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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 Provinces EC FS GP KZN LP MP NC NW WC 140 Section A: Tuberculosis 10 Tuberculosis Lieve Vanleeuw, Yoliswa Mzobe and Marian Loveday Introduction The 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 rate As 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.
Transcript

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

140

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.

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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

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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

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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

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Section A: Tuberculosis

Figure 30: Drug-resistant TB client death rate by district, 2014

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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.


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