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AIDS and Behavior
Erschienen in: AIDS and Behavior 5/2020

11.12.2019 | Original Paper

Social Determinants of Potential eHealth Engagement Among People Living with HIV Receiving Ryan White Case Management: Health Equity Implications from Project TECH

verfasst von: Stephanie L. Marhefka, Elizabeth Lockhart, DeAnne Turner, Wei Wang, M. Margaret Dolcini, Julie A. Baldwin, Regina Maria Roig-Romero, Celia M. Lescano, Robert L. Glueckauf

Erschienen in: AIDS and Behavior | Ausgabe 5/2020

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Abstract

Objectives

Evaluate the relationships between social characteristics of Floridian persons living with HIV (PLWH) and both use of digital technologies and willingness to use eHealth for HIV-related information.

Methods

Ryan White case managers (N = 155) from 55 agencies in 47 Florida counties administered a survey to PLWH (N = 1268) from June 2016-April 2017. Multilevel logistic regression models were used to identify correlates of technology use and willingness.

Results

Use of mobile phones with text messaging was high (89%). Older (vs. younger) adults and non-Hispanic blacks (vs. whites) were less likely to use most technologies. These groups, along with Hispanics (vs. whites) were less likely to express willingness to use technologies for HIV-related information in models adjusting for use.

