section b: district health profilessection b: profile ... health... · overview of the district ......

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Section B: District Health Profiles

254

Section B: Profile Gauteng Province

10 Gauteng Province

Sedibeng District Municipality (DC42)

Overview of the district

The Sedibeng District Municipalitya is a Category C municipality situated on the southern tip of the Gauteng Province and strategically located on the border of three other provinces, namely Free State, North West and Mpumalanga. The municipality is the only area in the province that is situated on the banks of the Vaal River and Vaal Dam, covering the area formerly known as the Vaal Triangle. The municipality is a stone’s throw from Johannesburg along the scenic Vaal, Klip and Suikerbos Rivers. It is comprised of the Emfuleni, Lesedi and Midvaal Local Municipalities and includes the historic townships of Evaton, Sebokeng, Boipatong, Bophelong, Sharpeville and Ratanda, which have a rich political history and heritage. It has a variety of attractions offering a vast cultural heritage and historical experience. The Sedibeng region boasts several heritage sites related to the South African War of 1899–1902 and the two World Wars that followed. The Sharpeville Memorial Precinct stands as a reminder of the Sharpeville Massacre of 21 March 1960 when 69 people lost their lives while protesting the pass laws of the then apartheid South Africa. Sedibeng is the fourth-largest contributor to the Gauteng economy. The predominant economic sector in the district is the manufacturing of fabricated metal and chemicals. In the metal sector, the Arcelor-Mittal Steel plant, the Cape Gate Davsteel Wire and Steel plant, and the Ferromanganese plant of Samancor are the three main large baseline plants in the district, while DCDDorbyl Heavy Engineering is the biggest manufacturer of engineered products in Southern Africa.

Area: 4 173km²

Population (2016)b: 961 306

Population density (2016): 230.4 persons per km2

Estimated medical scheme coverage: 21.2%

Cities/Towns: De Deur/Walkerville, Devon, Eikenhof, Evaton, Heidelberg, Meyerton, Nigel, Sebokeng, Vaal Marina, Vaal Oewer, Vanderbijlpark, Vereeniging, Vischkuil.

Main Economic Sectors: Manufacturing (30.8%), government (17.8%), business services (17.8%), trade (13.7%).

Population distribution, local municipality boundaries and health facility locations

Source: Mid-Year Population Estimates 2016, Stats SA.

a The Local Government Handbook South Africa 2017. A complete guide to municipalities in South Africa. Seventh edition. Accessible at: www.municipalities.co.za.

b Mid-Year Population Estimates 2016, Stats SA.

AgeGrpYear

2006 2016

500 000 0 500 000

Population

500 000 0 500 000

Population

65+60-64 years55-59 years50-54 years45-49 years40-44 years35-39 years30-34 years25-29 years20-24 years15-19 years10-14 years05-09 years00-04 years

15 61812 42617 17421 83825 77028 64432 79737 97840 81538 66540 22137 52636 34941 212

21 19913 19816 94422 10225 92528 40731 80736 15940 33339 85840 63637 02635 65740 745

24 88516 59920 53823 45927 23032 55637 59639 73046 54743 28437 18039 82442 94345 788

32 99018 25721 91524 29827 13731 39536 78139 39044 88041 99136 60139 52543 00344 984

Sedibeng DM (DC42)

AgeGrp

2006 2016

8% 6% 4% 2% 0% 2% 4% 6% 8%

South Africa % of total population [Male | Female] - lines

8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%

District % of total population [Male | Female] - bars

8% 6% 4% 2% 0% 2% 4% 6% 8%



1.8%1.4%

2.0%2.5%

3.0%3.3%

3.8%4.4%

4.8%4.5%4.7%4.4%4.2%

4.8%

2.5%1.5%2.0%

2.6%3.0%3.3%3.7%4.2%4.7%4.7%4.7%

4.3%4.2%

4.8%

2.6%1.7%

2.1%2.4%

2.8%3.4%

3.9%4.1%

4.8%4.5%

3.9%4.1%

4.5%4.8%

3.4%1.9%2.3%2.5%2.8%3.3%

3.8%4.1%4.7%

4.4%3.8%4.1%4.5%4.7%

Gendermalefemale

Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaSedibeng DM (DC42)

Show history


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District population pyramid and comparison with the national pyramid


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256


Social determinants of health

Source: Stats SA (Local Government Handbook), 2014 Blue Drop Report.

AgeGroup.. 2006-2010 2011-2015<5 years

5-1415-2425-64

65+Total 34%

16%32%

30%36%

82%

17%3%

24%18%

20%7%

41%79%

34%16%

14%7%

9%2%

10%36%

29%4%

24%15%

22%22%

28%77%

18%4%

26%21%

17%5%

48%78%

39%17%18%

11%

10%3%

12%40%37%

7%

GP, Sedibeng: DC42

Rank_.. 2006-2010 2011-2015

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Other perinatal conditions (1.7%)Sepsis/other newborn infectious (2.1%)

Birth asphyxia (5.9%)Protein-energy malnutrition (4.4%)

Preterm birth complications (15.1%)

Accidental threats to breathing (1.3%)Meningitis/encephalitis (1.4%)

Diarrhoeal diseases (25.1%)Lower respiratory infections (25.0%)

HIV/AIDS (6.1%)

Drowning (5.9%)

Fires, hot substances (4.5%)Accidental threats to breathing (4.7%)

Mechanical forces (3.2%)

Meningitis/encephalitis (5.0%)

