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Implementing Combination
  Prevention Technologies:
The New York City Experience

      M. Monica Sweeney, MD, MPH
      Assistant Commissioner
      Bureau of HIV/AIDS Prevention & Control
      SYNChronicity
      The State of the Science: Combination Prevention
      Technologies
      April 20, 2012
New Prevention Strategies for a
          New Era




  IBM, 1980s            iPad 3, 2012
We must use, deliver and bring to scale the full range of tools
         available for addressing HIV prevention




                Note: PMTCT, Screening transfusions, Harm reduction, Universal precautions, etc. have not been included – this is focused
                on reducing sexual transmission
Structural Interventions that Impact Health Outcomes
                                                   Examples
Smallest                  Counseling           Condoms, eat healthy, be
 Impact                       &                physically active
                          Education

                                               Rx for high blood
                        Clinical               pressure, high
                     Interventions             cholesterol, depression

                                               Immunizations, brief
                     Long-lasting              intervention, cessation
                                               treatment, colonoscopy
                Protective Interventions
                                               Fluoridation, 0g trans fat,
                Changing the Context           iodization, smoke-free
                to make individuals’ default   laws, tobacco tax
                     decisions healthy
                                               Poverty, education,
                                               housing
                Socioeconomic Factors
Largest
Impact
Health Belief Model
       Individual                    Modifying Factors                Likelihood of Action
      Perceptions
                                     Demographic variable              Perceived benefits of
                                 (age, sex, race, ethnicity, etc.)     preventative action
                                 Socio-psychological variables                minus
                                                                       Perceived barriers to
Perceived Susceptibility to
                                                                        preventative action
       Disease “X”

  Perceived Severity of
      Disease “X”                    Perceived Threat of
                                         Disease “X”                    Likelihood of Taking
                                                                     Recommended Preventative
                                                                           Health Action

                                          Cues to Action
                                •Mass Media Campaign
                                •Advice from others
                                •Illness of family member or
                                friend
                                •Newspaper/magazine article
A Model: The Perceived Potential Reach and Impact of
                   Various Prevention Strategies
                                                                                      Number of people reached

             General Media Campaigns National 
               General Media Campaigns Local 
      Targeted Media Campaigns for sub-populations 

               *Community Level Interventions (CLI’s)
    (e.g., DEBI’s: Community Promise, Popular Opinion Leader,) 


            General Audience *Group Level Interventions (GLIs)
                    (e.g., General Awareness workshops) 

                   Targeted GLIs for sub-populations
   (e.g., Health Relationships, SISTA, Street Smart, Safety Counts) 
Brief *Individual Level Intervention (ILIs) –trained providers 



                      Ongoing ILIs- trained provider
               (e.g., Counseling with a trusted expert) 


                                                                      Extent of Tailoring for Personal Impact
                 (Adapted from model by Robert Zielony, Ph.D. 2010)
Social Media & HIV Prevention at the New York
City Department of Health and Mental Hygiene
NYC Condom Finder Application

• Available on Apple iPhone, Android Phone, Microsoft Phone,
  and BlackBerry
Youth Risk Behavior Survey,
        Condom Use at Last Sex, 1999-2009




U.S. data adapted from: Centers for Disease Control and Prevention (CDC). 1991-2009 High School Youth Risk Behavior Survey Data.
Available at http://apps.nccd.cdc.gov/youthonline. Accessed on April 16, 2012; *sample limited to public school students attending school the
day survey was administered
Remember to Visit & Download…

    facebook.com/NYCcondo
    m


    The NYC Condom Finder Application
    →Search “find condoms”
HIV Testing
Technologies
HIV Tests That Produces Results in 60
              Minutes or Less
• Rapid point-of-care test
• Enzyme Immunoassays (EIAs)
Testing for HIV Virus
       Nucleic acid amplification tests (NAAT)

• Aptima HIV-1 RNA Qualitative Assay
  – Only FDA-approved test to diagnose Acute HIV Infection


• Other HIV NAAT/PCR tests can detect
  HIV virus
  – Quantitative tests (HIV viral load tests)
  – FDA-approved for monitoring status of HIV disease and for
    guiding therapeutic recommendations
Treatment Recommendations




 NYT article: http://www.nytimes.com/2011/12/01/nyregion/to-stop-aids-nyc-wants-drugs-given-sooner-for-hiv.html?_r=1
Offer Treatment, Regardless of CD4 Count
nPEP
non- occupational Post Exposure Prophylaxis
Acknowledgments
THANK YOU!

