Four Years And More Than 200,000 Deaths Later: Lessons Learned From The COVID-19 Pandemic In US Nursing Homes.

Nursing home residents and staff were disproportionately affected by the COVID-19 pandemic, drawing attention to long-standing challenges of poor infection control, understaffing, and substandard quality of care in many facilities. Evolving practices and policies during the pandemic often focused on these challenges, with little effect. Despite the emergence of best practices to mitigate transmission of the virus, even the highest-quality facilities experienced outbreaks, indicating a larger systemic problem, rather than a quality problem at the facility level. Here we present a narrative review and discussion of the evolution of policies and practices and their effectiveness, drawing on evidence from the United States that was published during 2020-23. The lessons learned from this experience point to the need for more fundamental and nuanced changes to avoid similar outcomes from a future pandemic: greater integration of long-term care into public health planning, and ultimately a shift in the physical structure of nursing homes. More incremental measures such as vaccination mandates, higher staffing, and balancing infection control with resident quality of life will avoid some adverse outcomes, but without more systemic change, nursing home residents and staff will remain at substantial risk for repetition of the poor outcomes from the COVID-19 pandemic.

Lessons learned: avoiding bias via multi-state analysis of patients' trajectories in real-time.

Objectives: Many studies have attempted to determine the disease severity and patterns of COVID-19. However, at the beginning of the pandemic, the complex patients' trajectories were only descriptively reported, and many analyses were worryingly prone to time-dependent-, selection-, and competing risk biases. Multi-state models avoid these biases by jointly analysing multiple clinical outcomes while taking into account their time dependency, including current cases, and modelling competing events. This paper uses a publicly available data set from the first wave in Israel as an example to demonstrate the benefits of analysing hospital data via multi-state methodology. Methods: We compared the outcome of the data analysis using multi-state models with the outcome obtained when various forms of bias are ignored. Furthermore, we used Cox regression to model the transitions among the states in a multi-state model. This allowed for the comparison of the covariates' influence on transition rates between the two states. Lastly, we calculated expected lengths of stay and state probabilities based on the multi-state model and visualised it using stacked probability plots. Results: Compared to standard methods, multi-state models avoid many biases in the analysis of real-time disease developments. The utility of multi-state models is further highlighted through the use of stacked probability plots, which visualise the results. In addition, by stratification of disease patterns by subgroups and visualisation of the distribution of possible outcomes, these models bring the data into an interpretable form. Conclusion: To accurately guide the provision of medical resources, this paper recommends the real-time collection of hospital data and its analysis using multi-state models, as this method eliminates many potential biases. By applying multi-state models to real-time data, the gained knowledge allows rapid detection of altered disease courses when new variants arise, which is essential when informing medical and political decision-makers as well as the general population.

Laboratory capacity expansion: lessons from establishing molecular testing in regional referral laboratories in Ethiopia.

Respiratory viruses contribute to high morbidity and mortality in Africa. In 2020, the Ohio State University's Global One Health Initiative, in collaboration with the Ethiopian Public Health Institute and the US Centers for Disease Control and Prevention, took action to strengthen Ethiopia's existing respiratory virus surveillance system through decentralization of laboratory testing and scale-up of national and regional capacity for detecting respiratory viruses. In August 2022, four regional laboratories were established, thereby raising the number of reference laboratories conducting respiratory virus surveillance to five. This article highlights lessons learned during implementation and outlines processes undertaken for laboratory scale-up and decentralization.

The global impact of COVID-19 on tuberculosis: A thematic scoping review, 2020-2023.

