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Integrating Capacity Building into Collaborative CommunityBased Research: the Case of a Research Con

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Title: Integrating Capacity Building into Collaborative CommunityBased Research: the Case of a Research Con


1
Integrating Capacity Building into Collaborative
Community-Based Research the Case of a Research
Consortium Focused on Asian and Pacific Islander
MSM Communities
  • Christian Alvez
  • Asian and Pacific Islander American Health Forum
  • Tri Do
  • UCSF Center for AIDS Prevention Studies
  • 2006 CAPS Conference

2
Overview
  • WELCOME INTRODUCTION
  • Lead-in questions
  • What is the MATH study?
  • REFLECTION / DISCUSSION
  • MATH CONSORTIUM AND CAPACITY BUILDING
  • COMMUNITY BUILDING THROUGH RESEARCH
  • CLOSING EVALUATION

3
Objectives
  • At the end of this workshop, attendees will be
    highly conversant in
  • Exploring the benefits and challenges of
    collaborating in community-academic research
    partnerships,
  • Describing a consortium model of collaborative
    research, and
  • Explaining how capacity building activities serve
    to facilitate the research while the
    strengthening community.

4
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5
Men of Asia the PacificTesting for HIV
  • The History, Anatomy, and
  • Physiology of MATH

6
Acknowledgements
Our Community Partners AIDS Services in Asian Co
mmunities (Philadelphia) Asian Americans for Comm
unity Involvement (Santa Clara)
Asian Health Services (Oakland)
Asian Pacific AIDS Intervention Team (Los
Angeles) Asian Pacific Islander Coalition on HI
V/AIDS (New York City) Asian Pacific Islander W
ellness Center (San Francisco)
Massachusetts Asians Pacific Islanders for
Health (Boston)
  • API HIV/AIDS Advocates
  • MATH team Vince Crisostomo, Tri Do, Jordana De
    Leon, Royce Park, Mary Hoehn, Susan Eisenberg,
    Frank Wong.
  • MATH Consortium Convener Asian and Pacific
    Islander American Health Forum
  • ManChui Leung, Christian Alvez
  • Scientific Partners John Chin, Willi McFarland,
    Kyung-Hee Choi, Teri Liegler
  • Funder
  • National Institutes of Health, NICHHD

7
Guiding Questions
  • Why study HIV among API MSM? What impact on the
    epidemic can social epidemiological research
    have?
  • How does such research benefit the community?
    How does involvement of the community benefit the
    research?
  • What is needed to make the collaboration
    successful and significant?

8
History Queer API Organizing
  • Homophobia, racism, anti-immigrant stigma in U.S.
    society, API society, and in the LGBT community
  • Triple politics of invisibility
  • Internalized messages about model minority
    status
  • Lack of specific HIV prevention services
  • Trajectory of a community response

9
AIDS among APIs in the U.S.
  • Relatively smaller number of AIDS cases in the
    U.S.
  • 6,864 cumulative AIDS cases through 2002
  • About 50 are living
  • 0.76 of all U.S. AIDS cases, vs 4.2 of U.S.
    pop
  • 87 of all APIs with AIDS are male
  • High rates of rectal GC, syphilis, and risk
    behaviors (UAI with partners of unknown status)
    (McFarland, et al 2004)

Source CDC, HIV/AIDS Surveillance Supplemental
Report, 2003
10
HIV/AIDS and API MSM
  • HIV Prevalence Low? High? Rising?
  • 1.4 to 27.8 of API MSM in smaller studies using
    convenience samples
  • 2.6 in TLS study of 18-29 y.o. API MSM in SF in
    2001 (Choi 2004)
  • 6.1 by self-report in SF, 2005 10
    seroprevalence in a sub-sample (n50) (SFDPH)
  • Increased morbidity and hospitalizations due to
    lack of awareness of infection, lack of testing,
    low risk perception (Eckholdt 1997, Nemoto 2003,
    Do 2005)

