Understanding Psychosocial Determinants of PrEP Uptake Among Cisgender Women Experiencing Heightened HIV Risk: Implications for Multi-Level Communication Intervention

References

• Aaron, E., Blum, C., Seidman, D., Hoyt, M. J., Simone, J., Sullivan, M., & Smith, D. K. (2018). Optimizing delivery of HIV preexposure prophylaxis for women in the United States. AIDS Patient Care and STDS, 32(1), 16–23. https://doi.org/10.1089/apc.2017.0201
   PubMed Web of Science ®Google Scholar
• Adimora, A. A., Ramirez, C., Auerbach, J. D., Aral, S. O., Hodder, S., Wingood, G., El-Sadr, W., Bukusi, E. A., & HIV Prevention Trials Network Women at Risk Committee. (2013). Preventing HIV infection in women. Journal of Acquired Immune Deficiency Syndromes, 63(Suppl. 2), S168–173.
   PubMedGoogle Scholar
• Adimora, A., & Schoenbach, V. J. (2002). Contextual factors and the black-white disparity in heterosexual HIV transmission. Epidemiology, 13(6), 707–712. https://doi.org/10.1097/00001648-200211000-00016
   PubMed Web of Science ®Google Scholar
• Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127(1), 142–161. https://doi.org/10.1037/0033-2909.127.1.142
   PubMed Web of Science ®Google Scholar
• Amaro, H. (1995). Love, sex, and power: Considering women’s realities in HIV prevention. The American Psychologist, 50(6), 437–447. https://doi.org/10.1037/0003-066X.50.6.437
   PubMed Web of Science ®Google Scholar
• Amaro, H., & Raj, A. (2000). On the margin: Power and women’s HIV risk reduction strategies. Sex Roles, 42(7–8), 723–749. https://doi.org/10.1023/A:1007059708789
   Web of Science ®Google Scholar
• Amaro, H., Raj, A., & Reed, E. (2001). Women’s sexual health: The need for feminist analyses in public health in the decade of behavior. Psychology of Women Quarterly, 25(4), 324–334. https://doi.org/10.1111/1471-6402.00032
   Web of Science ®Google Scholar
• Amico, K. R., Balthazar, C., Coggia, T., & Hosek, S. (2014, June 8-10). PrEP audio visual representation (PrEP REP): Development and pilot of a PrEP education video [ Conference presentation]. 9th International Conference on HIV Treatment and Prevention Adherence, IAPAC, Miami, FL, United States.
   Google Scholar
• Amico, K. R., Balthazar, C., Coggia, T., & Hosek, S. (2014). What is PrEP?. http://www.whatisprep.org/
   Google Scholar
• Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta‐analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
   PubMed Web of Science ®Google Scholar
• Atkin, C. K., & Rice, R. E. (2013). Theory and principles of public communication campaigns. In R. E. Rice & C. K. Atkin (Eds.), Public communication campaigns (4th ed., pp. 3–20). Sage Publications, Inc.
