A Computational Future for Preventing HIV in Minority Communities: How Advanced Technology Can Improve Implementation of Effective Programs
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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.
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More rapid implementation is especially important to the delivery of effective interventions to minorities and other populations experiencing health or health service disparities that would otherwise not benefit from the extensive research required to demonstrate effectiveness.
“To close this discussion of a framework for asserting that a scaling-out is expected to share the original version’s impact on health outcomes by relying on previous studies and new empirical data, we note that more rapid implementation is especially important to the delivery of effective interventions to minorities and other populations experiencing health or health service disparities that would”
From “Scaling-out” evidence-based interventions to new populations or new health care delivery systems (2017) · cites this paper as [90]
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Brown, C. H., Kellam, S. G., Kaupert, S., Muthén, B. O., Wang, W., Muthén, L. K., Chamberlain, P., PoVey, C. L., Cady, R., Valente, T. W., et al. (2012) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-011-0387-3 · Cited by 68 · see citing works
Self-citationCarey, M. P., Senn, T. E., Vanable, P. A., Coury-Doniger, P. A., & Urban, M. A. (2009) · AIDS and Behavior · doi:10.1007/s10461-009-9587-1 · Cited by 67 · see citing works
From Appropriate Care to Evidence-Based Medicine
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Design of a Faith-Based HIV Intervention
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Self-citationHealth promotion as a systems science and practice
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Kellam, S. G., Reid, J. B., & Balster, R. L. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.01.006 · Cited by 61 · see citing works
Self-citationNoia, J. D., Schinke, S. P., Pena, J. B., & Schwinn, T. M. (2004) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2003.09.006 · Cited by 59 · see citing works
+CLICK: harnessing web-based training to reduce secondary transmission among HIV-positive youth
Markham, C. M., Shegog, R., Leonard, A., Bui, T. C., & Paul, M. E. (2009) · AIDS Care · doi:10.1080/09540120802385637 · Cited by 58 · see citing works
Exploring Content Features for Automated Speech Scoring
Xie, S., Evanini, K., & Zechner, K. (2012) · Cited by 57 · see citing works
Wingood, G. M., DiClemente, R. J., Villamizar, K., Er, D. L., DeVarona, M., Taveras, J., Painter, T. M., Lang, D. L., Hardin, J. W., Ullah, E., et al. (2011) · American Journal of Public Health · doi:10.2105/ajph.2011.300340 · Cited by 52 · see citing works
Self-citationKellam, S. G. (2012) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-011-0402-8 · Cited by 47 · see citing works
Self-citationAdvancing the Science of Implementation: A Workshop Summary
Chambers, D. A. (2008) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-007-0146-7 · Cited by 46 · see citing works
Henny, K. D., Crepaz, N., Lyles, C. M., Marshall, K. J., Aupont, L. W., Jacobs, E. D., Liau, A., Rama, S. M., Kay, L. S., Willis, L. A., et al. (2012) · AIDS and Behavior · doi:10.1007/s10461-011-0100-2 · Cited by 46 · see citing works
Latham, T. P., Sales, J. M., Boyce, L. S., Renfro, T. L., Wingood, G. M., DiClemente, R. J., & Rose, E. (2010) · Health Promotion Practice · doi:10.1177/1524839910361433 · Cited by 46 · see citing works
Self-citationPantin, H. M., Schwartz, S. J., Coatsworth, J. D., et al. (2007) · American Psychological Association eBooks · doi:10.1037/11488-009 · Cited by 46 · see citing works
Self-citationLearning Along the Way: Professional Development by and for Teachers
Sweeney, D. (2003) · Cited by 37 · see citing works
Wingood, G. M., DiClemente, R. J., Robinson, L. S., Lang, D. L., Caliendo, A. M., & Hardin, J. W. (2013) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e3182920031 · Cited by 36 · see citing works
Self-citationHoste, L., Dumas, B., & Signer, B. (2012) · International Working Conference on Advanced Visual Interfaces (AVI) · doi:10.1145/2254556.2254585 · Cited by 36 · see citing works
Opinion leader interventions in social networks
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Self-citationHow Text Segmentation Algorithms Gain from Topic Models
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African Americans and HIV/AIDS: Understanding and Addressing the Epidemic
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Evaluating Child Welfare Policies with Decision-Analytic Simulation Models
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Self-citationThe Effect of Population Dynamics on Performance Measurement
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Understanding the True Potential of Hybrid Financing Strategies for Social EntrepreneursPreprint
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Estimating the number of segments for improving dialogue act labelling
