Abstract
We evaluated the efficacy of LifeWindows, a theory-based, computer-administered antiretroviral (ARV) therapy adherence support intervention, delivered to HIV + patients at routine clinical care visits. 594 HIV + adults receiving HIV care at five clinics were randomized to intervention or control arms. Intervention vs. control impact in the intent-to-treat sample (including participants whose ARVs had been entirely discontinued, who infrequently attended care, or infrequently used LifeWindows) did not reach significance. Intervention impact in the On Protocol sample (328 intervention and control arm participants whose ARVs were not discontinued, who attended care and were exposed to LifeWindows regularly) was significant. On Protocol intervention vs. control participants achieved significantly higher levels of perfect 3-day ACTG-assessed adherence over time, with sensitivity analyses maintaining this effect down to 70% adherence. This study supports the utility of LifeWindows and illustrates that patients on ARVs who persist in care at clinical care sites can benefit from adherence promotion software.
Resumen
Evaluamos la eficacia de LifeWindows, una intervención de apoyo para la adherencia a la terapia antirretroviral (TAR) basada en teoría y con administración informatizada para pacientes con VIH + en sus visitas clínicas rutinarias. 594 adultos de cinco clínicas con VIH + y bajo tratamiento fueron aleatoriamente asignados a un grupo de intervención o de control. No se alcanzó significación estadística al comparar ambos grupos bajo la estrategia de ‘intención de tratar’ (incluyendo los participantes cuyos TAR se habían interrumpido por completo, habían asistido a la clínica en pocas ocasiones, o usaron LifeWindows con poca frecuencia). Sin embargo, la intervención obtuvo un impacto significativo cuando se evaluó con la muestra bajo Protocolo (un total de 328 participantes cuyos TAR no fueron interrumpidos, asistieron a sus visitas clínicas y se expusieron a LifeWindows regularmente). Los participantes bajo Protocolo de intervención obtuvieron niveles más altos de adherencia que el grupo control en tres días de Estudios de Grupos Clinicos con SIDA (EGCS) con repetidas evaluaciones y manteniendo como mínimo un 70% de la adherencia. Este estudio apoya la utilidad de LifeWindows e indica que los pacientes con TAR que asisten a las visitas clínicas, pueden beneficiarse de este software de promoción de la adherencia.
Similar content being viewed by others
Notes
Assays varied between clinics and also within clinics over time. In order to equalize results from assays of varying sensitivity, we selected the highest minimum-detection threshold used (HIV-1 RNA ≤ 400 copies/ml) to define "undetectable" viral load.
Adherence assessments were not conducted at visits where patients' medical records indicated complete discontinuation of all ARVs.
References
Chen LF, Hoy J, Lewin SR. Ten years of highly active antiretroviral therapy for HIV infection. Med J Aust. 2007;186:146–51.
Waters L, Nelson M. Why do patients fail HIV therapy? Int J Clin Pract. 2007;61:983–90.
Simoni J, Amico KR, Pearson C, Malow R. Overview of adherence to antiretroviral therapies. In: Pope C, White RT, Malow R, editors. Global frontiers in prevention/intervention. New York: Taylor & Francis Publications, Inc.; 2008. p. 191–200.
Curioso WH, Kurth AE, Blas MM, Klausner JD. Information and communication technologies for prevention and control of HIV infection and other STIs. In: Holmes KK, et al., editors. Sexually transmitted diseases. 4th ed. New York: McGraw-Hill; 2007. p. 2057–74.
Nieuwkerk PT, Sprangers MA, Burger DM, et al. Limited patient adherence to highly active antiretroviral therapy for HIV-1 infection in an observational cohort study. Arch Intern Med. 2001;16:1962–8.
Bangsberg DR. Preventing HIV antiretroviral resistance through better monitoring of treatment adherence. J Infect Dis. 2008;197(Suppl 3):S272–8.
Bangsberg DR, Acosta EP, Gupta R, et al. Adherence-resistance relationships for protease and non-nucleoside reverse transcriptase inhibitors explained by virological fitness. AIDS. 2006;20:223–31.
Bangsberg DR, Deeks SG. Is average adherence to HIV antiretroviral therapy enough? J Gen Intern Med. 2002;17:812–3.
Bartlett JA. Addressing the challenges of adherence. J Acquir Immune Defic Syndr. 2002;29(Suppl 1):S2–10.
Paterson DL, Swindells S, Mohr J, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med. 2000;133:21–30.
