Emergent time-spaces of working from home: Lessons from pandemic geographies

The COVID-19 pandemic and consequent health regulations compelled office-based knowledge workers to work from home (WFH) en masse. Government and employer directives to WFH disrupted common norms of commuting to city office spaces and reshaped the geographies of office-based knowledge work, with potentially lasting implications. Pandemic-induced cohabitation of work-space and home-space saw more workers navigating the performance of paid labour in the home to produce new relational geographies of home, work, and worker. This paper provides a window on the lived experiences of the sizeable cohort of office-based knowledge workers displaced from Sydney's CBD to undertake WFH in the Illawarra region during the pandemic. We explore the unfolding pandemic geographies of work and home by drawing together feminist economic geography and geographies of home literatures. Our analysis reveals the emergent and variegated time-spaces of WFH that emerged as the rhythms and routines of WFH shaped the home and vice versa. The analysis also reveals the differentiated agency of embodied workers to orchestrate emergent configurations of WFH, shaped by gender and by the socio-materialities of home shaped by size, tenure, and life-cycle stage. We conclude by drawing out important lines of analysis for further research as "hybrid work" evidently becomes entrenched post-COVID.

Contracting retail pharmacies as a source of essential medicines for public sector clients in low- and middle-income countries: a scoping review of key considerations, challenges, and opportunities.

BACKGROUND: Insurances in high-income countries (HIC) often contract with private community pharmacies to dispense medicines to outpatients. In contrast, dispensing of medicines in low- and middle-income countries (LMICs) often lacks such contractual arrangements. Furthermore, many LMICs lack sufficient investment in supply chains and financial and human resources to guarantee stock levels and services at public medicine-dispensing institutions. Countries striving to achieve universal health coverage (UHC) can, in principle, incorporate retail pharmacies into their supply chains to expand access to essential medicines (EMs). The objectives of this paper are (a) to identify and analyze key considerations, opportunities and challenges for public payers when contracting out the supply and dispensing of medicines to retail pharmacies and (b) to provide examples of strategies and policies to address these challenges. METHODS: A targeted literature strategy was used to conduct this scoping review. We created an analytical framework of key dimensions: (1) governance (including medicine and pharmacy regulation); (2) contracting (3) reimbursement; (4) medicine affordability (5) equitable access; and (6) quality of care (including 'patient-centered' pharmaceutical care). Using this framework, we selected a mix of three HIC and four LMIC case studies and analyzed the opportunities and challenges encountered when contracting retail pharmacies. RESULTS: From this analysis, we identified a set of opportunities and challenges that should be considered by public payers considering public-private contracting: (1) balancing business viability with medicine affordability; (2) incentivizing equitable access to medicines; (3) ensuring quality of care and delivery of services; (4) ensuring product quality; (5) task-sharing from primary care providers to pharmacies and (6) securing human resources and related capacity constraints to ensure sustainability of the contract. CONCLUSION: Public-private partnerships offer opportunities to improve access to EMs. Nonetheless, managing these agreements is complex and is influenced by a variety of factors. For effective contractual partnerships, a systems approach is needed in which business, industry and regulatory contexts are considered in tandem with the health system. Special attention should be devoted to rapidly changing health contexts and systems, such as changes in patient preferences and market developments brought about by the COVID-19 pandemic.

Neoadjuvant-Adjuvant or Adjuvant-Only Pembrolizumab in Advanced Melanoma.