BACKGROUND: This thematic scoping review of publications sought to understand the global impact of COVID-19 on tuberculosis (TB), interpret the scope of resonating themes, and offer policy recommendations to stimulate TB recovery and future pandemic preparedness. DATA SOURCES: Publications were captured from three search engines, PubMed, EBSCO, and Google Scholar, and applicable websites written in English from January 1, 2020, to April 30, 2023. STUDY SELECTION: Our scoping review was limited to publications detailing the impact of COVID-19 on TB. Original research, reviews, letters, and editorials describing the deleterious and harmful--yet sometimes positive--impact of COVID-19 (sole exposure) on TB (sole outcome) were included. The objective was to methodically categorize the impacts into themes through a comprehensive review of selected studies to provide significant health policy guidance. DATA EXTRACTION: Two authors independently screened citations and full texts, while the third arbitrated when consensus was not met. All three performed data extraction. DATA SYNTHESIS/RESULTS: Of 1,755 screened publications, 176 (10%) covering 39 countries over 41 months met the inclusion criteria. By independently using a data extraction instrument, the three authors identified ten principal themes from each publication. These themes were later finalized through a consensus decision. The themes encompassed TB's care cascade, patient-centered care, psychosocial issues, and health services: 1) case-finding and notification (n = 45; 26%); 2) diagnosis and laboratory systems (n = 19; 10.7%) 3) prevention, treatment, and care (n = 22; 12.2%); 4) telemedicine/telehealth (n = 12; 6.8%); 5) social determinants of health (n = 14; 8%); 6) airborne infection prevention and control (n = 8; 4.6%); 7) health system strengthening (n = 22; 13%); 8) mental health (n = 13; 7.4%); 9) stigma (n = 11; 6.3%); and 10) health education (n = 10; 5.7%). LIMITATIONS: Heterogeneity of publications within themes. CONCLUSIONS: We identified ten globally generalizable themes of COVID-19's impact on TB. The impact and lessons learned from the themed analysis propelled us to draft public health policy recommendations to direct evidence-informed guidance that strengthens comprehensive global responses, recovery for TB, and future airborne pandemic preparedness.

The impact of environmental factors and contaminants on thyroid function and disease from fetal to adult life: current evidence and future directions.

The thyroid gland regulates most of the physiological processes. Environmental factors, including climate change, pollution, nutritional changes, and exposure to chemicals, have been recognized to impact thyroid function and health. Thyroid disorders and cancer have increased in the last decade, the latter increasing by 1.1% annually, suggesting that environmental contaminants must play a role. This narrative review explores current knowledge on the relationships among environmental factors and thyroid gland anatomy and function, reporting recent data, mechanisms, and gaps through which environmental factors act. Global warming changes thyroid function, and living in both iodine-poor areas and volcanic regions can represent a threat to thyroid function and can favor cancers because of low iodine intake and exposure to heavy metals and radon. Areas with high nitrate and nitrite concentrations in water and soil also negatively affect thyroid function. Air pollution, particularly particulate matter in outdoor air, can worsen thyroid function and can be carcinogenic. Environmental exposure to endocrine-disrupting chemicals can alter thyroid function in many ways, as some chemicals can mimic and/or disrupt thyroid hormone synthesis, release, and action on target tissues, such as bisphenols, phthalates, perchlorate, and per- and poly-fluoroalkyl substances. When discussing diet and nutrition, there is recent evidence of microbiome-associated changes, and an elevated consumption of animal fat would be associated with an increased production of thyroid autoantibodies. There is some evidence of negative effects of microplastics. Finally, infectious diseases can significantly affect thyroid function; recently, lessons have been learned from the SARS-CoV-2 pandemic. Understanding how environmental factors and contaminants influence thyroid function is crucial for developing preventive strategies and policies to guarantee appropriate development and healthy metabolism in the new generations and for preventing thyroid disease and cancer in adults and the elderly. However, there are many gaps in understanding that warrant further research.

Pandemic Action Plan: Phase 3-Lessons Learned from Implementation. "What Did We Learn?"

