References

Attachment 3

REFERENCES

Abreu, D. A., & Winters, F. ( 1999). Using monetary incentives to reduce attrition in the survey of income and program participation. . Proceedings of the Survey Research Methods Section of the American Statistical Association.

Arnett, M. J., Thorpe, R. J., Jr., Gaskin, D. J., Bowie, J. V., & LaVeist, T. A. (2016). Race, Medical Mistrust, and Segregation in Primary Care as Usual Source of Care: Findings from the Exploring Health Disparities in Integrated Communities Study. J Urban Health, 93(3), 456-467. doi:10.1007/s11524-016-0054-9.Attia, S., Egger, M., Muller, M., Zwahlen, M., & Low, N. (2009). Sexual transmission of HIV according to viral load and antiretroviral therapy: systematic review and meta-analysis. Aids, 23(11), 1397-1404. doi:Doi 10.1097/Qad.0b013e32832b7dca

Bachmann, L. H., Grimley, D. M., Gao, H., Aban, I., Chen, H., Raper, J. L., . . . Hook, E. W., 3rd. (2013). Impact of a computer-assisted, provider-delivered intervention on sexual risk behaviors in HIV-positive men who have sex with men (MSM) in a primary care setting. AIDS Educ Prev, 25(2), 87-101. doi:10.1521/aeap.2013.25.2.87

Benkert, R., Peters, R. M., Clark, R., & Keves-Foster, K. (2006). Effects of perceived racism, cultural mistrust and trust in providers on satisfaction with care. Journal of the National Medical Association, 98(9), 1532-1540.

Centers for Disease Control and Prevention (CDC). (2011). Medical monitoring project. Retrieved from http://www.cdc.gov/hiv/topics/treatment/MMP/

Centers for Disease Control and Prevention (CDC). (2016). HIV in the United States: at a glance. Retrieved October 5 2016, from http://www.cdc.gov/hiv/statistics/overview/ataglance.html

Centers for Disease Control and Prevention (CDC). (2014). HIV Surveillance Report. Diagnoses of HIV infection in the United States and dependent areas, 2014. Vol. 26. Retrieved 5 Oct 2016, from http://www.cdc.gov/hiv/pdf/g-l/hiv_surveillance_report_vol_25.pdf

Church, A. H. (1993). Estimating the effect of incentives on mail survey response rates: A meta-analysis. Public Opin Q (1993) 57 (1): 62-79.

Cornelius, J. B., Dmochowski, J., Boyer, C., St. Lawrence, J., Lightfoot, M., Moore, M. (2013). Text-messaging-enhanced HIV intervention for African American adolescents: A feasibility study. Journal of the Association of Nurses in AIDS Care, 24(3), 256–267.

Dowshen, N., et al. (2012). Improving adherence to antiretroviral therapy for youth living with HIV/AIDS: A pilot study using personalized, interactive, daily text message reminders. Journal of Medical Internet Research, 14(2), e51.

Edwards, P., Roberts, I., Clarke, M., DiGuiseppi, C., Pratap, S., Wentz, R. and Kwan, I. (2002) Increasing response rates to postal questionnaires: Systematic review. British Medical Journal 324, 1183.

Fisher, J. D., Amico, K. R., Fisher, W. A., Cornman, D. H., Shuper, P. A., Trayling, C., . . . LifeWindows, T. (2011). Computer-based intervention in HIV clinical care setting improves antiretroviral adherence: the LifeWindows Project. Aids and Behavior, 15(8), 1635-1646. doi:10.1007/s10461-011-9926-x

Gardner, E. M., McLees, M. P., Steiner, J. F., Del Rio, C., & Burman, W. J. (2011). The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection. Clin Infect Dis, 52(6), 793-800. doi:10.1093/cid/ciq243

George, S., Phillips, R., McDavitt, B. Adams, W. & Mutchler, M. G. (2012). The cellular generation and a new risk environment: Implications for texting-based sexual health promotion interventions among minority young men who have sex with men. AMIA Annual Symposium Proceedings, 247–256.

Gilbert, P., Ciccarone, D., Gansky, S. A., Bangsberg, D. R., Clanon, K., McPhee, S. J., . . . Gerbert, B. (2008). Interactive "Video Doctor" counseling reduces drug and sexual risk behaviors among HIV-positive patients in diverse outpatient settings. PLoS One, 3(4), e1988. doi:10.1371/journal.pone.0001988

Glasgow, R. E., Eckstein, E. T., & Elzarrad, M. K. (2013). Implementation science perspectives and opportunities for HIV/AIDS research: integrating science, practice, and policy. J Acquir Immune Defic Syndr, 63 Suppl 1(Suppl 1), S26-31. doi:10.1097/QAI.0b013e3182920286

Grady, C. (2005). Payment of clinical research subjects. Journal of Clinical Investigation, 115(7), 1681-1687.

Green, J., Hibbard, J. H., Sacks, R., Overton, V., & Parrotta, C. (2015). When patient activation levels change, health outcomes and costs change, too. Health Affairs, 34, 431-437.

Greenbaum, T. L. (2000). Moderating focus groups: A practical guide for group facilitation. Thousand Oaks, CA: SAGE Publications.

