Comparison of short messaging service self-reported adherence with other adherence measures in a demonstration project of HIV preexposure prophylaxis in Kenya and Uganda

Simple item page
dc.contributor.authorMusinguzi, Nicholas
dc.contributor.authorMuwonge, Timothy
dc.contributor.authorNgure, Kenneth
dc.contributor.authorKatabira, Elly
dc.contributor.authorMugo, Nelly
dc.contributor.authorO’Rourke Burns, Bridget Frances
dc.contributor.authorBaeten, Jared M.
dc.contributor.authorHeffron, Renee
dc.contributor.authorHaberer, Jessica E.
dc.date.accessioned2023-02-07T18:36:33Z
dc.date.available2023-02-07T18:36:33Z
dc.date.issued2018
dc.description.abstractShort 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.en_US
dc.identifier.citationMusinguzi, N., Muwonge, T., Ngure, K., Katabira, E., Mugo, N., Burns, B. F. O. R., ... & Haberer, J. E. (2018). Comparison of short messaging service self-reported adherence with other adherence measures in a demonstration project of HIV preexposure prophylaxis in Kenya and Uganda. AIDS (London, England), 32(15), 2237. doi:10.1097/QAD.0000000000001955.en_US
dc.identifier.other10.1097/QAD.0000000000001955.
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/7631
dc.language.isoenen_US
dc.publisherAIDS (London, England)en_US
dc.subjectAdherenceen_US
dc.subjectHIV preexposure prophylaxisen_US
dc.subjectKenyaen_US
dc.subjectself-reported adherenceen_US
dc.subjectShort messaging serviceen_US
dc.titleComparison of short messaging service self-reported adherence with other adherence measures in a demonstration project of HIV preexposure prophylaxis in Kenya and Ugandaen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Comparison of short messaging service self-reported adherence.pdf
Size:
265.49 KB
Format:
Adobe Portable Document Format
Description:
Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Medical and Health Sciences