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AIDS and Behavior
Published in: AIDS and Behavior 1/2018

01-01-2018 | Original Paper

A Rapid Review of eHealth Interventions Addressing the Continuum of HIV Care (2007–2017)

Authors: Kirk D. Henny, Aisha L. Wilkes, Christina M. McDonald, Damian J. Denson, Mary Spink Neumann

Published in: AIDS and Behavior | Issue 1/2018

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Abstract

National HIV prevention goals call for interventions that address Continuum of HIV Care (CoC) for persons living with HIV. Electronic health (eHealth) can leverage technology to rapidly develop and disseminate such interventions. We conducted a qualitative review to synthesize (a) technology types, (b) CoC outcomes, (c) theoretical frameworks, and (d) behavior change mechanisms. This rapid review of eHealth, HIV-related articles (2007–2017) focused on technology-based interventions that reported CoC-related outcomes. Forty-five studies met inclusion criteria. Mobile texting was the most commonly reported technology (44.4%, k = 20). About 75% (k = 34) of studies showed proven or preliminary efficacy for improving CoC-related outcomes. Most studies (60%, k = 27) focused on medication adherence; 20% (k = 9) measured virologic suppression. Many eHealth interventions with preliminary or proven efficacy relied on mobile technology and integrated knowledge/cognition as behavior change mechanisms. This review identified gaps in development and application of eHealth interventions regarding CoC.
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Literature
1.
World Health Organization. HIV/AIDS: data and statistics. Global summary of AIDS epidemic-2015. 2016.
2.
Hall HI, An Q, Tang T, Song R, Chen M, Green T, et al. Prevalence of diagnosed and undiagnosed HIV infection—United States, 2008–2012. MMWR. 2015;64(24):657–62.PubMed
3.
Centers for Disease Control and Prevention. National HIV/AIDS strategy: updated to 2020. AIDSgov 2015.
4.
Department of Health and Human Services: Lab test and results. HIVgov 2017.
5.
Steele C, Meléndez-Morales L, Campoluci R, DeLuca N, Dean H. Health disparities in HIV/AIDS, viral hepatitis, sexually transmitted diseases, and tuberculosis: issues, burden, and response, a retrospective review, 2000–2004. Atlanta, GA: Department of Health and Human Services, Centers for Disease Control and Prevention; 2007.
6.
Coleman S, Boehmer U, Kanaya F, Grasso C, Tan J, Bradford J. Retention challenges for a community-based HIV primary care clinic and implications for intervention. AIDS Patient Care STDs. 2007;21:691–701.PubMedPubMedCentralCrossRef
7.
Kumaranayake L. The economics of scaling up: cost estimation for HIVAIDS interventions. AIDS. 2008;22:S23–33.PubMedCrossRef
8.
Pew Research Center. Health Online 2013. 2013.
9.
Myint-U A, Bull S, Greenwood G, Patterson J, Rietmeijer C, Vrungos S, et al. Safe in the city: developing an effective video-based intervention for STD clinic waiting rooms. Health Promot Pract. 2010;11(3):408–17.PubMedCrossRef
10.
World Health Organization. WHO global observatory for e-health series—new horizons for health through mobile technologies. Observatory. Geneva: WHO; 2011. p. 3.
11.
Pew Research Center. The Smartphone Difference. 2015.
12.
Young S, Cumberland W, Nianogo R, Menacho L, Galea J, Coates T. The HOPE social media intervention for global prevention in Peru: a cluster randomized controlled trial. Lancet HIV. 2014;2(1):e27–32.PubMedCentralCrossRef
13.
