Impact of a personalised, digital, HIV self-testing app-based program on linkages and new infections in the township populations of South Africa.

INTRODUCTION: Implementation data for digital unsupervised HIV self-testing (HIVST) are sparse. We evaluated the impact of an app-based, personalised, oral HIVST program offered by healthcare workers in Western Cape, South Africa. METHODS: In a quasirandomised study (n=3095), we recruited consenting adults with undiagnosed HIV infection from township clinics. To the HIVST arm participants (n=1535), we offered a choice of an offsite (home, office or kiosk based), unsupervised digital HIVST program (n=962), or an onsite, clinic-based, supervised digital HIVST program (n=573) with 24/7 linkages services.With propensity score analyses, we compared outcomes (ie, linkages, new HIV infections and test referrals) with conventional HIV testing (ConvHT) arm participants (n=1560), recruited randomly from geographically separated clinics. RESULTS: In both arms, participants were young (HIVST vs ConvHT) (mean age: 28.2 years vs 29.2 years), female (65.0% vs 76.0%) and had monthly income <3000 rand (80.8% vs 75%).Participants chose unsupervised HIVST (62.7%) versus supervised HIVST and reported multiple sex partners (10.88% vs 8.7%), exposure to sex workers (1.4% vs 0.2%) and fewer comorbidities (0.9% vs 1.9%). Almost all HIVST participants were linked (unsupervised HIVST (99.7%), supervised HIVST (99.8%) vs ConvHT (98.5%)) (adj RR 1.012; 95% CI 1.005 to 1.018) with new HIV infections: overall HIVST (9%); supervised HIVST (10.9%) and unsupervised HIVST (7.6%) versus ConvHT (6.79%) (adj RR 1.305; 95% CI 1.023 to 1.665); test referrals: 16.7% HIVST versus 3.1% ConvHT (adj RR 5.435; 95% CI 4.024 to 7.340). CONCLUSIONS: Our flexible, personalised, app-based HIVST program, offered by healthcare workers, successfully linked almost all HIV self-testers, detected new infections and increased referrals to self-test. Data are relevant for digital HIVST initiatives worldwide.

An Unsupervised Smart App-Optimized HIV Self-Testing Program in Montreal, Canada: Cross-Sectional Study.

BACKGROUND: Although HIV self-testing strategies have been recommended by the World Health Organization, HIV self-tests are not yet approved in Canada. Currently approved HIV self-tests offer toll-free lines that are insufficient for initiating expedited linkages to counseling and care, accurate interpretation, and support during HIV self-testing. We developed an innovative, multilingual software app called HIVSmart! to plug these gaps. OBJECTIVE: This study aimed to test our app-optimized oral HIV self-testing strategy for feasibility in men who have sex with men (MSM) who presented to test at a large sexual health clinic (Clinique Médicale L'Actuel) in Montreal. METHODS: Between July 2016 and February 2017, we offered a strategy consisting of the OraQuick In-Home HIV Test (an investigational device) and a tablet installed with the HIVSmart! app to study participants, who presented at a private office in the clinic, mimicking an unsupervised home environment. We evaluated the strategy for its feasibility, acceptability, and preference. Using the HIVSmart! app, participants were guided through the self-testing process. We determined feasibility with a metric defined as the completion rate, which consisted of the following 3 steps: (1) self-test conduct; (2) self-test interpretation; and (3) linkages to care. Participants independently performed, interpreted, recorded their self-test and result, engaged in pre- and posttest counseling, and sought linkages to care. Laboratory tests (p24, Western Blot, and RNA), as per country algorithms, were expedited, and linkages based on the rapid test status were arranged. RESULTS: Mean age of the 451 participants enrolled was 34 (range, 18-73) years. Of all participants, 97.1% (438/451) completed and submitted the survey through the HIVSmart! app. In total, 84.7% (371/438) of the participants were well educated (beyond high school) and 52.5% (230/438) had been tested within the past 6 months. Of the 451, 11.5% (52/451) were on pre-exposure prophylaxis. Feasibility (completion rate), an average proportion of the 3 steps, was computed to be 96.6% (419/451). The acceptability of the strategy was high at 98.5% (451/458). A majority of the participants (448/451, 99.3%) were found to be self-tested and lab-confirmed negative and were counseled after self- and rapid tests. In total, 0.7% (3/451) of the participants who self-tested positive and were lab-confirmed positive were linked to a physician within the same day. Furthermore, 98.8% (417/422) of the participants found the app to be useful and 94.0% (424/451) were willing to recommend it to a friend or partner. CONCLUSIONS: The HIVSmart! app-optimized strategy was feasible, accepted, and preferred by an educated, urban MSM population of Montreal. With the app, participants were able to perform, interpret, store results, and get rapidly linked to care. The HIVSmart!-optimized, self-testing strategy could be adapted and contextualized to many at-risk populations within Canada and worldwide, thereby maximizing its public health impact.