The COVID-19 pandemic created critical challenges for hospitals and health care providers. Suddenly clinics were forced to close; elective procedures were delayed; scheduled visits were canceled; emergency rooms were overcrowded; hospital beds, equipment, and personal protective equipment (PPE) were in short supply; and staff were faced with rapidly changing circumstances, care protocols, trauma, and personal risk. To better address challenges of the ongoing COVID-19 pandemic and prepare for future pandemics, the National Telemedicine Technology Assessment Resource Center (TTAC) was asked to develop a Pandemic Response Action Plan that would allow its users to address critical issues with available telemedicine and related technologies. The project was constructed in 3 phases. Phase 1-Develop a Pandemic Response Action Plan and a Pandemic Response Action Plan Policy and Regulatory Summary, which identifies the regulatory challenges as well as policy recommendations. Phase 2-Publish the Action Plan and the Policy and Regulatory Summary. Phase 3-Look at health care providers who used the approaches, tools, and technology in the Pandemic Action Plan and document the results. This document represents Phase 3. This document is Phase 3. In this report we look back at health care providers who used the approaches in the Phase 1 Pandemic Response Action Plan as published in Phase 2. In this document we report on the challenges and results of implementing parts of the Pandemic Action Plan. It records the findings, conclusions, and recommendations resulting from the experience of health care providers and the professional experiences of the team and their organizations in implementing parts or all of the plan. Methods: The same multidisciplinary team that constructed Phase 1 and Phase 2 were engaged to develop this Phase 3 report. The members of the team represent leadership expertise and key stakeholders in health care delivery during a pandemic (administration, infection control, physicians, nurses, public health, contingency planning, disaster response, and information technology) as well as a facilitator. For Phase 3, the group used structured brainstorming to define the findings, issues, and results of their own organizations' digital health response to the pandemic. In addition, eight health care providers (hospitals) identified by the Telemedicine Resource Centers' (TRCs) organizations, who used the Pandemic response Plan (created in Phases 1 and 2), were interviewed. All interviews were conducted by the same facilitator with leaders (CEO, and leaders of the telemedicine programs) in each of the eight programs, using a standard questionnaire created by the team. Current literature references are included in this report to illustrate when findings are known to have broader applicability. Conclusions: The impact of the COVID-19 Pandemic was severe and identified multiple critical challenges and weaknesses. Applying the approaches, tools, and technology outlined in the Pandemic Response Action Plan proved to be effective in addressing critical provider challenges. However, implementing these tools during a crisis was difficult unless the organization had experience with the tools and necessary workflows in advance. Implementing these tools as part of standard workflows and everyday operations increased the capabilities and resilience of these organizations in the provision of care during this and for future pandemics.

Childhood Maltreatment and Toxic Stress: What We Have Learned From the COVID-19 Pandemic Era.

Stress is a natural state that emerges due to the dynamics of an individual's life. Children must learn how to effectively manage stress as part of their growth and development. Resolution is possible when children are exposed to stress and receive adequate support from their families. However, when stress is intense, frequent, protracted, or traumatic, as in cases of childhood abuse, it can become toxic and interfere with the development of the child's brain and body. This results in vulnerability, which can have detrimental effects on the child's overall physical, mental, and emotional health. This perspective discusses the impact of childhood maltreatment and toxic stress, drawing on insights gained during the COVID-19 pandemic. We aimed to shed light on the lessons learned from this unique and challenging period and how they inform our understanding of the effects of stress on children's well-being.

Pituitary surgery and COVID.

An effect of the COVID-19 pandemic was the disruption of healthcare systems, especially surgical services provided to the community. Pituitary surgery was especially impacted, given the majority of cases were deemed non-urgent with very few exceptions, and the high risk of viral transmission conferred by the endoscopic endonasal transsphenoidal approach. Patients suffering from pituitary lesions with resultant endocrinopathy or visual symptoms saw their treatment delayed or altered, which had implications on their outcomes and care. This disruption extended to surgical training and the usual functioning of academic units, necessitating changes to curricula and implementation of novel methods of progressing surgical education. This review will explore the effect of the COVID pandemic on pituitary surgery, the experiences of various surgeons as well as the adaptations implemented on the frontlines. The lessons learned from the experience of the pandemic may assist specialists in gleaning insights regarding the care of patients in the future.

Rapid Development of a Registry to Accelerate COVID-19 Vaccine Clinical Trials.