Catalani C, Philbrick W, Fraser H, Mechael P, Israelski D. mHealth for IV treatment & prevention: a systematic review of the literature. Open AIDS J. 2013;7:17–41.PubMedPubMedCentralCrossRef
14.
Liberat A, Altman D, Tetzlaff J, Mulrow C, Gotzsche P, Ioannidis J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700.CrossRef
15.
Moher D, Liberati A, Tetzlaff J, Altman D, Group TP. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. PLoS Med. 2009;6(7):1–6.
16.
Grant M. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Inform Libr J. 2009;26:91–108.CrossRef
17.
Deluca J, Mullins M, Lyles C, Crepaz N, Kay L, Thadiparthi S. Developing a comprehensive search strategy for evidence based systematic reviews. Evid Based Libr Inform Pract. 2008;3:3–32.CrossRef
18.
19.
Hailey J, Arscott J. Using technology to effectively engage adolescents and young adults into care: STAR TRACK adherence program. J Assoc Nurses AIDS Care. 2013;24(6):582–6.PubMedCrossRef
20.
Davey D, Nhavoto J, Augusto O, Ponce W, Traca D, Nguimfack A, et al. SMSaude: evaluating mobile phone text reminders to improve retention in HIV care for patients on antiretroviral therapy in Mozambique. J Acquir Immunodefic Syndr. 2016;73:e23–30.CrossRef
21.
Herwehe J, Wilbright W, Abrams A, Bergson S, Foxhood J, Kaiser M, et al. Implementation of an innovative, integrated electronic medical record (EMR) and public health information exchange for HIV/AIDS. J Am Med Inform Assoc. 2012;19:448–52.PubMedCrossRef
22.
Rana A, van den Berg J, Lamy E, Beckwith C. Using a mobile health intervention to support HIV treatment adherence and retention among patients at risk for disengaging with care. AIDS Patient Care STDs. 2016;30:178–84.PubMedPubMedCentralCrossRef
23.
Fisher W, Fisher J, Harman J. The information-motivation-behavioral skills model: a general social psychological approach to understanding and promoting health behavior. In: Social psychological foundations of health and illness. Malden, MA: Blackwell; 2003. p. 82–106.
24.
Ingersoll K, Dillingham R, Freeman J, Reynolds G, Hosseinbor S. Pilot RCT of bidirectional text messaging for ART adherence among nonurban substance users with HIV. Health Psychol. 2015;34:1305–15.PubMedCentralCrossRef
25.
Kurth A, Chhun N, Cleland C, Crespo-Fierro M, Pares-Avila J, Lizcano J, et al. Linguistic and cultural adaptation of a computer-based counseling program (CARE+Spanish) to support HIV treatment adherence and risk reduction for people living with HIV/AIDS: a randomized controlled trial. J Med Internet Res. 2016;18:1–15.CrossRef
26.
Schwartz S, Clouse K, Yende N, Van Rie A, Bassett J, Ratshefola M, et al. Acceptability and feasibility of a mobile phone-based case management intervention to retain mothers and infants from an Option B+ program in postpartum HIV care. Matern Child Health J. 2015;19:2029–37.PubMedPubMedCentralCrossRef
27.
Ajzen I. From intentions to actions: a theory of planned behavior. In: Action control: from cognition to behavior. New York: Springer; 1985. p. 11–39.
28.
Miller W, Rollnick S. Motivational interviewing: preparing people for change. New York: Guilford Press; 1991.
29.
Kurth A, Spielberg F, Cleland C, Lambdin B, Bangsberg D, Frick P, et al. Computerized counseling reduces HIV-1 viral load and sexual transmission risk: findings from a randomized controlled trial. JAIDS. 2014;65(5):611–20.PubMedPubMedCentral
30.
Naar-King S, Outlaw A, Sarr M, Parsons J, Belzer M, MacDonell K, et al. Motivational enhancement system for adherence (MESA): pilot randomized trial of a brief computer-delivered prevention intervention for youth initiating antiretroviral treatment. J Pediatr Psychol. 2013;38(6):638–48.PubMedPubMedCentralCrossRef