Improving the Quality of Diagnostic Studies Evaluating Point of Care Tests for Acute HIV Infections: Problems and Recommendations.

The diagnosis of acute human immunodeficiency virus (HIV) infection (AHI) plays a unique role in preventing the spread of HIV and ending the epidemic. Acutely infected individuals are thought to contribute substantially to forward transmissions of HIV; however, diagnosing AHI in resource-limited settings has proven to be a challenge. While fourth generation antigen-antibody combination assays have been successful in high-resource settings, rapid point of care (POC) versions of these assays have yet to demonstrate high sensitivity to detect AHI. Newer RNA/DNA based POC technologies are being validated, but the challenge to understand the additional value of these devices depends on the quality of study evaluations, in particular choice of study designs and case mix of included populations. In this commentary, we aimed to review the quality of studies evaluating a new fourth generation rapid test for detecting AHI, to identify general methodological limitations and biases in diagnostic accuracy studies, and to recommend strategies for avoiding them in future evaluations. The new studies that were evaluated continued to report the same weaknesses and biases that were seen in previous evaluations of fourth generation rapid tests. We recommend that investigators design future studies carefully, keeping in mind how diagnostic performance may be influenced by prevalence, population, patient case mixes, and reference standards. Care must be taken to avoid biases specific to diagnostic accuracy studies (spectrum, verification, incorporation and reference standard biases). To improve on quality, reporting checklists and guidelines such as Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) and Standards for Reporting Diagnostic accuracy studies (STARD) should be reviewed prior to conducting studies.

Measures and Metrics for Feasibility of Proof-of-Concept Studies With Human Immunodeficiency Virus Rapid Point-of-Care Technologies: The Evidence and the Framework.

OBJECTIVE: Pilot (feasibility) studies form a vast majority of diagnostic studies with point-of-care technologies but often lack use of clear measures/metrics and a consistent framework for reporting and evaluation. To fill this gap, we systematically reviewed data to (a) catalog feasibility measures/metrics and (b) propose a framework. METHODS: For the period January 2000 to March 2014, 2 reviewers searched 4 databases (MEDLINE, EMBASE, CINAHL, Scopus), retrieved 1441 citations, and abstracted data from 81 studies. We observed 2 major categories of measures, that is, implementation centered and patient centered, and 4 subcategories of measures, that is, feasibility, acceptability, preference, and patient experience. We defined and delineated metrics and measures for a feasibility framework. We documented impact measures for a comparison. FINDINGS: We observed heterogeneity in reporting of metrics as well as misclassification and misuse of metrics within measures. Although we observed poorly defined measures and metrics for feasibility, preference, and patient experience, in contrast, acceptability measure was the best defined. For example, within feasibility, metrics such as consent, completion, new infection, linkage rates, and turnaround times were misclassified and reported. Similarly, patient experience was variously reported as test convenience, comfort, pain, and/or satisfaction. In contrast, within impact measures, all the metrics were well documented, thus serving as a good baseline comparator. With our framework, we classified, delineated, and defined quantitative measures and metrics for feasibility. CONCLUSIONS: Our framework, with its defined measures/metrics, could reduce misclassification and improve the overall quality of reporting for monitoring and evaluation of rapid point-of-care technology strategies and their context-driven optimization.

Evaluation of a Rapid Point of Care Test for Detecting Acute and Established HIV Infection, and Examining the Role of Study Quality on Diagnostic Accuracy: A Bayesian Meta-Analysis.