   Google Scholar
• Auerbach, J. D., & Hoppe, T. A. (2015). Beyond ‘‘getting drugs into bodies’’: Social science perspectives on pre-exposure prophylaxis for HIV. Journal of the International AIDS Society, 18(Suppl. 3), S19983–19988. https://doi.org/10.7448/IAS.18.4.19983
   PubMedGoogle Scholar
• Auerbach, J. D., Kinsky, S., Brown, G., & Charles, V. (2015). Knowledge, attitudes, and likelihood of pre-exposure prophylaxis (PrEP) use among US women at risk of acquiring HIV. AIDS Patient Care and STDs, 29(2), 102–110. https://doi.org/10.1089/apc.2014.0142
   PubMed Web of Science ®Google Scholar
• Baeten, J., Donnell, D., Ndase, P., Mugo, N. R., Campbell, J. D., Wangisi, J., Tappero, J. W., Bukusi, E. A., Cohen, C. R., Katabira, E., Ronald, A., Tumwesigye, E., Were, E., Fife, K. H., Kiarie, J., Farquhar, C., John-Stewart, G., Kakia, A., Odoyo, J. … Celum, C. (2012). Antiretroviral pre-exposure prophylaxis for HIV prevention in men and women. The New England Journal of Medicine, 367(5), 399–410. https://doi.org/10.1056/NEJMoa1108524
   PubMed Web of Science ®Google Scholar
• Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588
   Web of Science ®Google Scholar
• Bleakley, A., & Hennessy, M. (2012). The quantitative analysis of reasoned action theory. The Annals of the American Academy of Political and Social Science, 640(1), 28–41. https://doi.org/10.1177/0002716211424265
   Web of Science ®Google Scholar
• Bogorodskaya, M., Lewis, S. A., Krakower, D. S., & Avery, A. (2020). Low awareness of and access to pre-exposure prophylaxis but high interest among heterosexual women in Cleveland, Ohio. Sexually Transmitted Diseases, 47(2), 96–99. https://doi.org/10.1097/OLQ.0000000000001082
   PubMed Web of Science ®Google Scholar
• Bowleg, L. (2004). Love, sex, and masculinity in sociocultural context HIV concerns and condom use among African American men in heterosexual relationships. Men and Masculinities, 7(2), 166–186. https://doi.org/10.1177/1097184X03257523
   Google Scholar
• Bowleg, L. (2012). The problem with the phrase women and minorities: Intersectionality—An important theoretical framework for public health. American Journal of Public Health, 102(7), 1267–1273. https://doi.org/10.2105/AJPH.2012.300750
   PubMed Web of Science ®Google Scholar
• Bowleg, L., Burkholder, G. J., Massie, J. S., Wahome, R., Teti, M., Malebranche, D. J., & Tschann, J. M. (2013). Racial discrimination, social support, and sexual HIV risk among Black heterosexual men. AIDS and Behavior, 17(1), 407–418. https://doi.org/10.1007/s10461-012-0179-0
   PubMed Web of Science ®Google Scholar
• Bowleg, L., Lucas, K. J., & Tschann, J. M. (2004). The ball was always in his court: An exploratory analysis of sexual relationship scripts, sexual scripts and condom use among African American women. Psychology of Women Quarterly, 28(1), 70–82. https://doi.org/10.1111/j.1471-6402.2004.00124.x
   Web of Science ®Google Scholar
• Brennan, E., Gibson, L. A., Kybert-Momjian, A., Liu, J., & Hornik, R. C. (2017). Promising themes for antismoking campaigns targeting youth and young adults. Tobacco Regulatory Science, 3(1), 29–46. https://doi.org/10.18001/TRS.3.1.4
   PubMedGoogle Scholar
• Bush, S., Magnuson, D., Rawlings, M. K., Hawkins, T., McCallister, S., & Mera Giler, R. (2016). Racial characteristics of FTC/TDF for pre-exposure prophylaxis (PrEP) users in the US. ASM Microbe/ICAAC. https://www.natap.org/2016/HIV/062216_02.htm
   Google Scholar
• Calabrese, S. K., Tekeste, M., Mayer, K. H., Magnus, M., Krakower, D. S., Kershaw, T. S., Eldahan, A. I., Gaston Hawkins, L. A., Underhill, K., Hansen, N. B., Betancourt, J. R., & Dovidio, J. F. (2019). Considering stigma in the provision of HIV pre-exposure prophylaxis: Reflections from current prescribers. AIDS Patient Care and STDs, 33(2), 79–88. https://doi.org/10.1089/apc.2018.0166
   PubMed Web of Science ®Google Scholar
• Calabrese, S. K., Willie, T. C., Galvao, R. W., Tekeste, M., Dovidio, J. F., Safon, C. B., Blackstock, O., Taggart, T., Kaplan, C., Caldwell, A., & Kershaw, T. S. (2019). Current US guidelines for prescribing HIV pre-exposure prophylaxis (PrEP) disqualify many women who are at risk and motivated to use PrEP. Journal of Acquired Immune Deficiency Syndromes, 81(4), 395–405. https://doi.org/10.1097/qai.0000000000002042
   PubMed Web of Science ®Google Scholar
• Cappella, J. N., Fishbein, M., Hornik, R., Ahern, R. K., & Sayeed, S. (2001). Using theory to select messages in antidrug media campaigns. In R. E. Rice & C. K. Atkin (Eds.), Public communication campaigns (3rd ed., pp. 214–230). Sage Publications, Inc.