BACKGROUND: Whether pembrolizumab given both before surgery (neoadjuvant therapy) and after surgery (adjuvant therapy), as compared with pembrolizumab given as adjuvant therapy alone, would increase event-free survival among patients with resectable stage III or IV melanoma is unknown. METHODS: In a phase 2 trial, we randomly assigned patients with clinically detectable, measurable stage IIIB to IVC melanoma that was amenable to surgical resection to three doses of neoadjuvant pembrolizumab, surgery, and 15 doses of adjuvant pembrolizumab (neoadjuvant-adjuvant group) or to surgery followed by pembrolizumab (200 mg intravenously every 3 weeks for a total of 18 doses) for approximately 1 year or until disease recurred or unacceptable toxic effects developed (adjuvant-only group). The primary end point was event-free survival in the intention-to-treat population. Events were defined as disease progression or toxic effects that precluded surgery; the inability to resect all gross disease; disease progression, surgical complications, or toxic effects of treatment that precluded the initiation of adjuvant therapy within 84 days after surgery; recurrence of melanoma after surgery; or death from any cause. Safety was also evaluated. RESULTS: At a median follow-up of 14.7 months, the neoadjuvant-adjuvant group (154 patients) had significantly longer event-free survival than the adjuvant-only group (159 patients) (P = 0.004 by the log-rank test). In a landmark analysis, event-free survival at 2 years was 72% (95% confidence interval [CI], 64 to 80) in the neoadjuvant-adjuvant group and 49% (95% CI, 41 to 59) in the adjuvant-only group. The percentage of patients with treatment-related adverse events of grades 3 or higher during therapy was 12% in the neoadjuvant-adjuvant group and 14% in the adjuvant-only group. CONCLUSIONS: Among patients with resectable stage III or IV melanoma, event-free survival was significantly longer among those who received pembrolizumab both before and after surgery than among those who received adjuvant pembrolizumab alone. No new toxic effects were identified. (Funded by the National Cancer Institute and Merck Sharp and Dohme; S1801 ClinicalTrials.gov number, NCT03698019.).

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

This paper describes an integrated, data-driven operational pipeline based on national agent-based models to support federal and state-level pandemic planning and response. The pipeline consists of (i) an automatic semantic-aware scheduling method that coordinates jobs across two separate high performance computing systems;(ii) a data pipeline to collect, integrate and organize national and county-level disaggregated data for initialization and post-simulation analysis;(iii) a digital twin of national social contact networks made up of 288 Million individuals and 12.6 Billion time-varying interactions covering the US states and DC;(iv) an extension of a parallel agent-based simulation model to study epidemic dynamics and associated interventions. This pipeline can run 400 replicates of national runs in less than 33 h, and reduces the need for human intervention, resulting in faster turnaround times and higher reliability and accuracy of the results. Scientifically, the work has led to significant advances in real-time epidemic sciences. © The Author(s) 2022.

LEAD BY EXAMPLE: Evaluation of an NCCN and ASCO guideline-based virtual weight loss and healthy lifestyle intervention on providers and staff members at a comprehensive cancer center