Background: The unprecedented scientific response to the SARS-Cov-2 pandemic in 2020 required the rapid development and activation of extensive clinical trial networks to study vaccines and therapeutics. The COVID-19 Prevention Network (CoVPN) coordinated hundreds of sites conducting phase 2 and 3 clinical trials of vaccines and antibody therapeutics. To facilitate these clinical trials, the CoVPN Volunteer Screening Registry (VSR) was created to collect volunteer information at scale, identify volunteers at risk of COVID-19 who met enrollment criteria, distribute candidates across clinical trial sites, and enable monitoring of volunteering and enrollment progress. Methods: We developed a secure database to support three primary web-based interfaces: a national volunteer questionnaire intake form, a clinical trial site portal, and an Administrative Portal. The Site Portal supported filters based on volunteer attributes, visual analytics, enrollment status tracking, geographic search, and clinical risk prediction. The Administrative Portal supported oversight and development with pre-specified reports aggregated by geography, trial, and trial site; charts of volunteer rates over time; volunteer risk score calculation; and dynamic, user-defined reports. Findings: Over 650,000 volunteers joined the VSR, and 1094 users were trained to utilize the system. The VSR played a key role in recruitment for the Moderna, Oxford-AstraZeneca, Janssen, and Novavax vaccine clinical trials, provided support to the Pfizer and Sanofi vaccine and prophylactic antibody clinical trials, and enhanced the diversity of trial participants. Clinical trial sites selected 166,729 volunteer records for follow-up screening, and of these 47·7% represented groups prioritized for increased enrollment. Despite the unprecedented urgency of its development, the system maintained 99·99% uptime. Interpretation: The success of the VSR demonstrates that information tools can be rapidly yet safely developed through a public-private partnership and integrated into a distributed and accelerated clinical trial setting. We further summarize the requirements, design, and development of the system, and discuss lessons learned for future pandemic preparedness.

Canada's approach to SARS-CoV-2 sero-surveillance: Lessons learned for routine surveillance and future pandemics.

SETTING: In Canada's federated healthcare system, 13 provincial and territorial jurisdictions have independent responsibility to collect data to inform health policies. During the COVID-19 pandemic (2020-2023), national and regional sero-surveys mostly drew upon existing infrastructure to quickly test specimens and collect data but required cross-jurisdiction coordination and communication. INTERVENTION: There were 4 national and 7 regional general population SARS-CoV-2 sero-surveys. Survey methodologies varied by participant selection approaches, assay choices, and reporting structures. We analyzed Canadian pandemic sero-surveillance initiatives to identify key learnings to inform future pandemic planning. OUTCOMES: Over a million samples were tested for SARS-CoV-2 antibodies from 2020 to 2023 but siloed in 11 distinct datasets. Most national sero-surveys had insufficient sample size to estimate regional prevalence; differences in methodology hampered cross-regional comparisons of regional sero-surveys. Only four sero-surveys included questionnaires. Sero-surveys were not directly comparable due to different assays, sampling methodologies, and time-frames. Linkage to health records occurred in three provinces only. Dried blood spots permitted sample collection in remote populations and during stay-at-home orders. IMPLICATIONS: To provide timely, high-quality information for public health decision-making, routine sero-surveillance systems must be adaptable, flexible, and scalable. National capability planning should include consortiums for assay design and validation, defined mechanisms to improve test capacity, base documents for data linkage and material transfer across jurisdictions, and mechanisms for real-time communication of data. Lessons learned will inform incorporation of a robust sero-survey program into routine surveillance with strategic sampling and capacity to adapt and scale rapidly as a part of a comprehensive national pandemic response plan.

RéSUMé: CONTEXTE: Au Canada, où le système de santé est fédéré, les 13 juridictions provinciales et territoriales ont la responsabilité individuelle de recueillir les données qui leur permettent d'élaborer leurs politiques de santé. Lors de la pandémie de COVID-19 (2020­2023), pour réaliser les enquêtes de séroprévalence à l'échelle régionale et nationale, les autorités ont principalement utilisé l'infrastructure existante pour pouvoir analyser les échantillons et recueillir des données rapidement, mais cela a également nécessité de la communication et de la coordination entre les différentes juridictions. INTERVENTION: Au Canada, il y a eu quatre enquêtes nationales et sept enquêtes régionales sur la séroprévalence du SARS-CoV-2 dans la population générale. Les méthodologies utilisées différaient selon la méthode de sélection des participants, le choix des tests d'analyses et les structures de rapports. Nous avons analysé la façon dont ces enquêtes avaient été réalisées afin d'en dégager des éléments essentiels qui permettront de planifier pour les futures pandémies. RéSULTATS: Entre 2020 et 2023, plus d'un million d'échantillons, répartis en 11 ensembles de données distincts, ont été analysés afin de rechercher la présence d'anticorps au SARS-CoV-2. Dans la plupart des enquêtes nationales, la taille de l'échantillon était insuffisante pour pouvoir estimer la prévalence à l'échelle régionale. La disparité des méthodologies utilisées a entravé la comparaison des enquêtes régionales. Seules quatre enquêtes fournissaient les données recueillies à partir des questionnaires. Il a été impossible de comparer les enquêtes entre elles en raison de la diversité des tests d'analyse utilisés, des méthodes d'échantillonnage et de la durée des enquêtes. Seules trois provinces avaient couplé leurs données avec les archives médicales. Pour réaliser les enquêtes dans les populations éloignées et lors des périodes de confinement, la méthode d'analyse sur gouttes de sang séché a été utilisée. CONCLUSION: Afin de pouvoir fournir, en temps et en heure, des données de haute qualité pour la prise de décisions en matière de santé publique, un système de sérosurveillance continuelle doit être adaptable, modulable et évolutif. En cas de pandémie, un plan national doit prévoir des consortiums pour la conception et la validation des tests d'analyse, des moyens d'amélioration de la capacité de dépistage, des documents de base pour le couplage des données, un mode de transfert du matériel entre les différentes juridictions et des moyens pour une communication en temps réel des données. Les leçons tirées de cette analyse permettront de mettre en place un solide programme d'enquêtes de séroprévalence au sein des systèmes de sérosurveillance continuelle, et que ce programme sera accompagné d'une stratégie d'échantillonnage et d'un plan d'intervention national, rapide et complet en cas de pandémie.