Tamarit, V., Martínez-Hinarejos, C.-D., & Benedí, J.-M. (2011) · Natural Language Engineering · doi:10.1017/s135132491000032x · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [32]Horwitz S Chamberlain P Landsverk J Mullican C Strategies to provide evidence-based programs to improve the mental health of children involved in non-specialty sectors Child and Adolescent Mental Health Services: Special Issue 2010 Manuscript presented at CAMHS Conference
- [93]Hoste L Dumas B Signer B SpeeG: A multimodal speech-and gesture-based text input solution 2012 156 163 Proceedings of the International Working Conference on Advanced Visual Interfaces
- [124]Chamberlain P Saldana L Brown CH Leve LD Roberts-DeGennaro M Fogel S Implementation of multidimensional treatment foster care in california: A randomized trial of an evidence-based practice Empirically Supported Interventions for Community and Organizational Change Lyceum Books, Inc. In Press
Cited by
Sorted by citations
Mohr, D. C., Schueller, S. M., Montague, E., Burns, M. N., & Rashidi, P. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3077 · Cited by 510 · see citing works
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Aarons, G. A., Sklar, M., Mustanski, B., Benbow, N., & Brown, C. H. (2017) · Implementation Science · doi:10.1186/s13012-017-0640-6 · Cited by 399 · see citing works
Self-citationSocial Network Analysis for Program Implementation
Valente, T. W., Palinkas, L. A., Czaja, S., Chu, K.-H., & Brown, C. H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0131712 · Cited by 332 · see citing works
Self-citationMohr, D. C., Schueller, S. M., Riley, W. T., Brown, C. H., Cuijpers, P., Duan, N., Kwasny, M. J., Stiles-Shields, C., & Cheung, K. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4391 · Cited by 216 · see citing works
Self-citationDevi, B. R., Syed-Abdul, S., Kumar, A., Iqbal, U., Nguyen, P.-A., Li, Y.-C. (., & Jian, W.-S. (2015) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.08.003 · Cited by 110 · see citing works
Palinkas, L. A., Chou, C.-P., Spear, S. E., Mendon, S. J., Villamar, J., & Brown, C. H. (2020) · Implementation Science · doi:10.1186/s13012-020-01030-x · Cited by 70 · see citing works
Self-citationPerrino, T., Beardslee, W., Bernal, G., Brincks, A., Cruden, G., Howe, G., Murry, V., Pantin, H., Prado, G., Sandler, I., et al. (2015) · Prevention Science · doi:10.1007/s11121-014-0518-7 · Cited by 51 · see citing works
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Self-citationCzaja, S. J., Valente, T. W., Nair, S. N., Villamar, J. A., & Brown, C. H. (2015) · Implementation Science · doi:10.1186/s13012-016-0433-3 · Cited by 15 · see citing works
Self-citation
- Authors
- Brown, C. H., Mohr, D. C., Gallo, C. G., Mader, C., Palinkas, L., Wingood, G., Prado, G., Kellam, S. G., Pantin, H., Poduska, J., Gibbons, R., McManus, J., Ogihara, M., Valente, T., Wulczyn, F., Czaja, S., Sutcliffe, G., Villamar, J., & Jacobs, C.
- Affiliations
- University of Miami (US)
- Northwestern University (US)
- University of Southern California (US)
- Johns Hopkins University (US)
- American Institutes for Research (US)
- Corresponding author
- Brown, C. Hendricks
- Gallo, Carlos G.
- Prado, Guillermo
- Pantin, Hilda
- Gibbons, Robert
- Villamar, Juan
- ORCID
- Venue
- JAIDS Journal of Acquired Immune Deficiency Syndromes
- Published
- 2013-06-01
- Volume
- 63
- Issue
- Supplement 1
- Pages
- S72-S84
- ISSN
- 1525-4135 (ISSN-L)
- PMC
- PMC3746769
- OpenAlex
- W2076689961
- Cited by
- 55
- References
- 132
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 10 · 2020: 5 · 2019: 7 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 6 · 2014: 9 · 2013: 3
- FWCI
- 0.86
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAIDS Journal of Acquired Immune Deficiency Syndromes (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000150, UL1TR000460)
- Centers for Disease Control and Prevention (U01PS000671)
- National Institute of Mental Health (P20MH090318, R13MH081733, R01MH066302, P30MH074678, R13MH-081733-01A1)
- National Institute on Drug Abuse (P30DA027828, R01DA025192, R01DA030452)
- National Institute of Allergy and Infectious Diseases (P30AI050409, P30AI073961)
- National Center for Advancing Translational Sciences
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R13HD074468)
- Topics
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Keywords
- HIV prevention, minority groups, African Americans, Hispanic Americans, mobile health technology, behavioral interventions, sexual risk behavior, intervention implementation, agent-based modeling, social network analysis, computational linguistics, intervention fidelity, intervention sustainability
- MeSH terms
- Black or African American, Computing Methodologies, Forecasting, Health Plan Implementation, Health Promotion, Hispanic or Latino, Humans, Minority Groups, Sexual Behavior, United States, Program Evaluation, HIV Infections, Risk Reduction Behavior, Cell Phone
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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