Conclusions

Among PLWH in Florida, eHealth-related inequities exist. Willingness to engage in HIV-related eHealth is affected by social determinants, even when considering technology access. Although eHealth may reduce some healthcare inequities, it may exacerbate others.
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Literatur
1.
Navarra A-MD, Gwadz MV, Whittemore R, Bakken SR, Cleland CM, Burleson W, et al. Health technology-enabled interventions for adherence support and retention in care among US HIV-infected adolescents and young adults: an integrative review. AIDS Behav. 2017;21(11):3154–71.PubMed
2.
Henny KD, Wilkes AL, McDonald CM, Denson DJ, Neumann MS. A rapid review of eHealth interventions addressing the continuum of HIV care (2007-2017). AIDS Behav. 2018;22(1):43–63.PubMedPubMedCentral
3.
Cooper V, Clatworthy J, Whetham J, Consortium E. mHealth interventions to support self-management in HIV: a systematic review. Open AIDS J. 2017;11:119–32.PubMed
4.
Bussone A, Stumpf S, Wilson S. The use of online forums by people living with HIV for help in understanding personal health information. Int J Med Inform. 2017;108:64–70.PubMed
5.
Mo PK, Coulson NS. Are online support groups always beneficial? A qualitative exploration of the empowering and disempowering processes of participation within HIV/AIDS-related online support groups. Int J Nurs Stud. 2014;51(7):983–93.PubMed
6.
Flickinger TE, DeBolt C, Wispelwey E, Laurence C, Plews-Ogan E, Waldman AL, et al. Content analysis and user characteristics of a smartphone-based online support group for people living with HIV. Telemed J E Health. 2016;22(9):746–54.PubMed
7.
Marhefka SL, Turner D, Lockhart E, Rivara A, Wang W, Shuter J. Meeting our patients “where they are”: video-group smoking cessation for people living with HIV. J Assoc Nurses AIDS Care. 2018;29(2):338–44.PubMed
8.
Marhefka SL, Buhi ER, Baldwin J, Chen H, Johnson A, Lynn V, et al. Effectiveness of Healthy Relationships video-group—a videoconferencing group intervention for women living with HIV: preliminary findings from a randomized controlled trial. Telemed J E Health. 2014;20(2):128–34.PubMedPubMedCentral
9.
Shuter J, Bernstein SL, Moadel AB. Cigarette smoking behaviors and beliefs in persons living with HIV/AIDS. Am J Health Behav. 2012;36(1):75–85.PubMedPubMedCentral
10.
Cote J, Rouleau G, Godin G, Ramirez-Garcia P, Gueheneuc YG, Nahas G, Tremblay G, Otis J, Hernandez A. Acceptability and feasibility of a virtual intervention to help people living with HIV manage their daily therapies. J Telemed Telecare. 2012;18(7):409–12.PubMed
11.
Cote J, Godin G, Ramirez-Garcia P, Rouleau G, Bourbonnais A, Gueheneuc YG, Tremblay C, Otis J. Virtual intervention to support self-management of antiretroviral therapy among people living with HIV. J Med Internet Res. 2015;17(1):e6.PubMedPubMedCentral
12.
Marhefka SL, Fuhrmann HJ, Gilliam P, Lopez B, Baldwin J. Interest in, concerns about, and preferences for potential video-group delivery of an effective behavioral intervention among women living with HIV. AIDS Behav. 2012;16(7):1961–9.PubMed
13.
Kempf MC, Huang CH, Savage R, Safren SA. Technology-delivered mental health interventions for people living with HIV/AIDS (PLWHA): a review of recent advances. Curr HIV/AIDS Rep. 2015;12(4):472–80.PubMedPubMedCentral
14.
Green SM, Lockhart E, Marhefka SL. Advantages and disadvantages for receiving Internet-based HIV/AIDS interventions at home or at community-based organizations. AIDS Care. 2015;27(10):1304–8.PubMedPubMedCentral
15.
Griffiths F, Lindenmeyer A, Powell J, Lowe P, Thorogood M. Why are health care interventions delivered over the internet? A systematic review of the published literature. J Med Internet Res. 2006;8(2):e10.PubMedPubMedCentral
16.
Ahern DK, Kreslake JM, Phalen JM. What is eHealth: perspectives on the evolution of eHealth research. J Med Internet Res. 2006;8(1):e4.PubMedPubMedCentral
17.
Ownby RL, Waldrop-Valverde D, Jacobs RJ, Acevedo A, Caballero J. Cost effectiveness of a computer-delivered intervention to improve HIV medication adherence. BMC Med Inform Decis Mak. 2013;13:29.PubMedPubMedCentral
18.