   Google Scholar
• Centers for Disease Control and Prevention. (2016). HIV Surveillance Report, 2015. https://www.cdc.gov/hiv/pdf/library/reports/surveillance/cdc-hiv-surveillance-report-2015-vol-27.pdf
   Google Scholar
• Centers for Disease Control and Prevention. (2018). HIV in the United States: At a glance. https://www.natap.org/2018/HIV/081018_02.htm
   Google Scholar
• Elion, R., & Coleman, M. (2016). The preexposure prophylaxis revolution: From clinical trials to routine practice: Implementation view from the USA. Current Opinion in HIV and AIDS, 11(1), 67–73. https://doi.org/10.1097/COH.0000000000000222
   PubMed Web of Science ®Google Scholar
• Ewoldsen, D. R., & Rhodes, N. (2020). Media priming and accessibility. In M. B. Oliver, A. A. Raney & J. Bryant (Eds.), Media effects: Advances in theory and research (4th ed., pp. 83–99). Routledge.
   Google Scholar
• Fishbein, M. (2000). The role of theory in HIV prevention. AIDS Care, 12(3), 273–278. https://doi.org/10.1080/09540120050042918
   PubMed Web of Science ®Google Scholar
• Fishbein, M. (2009). An integrative model for behavioral prediction and its application to health promotion. In R. J. DiClemente, R. A. Crosby & M. C. Kegler (Eds.), Emerging theories in health promotion practice and research (pp. 215–234). Jossey-Bass.
   Google Scholar
• Fishbein, & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach ((1st ed.). Psychology Press. https://doi.org/10.4324/9780203838020
   Google Scholar
• Fishbein, M., Hennessy, M., Kamb, M., Bolan, G. A., Hoxworth, T., Iatesta, M., Rhodes, F., Zenilman, J. M., & Project Respect Study Group. (2001). Using intervention theory to model factors influencing behavior change. Project RESPECT. Evaluation & the Health Professions, 24(4), 363–384. https://doi.org/10.1177/01632780122034966
   PubMed Web of Science ®Google Scholar
• Fishbein, M., Von Haeften, I., & Appleyard, J. (2001). The role of theory in developing effective interventions: Implications from Project SAFER. Psychology, Health & Medicine, 6(2), 223–238. https://doi.org/10.1080/13548500123176
   Google Scholar
• Fishbein, M., & Yzer, M. C. (2003). Using theory to design effective health behavior interventions. Communication Theory, 13(2), 164–183. https://doi.org/10.1111/j.1468-2885.2003.tb00287.x
   Web of Science ®Google Scholar
• Flash, C. A., Dale, S. K., & Krakower, D. S. (2017). Pre-exposure prophylaxis for HIV prevention in women: Current perspectives. International Journal of Women’s Health, 2017(9), 391–401. https://doi.org/10.2147/IJWH.S113675
   Google Scholar
• Flash, C. A., Stone, V. E., Mitty, J. A., Mimiaga, M. J., Hall, K. T., Krakower, D., & Mayer, K. H. (2014). Perspectives on HIV prevention among urban black women: A potential role for HIV pre-exposure prophylaxis. AIDS Patient Care & STDs, 28(12), 635–642. https://doi.org/10.1089/apc.2014.0003
   PubMed Web of Science ®Google Scholar
• Garfinkel, D. B., Alexander, K. A., McDonald-Mosley, R., Willie, T. C., & Decker, M. R. (2017). Predictors of HIV-related risk perception and PrEP acceptability among young adult female family planning patients. AIDS Care, 29(6), 751–758. https://doi.org/10.1080/09540121.2016.1234679
   PubMed Web of Science ®Google Scholar
• Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11(2), 87–98. https://doi.org/10.4278/0890-1171-11.2.87
   PubMed Web of Science ®Google Scholar
• Goparaju, L., Experton, L. S., Praschan, N. C., Warren-Jeanpiere, L., Young, M. A., & Kassaye, S. (2015). Women want pre-exposure prophylaxis but are advised against it by their HIV-positive counterparts. Journal of AIDS & Clinical Research, 6(11), 1–10. https://doi.org/10.4172/2155-6113.1000522
   PubMedGoogle Scholar
