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HIV partner notification: which interviews yield the most new positive partners in NYC

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American Journal of Public Health 1997;87(11):1173-1178. Brandon DT, Isaac LA, LaVeist TA. ... American Journal of Public Health 2006;96(4):716-721. ... – PowerPoint PPT presentation

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Title: HIV partner notification: which interviews yield the most new positive partners in NYC


1
HIV 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)
3
HIV/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
4
NYC 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

5
Field 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
6
Rationale 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

7
Objectives 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

8
Study Objective
  • Identify which index case interviews result in
    the most newly diagnosed partners

9
Study 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

10
Study PopulationFSU Index Patient
CharacteristicsReported July 2006November 2007
NYC data limited to new 2006 diagnoses. FSU
data represents all patients interviewed (new
and prevalent cases)
11
NNTI (number needed to interview)Overall and by
Sex and Age
12
NNTI (number needed to interview)Race and Time
from Diagnosis
13
NNTI (number needed to interview)Transmission
Risk
14
Summary 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

15
Potential 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

16
Potential 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

17
Limitations
  • 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

18
Next 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

19
Conclusion
  • Analysis of case-finding by index case
    characteristics can guide PCRS program
    improvement

20
Acknowledgments
  • Field Services Unit

21
Additional Slides
22
ReferencesCost-effectiveness of Partner
Notification
  • Varghese B, Peterman TA, Holtgrave DR.
    Cost-effectiveness of counseling and testing and
    partner notification a decision analysis. AIDS
    199913(13)1745-1751.
  • Ahren, K, Kent CK, Kohn RP, Nieri G, Reynolds A,
    Philip, S, Klausner, JD. HIV partner notification
    outcomes for HIV-infected patients by duration of
    infection, San Francisco 2004 to 2006. JAIDS
    200746(4)479-484.
  • Cohen DA, Wu S, Farley TA. Comparing the
    cost-effectiveness of HIV prevention
    interventions. J Acquir Immune Defic Syndr
    2004341404-1414.
  • Cohen DA, Wu S, Farley TA. Cost-effective
    allocation of government funds to prevention HIV
    infection. Health Affiars 200524915-926.

23
ReferencesProvider vs. Patient Partner
Notification
  • Task Force on Community Preventive Services.
    Recommendations to increase testing and
    identification of HIV-positive individuals
    through partner counseling and referral services.
    American Journal of Preventive Medicine
    200733(2S)S88.
  • Landis SE, Schoenbach VJ, Weber DJ, Mittal M,
    Krishan B, Lewis K, et al. Results of a
    randomized trial of partner notification in cases
    of HIV infection in North Carolina. New England
    Journal of Medicine 1992326(2)101-106.

24
ReferencesDistrust
  • Corbie-Smith G, Thomas SB, St George DM.
    Distrust, race, and research. Arch Intern Med
    2002162(21)2458-63.
  • Gamble VN. Under the shadow of Tuskegee African
    Americans and health care. American Journal of
    Public Health 199787(11)1173-1178.
  • Brandon DT, Isaac LA, LaVeist TA. The legacy of
    Tuskegee and trust in medical care is Tuskegee
    responsible for race differences in mistrust of
    medical care? J Natl Med Assoc 200597(7)951-6.
  • Moutsiakis DL, Chin PN. Why blacks do not take
    part in HIV vaccine trials. J Natl Med Assoc
    200799(3)254-7.
  • Sengupta S, Strauss RP, DeVellis R, Quinn SC,
    DeVellis B, Ware WB. Factors affecting
    African-American participation in AIDS research.
    Journal of Acquired Immune Deficiency Syndrome
    200024275-284.

25
ReferencesDistrust
  • Whetten K, Leserman J, Whetten R, Ostermann J,
    Thielman N, Swartz M, et al. Exploring lack of
    trust in care providers and the government as a
    barrier to health service use. American Journal
    of Public Health 200696(4)716-721.
  • Bogart L, Thorburn S. Are HIV/AIDS conspiracy
    beliefs a barrier to HIV prevention among African
    Americans? Journal of Acquired Immune Deficiency
    Syndrome 200538(2)213-218.
  • Armstrong K, Ravenell KL, McMurphy S, Putt M.
    Racial/ethnic differences in physician distrust
    in the United States. American Journal of Public
    Health 200797(7)1283-1289.

26
ReferencesInterviewer/Patient Concordance
  • Catania JA. A framework for conceptualizing
    reporting bias and its antecedents in interviews
    assessing human sexuality. Journal of Sex
    Research 19993625-38.
  • Wilson SR, Brown NL, Mejia C, Lavori PW. Effects
    of Interviewer Characteristics on Reported Sexual
    Behavior of California Latino Couples. Hispanic
    Journal of Behavioral Sciences 200224(1)38-62.
  • Sohler NL, Fitzpatrick LK, Lindsay RG, Anastos K,
    Cunningham CO. Does patient-provider
    racial/ethnic concordance influence ratings of
    trust in people with HIV infection? AIDS Behav
    200711(6)884-96.
  • Laveist TA, Nuru-Jeter A. Is doctor-patient race
    concordance associated with greater satisfaction
    with care? J Health Soc Behav 200243(3)296-306.

27
ReferencesInterviewer/Patient Concordance
  • Malat J, van Ryn M. African-American preference
    for same-race healthcare providers the role of
    healthcare discrimination. Ethn Dis
    200515(4)740-7.
  • Blanchard J, Nayar S, Lurie N. Patient-provider
    and patient-staff racial concordance and
    perceptions of mistreatment in the health care
    setting. J Gen Intern Med 200722(8)1184-9.
  • Striley CW, Margavio C, Cottler LB. Gender and
    race matching preferences for HIV post-test
    counselling in an African-American sample. AIDS
    Care 200618(1)49-53.

28
NNTI-Age x Time from Diagnosis
29
NNTI-Race x Sex
30
NNTI-Race x Time from Diagnosis
31
NNTI-Age x Sex
32
NNTI-Race x Age
33
NNTI-Time from Diagnosis x Sex
34
Prevalent Partners by Age
P0.003
35
Prevalent Partners by Time from Diagnosis
P0.01
36
Number of Partners by Age
Plt.0001
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