and recommendations ✦ The death rate during TB treatment varies significantly across the provinces and districts of the country. In the
Western Cape five of the nine districts attained the national target in 2015. However, although the Western Cape was the only province to achieve the national target, we suspect that the high loss to follow-up rates in five Western Cape districts may be concealing a number of patients who have died.
✦ The death rate in Limpopo and the Free State was at least twice that of the Western Cape. Four of the nine districts reporting a death rate above 10% were in Limpopo. The districts with death rates higher than 10%, together with Fezile Dabi (FS) which reported a death rate of 15.4%, need to investigate which TB patients are dying and why and then develop targeted interventions to address these issues. This fluctuation in death rate could be due to poor TB programme performance or inadequate TB/HIV service integration.
TB Rifampicin resistance confirmed client rate by province, 2016
Percentage [Source: NHLS Xpert]
MP
KZN
EC
GP
NC
LP
FS
NW
WC
2 4 6 8 10
6.2
7.7
5.1
5.0
5.3
5.7
7.8
5.2
5.5
SA: 6.2
ProvincesECFSGPKZNLPMPNCNWWC
158
Section A: Tuberculosis
10.7 TB rifampicin resistance confirmed client rate This indicator measures the proportion of TB suspects detected to have rifampicin resistance. The numerator is the number of TB tests (detected using GeneXpert) that showed rifampicin resistance. The denominator is the total number of TB tests that indicated the presence of Mycobacterium Tuberculosis.
Globally in 2014, there were an estimated 3.3% of new cases and 20% of previously treated cases with drug-resistant TB (DR-TB).f In South Africa, it is estimated that 3.5% of new cases and 7.1% of previously treated TB cases have DR-TB.f The confirmed rifampicin resistant client rate has been relatively stable in the last four years. In 2016, the national average was 6.2% (Figure 20).
Figure 20: TB rifampicin resistance confirmed client rate by province, 2016
f World Health Organization. Global tuberculosis report 2016. WHO/HTM/TB/2016.22. Geneva, Switzerland: World Health Organization, 2016 (http://www.who.int/tb/publications/global_report/en/).
TB Rifampicin resistance confirmed client rate by district, 2016
Percentage [Source: NHLS Xpert]
King Cetshwayo: DC28uMkhanyakude: DC27
Zululand: DC26Ehlanzeni: DC32
G Sibande: DC30iLembe: DC29
Amajuba: DC25Buffalo City: BUFuThukela: DC23
uMzinyathi: DC24N Mandela Bay: NMA
eThekwini: ETHHarry Gwala: DC43
ZF Mgcawu: DC8uMgungundlovu: DC22
Vhembe: DC34Tshwane: TSH
Nkangala: DC31Amathole: DC12
Fezile Dabi: DC20Dr K Kaunda: DC40
Capricorn: DC35Ekurhuleni: EKU
Ugu: DC21S Baartman: DC10
Cape Town: CPTPixley ka Seme: DC7
Bojanala: DC37T Mofutsanyana: DC19
C Hani: DC13West Rand: DC48OR Tambo: DC15
Johannesburg: JHBFrances Baard: DC9
Mopani: DC33West Coast: DC1Sedibeng: DC42
Joe Gqabi: DC14A Nzo: DC44
RS Mompati: DC39Lejweleputswa: DC18
Mangaung: MANOverberg: DC3Xhariep: DC16
JT Gaetsewe: DC45Sekhukhune: DC47
Waterberg: DC36Central Karoo: DC5
Namakwa: DC6Cape Winelands: DC2
Eden: DC4NM Molema: DC38
2 4 6 8 10
5.0
8.0
6.2
5.7
7.6
5.8
3.8
6.0
4.1
5.6
5.7
5.4
6.4
6.1
4.9
3.7
8.4
6.0
7.1
6.1
5.3
8.2
4.4
6.8
8.2
5.0
4.6
4.8 4.8
5.1
4.1
7.2
3.6
6.3
5.5
4.7
5.7
5.0
6.7
5.6
5.9
6.5
10.5
7.3 7.5
10.6
6.5
4.2
5.0
5.6
4.7
10.3
SA: 6.2
ProvincesECFSGPKZNLPMPNCNWWC
159
Section A: Tuberculosis
Figure 21: TB rifampicin resistance confirmed client rate by district, 2016
`
2007 2008 2009 2010 2011 2012 2014 2014 2015 2016Proportion of rifampicin resistant patients started on treatment
45 49 46 72 56 42 41 62 64 68
0
10
20
30
40
50
60
70
80
Perc
enta
ge
160
Section A: Tuberculosis
Key findings and recommendations ✦ In 2016, Mpumalanga (MP) and KwaZulu-Natal had the highest proportion of clients suspected to have TB detected
with rifampicin resistance (RR). The Western Cape had the lowest.