Background: Obesity is a leading cause of preventable death in the United States. The incidence of most obesity associated malignancies are increasing. Novel interventions to combat the obesity epidemic are greatly needed. Here we investigate the effect of a virtual clinical intervention on medical providers & other medical staff at a comprehensive cancer center. Methods: Physicians (MD), nurses (RN), & other medical staff (MS) were enrolled in an IRB approved, prospective single arm clinical trial. We assessed the effect of NCCN & ASCO guideline recommendations for weight loss & healthy lifestyle on overweight (OW) & obese (OB) providers & medical staff. Primary outcome: to assess change in body mass index (BMI) over a 3-month (mo.) intervention. Secondary outcomes: To assess changes in nutrition and exercise habits over time b) evaluate other lifestyle factors over time: stress, self-image, barriers to weight loss. Participants (Pts) filled out two 16 question (Q) pre & post survey (at 1, 90 days) relating to study outcomes. The virtual intervention consisted of giving information & advice over 3 months: A comprehensive handout e-mailed on day 1 + Motivational/info e-mails q 2 weeks/3 mo. Statistical analysis: students' paired T test used to compare changes in weight & survey responses day 0-90. P- value α = 0.05. Inclusions: age > 18 yo males & females, MD, RN, ARNP, & MS who are OW (BMI > 25Kg/m2) or OB (BMI > 30Kg/m2). Exclusions: non-OW/OB, Pts with uncontrolled cardiovascular, pulmonary, orthopedic, or cerebrovascular disease, pregnancy. Results: 106 participants enrolled;26 subjects completed study. Demographics: 6/26 = 23% (MD/ARNP), 12/26 = 46% (RN), 8/ 26 = 31% (MS). 4/26 = 15% male, 22/26 = 85% female, m age 45 (25-67). 3/26 = 12% Asian, 5/26 = 19% Black, 18/26 = 69% White. 100% not Hispanic. m BMI = 33.9 kg/m2 (25.1-44.5). Intervention: 26/26 (100%) Pts lost weight/3 mo., m D kg = -5.2kg (p < 0.0001), m D BMI = - 1.67 kg/m2 (p = 0.002). Survey results: Significant improvements were seen in: self-image (p = 0.0012), physical activity (p < 0.0001), healthy diet (p < 0.0001), days/week exercise (p = 0.0008), m D minutes exercise/ week = +65 min/week (p = 0.0046), decreased stress levels (p < 0.0001). Limitations: significant participant drop out seen. Conclusions: All participants who completed the study lost weight & improved healthy lifestyle parameters. To our knowledge this is the first all virtual clinical weight loss & lifestyle intervention executed. Also, this is the first weight loss & lifestyle intervention executed in providers. Our intervention was cost effective, easy to execute, & warrants further study in both medical staff & patient populations. Last, this novel virtual intervention is highly relevant during the covid 19 pandemic due to social distancing requirements.

Increasing access and uptake of SARS-CoV-2 at-home tests using a community-engaged approach.

Inequalities around COVID-19 testing and vaccination persist in the U.S. health system. We investigated whether a community-engaged approach could be used to distribute free, at-home, rapid SARS-CoV-2 tests to underserved populations. Between November 18-December 31, 2021, 400,000 tests were successfully distributed via 67 community partners and a mobile unit to a majority Hispanic/Latino/Spanish population in Merced County, California. Testing before gathering (59 %) was the most common testing reason. Asians versus Whites were more likely to test for COVID-19 if they had close contact with someone who may have been positive (odds ratio [OR] = 3.4, 95 % confidence interval [CI] = 1.7-6.7). Minors versus adults were more likely to test if they had close contact with someone who was confirmed positive (OR = 1.7, 95 % CI = 1.0-3.0), whereas Asian (OR = 4.1, 95 % CI = 1.2-13.7) and Hispanic/Latino/Spanish (OR = 2.5, 95 % CI = 1.0-6.6) versus White individuals were more likely to test if they had a positive household member. Asians versus Whites were more likely to receive a positive test result. Minors were less likely than adults to have been vaccinated (OR = 0.2, 95 % CI = 0.1-0.3). Among unvaccinated individuals, those who completed the survey in English versus Spanish indicated they were more likely to get vaccinated in the future (OR = 8.2, 95 % CI = 1.5-44.4). Asians versus Whites were less likely to prefer accessing oral COVID medications from a pharmacy/drug store only compared with a doctor's office or community setting (OR = 0.3, 95 % CI = 0.2-0.6). Study findings reinforce the need for replicable and scalable community-engaged strategies for reducing COVID-19 disparities by increasing SARS-CoV-2 test and vaccine access and uptake.

Contributions to Critical Care from Psychological Science and Practice

In this chapter we highlight findings and practices from Psychology that can be applied to mitigate the impact of critical illness and the ICU environment on patients, families and staff. The substantial accumulating evidence for detrimental health effects of traumatic stress is highly relevant for the care of patients on the ICU, who are potentially traumatized by the experience and who may bring a history of trauma with them. The fields of trauma psychology and rehabilitation psychology share foundational principles to guide patient-centered and systemic changes to ICU care, and these principles guided our selection and presentation of material. Our discussion of how to implement these principles within a healthcare system is informed by selected findings from social, organizational and behavioral psychology, which also are summarized. © Oxford University Press 2022. All rights reserved.