• Goparaju, L., Praschan, N., Warren-Jeanpiere, L., Experton, L., Young, M., & Kassaye, S. (2017). Stigma, partners, providers and costs: Potential barriers to PrEP uptake among US women. Journal of AIDS & Clinical Research, 8(9), 730–748. https://doi.org/10.4172/2155-6113.1000730
   PubMedGoogle Scholar
• Goulbourne, T., & Yanovitzky, I. (2021). The communication infrastructure as a social determinant of health: Implications for health policymaking and practice. The Milbank Quarterly, 99(1), 24–40. https://doi.org/10.1111/1468-0009.12496
   PubMed Web of Science ®Google Scholar
• HAHSTA. (2017). Annual epidemiology & surveillance report: Data Through December 2016. https://doh.dc.gov/sites/default/files/dc/sites/doh/publication/attachments/HAHSTA%20Annual%20Report%202017%20-%20Final%20%282%29%20%282%29pdf
   Google Scholar
• HAHSTA. (2020). Annual epidemiology & surveillance report: Data Through December 2019. https://doh.dc.gov/sites/default/files/dc/sites/doh/publication/attachments/HAHSTA%20Annual%20Report%202017%20-%20Final%20%282%29%20%282%29.pdf
   Google Scholar
• Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (2006). Multivariate data analysis (6th ed.). Pearson Prentice Hall.
   Google Scholar
• Hennessy, M., Bleakley, A., & Fishbein, M. (2012). Measurement models for reasoned action theory. The Annals of the American Academy of Political and Social Science, 640(1), 42–57. https://doi.org/10.1177/0002716211424709
   PubMedGoogle Scholar
• Hornik, R., Volinsky, A., Mannis, S., Gibson, L., Brennan, E., Lee, S., & Tan, A. (2018). Validating the Hornik & Woolf approach to choosing media campaign themes: Do promising beliefs predict behavior change in a longitudinal study? Communication Methods and Measures, 13(1), 60–68. https://doi.org/10.1080/19312458.2018.1515902
   PubMed Web of Science ®Google Scholar
• Hornik, R., & Woolf, K. D. (1999). Using cross-sectional surveys to plan message strategies. Social Marketing Quarterly, 5(2), 34–41. https://doi.org/10.1080/15245004.1999.9961044
   Google Scholar
• Huang, Y. A., Zhu, W., Smith, D. K., Harris, N., & Hoover, K. W. (2018). HIV preexposure prophylaxis, by race and ethnicity—United States, 2014-2016. Morbidity and Mortality Weekly Report, 67(41), 1147–1150. https://doi.org/10.15585/mmwr.mm6741a3
   PubMed Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hull, S. J., Hennessy, M., Bleakley, A., Fishbein, M., & Jordan, A. (2011). Identifying the causal pathways from religiosity to delayed adolescent sexual behavior. Journal of Sex Research, 48(6), 543–553. https://doi.org/10.1080/00224499.2010.521868
   PubMed Web of Science ®Google Scholar
• Jemmott, J. B., Jemmott, L. S., Braverman, P. K., & Fong, G. T. (2005). HIV/STD risk reduction interventions for African American and Latino adolescent girls at an adolescent medicine clinic: A randomized controlled trial. Archives of Pediatrics & Adolescent Medicine, 159(5), 440–449. https://doi.org/10.1001/archpedi.159.5.440
   PubMed Web of Science ®Google Scholar
• Jemmott, J. B., Jemmott, L. S., & Fong, G. T. (1998). Abstinence and safer sex HIV risk-reduction interventions for African American adolescents: A randomized controlled trial. Journal of the American Medical Association, 279(19), 1529–1536. https://doi.org/10.1001/jama.279.19.1529
   PubMed Web of Science ®Google Scholar
• Jordan, A., Piotrowski, J. T., Bleakley, A., & Mallya, G. (2012). Developing media interventions to reduce household sugar-sweetened beverage consumption. The Annals of the American Academy of Political and Social Science, 640(1), 118–135. https://doi.org/10.1177/0002716211425656
   Google Scholar
• Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
