Impact of the COVID-19 pandemic on the treatment of acute cholangitis caused by choledocholithiasis: A single-center retrospective study in Japan.

Objectives: This study aimed to determine the impact of the coronavirus disease 2019 (COVID-19) pandemic on the treatment of acute cholangitis caused by choledocholithiasis. Methods: The Japanese government declared a state of emergency in April 2020 due to the COVID-19 pandemic. We retrospectively reviewed the medical records of 309 patients who underwent endoscopic retrograde cholangiopancreatography (ERCP) for acute cholangitis caused by choledocholithiasis between April 2017 and December 2022. Results: Patients were categorized into a pregroup (n = 134) and a postgroup (n = 175), depending on whether they were diagnosed before or after the state of emergency declaration. The total number of ERCP cases and the number of ERCP cases with endoscopic stone removals increased after the state of emergency declaration. Compared with the pregroup, the numbers of patients with performance status of 0-1 and surgically altered anatomy increased, whereas the numbers of patients taking oral antiplatelets or anticoagulants and those with cerebrovascular disease decreased in the postgroup. The number of single-stage endoscopic stone removals increased and hospital stays were significantly shorter in the postgroup. No differences in adverse event rates were detected between the two groups. Conclusions: Although our hospital provides tertiary care, the number of patients with cholangitis in good general condition and no underlying disease increased after the state of emergency declaration. The COVID-19 pandemic resulted in an increase in the number of single-stage endoscopic treatments and shortened hospital stays for patients with acute cholangitis caused by choledocholithiasis. No safety issues with ERCP were detected, even during the pandemic.

COVID-19 vaccination in low and middle-income countries: Creating a sustainable roadmap for promoting public health intervention.

The Coronavirus Disease 2019 (COVID-19) pandemic is a global public health threat ravaging the health systems. In low and middle-income countries (LMICs), COVID-19 and several other challenges concurrently worsen the health outcome indicators. Interestingly, vaccines have been identified as the most reliable and cost-effective public health intervention, and the governments in LMICs have instituted an array of plans to ensure every eligible person gets vaccinated. However, there is still considerable apathy around the use of the available COVID-19 vaccines in LMICs which is impeding the fight against the COVID-19 pandemic. In this paper, we explore the multiple interrelated factors behind low COVID-19 vaccination coverage in LMICs. It is therefore recommended that the governments in LMICs embrace multicomponent and wide-ranging strategies. This should involve utilising community-based approaches such as community pharmacy-led vaccination to promote community access to COVID-19 vaccines and to revive trust in national health authorities by offering population-specific, target-driven, transparent, and timely communication to the community who they serve about the safety and efficacy of the COVID-19 vaccine. Communication strategies should be tailored to reflect diverse political orientations as this can enhance vaccine acceptance. Additionally, local political parties and representative should be engaged in broad alliances to facilitate community mobilisation and support for vaccination campaigns. Also, relevant Nongovernmental Organisations and Community-based Organisations should institute programs at the grassroots that incorporate the gatekeepers to the community aimed at influencing population behaviour regarding COVID-19 vaccine hesitancy. Besides, the public health department in the ministry of health in LMICs should create more awareness, through social and mass media, particularly in the rural, semi-urban, and slum communities about the pivotal role of vaccination. Thus, we opined that these strategies will help LMICs achieve the COVID-19 vaccination target and further reposition the healthcare systems, and promote other public health interventions now and in the future.

Diabetic ketoacidosis in youth with diabetes mellitus during the COVID-19 pandemic.