Glasgow RE, Phillips SM, Sanchez MA. Implementation science approaches for integrating eHealth research into practice and policy. Int J Med Inform. 2014;83(7):e1–11.PubMed
19.
Balas EA, Boren SA. Managing clinical knowledge for health care improvement. Yearbook Med inform. 2000;9(01):65–70.
20.
Bennett GG, Glasgow RE. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health. 2009;30:273–92.PubMed
21.
Bagot KL, Bladin CF, Vu M, Kim J, Hand PJ, Campbell B, et al. Exploring the benefits of a stroke telemedicine programme: an organisational and societal perspective. J Telemed Telecare. 2016;22(8):489–94.PubMed
22.
Green LW. Making research relevant: if it is an evidence-based practice, where’s the practice-based evidence? Fam Pract. 2008;25(suppl_1):i20–4.PubMed
23.
24.
25.
Shacham E, Stamm K, Overton ET. Can you hear me now? Limited use of technology among an urban HIV-infected cohort. AIDS Care. 2009;21(8):1000–6.PubMedPubMedCentral
26.
Calvert JK, Aidala AA, West JH. An ecological view of internet health information seeking behavior predictors: findings from the CHAIN study. Open AIDS J. 2013;7:42–6.PubMedPubMedCentral
27.
Kalichman SC, Benotsch EG, Weinhardt LS, Austin J, Luke W. Internet use among people living with HIV/AIDS: association of health information, health behaviors, and health status. AIDS Educ Prev. 2002;14(1):51–61.PubMed
28.
Thomas S, Shuter J. Internet access and usage in a sample of inner-city HIV-infected patients. J Assoc Nurses AIDS Care. 2010;21(5):444–8.PubMed
29.
Mayben JK, Giordano TP. Internet use among low-income persons recently diagnosed with HIV infection. AIDS Care. 2007;19(9):1182–7.PubMed
30.
Blackstock OJ, Haughton LJ, Garner RY, Horvath KJ, Norwood C, Cunningham CO. General and health-related Internet use among an urban, community-based sample of HIV-positive women: implications for intervention development. AIDS Care. 2015;27(4):536–44.PubMed
31.
Saberi P, Johnson MO. Correlation of internet use for health care engagement purposes and HIV clinical outcomes among HIV-positive individuals using online social media. J Health Commun. 2015;20(9):1026–32.PubMedPubMedCentral
32.
Huff A, Chumbler N, Cherry COB, Hill M. An in-depth mixed-methods approach to Ryan White HIV/AIDS care program comprehensive needs assessment from the Northeast Georgia Public Health District: The significance of patient privacy, psychological health, and social stigma to care. Eval Program Plan. 2015;49:137–48.
33.
Reif S, Golin CE, Smith SR. Barriers to accessing HIV/AIDS care in North Carolina: rural and urban differences. AIDS Care. 2005;17(5):558–65.PubMed
34.
Snyder JE, Snyder JE, Jensen M, Nguyen NX, Filice CE. Defining rurality in medicare administrative data. Med Care. 2017;55(12):e164–9.PubMed
35.
Viswanath K, Kreuter MW. Health disparities, communication inequalities, and eHealth. Am J Prev Med. 2007;32(5):S131–3.PubMedPubMedCentral
36.
Glasgow RE. eHealth evaluation and dissemination research. Am J Prev Med. 2007;32(5):S119–26.PubMed
37.
38.
Sharpe TT, Harrison KM, Dean HD. Summary of CDC consultation to address social determinants of health for prevention of disparities in HIV/AIDS, viral hepatitis, sexually transmitted diseases, and tuberculosis. Public Health Rep. 2010;125(4_suppl):11–5.PubMedPubMedCentral
39.
U.S. Census Bureau. Computer and Internet Use in the United States: 2016. United States Census Bureau; Accessed 15 Jan 2018.
40.
Williams EC, McFarland LV, Nelson KM. Alcohol consumption among urban, suburban, and rural Veterans Affairs outpatients. J Rural Health. 2012;28(2):202–10.PubMed
41.
42.
43.
44.
45.
46.
Dowshen N, Kuhns LM, Gray C, Lee S, Garofalo R. Feasibility of interactive text message response (ITR) as a novel, real-time measure of adherence to antiretroviral therapy for HIV + youth. AIDS Behav. 2013;17(6):2237–43.PubMed
47.
Garofalo R, Kuhns LM, Hotton A, Johnson A, Muldoon A, Rice D. A randomized controlled trial of personalized text message reminders to promote medication adherence among HIV-positive adolescents and young adults. AIDS Behav. 2016;20(5):1049–59.PubMedPubMedCentral
48.
Mayer JE, Fontelo P. Meta-analysis on the effect of text message reminders for HIV-related compliance. AIDS Care. 2017;29(4):409–17.PubMed
49.