   Google Scholar
• Khan, M. R., Behrend, L., Adimora, A. A., Weir, S. S., Tisdale, C., & Wohl, D. A. (2011). Dissolution of primary intimate relationships during incarceration and associations with post-release STI/HIV risk behavior in a Southeastern city. Sexually Transmitted Diseases, 38(1), 43–47. https://doi.org/10.1097/OLQ.0b013e3181e969d0
   PubMed Web of Science ®Google Scholar
• Kline, R. B. (2010). Promise and pitfalls of structural equation modeling in gifted research. In B. Thompson & R. F. Subotnik (Eds.), Methodologies for conducting research on giftedness (pp. 147–169). American Psychological Association. https://doi.org/10.1037/12079-007
   Google Scholar
• LaCroix, J. M., Snyder, L. B., Huedo-Medina, T. B., & Johnson, B. T. (2014). Effectiveness of mass media interventions for HIV prevention, 1986-2013: A meta-analysis. Journal of Acquired Immune Deficiency Syndromes, 66(Suppl. 3), S329–340. https://doi.org/10.1097/QAI.0000000000000230
   PubMedGoogle Scholar
• MacCallum, R. C., Roznowski, M., & Necowitz, L. B. (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111(3), 490–504. https://doi.org/10.1037/0033-2909.111.3.490
   PubMed Web of Science ®Google Scholar
• McEachan, R. R., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5(2), 97–144. https://doi.org/10.1080/17437199.2010.521684
   Web of Science ®Google Scholar
• McEachan, R. R., Taylor, N., Harrison, R., Lawton, R., Gardner, P., & Conner, M. (2016). Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors. Annals of Behavioral Medicine, 50(4), 592–612. https://doi.org/10.1007/s12160-016-9798-4
   PubMed Web of Science ®Google Scholar
• Muthén, B. O., Muthén, L. K., & Asparouhov, T. (2017). Regression and mediation analysis using Mplus. Muthén & Muthén.
   Google Scholar
• Noar, S. M. (2006). A 10-year retrospective of research in health mass media campaigns: Where do we go from here? Journal of Health Communication, 11(1), 21–42. https://doi.org/10.1080/10810730500461059
   PubMed Web of Science ®Google Scholar
• Noar, S. M. (2008). Behavioral interventions to reduce HIV-related sexual risk behavior: Review and synthesis of meta-analytic evidence. AIDS and Behavior, 12(3), 335–353. https://doi.org/10.1007/s10461-007-9313-9
   PubMed Web of Science ®Google Scholar
• 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. https://doi.org/10.1097/QAD.0b013e32831c5500
   PubMed Web of Science ®Google Scholar
• Ojikutu, B. O., Bogart, L. M., Higgins-Biddle, M., Dale, S. K., Allen, W., Dominique, T., & Mayer, K. H. (2018). Facilitators and barriers to pre-exposure prophylaxis (PrEP) use among black individuals in the United States: Results from the national survey on HIV in the black community (NSHBC). AIDS and Behavior, 22(11), 1–12. https://doi.org/10.1007/s10461-018-2067-8
   Web of Science ®Google Scholar
• Patel, A. S., Goparaju, L., Sales, J. M., Mehta, C. C., Blackstock, O. J., Seidman, D., Ofotokun, I., Kempf, M. C., Fischl, M. A., Golub, E. T., Adimora, A. A., French, A. L., DeHovitz, J., Wingood, G., Kassaye, S., & Sheth, A. N. (2019). PrEP eligibility among at-risk women in the Southern United States: Associated factors, awareness, and acceptability. Journal of Acquired Immune Deficiency Syndromes, 80(5), 527–532. https://doi.org/10.1097/QAI.0000000000001950
   PubMed Web of Science ®Google Scholar
• Pulerwitz, J., Amaro, H., Jong, W. D., Gortmaker, S. L., & Rudd, R. (2002). Relationship power, condom use and HIV risk among women in the USA. AIDS Care, 14(6), 789–800. https://doi.org/10.1080/0954012021000031868
   PubMed Web of Science ®Google Scholar