Advances in virus-like particle-based SARS-CoV-2 vaccines.

The Coronavirus Disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has incurred devastating human and economic losses. Vaccination remains the most effective approach for controlling the COVID-19 pandemic. Nonetheless, the sustained evolution of SARS-CoV-2 variants has provoked concerns among the scientific community regarding the development of next-generation COVID-19 vaccines. Among these, given their safety, immunogenicity, and flexibility to display varied and native epitopes, virus-like particle (VLP)-based vaccines represent one of the most promising next-generation vaccines. In this review, we summarize the advantages and characteristics of VLP platforms, strategies for antigen display, and current clinical trial progress of SARS-CoV-2 vaccines based on VLP platforms. Importantly, the experience and lessons learned from the development of SARS-CoV-2 VLP vaccines provide insights into the development of strategies based on VLP vaccines to prevent future coronavirus pandemics and other epidemics.

Cross-sectional study: mindset towards Coronavirus in developing countries and lessons learned: the case of Sudan.

Introduction: People's mindset towards COVID-19 in developing countries has an impact on how they perceive and react to the preventative measures taken by the governments to contain the virus. Understanding the factors influencing the mindset and identifying lessons learned amidst COVID-19 are critical to inform any future intervention strategy. Methods: This was a cross-sectional, community-based study conducted to assess the mindset changes and lessons learned post-COVID-19 in developing countries, focusing on Sudan. The study adopted a sequential mixed approach (SMA), combining qualitative and quantitative methods. The study used a structured questionnaire with 300 respondents and in-depth interviews with two experts. To identify the factors influencing the mindset of the people towards COVID-19, the study employed logistic regression. The data was analyzed using SPSS software. Results: Of the total (N = 300) respondents, 59.0% are female, 59.3% are between the ages of 20 and 39, 79.7% have a university education, 25.3% have the Coronavirus, and 42.3% has their family or relative contracted the virus. Further, only 22.7% had taken the vaccine. Reasons for vaccine hesitancy include lack of trust (29.5%), fear of side effects (24.1%), and absence of the need to travel outside the country (25.5%). When the virus first appeared, 77.3% thought it posed a health risk, while 22.7% perceived it as a hoax or conspiracy. After 3 years, 73% still regarded it as a health threat, while 27% believed it was a hoax or conspiracy. The mindset was found to be influenced by age, history of the disease, the extent of trust in foreign media coverage, and the belief in the effectiveness of the vaccination. Conclusion: Assessing the mindset towards the virus and identifying the lessons learned from the pandemic could be of vital importance to control the spread of the virus in developing countries. Making use of such lessons and influencing the mindset of the people towards positive attitudes and behaviours are required to enhance the effectiveness of the health precaution measures adopted. Further research is required on the public's mistrust of foreign media coverage and the contribution of local media to educate the public about the virus, particularly among the elderly.

Assessing the prognostic utility of clinical and radiomic features for COVID-19 patients admitted to ICU: challenges and lessons learned.

