As the U.S. healthcare system transforms its care delivery model to increase healthcare accessibility and improve health outcomes, it is undergoing changes in the context of ever-increasing chronic disease burdens and healthcare costs. Many illnesses disproportionately affect certain populations, due to disparities in healthcare access and social determinants of health. These disparities represent a key area to target in order to better our nation’s overall health and decrease healthcare expenditures. It is thus imperative for policymakers and health professionals to develop innovative interventions that sustainably manage chronic diseases, promote preventative health, and improve outcomes among communities disenfranchised from traditional healthcare as well as among the general population.This article examines the available literature on Mobile Health Clinics (MHCs) and the role that they currently play in the U.S. healthcare system. Based on a search in the PubMed database and data from the online collaborative research network of mobile clinics MobileHealthMap.org, the authors evaluated 51 articles with evidence on the strengths and weaknesses of the mobile health sector in the United States. Current literature supports that MHCs are successful in reaching vulnerable populations, by delivering services directly at the curbside in communities of need and flexibly adapting their services based on the changing needs of the target community. As a link between clinical and community settings, MHCs address both medical and social determinants of health, tackling health issues on a community-wide level. Furthermore, evidence suggest that MHCs produce significant cost savings and represent a cost-effective care delivery model that improves health outcomes in underserved groups. Even though MHCs can fulfill many goals and mandates in alignment with our national priorities and have the potential to help combat some of the largest healthcare challenges of this era, there are limitations and challenges to this healthcare delivery model that must be addressed and overcome before they can be more broadly integrated into our healthcare system.

"Phylodynamic" analysis combines various statistical procedures that can be used to correlate the epidemiological and evolutionary behavior of viral pathogens with the immune system of the host. We utilized this approach to examine human immunodeficiency virus type 1 (HIV-1) gp120 envelope DNA sequences (V1, V2, and V3) isolated from different brain compartments of a T-cell-depleted patient diagnosed with severe HIVassociated dementia at the time of death. In agreement with previous reports, phylogenetic analysis showed distinct virodemes but also revealed a significant amount of viral gene flow among different brain compartments. Local-molecular-clock analysis showed that HIV-1 meninges and temporal lobe subpopulations evolve about 30 and 100 times faster, respectively, than the other viral populations in the brain. However, maximum likelihood codon-based substitution models did not detect any site under significant positive selective pressure, and the main cause of HIV-1 genetic variation appeared to be random genetic drift. Therefore, the higher evolutionary rate in the meninges and temporal lobe could be due to an enhanced infection/expansion rate of macrophages as a consequence of the immune system failure. In conclusion, in this case study, viral infection in the brain progressed with a nonspecific genetic evolution, recurrent migration events, and an expansion of macrophage-tropic sequences. The data suggest that after immune failure newly produced viral variants, which would be rapidly cleared under normal conditions, begin to productively infect macrophages in a "selfamplifying" cycle of infection/inflammatory response that could be at the origin of HIV-associated dementia.

The aim of this study was to identify gene expression profiles in peripheral blood mononuclear cells (PBMCs) from sporadic amyotrophic lateral sclerosis (sALS) patients to gain insights into the pathogenesis of ALS. We found that upregulation of LPS/TLR4-signaling associated genes was observed in the PMBCs from sALS patients after short-term cultivation, and that elevated levels of gene expression correlated with degree of peripheral blood monocyte activation and plasma LPS levels in sALS. Similar patterns of gene expression were reproduced in LPS stimulated PBMCs from healthy controls. These data suggest that chronic monocyte/macrophage activation may be through LPS/TLR4-signaling pathways in ALS.

Background: Overutilisation of the Accident and Emergency Department is an increasingly serious healthcare challenge. Online symptom checkers could help alleviate this challenge by allowing patients to self-triage before visiting the Accident and Emergency Department. Objectives: This study aimed to assess the triage accuracy of online symptom checkers, which would help determine the potential roles of symptom checkers in an Accident and Emergency Department setting. Methods: A total of 100 random Accident and Emergency Department records were sampled from the Queen Mary Hospital in Hong Kong. The inclusion criteria were patients over the age of 18 attending the Queen Mary Hospital Accident and Emergency Department in 2016. Symptom checkers by Drugs.com and FamilyDoctor were selected as representative tools. One triage recommendation was generated by each symptom checker for each case record. Each symptom checker’s triage accuracy was then evaluated using a few outcome measures: overall sensitivity, sensitivity for emergency cases and specificity for non-emergency cases, when compared with the triage categories assigned by the triage nurses. Results: The results showed that Drugs.com had a higher overall triage accuracy than FamilyDoctor (74% and 50%, respectively), but both checkers are inadequately sensitive to emergency cases (70% and 45%, respectively) with low negative predictive values (43% and 24%, respectively). Conclusion: In their current states, symptom checkers are not yet suitable as alternatives to Accident and Emergency Department triage protocols due to their low overall sensitivities and negative predictive values. However, symptom checkers might serve as useful Accident and Emergency Department adjuncts in other ways, such as to provide more information prior to a patient’s arrival to streamline the triage and preparation process at the Accident and Emergency Department.

IMPORTANCEThe psychological symptoms associated with having a family member admitted to the intensive care unit (ICU) during the COVID-19 pandemic are not well defined.OBJECTIVE To examine the prevalence of symptoms of stress-related disorders, primarily posttraumatic stress disorder (PTSD), in family members of patients admitted to the ICU with COVID-19 approximately 90 days after admission.DESIGN, SETTING, AND PARTICIPANTS This prospective, multisite, mixed-methods observational cohort study assessed 330 family members of patients admitted to the ICU (except in New York City, which had a random sample of 25% of all admitted patients per month) between February 1 and July 31, 2020, at 8 academic-affiliated and 4 community-based hospitals in 5 US states.EXPOSURE Having a family member in the ICU with COVID-19.MAIN OUTCOMES AND MEASURES Symptoms of PTSD at 3 months, as defined by a score of 10 or higher on the Impact of Events Scale 6 (IES-6). RESULTS A total of 330 participants (mean [SD] age, 51.2 [15.1] years; 228 [69.1%] women; 150 [52.8%] White; 92 [29.8%] Hispanic) were surveyed at the 3-month time point. Most individuals were the patients' child (129 [40.6%]) or spouse or partner (81 [25.5%]). The mean (SD) IES-6 score at 3 months was 11.9 (6.1), with 201 of 316 respondents (63.6%) having scores of 10 or higher, indicating significant symptoms of PTSD. Female participants had an adjusted mean IES-6 score of 2.6 points higher (95% CI, 1.4-3.8; P < .001) than male participants, whereas Hispanic participants scored a mean of 2.7 points higher compared with non-Hispanic participants (95% CI, 1.0-4.3; P = .002). Those with graduate school experience had an adjusted mean score of 3.3 points lower (95% CI, 1.5-5.1; P < .001) compared with those with up to a high school degree or equivalent. Qualitative analyses found no substantive differences in the emotional or communication-related experiences between those with high vs low PTSD scores, but those with higher scores exhibited more distrust of practitioners. CONCLUSIONS AND RELEVANCEIn this cohort study, symptoms of PTSD among family members of ICU patients with COVID-19 were high. Hispanic ethnicity and female gender were associated with higher symptoms. Those with higher scores reported more distrust of practitioners.