Moore DJ, Pasipanodya EC, Umlauf A, Rooney AS, Gouaux B, Depp CA, et al. Individualized texting for adherence building (iTAB) for methamphetamine users living with HIV: a pilot randomized clinical trial. Drug Alcohol Depend. 2018;189:154–60.PubMedPubMedCentral
50.
Reback CJ, Grant DL, Fletcher JB, Branson CM, Shoptaw S, Bowers JR, et al. Text messaging reduces HIV risk behaviors among methamphetamine-using men who have sex with men. AIDS Behav. 2012;16(7):1993–2002.PubMedPubMedCentral
51.
Ganta V, Moonie S, Patel D, Hunt AT, Richardson J, Di John D, et al. Timely reminder interventions to improve annual Papanicolaou (Pap) smear rates among HIV-infected women in an outpatient center of southern Nevada: a short report. AIDS Care. 2017;29(9):1099–101.PubMed
52.
Nelson LA, Mulvaney SA, Gebretsadik T, Ho Y-X, Johnson KB, Osborn CY. Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes. J Am Med Inform Assoc. 2015;23(1):12–8.PubMedPubMedCentral
53.
Person AK, Blain ML, Jiang H, Rasmussen PW, Stout JE. Text messaging for enhancement of testing and treatment for tuberculosis, human immunodeficiency virus, and syphilis: a survey of attitudes toward cellular phones and healthcare. Telemed J E Health. 2011;17(3):189–95.PubMedPubMedCentral
54.
Martin T. Assessing mHealth: opportunities and barriers to patient engagement. J Health Care Poor Underserved. 2012;23(3):935–41.PubMed
55.
Smith A. Americans and their cell phones: mobile devices help people solve problems and stave off boredom, but create some new challenges and annoyances. Pew Research Center. 2011;2014:9.
56.
Smith A. Technology trends among people of color. Pew Internet & American Life Project. 2010.
57.
Dolcini MM, Catania JA, Cotto-Negron C, Canchola JA, Warren J, Ashworth C, et al. Challenges in reach with online sexual health information among African American youth: assessing access and engagement. Sex Res Social Policy. 2019;16(1):12–21.
58.
Duncan DT, Park SH, Goedel WC, Sheehan DM, Regan SD, Chaix B. Acceptability of smartphone applications for global positioning system (GPS) and ecological momentary assessment (EMA) research among sexual minority men. PLoS ONE. 2019;14(1):e0210240.PubMedPubMedCentral
59.
Zhang X, Han X, Dang Y, Meng F, Guo X, Lin J. User acceptance of mobile health services from users’ perspectives: the role of self-efficacy and response-efficacy in technology acceptance. Inform Health Soc Care. 2017;42(2):194–206.PubMed
60.
Maiorana A, Steward WT, Koester KA, Pearson C, Shade SB, Chakravarty D, et al. Trust, confidentiality, and the acceptability of sharing HIV-related patient data: lessons learned from a mixed methods study about Health Information Exchanges. Implement Sci. 2012;7(1):34.PubMedPubMedCentral
61.
62.
Rudolph AE, Young AM, Havens JR. A rural/urban comparison of privacy and confidentiality concerns associated with providing sensitive location information in epidemiologic research involving persons who use drugs. Addict Behav. 2017;74:106–11.PubMedPubMedCentral
63.
Emlet CA. “You’re awfully old to have this disease”: experiences of stigma and ageism in adults 50 years and older living with HIV/AIDS. Gerontologist. 2006;46(6):781–90.PubMed
64.
Sangaramoorthy T, Jamison AM, Dyer TV. HIV stigma, retention in care, and adherence among older black women living with HIV. J Assoc Nurses AIDS Care. 2017;28(4):518–31.PubMed
65.
Earnshaw VA, Bogart LM, Dovidio JF, Williams DR. Stigma and racial/ethnic HIV disparities: moving toward resilience. Am Psychol. 2013;68(4):225–36.PubMedPubMedCentral
66.
Travaglini LE, Himelhoch SS, Fang LJ. HIV stigma and its relation to mental, physical and social health among black women living with HIV/AIDS. AIDS Behav. 2018;22(12):3783–94.PubMed
67.
68.
Pellowski JA. Barriers to care for rural people living with HIV: a review of domestic research and health care models. J Assoc Nurses AIDS Care. 2013;24(5):422–37.PubMedPubMedCentral
69.
Hubach RD, Dodge B, Schick V, Ramos WD, Herbenick D, Li MJ, et al. Experiences of HIV-positive gay, bisexual and other men who have sex with men residing in relatively rural areas. Cult Health Sex. 2015;17(7):795–809.PubMed
70.
Kalichman S, Katner H, Banas E, Kalichman M. Population density and AIDS-related stigma in large-urban, small-urban, and rural communities of the southeastern USA. Prev Sci. 2017;18(5):517–25.PubMedPubMedCentral