Conway B. The role of adherence to antiretroviral therapy in the management of HIV infection. J Acquir Immune Defic Syndr. 2007;45(Suppl 1):S14–8.
Lazo M, Gange SJ, Wilson TE, et al. Patterns and predictors of changes in adherence to highly active antiretroviral therapy: longitudinal study of men and women. Clin Infect Dis. 2007;45:1377–85.
Fumaz CR, Munoz-Moreno J, Molto J, et al. Sustained antiretroviral treatment adherence in survivors of the pre-HAART era: attitudes and beliefs. AIDS Care. 2008;20:796–805.
Kleeberger CA, Buechner J, Palella F, et al. Changes in adherence to highly active antiretroviral therapy medications in the multicenter AIDS cohort study. AIDS. 2004;18:683–8.
Munro S, Lewin S, Swart T, Volmink J. A review of health behaviour theories: how useful are these for developing interventions to promote long-term medication adherence for TB and HIV/AIDS? BMC Public Health. 2007;7:104.
Fisher JD, Fisher WA, Amico KR, Harman JJ. An information-motivation-behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006;25:462–73.
Amico KR, Toro-Alfonso J, Fisher JD. An empirical test of the information, motivation and behavioral skills model of antiretroviral therapy adherence. AIDS Care. 2005;17:661–73.
Amico KR, Barta W, Konkle-Parker DJ, et al. The information-motivation-behavioral skills model of ART adherence in a deep south HIV + clinic sample. AIDS Behav. 2009;13:66–75.
Starace F, Massa A, Amico KR, Fisher JD. Adherence to antiretroviral therapy: an empirical test of the information-motivation-behavioral skills model. Health Psychol. 2006;25:153–62.
Kalichman SC, Rompa D, DiFonzo K, et al. HIV treatment adherence in women living with HIV/AIDS: research based on the information-motivation-behavioral skills model of health behavior. J Assoc Nurses AIDS Care. 2001;12:58–67.
Margolin A, Avants SK, Warburton LA, Hawkins KA, Shi J. A randomized clinical trial of a manual-guided risk reduction intervention for HIV-positive injection drug users. Health Psychol. 2003;22:223–8.
Kalichman SC, Cherry J, Cain D. Nurse-delivered antiretroviral treatment adherence intervention for people with low literacy skills and living with HIV/AIDS. J Assoc Nurses AIDS Care. 2005;16:3–15.
Mannheimer SB, Morse E, Matts JP, et al. Sustained benefit from a long-term antiretroviral adherence intervention. Results of a large randomized clinical trial. J Acquir Immune Defic Syndr. 2006;43(Suppl 1):S41–7.
Wagner GJ, Kanouse DE, Golinelli D, et al. Cognitive-behavioral intervention to enhance adherence to antiretroviral therapy: a randomized controlled trial (CCTG 578). AIDS. 2006;20:1295–302.
Pearson CR, Micek M, Simoni JM, Matediana E, Martin DP, Gloyd S. Modified directly observed therapy to facilitate highly active antiretroviral therapy adherence in Beira, Mozambique. Development and implementation. J Acquir Immune Defic Syndr. 2006;43(Suppl 1):S134–41.
Pearson CR, Micek MA, Simoni JM, et al. Randomized control trial of peer-delivered, modified directly observed therapy for HAART in Mozambique. J Acquir Immune Defic Syndr. 2007;46:238–44.
Parsons JT, Golub SA, Rosof E, Holder C. Motivational interviewing and cognitive-behavioral intervention to improve HIV medication adherence among hazardous drinkers: a randomized controlled trial. J Acquir Immune Defic Syndr. 2007;46:443–50.
Amico KR, Harman JJ, Johnson BT. Efficacy of antiretroviral therapy adherence interventions: a research synthesis of trials, 1996 to 2004. J Acquir Immune Defic Syndr. 2006;41:285–97.
Simoni JM, Pearson CR, Pantalone DW, Marks G, Crepaz N. Efficacy of interventions in improving highly active antiretroviral therapy adherence and HIV-1 RNA viral load. A meta-analytic review of randomized controlled trials. J Acquir Immune Defic Syndr. 2006;43(Suppl 1):S23–35.
Amico KR, Harman JJ, O’Grady M, Johnson B. Research synthesis of ART adherence interventions: a synthesis of published adherence intervention outcomes research from 1996 to September 2007. In: Presented at the 4th Annual HIV Treatment Adherence Conference of the International Association of Providers in AIDS Care, Miami, FL. April 2009.