Severe cases of COVID-19 often necessitate escalation to the Intensive Care Unit (ICU), where patients may face grave outcomes, including mortality. Chest X-rays play a crucial role in the diagnostic process for evaluating COVID-19 patients. Our collaborative efforts with Michigan Medicine in monitoring patient outcomes within the ICU have motivated us to investigate the potential advantages of incorporating clinical information and chest X-ray images for predicting patient outcomes. We propose an analytical workflow to address challenges such as the absence of standardized approaches for image pre-processing and data utilization. We then propose an ensemble learning approach designed to maximize the information derived from multiple prediction algorithms. This entails optimizing the weights within the ensemble and considering the common variability present in individual risk scores. Our simulations demonstrate the superior performance of this weighted ensemble averaging approach across various scenarios. We apply this refined ensemble methodology to analyze post-ICU COVID-19 mortality, an occurrence observed in 21% of COVID-19 patients admitted to the ICU at Michigan Medicine. Our findings reveal substantial performance improvement when incorporating imaging data compared to models trained solely on clinical risk factors. Furthermore, the addition of radiomic features yields even larger enhancements, particularly among older and more medically compromised patients. These results may carry implications for enhancing patient outcomes in similar clinical contexts.

Positive affect and self-care mediate the relationship between trait emotional intelligence and academic engagement in Lebanese undergraduates: Lessons learned from an online setting.

This study examined the impact of positive psychology variables, namely trait emotional intelligence (EI), positive affect and self-care, on academic engagement (AE) in an online learning environment during COVID-19. The study involved 717 undergraduates in Lebanon and utilised structural equation modelling for data analysis. The results demonstrated that positive affect and self-care mediated the relationship between trait EI and AE. In women, both self-care and positive affect were mediators, whereas in men, positive affect was the only mediator. For students who received a mix of synchronous and asynchronous lessons, both self-care and positive affect mediated the relationship between trait EI and AE. However, for those who received only synchronous lessons, positive affect was the sole mediator. Furthermore, AE significantly predicted academic performance (AP) in both models. These findings suggest the importance of interventions that enhance trait EI, positive emotions and self-care to improve AE and ultimately AP in online learning.

Administration of the American Board of Anesthesiology's virtual APPLIED Examination: successes, challenges, and lessons learned.

In response to the COVID-19 pandemic, the American Board of Anesthesiology transitioned from in-person to virtual administration of its APPLIED Examination, assessing more than 3000 candidates for certification purposes remotely in 2021. Four hundred examiners were involved in delivering and scoring Standardized Oral Examinations (SOEs) and Objective Structured Clinical Examinations (OSCEs). More than 80% of candidates started their exams on time and stayed connected throughout the exam without any problems. Only 74 (2.5%) SOE and 45 (1.5%) OSCE candidates required rescheduling due to technical difficulties. Of those who experienced "significant issues", concerns with OSCE technical stations (interpretation of monitors and interpretation of echocardiograms) were reported most frequently (6% of candidates). In contrast, 23% of examiners "sometimes" lost connectivity during their multiple exam sessions, on a continuum from minor inconvenience to inability to continue. 84% of SOE candidates and 89% of OSCE candidates described "smooth" interactions with examiners and standardized patients/standardized clinicians, respectively. However, only 71% of SOE candidates and 75% of OSCE candidates considered themselves to be able to demonstrate their knowledge and skills without obstacles. When compared with their in-person experiences, approximately 40% of SOE examiners considered virtual evaluation to be more difficult than in-person evaluation and believed the remote format negatively affected their development as an examiner. The virtual format was considered to be less secure by 56% and 40% of SOE and OSCE examiners, respectively. The retirement of exam materials used virtually due to concern for compromise had implications for subsequent exam development. The return to in-person exams in 2022 was prompted by multiple factors, especially concerns regarding standardization and security. The technology is not yet perfect, especially for testing in-person communication skills and displaying dynamic exam materials. Nevertheless, the American Board of Anesthesiology's experience demonstrated the feasibility of conducting large-scale, high-stakes oral and performance exams in a virtual format and highlighted the adaptability and dedication of candidates, examiners, and administering board staff.

Informing pandemic management in Germany with trustworthy, living evidence syntheses and guideline development: Lessons learned from the COVID-19 evidence ecosystem (CEOsys).

