Corresponding author: Shelley S. Magill, MD, PhD, Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, 1600 Clifton Rd., MS A-24, Atlanta, GA 30333, Phone: (404) 639-0291, smagill@cdc.gov. a Current affiliation: Mayo Clinic, Jacksonville, FL, USA b Current affiliation: Tanner Medical Center, Villa Rica, GA, USA The study described herein was presented in abstract form at the Fifth Decennial International Conference on Healthcare-Associated Infections, March 18-22, 2010, Atlanta, GA (Abstract #911). Objective-To determine healthcare-associated infection (HAI) prevalence in nine Jacksonville, FL hospitals, evaluate the performance of proxy indicators for HAIs, and refine methodology in preparation for a multi-state survey. HHS Public Access Design-Point prevalence survey.Patients-Acute care inpatients of any age.Methods-HAIs were defined using National Healthcare Safety Network criteria. In each facility a trained Primary Team (PT) of infection prevention (IP) staff performed the survey on 1 day, reviewing records and collecting data on a random sample of inpatients. PTs assessed patients with ≥1 proxy indicator (abnormal white blood cell count, abnormal temperature, or antimicrobial therapy) for the presence of HAIs. An external IP expert team collected data from a subset of patient records reviewed by PTs to assess proxy indicator performance and PT data collection.Results-Of 851 patients surveyed by PTs, 51 had ≥1 HAI (6.0%, 95% confidence interval 4.5-7.7%). Surgical site infections (n=18), urinary tract infections (n=9), pneumonia (n=9), and bloodstream infections (n=8) accounted for 75.8% of 58 HAIs detected by PTs. Staphylococcus aureus was the most common pathogen, causing 9 HAIs (15.5%). Antimicrobial therapy was the most sensitive proxy indicator, identifying 95.5% of patients with HAIs.

Opioid withdrawal occurs frequently in critically ill neonates who receive continuous infusions of fentanyl. Longer infusion duration and higher total dose were associated with withdrawal symptoms.

Background HealthMindr is a mobile phone HIV prevention app for men who have sex with men (MSM). In a previous pilot study, HealthMindr was found to be acceptable among users and to demonstrate preliminary effectiveness for increasing pre-exposure prophylaxis (PrEP) uptake among MSM. PrEP is a highly effective HIV prevention intervention; however, uptake remains low. Objective To assess the efficacy of a mobile app for increasing PrEP uptake among MSM in the southern United States. Methods In this randomized controlled trial, we will assess the efficacy of HealthMindr for increasing PrEP uptake among MSM in the following three southern US cities: Atlanta, Georgia; Jackson, Mississippi; and Washington, DC. In total, 657 men will be recruited and randomized to intervention and control arms in a 2:1 ratio. Participants in the intervention arm will receive access to the full HealthMindr app, with information and resources about PrEP (eg, frequently asked questions, risk assessment tool, and PrEP provider locator), other HIV prevention information, ability to order free HIV/sexually transmitted infection test kits, and additional resources related to substance use and mental health. Participants in the control arm will use the HealthMindr app but will only have access to the study timeline and a message center to communicate with study staff. Participants will complete quarterly surveys to assess self-reported PrEP uptake over 12 months of follow-up. Self-reported PrEP uptake will be verified by dried blood spot testing and/or uploading a photograph of a PrEP prescription. Results Participant recruitment is expected to begin in January 2020. Conclusions This trial will determine whether the HealthMindr app can increase PrEP uptake among MSM in the southern United States. Trial Registration ClinicalTrials.gov NCT03763942; https://clinicaltrials.gov/ct2/show/NCT03763942 International Registered Report Identifier (IRRID) PRR1-10.2196/16231

Stigma regarding HIV pre-exposure prophylaxis (PrEP) is commonly implicated as a factor limiting the scale-up of this highly effective HIV prevention modality. To quantify and characterize PrEP stigma, we developed and validated a brief HIV PrEP Stigma Scale (HPSS) among a group of 279 men who have sex with men (MSM). Scale development was informed by a theoretical model to enhance content validity. We assessed two scale versions, Semantic Differential and Likert, randomizing the order in which scales were presented to participants. Both scales demonstrated high internal consistency. The Likert scale had substantially better construct validity and was selected as the preferred option. Scale scores demonstrated construct validity through association with constructs of interest: healthcare distrust, HIV knowledge, perceived proportion of friends/partners on PrEP, perceived community evaluation of PrEP, and perceived effectiveness of PrEP. The scale accounted for 25% of the total variance in reported willingness to be on PrEP, indicating the substantial role PrEP stigma may have on decisions to initiate PrEP. Given increased efforts to roll-out PrEP, having a valid tool to determine the level and types of PrEP stigma in individuals, groups, and communities can help direct implementation plans, identify goals for stigma reduction, and monitor progress over time.

Throughout the world, men who have sex with men (MSM) are at increased risk for HIV infection compared to heterosexual men. Little is known about awareness of HIV infection and other gaps in the HIV care continuum for MSM, especially in sub-Saharan Africa (SSA). This information is urgently needed to address the HIV epidemic in this population. This study assessed gaps in the HIV care continuum among persons screened for participation in a multi-country prospective study that evaluated the feasibility of recruiting and retaining MSM for HIV prevention studies in SSA (HIV Prevention Trials Network (HPTN) 075, conducted in four cities in Kenya, Malawi, and South Africa). Participants were recruited using site-specific strategies, that included outreach and informal networks. Transgender women (TW) were eligible to participate. During screening, 601 MSM and TW were tested for HIV infection and asked about prior HIV testing, HIV status, engagement in care, and HIV treatment. Viral load testing and retrospective antiretroviral (ARV) drug testing were performed for HIV-infected participants. Most participants (92.2%) had a prior HIV test; 42.1% were last tested >6 months earlier. HIV prevalence was 30.4%. HIV infection was associated with older age and identifying as female or transgender; 43.7% of the HIV-infected participants were newly diagnosed, especially younger persons and persons with a less recent HIV test. Almost a third of previously-diagnosed participants were not linked to care. Most participants (88.7%) in care were on ARV treatment (ART). Only about one-quarter of all HIV-infected participants were virally suppressed. These findings demonstrate substantial prevalence of undiagnosed HIV infection and sub-optimal HIV care engagement among MSM and TW in SSA. Increased HIV testing frequency and better linkage to care represent critical steps in preventing further HIV transmission in this population. Once in care, gaps in the HIV care continuum appear less critical.