71.
Costelloe S, Kemppainen J, Brion J, MacKain S, Reid P, Frampton A, et al. Impact of anxiety and depressive symptoms on perceptions of stigma in persons living with HIV disease in rural versus urban North Carolina. AIDS Care. 2015;27(12):1425–8.PubMed
72.
Inagami S, Gao S, Karimi H, Shendge MM, Probst JC, Stone RA. Adapting the Index of Relative Rurality (IRR) to estimate rurality at the ZIP code level: a rural classification system in health services research. J Rural Health. 2016;32(2):219–27.PubMed
73.
Cohen SA, Kelley L, Bell AE. Spatiotemporal discordance in five common measures of rurality for US counties and applications for health disparities research in older adults. Front Public Health. 2015;3:267.PubMedPubMedCentral
74.
Waldorf B, Kim A, editors. Defining and measuring rurality in the US: From typologies to continuous indices. Commissioned paper presented at the Workshop on Rationalizing Rural Area Classifications, Washington, DC; 2015.
75.
Beynon MJ, Crawley A, Munday M. Measuring and understanding the differences between urban and rural areas. Environ Plan B. 2016;43(6):1136–54.
76.
Elliot AJ, Mooney CJ, Douthit KZ, Lynch MF. Predictors of older adults’ technology use and its relationship to depressive symptoms and well-being. J Gerontol B. 2013;69(5):667–77.
77.
78.
Eisinger RW, Dieffenbach CW, Fauci AS. HIV viral load and transmissibility of HIV infection: undetectable equals untransmittable. JAMA. 2019;321(5):451–2.PubMed
79.
Hasin DS, Aharonovich E, Oleary A, Greenstein E, Pavlicova M, Arunajadai S, et al. Reducing heavy drinking in HIV primary care: A randomized trial of brief intervention, with and without technological enhancement. Addiction. 2013;108(7):1230–40.PubMedPubMedCentral
80.
Haberer JE, Kiwanuka J, Nansera D, Muzoora C, Hunt PW, So J, et al. Real-time adherence monitoring of antiretroviral therapy among HIV-infected adults and children in rural Uganda. AIDS. 2013;27(13):2166–8.PubMed
81.
Tucker JA, Blum ER, Xie L, Roth DL, Simpson CA. Interactive voice response self-monitoring to assess risk behaviors in rural substance users living with HIV/AIDS. AIDS Behav. 2012;16(2):432–40.PubMedPubMedCentral
82.
Saberi P, Yuan P, John M, Sheon N, Johnson MO. A pilot study to engage and counsel HIV-positive African American youth via telehealth technology. AIDS Patient Care STDS. 2013;27(9):529–32.PubMedPubMedCentral
83.
Marhefka S, Turner D, Lockhart E. Understanding women’s willingness to use ehealth for HIV-related services: a novel application of the Technology Readiness and Acceptance Model to highly stigmatized medical condition. Telemed J E Health. 2019;25(6):511–8.PubMed
84.
Rosen RK, McGarrity LA, Salmoirago-Blotcher E, Rich C, Rana A, Carey MP. Telephone-delivered mindfulness training for people living with HIV: a qualitative 360° inquiry. AIDS Behav. 2017;21(11):3194–201.PubMedPubMedCentral
85.
Himelhoch S, Medoff D, Maxfield J, Dihmes S, Dixon L, Robinson C, et al. Telephone based cognitive behavioral therapy targeting major depression among urban dwelling, low income people living with HIV/AIDS: results of a randomized controlled trial. AIDS Behav. 2013;17(8):2756–64.PubMed
86.
Gentry S, van-Velthoven MH, Car LT, Car J. Telephone delivered interventions for reducing morbidity and mortality in people with HIV infection. Cochrane Database Syst Rev. 2013;2013(5):CD009189.PubMedCentral
87.
Glueckauf RL, Davis WS, Willis F, Sharma D, Gustafson DJ, Hayes J, et al. Telephone-based, cognitive-behavioral therapy for African American dementia caregivers with depression: initial findings. Rehabil Psychol. 2012;57(2):1.
Metadaten
Titel
Social Determinants of Potential eHealth Engagement Among People Living with HIV Receiving Ryan White Case Management: Health Equity Implications from Project TECH
verfasst von
Stephanie L. Marhefka
Elizabeth Lockhart
DeAnne Turner
Wei Wang
M. Margaret Dolcini
Julie A. Baldwin
Regina Maria Roig-Romero
Celia M. Lescano
Robert L. Glueckauf
Publikationsdatum
11.12.2019
Verlag
Springer US
Erschienen in
AIDS and Behavior / Ausgabe 5/2020
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-019-02723-1

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