OBJECTIVES: We sought to determine if the early months of the coronavirus disease 2019 (COVID-19) pandemic influenced pediatric diabetic ketoacidosis (DKA) hospitalization characteristics. METHODS: This is a cross-sectional study of youth with laboratory-confirmed DKA admitted to a large tertiary children's hospital in the USA. Data were collected from admissions in March through July 2019 and March through July 2020, respectively. We evaluated the clinical characteristics of hospitalization, including demographic data and DKA severity. We used univariable ordinal logistic regression followed by multiple ordinal logistic regression to adjust for potential confounders. RESULTS: We included 137 children with diabetes admitted for DKA in the relevant period in 2019 and 173 patients admitted for DKA in the same period in 2020. Hemoglobin A1C (HbA1c) upon admission was higher in 2020 (median=12.2 %) than in 2019 (11.5 %, p=0.018). Children who were admitted with DKA in 2020 were less likely to be autoantibody positive than those in 2019 (83 vs. 91 %, p=0.028). In the univariable model, being admitted in 2020 was significantly associated with more severe DKA (p=0.038), as was HbA1c (p=0.001). After adjusting for HbA1c upon admission, admission year was no longer significantly associated with more severe DKA. CONCLUSIONS: In this study of pediatric diabetes of any type and duration of diabetes, youth admitted for DKA at the start of the COVID-19 pandemic, compared with those admitted during the year before, were more likely to have autoantibody-negative diabetes and had significantly higher HbA1c. Additionally, higher HbA1c seemed to mediate more severe DKA during the pandemic.

Analysis of public policies to combat COVID-19 in the state of Paraná, Brazil.

Introduction: The COVID-19 pandemic had a great impact on several public sectors worldwide, requiring the implementation of public policies in an organized way to contain and control the disease. Thus, this study aimed to analyze public policies to face the COVID-19 pandemic in the State of Paraná, Brazil. Methods: This was a cross-sectional, retrospective, quantitative survey carried out with data from March 2020 to March 2022 in the twenty-two municipalities that host the local health regions. Data collection was documentary, carried out from the municipal Portal da Transparência website, which is dedicated to making public all expenditures, and epidemiological bulletins released by the Health Department of the state of Paraná. The variables analyzed were New Cases and Deaths, Mortality and Lethality Coefficient, Incidence Rate, Vaccination Coverage, Number of Hospital and ICU beds exclusive to COVID-19, Settled Expenses destined for COVID-19 and coping measures, namely, the Declaration of Public Health Emergency, Curfew, Mandatory use of masks, Businesses closure, Teleworking of risk groups, and Suspension of activities with crowds and of classes. After collection, data underwent descriptive analysis, and subsequently, the correlation of variables was analyzed using the Spearman test. Multiple linear regression was applied using the variable selection method called best subset selection (BSS). The dependent variables listed were incidence rate, new cases and new deaths. Results: The results showed that coping measures, as well as the application of resources for the pandemic, were implemented heterogeneously in the municipalities studied, and the progression of the disease, the distribution of beds and vaccination occurred unevenly and may be a reflection of the limited Brazilian national governance. An important correlation was observed between the incidence rate and new deaths with vaccination coverage. In addition, the regression model showed that measures such as mandatory use of masks, closure of shops, suspension of classes, and curfew showed important correlations with the variables incidence rate, cases, and new deaths. Discussion: The study highlighted the importance of carrying out a robust analysis of public policies to face emergencies of global importance so that government entities are prepared for future crises of great repercussions, such as the COVID-19 pandemic.

Understanding the Use of Mobility Data in Disasters: Exploratory Qualitative Study of COVID-19 User Feedback.