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State of the science sweeny

  • 1. Implementing Combination Prevention Technologies: The New York City Experience M. Monica Sweeney, MD, MPH Assistant Commissioner Bureau of HIV/AIDS Prevention & Control SYNChronicity The State of the Science: Combination Prevention Technologies April 20, 2012
  • 2. New Prevention Strategies for a New Era IBM, 1980s iPad 3, 2012
  • 3. We must use, deliver and bring to scale the full range of tools available for addressing HIV prevention Note: PMTCT, Screening transfusions, Harm reduction, Universal precautions, etc. have not been included – this is focused on reducing sexual transmission
  • 4. Structural Interventions that Impact Health Outcomes Examples Smallest Counseling Condoms, eat healthy, be Impact & physically active Education Rx for high blood Clinical pressure, high Interventions cholesterol, depression Immunizations, brief Long-lasting intervention, cessation treatment, colonoscopy Protective Interventions Fluoridation, 0g trans fat, Changing the Context iodization, smoke-free to make individuals’ default laws, tobacco tax decisions healthy Poverty, education, housing Socioeconomic Factors Largest Impact
  • 5. Health Belief Model Individual Modifying Factors Likelihood of Action Perceptions Demographic variable Perceived benefits of (age, sex, race, ethnicity, etc.) preventative action Socio-psychological variables minus Perceived barriers to Perceived Susceptibility to preventative action Disease “X” Perceived Severity of Disease “X” Perceived Threat of Disease “X” Likelihood of Taking Recommended Preventative Health Action Cues to Action •Mass Media Campaign •Advice from others •Illness of family member or friend •Newspaper/magazine article
  • 6. A Model: The Perceived Potential Reach and Impact of Various Prevention Strategies Number of people reached General Media Campaigns National  General Media Campaigns Local  Targeted Media Campaigns for sub-populations  *Community Level Interventions (CLI’s) (e.g., DEBI’s: Community Promise, Popular Opinion Leader,)  General Audience *Group Level Interventions (GLIs) (e.g., General Awareness workshops)  Targeted GLIs for sub-populations (e.g., Health Relationships, SISTA, Street Smart, Safety Counts)  Brief *Individual Level Intervention (ILIs) –trained providers  Ongoing ILIs- trained provider (e.g., Counseling with a trusted expert)  Extent of Tailoring for Personal Impact (Adapted from model by Robert Zielony, Ph.D. 2010)
  • 7.
  • 8. Social Media & HIV Prevention at the New York City Department of Health and Mental Hygiene
  • 9. NYC Condom Finder Application • Available on Apple iPhone, Android Phone, Microsoft Phone, and BlackBerry
  • 10.
  • 11. Youth Risk Behavior Survey, Condom Use at Last Sex, 1999-2009 U.S. data adapted from: Centers for Disease Control and Prevention (CDC). 1991-2009 High School Youth Risk Behavior Survey Data. Available at http://apps.nccd.cdc.gov/youthonline. Accessed on April 16, 2012; *sample limited to public school students attending school the day survey was administered
  • 12. Remember to Visit & Download… facebook.com/NYCcondo m The NYC Condom Finder Application →Search “find condoms”
  • 14. HIV Tests That Produces Results in 60 Minutes or Less • Rapid point-of-care test • Enzyme Immunoassays (EIAs)
  • 15. Testing for HIV Virus Nucleic acid amplification tests (NAAT) • Aptima HIV-1 RNA Qualitative Assay – Only FDA-approved test to diagnose Acute HIV Infection • Other HIV NAAT/PCR tests can detect HIV virus – Quantitative tests (HIV viral load tests) – FDA-approved for monitoring status of HIV disease and for guiding therapeutic recommendations
  • 16.
  • 17.
  • 18. Treatment Recommendations NYT article: http://www.nytimes.com/2011/12/01/nyregion/to-stop-aids-nyc-wants-drugs-given-sooner-for-hiv.html?_r=1
  • 20. nPEP non- occupational Post Exposure Prophylaxis