Road injuries (9.2%)

Diarrhoeal diseases (10.5%)

Lower respiratory infections (18.0%)

HIV/AIDS (10.3%)

Tuberculosis (10.8%)

Endocrine nutritional,blood, immune (1.8%)

Accidental threats to breathing (5.9%)Mechanical forces (6.0%)


Interpersonal violence (12.2%)




HIV/AIDS (6.9%)




Hypertensive heart disease (3.1%)Diabetes mellitus (3.0%)

Ischaemic heart disease (4.8%)Diarrhoeal diseases (6.8%)

Cerebrovascular disease (4.7%)


HIV/AIDS (8.1%)Tuberculosis (15.5%)

Prostate (1.9%)

COPD (4.4%)Nephritis/nephrosis (4.0%)


Ischaemic heart disease (14.2%)




Tuberculosis (2.4%)

Other perinatal conditions (2.6%)

Sepsis/other newborn infectious (8.3%)Birth asphyxia (6.7%)

Protein-energy malnutrition (3.7%)

Fires, hot substances (2.2%)


Septicaemia (2.2%)



HIV/AIDS (4.1%)

Other unintentional injuries (7.1%)

Drowning (11.9%)

Fires, hot substances (4.6%)Epilepsy (4.0%)

Accidental threats to breathing (10.8%)






Epilepsy (2.2%)








Meningitis/encephalitis (2.9%)Nephritis/nephrosis (3.0%)Diabetes mellitus (3.2%)

Ischaemic heart disease (5.6%)Diarrhoeal diseases (3.7%)


Lower respiratory infections (13.4%)HIV/AIDS (11.4%)


Septicaemia (2.1%)







Tuberculosis (3.0%)

Rank..Maternal conditions

2006-2010 2011-2015

Fem

ale

15-4

9

123456

Maternal sepsis (12.2%) n=4Abortion (9.0%) n=3

Hypertension in pregnancy (27.2%) n=10Other maternal (14.9%) n=5

Indirect maternal (36.6%) n=13

Maternal sepsis (4.8%) n=6Abortion (12.2%) n=16

Maternal haemorrhage (17.0%) n=22Hypertension in pregnancy (16.4%) n=21

Other maternal (21.4%) n=27Indirect maternal (28.3%) n=36

BroadcauseInjuryNCDHIV and TBComm_mat_peri_nut

Percentages are shownaccording to all the

deaths within theage/period category of

each box, although onlythe leading 10 causes are

displayed.

Percentage of deaths by broad causes and single leading causesGP, Sedibeng: DC42

Show history


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257

Burden of disease – leading causes of death in district

258


258


Women and maternal health

Source: DHIS.

Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country

Value highlighted in orange – performance of the local municipality is possibly below the performance of the district.


259


259

Child and school health

Source: DHIS.



260


260


HIV

Source: DHIS.




261


261

Tuberculosis

Source: DHIS, ETR.Net, EDRWeb.

Value highlighted in green – performance is ranked among the 10 best in the countryValue highlighted in red – performance is ranked among the 10 worst in the country.

262


262


Non-communicable diseases

Source: DHIS.



Numbers of deaths in facilities

Source: DHIS.

Percentage ideal clinics

Source: Ideal Clinic database.


263


263

Vital ideal clinic elements in Primary Health Care facilities score (%)

Sedi

beng

Emfu

leni

LM

Lese

di L

M

Mid

vaal

LM

Resuscitation room is equipped with functional basic equipment for resuscitation 89 92 75 100

Restore the emergency trolley daily or after every time it was used 92 88 100 100

Cold chain procedure for vaccines is maintained 97 96 100 100

90% of the tracer medicines are available 97 96 100 100

The temperature of the medicine room/dispensary is maintained within the safety range 100 100 100 100


Number of facilities by level, 2017/18

Source: DHIS.

Human resources – filled posts

Source: Persal, Ward-based outreach team database.

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Section B: Profile Gauteng ProvinceD

istr

ict h

ealth

exp

endi

ture

and

bud

get,

2017

/18

2017

/18

Bud

get

2017

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Prov

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Tota

l 201

7/18

B

udge

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18

Prov

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Expe

nditu

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% O

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(u

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ovin

cial

Tran

sfer

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GLG

Prov

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LG

LG

2.1

Dis

trict

Man

agem

ent

58 7

89 3

70

51

571

417

58 7

89 3

7051

571

417

(12.

3%)

2.2

Com

mun

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ealth

Clin

ics

273

909

095

261

792

420

273

909

095

261

792

420

(4.4

%)

2.3

Com

mun

ity H

ealth

Cen

tres

168

626

224

229

271

803

168

626

224

229

271

803

36.0

%2.

4 C

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unity

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126

578

655

113

893

218

126

578

655

113

893

218

(10.

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2.6

HIV

/AID

S43

7 08

4 11

4

39

0 05

7 27

4

43

7 08

4 11

439

0 05

7 27

4(1

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7 N

utrit

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12 1

72 0

00

7

465

377

12 1

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007

465

377

(38.

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2.9

Dis

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Hos

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7 96

9 00

0

42

1 37

9 63

4

41

7 96

9 00

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1 37

9 63

40.