Standardizing, harmonizing, and protecting data collection to broaden the impact of COVID-19 research: the rapid acceleration of diagnostics-underserved populations (RADx-UP) initiative.

OBJECTIVE: The Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program is a consortium of community-engaged research projects with the goal of increasing access to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) tests in underserved populations. To accelerate clinical research, common data elements (CDEs) were selected and refined to standardize data collection and enhance cross-consortium analysis. MATERIALS AND METHODS: The RADx-UP consortium began with more than 700 CDEs from the National Institutes of Health (NIH) CDE Repository, Disaster Research Response (DR2) guidelines, and the PHENotypes and eXposures (PhenX) Toolkit. Following a review of initial CDEs, we made selections and further refinements through an iterative process that included live forums, consultations, and surveys completed by the first 69 RADx-UP projects. RESULTS: Following a multistep CDE development process, we decreased the number of CDEs, modified the question types, and changed the CDE wording. Most research projects were willing to collect and share demographic NIH Tier 1 CDEs, with the top exception reason being a lack of CDE applicability to the project. The NIH RADx-UP Tier 1 CDE with the lowest frequency of collection and sharing was sexual orientation. DISCUSSION: We engaged a wide range of projects and solicited bidirectional input to create CDEs. These RADx-UP CDEs could serve as the foundation for a patient-centered informatics architecture allowing the integration of disease-specific databases to support hypothesis-driven clinical research in underserved populations. CONCLUSION: A community-engaged approach using bidirectional feedback can lead to the better development and implementation of CDEs in underserved populations during public health emergencies.

Policy Space for Building Production Capabilities in the Pharmaceuticals Sector in Low- and Middle-Income Countries: Evidence from Bangladesh

Over the past four decades Bangladesh has built enough domestic productive capacity in the pharmaceuticals and related industries to generate manufacturing capacity and employment to provide access to medicines in the country and to become a modest exporter of medicines as well. This paper traces the role played by government policy in fostering Bangladesh’s burgeoning pharmaceuticals sector and then examines the extent to which such policies would have been permissible under World Trade Organization (WTO) rules and the rules of recent trade and investment treaties. Bangladesh has not had to adhere to such rules given its status as a Least Developed Country (LDC) but will face those rules as it may graduate from LDC status in the coming years. We find that a significant amount of Bangladesh’s policies would not have been permitted under the WTO, and even more policy space would be constrained under other regional and bilateral trade and investment treaties. These findings reveal that Bangladesh will face a series of challenges as it graduates from LDC status in its efforts to build its domestic pharmaceutical industry moving forward. Our findings also pinpoint challenges for current WTO and other trade and investment treaty members who now seek to build domestic productive capacity in this sector in the wake of the COVID-19 pandemic.

At-home testing to mitigate community transmission of SARS-CoV-2: protocol for a public health intervention with a nested prospective cohort study.

