nach oben

AIDS and Behavior

Erschienen in:

01.07.2012 | Original Paper

Streaming Weekly Soap Opera Video Episodes to Smartphones in a Randomized Controlled Trial to Reduce HIV Risk in Young Urban African American/Black Women

verfasst von: Rachel Jones, Lorraine J. Lacroix

Erschienen in: AIDS and Behavior | Ausgabe 5/2012

Einloggen, um Zugang zu erhalten

Abstract

Love, Sex, and Choices is a 12-episode soap opera video series created as an intervention to reduce HIV sex risk. The effect on women’s HIV risk behavior was evaluated in a randomized controlled trial in 238 high risk, predominately African American young adult women in the urban Northeast. To facilitate on-demand access and privacy, the episodes were streamed to study-provided smartphones. Here, we discuss the development of a mobile platform to deliver the 12-weekly video episodes or weekly HIV risk reduction written messages to smartphones, including; the technical requirements, development, and evaluation. Popularity of the smartphone and use of the Internet for multimedia offer a new channel to address health disparities in traditionally underserved populations. This is the first study to report on streaming a serialized video-based intervention to a smartphone. The approach described here may provide useful insights in assessing advantages and disadvantages of smartphones to implement a video-based intervention.

Centers for Disease Control and Prevention [Internet]. HIV among women. Atlanta: U.S. Department of Health and Human Services; 2011 [cited 2011]. Available from: http://www.cdc.gov/hiv/topics/women/index.htm.

Emmers-Sommer TM, Allen M. Safer sex in personal relationships: the role of sexual scripts in HIV infection and prevention. Mahwah: Lawrence Erlbaum Associates; 2005.

Jones R. Sex scripts and power: a framework to explain urban women’s HIV sexual risk with male partners. Nurs Clin North Am. 2006;41(3):425–36.PubMedCrossRef

Jones R, Oliver M. Young urban women’s patterns of unprotected sex with men engaging in HIV risk behaviors. AIDS Behav. 2007;11(6):812–21.PubMedCrossRef

Ortiz-Torres B, Williams SP, Ehrhardt AA. Urban women’s gender scripts: implications for HIV prevention. Cult Health Sex. 2003;5(1):1–17.CrossRef

Centers for Disease Control and Prevention [Internet]. HIV surveillance in women. Atlanta: U.S. Dept of Health and Human Services; 2011 [updated May 20, 2011; cited 2011]. Available from: http://www.cdc.gov/hiv/topics/surveillance/resources/slides/women/.

Jones R. Reliability and validity of the sexual pressure scale. Res Nurs Health. 2006;29:281–93.PubMedCrossRef

Jones R, Gulick E. Reliability and validity of the sexual pressure scale for women—revised. Res Nurs Health. 2009;32:71–85.PubMedCrossRef

Noar SM, Black HG, Pierce LB. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS. 2009;23:107–15.PubMedCrossRef

10.

Noar SM. Computer technology-based interventions in HIV prevention: state of the evidence and future directions for research. AIDS Care. 2011;23(5):525–33.PubMedCrossRef

11.

Lightfoot M, Comulada WS, Stover G. Computerized HIV preventive intervention for adolescents: indications of efficacy. Am J Public Health. 2007;97(6):1027–30.PubMedCrossRef

12.

PC Magazine [Internet]. Definition of: smartphone. New York: Ziff Davis, Inc; 2011 [cited 2011 Dec 5]. Available from: http://www.pcmag.com/encyclopedia_term/0,2542,t=Smartphone&i=51537,00.asp.

13.

Cross J. PC World [Internet]. Laptop vs. netbook vs. smartphone—work, school, and play: Which portable computer is the do-everything device for you? San Francisco: PCWorld Communications, Inc; 2011; 2010 Jun 8 [cited 2011]. Available from: http://www.pcworld.com/article/198305/laptop_vs_netbook_vs_smartphone.html.

14.

Morgan Stanley [Internet]. The mobile internet report. New York: Morgan Stanley Research; 2009; 2009 Dec 15 [cited 2011]. Available from: http://www.morganstanley.com/institutional/techresearch/pdfs/mobile_internet_report.pdf.

15.