Hersch, R. K., Cook, R. F., Billings, D. W., Kaplan, S., Murray, D., Safren, S., . . . Spencer, J. (2013). Test of a web-based program to improve adherence to HIV medications. Aids and Behavior, 17(9), 2963-2976. doi:10.1007/s10461-013-0535-8

Jackle, A. and P. Lynn. 2008. Respondent incentives in a multi-mode panel survey: cumulative effects on nonresponse and bias. Survey Methodology 34: 105–117

Kreuter, M. (2000). Tailoring health messages: customizing communication with computer technology. Mahwah, NJ: Lawrence Erlbuam Publishers.

Kurth, A. E., Spielberg, F., Cleland, C. M., Lambdin, B., Bangsberg, D. R., Frick, P. A., . . . Holmes, K. K. (2014). Computerized counseling reduces HIV-1 viral load and sexual transmission risk: findings from a randomized controlled trial. J Acquir Immune Defic Syndr, 65(5), 611-620. doi:10.1097/qai.0000000000000100

Lewis, M. A., DeVellis, B., & Sleath, B. (2002). Interpersonal communication and social influence. In F. M. Lewis & B. K. Rimer (Eds.), Health behavior and health education: Theory, research, and practice, 3rd Edition. San Francisco: Jossey Bass.

Lomas, J., Brook, R., Power, E., Chalmers, T., & Peto, R. (1993). Diffusion, dissemination, and implementation—who should do what. Annals of the New York Academy of Sciences, 703, 226-237. doi:DOI 10.1111/j.1749-6632.1993.tb26351.x

Lustria, M. L., Cortese, J., Noar, S. M., & Glueckauf, R. L. (2009). Computer-tailored health interventions delivered over the Web: review and analysis of key components. Patient Educ Couns, 74(2), 156-173. doi:10.1016/j.pec.2008.08.023

Muessig, K.E., Pike, E. C., Fowler, B., LeGrand, S., Parsons, J. T., Bull, S. S., …Hightow-Weidman, L, B. (2013). Putting prevention in their pockets: Developing mobile phone-based HIV interventions for Black men who have sex with men. AIDS Patient Care and STDs, 27(4), 211–222.

National Institutes of Health. (2007, Sep 10-11). Building the science of dissemination and implementation in the service of public health. Paper presented at the NIH Conference, Bethesda, MD. www.obssr.od.nih.gov/di2007/about.html

Noar, S. M. (2011). Computer technology-based interventions in HIV prevention: state of the evidence and future directions for research. AIDS Care, 23(5), 525-533. doi:10.1080/09540121.2010.516349

Noar, S. M., Benac, C., & Harris, M. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133(4), 673-693.

Noar, S. M., Black, H. G., & Pierce, L. B. (2009). Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. Aids, 23(1), 107-115. doi:10.1097/QAD.0b013e32831c5500

Noar, S. M., & Harrington, N. G. (Eds.). (2012). eHealth applications: promising strategies for behavior change. New York: Routledge.

Noar, S. M., Webb., E. M., Van Stee, S. K., Redding, C. A., Feist-Price, S., Crosby, R., & Troutman, A. (2011). Using computer technology for HIV prevention among African Americans: development of a tailored information program for safer sex (TIPSS). Health Education Research, 26(3), 393-406.

Ownby, R. L., Waldrop-Valverde, D., Jacobs, R. J., Acevedo, A., & Caballero, J. (2013). Cost effectiveness of a computer-delivered intervention to improve HIV medication adherence. BMC Med Inform Decis Mak, 13(29), 29. doi:10.1186/1472-6947-13-29

Page, T. F., Horvath, K. J., Danilenko, G. P., & Williams, M. (2012). A cost analysis of an Internet-based medication adherence intervention for people living with HIV. J Acquir Immune Defic Syndr, 60(1), 1-4. doi:10.1097/QAI.0b013e318250f011

Pellowski, J. A., & Kalichman, S. C. (2012). Recent advances (2011-2012) in technology-delivered interventions for people living with HIV. Curr HIV/AIDS Rep, 9(4), 326-334. doi:10.1007/s11904-012-0133-9

Shettle, C., & Mooney, G. (1999 ). Monetary incentives in U.S. government surveys. Journal of Official Statistics, 15, 231–250.

Sturt, A. S., Dokubo, E. K., & Sint, T. T. (2010). Antiretroviral therapy (ART) for treating HIV infection in ART-eligible pregnant women. Cochrane Database Syst Rev(3), CD008440. doi:10.1002/14651858.CD008440

Uhrig, J. D., Lewis, M. A., Bann, C., Harris, J. L., Furberg, R., Coomes, C. M., & Kuhns, L. (2012). Addressing HIV knowledge, risk reduction, social support, and patient involvement using SMS: A proof-of-concept study. Journal of Health Communication, 17(Suppl. 1), 128–145.

Wolfe, D., Carrieri, M. P., & Shepard, D. (2010). Treatment and care for injecting drug users with HIV infection: a review of barriers and ways forward. Lancet, 376(9738), 355-366. doi:10.1016/S0140-6736(10)60832-X.