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Intensifying HIV Prevention in the
    Communities Where HIV is
   Most Heavily Concentrated
           Moupali Das, MD, MPH
  San Francisco Department of Public Health
Chicago MD




                                        NYC MD




                                       Baltimore MD

                              Atlanta MSA

                          Ft. Lauderdale MSA

                                Miami MSA




Houston MD
“Test & Treat,” or “High-Impact Combination
      Prevention,” or the “Medical Model”….
                  “Medical Ethics and the Rights of
       People                 with HIV Under Assault”
       by Sean Strub




“Going too far to battle AIDS? Drug experiment on blacks looms in Washington,
D.C.” by Terry Michael Washington Post March 17 2010
In Memoriam:
MT, 1969-2011
Continuum of HIV Prevention, Care and
             Treatment:
     The Implementation Cascade

 Testing                     Primary Care      Treatment        Virologic    HIV
            Diagnosis
                                                                 Suppression


                        Linkage        Engagement /    Engagement /
                                         Retention       Retention
San Francisco’s Approach to Maximizing the
         Continuum of Prevention, Care and Treatment
 Primary
Prevention
  Efforts
                                                                                                                      HIV
                                                                                                         Virologic
                     Testing                Diagnosis             Primary Care      Treatment         Suppression
• PrEP, PEP,
  condoms,
  syringes                                               Linkage            Engagement      Engagement
• Drivers                                                                   / Retention     / Retention
1. Substance
   use
2. Alcohol
3. Meth
4. Crack             Routine                                        Mental Health                  Treatment
5. Poppers                                                             Services                     Adherence
                       Medical
6. STDs, # of          Testing
   partners                                                          Substance Use                 Medical Case
                                                                       Treatment                   Management
                                Linkage
                Community        & Partner                              Housing                   ART Guidelines
                  Testing        Services                               Support                      Uptake

                                                                                                      STD &
                                                                                                       PCSI

                                      SFDPH Positive Health Access to                              Engagement &
                                      Services and Treatment (PHAST)                              Partner Services



                            Community Viral Load: Unified Marker of Prevention and Treatment
Exciting Advances in HIV Prevention,
   Care, Treatment, and (Cure?!)
Major Gaps in the Implementation Cascade
1,200,000
                       100%

1,000,000
                                  79%
   800,000
                                            59%
   600,000
                     1,106,400
                                                      40%
   400,000                       874,056
                                                                32%
                                           655,542                        24%
                                                                                     19%
   200,000                                           437,028
                                                               349,622
                                                                         262,217   209,773
              0




Gardner, et al. CID, 2011.
We Can and Must Do Better!
• Mean/Median CD4 at
  diagnosis in SF: 400s
• U.S. Median still less than 200
• Most people meet criteria for
  treatment by the DHHS
  guidelines at Dx
• 20% still do not know HIV
  status
• % lost before linkage
• % lost during care
• ADAP waiting lists
• % not virologically suppressed
  for individual and community
  benefit
San Francisco’s Approach to Maximizing the
         Continuum of Prevention, Care and Treatment
 Primary
Prevention
  Efforts
                                                                                                                      HIV
                                                                                                         Virologic
                     Testing                Diagnosis             Primary Care      Treatment         Suppression
• PrEP, PEP,
  condoms,
  syringes                                               Linkage            Engagement      Engagement
• Drivers                                                                   / Retention     / Retention
1. Substance
   use
2. Alcohol
3. Meth
4. Crack             Routine                                        Mental Health                  Treatment
5. Poppers                                                             Services                     Adherence
                       Medical
6. STDs, # of          Testing
   partners                                                          Substance Use                 Medical Case
                                                                       Treatment                   Management
                                Linkage
                Community        & Partner                              Housing                   ART Guidelines
                  Testing        Services                               Support                      Uptake

                                                                                                      STD &
                                                                                                       PCSI

                                      SFDPH Positive Health Access to                              Engagement &
                                      Services and Treatment (PHAST)                              Partner Services
Universal OFFER of ART on Ward 86 and all SFDPH
               Community Health Clinics
          “All patients, regardless of CD4 count, will be evaluated for
                    initiation of antiretroviral therapy (ART)”
          Decision to start ART made by the individual in conjunction
                                 with the provider




Slide modified from slide courtesy of Brad Hare, SFGH Community Forum
Simply Testing and Treating will not
               eliminate the epidemic...