✦ Three districts in KwaZulu-Natal, King Cetshwayo, uMkhanyakude and Zululand had RR-TB rates above 10%. In Mpumalanga there were two districts (Ehlanzeni and Gert Sibande) with rates higher than 8%. These two provinces need to investigate reasons for this and implement strategies to reduce transmission by reducing the time from diagnosis to treatment initiation and improving adherence.
✦ Two recent South African studies show that transmission rather than acquired resistance is driving the DR-TB epidemic in South Africa. To address the burden of DR-TB in South Africa considerable effort needs to be made to screen all patients at PHC facilities for TB, diagnose active disease and start appropriate treatment as quickly as possible.g,h
10.8 TB rifampicin resistant confirmed treatment start rateThis indicator measures the proportion of diagnosed rifampicin resistant TB patients that have started treatment. The numerator for this indicator is the number of TB rifampicin resistant confirmed clients that have started treatment (from the Electronic Drug-resistant Tuberculosis Register (EDRWeb), while the denominator is the total number of TB rifampicin resistant confirmed clients (NHLS GeneXpert). Historically there has been a wide gap between the number of patients that are diagnosed and those started on treatment. Until 2014, less than 50% of diagnosed rifampicin resistant patients were started on treatment (Figure 22). Closing this gap will depend on improving accessibility to DR-TB services through decentralising treatment.
Figure 22: Proportion of rifampicin resistant patients started on treatment, 2007–2016
Sources: 2007–2010: A policy framework on decentralised and deinstitutionalised management for SA.i
2011–2015: WHO Global TB reports.j
2016: Calculated from NHLS GeneXpert data and EDRWeb.
g Shah S, Auld S, Brust J, Mathema B, Ismail N, Moodley P, Mlisana K, Allana S, Campbell A, Mthiyane T, Morris N, Mpangase P, van der Meulen H, Omar S, Brown T, Narechania A, Shaskina E, Kapwata T, Kreiswirth B, Gandhi N. (2017). Transmission of Extensively Drug-Resistant Tuberculosis in South Africa. New England Journal of Medicine. 376:243–53.
h Dheda K, Limberis JD, Pietersen E, Phelan J, Esmail A, Lesosky M, Fennelly KP, teRiele J, Mastrapa B, Streicher EM. Outcomes, infectiousness, and transmission dynamics of patients with extensively drug-resistant tuberculosis and home-discharged patients with programmatically incurable tuberculosis: a prospective cohort study. The Lancet Respiratory Medicine. 2017 Apr;5(4):269-281. doi: 10.1016/S2213-2600(16)30433-7. Epub 2017 Jan 19. [Accessed 1 July 2017].
i South African Department of Health. Multi-drug resistant tuberculosis: A policy framework on decentralised and deinstitutionalised management for South Africa. Pretoria. South Africa. Department of Health. South Africa. National Department of Health South Africa. 2011.
j World Health Organization. Global Tuberculosis Report 2012–2016. Geneva. World Health Organization.
