ArticleAIDS and behavior2026
Factors Associated with Mobile App Ordering of HIV Self-test Kits and Reporting of Results Among Black People in Canada: Analysis of Data from "I'm Ready" National HIV Self-testing Implementation Study.
Article in AIDS and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Black people experience significant barriers to accessing facility-based HIV testing. HIV self-testing is an effective way to increase testing among populations with limited access to facility-based testing. However, the acceptance and uptake of HIV self-testing varies among different populations. The objective of this study was to examine the factors associated with the uptake of HIV self-testing kits and reporting of test results by Black people. The findings from this study will provide empirical evidence to inform the design of evidence-based strategies aimed at increasing HIV self-testing in Black communities in Canada. We analyzed data for Black participants in the 'I'm Ready' HIV self-teting implementation study to examine factors associated with the uptake of HIV self-test kits and reporting of test results. We used descriptive statistics (frequencies, proportions) to describe demographic characteristics and variables of interest, while bivariate and multivariable binary logistic regression was used to examine associations between demographic characteristics and ordering a kit and submitting a test result. Among the 14,071 participants who participated in the "I'm Ready" implementation study, 3,082 (22%) identified as Black. Among Black participants, the majority (51%) were 18-24 years and identified as cis-men (53%) or cis-women (43%). One in five participants identified as gay, bisexual or queer. Age (> 24 years) and gender (non-binary, Trans man/woman, gender queer and self-described gender) were associated with high likelihood of ordering a test kit. However, employment status (being self-employed or unemployed), precarious immigration status (refugee status, temporary work permit status and undocumented status), province or territory of residence, (living in British Columbia, Prairies, Atlantic provinces and the Territories), or living in small and medium sized communities and sexual risk behavior were all associated with less likelihood of ordering a test kit. Only Immigration status (undocumented status or refugee status) was associated with less likelihood of reporting of test results. Interventions to increase the uptake and reporting of HIV self-testing among Black people should explore ways to reach high-risk individuals, those with precarious employment or precarious immigration status, and those who live in small or medium sized communities in Canada.
Indexed as
Identifiers
42627576What OpenQuestion holds
Registered trials
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.