Coates. Lancet, 2008.
Treatment is Prevention
Substance Use Treatment is Prevention
Mental Health Treatment is Prevention
Housing is Prevention
Food Security is Prevention
“Si-w bay medikaman san manje, se
        lave men, siye até”




  "Giving drugs without food is
  like washing your hands and
     drying them in the dirt."
The data are in hand…

“But once the data are in hand, it is the failure to
use those data for public health purposes that must
be justified.” (Fairchild and Bayer, 2007)
• Surveillance data and other programmatic data
  should be used to monitor and evaluate, and for
  real-time continuous quality improvement
  – Prior diagnosis
  – Current and past location of care: Medical records
  – Treatment history, co-infections, resistance
San Francisco’s Approach to Using the Data in Hand
     to Evaluate the Implementation Cascade

                Median CD4      % Linked to      Median CD4
                   at HIV      Care within 3                     % Engaged     % Virologic
                                                    at ART
                 diagnosis     Months of Dx                       in Care      Suppression
                                                  initiation

               Time to ART Initiation

               Time to Virologic Suppression
                                                                                               HIV
             Diagnosis            Primary Care          Treatment                Virologic
Testing                                                                         Suppression

                                                   Engagement          Engagement
                                    Linkage
                                                   / Retention         / Retention




             Community Viral Load: Unified
           Marker of Prevention and Treatment
Months from Diagnosis to Start of ART and from
          diagnosis to Suppression
          0         5           10            15       20          25           30            35


   2004
                                        N=352
                                                                                     N=454

   2005
                                     N=283
                                                                        N=384

   2006
                             N=213
                                                    N=329

   2007
                     N=138
                                       N=296

   2008
                N=135
                            N=212



      Months from diagnosis to start of ART        Months from HIV diagnosis to suppression
                                                             Das et al CROI 2011
6 month, 12 month Virologic Suppression                                      6 month, 12 month Virologic Suppression Rates
 Rates (viral load <75) by year of diagnosis                                  (viral load <75) by year of diagnosis among all
 among those who achieved suppression^                                        newly diagnosed and reported cases*

                p<0.001                                                                 p<0.001
    80%                                                                         80%


    60%                                                                         60%




                                                                      N=212




                                                                                                                                         N=212
                                                                                                                             N=296
    40%                                                                         40%
                                                      N=296




                                                                                                             N=329




                                                                                                                                     N=135
                                                              N=135




                                                                                                                     N=138
                                                                                        N=454




                                                                                                          N=213
                                                                                                  N=384
                                      N=329




                                                                                       N=352
    20%                                                                         20%
                                              N=138




                                                                                                N=283
                N=454


                           N=384

                                   N=213
               N=352


                          N=283




      0%                                                                         0%
               2004       2005     2006       2007            2008                     2004     2005      2006       2007            2008
                     % suppressed within 6 months                                          % suppressed within 6 months
                     % suppressed within 12 months                                         % suppressed within 12 months

 ^These data are among cases with a viral                                      *Cases with no viral load data were
 load and who were suppressed                                                  designated unsuppressed
Das, et al. CROI, 2011.
Greatest Population-Level Impact:
             Community-Level Harm Reduction




Frieden. AJPH. April, 2010.
Minimum, Most Recent, Maximum CVL and
              Newly Diagnosed and Reported HIV cases

   45,000                                               1000
                   864
                          737                           800    Minimum CVL
                                                               (p=0.003)
   30,000                       590   588   540         600
                                                  506          Most recent CVL
                                                               (p<0.001)
                                                        400
   15,000
                                                               Maximum CVL
                                                        200    (p=0.01)

          0                                             0
                 2004 2005 2006 2007 2008 2009


Das, et al. CROI, 2011.
Community Viral Load Disparities




                 • Even in relatively richly-resourced San
                   Francisco, disparities in CVL track with
                   poor 5-year survival and neighborhood
                   concentration of poverty
                 • CVL may be a useful marker for public
                   health departments to target
                   resources and address geographic
                   disparities in HIV transmission and
                   survival
CVL Disparities, SF 2004-2008
             Overall                       N            (%)        Mean CVL*
                 San Francisco           12,512        (100)        23,348
           Sub-groups                      N            (%)        Mean CVL*
                        Latino            1822          (15)        26,744
             African-American             1825          (15)        26,404
                       Women              786            (6)        27,614
                  Transgender             291            (2)        64,160
                           IDU            1011           (8)        33,245
                     MSM-IDU              1791          (14)        36,261
             Not on treatment             2924          (23)        40,056
           Not engaged in care            4637          (37)        36,992
*(p<0.001 by Kruskal-Wallis test) in mean CVL by treatment history, race/ethnicity,
age, gender, HIV transmission risk category, insurance status, and clinical status.
Recommended Action
Measure and utilize community viral load: Ensure that all high prevalence localities
are able to collect data necessary to calculate community viral load, measure the
viral load in specific communities, and reduce viral load in those communities where
HIV incidence is high.
CVL: New York & Washington D.C.




