RR:C19 Evidence Scale rating by reviewer:
Reliable. The main study claims are generally justified by its methods and data. The results and conclusions are likely to be similar to the hypothetical ideal study. There are some minor caveats or limitations, but they would/do not change the major claims of the study. The study provides sufficient strength of evidence on its own that its main claims should be considered actionable, with some room for future revision.
***************************************
Review: The study found low uptake (22%) of HIV self-testing (HIVST), regardless of the community-led distribution model used. There was no significant association between community cohesion and uptake of HIVST or confirmatory testing, voluntary medical male circumcision, pre-exposure prophylaxis, or viral load suppression. However, there was a significant association between community cohesion and new HIV diagnoses based on self-reporting.
The authors conducted a secondary analysis of data from a published cluster randomized trial. The study aimed to identify factors associated with successful community-led distribution of HIV self-test kits by paid distributors. The study revealed low uptake of HIV self-testing (HIVST) at approximately 22%, with no significant difference between distribution models. While community cohesion did not have an impact on some primary outcomes, including HIVST uptake and linkage to confirmatory testing, voluntary medical male circumcision (VMMC), pre-exposure prophylaxis (PrEP), or viral load suppression, it was significantly associated with new HIV diagnoses based on self-reporting. Overall, this well-written manuscript provides an important addition to existing literature. However, I have some suggestions for improving its quality.
Major Comments:
Incorporating a costing analysis would enhance the paper's impact by providing a comprehensive understanding of the intervention's budgetary implications. The study successfully distributed 27,812 HIVST kits through 348 distributors and surveyed 5,683 out of 6,748 participants (84%). Determining the cost per new HIV diagnosis and cost for each successful linkage to care would provide valuable information for both HIV programs and policymakers, aiding in resource allocation and decision-making. However, if these data are not currently available, including this as a recommendation for future research would be beneficial.
Methods, lines 170-172. The authors state that U=U results in “a greatly reduced risk of onward transmission” and cite reference 19. However, this wording implies that there may still be a residual risk of HIV transmission even with viral suppression, which could cause uncertainty for people with HIV and their sexual partners. In contrast, reference 19 defines U=U as meaning that “HIV-positive individuals with an undetectable viral load cannot transmit HIV to sexual partners.” The US National Institute of Allergy and Infectious Diseases also endorses U=U by stating there is “effectively no risk of sexual transmission of HIV when the partner living with HIV has a durably undetectable viral load.” Please consider revising the text to clarify the U=U message.
Abstract: It is recommended that the authors report all primary outcomes rather than just those that show a significant association with community cohesion.
Other revisions:
Results, lines 423-427: The data presentation format may cause confusion due to the use of nested parentheses. To improve readability, it is recommended to replace inner parentheses with square brackets or semi-colons and clearly indicate that values in nested parentheses represent 95% confidence intervals. For example, (aOR 0.70, [95% CI: 0.40-1.22], p=0.21) or (aOR 0.70; 95% CI: 0.40-1.22; p=0.21).
Discussion, lines 508-509: Please provide a reference for this sentence: “There is some evidence…”
Discussion. Lines 510 and 511: The preferred terminology is transitioning from "people living with HIV (PLHIV)" to "people with HIV" (PWH) as, by definition, individuals with HIV are living.
Community-driven distribution of HIV self-tests shows potential as an intervention to identify individuals with undiagnosed HIV and facilitate their access to care. Conducting cost-effective analyses can provide important insights for HIV programs and policymakers seeking to implement this approach.