Comparison of short messaging service self-reported adherence with other adherence measures in a demonstration project of HIV preexposure prophylaxis in Kenya and Uganda. (24th September 2018)

• Record Type: Journal Article
• Authors: Musinguzi, Nicholas; Muwonge, Timothy; Ngure, Kenneth; Katabira, Elly; Mugo, Nelly; Burns, Bridget Frances O'Rourke; Baeten, Jared M.; Heffron, Renee; Haberer, Jessica E.
• Is Part Of: AIDS. Volume 32:Number 15(2018)
• Publication Date: 2018-09-24
• Subjects: adherence -- HIV preexposure prophylaxis -- Kenya -- self-reported adherence -- short messaging service -- Uganda; AIDS (Disease) -- Periodicals; Acquired Immunodeficiency Syndrome; AIDS (Disease); Periodicals; Periodicals; 616.9792005
• DOI: 10.1097/QAD.0000000000001955
• Languages: English
• ISSNs: 0269-9370

Abstract

Abstract : Objective: Short messaging service (SMS) can collect adherence data on a frequent basis and is relatively anonymous, and therefore could potentially reduce recall and social desirability biases prevalent in other self-reported measures. Methods: We compared SMS self-reported adherence with three self-reported adherence questions (rating of ability to adhere, frequency of doses taken, percentage of doses taken) and two objective adherence measures [electronic adherence monitoring (EAM) and plasma tenofovir levels] using data from HIV-uninfected members of serodiscordant couples enrolled in a preexposure prophylaxis demonstration project in Kenya and Uganda. Results: Of 373 enrolled participants, 256 (69%) were male and median age at enrolment was 29 years (26, 35). Fifty-two percent were from Kenya and median education at enrolment was 10 years (7, 12). Overall, median adherence was 90, 75, 85, 94 and 79%, respectively, for self-report by SMS, rating, frequency, percentage and EAM adherence. Spearman's correlation coefficient between SMS and interviewer-administered self-reported measures was 0.18 for rating and frequency, 0.22 for percentage and 0.14 for EAM (all P < 0.001). The estimated difference in average adherence between SMS and self-reported rating, frequency, percentage adherence and EAM was 8.1 ( P < 0.001), 0.3 ( P = 0.81), −5.2 ( P < 0.001) and 9.5 ( P < 0.001), respectively. Area under the receiver-operating curve assessing the ability of SMS self-report to discriminate between detectable and undetectable tenofovir was 0.51. Conclusion: Our study found low correlation between SMS self-report and other self-reported and objective adherence measures and did not discriminate between detectable and undetectable plasma tenofovir levels. Future use of SMS self-report should explore alternative means for reducing potential biases. Abstract : Supplemental Digital Content is available in the text