Simoni JM, Amico KR, Pearson CR, Malow R. Strategies for promoting adherence to antiretroviral therapy: a review of the literature. Curr Infect Dis Rep. 2008;10:515–21.
Harman JJ, Amico KR, Johnson BT. Standard of care: promoting antiretroviral adherence in clinical care. AIDS Care. 2005;17:237–51.
Portnoy DB, Scott-Sheldon LA, Johnson BT, Carey MP. Computer-delivered interventions for health promotion and behavioral risk reduction: a meta-analysis of 75 randomized controlled trials, 1988–2007. Prev Med. 2008;47:3–16.
Walters ST, Wright JA, Shegog R. A review of computer and Internet-based interventions for smoking behavior. Addict Behav. 2006;31:264–77.
Williams GC, Lynch M, Glasgow RE. Computer-assisted intervention improves patient-centered diabetes care by increasing autonomy support. Health Psychol. 2007;26:728–34.
Noar SM, Black HG, Pierce LB. Efficacy of computer technology-based HIV prevention interventions: a meta-analysis. AIDS. 2009;23:107–15.
Curioso WH, Kurth AE. Access, use and perceptions regarding Internet, cell phones and PDAs as a means for health promotion for people living with HIV in Peru. BMC Med Inform Decis Mak. 2007;7:24–7.
Brock TP, Smith SR. Using digital videos displayed on personal digital assistants (PDAs) to enhance patient education in clinical settings. Int J Med Inf. 2007;76:829–35.
Côté J, Godin G, Garcia PR, Gagnon M, Rouleau G. Program development for enhancing adherence to antiretroviral therapy among persons living with HIV. AIDS Patient Care STDS. 2008;22:965–75.
The LifeWindows Project Team. The LifeWindows Information-Motivation Behavioral Skills ART Adherence Questionnaire (LW-IMB-AAQ). Center for Health, Intervention, and Prevention, University of Connecticut, 2006.
Ware J, Kosinski M, Dewey J, Gandek B. A manual for users of the SF-8 health survey. Lincoln: QualityMetric Incorporated; 2001.
Chesney MA, Ickovics JR, Chambers DB, et al. Self-reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG adherence instruments. Patient care committee & adherence working group of the outcomes committee of the adult AIDS clinical trials group (AACTG). AIDS Care. 2000;12(3):255–66.
Walsh JC, Mandalia S, Gazzard BG. Responses to a 1 month self-report on adherence to antiretroviral therapy are consistent with electronic data and virological treatment outcome. AIDS. 2002;16:269–77.
Oyugi JH, Byakika-Tusiime J, Charlebois ED, et al. Multiple validated measures of adherence indicate high levels of adherence to generic HIV antiretroviral therapy in a resource-limited setting. J Acquir Immune Deficiency Syndr. 2004;36:1100–2.
Simoni JM, Kurth AE, Pearson CR, Pantalone DW, Merrill JO, Frick PA. Self-report measures of antiretroviral therapy adherence: a review with recommendations for HIV research and clinical management. AIDS Behav. 2006;10(3):227–45.
Raudenbush S, Bryk A, Cheong YF, Congdon R, du Toit M. HLM 6: hierarchical linear and nonlinear modeling. Lincolnwood: Scientific Software International; 2004.
Department of Health and Human Services (DHHS) Office of AIDS Research Advisory Council (OARAC). Guidelines for the Use of Antiretroviral Agents in HIV-1-Infected Adults and Adolescents. Department of Health and Human Services. http://aidsinfo.nih.gov/contentfiles/AdultandAdolescentGL.pdf. Accessed 10 Jan 2008.
Mugavero MJ. Improving engagement in HIV care: what can we do? Top HIV Med. 2008;16(5):156–61.
Marks G, Gardner LI, Craw J, Crepaz N. Entry and retention in medical care among HIV-diagnosed persons: a meta-analysis. AIDS. 2010;24(17):2665–78.
Fisher JD, Amico KR, Fisher WA, Harman JJ. The information-motivation-behavioral skills model of antiretroviral adherence and its applications. Curr HIV/AIDS Rep. 2008;5:193–203.
Amico KR, Shuper PA, Cornman DH, et al. Patterns of use of a computer-delivered adherence intervention: preliminary results from the LifeWindows Project. Paper presented at the NIMH/IAPAC International Conference on HIV Treatment Adherence, Jersey City, NJ. March 2007.