OBJECTIVE: We present the 'COVID-19 evidence ecosystem' (CEOsys) as a German network to inform pandemic management and to support clinical and public health decision-making. We discuss challenges faced when organizing the ecosystem and derive lessons learned for similar networks acting during pandemics or health-related crises. STUDY DESIGN AND SETTING: Bringing together 18 university hospitals and additional institutions, CEOsys key activities included research prioritization, conducting living systematic reviews, supporting evidence-based (living) guidelines, knowledge translation, detecting research gaps and deriving recommendations, backed by technical infrastructure and capacity building. RESULTS: CEOsys rapidly produced 31 high-quality evidence syntheses and supported three living guidelines on COVID-19-related topics, while also developing methodological procedures. Challenges included CEOsys' late initiation in relation to the pandemic outbreak, the delayed prioritization of research questions, the continuously evolving COVID-19-related evidence, and establishing a technical infrastructure. Methodological-clinical tandems, the cooperation with national guideline groups and international collaborations were key for efficiency. CONCLUSION: CEOsys provided a proof-of-concept for a functioning evidence ecosystem at the national level. Lessons learned include that similar networks should, among others, involve methodological and clinical key stakeholders early on, aim for (inter-)national collaborations, and systematically evaluate their value. We particularly call for a sustainable network.

Barriers, Solutions, and Opportunities for Adapting Critical Care Clinical Trials in the COVID-19 Pandemic.

Importance: The COVID-19 pandemic created unprecedented challenges for clinical trials worldwide, threatening premature closure and trial integrity. Every phase of research operations was affected, often requiring modifications to protocol design and implementation. Objectives: To identify the barriers, solutions, and opportunities associated with continuing critical care trials that were interrupted during the pandemic, and to generate suggestions for future trials. Design, Setting, and Participants: This mixed-methods study performed an explanatory sequential analysis involving a self-administered electronic survey and focus groups of principal investigators (PIs) and project coordinators (PCs) conducting adult and pediatric individual-patient randomized trials of the Canadian Critical Care Trials Group during the COVID-19 pandemic. Eligible trials were actively enrolling patients on March 11, 2020. Data were analyzed between September 2023 and January 2024. Main Outcomes and Measures: Importance ratings of barriers to trial conduct and completion, solutions employed, opportunities arising, and suggested strategies for future trials. Quantitative data examining barriers were analyzed using descriptive statistics. Data addressing solutions, opportunities, and suggestions were analyzed by qualitative content analysis. Integration involved triangulation of data sources and perspectives about 13 trials, synthesized by an interprofessional team incorporating reflexivity and member-checking. Results: A total of 13 trials run by 29 PIs and PCs (100% participation rate) were included. The highest-rated barriers (on a 5-point scale) to ongoing conduct during the pandemic were decisions to pause all clinical research (mean [SD] score, 4.7 [0.8]), focus on COVID-19 studies (mean [SD] score, 4.6 [0.8]), and restricted family presence in hospitals (mean [SD] score, 4.1 [0.8]). Suggestions to enable trial progress and completion included providing scientific leadership, implementing technology for communication and data management, facilitating the informed consent process, adapting the protocol as necessary, fostering site engagement, initiating new sites, streamlining ethics and contract review, and designing nested studies. The pandemic necessitated new funding opportunities to sustain trial enrollment. It increased public awareness of critical illness and the importance of randomized trial evidence. Conclusions and Relevance: While underscoring the vital role of research in society and drawing the scientific community together with a common purpose, the pandemic signaled the need for innovation to ensure the rigor and completion of ongoing trials. Lessons learned to optimize research procedures will help to ensure a vibrant clinical trials enterprise in the future.

Reflections on the challenges of conducting an international multicentre randomized controlled trial of balance training in addition to pulmonary rehabilitation and its impact on fall incidence in people with COPD.