TB Rifampicin resistant clients treatment initiation rate by province, 2016
Percentage [Source: EDRWeb, NHLS Xpert]
GP
LP
EC
WC
MP
KZN
FS
NC
NW
50 100
80.6
62.2
73.8
60.4
69.1
70.3
74.4
55.6
79.2
SA: 68
Target: 80
ProvincesECFSGPKZNLPMPNCNWWC
161
Section A: Tuberculosis
Figure 23: TB rifampicin resistant clients treatment initiation rate by province, 2016
TB Rifampicin resistant clients treatment initiation rate by district, 2016
Percentage [Source: EDRWeb, NHLS Xpert]
JT Gaetsewe: DC45West Coast: DC1
Tshwane: TSHOR Tambo: DC15
Bojanala: DC37West Rand: DC48
Amathole: DC12Vhembe: DC34
Sedibeng: DC42C Hani: DC13
Sekhukhune: DC47Amajuba: DC25Overberg: DC3
Joe Gqabi: DC14Johannesburg: JHB
Ehlanzeni: DC32NM Molema: DC38
N Mandela Bay: NMAMopani: DC33
Cape Winelands: DC2Capricorn: DC35
A Nzo: DC44Harry Gwala: DC43
King Cetshwayo: DC28iLembe: DC29
Ekurhuleni: EKUZululand: DC26
S Baartman: DC10Fezile Dabi: DC20
Xhariep: DC16RS Mompati: DC39
uMgungundlovu: DC22Mangaung: MAN
G Sibande: DC30Cape Town: CPTWaterberg: DC36
Eden: DC4T Mofutsanyana: DC19
eThekwini: ETHPixley ka Seme: DC7
ZF Mgcawu: DC8Ugu: DC21
uMkhanyakude: DC27Lejweleputswa: DC18
uMzinyathi: DC24uThukela: DC23
Central Karoo: DC5Frances Baard: DC9
Nkangala: DC31Buffalo City: BUF
Namakwa: DC6Dr K Kaunda: DC40
50 100
129.3
66.9
63.0
88.7
53.4
74.2
90.5
75.5
71.4
60.8
51.7
77.1
49.4
85.0
67.7
65.1
58.2
63.8
92.9
52.2
62.4
69.5
119.4
59.7
21.8
66.5
81.2
55.6
42.4
62.3
67.6
62.7
89.6
83.5
44.8
54.3
90.6
41.7
64.3
56.8
64.0
61.7
70.1
68.7
83.8
77.4 79.8
93.1
58.1
44.5
49.8
73.6
SA: 68
Target: 80
ProvincesECFSGPKZNLPMPNCNWWC
162
Section A: Tuberculosis
Figure 24: TB rifampicin resistant clients treatment initiation rate by district, 2016
TB DR treatment success rate (EDRWeb) by province, 2014
Percentage [Source: EDRWeb (Electronic Drug−Resistant Tuberculosis Register)]
NC
WC
MP
EC
FS
GP
NW
LP
KZN
20 40 60
44.3
45.8
55.6
59.6
58.4
41.9
20.8
58.4
41.5SA: 50.5
Target: 55
ProvincesECFSGPKZNLPMPNCNWWC
163
Section A: Tuberculosis
Key findings and recommendations ✦ For this indicator, different data sources had to be used for the numerator (EDRWeb) and the denominator (NHLS
database) which together with poor data quality probably accounts for the invalid results in some districts. This is the case in Namakwa (NC) and Dr K Kaunda (NW) where the treatment initiation rates are above 100%.
✦ It is concerning that in seven districts treatment initiation rates remain below 50%. In part, this might be because treatment may have been initiated in a different district from where the diagnostic test was conducted.
✦ While the gap between the number of patients diagnosed and those started on treatment is slowly closing, one in three confirmed DR-TB patients is still not started on treatment and will continue to transmit DR-TB. All facilities need to ensure that patients diagnosed with rifampicin resistance are started on treatment as quickly as possible.
✦ Data verification and cleaning should be a priority for all districts to improve the quality of their DR-TB data.
10.9 Drug-resistant TB treatment success rate The DR-TB treatment success rate measures the proportion of DR-TB patients that completed treatment or were cured. The numerator for this indicator is the number of patients who were cured or completed treatment; the denominator is all DR-TB patients in the cohort. As all treatment for DR-TB at this time was two years, treatment outcomes for DR-TB lag by two years compared to the one year lag for drug-sensitive TB.