• Scott, R. K., Hull, S. J., Richards, R. C., Klemmer, K., Salmoran, F., & Huang, J. C. (2021). Awareness, acceptability, and intention to initiate HIV pre-exposure prophylaxis among pregnant women. AIDS Care, 34(2), 1–13. https://doi.org/10.1080/09540121.2021.1916870
   PubMed Web of Science ®Google Scholar
• Siegler, A. J., Mouhanna, F., Giler, R. M., Weiss, K., Pembleton, E., Guest, J., Jones, J., Castel, A., Yeung, H., Kramer, M., McCallister, S., & Sullivan, P. S. (2018). The prevalence of pre-exposure prophylaxis use and the pre-exposure prophylaxis–to-need ratio in the fourth quarter of 2017, United States. Annals of Epidemiology, 28(12), 841–849. https://doi.org/10.1016/j.annepidem.2018.06.005
   PubMed Web of Science ®Google Scholar
• Smith, D. K., Toledo, L., Smith, D. J., Adams, M. A., & Rothenberg, R. (2012). Attitudes and program preferences of African-American urban young adults about pre-exposure prophylaxis (PrEP). AIDS Education and Prevention, 24(5), 408–421. https://doi.org/10.1521/aeap.2012.24.5.408
   PubMed Web of Science ®Google Scholar
• Smith, D. K., Van Handel, M., & Grey, J. (2018). Estimates of adults with indications for HIV pre-exposure prophylaxis by jurisdiction, transmission risk group, and race/ethnicity, United States, 2015. Annals of Epidemiology, 28(12), 850–857. https://doi.org/10.1016/j.annepidem.2018.05.003
   PubMed Web of Science ®Google Scholar
• Snyder, L. B. (2007). Health communication campaigns and their impact on behavior. Journal of Nutrition Education and Behavior, 39(2), S32–40. https://doi.org/10.1016/j.jneb.2006.09.004
   PubMed Web of Science ®Google Scholar
• Snyder, L. B., & Hamilton, M. A. (2002). A meta-analysis of US health campaign effects on behavior: Emphasize enforcement, exposure, and new information, and beware the secular trend. In R. C. Hornik (Ed.), Public health communication (pp. 373–400). Lawrence Erlbaum Associates.
   Google Scholar
• Thigpen, M. C., Kebaabetswe, P. M., Paxton, L. A., Smith, D. K., Rose, C. E., Segolodi, T. M., Henderson, F. L., Pathak, S. R., Soud, F. A., Chillag, K. L., Mutanhaurwa, R., Chirwa, L. I., Kasonde, M., Abebe, D., Buliva, E., Gvetadze, R. J., Johnson, S., Sukalac, T., Thomas, V. T. … Brooks, J. T. (2012). Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. The New England Journal of Medicine, 367(5), 423–434. https://doi.org/10.1056/NEJMoa1110711
   PubMed Web of Science ®Google Scholar
• United States Department of Health and Human Services. (2019). Ending the HIV epidemic in the United States. https://www.hiv.gov/federal-response/ending-the-hiv-epidemic/overview
   Google Scholar
• Wejnert, C., Raymond, H. F., Robbins, T., Prejean, J., Hall, H. I., McCray, E., Paz-Bailey, G., & NHBS study group. (2017). Achieving greater HIV prevention impact through CDC’s national HIV behavioral surveillance system. Journal of Acquired Immune Deficiency Syndromes, 75(Suppl. 3), S249–252.
   PubMedGoogle Scholar
• Wingood, G. M., & DiClemente, R. J. (2000). Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Health Education & Behavior, 27(5), 539–565. https://doi.org/10.1177/109019810002700502
   PubMed Web of Science ®Google Scholar
• Wingood, G. M., Dunkle, K., Camp, C., Patel, S., Painter, J. E., Rubtsova, A., & DiClemente, R. J. (2013). Racial differences and correlates of potential adoption of preexposure prophylaxis: Results of a national survey. Journal of Acquired Immune Deficiency Syndromes, 63(Suppl. 1), S95–101. https://doi.org/10.1097/QAI.0b013e3182920126
   PubMedGoogle Scholar
• Yzer, M. (2017). Reasoned action as an approach to understanding and predicting health message outcomes. In R. Parrot (Ed.), Oxford Research Encyclopedia of Communication (pp. 21). Oxford University Press. https://doi.org/10.1093/acrefore/9780190228613.013.255
   Google Scholar