BACKGROUND: Pulmonary rehabilitation (PR) is accepted as standard care for individuals with COPD. We conducted an international, multi-centred randomized controlled trial (RCT) to determine if adding balance training to PR would reduce the incidence of falls in people with COPD. While there have been many trials investigating the effectiveness of PR, few have involved international collaboration. Successful execution of rehabilitation trials requires a significant investment of time, staffing, and resources. With the recent completion of the Balance Training for Fall Reduction in COPD RCT, we report on the design, implementation, and execution of our trial using project management phases. We also highlight our lessons learned for consideration in future multi-centre rehabilitation trials. METHODS: This was a retrospective review of the planning, preparation, timelines, and personnel training involved in the execution of this study using four of the five project management phases described by Farrell et al. in 2010: (1) initiation, (2) planning, (3) execution, and (4) monitoring and controlling. We report descriptive statistics as percentages and counts and summarize our lessons learned. RESULTS: Ten outpatient PR programs in three continents participated. Thirty-one personnel worked on the trial across all sites. Enrolment began in January 2017 and was suspended in March 2020 due to the COVID-19 pandemic. Approximately 1275 patients were screened, 455 (36%) were eligible, 258 (57%) consented, 243 (53%) participated, and 130 (61%) completed the 12-month follow-up assessment. Lessons learned through our experience included (1) ensuring awareness of funder policies and considering the impact on collaborating sites; (2) preparing for the possibility of human resource and program disruptions; (3) anticipating site dropout and having a contingency plan in place; (4) planning and monitoring process measure data before, during, and after trial initiation; (5) ensuring frequent and consistent communication with and between collaborating sites; (6) maximizing features of database platform to ensure data set completeness and controlled data access; and (7) identifying strategies for increasing patient engagement in a high-demand study. CONCLUSIONS: We identify seven lessons learned through our experience conducting an international, multicentre rehabilitation-based RCT. These lessons can provide guidance to other trialists conducting studies with similar logistics and may assist with future trial planning and implementation.

Nimble adaptations to sexual and reproductive health service provision to adolescents and young people in the early phase of the COVID-19 pandemic.

Early in the COVID-19 pandemic, emerging evidence showed that the provision and use of a range of health services, including sexual and reproductive health (SRH) services, were affected. Otherwise, there was little evidence on whether and how they were adapted to maintain the access of different population groups, including adolescents. The study aims to provide an overview of adaptations to adolescent sexual and reproductive health (ASRH) services carried out during the early phases of the pandemic in low- and middle-income countries (LMICs). The Human Reproduction Program (HRP) at the World Health Organization (WHO) called upon WHO and United Nations Populations Fund (UNFPA) regional offices to reach out to organisations that provided ASRH services to submit analytic case studies using a short-form survey. The study team charted information from 36 case studies and performed a content analysis. Results show that the adaptations covered a wide array of SRH services that were provided to a diverse group of adolescents. Most adaptations focused on SRH education and access to contraception in comparison to other SRH services. Over half of the case studies included mental health services, most of which were not provided before the pandemic. The adaptations varied between being face-to-face, remote, digital, and non-digital. Most adaptations complemented a pre-existing service and were nimble, feasible, and acceptable to the targeted adolescents. Lessons learned from this study could be extrapolated into other humanitarian settings and rapid responses for future public health emergencies, provided that rigorous evaluation takes place.

Lessons learned from a multi-site collaborative working toward a digital health use screening tool.

Digital health has the potential to expand health care and improve outcomes for patients-particularly for those with challenges to accessing in-person care. The acceleration of digital health (and particularly telemedicine) prompted by the Coronavirus-19 (COVID-19) pandemic facilitated continuity of care in some settings but left many health systems ill-prepared to address digital uptake among patients from underserved backgrounds, who already experience health disparities. As use of digital health grows and the digital divide threatens to widen, healthcare systems must develop approaches to evaluate patients' needs for digital health inclusion, and consequentially equip patients with the resources needed to access the benefits of digital health. However, this is particularly challenging given the absence of any standardized, validated multilingual screening instrument to assess patients' readiness for digital healthcare that is feasible to administer in already under-resourced health systems. This perspective is structured as follows: (1) the need for digital health exclusion risk screening, (2) our convening as a group of stakeholders, (3) our review of the known digital health screening tools and our assessment, (4) formative work with patients regarding their perceptions on language and concepts in the digital health screening tools, and (5) conclusion with recommendations for digital health advocates generated by this collaborative of digital health researchers and operations leaders. There is a need to develop a brief, effective tool to screen for digital health use that can be widely implemented in diverse populations. We include lessons learned from our experiences in developing and testing risk of digital health exclusion screening questions in our respective health systems (e.g., patient perception of questions and response options). Because we recognize that health systems across the country may be facing similar challenges and questions, this perspective aims to inform ongoing efforts in developing health system digital exclusion screening tools and advocate for their role in advancing digital health equity.