BACKGROUND: Human mobility data have been used as a potential novel data source to guide policies and response planning during the COVID-19 global pandemic. The COVID-19 Mobility Data Network (CMDN) facilitated the use of human mobility data around the world. Both researchers and policy makers assumed that mobility data would provide insights to help policy makers and response planners. However, evidence that human mobility data were operationally useful and provided added value for public health response planners remains largely unknown. OBJECTIVE: This exploratory study focuses on advancing the understanding of the use of human mobility data during the early phase of the COVID-19 pandemic. The study explored how researchers and practitioners around the world used these data in response planning and policy making, focusing on processing data and human factors enabling or hindering use of the data. METHODS: Our project was based on phenomenology and used an inductive approach to thematic analysis. Transcripts were open-coded to create the codebook that was then applied by 2 team members who blind-coded all transcripts. Consensus coding was used for coding discrepancies. RESULTS: Interviews were conducted with 45 individuals during the early period of the COVID-19 pandemic. Although some teams used mobility data for response planning, few were able to describe their uses in policy making, and there were no standardized ways that teams used mobility data. Mobility data played a larger role in providing situational awareness for government partners, helping to understand where people were moving in relation to the spread of COVID-19 variants and reactions to stay-at-home orders. Interviewees who felt they were more successful using mobility data often cited an individual who was able to answer general questions about mobility data; provide interactive feedback on results; and enable a 2-way communication exchange about data, meaning, value, and potential use. CONCLUSIONS: Human mobility data were used as a novel data source in the COVID-19 pandemic by a network of academic researchers and practitioners using privacy-preserving and anonymized mobility data. This study reflects the processes in analyzing and communicating human mobility data, as well as how these data were used in response planning and how the data were intended for use in policy making. The study reveals several valuable use cases. Ultimately, the role of a data translator was crucial in understanding the complexities of this novel data source. With this role, teams were able to adapt workflows, visualizations, and reports to align with end users and decision makers while communicating this information meaningfully to address the goals of responders and policy makers.

Rates and psychological stress predictors of problematic internet use (PIU) during the COVID-19 pandemic in a racially diverse sample of young adults.

BACKGROUND: Problematic internet use (PIU), which includes social media misuse (SMM) and gaming misuse (GM), is uncontrollable and associated with significant psychological impairment. PIU is a coping behavior for COVID-19-related stress. We explored distress-related predictors of PIU in a young adult racially diverse sample during the pandemic. METHODS: Analyses used cross-sectional survey data (N = 1956). Psychological diagnoses, financial distress, COVID-19-related emotions, psychological distress, distress tolerance, social support, loneliness, SMM and GM were measured. Hierarchical multiple regressions identified predictors of PIU. Race-stratified exploratory analyses sought to understand if predictors held true across racial groups. RESULTS: Low distress tolerance was associated with SMM and GM, as were depression symptoms, with racial differences observed. SMM was associated with younger age, and GM was associated with male gender. PTSD symptoms predicted more GM. SMM and GM rates varied between racial groups. COVID-19-related adjustment challenges and stress predicted SMM and GM respectively, with racial differences observed. CONCLUSION: Individual psychological distress and low distress tolerance markedly increased PIU risk. Clinicians should screen for stress-related PIU risk factors and bolster distress tolerance in vulnerable patients. Comparing PIU to different forms of coping in a larger sample would further clarify groups differences in stress coping behaviors.

The harms of promoting the lab leak hypothesis for SARS-CoV-2 origins without evidence.

Science is humanity's best insurance against threats from nature, but it is a fragile enterprise that must be nourished and protected. The preponderance of scientific evidence indicates a natural origin for SARS-CoV-2. Yet, the theory that SARS-CoV-2 was engineered in and escaped from a lab dominates media attention, even in the absence of strong evidence. We discuss how the resulting anti-science movement puts the research community, scientific research, and pandemic preparedness at risk.

Feline coronavirus influences the biogenesis and composition of extracellular vesicles derived from CRFK cells.

