A randomized controlled trial of real-time electronic adherence monitoring with text message dosing reminders in people starting first-line antiretroviral therapy

Journal of Acquired Immune Deficiency Syndromes

Volumn 70, Issue 5, 2015, Pages 495-502

  Orrell, Catherine ^a   Cohen, Karen ^b   Mauff, Katya ^b   Bangsberg, David R ^c,d   Maartens, Gary ^b   Wood, Robin ^a  

^a UCT Faculty of Health Science   (South Africa)

^b UNIVERSITY OF CAPE TOWN   (South Africa)

^c HARVARD MEDICAL SCHOOL   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

Antiretroviral therapy; Mobile phone use; Real time adherence monitoring; Text message; Virological failure

Indexed keywords

ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT; EFAVIRENZ; LAMIVUDINE; LOPINAVIR; NEVIRAPINE; RITONAVIR; STAVUDINE; TENOFOVIR; VIRUS RNA; ZIDOVUDINE; ANTIRETROVIRUS AGENT;

ADULT; CD4 LYMPHOCYTE COUNT; CONFERENCE PAPER; CONTROLLED STUDY; DRUG SUBSTITUTION; FEMALE; HEALTH CARE QUALITY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1 INFECTION; INTENTION TO TREAT ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICATION COMPLIANCE; MOBILE PHONE; PATIENT MONITORING; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; SOUTH AFRICAN; TELECOMMUNICATION; TEXT MESSAGING; BLOOD; HIV INFECTIONS; REMINDER SYSTEM; VIROLOGY;

ADULT; ANTI-RETROVIRAL AGENTS; FEMALE; HIV INFECTIONS; HUMANS; MALE; MEDICATION ADHERENCE; REMINDER SYSTEMS; RNA, VIRAL; TEXT MESSAGING;

EID: 84947757676     PISSN: 15254135     EISSN: 10779450     Source Type: Journal    
DOI: 10.1097/QAI.0000000000000770     Document Type: Conference Paper

References (45)