Laraque, et al. CROI, 2011. Abstract #1024.   Castel, et al. CROI, 2011. Abstract #1023.
U.S. HIV Incidence, 2006-2009
   120

   100

     80

     60

     40                                         2006
                                                2007
     20
                                                2008
       0                                        2009




Prejean, et al. PLoS One, 2011.
The Legacy and the Future
Acknowledgments
  People living with HIV/AIDS in San Francisco




SFDPH                                     UCSF
Priscilla Chu, Glenn-Milo Santos, Susan   Diane Havlir, Brad Hare, Steve Deeks, Edwin
Scheer, Willi McFarland, Grant Colfax,       Charlebois, Steve Morin, Eric Vittinghoff
Annie Vu, H. Fisher Raymond, Israel       CDC
                                          Candice Kwan, Kate Buchaz, Greg Millet, CVL
Nieves-Rivera, Isela Gonzalez, Tracey        Working Group Members, Thomas Frieden
Packer, Dara Geckeler, Bill Blum, Susan   Univ of Miami
Philip, Stephanie Cohen, Tomas Aragon,    Lisa Metsch
Barbara Garcia, Mitch Katz

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1 mon 0900 das hiv prevention final 8.15.2011

  • 1. Intensifying HIV Prevention in the Communities Where HIV is Most Heavily Concentrated Moupali Das, MD, MPH San Francisco Department of Public Health
  • 2. Chicago MD NYC MD Baltimore MD Atlanta MSA Ft. Lauderdale MSA Miami MSA Houston MD
  • 3. “Test & Treat,” or “High-Impact Combination Prevention,” or the “Medical Model”…. “Medical Ethics and the Rights of People with HIV Under Assault” by Sean Strub “Going too far to battle AIDS? Drug experiment on blacks looms in Washington, D.C.” by Terry Michael Washington Post March 17 2010
  • 5. Continuum of HIV Prevention, Care and Treatment: The Implementation Cascade Testing Primary Care Treatment Virologic HIV Diagnosis Suppression Linkage Engagement / Engagement / Retention Retention
  • 6. San Francisco’s Approach to Maximizing the Continuum of Prevention, Care and Treatment Primary Prevention Efforts HIV Virologic Testing Diagnosis Primary Care Treatment Suppression • PrEP, PEP, condoms, syringes Linkage Engagement Engagement • Drivers / Retention / Retention 1. Substance use 2. Alcohol 3. Meth 4. Crack Routine Mental Health Treatment 5. Poppers Services Adherence Medical 6. STDs, # of Testing partners Substance Use Medical Case Treatment Management  Linkage Community & Partner Housing ART Guidelines Testing Services Support Uptake STD & PCSI SFDPH Positive Health Access to Engagement & Services and Treatment (PHAST) Partner Services Community Viral Load: Unified Marker of Prevention and Treatment
  • 7. Exciting Advances in HIV Prevention, Care, Treatment, and (Cure?!)
  • 8. Major Gaps in the Implementation Cascade 1,200,000 100% 1,000,000 79% 800,000 59% 600,000 1,106,400 40% 400,000 874,056 32% 655,542 24% 19% 200,000 437,028 349,622 262,217 209,773 0 Gardner, et al. CID, 2011.
  • 9. We Can and Must Do Better! • Mean/Median CD4 at diagnosis in SF: 400s • U.S. Median still less than 200 • Most people meet criteria for treatment by the DHHS guidelines at Dx • 20% still do not know HIV status • % lost before linkage • % lost during care • ADAP waiting lists • % not virologically suppressed for individual and community benefit
  • 10. San Francisco’s Approach to Maximizing the Continuum of Prevention, Care and Treatment Primary Prevention Efforts HIV Virologic Testing Diagnosis Primary Care Treatment Suppression • PrEP, PEP, condoms, syringes Linkage Engagement Engagement • Drivers / Retention / Retention 1. Substance use 2. Alcohol 3. Meth 4. Crack Routine Mental Health Treatment 5. Poppers Services Adherence Medical 6. STDs, # of Testing partners Substance Use Medical Case Treatment Management  Linkage Community & Partner Housing ART Guidelines Testing Services Support Uptake STD & PCSI SFDPH Positive Health Access to Engagement & Services and Treatment (PHAST) Partner Services
  • 11. Universal OFFER of ART on Ward 86 and all SFDPH Community Health Clinics “All patients, regardless of CD4 count, will be evaluated for initiation of antiretroviral therapy (ART)” Decision to start ART made by the individual in conjunction with the provider Slide modified from slide courtesy of Brad Hare, SFGH Community Forum
  • 12. Simply Testing and Treating will not eliminate the epidemic... Coates. Lancet, 2008.
  • 14. Substance Use Treatment is Prevention
  • 15. Mental Health Treatment is Prevention