Shuper PA, Fisher JD, Cornman DH, et al. Changing ART adherence using theory-based, computer-delivered interventions. Poster presented at the NIMH/IAPAC International Conference on HIV Treatment Adherence, Jersey City, NJ. March 2006.
Rosenblum M, Deeks SG, van der Laan M, Bangsberg DR. The risk of virologic failure decreases with duration of HIV suppression, at greater than 50% adherence to antiretroviral therapy. PLoS One. 2009;4(9):e7196.
Acknowledgment
This study was funded by a National Institute of Mental Health grant (5 R01 MH066684), Jeffrey D. Fisher, Principal Investigator.
Author information
Authors and Affiliations
Consortia
Corresponding author
Additional information
This article was written on behalf of the LifeWindows Team. The members of the team and their contributions appear in the Appendix.
Appendix
Appendix
The LifeWindows Team contributions and contributors:
Study concept and design | Frederick L. Altice, MD, K. Rivet Amico, PhD, William Barta, PhD, Deborah H. Cornman, PhD, Kevin Diekhaus, MD, Rebecca A. Ferrer, PhD, Jeffrey D. Fisher, PhD, William A. Fisher, PhD, Gerald Friedland, MD, Anthony F. Lemieux, PhD, Wynne Norton, PhD, David Portnoy, PhD, Caroline Redding, MSR, Paul A. Shuper, PhD, Zoe Strickler, Cynthia Trayling. |
Acquisition of data | Kevin Dieckhaus, MD, Gerald Friedland, MD, Caroline Redding, MSR, Jack Ross, MD, Cynthia Trayling, Richard Colon, Merceditas Villanueva, MD, Krystn Wagner, MD, PhD, Sharon Weissman, MD. |
Analysis and interpretation of data | Frederick L. Altice, MD, K. Rivet Amico, PhD, Deborah H. Cornman, PhD, Jeffrey D. Fisher, PhD, William A. Fisher, PhD, Paul A. Shuper, PhD. |
Drafting of the manuscript | K. Rivet Amico, PhD, Jeffrey D. Fisher, PhD, William A. Fisher, PhD, Paul A. Shuper, PhD, Cynthia Trayling. |
Critical revision of the manuscript for important intellectual content | Frederick L. Altice, MD, K. Rivet Amico, PhD, Deborah H. Cornman, PhD, Jeffrey D. Fisher, PhD, William A. Fisher, PhD, Gerald Friedland, MD, Paul A. Shuper, PhD. |
Statistical analysis | K. Rivet Amico, PhD. |
Obtained funding | Frederick L. Altice, MD, K. Rivet Amico, PhD, Deborah H. Cornman, PhD, Jeffrey D. Fisher, PhD, William A. Fisher, PhD. |
Administrative, technical, or material support | K. Rivet Amico, PhD, William Barta, PhD, Deborah H. Cornman, PhD, Rebecca Ferrer, Ph.D, Jeffrey D. Fisher, Anthony F. Lemieux, PhD, Wynne Norton, PhD, Caroline Redding, MSR, Paul A. Shuper, PhD, Cynthia Trayling, Richard Colon. |
Study supervision | Frederick L. Altice, MD, K. Rivet Amico, PhD, Deborah H. Cornman, PhD, Kevin Dieckhaus, MD, Jeffrey D. Fisher, PhD, Gerald Friedland, MD, Caroline Redding, MSR, Jack Ross, MD, Paul A. Shuper, PhD, Cynthia Trayling, Richard Colon, Merceditas Villanueva, MD, Krystn Wagner, MD, Sharon Weissman, MD. |
Additional Contributions
We thank the following individuals for helping us collect the viral load data: Michael Kozal, Shaili Gupta, Laurie Andrews and Randi Garcia. Also, we are greatly appreciative of the efforts of the on-site LifeWindows assistants who assisted patients on a daily basis throughout the project, including Margarita Garcia, Timothy Gorin, Alfred Guante, Taber Murphy-Dizon, Chris Richie, Mathew Tochtenhagen, and Barbara Valdez. Erin Lenz helped us in the preparation of this manuscript.
Rights and permissions
About this article
Cite this article
Fisher, J.D., Amico, K.R., Fisher, W.A. et al. Computer-Based Intervention in HIV Clinical Care Setting Improves Antiretroviral Adherence: The LifeWindows Project. AIDS Behav 15, 1635–1646 (2011). https://doi.org/10.1007/s10461-011-9926-x
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10461-011-9926-x