Assessment &
adjustment for data
quality used in the
South African
DISTRICT
HEALTH
BAROMETERCandy Day
21 September 2009
Assessment of data sources
Data Source Contents
Capacity &
Practices
Dissemination Integration and use Total
Census
Highly adequate
100%
Highly adequate
75%
Adequate
71%
Adequate
56%
Highly adequate
75%
Vital statistics
Highly adequate
89%
Adequate
67%
Highly adequate
100%
Highly Adequate
83%
Highly adequate
85%
Population-based
surveys
Adequate
57%
Highly Adequate
88%
Highly adequate
100%
Present but not
adequate
33%
Adequate
70%
Health and disease
records (incl.
surveillance)
Adequate
56%
Adequate
59%
Present but not
adequate
44%
Present but not
adequate
28%
Present but not
adequate
47%
Health service records
Not adequate at all
12%
Present but not
adequate
41%
Highly adequate
78%
Adequate
50%
Present but not
adequate
45%
Resource records
Adequate
63%
Present but not
adequate
40%
Present but not
adequate
33%
Present but not
adequate
31%
Present but not
adequate
42%
Total
Adequate
63%
Adequate
62%
Adequate
71%
Present but not
Adequate
47%
Adequate
61%
Problems of health records
 Range from burdensome paper-records
to high-tech paperless EMRs
 In general these systems do not function
well
 Incomplete, poor quality, time delays
 Inadequate staffing and resourcing
 Poor feedback, dissemination and use
 Poor integration
Record review
 Challenges for routine health system data
management in a large public programme to
prevent mother-to-child HIV transmission in
South Africa.
Kedar S Mate, Brandon Bennett, Wendy
Mphatswe, Pierre Barker, Nigel Rollins (2009)
PloS one 4 (5) p. e5483
 An evaluation of the District Health
Information System in rural South Africa.
A Garrib, N Stoops, A McKenzie, L Dlamini, T
Govender, J Rohde, K Herbst (2008)
South African medical journal 98 (7) p. 549-52
All
indicators
Single indicator
Monthly data
 Trend
smoothing
 Data
variability
 Noteworthy
events
Data quality issues
HIV prevalence data sources
Vital statistics
Malaria deaths notification and vital registration - South Africa
0
20
40
60
80
100
120
140
160
180
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
SepOct
Nov
Dec
Jan
Feb
Mar
Apr
May
JunJul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
MarApr
May
Jun
Jul
Aug
Sep
Oct
Nov
DecJan
Feb
Mar
Apr
May
Jun
Jul
Aug
SepOct
Nov
Dec
Jan
Feb
Mar
Apr
May
JunJul
Aug
Sep
Oct
Nov
Dec
Jan
FebMarApr
May
Jun
JulAug
Sep
OctNov
DecJan
Feb
Mar
Apr
May
Jun
Jul
Aug
SepOct
Nov
Dec
Jan
Feb
MarApr
May
JunJul
AugSep
Oct
Nov
Dec
Jan
Feb
MarApr
May
Jun
Jul
Aug
Sep
Oct
Nov
DecJanFeb
Mar
Apr
May
Jun
Jul
Aug
SepOct
Nov
Dec
Jan
Feb
Mar
Apr
May
JunJul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
SA
SA (VR)
Linking expenditure to utilisation
THANK YOU!
 Candy Day
 candy@hst.org.za
 http://www.hst.org.za

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Assessment & adjustment for data quality used in the South African DISTRICT HEALTH BAROMETER

  • 1. Assessment & adjustment for data quality used in the South African DISTRICT HEALTH BAROMETERCandy Day 21 September 2009
  • 2. Assessment of data sources Data Source Contents Capacity & Practices Dissemination Integration and use Total Census Highly adequate 100% Highly adequate 75% Adequate 71% Adequate 56% Highly adequate 75% Vital statistics Highly adequate 89% Adequate 67% Highly adequate 100% Highly Adequate 83% Highly adequate 85% Population-based surveys Adequate 57% Highly Adequate 88% Highly adequate 100% Present but not adequate 33% Adequate 70% Health and disease records (incl. surveillance) Adequate 56% Adequate 59% Present but not adequate 44% Present but not adequate 28% Present but not adequate 47% Health service records Not adequate at all 12% Present but not adequate 41% Highly adequate 78% Adequate 50% Present but not adequate 45% Resource records Adequate 63% Present but not adequate 40% Present but not adequate 33% Present but not adequate 31% Present but not adequate 42% Total Adequate 63% Adequate 62% Adequate 71% Present but not Adequate 47% Adequate 61%
  • 3. Problems of health records  Range from burdensome paper-records to high-tech paperless EMRs  In general these systems do not function well  Incomplete, poor quality, time delays  Inadequate staffing and resourcing  Poor feedback, dissemination and use  Poor integration
  • 4. Record review  Challenges for routine health system data management in a large public programme to prevent mother-to-child HIV transmission in South Africa. Kedar S Mate, Brandon Bennett, Wendy Mphatswe, Pierre Barker, Nigel Rollins (2009) PloS one 4 (5) p. e5483  An evaluation of the District Health Information System in rural South Africa. A Garrib, N Stoops, A McKenzie, L Dlamini, T Govender, J Rohde, K Herbst (2008) South African medical journal 98 (7) p. 549-52
  • 7. Monthly data  Trend smoothing  Data variability  Noteworthy events
  • 10. Vital statistics Malaria deaths notification and vital registration - South Africa 0 20 40 60 80 100 120 140 160 180 Jan Feb Mar Apr May Jun Jul Aug SepOct Nov Dec Jan Feb Mar Apr May JunJul Aug Sep Oct Nov Dec Jan Feb MarApr May Jun Jul Aug Sep Oct Nov DecJan Feb Mar Apr May Jun Jul Aug SepOct Nov Dec Jan Feb Mar Apr May JunJul Aug Sep Oct Nov Dec Jan FebMarApr May Jun JulAug Sep OctNov DecJan Feb Mar Apr May Jun Jul Aug SepOct Nov Dec Jan Feb MarApr May JunJul AugSep Oct Nov Dec Jan Feb MarApr May Jun Jul Aug Sep Oct Nov DecJanFeb Mar Apr May Jun Jul Aug SepOct Nov Dec Jan Feb Mar Apr May JunJul Aug Sep Oct Nov Dec Jan Feb Mar 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 SA SA (VR)
  • 11. Linking expenditure to utilisation
  • 12. THANK YOU!  Candy Day  [email protected]  http://www.hst.org.za