The APP target for DR-TB treatment success rate is 55%, and in 2014, the national treatment success rate reported was 50.5%.c The National Department of Health (NDoH) has however set a very ambitious target of 75% in the NSP.b
To reach this target, the NDoH has taken a number of bold steps to address the DR-TB burden in South Africa, including the introduction of new and repurposed drugs and a shortened DR-TB regimen. The hope is that these initiatives will make it possible to improve treatment success rates for DR-TB and reach the NSP 2020 treatment success target.
Figure 25: Drug-resistant TB treatment success rate by province, 2014
TB DR treatment success rate (EDRWeb) by district, 2014
Percentage [Source: EDRWeb (Electronic Drug−Resistant Tuberculosis Register)]
Overberg: DC3Namakwa: DC6
Eden: DC4C Hani: DC13
Mangaung: MANZF Mgcawu: DC8
Pixley ka Seme: DC7Cape Town: CPTBuffalo City: BUF
N Mandela Bay: NMAOR Tambo: DC15Joe Gqabi: DC14
Lejweleputswa: DC18West Rand: DC48Waterberg: DC36
S Baartman: DC10Ekurhuleni: EKU
G Sibande: DC30Sedibeng: DC42
Fezile Dabi: DC20Amathole: DC12
West Coast: DC1Cape Winelands: DC2
Xhariep: DC16Ehlanzeni: DC32
Central Karoo: DC5Harry Gwala: DC43
T Mofutsanyana: DC19iLembe: DC29
Dr K Kaunda: DC40eThekwini: ETH
uMgungundlovu: DC22Johannesburg: JHB
Amajuba: DC25Zululand: DC26uThukela: DC23
Ugu: DC21A Nzo: DC44
Sekhukhune: DC47King Cetshwayo: DC28
Mopani: DC33Capricorn: DC35
uMzinyathi: DC24Tshwane: TSHVhembe: DC34
RS Mompati: DC39uMkhanyakude: DC27
Nkangala: DC31JT Gaetsewe: DC45Frances Baard: DC9
Bojanala: DC37NM Molema: DC38
20 40 60
39.6
48.4
51.9
35.9
44.344.1
59.8
42.6
52.5
44.4
54.3
51.5
36.4
51.1
44.7
49.6
58.3
62.9
59.4
58.2
59.2
62.5
58.359.0
71.1
60.8
57.3
54.3
57.7
60.9
63.9
61.3
47.4
60.0
51.0
NA
52.6
NA
35.0
37.036.4
NA NA NA
64.0
57.6
39.6
52.052.3
32.2
35.0
53.6
SA: 50.5
Target: 55
ProvincesECFSGPKZNLPMPNCNWWC
164
Section A: Tuberculosis
Figure 26: Drug-resistant TB client treatment success rate by district, 2014
TB DR client loss to follow up rate (EDRWeb) by province, 2014
Percentage [Source: EDRWeb (Electronic Drug−Resistant Tuberculosis Register)]
WC
FS
NC
LP
KZN
GP
MP
EC
NW
10 20 30
12.5
23.5
15.9
17.2
17.8
13.7
20.5
10.9
30.3
SA: 17.9
Target: 16 ProvincesECFSGPKZNLPMPNCNWWC
165
Section A: Tuberculosis
Key findings and recommendations ✦ The roll-out of new and repurposed drugs must be accompanied by extensive training and the adaptation and
strengthening of the recording and reporting system to ensure better outcomes. However, ongoing training and supportive supervision will have to continue as the DR-TB programme is complex and regimens will undoubtedly be modified.
✦ Careful monitoring of the roll-out of new and repurposed drugs and the short DR-TB regimen is recommended to ensure DR-TB services are equitably distributed and equally effective across rural and urban areas.
✦ Seventeen districts reported treatment success rates below 50% in 2014. In contrast, uMkhanyakude’s (KZN) treatment success rate of 71% illustrates that effective DR-TB services can be delivered in rural, resource-limited districts.
✦ The failure of certain districts to report treatment outcomes for DR-TB patients is concerning.