Smith A. Pew Internet [Internet]. Mobile access 2010. Washington, DC: Pew Research Center; 2010 Jul 7 [cited 2011]. Available from: http://pewinternet.org/~/media//Files/Reports/2010/PIP_Mobile_Access_2010.pdf.

16.

Smith A. Pew Internet [Internet]. Technology trends among people of color. Washington, DC: Pew Research Center; 2010 Sep 17 [cited 2011]. Available from: http://pewinternet.org/Commentary/2010/September/Technology-Trends-Among-People-of-Color.aspx.

17.

Smith A. Pew Internet [Internet]. Smartphone adoption and usage. Washington, DC: Pew Research Center; 2011 Jul 7 [cited 2011 Nov 18]. Available from: http://www.pewinternet.org/~/media//Files/Reports/2011/PIP_Smartphones.pdf.

18.

Horrigan J. Pew Internet [Internet]. Wireless internet use. Washington, DC: Pew Research Center; 2009 Jul [cited 2011]. Available from: http://web.pewinternet.org/~/media/Files/Reports/2009/Wireless-Internet-Use-With-Topline.pdf.

19.

Lenhart A, Ling R, Campbell S, Purcell K. Pew Internet [Internet]. Teens and mobile phones: text messaging explodes as teens embrace it as the centerpiece of their communication strategies with friends. Washington, DC: Pew Research Center; 2010 Apr 20 [cited 2011]. Available from: http://pewinternet.org/~/media/Files/Reports/2010/PIP-Teens-and-Mobile-2010.pdf.

20.

Ackerman MJ, Filart R, Burgess LP, Lee I, Poropatich RK. Developing next-generation telehealth tools and technologies: patients, systems, and data perspectives. Telemed J E Health. 2010;16(1):93–5.PubMedCrossRef

21.

Doam CR, Portilla LM, Sayre MH. NIH conference on the future of telehealth: essential tools and technologies for clinical research and care—a summary, June 25–26, 2009 Bethesda, Maryland. Telemed J E Health. 2010;16(1):89–92.CrossRef

22.

Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya. Lancet. 2010;376:1838–45.PubMedCrossRef

23.

Mitchell KJ, Bull S, Kiwanuka J, Ybarra ML. Cell phone usage among adolescents in Uganda: acceptability for relaying health information. Health Educ Res. 2011;26(5):770–81.PubMedCrossRef

24.

Swendeman D, Rotheram-Borus MJ. Innovation in sexually transmitted disease and HIV prevention: Internet and mobile phone delivery vehicles for global diffusion. Curr Opin Psychiatry. 2010;23(2):139–44.PubMedCrossRef

25.

Puccio JA, Belzer M, Olson J, Martinez M, Salata C, Tucker D, et al. The use of cell phone reminder calls for assisting HIV-infected adolescents and young adults to adhere to Highly Active Antiretroviral Therapy: a pilot study. AIDS Patient Care STDS. 2006;20(6):438–44.PubMedCrossRef

26.

Cornelius JB, Cato M, St. Lawrence J, Boyer CB, Lightfoot M. Development and pretesting multimedia HIV-prevention text messages for mobile cell phone delivery. J Assoc Nurses AIDS Care. 2011;22(5):407–13.PubMedCrossRef

27.

Whittaker R, Dorey E, Bramley D, Bullen C, Denny S, Elley CR, et al. A theory-based video messaging mobile phone intervention for smoking cessation: randomized controlled trial. J Med Internet Res. 2011;13(1):e10.PubMedCrossRef

28.

Whittaker R, Maddison R, McRobbie H, Bullen C, Denny S, Dorey E, et al. A multimedia mobile phone-based youth smoking cessation intervention: findings from content development and piloting studies. J Med Internet Res. 2008;10(5):e49.PubMedCrossRef

29.

Helix Media Streaming Solutions [Internet]. [date unknown]. Seattle: RealNetworks [cited 2011]. Available from: http://www.realnetworks.com/helix/streaming-media-solutions.aspx.

30.

Falik Y, Averbuch A, Yechiali U. Transmission algorithm for video streaming over cellular networks. Wireless Netw. 2010;16(5):1459–75.CrossRef

31.

