Unmet Needs for Ancillary Services and Associations with Clinical Outcomes Among Transgender Women with Diagnosed HIV: Medical Monitoring Project, United States, 2015-2020.

Purpose: Access to ancillary services-including HIV support services, non-HIV clinical services, and subsistence services-can support care engagement and viral suppression and reduce disparities among people with HIV (PWH). We used representative U.S. data to assess differences in unmet needs for ancillary services between transgender women with HIV and other PWH. In addition, we examined associations between unmet needs and clinical outcomes among transgender women. Methods: We analyzed 2015-2020 Medical Monitoring Project data among transgender women (N = 362), cisgender men (N = 17,319), and cisgender women (N = 6016) with HIV. We reported weighted percentages for characteristics, and reported adjusted prevalence ratios (aPRs) controlling for race/ethnicity and age, and 95% confidence intervals (CI) using logistic regression with predicted marginal means to assess differences between groups. Results: Among transgender women, unmet needs were highest for dental care (24.9%), shelter or housing (13.9%), and transportation assistance (12.6%). Transgender women were more likely than cisgender men to have unmet subsistence needs. Among transgender women, unmet needs for ancillary services were negatively associated with many clinical outcomes after adjusting for age and race/ethnicity. Unmet needs for subsistence services were associated with higher levels of antiretroviral therapy nonadherence (aPR: 1.39; 95% CI: 1.13-1.70) and detectable viral loads (aPR: 1.47; 1.09-1.98), emergency room visits (aPR: 1.42; 1.06-1.90), and depression (aPR: 2.74; 1.83-4.10) or anxiety (aPR: 3.20; 2.05-5.00) symptoms. Conclusions: Transgender women with HIV were more likely than cisgender men with HIV to experience unmet needs for subsistence services-likely a reflection of substantial socioeconomic disadvantage. Addressing unmet needs is an essential step for improving care outcomes among transgender women with HIV.

Risk-Factors for Exposure Associated With SARS-CoV-2 Detection After Recent Known or Potential COVID-19 Exposures Among Patients Seeking Medical Care at a Large Urban, Public Hospital in Fulton County, Georgia - A Cross-Sectional Investigation.

We aimed to describe frequency of COVID-19 exposure risk factors among patients presenting for medical care at an urban, public hospital serving mostly uninsured/Medicare/Medicaid clients and risk factors associated with SARS-CoV-2 infection. Consenting, adult patients seeking care at a public hospital from August to November 2020 were enrolled in this cross-sectional investigation. Saliva, anterior nasal and nasopharyngeal swabs were collected and tested for SARS-CoV-2 using RT-PCR. Participant demographics, close contact, and activities ≤14 days prior to enrollment were collected through interview. Logistic regression was used to identify risk factors associated with testing positive for SARS-CoV-2. Among 1,078 participants, 51.8% were male, 57.0% were aged ≥50 years, 81.3% were non-Hispanic Black, and 7.6% had positive SARS-CoV-2 tests. Only 2.7% reported COVID-19 close contact ≤14 days before enrollment; this group had 6.79 adjusted odds of testing positive (95%CI = 2.78-16.62) than those without a reported exposure. Among participants who did not report COVID-19 close contact, working in proximity to ≥10 people (adjusted OR = 2.17; 95%CI = 1.03-4.55), choir practice (adjusted OR = 11.85; 95%CI = 1.44-97.91), traveling on a plane (adjusted OR = 5.78; 95%CI = 1.70-19.68), and not participating in an essential indoor activity (i.e., grocery shopping, public transit use, or visiting a healthcare facility; adjusted OR = 2.15; 95%CI = 1.07-4.30) were associated with increased odds of testing positive. Among this population of mostly Black, non-Hispanic participants seeking care at a public hospital, we found several activities associated with testing positive for SARS-CoV-2 infection in addition to close contact with a case. Understanding high-risk activities for SARS-CoV-2 infection among different communities is important for issuing awareness and prevention strategies.

Specimen self-collection for SARS-CoV-2 testing: Patient performance and preferences-Atlanta, Georgia, August-October 2020.

Self-collected specimens can expand access to SARS-CoV-2 testing. At a large inner-city hospital 1,082 participants self-collected saliva and anterior nasal swab (ANS) samples before healthcare workers collected nasopharyngeal swab (NPS) samples on the same day. To characterize patient preferences for self-collection, this investigation explored ability, comfort, and ease of ANS and saliva self-collection for SARS-CoV-2 testing along with associated patient characteristics, including medical history and symptoms of COVID-19. With nearly all participants successfully submitting a specimen, favorable ratings from most participants (at least >79% in ease and comfort), and equivocal preference between saliva and ANS, self-collection is a viable SARS-CoV-2 testing option.

Effects of Patient Characteristics on Diagnostic Performance of Self-Collected Samples for SARS-CoV-2 Testing.

We evaluated the performance of self-collected anterior nasal swab (ANS) and saliva samples compared with healthcare worker-collected nasopharyngeal swab specimens used to test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We used the same PCR diagnostic panel to test all self-collected and healthcare worker-collected samples from participants at a public hospital in Atlanta, Georgia, USA. Among 1,076 participants, 51.9% were men, 57.1% were >50 years of age, 81.2% were Black (non-Hispanic), and 74.9% reported >1 chronic medical condition. In total, 8.0% tested positive for SARS-CoV-2. Compared with nasopharyngeal swab samples, ANS samples had a sensitivity of 59% and saliva samples a sensitivity of 68%. Among participants tested 3-7 days after symptom onset, ANS samples had a sensitivity of 80% and saliva samples a sensitivity of 85%. Sensitivity varied by specimen type and patient characteristics. These findings can help physicians interpret PCR results for SARS-CoV-2.