1. Shisana O, Rehle T, Simbayi LC, et al. South African National HIV Prevalence, Incidence and Behaviour Survey, 2012. Cape Town, South Africa: HSRC Press; 2014.
2. Orrell C, Bangsberg DR, Badri M, et al. Adherence is not a barrier to successful antiretroviral therapy in South Africa. AIDS. 2003;17:1369-1375.
3. Mills EJ, Nachega JB, Bangsberg DR, et al. Adherence to HAART: a systematic review of developed and developing nation patient-reported barriers and facilitators. PLoS Med. 2006;3:e438.
4. Orrell C, Harling G, Lawn SD, et al. Conservation of first-line antiretroviral treatment regimen where therapeutic options are limited. Antivir Ther. 2007;12:83-88.
5. Fox MP, Cutsem GV, Giddy J, et al. Rates and predictors of failure of first-line antiretroviral therapy and switch to second-line ART in South Africa. J Acquir Immune Defic Syndr. 2012;60:428-437.
6. Harries AD, Zachariah R, van Oosterhout JJ, et al. Diagnosis and management of antiretroviral-therapy failure in resource-limited settings in sub-Saharan Africa: challenges and perspectives. Lancet Infect Dis. 2010;10:60-65.
7. Adakun SA, Siedner MJ, Muzoora C, et al. Higher baseline CD4 cell count predicts treatment interruptions and persistent viremia in patients initiating ARVs in rural Uganda. J Acquir Immune Defic Syndr. 2013;62:317-321.
8. World Health Organization. Consolidated Guidelines on the Use of Antiretroviral Drugs for Treating and Preventing HIV Infection-Recommendations for a Public Health Approach. WHO Press; Geneva, Switzerland; 2013.
9. Thompson MA, Mugavero MJ, Amico KR, et al. Guidelines for improving entry into and retention in care and antiretroviral adherence for persons with HIV: evidence-based recommendations from an International Association of Physicians in AIDS Care panel. Ann Intern Med. 2012;156:817-833, w-284, w-285, w-286, w-287, w-288, w-289, w-290, w-291, w-292, w-293, w-294.
10. Gapminder. Bubble map of cell phones (per 100 people). 2010. Available at: http://www.gapminder.org/. Accessed August 19, 2015.
11. Wikipedia. List of countries by mobile phones in use. 2014. Available at: http://en.wikipedia.org/wiki/List-of-countries-by-number-of-mobile- phones-in-use. Accessed August 19, 2015.
12. Pop-Eleches C, Thirumurthy H, Habyarimana JP, 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;25:825-834.
13. 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. 2010;376:1838-1845.
14. Hardy H, Kumar V, Doros G, et al. Randomized controlled trial of a personalized cellular phone reminder system to enhance adherence to antiretroviral therapy. AIDS Patient Care and STDS. 2011;25:153-161.
15. Bigna JJR, Kouanfack C, Noubiap JJN, et al. A randomized blinded controlled trial of mobile phone reminders on the follow-up medical care of HIV-exposed and HIV-infected children in Cameroon: study protocol (MORE CARE). Trials. 2013;14:313.
16. Maduka O, Obin-West CI. Adherence counseling and reminder text messages improve uptake of antiretroviral therapy in a tertiary hospital in Nigeria. Niger J Clin Pract. 2013;16:302-308.
17. Sabin LL, Bachman DeSilva M, Gill CJ, et al. Improving adherence to antiretroviral therapy with triggered real time text message reminders: the China through technology study (CATS). J Acquir Immune Defic Syndr. 2015;69:551-559.
18. Da Costa TM, Barbosa BJP, Gomes e Costa DAG, 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;81:257-269.
19. Mbuagbaw L, Thabane L, Ongolo-Zogo P, 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.
20. Shet A, De Costa A, Kumarasamy N, et al; HIVIND study team. Effect of mobile telephone reminders on treatment outcome in HIV: evidence from a randomised controlled trial in India. BMJ. 2014;349:g5978.
21. Ncaca LN, Kranzer K, Orrell C. Treatment interruption and variation in tablet taking behaviour result in viral failure: a case-control study from Cape Town, South Africa. PLoS One. 2011;6:e23088.
22. Clinical Guidelines for the Management of HIV & AIDS in Adults and Adolescents. National Department of Health South Africa; 2010. Available at: http://www.sahivsoc.org/practise-guidelines/sa-dept-of-health-guidelines. Accessed on August 19, 2015.
23. South African National Department of Health. National Consolidated Guidelines for the Prevention of Mother-to-Child Transmission of HIV (PMTCT) and the Management of HIV in Children, Adolescents and Adults. Pretoria, South Africa: Department of Health; 2014. Available at: http://www.health.gov.za/policies.php. Accessed August 19, 2015.
24. Orrell C, Kaplan R, Wood R, et al. Virological breakthrough: a risk factor for loss to follow-up in a large community-based cohort on antiretroviral therapy. AIDS Res Treat. 2011;2011:469127.
25. National Institute on Alcohol Abuse and Alcoholism. CAGE questionnaire. 2002. Available at: http://pubs.niaaa.nih.gov/publications/inscage.htm. Accessed August 19, 2015.
26. Herrmann C. International experiences with the hospital anxiety and depression scale-a review of validation data and clinical results. J Psychosom Res. 1997;42:17-41.
27. Bernadt MW, Mumford J, Taylor C, et al. Comparison of questionnaire and laboratory tests in the detection of excessive drinking and alcoholism. Lancet. 1982;1:325-328.
28. Wisepill technologies: real time adherence management. 2014. Available at: http://reports.mediscern.com/wisepill/index.php?option=com- content&view=article&id=84:the-wisepill-dispenser. Accessed August 19, 2015.
29. Haberer JE, Kahane J, Kigozi I, et al. Real-time adherence monitoring for HIV antiretroviral therapy. AIDS Behav. 2010;14:1340-1346.
30. Haberer JE, Kiwanuka J, Nansera D, et al. Realtime adherence monitoring of antiretroviral therapy among HIV-infected adults and children in rural Uganda. AIDS. 2013;27:2166-2168.
31. Parienti JJ, Das-Douglas M, Massari V, et al. Not all missed doses are the same: sustained NNRTI treatment interruptions predict HIV rebound at low-to-moderate adherence levels. PLoS One. 2008;3:e2783.
32. Oyugi JH, Byakika-Tusiime J, Ragland K, et al. Treatment interruptions predict resistance in HIV-positive individuals purchasing fixed-dose combination antiretroviral therapy in Kampala, Uganda. AIDS. 2007;21:965-971.
33. Dybul M, Nies-Kraske E, Daucher M, et al. Long-cycle structured intermittent versus continuous highly active antiretroviral therapy for the treatment of chronic infection with human immunodeficiency virus: effects on drug toxicity and on immunologic and virologic parameters. J Infect Dis. 2003;188:388-396.
34. Lima VD, Bangsberg DR, Harrigan PR, et al. Risk of viral failure declines with duration of suppression on highly active antiretroviral therapy irrespective of adherence level. J Acquir Immune Defic Syndr. 2010;55:460-465.
35. Rosenblum M, Deeks SG, van der Laan M, et al. The risk of virologic failure decreases with duration of HIV suppression, at greater than 50% adherence to antiretroviral therapy. PLoS One. 2009;4:e7196.
36. Nglazi MD, Kaplan R, Orrell C, et al. Increasing transfers-out from an antiretroviral treatment service in South Africa: patient characteristics and rates of virological non-suppression. PLoS One. 2013;8:e57907.
37. Nglazi MD, Lawn SD, Kaplan R, et al. Changes in programmatic outcomes during 7 years of scale-up at a community-based antiretroviral treatment service in South Africa. J Acquir Immune Defic Syndr. 2011;56:e1-e8.
38. Petersen ML, Wang Y, van der Laan MJ, et al. Pillbox organizers are associated with improved adherence to HIV antiretroviral therapy and viral suppression: a marginal structural model analysis. Clin Infect Dis. 2007;45:908-915.
39. Williams AB, Fennie KP, Bova CA, et al. Home visits to improve adherence to highly active antiretroviral therapy: a randomized controlled trial. J Acquir Immune Defic Syndr. 1999;2006:314-321.
40. Bärnighausen T, Chaiyachati K, Chimbindi N, et al. Interventions to increase antiretroviral adherence in sub-Saharan Africa: a systematic review of evaluation studies. Lancet Infect Dis. 2011;11:942-951.
41. Chaiyachati KH, Ogbuoji O, Price M, et al. Interventions to improve adherence to antiretroviral therapy: a rapid systematic review. AIDS. 2014;28(suppl 2):S187-S204.
42. Fenerty SD, West C, Davis SA, et al. The effect of reminder systems on patients' adherence to treatment. Patient Prefer Adherence. 2012;6:127-135.
43. Finitsis DJ, Pellowski JA, Johnson BT. Text message intervention designs to promote adherence to antiretroviral therapy (ART): a meta-analysis of randomized controlled trials. PLoS One. 2014;9:e88166.
44. Jones KR, Lekhak N, Kaewluang N. Using mobile phones and short message service to deliver self-management interventions for chronic conditions: a meta-review. Worldviews Evid Based Nurs. 2014;11:81-88.
45. Mbuagbaw L, Van Der Kop ML, Lester RT, et al. Mobile phone text messages for improving adherence to antiretroviral therapy (ART): an individual patient data meta-analysis of randomised trials. BMJ Open. 2013;3:e003950.