Jones R. Soap opera video on handheld computers to reduce young urban women’s HIV sex risk. AIDS Behav. 2008;12:876–84.PubMedCrossRef

32.

O’Donnell CR, O’Donnell L, San Doval A, Duran R, Labes K. Reductions in STD infection subsequent to an STD clinic visit using video-based patient education to supplement provider interactions. Sex Transm Dis. 1998;25:161–7.PubMedCrossRef

33.

Roye C, Silverman PP, Krauss B. A brief, low-cost, theory-based intervention to promote dual method use by Black and Latina female adolescents: a randomized clinical trial. Health Educ Behav. 2007;34(4):608–21.PubMed

34.

Warner L, Klausner JD, Rietmeijer CA, Malotte CK, O’Donnell LO, Margolis AD, et al. Effect of a brief video intervention on incident infection among patients attending sexually transmitted disease clinics. PLoS Med. 2008;5(6):919–27.CrossRef

35.

Roberts DF. Media and youth: access, exposure, and privatization. J Adolesc Health. 2000;27S:8–14.CrossRef

36.

Singhal A, Rogers EM. The status of entertainment–education worldwide. In: Singhal A, Cody MJ, Rogers EM, Sabido M, editors. Entertainment–education and social change: history, research, and practice. Mahwah: Lawrence Erlbaum Associates, Inc.; 2004. p. 3–20.

37.

Petraglia J. Narrative intervention in behavior and public health. J Health Commun. 2007;12:493–505.PubMedCrossRef

38.

Kuhlmann AKS, Kraft JM, Galavotti C, Creek TL, Mooki M, Ntumy R. Radio role models for the prevention of mother-to-child transmission of HIV and HIV testing among pregnant women in Botswana. Health Promot Int. 2008;23(3):260–8.CrossRef

39.

Vaughan PW, Rogers EM. A staged model of communication effects: evidence from an entertainment–education radio soap opera in Tanzania. J Health Commun. 2000;5:203–27.PubMedCrossRef

40.

Davin S. Medical dramas as a health promotion resource. Int J Health Promot Educ. 2000;38(3):109–12.

41.

Borrayo EA. Where’s Maria? A video to increase awareness about breast cancer and mammography screening among low-literacy Latinas. Prev Med. 2004;39:99–110.PubMedCrossRef

42.

Kennedy MG, O’Leary A, Beck V, Pollard K, Simpson P. Increases in calls to the CDC National STD and AIDS Hotline following AIDS-related episodes in a soap opera. J Commun. 2004;54(2):287–301.CrossRef

43.

Singhal A, Cody MJ, Rogers SM, Santelli JS, editors. Entertainment–education and social change: history, research, and practice. Mahwah: Lawrence Erlbaum Associates; 2004.

44.

Vaughan PW, Rogers EM, Singhal A, Swalehe RM. Entertainment–education and HIV/AIDS prevention: a field experiment in Tanzania. J Health Commun. 2000;5S:81–100.

45.

Shapiro D, Meekers D, Tambashe B. Exposure to the “SIDA dans la Cite” AIDS prevention television series in Cote d’Ivoire, sexual risk behaviour and condom use. AIDS Care. 2003;15(3):303–14.PubMedCrossRef

46.

Rogers EM. Delivering entertainment–education health messages through the Internet to hard-to-reach U.S. audiences in the Southwest. In: Singhal A, Cody PJ, Rogers SM, Sabido M, editors. Entertainment–education and social change: history, research, and practice. Mahwah: Lawrence Erlbaum Associates; 2004. p. 281–98.

47.

Gagnon JH, Simon W. Sexual conduct: the social sources of human sexuality. 2nd ed. Piscataway: Aldine Transaction Press; 2005.

48.

Simon W, Gagnon JH. Sexual scripts: permanence and change. Arch Sex Behav. 1986;15(2):97–120.PubMedCrossRef

49.

Smith CA, Kirby LD. Consequences require antecedents: toward a process model of emotion elicitation. In: Forgas JP, editor. Feeling and thinking: the role of affect in social cognition. 2nd ed. New York: Cambridge University Press; 2000. p. 83–106.

50.