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-8

0 67

3 91

410

7 72

9 47

5

-36

890

661

84 0

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2327

055

561

47 1

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6274

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Tot

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128

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1 47

5 43

1 14

3-3

6 89

0 66

184

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923

1 52

2 18

4 01

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542

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Sour

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West Rand District Municipality (DC48)


The West Rand District Municipalitya is a Category C municipality located in the west of the Gauteng Province. The West Rand extends from Randfontein (the seat of the district) in the west to Roodepoort in the east, and includes the town of Krugersdorp. It is bordered by Bojanala Platinum to the north-west, City of Tshwane to the north-east, City of Johannesburg to the east, Sedibeng to the south-east, and Dr Kenneth Kaunda to the south-west. It comprises three local municipalities: Merafong, Mogale and Rand West Cities. The municipality is situated relatively closely to the hub of economic activity in Gauteng and is transversed by major national roads, namely, the N12 and N14. Its main contribution lies primarily within the mining sector, however, areas such as Krugersdorp fulfil a residential function for many people working in Johannesburg. The West Rand remains the poorest region contributing to Gauteng’s Gross Domestic Product. The Cradle of Humankind falls under the jurisdiction of Mogale City and Merafong City and is a World Heritage Site.

Area: 4 087km²

Population (2016)b: 863 261

Population density (2016): 211.2 people per km2


Cities/Towns: Carletonville, Fochville, Krugersdorp, Magaliesburg, Muldersdrift, Randfontein, Wedela, Westonaria.

Main Economic Sectors: Manufacturing (22%), mining (19%), community services (19%), finance (16%), trade (10%), transport (6%), construction (4%).

Population distribution, local municipality boundaries and health facility locations




AgeGrpYear

2006 2016

500 000 0 500 000

Population

500 000 0 500 000

Population


11 00310 45416 98725 75034 95338 39438 79438 59935 80430 56331 42030 82934 35738 422

14 204

12 99518 09223 85828 54233 07035 01835 76531 60332 05432 17436 12337 355

9 70219 32119 26826 88729 99430 23730 42831 09132 87239 88936 05533 64735 98336 88040 467

22 19614 43119 47823 68127 19829 21131 63632 31037 14535 59135 13835 82136 93539 471

West Rand DM (DC48)

AgeGrp

2006 2016

8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%



2.1%3.2%

4.4%4.8%4.9%4.8%4.5%

3.8%3.9%3.9%

4.3%4.8%

1.8%

1.6%2.3%

3.0%3.6%

4.1%4.4%4.5%

4.0%4.0%4.0%4.5%4.7%

2.2%2.2%

3.1%3.5%3.5%3.5%3.6%3.8%

4.6%4.2%3.9%

4.2%4.3%

4.7%

2.6%1.7%

2.3%2.7%3.2%3.4%3.7%3.7%

4.3%4.1%4.1%4.1%4.3%4.6%

Gendermalefemale

Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaWest Rand DM (DC48)

Show history

266


266





267


267



AgeGroup.. 2006-2010 2011-2015<5 years

5-1415-2425-64

65+Total 30%

15%26%25%

37%78%

25%4%

35%26%

21%12%

34%78%

28%13%

13%6%

10%3%

12%37%

29%4%

20%12%

17%17%

24%67%

19%3%

29%21%

16%9%

48%81%

38%17%

25%16%

12%4%

15%46%

35%8%

GP, West Rand: DC48

Rank_.. 2006-2010 2011-2015

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Other perinatal conditions (1.9%)Sepsis/other newborn infectious (2.8%)





HIV/AIDS (10.2%)

Tuberculosis (1.9%)


Drowning (7.4%)

Fires, hot substances (3.6%)Accidental threats to breathing (4.0%)





HIV/AIDS (10.4%)


Epilepsy (1.8%)









Mechanical forces (2.7%)Meningitis/encephalitis (3.0%)

Interpersonal violence (2.5%)Road injuries (2.6%)


Diarrhoeal diseases (6.8%)Cerebrovascular disease (4.0%)



Cardiomyopathy (2.1%)

COPD (5.6%)

Nephritis/nephrosis (3.1%)

Hypertensive heart disease (6.6%)

Diabetes mellitus (4.9%)



Cerebrovascular disease (11.9%)Lower respiratory infections (9.3%)

Tuberculosis (3.5%)

Congenital heart anomalies (2.6%)


Poisonings (including herbal) (2.1%)

Sepsis/other newborn infectious (4.8%)

Birth asphyxia (8.2%)


Preterm birth complications (11.9%)Diarrhoeal diseases (14.2%)


HIV/AIDS (7.6%)

Other unintentional injuries (4.3%)Leukaemia (3.8%)

Drowning (7.6%)



Road injuries (5.7%)Diarrhoeal diseases (5.2%)


Tuberculosis (7.5%)


















Alzheimer’s and other dementias (2.4%)

Prostate (2.2%)Trachea/bronchi/lung (2.3%)

COPD (5.7%)




Ischaemic heart disease (16.6%)Cerebrovascular disease (10.4%)



2006-2010 2011-2015

Fem

ale

15-4

9

123456

Maternal haemorrhage (13.3%) n=5Hypertension in pregnancy (27.3%) n=10

Other maternal (9.9%) n=4


Abortion (8.6%) n=10Maternal haemorrhage (13.8%) n=16







displayed.

Percentage of deaths by broad causes and single leading causesGP, West Rand: DC48

Show history

268


268




269


269


Source: DHIS.



270


270



Source: DHIS.




271


271

HIV

Source: DHIS.



272


272


Tuberculosis




273


273


Source: DHIS.




Source: DHIS.