Editor's Notes

  1. Well, some of you may remember way back in 1985, the year of the first licensed HIV test, that the Compaq Portable was another unique tool of the day. It was sleek, it was slick and it was a STRATEGY to get the information you needed. But those days are long gone. You wouldn ’t be caught dead with a compaq portable today. We have been quick to embrace new strategies on the therapeutics side of the equation, but we must equally embrace new strategies on the PREVENTION side.
  2. CLI = Community Level Intervention GLI = Group Level Intervention ILI = Individual Level Intervention As the Interventions become more tailored for personal impact, there may well be greater depth of impact, but less reach in numbers. As the interventions are more designed for population level e.g., media focus, greater numbers may be reached, but there may be less personalized impact, and therefore perhaps less depth of psychological relevance and specificity. COMMENTS: AN EXAMPLE OF A CLI, A GLI AND AN ILI WOULD HELP GROUND THIS DISCUSSION. CAN YOU CITE A FEW GOOD ONES AND SHOW RESULTS? [THIS IS ADAPTED FROM A COLLEAGUE ’S MODEL—MAINLY SHOWN TO ILLUSTRATE THE POWER OF USING LARGER MEDIA CAMPAIGNS; Examples of each are listed underneath and will be discussed—for CLI and GLI—later in the ppt]
  3. Pew Internet & American Life Project: Mobile Health 2010 (October 2010) 83% of internet users have looked online for health information 85% of adults use cell phones, of cell phone users 17% have used their phone to look up health or medical information and 29% of cell owners ages 18-29 have done such searches. This report is based on the findings of a daily tracking survey on Americans' use of the Internet. The results in this report are based on data from telephone interviews conducted by Princeton Survey Research Associates International between August 9 and September 13, 2010, among a sample of 3,001 adults, age 18 and older. “ The Empowered Patient” on CNN asked Google and Yahoo to tell us what health information you’re looking for, both on computers and on mobile phones. There was a pretty clear difference between what you want to know when you’re at your desk versus on your phone. On mobile phones (Yahoo ’s data) Three out of five most popular health searches on cell phones have to do with sex: Pregnancy / Herpes / STD On computers Sex-related searches do not show up on Google or Yahoo ’s list of top five health searches “ Pregnancy” is #7 on Yahoo’s list “ Herpes” is #10 on Google’s list
  4. February 21, 2006
  5. February 21, 2006
  6. -This led us (the Department of Health) to release city-wide recommendations encouraging all medical providers treating HIV patients to offer antiretroviral treatment to all their HIV patients regardless of their CD4 cell counts. New York City has long been the epicenter of HIV and currently has more AIDS cases than Los Angeles, San Francisco, and Washington, D.C., combined. With more than 110,000 New Yorkers currently living with HIV—almost three times the national average—and diseases associated with HIV the 3 rd leading cause of death for NYC residents between 35-54—this new treatment recommendation is one more tool we can utilize to end HIV
  7. nPEP Non-occupational Post-Exposure Prophylaxis (nPEP) is treatment for a possible exposure to HIV outside of a health care setting. nPEP involves the use of antiretroviral drugs as soon as possible after a high-risk exposure to HIV, to reduce (but not eliminate) the possibility of HIV infection. nPEP is not the “morning after pill” for HIV. nPEP is a four-week program of two or three antiretroviral medications, several times a day. The medications have serious side effects that can make it difficult to finish the program. Treatment should be started promptly, preferably within the first several hours after an exposure. It should be administered within 48 hours of a high-risk exposure (not to exceed 72 hours). After 72 hours nPEP is considerably less effective in preventing HIV infection. The sooner nPEP is administered, the more effective it is. NYC DOH—offers @ 3 sites