A Computational Future for Preventing HIV in Minority Communities: How Advanced Technology Can Improve Implementation of Effective Programs

Details

• Alternative Title:
  J Acquir Immune Defic Syndr
• Personal Author:
  Brown, C Hendricks ; Mohr, David C. ; Gallo, Carlos G. ; Mader, Christopher ; Palinkas, Lawrence ; Wingood, Gina ; Prado, Guillermo ; Kellam, Sheppard G. ; Pantin, Hilda ; Poduska, Jeanne ; Gibbons, Robert ; McManus, John ; Ogihara, Mitsunori ; Valente, Thomas ; Wulczyn, Fred ; Czaja, Sara ; Sutcliffe, Geoff ; Villamar, Juan ; Jacobs, Christopher
• Description:
  African Americans and Hispanics in the United States have much higher rates of HIV than non-minorities. There is now strong evidence that a range of behavioral interventions are efficacious in reducing sexual risk behavior in these populations. Although a handful of these programs are just beginning to be disseminated widely, we still have not implemented effective programs to a level that would reduce the population incidence of HIV for minorities. We proposed that innovative approaches involving computational technologies be explored for their use in both developing new interventions and in supporting wide-scale implementation of effective behavioral interventions. Mobile technologies have a place in both of these activities. First, mobile technologies can be used in sensing contexts and interacting to the unique preferences and needs of individuals at times where intervention to reduce risk would be most impactful. Second, mobile technologies can be used to improve the delivery of interventions by facilitators and their agencies. Systems science methods including social network analysis, agent-based models, computational linguistics, intelligent data analysis, and systems and software engineering all have strategic roles that can bring about advances in HIV prevention in minority communities. Using an existing mobile technology for depression and 3 effective HIV prevention programs, we illustrated how 8 areas in the intervention/implementation process can use innovative computational approaches to advance intervention adoption, fidelity, and sustainability.
• Subjects:
  Black Or African American Cell Phones Computing Methodologies Forecasting Health Plan Implementation Health Promotion Hispanic Or Latino HIV Infections Humans Minority Groups Program Evaluation Risk Reduction Behavior Sexual Behavior

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• Source:
  J Acquir Immune Defic Syndr. 63(0 1):S72-S84.
• Pubmed ID:
  23673892
• Pubmed Central ID:
  PMC3746769
• Document Type:
  Journal Article
• Funding:
  P20 MH090318/MH/NIMH NIH HHS/United States ; P20MH090318/MH/NIMH NIH HHS/United States ; P30 AI050409/AI/NIAID NIH HHS/United States ; P30 AI073961/AI/NIAID NIH HHS/United States ; P30 DA027828/DA/NIDA NIH HHS/United States ; P30 MH074678/MH/NIMH NIH HHS/United States ; P30AI050409/AI/NIAID NIH HHS/United States ; P30AI073961/AI/NIAID NIH HHS/United States ; P30DA027828/DA/NIDA NIH HHS/United States ; P30MH074678/MH/NIMH NIH HHS/United States ; R01 DA025192/DA/NIDA NIH HHS/United States ; R01 DA030452/DA/NIDA NIH HHS/United States ; R01 MH066302/MH/NIMH NIH HHS/United States ; R01DA025192/DA/NIDA NIH HHS/United States ; R01DA030452/DA/NIDA NIH HHS/United States ; R01MH066302/MH/NIMH NIH HHS/United States ; R13 HD074468/HD/NICHD NIH HHS/United States ; R13 MH-081733-01A1/MH/NIMH NIH HHS/United States ; R13 MH081733/MH/NIMH NIH HHS/United States ; U01-PS000671/PS/NCHHSTP CDC HHS/United States ; UL1 TR000150/TR/NCATS NIH HHS/United States ; UL1 TR000460/TR/NCATS NIH HHS/United States ; UL1TR000460/TR/NCATS NIH HHS/United States
• Place as Subject:
  United States
• Volume:
  63
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:62b2072a606fb8a7572adebc2b65cdb07291d6f2e80b63f15eafffc79a405f38
• Download URL:
  https://stacks.cdc.gov/view/cdc/29709/cdc_29709_DS1.pdf
• File Type:
  [PDF - 332.61 KB ]