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Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang, Carly Heung, Alexis Palmer, Julio Montaner, Robert Hogg, Nathan Ford, Edward Mills MOAE0101

Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

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Page 1: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Assessment of PEPFAR’s Impact on Selected Health System Parameters

in Sub-Saharan African Countries

Presented by: Anya ShenViviane D. Lima, Wendy Zhang, Carly Heung, Alexis Palmer, Julio Montaner,

Robert Hogg, Nathan Ford, Edward Mills

MOAE0101

Page 2: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Overview

• PEPFAR results by September 2008 Supported treatment for more than 2.1 million peopleOverall HIV prevention estimates unknown. Estimated

240,000 mother-to-child transmissions averted10.1 million people received care globally

• Other published studiesDecreased HIV-related deaths in PEPFAR focus countries in

Sub-Saharan Africa comparing to other countries in the same region1

• ‘The President’s Emergency Plan for AIDS Relief in Africa: An Evaluation of Outcomes’ Bendavid, et all. 2009

Page 3: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Research Objectives

• PEPFAR is a vertical program• There is a need to investigate the effect that disease-

specific vertical programs have on health systems and population health

• The objective:– Assessment of PEPFAR’s impact on selected population

health parameters in Sub-Saharan African countries

Page 4: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

MethodsFocus countries: Botswana, Cote d’lvoire, Ethiopia, Kenya, Mozambique, Namibia, Nigeria, Rwanda, South Africa, Tanzania, Uganda, Zambia

Control countries: Angola, Benin, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Democratic Republic of Congo, Djibouti, Eritrea, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Lesotho, Liberia, Madagascar, Malawi, Mali, Niger, Senegal, Sierra Leone, Somalia, Sudan, Swaziland, Togo, Zimbabwe

Focus

Control

Page 5: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Methods• Longitudinal data collected from WHO, UN, World

Bank, US Census Bureau• Time frame

1. Pre-PEPFAR era [1999-2002]2. PEPFAR era [2004-2007]

• Comparison of trends in focus and control countries before and after the initiation of PEPFAR programs

• Mixed-effects Models, General Linear Regression Models

Page 6: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Mean Change between Pre-PEPFAR era and PEPFAR era, CI

Comparison of Mean Change between Focus and Control, CI*

P-value

Focus -10.76 (-13.49, -8.03 )* -5.14(-0.63, -9.66)* P=.0028

Control -5.62(-7.40, -3.83)*

60

80

100

120

140

160

180

1999 2000 2001 2002 2003 2004 2005 2006 2007

Un

der

5 M

ort

ali

ty R

ate

(p

er

1,0

00

liv

e b

irth

s)

Year

Under 5 Mortality Rate

Focus

Control

Page 7: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

40

50

60

70

80

90

100

110

1999 2000 2001 2002 2003 2004 2005 2006 2007

Infa

nt M

ort

ali

ty R

ate

(per

10

0,0

00

li

ve b

irth

s)

Year

I nfant Mortality Rate

Focus

Control

Average Change between Pre-PEPFAR era and PEPFAR era, CI

Comparison of Average Change between Focus and Control, CI

P-value

Focus -3.18 (-5.50, -0.86)* 1.61(-2.21, 5.42) P=.246

Control -4.79(-6.28, -3.29)*

Page 8: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

400

500

600

700

800

900

1999 2000 2001 2002 2003 2004 2005 2006 2007

Mate

rnal

Mort

ality

Rate

(p

er

10

0,0

00

liv

e

bir

ths)

Year

Maternal Mortality Rate

Focus

Control

Average Change between Pre-PEPFAR era and PEPFAR era, CI

Comparison of Average Change between Focus and Control, CI

P-value

Focus -43.46 (-68.21, -18.71 )* -6.58(-47.26, 34.09) P=.653

Control -36.88 (-52.80, -20.95)*

Page 9: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

47

48

49

50

51

52

53

1999 2000 2001 2002 2003 2004 2005 2006 2007

Lif

e E

xp

ect

an

cy

Year

Life Expectancy

Focus

Control

Average Change between Pre-PEPFAR era and PEPFAR era, CI

Comparison of Average Change between Focus and Control, CI

P-value

Focus 0.42 (-0.20, 1.04) -0.08 (-1.10, 0.94) P=.825

Control 0.50 (0.10, 0.90)*

Page 10: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Pre-PEPARMean Annual Change (1999-2002)