274


274



Wes

t Ran

d

Mer

afon

g C

ity L

M

Mog

ale

City

LM

Ran

d W

est C

ity L

M

Restore the emergency trolley daily or after every time it was used 63 64 44 81

Resuscitation room is equipped with functional basic equipment for resuscitation 88 93 72 100

The temperature of the medicine room/dispensary is maintained within the safety range 96 100 89 100

Cold chain procedure for vaccines is maintained 98 100 94 100

90% of the tracer medicines are available 100 100 100 100



Source: DHIS.




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275

Dis

tric

t hea

lth e

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re a

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t, 20

17/1

8

2017

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Bud

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2017

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Prov

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Prov

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Tran

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Prov

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2.1

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85 7

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93

796

228

85 7

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796

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9.4%

2.2

Com

mun

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ealth

Clin

ics

314

367

970

263

354

006

314

367

970

263

354

006

(16.

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2.3

Com

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ealth

Cen

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95 9

02 3

28

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6 39

1 7 0

3

95

902

32 8

106

391

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10.9

%2.

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219

220

011

230

282

708

219

220

011

230

282

708

5.0%

2.6

HIV

/AID

S41

7 85

7 16

8

37

1 98

0 19

4

41

7 85

7 16

837

1 98

0 19

4(1

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)2.

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4 01

2 00

0

3

666

764

4 01

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(8.6

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2.9

Dis

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0 17

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0 17

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8 76

933

575

279

-4 6

02 9

701

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(140

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Gra

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1 58

7 29

6 08

7-5

3 09

7 34

948

494

379

1 53

3 43

8 95

1-3

1 72

8 76

933

575

279

1 58

2 69

3 11

71

535

285

461

(3.0

%)

Sour

ce:

BAS,

*L

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276


Ekurhuleni Metropolitan Municipality (EKU)


The City of Ekurhuleni Metropolitan Municipalitya is a Category A municipality and covers an extensive area from Germiston in the west to Springs and Nigel in the east. The former administrations of the nine towns in the former East Rand were amalgamated into the metropolitan municipality, along with the Khayalami Metropolitan Council and the Eastern Gauteng Services Council. It is one of the most densely populated areas in the province, and the country. The economy in the region is larger and more diverse than that of many small countries in Africa. It accounts for nearly a quarter of Gauteng’s economy, which in turn contributes over a third of the national Gross Domestic Product. Many of the factories for the production of goods and commodities are located in Ekurhuleni, often referred to as ‘Africa’s Workshop’.

The network of roads, airports, rail lines, telephones, electricity grids and telecommunications found in Ekurhuleni rivals that of Europe and America. It can be regarded as the transportation hub of the country. It is home to OR Tambo International Airport; South Africa’s largest railway hub; a number of South Africa’s modern freeways and expressways; the Maputo Corridor Development; direct rail, road and air links connecting Ekurhuleni to Durban; the Blue IQ projects, with linkages to the City Deep Container terminal; the Gautrain rapid rail link to Johannesburg and Pretoria; and the OR Tambo International Airport Industrial Development Zone (IDZ). The City of Ekurhuleni Metropolitan Municipality comprises six health sub-districts, namely Ekurhuleni East 1 and East 2, Ekurhuleni North 1 and North 2, and Ekurhuleni South 1 and South 2.

Area: 1 975km²

Population (2016)b: 3 461 050

Population density (2016): 1 752.4 persons per km2


Cities/Towns: Alberton, Bedfordview, Benoni, Birchleigh, Boksburg, Brakpan, Clayville, Daveyton, Dunnottar, Edenvale, Geduld, Germiston, Katlehong, Kempton Park, Kwa-Thema, Machenzieville, Nigel, Olifantsfontein, Springs, Tembisa, Tokoza, Vosloorus, Vorsterkroon.

Main Economic Sectors: Manufacturing (23%), finance and business services (22%), community services (19%), trade (15%), transport (11%), construction (5%), electricity (3%), mining (2%).




277


277

Population distribution, sub-district boundaries and health facility locations


AgeGrpYear

2006 2016

500 000 0 500 000

Population

500 000 0 500 000

Population


115 541140 170

160 399153 974

128 314123 431121 319

132 261146 800

101 388120 592140 436143 838

127 255121 631120 637127 722143 483

47 59140 471

57 32976 147

95 748

61 77640 78353 27169 88386 964 119 345

139 298145 784147 455

171 462152 054132 562140 632145 262151 854

104 178

104 282122 385133 963139 479156 582

144 649128 460137 989143 078148 624

91 31661 171

79 84698 205

58 56374 55388 019

Ekurhuleni MM (EKU)

AgeGrp

2006 2016

8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%



1.6%

1.9%2.5%

3.2%3.9%

4.7%5.3%5.1%

4.3%4.1%4.0%

4.4%4.9%

2.1%

1.8%2.3%

2.9%3.4%

4.0%4.7%4.8%

4.2%4.1%4.0%4.3%

4.8%

2.6%1.8%

2.3%2.8%

3.4%4.0%4.2%4.3%

5.0%4.4%3.8%

4.1%4.2%4.4%

3.0%1.7%2.2%2.5%3.0%

3.5%3.9%4.0%4.5%

4.2%3.7%4.0%4.1%4.3%

Gendermalefemale

Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaEkurhuleni MM (EKU)