11
History of the MATH Study
  • Much groundwork previously laid down by agencies,
    advocates, researchers
  • 1996 API HIV Research Summit
  • 2000 API MSM survey collaboration to ensure data
    uniformity across agencies
  • 2001 MATH study conceptualized
  • 2002 API SHARE Conference, meeting with agencies
  • 2003 Proposal submitted to NICHD May not
    funded
  • Met with agencies to discuss
  • 2004 Revised, resubmitted Jan 2004.
  • Scored well, funded for October 2004

12
Benefits of a Community-Based Scientific Research
Approach
  • Data, data, data
  • Influencing public health funding and policy
  • Relevance
  • Development of novel, real time and highly
    relevant prevention approaches
  • Highly appropriate and tailored services for API
    MSM
  • Epidemic Impact
  • Populations can be reached for prevention and
    testing who might not otherwise access these
    services

13
Scientific and Community Research Priorities
  • Methodological Rigor
  • Outreach, sampling
  • Biological outcomes
  • Social and behavioral measures
  • Assure quality of services, meet regulatory
    requirements
  • Maintain high scientific standard
  • Community Concerns
  • Research must provide relevant and significant
    information
  • Impact on agencies capacity to provide services
  • It had to be successful and fundable!

14
Specific Aims of MATH
  • to estimate the prevalence and incidence of HIV
    infection among AAPI MSM
  • to describe the socio-cultural and
    individual-level factors related to HIV testing
    and knowledge of HIV infection status among AAPI
    MSM
  • to examine the socio-cultural and
    individual-level correlates of HIV risk among
    AAPI MSM and
  • to evaluate a consortium model framework for
    conducting scientific, community-based HIV
    research.

15
Current study design
  • 2,000 API MSM in 5 metropolitan areas in
    partnership with 7 community based organizations
    (CHC/CBO)
  • Over sampling of Chinese, Filipino, Japanese,
    South Asian, Vietnamese.
  • Behavioral Survey in multiple languages
    Chinese, Vietnamese, Japanese, English
  • Use of oral-based OraQuick Advance with
    blood-based confirmatory and other HIV-related
    tests
  • Provide HIV testing, counseling, referrals

16
Behavioral Survey
  • Instrument Development, Translation, Testing
  • Scientific Areas of Interest
  • Demographics
  • Cultural and Community Measures
  • Acculturation and orthogonal phenomena
  • Social Networks
  • egocentric and network mapping
  • Behavioral Risk, Risk Reduction, and Resiliency
  • Psychological and Physical Health
  • Questions posed by service providers, CAB members

17
Biological Measures
  • Rapid HIV Test
  • Confirmatory HIV Test (blood-based)
  • CD4 Count (HIV stage)
  • HIV Incidence (BED Assay)
  • HIV Viral Load
  • HIV Genotype
  • HIV Clade (subtype)

To be disclosed to participant
18
Computerized Protocol Procedures
  • Standard venue/online/media-based recruitment,
    and reach difficult-to-reach persons through
    respondent-driven sampling technique
  • Following up on RDS procedures
  • Eligibility screening, informed consent
  • HIV pretest counseling, HIV testing
  • Follow-up with blood-based confirmatory testing,
    conducted by partner laboratories nationwide
  • Follow-up visits with preliminary positive /
    indeterminate
  • Administer a behavioral survey instrument
    focusing on risk behaviors, API-specific cultural
    factors, resiliency, and emerging issues (e.g.
    travel)
  • Study administration (financial, documentation,
    etc)

19
Quality Assurance
  • Quality Assurance Activities
  • Documentation of compliance with state
    regulations
  • Environmental QA program
  • Rapid HIV Testing QA program
  • Control Testing Schedule
  • Performance evaluation programs
  • Specimen collection and shipment
  • Project Activity Documentation, Monitoring
  • Quarterly, Annual, and Adverse Event Reports

20
Changes from Original Protocol
  • Oversampled ethnic groups changed (from Korean to
    South Asian)
  • Languages changed (Japanese added)
  • Sample size decreased
  • Number of community partners and metropolitan
    areas changed
  • Fingerstick ? oral specimen collection

