A cost analysis of an Internet-based medication adherence intervention for people living with HIV

Journal of Acquired Immune Deficiency Syndromes

Volumn 60, Issue 1, 2012, Pages 1-4

  Page, Timothy F ^a   Horvath, Keith J ^b   Danilenko, Gene P ^c   Williams, Mark ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b UNIVERSITY OF MINNESOTA   (United States)

^c Xerebral Inc   (United States)

Author keywords

Cost analysis; HIV medication adherence; Internet intervention

Indexed keywords

ARTICLE; COST EFFECTIVENESS ANALYSIS; FEASIBILITY STUDY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INTERNET; MAJOR CLINICAL STUDY; PATIENT COMPLIANCE; PRIORITY JOURNAL; SOCIAL SUPPORT; TREATMENT DURATION;

BEHAVIOR THERAPY; COSTS AND COST ANALYSIS; EDUCATION, MEDICAL; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HIV INFECTIONS; HUMANS; INTERNET; INTERVENTION STUDIES; MEDICATION ADHERENCE; UNITED STATES;

EID: 84863400477     PISSN: 15254135     EISSN: 10779450     Source Type: Journal    
DOI: 10.1097/QAI.0b013e318250f011     Document Type: Article

References (15)

1. The Antiretroviral Therapy Cohort Collaboration. Life expectancy of individuals on combination antiretroviral therapy in high-income countries: a collaborative analysis of 14 cohort studies. Lancet. 2008;372:293-299.
2. Valenti WM. Treatment adherence improves outcomes and manages costs. AIDS Read. 2001;11:77-80. (Pubitemid 32172757)
3. Lucas GM, Wu AW, Cheever LW, et al. Adherence to antiretroviral therapy: an update of current concepts. Curr HIV/AIDS Rep. 2004;1:172-180.
4. Lamiraud K, Moatti JP, Lamiraud K, et al. Economic implications of nonadherence to highly active antiretroviral treatment in HIV patients. Expert Opin Pharmacother. 2006;7:135-143. (Pubitemid 43263253)
5. Goldie SJ, Paltiel AD,Weinstein MC, et al. Projecting the cost-effectiveness of adherence interventions in persons with human immunodeficiency virus infection. Am J Med. 2003;115:632-641. (Pubitemid 37505905)
6. Braithwaite RS, Fiellin DA, Nucifora K, et al. Evaluating interventions to improve antiretroviral adherence: how much of an effect is required for favorable value? Value Health. 2010;13:535-542.
7. Curioso WH, Kurth AE, Curioso WH, et al. 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.
8. Dunbar P,Madigan D, Grohskopf L, et al. A two-way messaging system to enhance antiretroviral adherence. J Am Med Inform Assoc. 2003;10:11-15. (Pubitemid 36134058)
9. Lester RT, Mills EJ, Kariri A, et al. The HAART cell phone adherence trial (WelTel Kenya1): a randomized controlled trial protocol. Trials. 2009;10:87.
10. Ybarra ML, Bull SS. Current trends in Internet- and cell phone-based HIV prevention and intervention programs. Curr HIV/AIDS Rep. 2007;4:201-207.
11. Ammassari A, Trotta MP, Mussini C, et al. The use of a mobile phone intervention based on short message system (SMS) for assisting HIV-infected non-adherent patients to comply with antiretroviral therapy. Presented at: 5th International Conference on HIV Treatment Adherence; 2010; Miami, FL.
12. Saberi P, Johnson MO. Technology-based self-care methods of improving antiretroviral adherence: a systematic review. PLoS ONE. 2011;6:e27533.
13. Fisher J, Amico K, Fisher W, et al. Computer-based intervention in HIV clinical care setting improves antiretroviral adherence: the Life-Windows Project. AIDS Behav. 2011;15:1635-1646.
14. Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 376:1838-1845.
15. Fisher JD, Fisher WA, Amico KR, et al. An information-motivation- behavioral skills model of adherence to antiretroviral therapy. Health Psychol. 2006;25:462-473. (Pubitemid 44167248)