31.
Henry S, Goetz M, Asch S. The effect of automated telephone appointment reminders in HIV primary care no-shows by veterans. J Assoc Nurses AIDS Care. 2012;23(5):409–18.PubMedCrossRef
32.
Fisher J, Amico K, Fisher W, Cornman D, Shuper P, Traling C, et al. Computer-based intervention in HIV clinical care setting improves antiretroviral adherence: the LifeWindows Project. AIDS Behav. 2011;15:1635–46.PubMedCrossRef
33.
Kalichman S, Kalichman M, Cherry C, Swetzes C, Amaral C, White D, et al. Brief behavioral self-regulation counseling for HIV treatment adherence delivered by cell phone: an initial test of concept trial. AIDS Patient Care STDs. 2011;25(5):303–10.PubMedPubMedCentralCrossRef
34.
Garofalo R, Kuhns L, 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;20:1049–59.PubMedPubMedCentralCrossRef
35.
Kalichman S, Kalichman M, Cherry C, Eaton L, Cruess D, Schinazi R. Randomized factorial trial of phone-delivered support counseling and daily text message reminders for HIV treatment adherence. J Acquir Immunodefic Syndr. 2016;73:47–54.CrossRef
36.
Shet A, De Costa A, Kumarasamy N, Rodrigues R, Rewari B, Ashorn P, et al. Effect of mobile telephone reminders on treatment outcome in HIV: evidence from a randomised controlled trial in India. BMJ. 2014;349:g5978.PubMedPubMedCentralCrossRef
37.
Chung M, Richardson B, Tapia K, Benki-Nugent S, Kiarie J, Simoni J, et al. A randomized controlled trial comparing the effects of counseling and alarm device on HAART adherence and virolgic outcomes. PLoS Med. 2011;8(3):e1000422.PubMedPubMedCentralCrossRef
38.
Moore D, Poquette A, Casaletto K, Gouaux B, Montoya J, Posada C, et al. Individualized texting for adherence building (iTAB): improving antiretroviral dose timing among HIV-infected persons with co-occurring bipolar disorder. AIDS Behav. 2015;19:459–71.PubMedPubMedCentralCrossRef
39.
Hersch R, Cook R, Billings D, Kaplan S, Murray D, Safren S, et al. Test of a web-based program to improve adherence to HIV medications. AIDS Behav. 2013;17:2963–76.PubMedCrossRef
40.
Thurston I, Bogart L, Wachman M, Closson E, Skeer M, Mimiaga M. Adaptation of an HIV medication adherence intervention for adolescents and young adults. Cogn Behav Pract. 2014;21:191–205.PubMedCrossRef
41.
Ownby R, Waldrop-Valverde D, Caballero J, Jacobs R. Baseline medication adherence and response to an electronically delivered health literacy intervention targeting adherence. Neurobehav HIV Med. 2012;12(4):113–21.CrossRef
42.
Cook P, Carrington J, Schmiege S, Starr W, Reeder B. A counselor in your pocket: feasibility of mobile health tailored messages to support HIV medication adherence. Patient Prefer Adher. 2015;9:1353–66.CrossRef
43.
Haberer J, Robbins G, Ybarra M, Monk A, Ragland K, Weiser S, et al. Real-time electronic adherence monitoring is feasible, comparable to unannounced pill counts, and acceptable. AIDS Behav. 2012;16(2):375–82.PubMedPubMedCentralCrossRef
44.
DaCosta T, Barbosa B, Costa D, Sigulem D, Marin H, Filho A, et al. Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages. Int J Med Inform. 2012;81:257–69.CrossRef
45.
Leider J, Fettig J, Calderon Y. Engaging HIV-positive individuals in specialized care from an urban emergency department. AIDS Patient Care STDs. 2011;25(2):89–93.PubMedPubMedCentralCrossRef
46.
Perron N, Dao N, Kossovsky M, Miserez V, Chuard C, Calmy A, et al. Reduction of missed appointments at an urban primary care clinic: a randomised controlled study. BMC Fam Pract. 2010;79:1–8.