INTRODUCTION: Fourth generation (Ag/Ab combination) point of care HIV tests like the FDA-approved Determine HIV1/2 Ag/Ab Combo test offer the promise of timely detection of acute HIV infection, relevant in the context of HIV control. However, a synthesis of their performance has not yet been done. In this meta-analysis we not only assessed device performance but also evaluated the role of study quality on diagnostic accuracy. METHODS: Two independent reviewers searched seven databases, including conferences and bibliographies, and independently extracted data from 17 studies. Study quality was assessed with QUADAS-2. Data on sensitivity and specificity (overall, antigen, and antibody) were pooled using a Bayesian hierarchical random effects meta-analysis model. Subgroups were analyzed by blood samples (serum/plasma vs. whole blood) and study designs (case-control vs. cross-sectional). RESULTS: The overall specificity of the Determine Combo test was 99.1%, 95% credible interval (CrI) [97.3-99.8]. The overall pooled sensitivity for the device was at 88.5%, 95% [80.1-93.4]. When the components of the test were analyzed separately, the pooled specificities were 99.7%, 95% CrI [96.8-100] and 99.6%, 95% CrI [99.0-99.8], for the antigen and antibody components, respectively. Pooled sensitivity of the antibody component was 97.3%, 95% CrI [60.7-99.9], and pooled sensitivity for the antigen component was found to be 12.3%, 95% (CrI) [1.1-44.2]. No significant differences were found between subgroups by blood sample or study design. However, it was noted that many studies restricted their study sample to p24 antigen or RNA positive specimens, which may have led to underestimation of overall test performance. Detection bias, selection (spectrum) bias, incorporation bias, and verification bias impaired study quality. CONCLUSIONS: Although the specificity of all test components was high, antigenic sensitivity will merit from an improvement. Besides the accuracy of the device itself, study quality, also impacts the performance of the test. These factors must be kept in mind in future evaluations of an improved device, relevant for global scale up and implementation.

Bcl-2 is required for the survival of doublecortin-expressing immature neurons.

In the adult brain only a small proportion of the neural stem and progenitor cells (NPCs) and their progeny survive to become mature neurons in the hippocampus. Recent studies have elucidated the roles for members of the B-cell lymphoma-2 (Bcl-2) family of proteins in regulating the survival of NPCs and their progeny at different stages of maturation, yet the requirement of Bcl-2 during this process remains unknown. Here we report that inducible removal of Bcl-2 from nestin-expressing neural stem/progenitor cells and their progeny resulted in a reduction in the survival of doublecortin-expressing cells in the absence of changing the number of radial-glial stem cells or dividing NPCs. The requirement of Bcl-2 for the survival of maturing NPCs was confirmed by removal of Bcl-2 through infecting NPCs using a retroviral strategy that resulted in the complete loss of Bcl-2 null cells by 30-day post-viral injection. Furthermore, we observed that the function of Bcl-2 in the adult-generated neurons was dependent on the Bcl-2-associated X (BAX) protein, since Bcl-2 null NPCs were rescued in BAX knockout mice. These results indicate that Bcl-2 is an essential regulator in the survival of doublecortin-expressing immature neurons through a mechanism that is upstream of BAX.

Update on progress in electronic reporting of laboratory results to public health agencies - United States, 2014.

Since 2010, CDC has provided resources from the Prevention and Public Health Fund of the Affordable Care Act to 57 state, local, and territorial health departments through the Epidemiology and Laboratory Capacity for Infectious Diseases cooperative agreement to assist with implementation of electronic laboratory reporting (ELR)* from clinical and public health laboratories to public health agencies. To update information from a previous report about the progress in implementing ELR in the United States, CDC examined regular communications between the agency and the 57 health departments during 2012-2014. The results indicated that, as of July 2014, 67% of the approximately 20 million laboratory reports received annually for notifiable conditions were received electronically, compared with 62% in July 2013. These electronic reports were received by 55 of the 57 jurisdictions and came from 3,269 (up from nearly 2,900 in July 2013) of approximately 10,600 reporting laboratories. The proportion of laboratory reports received electronically varied by jurisdiction. In 2014, compared with 2013, the number of jurisdictions receiving >75% of laboratory reports electronically was higher (21 versus 14), and the number of jurisdictions receiving <25% of reports electronically was lower (seven versus nine). National implementation of ELR continues to increase and appears it might reach 80% of total laboratory report volume by 2016.