Show history

278


278





279


279



AgeGroup.. 2006-2010 2011-2015<5 years

5-1415-2425-64

65+Total 30%

14%26%24%

36%77%

24%4%

33%26%

24%10%

36%79%

30%14%

16%8%

10%3%

10%37%

24%5%

21%13%

17%18%

29%70%

23%4%

34%26%

22%7%

46%81%

37%17%

22%17%

10%3%

12%39%

27%6%

GP, Ekurhuleni: EKU

Rank_.. 2006-2010 2011-2015

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910




Septicaemia (2.4%)



HIV/AIDS (8.2%)

Tuberculosis (2.1%)

Drowning (5.6%)

Fires, hot substances (3.5%)Epilepsy (2.2%)














HIV/AIDS (10.1%)




Interpersonal violence (2.0%)Diabetes mellitus (2.3%)












Tuberculosis (3.0%)




Other respiratory (4.8%)


Septicaemia (3.4%)


HIV/AIDS (5.2%)


Drowning (7.4%)


Other respiratory (3.1%)






Epilepsy (1.4%)








Meningitis/encephalitis (2.6%)Nephritis/nephrosis (2.5%)




Cerebrovascular disease (4.9%)Lower respiratory infections (9.4%)


Prostate (2.3%)Colo-rectal (2.4%)

COPD (6.3%)






Tuberculosis (2.5%)


2006-2010 2011-2015

Fem

ale

15-4

9

123456 Maternal sepsis (3.4%) n=5




Maternal sepsis (5.2%) n=25Abortion (12.1%) n=57Maternal haemorrhage (12.4%) n=58Hypertension in pregnancy (13.7%) n=64






displayed.

Percentage of deaths by broad causes and single leading causesGP, Ekurhuleni: EKU

Show history

280


280




281


281


Source: DHIS.



282


282



Source: DHIS.




283


283

HIV

Source: DHIS.



284


284


Tuberculosis




285


285


Source: DHIS.




Source: DHIS.



286


286



Ekur

hule

ni

Ekur

hule

ni E

ast 1

SD

Ekur

hule

ni E

ast 2

SD

Ekur

hule

ni N

orth

1 SD

Ekur

hule

ni N

orth

2 S

D

Ekur

hule

ni S

outh

1 S

D

Ekur

hule

ni S

outh

2 S

D

Resuscitation room is equipped with functional basic equipment for resuscitation 99 100 94 100 100 100 100

Restore the emergency trolley daily or after every time it was used 99 93 100 100 100 100 100

There is at least one functional wall mounted room thermometer in the medicine room/dispensary 100 100 100 100 100 100 100

The temperature of the medicine room/dispensary is recorded daily 100 100 100 100 100 100 100

The temperature of the medicine room/dispensary is maintained within the safety range 100 100 100 100 100 100 100



Source: DHIS.




287


287

Dis

tric

t hea

lth e

xpen

ditu

re a

nd b

udge

t, 20

17/1

8

2017

/18

Bud

get

2017

/18

Prov

inci

al E

xpen

ditu

re

Tota

l 201

7/18

B

udge

t To

tal 2

017/

18

Prov

inci

al

Expe

nditu

re

% O

vers

pent

(u

nder

spen

t)Pr

ovin

cial

Tran

sfer

to L

GLG

Prov

inci

alTr

ansf

er to

LG

LG

2.1

Dis

trict

Man

agem

ent

77 0

65 5

19

96

478

553

77 0

65 5

1996

478

553

25.2

%2.

2 C

omm

unity

Hea

lth C

linic

s54

8 49

4 49

2

52

6 78

6 28

8

54

8 49

4 49

252

6 78

6 28

8(4

.0%

)2.

3 C

omm

unity

Hea

lth C

entre

s28

2 23

1 03

8

28

8 34

1 9 9

1

28

2 23

1 0 3

828

8 34

1 99

12.

2%2.

4 C

omm

unity

-bas

ed S

ervi

ces

526

761

066

596

132

596

526

761

066

596

132

596

13.2

%2.

6 H

IV/A

IDS

1 02

1 55

2 73

4

1

064

628

212

1 02

1 55

2 73

41

064

628

212

4.2%

2.7

Nut

ritio

n12

154

000

11 6

88 8

35

12

154

000

11 6

88 8

35(3

.8%

)2.

9 D

istri

ct H

ospi

tals

306

479

000

312

385

776

306

479

000

312

385

776

1.9%

Loca

l gov

ernm

ent e

xpen

ditu

re

-155

086

217

1 36

2 89

3 06

5

-153

020

952

1 38

6 86

2 80

31

207

806

848

1 23

3 84

1 85

12.

2%G

rand

Tot

al2

774

737

849

-155

086

217

1 36

2 89

3 06

52

896

442

250

-153

020

952

1 38

6 86

2 80

33

982

544

697

4 13

0 28

4 10

13.

7%

Sour

ce:

BAS,

*L

G –

Loc

al G

over

nmen

t.

288


288


Johannesburg Metropolitan Municipality (JHB)


The City of Johannesburg Metropolitan Municipalitya is located in the Gauteng Province. Johannesburg is the most advanced commercial city in Africa and the engine room of the South African and regional economy. It is a city with a unique, African character, world-class infrastructure in the fields of telecommunications, transportation, water and power, and with globally-competitive health care and educational facilities. However, the city is also one of contrasts – home to both wealthy and poor, residents and refugees, global corporations and emerging enterprises. The demographics of Johannesburg indicate a large and ethnically diverse metropolitan area. As the largest city in South Africa, its population is defined by a long history of local and international migration. Johannesburg is home to almost five million people, accounting for about 36% of Gauteng’s population and 8% of the national population.

