Early access to voluntary HIV counseling and testing, bed nets and water filters through an integrated campaign in Kenya: potential impact on HIV and TB transmission Reuben Granich HIV/AIDS Department World Health Organization International AIDS Conference, Vienna July 18-23, 2010
24
Embed
Reuben Granich HIV/AIDS Department World Health Organization
Early access to voluntary HIV counseling and testing, bed nets and water filters through an integrated campaign in Kenya: potential impact on HIV and TB transmission. Reuben Granich HIV/AIDS Department World Health Organization. International AIDS Conference, Vienna July 18-23, 2010. - PowerPoint PPT Presentation
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Early access to voluntary HIV counseling and testing, bed nets and water filters through an
integrated campaign in Kenya: potential impact on HIV and TB transmission
Reuben GranichHIV/AIDS Department
World Health Organization
International AIDS Conference, Vienna
July 18-23, 2010
Outline:
• Background
• Methods
• Results
• Conclusions
Smallpox eradication 1796 to 1977:Edward Jenner to Merca Town, Somalia
Campaigns against Guinea Worm
Guinea worm eradication
Campaigns against preventable blindnessPreventable blindness
Community counseling and testing is feasible and works in a wide variety of settings
Photos courtesy of Bunnell R, Marum E, and Vestergaard Frandsen
Late initiation of ART and mortality
Source: Egger M, CROI 2007
Havlir, Getahun et al. 2008 JAMA 300(4):423-430
CD4 level is associated with TB incidence:earlier start may decrease TB risk
"TB death zone"
Slide adapted by Dr. Abhishek Sharma
Coverage of ART among eligible people living with HIV
Kenya (2007 KAIS)
HIV test
57% Unaware of status, not
on ART
4% know status, not on ART
39% know status,
on ART
Among those who knew status and were eligible 92% were on ARTMohammed, CROI 2009
57%
39%
• ~1,300,000 persons living with HIV (15-64yrs)
• Prevalence 7.1% • range (1% to 15%)
• Nyanza and Rift Valley home to >50% of HIV-infected adults (15-64 yrs)
Kenya Aids Indicator survey (KAIS) 2007
Population – 37,538,000
Kisii
Kisii (Nyanza) campaign sites
Kisii Level 5 Hospital
Mosocho
Keumbu Kiogoro
Methods• Kisii District, Nyanza Province (population 4.7
million; target population 5000)• September 2009 three days day, three site
campaign• Campaign objective:
– Lessons from the 2008 Kakamega campaign– Feasibility of scaling up onsite CD4 cell counts – Testing the campaign in a peri-urban setting – Determine potential benefits of early HIV
identification• Interventions:
– LLIN, water filters, 60 condoms– Health education information
Methods: logistics and laboratory• Ministry of Health and Vestergaard Frandsen collaboration• Participants with HIV received a 3-month supply of
cotrimoxazole and referral for further care and treatment• Campaign cohort used Guava AUTOCD4 flow cytometers
for CD4 counts • Hospital reference cohort used Becton Dickinson FACS
Calibur• External quality control of CD4 counts
– 5% campaign samples sent to Kisii Hospital for quality control
– Kisii hospital works in partnership with CDC Kisumu for quality control of CD4 counts
Methods: Hospital cohort
• Kisii Hospital 6 month historical reference cohort abstracted from medical records (March to August 2009)
• First CD4 counts of all patients aged 15 and above diagnosed with HIV
• Historical cohort of 1284 patients• Modeling of potential benefits was done using
similar parameters and model – 2007 KAIS CD4 data
Results– Campaign reached 5203 individuals
• Package given to 5203 (100%) of people whether or not they decided to have HIV test
• 100% tested for HIV• 329 (6.3%) tested HIV positive• 255 (78%) had CD4 count determination • median of 536 cells/ µL (IQR 350;759)
– Kisii Hospital reference cohort• 1284 first CD4 counts • Median 348 cells/ µL (IQR 185;551)
CD4+ cell count distribution in Nyanza Province (KAIS survey) and the Kisii campaign
0.0
0.1
0.2
0.3
0.4
0.5
0-250 250-500
500-750
750-1000
1000-1250
1250-1500
1500-1750
1750-2000
Nyanza and Campaign Nyanza Province (KAIS)Campaign participants
No significant difference in the distributions
CD4+ cell count distribution in Nyanza Province (KAIS survey) and the Kisii campaign
hospital cohort
0.0
0.1
0.2
0.3
0.4
0.5
0-250 250-500
500-750
750-1000
1000-1250
1250-1500
1500-1750
1750-2000
Nyanza and ReferenceNyanza Province (KAIS)Kisii Hospital reference cohort
Hospital cohort significantly lower
CD4+ cell count distribution in Kisii hospital reference cohort and the Kisii campaign
0.0
0.1
0.2
0.3
0.4
0.5
0-250 250-500
500-750
750-1000
1000-1250
1250-1500
1500-1750
1750-2000
Reference and Campaign Kisii Hospital reference cohortCampaign participants
Campaign cohort significantly higher
0.00
0.20
0.40
0.60
0.80
1.00
0 500 1000 1500 2000CD4/micro-litre
Cum
ulat
ive
prob
abili
ty
ReferenceCampaignKAIS (Kissii)
Hospital referenceCampaignNyanza (KAIS)
CD4+ cell count frequency distribution (Hospital reference, Campaign, KAIS)
Modeled impact of campaign approach for Nyanza Province
Percent of HIV positive population
Number started on ART
EstimatedHIV transmissions averted
Deaths averteddirectly
TB cases averted per year
CD4< 200 8% 24,000 5,000 24,000 2,400
CD4 <350 26% 76,000 27,000 76,000 3,600
Immediate 90% 268,000 241,000 268,000 4,700
Conclusions
• Integrated campaigns have a significant potential to bring services to people where they live– Possible to bring CD4 technology to the community
• Improved access translates into earlier HIV diagnosis
• Early HIV diagnosis has significant prevention, care and treatment benefits
• To reach Universal Access and achieve MDGs we will need to expand access to HIV services in the community
People of Kisii town and surrounding areas Nicolas Muraguri (MoH Kenya)Alex Doyen (Vestergaard Frandsen)Navneet Garg (Vestergaard Frandsen)Brian Williams (SACEMA)MoH Kenya staffVestergaard Frandsen
Thank you
Public health is purchasable. Within a few natural and important limitations any community can determine its own health.
--Hermann M. Biggs(29 Sep 1859 - 28 Jun 1923)New York City's Public Health Officer and public health pioneer