47.
Bigna J, Noubiap J, Kouanfack C, Plottel C, Koulla-Shiro S. Effect of mobile phone reminders on follow-up medical care of children exposed to or infected with HIV in Cameroon (MORE CARE): a multicentre, single-blind, factorial, randomised controlled trial. Lancet Infect Dis. 2014;14:600–8.PubMedCrossRef
48.
Downshen N, Kuhns L, Johnson A, Holoyda B, Garofalo R. Improving adherence to antiretroviral therapy for youth living with HIV/AIDS: a pilot study using personalized, interactive, daily text message reminders. J Med Int Res. 2012;14:e51.
49.
Dowshen N, Kuhns L, Johnson A, Holoyda B, Garafalo R. Improving adherence to antiretroviral therapy for youth living with HIV/AIDS: a pilot study using personalized, interactive, daily text message reminders. J Med Int Res. 2012;14(2):e51.
50.
Nsagha D, Lange I, Fon P, Assob J, Tanue E. A randomized controlled trial on the usefulness of mobile text phone messages to improve the quality of care of HIV and AIDS patients in Cameroon. Open AIDS J. 2016;10:93–103.PubMedPubMedCentralCrossRef
51.
Lester R, Ritvo P, Mills E, Kariri A, Karanja S, Chung M, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (Welel Kenya1): a randomised trial. Lancet. 2010;376:1838–45.PubMedCrossRef
52.
Chang L, Kagaayi J, Arem H, Nakigozi G, Ssempijja V, Quinn T, et al. Impact of a mHealth intervention for peer health workers on AIDS care in rural Uganda: a mixed methods evaluation of a cluster-randomized trial. AIDS Behav. 2011;15:1776–84.PubMedPubMedCentralCrossRef
53.
Hardy H, Kumar V, Doros G, Farmer E, Drainoni M, Rybin D, et al. Randomized controlled trial of a personalized cellular phone reminder system to enhance adherence to antiretroviral therapy. AIDS Patient Care STDs. 2011;25(3):153–61.PubMedPubMedCentral
54.
Simoni J, Huh D, Frick P, Pearson C, Andrasik M, Dunbar P, et al. Peer support and pager messaging to promote antiretroviral modifying therapy in Seattle: a randomized controlled trial. JAIDS. 2009;52:465–73.PubMedPubMedCentral
55.
Cote J, Godin G, Ramirez-Garcia P, Rouleau G, Bourbonnais A, Gueheneuc Y, et al. Virtual intervention to support self-management of antiretroviral therapy among people living with HIV. J Med Int Res. 2015;17:1–12.
56.
Robbins R, Mellins C, Leu C, Rowe J, Warne P, Abrams E, et al. Enhancing lay counselor capacity to improve patient outcomes with multimedia technology. AIDS Behav. 2015;19:S163–76.CrossRef
57.
Essien E, Mgbere O, Monjok E, Ekong E, Holstad M, Kalichman S. Effectiveness of a video-based motivational skills-building HIV risk-reduction intervention for female military personnel. Soc Sci Med. 2011;72(1):63–71.PubMedCrossRef
58.
Pop-Eleches C, Thirumurthy H, Habyarimana J, Zivin J, Goldstein M, de Walque D, et al. Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011;25:825–34.PubMedPubMedCentralCrossRef
59.
Lewis M, Uhrig J, Bann C, Harris J, Furberg R, Coomes C, et al. Tailored text messaging intervention for HIV adherence: a proof-of-concept study. Health Psychol. 2013;32(3):248–53.PubMedCrossRef
60.
Maduka O, Tobin-West C. Adherence counseling and reminder text messages improve uptake of antiretroviral therapy in a tertiary hospital in Nigeria. Niger J Clin Pract. 2013;16(3):302–8.PubMedCrossRef
61.
Perera A, Thomas M, Moore J, Faasse K, Petrie K. Effect of a smartphone application incorporating personalized health-related imagery on adherence to antiretroviral therapy: a randomized clinical trial. AIDS Patient Care STDs. 2014;28:579–86.PubMedPubMedCentralCrossRef
62.
