Use of a novel technology to track adherence to product use in a microbicide trial of short duration (MTN-007)

AIDS and Behavior

Volumn 17, Issue 9, 2013, Pages 3101-3107

  Leu, Cheng Shiun ^a   Mabragaña, Marina ^a   Giguere, Rebecca ^a   Dolezal, Curtis ^a   Carballo Diéguez, Alex ^a   McGowan, Ian ^b  

^a NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Adherence; IVR; Microbicides; Phone reporting system

Indexed keywords

ANTIINFECTIVE AGENT;

ADULT; ARTICLE; AUTOMATIC SPEECH RECOGNITION; DRUG DELIVERY SYSTEM; DRUG SELF ADMINISTRATION; FEMALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MALE; MEDICATION COMPLIANCE; MIDDLE AGED; MULTICENTER STUDY; PATIENT ATTITUDE; PATIENT COMPLIANCE; REMINDER SYSTEM; STATISTICS; TIME; UNITED STATES;

ADULT; ALABAMA; ANTI-INFECTIVE AGENTS; BOSTON; DRUG DELIVERY SYSTEMS; FEMALE; HIV INFECTIONS; HUMANS; MALE; MEDICATION ADHERENCE; MIDDLE AGED; PATIENT ACCEPTANCE OF HEALTH CARE; PATIENT COMPLIANCE; PHILADELPHIA; REMINDER SYSTEMS; SELF ADMINISTRATION; SPEECH RECOGNITION SOFTWARE; TIME FACTORS;

EID: 84889097255     PISSN: 10907165     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10461-013-0549-2     Document Type: Article

References (22)

1. Muchomba FM, Gearing RE, Simoni JM, El-Bassel N. State of science of adherence in pre-exposure prophylaxis and microbicide trials. J Acquir Immune Defic Syndr. 2012;61(4):490-8.
2. Mensch B, Hewett P, Abbott S, Rankin J, Littlefield S, Ahmed K, et al. Assessing the reporting of adherence and sexual activity in a simulated microbicide trial in South Africa: an interview mode experiment using a placebo gel. AIDS Behav. 2011;15(2):407-21.
3. Van der Straten A, Montgomery E, Pillay D, Cheng H, Naidoo A, Cele Z. Feasibility, performance, and acceptability of the Wisebag™ for potential monitoring of daily gel applicator use in Durban, South Africa. AIDS Behav. 2013;17(2):1-9.
4. 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.
5. Haberer J, Kahane J, Kigozi I, Emenyonu N, Hunt P, Martin J, et al. Real-time adherence monitoring for HIV antiretroviral therapy. AIDS Behav. 2010;14(6):1340-6.
6. Austin MN, Rabe LK, Hillier SL. Limitations of the dye-based method for determining vaginal applicator use in microbicide trials. Sex Transm Dis. 2009;36(6):368-71.
7. Mauck CK, Schwartz JL. Dyeing to know: the use of vaginal applicator staining and other techniques to assess adherence to product use in microbicide trials. Sex Transm Dis. 2012;39(9):713-5.
8. Morey TE, Wasdo S, Wishin J, Quinn B, Straten A van der, Booth M, et al. Feasibility of a Breath Test for Monitoring Adherence to Vaginal Administration of Antiretroviral Microbicide Gels. J Clin Pharmacol [Internet]. 2012 Jan 31 [cited 2012 Oct 5]; Available from: http://jcp.sagepub.com/content/early/2012/ 01/30/0091270011434157.
9. Mensch BS, Hewett PC, Erulkar A. The reporting of sensitive behavior by adolescents: a methodological experiment in Kenya. Demography. 2003;40(2):247-68.
10. Tolley EE, Harrison PF, Goetghebeur E, Morrow K, Pool R, Taylor D, et al. Adherence and its measurement in phase 2/3 microbicide trials. AIDS Behav. 2010;14(5):1124-36.
11. Pool R, Montgomery CM, Morar NS, Mweemba O, Ssali A, Gafos M, et al. A mixed methods and triangulation model for increasing the accuracy of adherence and sexual behaviour data: the Microbicides Development Programme. PLoS ONE. 2010;5(7):e11600.
12. Schroder KEE, Johnson CJ. Interactive voice response technology to measure HIV-related behavior. Curr HIV/AIDS Rep. 2009;6(4):210-6.
13. Hensel DJ, Harezlak J, Craig D, Fortenberry JD. The feasibility of cell phone based electronic diaries for STI/HIV research. BMC Med Res Methodol. 2012;12(1):75.
14. Bradley J, Ramesh BM, Rajaram S, Lobo A, Gurav K, Isac S, et al. The feasibility of using mobile phone technology for sexual behaviour research in a population vulnerable to HIV: a prospective survey with female sex workers in South India. AIDS Care. 2012;24(6):695-703.
15. Morrison DM, Leigh BC, Gillmore MR. Daily data collection: a comparison of three methods. J Sex Res. 1999;36(1):76-81.
16. Minnis AM, Padian NS. Reliability of adolescents' self-reported sexual behavior: a comparison of two diary methodologies. J Adolesc Health. 2001;28(5):394-403.
17. Kranzler HR, Abu-Hasaballah K, Tennen H, Feinn R, Young K. Using daily interactive voice response technology to measure drinking and related behaviors in a pharmacotherapy study. Alcohol Clin Exp Res. 2004;28(7):1060-4.
18. Tourangeau R, Smith TW. Asking sensitive questions: the impact of data collection mode, question format, and question context. Public Opin Q. 1996;60(2):275-304.
19. Bender BG, Apter A, Bogen DK, Dickinson P, Fisher L, Wamboldt FS, et al. Test of an interactive voice response intervention to improve adherence to controller medications in adults with asthma. J Am Board Fam Med. 2010;23(2):159-65.
20. Pop-Eleches C, Thirumurthy H, Habyarimana JP, Zivin JG, Goldstein MP, 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(6):825-34.
21. McGowan I, Hoesley C, Cranston RD, Andrew P, Janocko L, Dai JY, et al. A phase 1 randomized, double blind, placebo controlled rectal safety and acceptability study of tenofovir 1 % gel (MTN-007). PLoS ONE. 2013;8(4):e60147.
22. Stritzke W, Dandy J, Durkin K, Houghton S. Use of interactive voice response (IVR) technology in health research with children. Behav Res Methods. 2005;37(1):119-26. Development Development