Evidence map›Paper›PMID 38451884›Full record

Trial reportPloS one2024

Acceptability and feasibility of long-term, real-time electronic adherence monitoring of HIV pre-exposure prophylaxis (PrEP) use among young women in Kenya: A mixed methods study.

Vallery A Ogello, Bernard Kipkoech Rono, Kenneth Ngure, Eric Sedah, Nicholas B Thuo, Nicholas Musinguzi, Jared M Baeten, Elizabeth A Bukusi, Nelly R Mugo, Jessica E Haberer

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Vallery A OgelloCenter of Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Bernard Kipkoech RonoCenter for microbiology research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0001-6553-8491
Kenneth NgureDepartment of Community Health, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Eric SedahCenter for microbiology research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-5705-4216
Nicholas B ThuoCenter of Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Nicholas MusinguziGlobal Health Collaborative, Mbarara, Uganda.
Jared M BaetenDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Elizabeth A BukusiCenter for microbiology research, Kenya Medical Research Institute, Kisumu, Kenya.ORCID 0000-0002-2031-2808
Nelly R MugoCenter of Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Jessica E HabererCenter for Global Health, Massachusetts General Hospital, Boston, Massachusetts, United States of America.ORCID 0000-0001-5845-3190
Kenya Medical Research Institute · KEUniversity of Washington · USHarvard University · US

Funding

Next generation real-time monitoring for PrEP adherence in young Kenyan womenR01MH109309 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BAETEN, JARED, HABERER, JESSICA ELIZABETH · 2016 to 2019
$2.7M
NIMH NIH HHS R01 MH109309
6 · The paper itself

Abstract

Real-time electronic adherence monitoring involves "smart" pill boxes that record and monitor openings as a proxy for pill taking and may be useful in understanding and supporting PrEP use; however, acceptability and/or feasibility for PrEP users is uncertain. We sought to understand the experiences of using a real-time electronic adherence monitor for PrEP delivery among young women in Kisumu and Thika, Kenya. We used the Wisepill device to monitor PrEP use among 18-24-year-old women for two years. Half of the participants were randomized to also receive SMS adherence reminders (daily or as needed for missed doses). We assessed acceptability quantitatively and qualitatively according to the four constructs of Unified Theory of Acceptance and Use of Technology (UTAUT): performance expectancy, effort expectancy, social influence, and facilitating conditions. We assessed feasibility by monitor functionality during periods of PrEP use. We analyzed quantitative data descriptively and compared by site and over time; qualitative data were analyzed inductively and deductively. The median age was 21 years (IQR 19-22), median education was 12 years (IQR 10-13), 182 (53%) had disclosed PrEP use, and 55 (16%) reported recent intimate partner violence. Most participants reported high levels of usefulness and high interest in using the monitor with few problems or worries reported throughout follow-up. Feasibility was high overall with some differences by site (96% functional monitor days in Kisumu vs 88% in Thika). Few monitors were reported lost (N = 29; 8%) or dysfunctional (N = 11; 3%). In qualitative interviews, electronic monitoring was perceived as useful because it supported privacy, confidentiality, easy storage, and PrEP adherence. Effort was generally considered low. Participants expressed some concern for stigma from monitor and/or PrEP use. Facilitating conditions involved the monitor size, color, and battery life. Overall, real-time electronic adherence monitoring was a highly acceptable and feasible approach to understand PrEP adherence among young women in a sub-Saharan African setting.

Indexed as

Anti-HIV AgentsHIV InfectionsPre-Exposure ProphylaxisAdolescentAdultElectronicsFeasibility StudiesFemaleHumansKenyaMedication AdherenceYoung AdultAnti-HIV Agents

Identifiers

PMID38451884
PMCPMC10919630
OpenAlexW4392545245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.