Ammassari A, Trotta M, Shalev N, Tettoni M, Maschi S, Sora F, et al. Timed short messaging service improves adherence and virological outcomes in HIV-1 inflected patients with suboptimal adherence to antiretroviral therapy. J Acquir Immune Defic Syndr. 2011;58:e113–5.PubMedCrossRef
63.
Brock T, Smith S. Using digital videos displayed on personal digital assistants (PDAs) to enhance patient education in clinical settings. Int J Med Inform. 2007;76:829–35.PubMedCrossRef
64.
Mbuagbaw L, Thabane L, Ongolo-Zogo P, Lester R, Mills E, Smieja M, et al. The Cameroon mobile phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy. PLoS ONE. 2012;7:e46909.PubMedPubMedCentralCrossRef
65.
Robbins G, Lester W, Johnson K, Chang Y, Estey G, Surrao D, et al. Efficacy of a clinical decision-support system in an HIV practice. Ann Intern Med. 2012;157:757–66.PubMedCrossRef
66.
McCabe B, Schaefer S, Gattamorta K, Villegas N, Cianelli R, Mitrani V, et al. Development and psychometric evaluation of a condom use self-efficacy measure in Spanish and English. HIV Clin Trials. 2016;17(5):212–7.PubMedPubMedCentralCrossRef
67.
68.
Pew Research Center. Cell phone and smartphone ownership demographics. 2014.
69.
Statista Inc. Number of apps available in leading app stores as of June 2016. Statista: The Statistics Portal 2016.
70.
Pew Research Center. Cell phones in Africa: a communication lifeline. 2015.
71.
Centers for Disease Control and Prevention. Recommendations for HIV prevention with adults and adolescents with HIV in the United States, 2014. Washington, DC: CDC Stacks: Public Health Publication; 2014.
72.
Centers for Disease Control and Prevention. HIV Surveillance Report. 2015.
73.
Idele P, Gillespie A, Porth T, Suzuki C, Mahy M, Kasedde S, et al. Epidemiology of HIV and AIDS among adolescents: current status, inequities, and data gaps. J Acquir Immunodefic Syndr. 2014;66(Suppl 2):S144–53.CrossRef
74.
Zanoni B, Mayer K. The adolescent young adult HIV cascade of care in the United States: exaggerated health disparities. AIDS Patient Care STDs. 2014;28(3):128–35.PubMedPubMedCentralCrossRef
75.
76.
Claborn K, Leffingwell T, Miller M, Meiser E, Stephens J. Pilot study examining the efficacy of an electronic intervention to promote HIV medication adherence. AIDS Care. 2014;26(3):404–9.PubMedCrossRef
77.
Orrell C, Cohen K, Mauff K, Bangsberg D, Maartens G, Wood R. A randomized controlled trial of real-time electronic adherence monitoring with text message dosing reminders in people starting first-line antiretroviral therapy. J Acquir Immunodefic Syndr. 2015;70:495–502.CrossRef
78.
Sabin L, DeSilva M, Gill C, Zhong L, Vian T, Xie W, et al. Improving adherence to antiretroviral therapy with triggered real-time text message reminders: the China Adherence through Technology Study. J Acquir Immunodefic Syndr. 2015;69:551–9.CrossRef
Metadata
Title
A Rapid Review of eHealth Interventions Addressing the Continuum of HIV Care (2007–2017)
Authors
Kirk D. Henny
Aisha L. Wilkes
Christina M. McDonald
Damian J. Denson
Mary Spink Neumann
Publication date
01-01-2018
Publisher
Springer US
Published in
AIDS and Behavior / Issue 1/2018
Print ISSN: 1090-7165
Electronic ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-017-1923-2

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Keynote webinar | Spotlight on medication adherence

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Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

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Prof. Florian Limbourg
Prof. Anoop Chauhan
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