Title: HIV partner notification: which interviews yield the most new positive partners in NYC
1HIV partner notification which interviews yield
the most new positive partners in NYC?
- Angelica Bocour, Chi-Chi Udeagu, Rodolfo
Gutierrez, Yasmin Ramos, Tamar Renaud, Elizabeth
Begier
NYC Department of Health and Mental Hygiene (NYC
DOHMH) Bureau of HIV/AIDS Prevention and
Control HIV Epidemiology and Field Services
Program
2(No Transcript)
3HIV/AIDS in NYC, 2006
- 3,745 new HIV diagnoses
- Median Age at HIV diagnosis 37
- 7 IDU
- 27 Foreign-born
Sex
Race/Ethnicity
Other 2
MSM 53
White 16
Male 73
Black 51
Hispanic 31
Female 27
4NYC Public Health Issues
- Persistent problem of late HIV diagnosis
- 26 newly diagnosed HIV concurrent with AIDS
- Delayed linkage to care
- 25 with no VL/CD4 1 year after initial
diagnosis - Untreated patients have poorer health outcomes
and higher viral loads increasing transmission
risk - Partner notification outside city-run STD clinics
was limited
5Field Services Unit (FSU)
- FSU staff based in 8 large hospitals in areas of
high HIV prevalence and mortality - FSU partner counseling and referral services
(PCRS) steps
negative or unknown serostatus
Offered HIV testing
New HIV partner
Interview with HIV person
Partner elicitation
Partner notification
Linked to care
self discloses HIV
6Rationale for Partner Counseling and Referral
Services (PCRS)
- Nearly every person diagnosed with HIV infection
has at least one sex/needle sharing partner - Cost effective way to identify new cases
- Especially where testing programs have lt1
seroprevalence - Provider/health department notification delivery
identifies more HIV cases than notification
conducted by index cases
7Objectives of PCRS
- Case finding partner notification identifies
previously undiagnosed HIV persons - Improve health outcomes by linking HIV persons
to care - Prevent new infections by providing risk
reduction education
8Study Objective
- Identify which index case interviews result in
the most newly diagnosed partners
9Study Methods
- Outcome Measure Number needed to be interviewed
to identify one newly diagnosed HIV-infected
partner (NNTI) - NNTI Interviewed cases/newly diagnosed partners
- Calculated overall and by index case
characteristics - NNTI lower with more efficient case-finding
- Chi-squared or Fischer exact test to identify
significant differences
10Study PopulationFSU Index Patient
CharacteristicsReported July 2006November 2007
NYC data limited to new 2006 diagnoses. FSU
data represents all patients interviewed (new
and prevalent cases)
11NNTI (number needed to interview)Overall and by
Sex and Age
12NNTI (number needed to interview)Race and Time
from Diagnosis
13NNTI (number needed to interview)Transmission
Risk
14Summary Highest yield interviews
- PCRS interviews with following index cases more
likely to result in newly diagnosed partner - Men
- Persons under 40 years old
- Hispanics
- Persons recently diagnosed
15Potential Reasons for Lower NNTI (I)
- Men
- More likely to transmit HIV because more likely
to engage in insertive sex - Recent resurgence in NYC MSM epidemic
- Persons under 40 years old of age
- More sexual partners than older people
16Potential Reasons for Lower NNTI (II)
- Hispanics
- Increased trust in healthcare system
- Better rapport with largely Hispanic staff FSU
- Recently diagnosed with HIV infection
- Better recall of more recent partners
- Reduced risk behavior after diagnosis results in
fewer recent exposed partners
17Limitations
- Multivariate analyses limited by rare outcome but
are currently being explored - Limited qualitative data on why partners not
named to explain differences observed - Focused on areas hardest hit by epidemic so might
not be generalizable to entire city
18Next steps
- Expansion plans focus on facilities reporting
large numbers of men - Patient focus groups and interviews to understand
differences between blacks and Hispanics - Patients diagnosed gt2 years prior to report not
interviewed unless provider requests
19Conclusion
- Analysis of case-finding by index case
characteristics can guide PCRS program
improvement
20Acknowledgments
21Additional Slides
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28NNTI-Age x Time from Diagnosis
29NNTI-Race x Sex
30NNTI-Race x Time from Diagnosis
31NNTI-Age x Sex
32NNTI-Race x Age
33NNTI-Time from Diagnosis x Sex
34Prevalent Partners by Age
P0.003
35Prevalent Partners by Time from Diagnosis
P0.01
36Number of Partners by Age
Plt.0001