Stacy AW, Newcomb MD, Ames SL. Implicit cognition and HIV risk behavior. J Behav Med. 2000;23(5):475–99.PubMedCrossRef

51.

Barrett EAM. Using Rogers’ science of unitary human beings in nursing practice. Nurs Sci Q. 1988;1:50–1.PubMedCrossRef

52.

Barrett EAM. Power as knowing participation in change: what’s new and what’s next. Nurs Sci Q. 2010;23(1):47–51.PubMedCrossRef

53.

Mays VM, Cochran SD, Zamudio A. HIV prevention research: Are we meeting the needs of African American men who have sex with men? J Black Psychol. 2004;30:78–105.PubMedCrossRef

54.

Jones R. Survey data collection using audio computer assisted self-interview. West J Nurs Res. 2003;25(3):349–58.PubMedCrossRef

55.

Metzger DS, Koblin B, Turner C, Navaline H, Valenti F, Holte S, et al. Randomized controlled trial of audio computer-assisted self-interviewing: utility and acceptability in longitudinal studies. Am J Epidemiol. 2000;152(2):99–106.PubMedCrossRef

56.

Rogers SM. Audio computer assisted self interviewing to measure HIV risk behaviours in a clinic population. Sex Transm Infect. 2005;81(6):501–7.PubMedCrossRef

57.

Schackman BR, Dastur Z, Ni Q, Callahan MA, Berger J, Rubin DS. Sexually active HIV-positive patients frequently report never using condoms in audio computer-assisted self-interviews conducted at routine clinical visits. AIDS Patient Care STDS. 2008;22(2):123–9.PubMedCrossRef

58.

Jones R. Relationships of sexual imposition, dyadic trust, and sensation seeking with sexual risk behavior in young urban women. Res Nurs Health. 2004;27:185–97.PubMedCrossRef

59.

Jones R. Handheld computers to run ACASI to assess HIV risk and deliver tailored soap opera video feedback: acceptability among young adult urban women. J Assoc Nurses AIDS Care. 2011. doi:10.1016/j.jana.2011.04.001.

60.

Schroder KE, Carey MP, Vanable PA. Methodological challenges in research on sexual risk behavior. I. Item content, scaling, and data analytical options. Ann Behav Med. 2003;26:76–103.PubMedCrossRef

61.

Noar SM, Cole C, Carlyle K. Condom use measurement in 56 studies of sexual risk. Arch Sex Behav. 2006;35:327–45.PubMedCrossRef

62.

Cooley PC, Rogers SM, Turner CF, Al-Tayyib AA, Willis G, Ganapathi L. Using touch screen audio-CASI to obtain data on sensitive topics. Comput Human Behav. 2001;17:285–93.PubMedCrossRef

63.

Kreuter MW, Wray RJ. Tailored and targeted health communication: strategies for enhancing information relevance. Am J Health Behav. 2003;27(Supplement 3):S227–32.PubMedCrossRef

64.

Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull. 2007;133(4):673–93.PubMedCrossRef

65.

Albarracin D, Gillette JC, Earl AN, Glasman LR, Durantini MR. Test of major assumptions about behavior change: a comprehensive look at the effects of passive and active HIV-prevention interventions. Psychol Bull. 2005;131(6):856–97.PubMedCrossRef

66.

Centers for Disease Control and Prevention [Internet]. High-impact HIV prevention: CDC’s approach to reducing HIV infections in the United States. Atlanta: U.S. Department of Health and Human Services; 2011 Aug [cited 2011]. Available from: http://www.cdc.gov/hiv/strategy/dhap/pdf/nhas_booklet.pdf.

67.

Curran K, Annesley S. Transcoding media for bandwidth constrained mobile devices. Int J Netw Manage. 2005;15:75–88.CrossRef

68.

Helix Server [Internet]. Seattle: RealNetworks; 2010 [cited 2011]. Available from: http://www.realnetworks.com/uploadedFiles/helix/resource-library/Datasheet-Helix-Server.pdf.

69.

Glasgow RE, Lichtenstein E, Marcus AC. Why don’t we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health. 2003;93(8):1261–7.PubMedCrossRef

70.