21
Progress / Next Steps
  • Complete pilot testing, start data collection
  • Ongoing capacity building
  • Assessment of the Consortium effectiveness
  • Analysis, reporting Dissemination
  • Scientific manuscripts, community forums
  • Scientific service-oriented conferences
  • In the future
  • Hepatitis B testing
  • Intervention Development
  • Infinite possibilities

22
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23
Capacity Building within Community-Based
Collaborative Research
24
What is Capacity Building?
  • Capacity building is a dynamic and informative
    process that emphasizes the empowerment of
    individuals, organizations, and communities and
    the improved use of skills

25
What is Capacity Building
  • For example, capacity building can be described
    as a planned structured sequence of events or
    activities that may include training,
    consultation, technical assistance, and/or
    mentoring activities

26
What is Capacity Building
  • The intended outcome of CBA is to help
    individuals, organizations, and communities build
    and enhance skills to function more effectively
    or be better prepared for future programmatic
    challenges.
  • -Centers for Disease Control and Prevention

27
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28
Capacity Building Services
  • Managing the provision of Capacity Building
    Assistance (CBA) services within research
  • Budgeting, planning
  • Consortium convener
  • Training Technical Assistance
  • Group trainings
  • One-on-one site visits
  • Technical Consultation
  • Formal and ongoing needs assessments
  • Coaching
  • Providing Resources

29
Capacity Building Activities
  • HIV testing capacity assistance
  • Certification, training
  • Technical assistance
  • Phlebotomy, linkage to laboratories
  • Quality assurance, regulatory compliance
  • Research capacity
  • IRB training, NIH requirements
  • Protocol implementation

30
Capacity Building Activities
  • HIV Prevention Program Capacity
  • Language capacity
  • Funding, grants
  • Referrals, linkages
  • Overall outreach strategies
  • Online
  • Venue-based
  • Respondent-driven
  • Ethnic group specific
  • Community Advisory Board training
  • How to read a research protocol
  • Guidance on participating on a national CAB

31
Successes
  • Influencing local data collection.
  • Influencing HIV testing funding priorities.
  • Strengthening CBO infrastructure and
    sustainability.
  • Increase of staff skills.
  • Working relationships with other capacity
    building partners.
  • Increase in quality assurance.
  • Complementing CBOs existing programs.
  • Changing agencies views of research and
    evaluation methodologies.

32
Challenges to Date
  • State requirements
  • Lab linkages
  • Changing hats Direct service to research
  • Translation/Interpretation

33
Community Concerns
  • Deliverables
  • Language and outreach capacities vary between
    agencies
  • Flexibility around recruitment targets (e.g. by
    ethnicity)
  • Changing testing/research capacity with staffing
  • Reaching Ethnic composition
  • Integration into existing HIV testing services
  • Ethical concerns
  • Confidentiality in RDS
  • Literacy level, availability of audio survey
  • Difficulty reaching population homophobia in API
    communities, racism in gay community

34
Scientific Concerns
  • Will changing the target ethnicities make the
    results less generalizable to API MSM in
    general?
  • Is the inclusion of South Asian as a group (vs.
    the more monolithic ethnic groups) valid?
  • Will the integration of MATH into existing HIV
    testing programs invalidate the data through
    biased sampling?

35
MATH Study Acknowledgements
Our Community Partners AIDS Services in Asian Co
mmunities (Philadelphia) Asian Americans for Comm
unity Involvement (Santa Clara)
Asian Health Services (Oakland)
Asian Pacific AIDS Intervention Team (Los
Angeles) Asian Pacific Islander Coalition on HI
V/AIDS (New York City) Asian Pacific Islander W
ellness Center (San Francisco)
Massachusetts Asians Pacific Islanders for
Health (Boston)
  • API HIV/AIDS Advocates
  • MATH team Vince Crisostomo, Tri Do, Jordana De
    Leon, Royce Park, Mary Hoehn, Susan Eisenberg,
    Frank Wong.
  • MATH Consortium Convener Asian and Pacific
    Islander American Health Forum
  • ManChui Leung, Christian Alvez
  • Scientific Partners John Chin, Willi McFarland,
    Kyung-Hee Choi, Teri Liegler
  • Funder
  • National Institutes of Health, NICHHD

36
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