March 17 2015 PoCDx Seminar - Stefano Bertozzi - HIV Prevention Interventions & Performance Management: What Can We Learn From the Data

HIV interventions and performance
management: what can we learn from
the data?
Stefano M Bertozzi
Point of Care Diagnostics Seminar
Saint Patrick’s Day, 2015
Evaluación de la eficiencia
técnica de los programas
de prevención y
tratamiento de VIH
Sergio Bautista, Director, Economía de
la Salud
Número de sitios que componen la muestra analítica, por
tipo de unidad y país
Hospital de
referencia
Hospital
general
Centro de
salud
Otras unidades
primarias
Total
HTC
Kenya 2 20 15 11 48
Rwanda - 1 51 - 52
South
Africa 2 22 11 20 55
Zambia - 14 42 5 61
PMTCT
Kenya 2 17 14 6 39
Rwanda - 1 51 - 52
South
Africa 1 10 12 20 43
Zambia - 13 35 1 49
VMMC
Kenya 1 12 14 10 37
Rwanda - 7 20 - 27
South
Africa 1 17 4 5 27
Costo por cliente de HTC, PMTCT y cascada de atención
HTC PMTCT
17 453 5 1,367 27 154 21 142 61 1,207 2,441 16 3,641 3,923 114 574 1,978 70 767 3,887
$10
$100
$1,000
Kenya Rwanda South Africa Zambia Kenya Rwanda South Africa Zambia
Averagecostperclient(USD)
Type of client Tested Tested + positive Positive + on ART
Kenya Rwanda South Africa Zambia
6.2
15
8.6
2.9
1.4 .7
19
21
24
13
19
12
0
5
10
15
20
25
National
HIV prevalence
HTC positivity
rate
PMTCT positivity
rate
National
HIV prevalence
HTC positivity
rate
PMTCT positivity
rate
National
HIV prevalence
HTC positivity
rate
PMTCT positivity
rate
National
HIV prevalence
HTC positivity
rate
PMTCT positivity
rate
HIV
prevalence(%)
Note: Labels inside the bars indicate precise dollar figures
Note: Positivity rate was calculated as the percentage of (HTC , PMTCT) clients tested and HIV+ / (HTC , PMTCT) clients tested
Categorías de costos y distribución del personal
Tanzania: Number of People Living with HIV, 2014
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1
104
207
310
413
516
619
722
825
928
1031
1134
1237
1340
1443
1546
1649
1752
1855
1958
2061
2164
2267
2370
2473
2576
2679
2782
2885
2988
3091
3194
3297
3400
3503
3606
3709
3812
3915
4018
4121
4224
4327
4430
4533
4636
4739
%HIVpositivewomenidentifiedin6months
# sites
Kenya PMTCT Site Yield Distribution (SAPR14)
90% of patients are in 28% of the sites
Geographic Refocusing in Kenya
% HIV Positive Women Identified in PMTCT Sites
Costos promedio y escala
Excess costs: viral supp. & immun. recovery vs treatment costs
Baseline CD4>200 cel/mm3 VL<50 copies/mm3 (6−18 m)
VL<50 copies/mm3 (6−18 m)
and CD4 recovery (>400
cel/mm3)
$10,000
$20,000
$30,000
$40,000
$50,000
25 50 75 25 50 75 25 50 75
Percentage of clients, by clinical characteristic
AverageannualcostperclientwithVL<50andCD4>400(USD)
New clients
2012
200
400
600
Percentage of patients who initiated
ART with CD4>200 cel/ml
0% 25% 50% 75% 100%
Percentage of patients with
CV<50 copies/ml (6−18 m)
0% 25% 50% 75% 100%
Percentage of patients with CV<50 copies/ml
and CD4 recovery
0% 25% 50% 75% 100%
Notes: Bar widths are proportional to patient volume
Programa de atención en México: desempeño clínico a nivel de la unidad
March 17 2015 PoCDx Seminar - Stefano Bertozzi - HIV Prevention Interventions & Performance Management: What Can We Learn From the Data
IN THE LAST YEAR
To improve management,
need to monitor
March 17 2015 PoCDx Seminar - Stefano Bertozzi - HIV Prevention Interventions & Performance Management: What Can We Learn From the Data
March 17 2015 PoCDx Seminar - Stefano Bertozzi - HIV Prevention Interventions & Performance Management: What Can We Learn From the Data
March 17 2015 PoCDx Seminar - Stefano Bertozzi - HIV Prevention Interventions & Performance Management: What Can We Learn From the Data
Reaching 100% ART coverage for TB/HIV
patients must be a priority
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Angola
Botswa…
Camero…
Cote…
DR…
Ethiopia
Ghana
Haiti
Kenya
Lesotho
Malawi
Mozam…
Namibia
Nigeria
Rwanda
South…
Swazila…
Tanzania
Uganda
Zambia
Zimbab…
* ART eligibility at <350 CD4
World Health Organization, Global TB report 2013
Goal: 100% Coverage
Current ART coverage among eligible* TB PLHIV
Agradecimientos
- El proyecto ORPHEA es financiado por la Fundación Bill & Melinda
Gates.