Wikipedia [Internet]. Codec. San Francisco: Wikimedia Foundation; 2011 Dec 14 [cited 2011]. Available from: http://en.wikipedia.org/wiki/codec.

71.

Stevens VJ, Funk KL, Brantley PJ, Erlinger TPl, Myers VH, Champagne C, et al. Design and implementation of an interactive website to support long-term maintenance of weight loss. J Med Internet Res. 2008;10(1):e1.PubMedCrossRef

72.

Motorola [Internet]. White paper: Opportunity and impact of video on LTE Networks. Illinois: Motoroloa, Inc.; 2009 Mar [cited 2011]. Available from: http://business.motorola.com/experiencelte/pdf/LTEVideoImpactWhitePaper.pdf.

73.

Nielsen [Internet]. Nielsen’s State of the media 2010. U.S. audiences and devices. New York: Nielsen; 2011 Jan [cited 2011]. Available from: http://blog.nielsen.com/nielsenwire/wp-content/uploads/2011/01/nielsen-media-fact-sheet-jan-11.pdf.

74.

Crankshaw T, Corless IB, Giddy J, Nicholas PK, Eichbaum Q, Butler LM. Exploring the patterns of use and the feasibility of using cellular phones for clinic appointment reminders. AIDS Patient Care STDS. 2010;4(11):729–34.CrossRef

75.

Kellog D. Nielsen [Internet]. 4G phones are here, but are U.S. consumers ready? New York: Nielsen; 2011 Jan 6 [cited 2011]. Available from: http://blog.nielsen.com/nielsenwire/online_mobile/4g-phones-are-here-but-are-u-s-consumers-ready/.

76.

77.

Card JF, Kuhn T, Solomon J, Benner TA, Wingood GM, DiClemente RJ. Translating an effective group-based HIV prevention program to a program delivered primarily by a computer: methods and outcomes. AIDS Educ Prev. 2011;23(2):159–74.PubMedCrossRef

78.

Arthur C. The Gaurdian [Internet]. How the smartphone is killing the PC. London: Guardian News and Media; 2011 Jun 5 [cited 2011]. Available from: http://www.guardian.co.uk/technology/2011/jun/05/smartphones-killing-pc.

79.

Rogers E. Diffusion of innovations. 5th ed. New York: Free Press; 2003.

80.

Kalichman SC, Cherry C, Browne-Sperling F. Effectiveness of a video-based motivational skills-building HIV risk-reduction intervention for inner-city African American men. J Consult Clin Psychol. 1999;67:959–66.PubMedCrossRef

Titel: Streaming Weekly Soap Opera Video Episodes to Smartphones in a Randomized Controlled Trial to Reduce HIV Risk in Young Urban African American/Black Women
verfasst von: Rachel Jones
Lorraine J. Lacroix
Publikationsdatum: 01.07.2012
Verlag: Springer US
Erschienen in: AIDS and Behavior / Ausgabe 5/2012
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI: https://doi.org/10.1007/s10461-012-0170-9

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

25.04.2024 | Hypotonie | Nachrichten

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Streaming Weekly Soap Opera Video Episodes to Smartphones in a Randomized Controlled Trial to Reduce HIV Risk in Young Urban African American/Black Women

Abstract

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

Adjuvante Immuntherapie verlängert Leben bei RCC

Alectinib verbessert krankheitsfreies Überleben bei ALK-positivem NSCLC

Update Innere Medizin

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 5/2012

Predicting Partner HIV Testing and Counseling Following a Partner Notification Intervention

Vocational Training with HIV Prevention for Ugandan Youth

Infant Feeding Practices were not Associated with Breast Milk HIV-1 RNA Levels in a Randomized Clinical Trial in Botswana

Intervention Outcomes Among HIV-Affected Families Over 18 Months

Behaviour Change Counselling for ARV Adherence Support Within Primary Health Care Facilities in the Western Cape, South Africa

Factors Associated with the Early Resumption of Sexual Activity Following Medical Male Circumcision in Nyanza Province, Kenya

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

Adjuvante Immuntherapie verlängert Leben bei RCC

Alectinib verbessert krankheitsfreies Überleben bei ALK-positivem NSCLC

Update Innere Medizin