BACKGROUND: The COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve as a global health crisis. Although highly effective vaccines have been developed, non-pharmaceutical interventions remain critical to controlling disease transmission. One such intervention-rapid, at-home antigen self-testing-can ease the burden associated with facility-based testing programs and improve testing access in high-risk communities. However, its impact on SARS-CoV-2 community transmission has yet to be definitively evaluated, and the socio-behavioral aspects of testing in underserved populations remain unknown. METHODS: As part of the Rapid Acceleration of Diagnostics-Underserved Populations (RADx-UP) program funded by the National Institutes of Health, we are implementing a public health intervention titled "Say Yes! COVID Test" (SYCT) involving at-home self-testing using a SARS-CoV-2 rapid antigen assay in North Carolina (Greenville, Pitt County) and Tennessee (Chattanooga City, Hamilton County). The intervention is supported by a multifaceted communication and community engagement strategy to ensure widespread awareness and uptake, particularly in marginalized communities. Participants receive test kits either through online orders or via local community distribution partners. To assess the impact of this intervention on SARS-CoV-2 transmission, we will conduct a non-randomized, ecological study using community-level outcomes. Specifically, we will evaluate trends in SARS-CoV-2 cases and hospitalizations, SARS-CoV-2 viral load in wastewater, and population mobility in each community before, during, and after the SYCT intervention. Individuals who choose to participate in SYCT will also have the option to enroll in an embedded prospective cohort substudy gathering participant-level data to evaluate behavioral determinants of at-home self-testing and socio-behavioral mechanisms of SARS-CoV-2 community transmission. DISCUSSION: This is the first large-scale, public health intervention implementing rapid, at-home SARS-CoV-2 self-testing in the United States. The program consists of a novel combination of an at-home testing program, a broad communications and community engagement strategy, an ecological study to assess impact, and a research substudy of the behavioral aspects of testing. The findings from the SYCT project will provide insights into innovative methods to mitigate viral transmission, advance the science of public health communications and community engagement, and evaluate emerging, novel assessments of community transmission of disease.

Cancer Informatics for Cancer Centers: Scientific Drivers for Informatics, Data Science, and Care in Pediatric, Adolescent, and Young Adult Cancer.

Cancer Informatics for Cancer Centers (CI4CC) is a grassroots, nonprofit 501c3 organization intended to provide a focused national forum for engagement of senior cancer informatics leaders, primarily aimed at academic cancer centers anywhere in the world but with a special emphasis on the 70 National Cancer Institute-funded cancer centers. This consortium has regularly held topic-focused biannual face-to-face symposiums. These meetings are a place to review cancer informatics and data science priorities and initiatives, providing a forum for discussion of the strategic and pragmatic issues that we faced at our respective institutions and cancer centers. Here, we provide meeting highlights from the latest CI4CC Symposium, which was delayed from its original April 2020 schedule because of the COVID-19 pandemic and held virtually over three days (September 24, October 1, and October 8) in the fall of 2020. In addition to the content presented, we found that holding this event virtually once a week for 6 hours was a great way to keep the kind of deep engagement that a face-to-face meeting engenders. This is the second such publication of CI4CC Symposium highlights, the first covering the meeting that took place in Napa, California, from October 14-16, 2019. We conclude with some thoughts about using data science to learn from every child with cancer, focusing on emerging activities of the National Cancer Institute's Childhood Cancer Data Initiative.

Influenza Management During the COVID-19 Pandemic: A Review of Recent Innovations in Antiviral Therapy and Relevance to Primary Care Practice.

Seasonal influenza requires appropriate management to protect public health and resources. Decreasing the burden of influenza will depend primarily on increasing vaccination rates as well as prompt initiation of antiviral therapy within 48 hours of symptom onset, especially in the context of the current coronavirus disease 2019 pandemic. A careful approach is required to prevent health services from being overwhelmed by a surge in demand that could exceed capacity. This review highlights the societal burden of influenza and discusses the prevention, diagnosis, and treatment of influenza as a complicating addition to the challenges of the coronavirus disease 2019 pandemic. The importance of vaccination for seasonal influenza and the role of antiviral therapy in the treatment and prophylaxis of seasonal influenza, including the most up-to-date recommendations from the Centers for Disease Control and Prevention for influenza management, will also be reviewed.

Immune cell residency in the nasal mucosa may partially explain respiratory disease severity across the age range.