- Agradecemos la colaboración de nuestros socios académicos en
Kenya, Rwanda, Sudáfrica, Zambia y los Estados Unidos.
- Estamos agradecidos con nuestros colegas del Programa Global de
VIH/SIDA del Banco Mundial, el CGD y ONUSIDA por su apoyo y
colaboración.
……………………………………………………………………………
PEPFAR
Ambassador Deborah L. Birx, M.D.
U.S. Global AIDS Coordinator
U.S. Department of State
UCSF
October, 2014
Changing the Course of the HIV/AIDS Epidemic
Using Data, Modeling, Economic Analyses and Innovation
to Improve Program Impact
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March 17 2015 PoCDx Seminar - Stefano Bertozzi - HIV Prevention Interventions & Performance Management: What Can We Learn From the Data

  • 1. HIV interventions and performance management: what can we learn from the data? Stefano M Bertozzi Point of Care Diagnostics Seminar Saint Patrick’s Day, 2015
  • 2. Evaluación de la eficiencia técnica de los programas de prevención y tratamiento de VIH Sergio Bautista, Director, Economía de la Salud
  • 3. Número de sitios que componen la muestra analítica, por tipo de unidad y país Hospital de referencia Hospital general Centro de salud Otras unidades primarias Total HTC Kenya 2 20 15 11 48 Rwanda - 1 51 - 52 South Africa 2 22 11 20 55 Zambia - 14 42 5 61 PMTCT Kenya 2 17 14 6 39 Rwanda - 1 51 - 52 South Africa 1 10 12 20 43 Zambia - 13 35 1 49 VMMC Kenya 1 12 14 10 37 Rwanda - 7 20 - 27 South Africa 1 17 4 5 27
  • 4. Costo por cliente de HTC, PMTCT y cascada de atención HTC PMTCT 17 453 5 1,367 27 154 21 142 61 1,207 2,441 16 3,641 3,923 114 574 1,978 70 767 3,887 $10 $100 $1,000 Kenya Rwanda South Africa Zambia Kenya Rwanda South Africa Zambia Averagecostperclient(USD) Type of client Tested Tested + positive Positive + on ART Kenya Rwanda South Africa Zambia 6.2 15 8.6 2.9 1.4 .7 19 21 24 13 19 12 0 5 10 15 20 25 National HIV prevalence HTC positivity rate PMTCT positivity rate National HIV prevalence HTC positivity rate PMTCT positivity rate National HIV prevalence HTC positivity rate PMTCT positivity rate National HIV prevalence HTC positivity rate PMTCT positivity rate HIV prevalence(%) Note: Labels inside the bars indicate precise dollar figures Note: Positivity rate was calculated as the percentage of (HTC , PMTCT) clients tested and HIV+ / (HTC , PMTCT) clients tested
  • 5. Categorías de costos y distribución del personal
  • 6. Tanzania: Number of People Living with HIV, 2014
  • 9. Excess costs: viral supp. & immun. recovery vs treatment costs Baseline CD4>200 cel/mm3 VL<50 copies/mm3 (6−18 m) VL<50 copies/mm3 (6−18 m) and CD4 recovery (>400 cel/mm3) $10,000 $20,000 $30,000 $40,000 $50,000 25 50 75 25 50 75 25 50 75 Percentage of clients, by clinical characteristic AverageannualcostperclientwithVL<50andCD4>400(USD) New clients 2012 200 400 600
  • 10. Percentage of patients who initiated ART with CD4>200 cel/ml 0% 25% 50% 75% 100% Percentage of patients with CV<50 copies/ml (6−18 m) 0% 25% 50% 75% 100% Percentage of patients with CV<50 copies/ml and CD4 recovery 0% 25% 50% 75% 100% Notes: Bar widths are proportional to patient volume Programa de atención en México: desempeño clínico a nivel de la unidad
  • 12. IN THE LAST YEAR To improve management, need to monitor
  • 16. Reaching 100% ART coverage for TB/HIV patients must be a priority 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Angola Botswa… Camero… Cote… DR… Ethiopia Ghana Haiti Kenya Lesotho Malawi Mozam… Namibia Nigeria Rwanda South… Swazila… Tanzania Uganda Zambia Zimbab… * ART eligibility at <350 CD4 World Health Organization, Global TB report 2013 Goal: 100% Coverage Current ART coverage among eligible* TB PLHIV
  • 17. Agradecimientos - El proyecto ORPHEA es financiado por la Fundación Bill & Melinda Gates. - Agradecemos la colaboración de nuestros socios académicos en Kenya, Rwanda, Sudáfrica, Zambia y los Estados Unidos. - Estamos agradecidos con nuestros colegas del Programa Global de VIH/SIDA del Banco Mundial, el CGD y ONUSIDA por su apoyo y colaboración.
  • 18. …………………………………………………………………………… PEPFAR Ambassador Deborah L. Birx, M.D. U.S. Global AIDS Coordinator U.S. Department of State UCSF October, 2014 Changing the Course of the HIV/AIDS Epidemic Using Data, Modeling, Economic Analyses and Innovation to Improve Program Impact