The city has been growing over the past decade and a key contributor to this is that the city continues to attract people from other provinces, and internationally, who are looking for better economic opportunities and quality of life. The population pyramid indicates that the city’s population is predominantly young. This can be attributed to migration from other parts of the country as young people look for jobs. Johannesburg is considered the economic hub of South Africa and is often the first choice of destination by job-seekers across the country. The City of Johannesburg Metropolitan Municipality is divided into seven health sub-districts, named Johannesburg Sub-district A to Johannesburg Sub-district G.

Area: 1 645km²

Population (2016)b: 3 461 050

Population density (2016): 3 018.4 people per km2


Cities/Towns: Alexandra, Diepkloof, Diepsloot, Ennerdale, Johannesburg, Johannesburg South, Lawley, Lenasia, Lenasia South, Meadowlands East, Meadowlands West, Midrand, Orange Farm, Pimville, Randburg, Roodepoort, Sandton, Soweto.

Main Economic Sectors: Finance and business services, community services, manufacturing, trade (collectively 82%).





AgeGrpYear

2006 2016

500 000 0 500 000

Population

500 000 0 500 000

Population


114 259143 419

186 255222 988214 290

161 562144 856141 429

162 636186 251

113 162131 015

164 493201 328211 862

168 964143 408138 606157 108

181 718

61 88248 879

69 13588 611

87 23455 21172 74393 828

115 215

128 875170 814

212 993227 918216 632

236 834200 500

174 858191 923

210 418226 308

149 365

102 327121 397

154 483195 315

226 488226 126234 706

198 612171 752187 753206 117220 954

74 29299 679

82 548

Johannesburg MM (JHB)

AgeGrp

2006 2016

8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%



1.6%

1.8%2.3%

3.0%3.7%

4.8%5.8%5.5%

4.2%3.7%3.7%

4.2%4.8%

2.3%1.4%1.9%2.4%2.9%3.4%

4.3%5.2%5.5%

4.4%3.7%3.6%4.1%

4.7%

2.3%1.5%

2.0%2.6%

3.4%4.3%

4.6%4.4%

4.8%4.0%

3.5%3.9%

4.2%4.6%

3.0%1.7%2.1%2.4%

3.1%3.9%

4.6%4.6%4.7%

4.0%3.5%3.8%4.2%4.5%

Gendermalefemale

Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaJohannesburg MM (JHB)

Show history


289


289



290


290




AgeGroup.. 2006-2010 2011-2015<5 years

5-1415-2425-64

65+Total 22%

12%20%18%

23%70%

22%3%

33%23%

20%10%

45%83%

36%19%

28%14%

10%3%

12%41%

29%5%

18%12%15%13%

21%65%

18%3%

29%20%

12%5%

53%82%

43%22%

34%24%

11%4%

13%44%

32%7%

GP, Johannesburg: JHB

Rank_.. 2006-2010 2011-2015

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910

Congenital heart anomalies (3.3%)Sepsis/other newborn infectious (5.1%)Birth asphyxia (5.3%)



Septicaemia (3.0%)



HIV/AIDS (8.5%)

Leukaemia (3.5%)

Drowning (7.3%)













Road injuries (5.4%)Diarrhoeal diseases (2.9%)

Lower respiratory infections (8.0%)HIV/AIDS (11.0%)Tuberculosis (11.7%)


Meningitis/encephalitis (2.3%)Nephritis/nephrosis (2.7%)






Alzheimer’s and other dementias (2.5%)Colo-rectal (2.7%)Trachea/bronchi/lung (3.0%)

COPD (5.1%)

Nephritis/nephrosis (4.5%)Hypertensive heart disease (5.0%)Diabetes mellitus (5.1%)



Other congenital abnormalities (2.9%)





Septicaemia (3.7%)


HIV/AIDS (3.9%)


Leukaemia (4.7%)

Drowning (7.0%)



Meningitis/encephalitis (3.8%)Diarrhoeal diseases (3.1%)


Tuberculosis (4.6%)





Road injuries (2.3%)Nephritis/nephrosis (1.9%)



Septicaemia (2.3%)








Colo-rectal (2.8%)

Trachea/bronchi/lung (3.2%)Septicaemia (3.0%)






2006-2010 2011-2015

Fem

ale

15-4

9

123456 Maternal sepsis (3.2%) n=4


Hypertension in pregnancy (11.1%) n=14


Maternal sepsis (2.9%) n=14








displayed.

Percentage of deaths by broad causes and single leading causesGP, Johannesburg: JHB

Show history


291


291


292


292



Source: DHIS.




293


293


Source: DHIS.



294


294


HIV

Source: DHIS.




295


295

Tuberculosis



296


296



Source: DHIS.




Source: DHIS.




297


297


Joha

nnes

burg

Joha

nnes

burg

A S

D

Joha

nnes

burg

B S

D

Joha

nnes

burg

C S

D

Joha

nnes

burg

D S

D

Joha

nnes

burg

E S

D

Joha

nnes

burg

F S

D

Joha

nnes

burg

G S

D

Restore the emergency trolley daily or after every time it was used 74 92 88 62 61 57 73 85

Resuscitation room is equipped with functional basic equipment for resuscitation 76 85 100 62 75 71 60 81

90% of the tracer medicines are available 98 100 100 100 96 100 100 96

The temperature of the medicine room/dispensary is recorded daily 99 100 100 100 100 100 100 96

The temperature of the medicine room/dispensary is maintained within the safety range 99 100 100 100 100 100 100 96



Source: DHIS.