PEPFARMean Annual Change (2004-2007)

Difference in Mean Annual Change between Two Eras*

Focus -0.30(-0.65, -0.05)* 0.81(0.52, 1.10)* 1.11(0.57, 1.75)*

Control 0.18(0.04, 0.41)* 0.45(0.37, 0.54)* 0.27(-0.04, 0.50)

47

48

49

50

51

52

53

1999 2000 2001 2002 2003 2004 2005 2006 2007

Lif

e E

xp

ect

an

cy

Year

Life Expectancy

Focus

Control

Page 11: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

PRE-PEPFARMean Annual Change (1999-2002)

PEPFARMean Annual Change (2004-2007)

Difference in Mean Annual Change between Two Eras

Focus 2.95(-3.70 to 9.59) -2.52(-5.01 to -0.02)* -5.47(-14.60 to 3.68)

Control -1.31(-6.41 to 3.80) 3.26(-5.75 to 12.26) 3.26(-5.75 to 12.26)

HIV/TB Related Death Rate

20

30

40

50

60

70

80

90

100

1999 2000 2001 2002 2003 2004 2005 2006 2007

Year

HIV

/TB

De

ath

Rat

e

FocusControl

Page 12: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

60

70

80

90

100

110

120

130

140

1999 2000 2001 2002 2003 2004 2005 2006 2007

TB

Death

Rate

Year

TB Death Rate

Focus

Control

Pre-PEPFARMean Annual Change

(1999-2002)

PEPFARMean Annual

Change (2004-2007)

Difference in Mean Annual Change between Two Eras

Focus 5.52(-2.09 to 13.12) -3.41(-6.22 to -0.60)* -8.93(-19.34 to -1.49)*

Control -1.33(-7.21 to 4.55) 2.64(-1.74 to 7.03) 3.97(-2.81 to 14.24)

Page 13: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

200

250

300

350

400

450

500

550

1999 2000 2001 2002 2003 2004 2005 2006 2007

TB

In

cid

en

ce R

ate

Year

TB I ncidence Rate

Focus

Control

Pre-PEPFARMean Annual Change

(1999-2002)

PEPFARMean Annual

Change (2004-2007)

Difference in Mean Annual rate of Change

between Two Eras

Focus 32.45(23.94, 40.97)* -13.21(-17.86, -8.57)* -45.66(-58.83, -32.51)*

Control 15.89(11.25, 20.53)* 2.44(-0.30, 5.17) -13.45(-20.83, -6.08)*

Page 14: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Mean Annual Change (1999-2002)

Mean Annual Change (2004-2007)

Difference in Mean Annual Change between Two Eras

Focus 18.84(11.01, 26.67)* -8.36(-11.81, -4.90)* -27.20(-38.48, -15.91)*

Control 8.29(4.51, 12.08)* -0.20(-2.04, 1.63)* -8.49(-2.88, 14.12)*

0

50

100

150

200

250

300

350

1999 2000 2001 2002 2003 2004 2005 2006 2007

HIV

/TB

Inci

denc

e R

ate

Year

HI V/ TB I ncidence Rate

Focus

Control

Page 15: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Limitations

• Other confounders - Global Fund• Countries not picked at random & significant

baseline differences.• Population-based survey estimates in resource

limited countries have the potential for bias and problems with results based on aggregated measures.

• Lack of data in key indicators.• Lack of continuous data.

Page 16: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Conclusion• This analysis demonstrates the impact of PEPFAR

funding on mortality rates & population health indicators in Sub-Saharan Africa

• A significantly improving trend is shown in U5MR and Life Expectancy in PEPFAR-focus countries when compared with control countries

• Positive trends are evident in maternal mortality (though non-sig) rates in focus countries from Pre-PEPFAR era to PEPFAR era.

Page 17: Assessment of PEPFAR’s Impact on Selected Health System Parameters in Sub-Saharan African Countries Presented by: Anya Shen Viviane D. Lima, Wendy Zhang,

Acknowledgement

• The author would like to thank Dr. Viviane D Lima and Wendy Zhang for their statistical support, co-authors and the rest of the BC Centre for Excellence staff for their support and encouragement.

• Special thanks to Dr. Edward Mills for his encouragement and guidance for without which this project would not have been started.