10.10 Drug-resistant TB client loss to follow-up rateThe DR-TB loss to follow-up rate measures the proportion of DR-TB patients that interrupted treatment for two consecutive months or more. The numerator for this indicator is the number of DR-TB patients who interrupted treatment for two consecutive months or more and the denominator is the total number of DR-TB patients in the cohort.
The national average loss to follow-up rate for DR-TB patients in 2014 was 17.9%, which is higher than the APP target of 16%.c It is hoped that with the introduction of new drugs and the short regimen, patients will find the treatment more tolerable and loss to follow-up rates will drop.k The variation in loss to follow-up rates across the provinces may be a reflection of data quality.
Figure 27: Drug-resistant TB client loss to follow-up rate by province, 2014
k Lessem E, Cox H, Daniels C, et al. (2014). Access to new medications for the treatment of drug-resistant tuberculosis: Patient, provider and community perspectives. Int J Infect Dis, 32: 56–60.
166
Section A: Tuberculosis
Map 4: Drug-resistant TB client loss to follow-up rate by district, 2014
TB DR client loss to follow up rate (EDRWeb) by district, 2014
Percentage [Source: EDRWeb (Electronic Drug−Resistant Tuberculosis Register)]
NM Molema: DC38Bojanala: DC37Overberg: DC3
Cape Town: CPTNamakwa: DC6
Eden: DC4Lejweleputswa: DC18
Xhariep: DC16Cape Winelands: DC2
West Coast: DC1Central Karoo: DC5
ZF Mgcawu: DC8Waterberg: DC36Ekurhuleni: EKU
iLembe: DC29eThekwini: ETH
Fezile Dabi: DC20Mangaung: MAN
C Hani: DC13Frances Baard: DC9
Capricorn: DC35King Cetshwayo: DC28
uThukela: DC23Amajuba: DC25Vhembe: DC34
West Rand: DC48Joe Gqabi: DC14Sedibeng: DC42Ehlanzeni: DC32
Ugu: DC21OR Tambo: DC15
Sekhukhune: DC47T Mofutsanyana: DC19
Tshwane: TSHJT Gaetsewe: DC45Harry Gwala: DC43
Amathole: DC12Pixley ka Seme: DC7
uMgungundlovu: DC22Johannesburg: JHB
Buffalo City: BUFG Sibande: DC30
Mopani: DC33Dr K Kaunda: DC40
Zululand: DC26A Nzo: DC44
Nkangala: DC31N Mandela Bay: NMA
RS Mompati: DC39S Baartman: DC10
uMzinyathi: DC24uMkhanyakude: DC27
10 20 30
13.0
8.5
13.9
21.2
16.4
15.3
10.3
9.1
27.527.8
15.2
22.722.4
16.3
17.6
23.1
13.2
15.1
15.6
13.5
19.4
6.8
18.7
10.9
6.7
19.6
22.9
13.9
22.7
12.0
18.1
19.8
23.2
15.3
12.2
9.7
15.9
14.3
30.0
13.7
23.6
20.5
NA NA
8.8
11.4
31.7
26.026.4
32.2
28.0
25.0
SA: 17.9
Target: 16
ProvincesECFSGPKZNLPMPNCNWWC
167
Section A: Tuberculosis
Figure 28: Drug-resistant TB client loss to follow-up rate by district, 2014
TB DR client death rate (EDRWeb) by province, 2014
Percentage [Source: EDRWeb (Electronic Drug−Resistant Tuberculosis Register)]
NC
EC
MP
FS
NW
GP
KZN
WC
LP
10 20 30 40 50 60
33.1
25.3
20.2
19.0
16.4
27.1
33.1
25.3
17.8SA: 23
Target: 12 ProvincesECFSGPKZNLPMPNCNWWC
168
Section A: Tuberculosis
Key findings and recommendations ✦ The loss to follow up rates remained high, with 50% of districts failing to achieve the target of 16%. Reasons for this
poor performance need to be investigated and appropriate retention in care strategies implemented.
✦ In 2014 uMkhanyakude and uMzinyathi (both KZN) districts reported the lowest loss to follow up rates, 6.7% and 6.8% respectively. Lessons from these districts can be scaled up in other districts with similar challenges.