Previous studies focusing on the age disparity in COVID-19 severity have suggested that younger individuals mount a more robust innate immune response in the nasal mucosa after infection with SARS-CoV-2. However, it is unclear if this reflects increased immune activation or increased immune residence in the nasal mucosa. We hypothesized that immune residency in the nasal mucosa of healthy individuals may differ across the age range. We applied single-cell RNA-sequencing and measured the cellular composition and transcriptional profile of the nasal mucosa in 35 SARS-CoV-2 negative children and adults, ranging in age from 4 months to 65 years. We analyzed in total of ~ 30,000 immune and epithelial cells and found that age and immune cell proportion in the nasal mucosa are inversely correlated, with little evidence for structural changes in the transcriptional state of a given cell type across the age range. Orthogonal validation by epigenome sequencing indicate that it is especially cells of the innate immune system that underlie the age-association. Additionally, we characterize the predominate immune cell type in the nasal mucosa: a resident T cell like population with potent antiviral properties. These results demonstrate fundamental changes in the immune cell makeup of the uninfected nasal mucosa over the lifespan. The resource we generate here is an asset for future studies focusing on respiratory infection and immunization strategies.

Immune cell residency in the nasal mucosa and COVID-19 severity across the age range (preprint)

Severe coronavirus disease of 2019 (COVID-19) positively correlates with age (Centers for Disease Control), develops after progression of infection from the upper airway to the lower respiratory tract (LRT), and can worsen into acute respiratory distress syndrome (ARDS). Why children seem to be less likely to develop severe disease remains unclear. As the nasal mucosa (NM) is the first site of contact and defense for respiratory pathogens such as SARS-CoV-2 before dissemination to the LRT, we hypothesized that differences in this tissue across the age range may help explain the disparity in COVID-19 severity. To this end, we profiled NM samples across the lifespan in health and disease. We find that global transcriptomic changes including the expression of SARS-CoV-2 and coronavirus-associated receptors and factors are not correlated with age or the novel virus type, since pediatric NM cells mount similar antiviral response to both SARS-CoV-2 or Influenza B. Rather, we find immune cell residency in NM decreases dramatically with age especially cells of the innate immune system. This includes a resident-memory-like T cell subset with antiviral properties. These observations give plausible biological explanation to the observed clinical differences in disease spectrum and provide a foundation for future experimental studies.

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data are abundant, these are largely inaccessible to outside researchers. Statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level data from many centers. MATERIALS AND METHODS: The Clinical and Translational Science Award Program and scientific community created N3C to overcome technical, regulatory, policy, and governance barriers to sharing and harmonizing individual-level clinical data. We developed solutions to extract, aggregate, and harmonize data across organizations and data models, and created a secure data enclave to enable efficient, transparent, and reproducible collaborative analytics. RESULTS: Organized in inclusive workstreams, we created legal agreements and governance for organizations and researchers; data extraction scripts to identify and ingest positive, negative, and possible COVID-19 cases; a data quality assurance and harmonization pipeline to create a single harmonized dataset; population of the secure data enclave with data, machine learning, and statistical analytics tools; dissemination mechanisms; and a synthetic data pilot to democratize data access. CONCLUSIONS: The N3C has demonstrated that a multisite collaborative learning health network can overcome barriers to rapidly build a scalable infrastructure incorporating multiorganizational clinical data for COVID-19 analytics. We expect this effort to save lives by enabling rapid collaboration among clinicians, researchers, and data scientists to identify treatments and specialized care and thereby reduce the immediate and long-term impacts of COVID-19.

Varying presentations of COVID-19 in young heart transplant recipients: A case series.

BACKGROUND: Immunosuppression is considered a risk factor for more severe clinical presentation of COVID-19. Limited data regarding clinical outcome exist in adults, whereas very little is known about the spectrum of the disease in pediatric heart transplant recipients. METHODS: We retrospectively reviewed the charts of young heart transplant patients from our tertiary care center during the coronavirus pandemic in New York City and identified patients infected with SARS-CoV-2. RESULTS: We present four cases with COVID-19 disease and elaborate on their presentation and clinical course. CONCLUSIONS: Although far from conclusive and limited by the small sample size and selection bias, these cases demonstrate mild and self-limited disease despite immunosuppressive therapy and various comorbidities that are expected to increase the severity of the clinical picture based on extrapolation from the adult experience with this novel disease.