298


298


istr

ict h

ealth

exp

endi

ture

and

bud

get,

2017

/18

2017

/18

Bud

get

2017

/18

Prov

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al E

xpen

ditu

re

Tota

l 201

7/18

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udge

t To

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017/

18

Prov

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al

Expe

nditu

re

% O

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(u

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spen

t)Pr

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cial

Tran

sfer

to L

GLG

Prov

inci

alTr

ansf

er to

LG

LG

2.1

Dis

trict

Man

agem

ent

158

779

865

142

210

958

158

779

865

142

210

958

(10.

4%)

2.2

Com

mun

ity H

ealth

Clin

ics

659

625

283

772

800

448

659

625

283

772

800

448

17.2

%2.

3 C

omm

unity

Hea

lth C

entre

s86

1 94

8 51

6

78

7 29

2 77

4

86

1 94

8 51

678

7 29

2 77

4(8

.7%

)2.

4 C

omm

unity

-bas

ed S

ervi

ces

509

493

765

380

728

126

509

493

765

380

728

126

(25.

3%)

2.6

HIV

/AID

S1

209

656

557

1 19

6 90

7 11

1

1

209

656

557

1 19

6 90

7 11

1(1

.1%)

2.7

Nut

ritio

n13

386

000

12 8

51 7

32

13

386

000

12 8

51 7

32(4

.0%

)2.

9 D

istri

ct H

ospi

tals

605

704

000

627

031

914

605

704

000

627

031

914

3.5%

Loca

l gov

ernm

ent e

xpen

ditu

re

-156

527

000

929

408

000

-1

51 7

17 3

441

061

039

155

772

881

000

909

321

811

17.7

%G

rand

Tot

al4

018

593

987

-156

527

000

929

408

000

3 91

9 82

3 06

4-1

51 7

17 3

441

061

039

155

4 79

1 47

4 98

74

829

144

875

0.8%

Sour

ce:

BAS,

*L

G –

Loc

al G

over

nmen

t.


299


299

Tshwane Metropolitan Municipality (TSH)


The City of Tshwane Metropolitan Municipalitya is a Category A municipality situated in the Gauteng Province. It merged with the Metsweding District, which was a consequence of the Gauteng Global City Region Strategy to reduce the number of municipalities in Gauteng to at least four by 2016. The City of Tshwane is the single-largest metropolitan municipality in the country, comprising seven regions, 105 wards and 210 councillors. Pretoria is the capital of South Africa. It has the second-largest number of embassies in the world after Washington DC. Many embassies thus call this city their home. The Union Buildings house the administrative hub of the country and has also been the setting for the presidential inaugurations of Nelson Mandela, Thabo Mbeki and the incumbent South African president, Cyril Ramaphosa. These sandstone buildings offer beautiful views over the city.

Its rich and colourful heritage is reflected in the city’s myriad of museums, monuments and historical buildings, and is punctuated by contemporary arts and crafts markets, bringing it alive with a unique blend of old and new. The Science and Technology Museum offers a tactile experience of science at work. The South African mint has a minting press dating back to 1892 that is still in operation. The City also offers township sleepovers with a five-star stay. Church Square and the State Theatre often host international and national performances. There are also two nature reserves where visitors can view wildlife such as buffalo, antelope, cheetah, jackal, giraffe and sable. The City of Tshwane Metropolitan Municipality is divided into seven health sub-districts, namely, Tshwane health sub-district 1 to Tshwane health sub-district 7.

Area: 6 298km²

Population (2016)b: 3 316 198

Population density (2016): 526.5 persons per km2


Cities/Towns: Akasia, Atteridgeville, Bronkhorstspruit, Centurion, Cullinan, Ekangala, Ga-Rankuwa, Garsfontein, Hammanskraal, Irene, Kudube, Mabopane, Mamelodi, Pretoria, Pretoria North, Rayton, Refilwe, Roodeplaat, Soshanguve, Temba, Winterveldt.

Main Economic Sectors: General government (28.1%), finance, insurance, real estate and business services (24.7%), manufacturing (13.0%), wholesale and retail trade, catering and accommodation (11.9%), transport, storage and communication (10.3%), community, social and personal services (5.2%), construction (3.5%), electricity, gas and water (1.9%), mining and quarrying (0.7%), agriculture, forestry and fishing (0.5%).



300


300




AgeGrpYear

2006 2016

500 000 0 500 000

Population

500 000 0 500 000

Population


111 630124 987132 121118 106113 296106 040104 847

127 888

105 237120 082132 743125 966

112 603103 938101 705

124 473

44 49634 580

45 49660 988

76 55090 949

60 77237 93947 16360 05974 54685 940

103 102121 346

140 644147 083

166 317144 546

115 923132 014

144 173156 995

100 238

100 082117 997

141 117154 875166 767

145 812114 742129 411141 345153 376

76 42850 751

66 98582 270

53 15368 06180 645

Tshwane MM (TSH)