✦ As South Africa will be treating large numbers of patients with the new and repurposed drugs, facilities need to ensure that patients stay on treatment and do not develop drug resistance to the few new drugs now available.
✦ To improve adherence to treatment patient education about DR-TB disease and the treatment must be improved. Furthermore, community-based support services, such as the Ward Based Outreach Teams, must be mobilised to support patients with DR-TB and utilised to contact patients who do not return to the services for their monthly follow-up appointments.
10.11 Drug-resistant TB client death rate The DR-TB death rate measures the proportion of DR-TB patients that died while on treatment. The numerator is the number of DR-TB patients that died, the denominator is the total number of DR-TB patients in the cohort.
In South Africa, the average death rate for DR-TB patients in 2014 was 23%, which is higher than the APP targetc of 12%.
Figure 29: Drug-resistant TB client death rate by province, 2014
TB DR client death rate (EDRWeb) by district, 2014
Percentage [Source: EDRWeb (Electronic Drug−Resistant Tuberculosis Register)]
NM Molema: DC38JT Gaetsewe: DC45
Bojanala: DC37Pixley ka Seme: DC7
Buffalo City: BUFN Mandela Bay: NMA
Joe Gqabi: DC14Mangaung: MAN
S Baartman: DC10West Rand: DC48ZF Mgcawu: DC8
Overberg: DC3C Hani: DC13
Frances Baard: DC9G Sibande: DC30
A Nzo: DC44Harry Gwala: DC43
Amathole: DC12Ehlanzeni: DC32
Dr K Kaunda: DC40OR Tambo: DC15
Namakwa: DC6RS Mompati: DC39
Zululand: DC26Lejweleputswa: DC18
Eden: DC4uMgungundlovu: DC22
uMzinyathi: DC24Nkangala: DC31
Fezile Dabi: DC20Sedibeng: DC42Amajuba: DC25
Sekhukhune: DC47Mopani: DC33
uThukela: DC23Johannesburg: JHB
Ugu: DC21Ekurhuleni: EKU
T Mofutsanyana: DC19Cape Town: CPT
Xhariep: DC16uMkhanyakude: DC27
eThekwini: ETHiLembe: DC29
Cape Winelands: DC2Capricorn: DC35
Vhembe: DC34King Cetshwayo: DC28
Tshwane: TSHWest Coast: DC1Waterberg: DC36
Central Karoo: DC5
10 20 30 40 50 60
36.9
33.3
27.8
31.8
36.1
25.3
28.8
36.6
17.5
23.7
19.6
22.7
35.0
22.2
32.9
19.7
20.0
13.2
19.7
23.5
20.4
23.3
21.6
24.1
17.2
13.5
16.7
28.5
16.7
20.7
13.914.2
12.6
21.2
30.6
23.1
26.8
57.1
25.0
37.0
32.7
31.5
50.0
NA
24.6
25.3
17.6
13.0
15.0
32.2
23.6
7.1
SA: 23
Target: 12
ProvincesECFSGPKZNLPMPNCNWWC
169
Section A: Tuberculosis
Figure 30: Drug-resistant TB client death rate by district, 2014
170
Section A: Tuberculosis
Key findings and recommendations ✦ None of the provinces attained the target of 12% in 2014. The national average for the death rate of DR-TB patients
was 23% with six provinces reporting death rates above 20%. Across the provinces death rates varied considerably. In the Eastern Cape and Northern Cape, close to one in three DR-TB patients died whilst on treatment in 2014.
✦ Death rates varied across the districts too. Three Eastern Cape districts (Joe Gqabi, Nelson Mandela Bay and Buffalo City), two Northern Cape districts (JT Gaetsewe, and Pixley Ka Seme) and one district in North West (Bojanala) reported death rates greater than 35%. Moreover, two districts, JT Gaetsewe (NC) and Bojanala (NW) reported death rates of 57.1% and 50.0% respectively, which are exceptionally high and require further investigation.
✦ All provinces should investigate the causes of the high death rates and develop targeted interventions to address the problems identified.