  • 17. Food Security is Prevention
  • 18. “Si-w bay medikaman san manje, se lave men, siye até” "Giving drugs without food is like washing your hands and drying them in the dirt."
  • 19. The data are in hand… “But once the data are in hand, it is the failure to use those data for public health purposes that must be justified.” (Fairchild and Bayer, 2007) • Surveillance data and other programmatic data should be used to monitor and evaluate, and for real-time continuous quality improvement – Prior diagnosis – Current and past location of care: Medical records – Treatment history, co-infections, resistance
  • 20. San Francisco’s Approach to Using the Data in Hand to Evaluate the Implementation Cascade Median CD4 % Linked to Median CD4 at HIV Care within 3 % Engaged % Virologic at ART diagnosis Months of Dx in Care Suppression initiation Time to ART Initiation Time to Virologic Suppression HIV Diagnosis Primary Care Treatment Virologic Testing Suppression Engagement Engagement Linkage / Retention / Retention Community Viral Load: Unified Marker of Prevention and Treatment
  • 21. Months from Diagnosis to Start of ART and from diagnosis to Suppression 0 5 10 15 20 25 30 35 2004 N=352 N=454 2005 N=283 N=384 2006 N=213 N=329 2007 N=138 N=296 2008 N=135 N=212 Months from diagnosis to start of ART Months from HIV diagnosis to suppression Das et al CROI 2011
  • 22. 6 month, 12 month Virologic Suppression 6 month, 12 month Virologic Suppression Rates Rates (viral load <75) by year of diagnosis (viral load <75) by year of diagnosis among all among those who achieved suppression^ newly diagnosed and reported cases* p<0.001 p<0.001 80% 80% 60% 60% N=212 N=212 N=296 40% 40% N=296 N=329 N=135 N=135 N=138 N=454 N=213 N=384 N=329 N=352 20% 20% N=138 N=283 N=454 N=384 N=213 N=352 N=283 0% 0% 2004 2005 2006 2007 2008 2004 2005 2006 2007 2008 % suppressed within 6 months % suppressed within 6 months % suppressed within 12 months % suppressed within 12 months ^These data are among cases with a viral *Cases with no viral load data were load and who were suppressed designated unsuppressed Das, et al. CROI, 2011.
  • 23. Greatest Population-Level Impact: Community-Level Harm Reduction Frieden. AJPH. April, 2010.
  • 24. Minimum, Most Recent, Maximum CVL and Newly Diagnosed and Reported HIV cases 45,000 1000 864 737 800 Minimum CVL (p=0.003) 30,000 590 588 540 600 506 Most recent CVL (p<0.001) 400 15,000 Maximum CVL 200 (p=0.01) 0 0 2004 2005 2006 2007 2008 2009 Das, et al. CROI, 2011.
  • 25. Community Viral Load Disparities • Even in relatively richly-resourced San Francisco, disparities in CVL track with poor 5-year survival and neighborhood concentration of poverty • CVL may be a useful marker for public health departments to target resources and address geographic disparities in HIV transmission and survival
  • 26. CVL Disparities, SF 2004-2008 Overall N (%) Mean CVL* San Francisco 12,512 (100) 23,348 Sub-groups N (%) Mean CVL* Latino 1822 (15) 26,744 African-American 1825 (15) 26,404 Women 786 (6) 27,614 Transgender 291 (2) 64,160 IDU 1011 (8) 33,245 MSM-IDU 1791 (14) 36,261 Not on treatment 2924 (23) 40,056 Not engaged in care 4637 (37) 36,992 *(p<0.001 by Kruskal-Wallis test) in mean CVL by treatment history, race/ethnicity, age, gender, HIV transmission risk category, insurance status, and clinical status.
  • 27. Recommended Action Measure and utilize community viral load: Ensure that all high prevalence localities are able to collect data necessary to calculate community viral load, measure the viral load in specific communities, and reduce viral load in those communities where HIV incidence is high.
  • 28. CVL: New York & Washington D.C. Laraque, et al. CROI, 2011. Abstract #1024. Castel, et al. CROI, 2011. Abstract #1023.
  • 29. U.S. HIV Incidence, 2006-2009 120 100 80 60 40 2006 2007 20 2008 0 2009 Prejean, et al. PLoS One, 2011.
  • 30. The Legacy and the Future
  • 31. Acknowledgments People living with HIV/AIDS in San Francisco SFDPH UCSF Priscilla Chu, Glenn-Milo Santos, Susan Diane Havlir, Brad Hare, Steve Deeks, Edwin Scheer, Willi McFarland, Grant Colfax, Charlebois, Steve Morin, Eric Vittinghoff Annie Vu, H. Fisher Raymond, Israel CDC Candice Kwan, Kate Buchaz, Greg Millet, CVL Nieves-Rivera, Isela Gonzalez, Tracey Working Group Members, Thomas Frieden Packer, Dara Geckeler, Bill Blum, Susan Univ of Miami Philip, Stephanie Cohen, Tomas Aragon, Lisa Metsch Barbara Garcia, Mitch Katz