AgeGrp

2006 2016

8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%


8% 6% 4% 2% 0% 2% 4% 6% 8%



1.7%

1.8%2.4%

3.0%3.5%

4.3%4.8%5.1%4.6%4.4%4.1%4.1%

4.9%

2.4%1.5%1.8%2.3%

2.9%3.3%

4.1%4.6%5.1%4.9%

4.4%4.0%3.9%

4.8%

2.3%1.5%

2.0%2.5%

3.1%3.7%

4.2%4.4%

5.0%4.4%

3.5%4.0%

4.3%4.7%

3.0%1.6%2.1%2.4%

3.0%3.6%

4.3%4.7%5.0%

4.4%3.5%3.9%4.3%4.6%

Gendermalefemale

Graph 1: District population pyramid 2006 and 2016Graph 2: District % population by age-gender group in 2006 and 2016 compared to South AfricaTshwane MM (TSH)

Show history


301


301



302


302




AgeGroup.. 2006-2010 2011-2015<5 years

5-1415-2425-64

65+Total 22%

10%19%20%

29%73%

18%3%

28%20%

18%10%

49%84%

41%19%

30%11%

10%3%

12%41%

22%5%

16%10%

14%16%

23%66%

18%3%

29%22%

19%7%

57%84%

46%25%

33%19%

9%3%

11%37%

25%7%

GP, Tshwane: TSH

Rank_.. 2006-2010 2011-2015

<5 y

ears

12345678910

5-14

12345678910

15-2

4

12345678910

25-6

4

12345678910

65+

12345678910





Septicaemia (2.4%)


HIV/AIDS (8.0%)

Tuberculosis (2.3%)

Congenital heart anomalies (2.3%)Leukaemia (3.7%)Drowning (3.9%)

Endocrine nutritional,blood, immune (1.8%)












Lower respiratory infections (9.1%)HIV/AIDS (9.4%)Tuberculosis (10.6%)








Trachea/bronchi/lung (2.3%)Cardiomyopathy (2.3%)






Tuberculosis (2.1%)

Congenital heart anomalies (3.6%)Other perinatal conditions (3.0%)


Birth asphyxia (6.6%)



Septicaemia (2.7%)


HIV/AIDS (5.6%)

Leukaemia (3.2%)Drowning (3.4%)






HIV/AIDS (10.5%)

Tuberculosis (8.7%)

Leukaemia (2.2%)








Mechanical forces (2.6%)Road injuries (2.6%)

Nephritis/nephrosis (3.1%)Hypertensive heart disease (2.8%)





Prostate (2.4%)Trachea/bronchi/lung (2.4%)





Tuberculosis (2.3%)


2006-2010 2011-2015

Fem

ale

15-4

9

123456




Maternal sepsis (4.3%) n=12


Hypertension in pregnancy (17.1%) n=49Other maternal (28.3%) n=81Indirect maternal (32.0%) n=92





displayed.

Percentage of deaths by broad causes and single leading causesGP, Tshwane: TSH

Show history


303


303


304


304



Source: DHIS.




305


305


Source: DHIS.



306


306


HIV

Source: DHIS.




307


307

Tuberculosis


Value highlighted in green – performance is ranked among the 10 best in the country

Value highlighted in red – performance is ranked among the 10 worst in the country.

308


308



Source: DHIS.




Source: DHIS.




309


309


Tshw

ane

Tshw

ane

1 SD

Tshw

ane

2 SD

Tshw

ane

3 SD

Tshw

ane

4 SD

Tshw

ane

5 SD

Tshw

ane

6 SD

Tshw

ane

7 SD

Restore the emergency trolley daily or after every time it was used 81 90 92 83 100 50 89 29

Resuscitation room is equipped with functional basic equipment for resuscitation 89 81 100 92 100 100 100 57

Cold chain procedure for vaccines is maintained 99 95 100 100 100 100 100 100

90% of the tracer medicines are available 99 100 100 100 100 83 100 100

The temperature of the medicine room/dispensary is maintained within the safety range 100 100 100 100 100 100 100 100



Source: DHIS.



310


310


istr

ict h

ealth

exp

endi

ture

and

bud

get,

2017

/18

2017

/18

Bud

get

2017

/18

Prov

inci

al E

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ditu

re

Tota

l 201

7/18

B

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t To

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017/

18

Prov

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Expe

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re

% O

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(u

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Tran

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to L

GLG

Prov

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alTr

ansf

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LG

LG

2.1

Dis

trict

Man

agem

ent

136

138

636

140

495

179

136

138

636

140

495

179

3.2%

2.2

Com

mun

ity H

ealth

Clin

ics

629

103

160

591

515

193

629

103

160

591

515

193

(6.0

%)

2.3

Com

mun

ity H

ealth

Cen

tres

369

331

894

380

967

111

369

331

894

380

967

111

3.2%

2.4

Com

mun

ity-b

ased

Ser

vice

s39

8 02

6 50

3

45

9 62

0 38

1

39

8 02

6 50

345

9 62

0 38

115

.5%

2.6

HIV

/AID

S87

1 05

2 42

7

86

6 85

7 87

8

87

1 05

2 42

786

6 85

7 87

8(0

.5%

)2.

7 N

utrit

ion

13 8

59 0

00

13

883

933

13 8

59 0

0013

883

933

0.2%

2.9

Dis

trict

Hos

pita

ls1

203

590

000

1 19

0 71

7 16

6

1

203

590

000

1 19

0 71

7 16

6(1

.1%)

Loca

l gov

ernm

ent e

xpen

ditu

re

-166

463

948

616

490

020

-1

61 7

36 3

8856

0 97

8 08

245

0 02

6 07

239

9 24

1 69

4(1

1.3%

)G

rand

Tot

al3

621

101

620

-166

463

948

616

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section b: district health profilessection b: profile ... health... · overview of the district ......

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