Introduction: Coronavirus (CoV) has become a public health crisis that causes numerous illnesses in humans and certain animals. Studies have identified the small, lipid-bound structures called extracellular vesicles (EVs) as the mechanism through which viruses can enter host cells, spread, and evade the host's immune defenses. EVs are able to package and carry numerous viral compounds, including proteins, genetic substances, lipids, and receptor proteins. We proposed that the coronavirus could alter EV production and content, as well as influence EV biogenesis and composition in host cells. Methods: In the current research, Crandell-Rees feline kidney (CRFK) cells were infected with feline coronavirus (FCoV) in an exosome-free media at a multiplicity of infection (MOI) of 2,500 infectious units (IFU) at 48 h and 72 h time points. Cell viability was analyzed and found to be significantly decreased by 9% (48 h) and 15% (72 h) due to FCoV infection. EVs were isolated by ultracentrifugation, and the surface morphology of isolated EVs was analyzed via Scanning Electron Microscope (SEM). Results: NanoSight particle tracking analysis (NTA) confirmed that the mean particle sizes of control EVs were 131.9 nm and 126.6 nm, while FCoV infected-derived EVs were 143.4 nm and 120.9 nm at 48 and 72 h, respectively. Total DNA, RNA, and protein levels were determined in isolated EVs at both incubation time points; however, total protein was significantly increased at 48 h. Expression of specific protein markers such as TMPRSS2, ACE2, Alix, TSG101, CDs (29, 47, 63), TLRs (3, 6, 7), TNF-α, and others were altered in infection-derived EVs when compared to control-derived EVs after FCoV infection. Discussion: Our findings suggested that FCoV infection could alter the EV production and composition in host cells, which affects the infection progression and disease evolution. One purpose of studying EVs in various animal coronaviruses that are in close contact with humans is to provide significant information about disease development, transmission, and adaptation. Hence, this study suggests that EVs could provide diagnostic and therapeutic applications in animal CoVs, and such understanding could provide information to prevent future coronavirus outbreaks.

Associations between meteorological factors and COVID-19: a global scoping review.

Background: Many respiratory viruses and their associated diseases are sensitive to meteorological factors. For SARS-CoV-2 and COVID-19, evidence on this sensitivity is inconsistent. Understanding the influence of meteorological factors on SARS-CoV-2 transmission and COVID-19 epidemiology can help to improve pandemic preparedness. Objectives: This review aimed to examine the recent evidence about the relation between meteorological factors and SARS-CoV-2/COVID-19. Methods: We conducted a global scoping review of peer-reviewed studies published from January 2020 up to January 2023 about the associations between temperature, solar radiation, precipitation, humidity, wind speed, and atmospheric pressure and SARS-CoV-2/COVID-19. Results: From 9,156 initial records, we included 474 relevant studies. Experimental studies on SARS-CoV-2 provided consistent evidence that higher temperatures and solar radiation negatively affect virus viability. Studies on COVID-19 (epidemiology) were mostly observational and provided less consistent evidence. Several studies considered interactions between meteorological factors or other variables such as demographics or air pollution. None of the publications included all determinants holistically. Discussion: The association between short-term meteorological factors and SARS-CoV-2/COVID-19 dynamics is complex. Interactions between environmental and social components need further consideration. A more integrated research approach can provide valuable insights to predict the dynamics of respiratory viruses with pandemic potential.

Development of a Video Consultation Patient-Satisfaction Questionnaire (vCare-PSQ): A Cross-Sectional Explorative Study.

BACKGROUND: Since the COVID-19 pandemic, the use of video consultation (VC) in primary care has expanded considerably in many countries. VC and other telehealth formats are often touted as a solution to improved health care access, with numerous studies showing high satisfaction with this care format among health professionals and patients. However, operationalization and measurement of patient satisfaction with VC varies across studies and often lacks consideration of dynamic contextual factors (eg, convenience, ease-of-use, or privacy) and doctor-patient relational variables that may influence patient satisfaction. OBJECTIVE: We aim to develop a comprehensive and evidence-based questionnaire for assessing patient satisfaction with VC in general practice. METHODS: The vCare Patient-Satisfaction Questionnaire (the vCare-PSQ) was developed according to the COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) guidelines. To achieve our overall objective, we pursued three aims: (1) a validation analysis of an existing patient-satisfaction scale (the PS-14), (2) an assessment of extrinsic contextual factors that may impact patient satisfaction, and (3) an assessment of pertinent intrinsic and relational satisfaction correlates (eg, health anxiety, information technology literacy, trust in the general practitioner, or convenience). For validation purposes, the questionnaire was filled out by a convenience sample of 188 Danish adults who had attended at least 1 VC. RESULTS: Our validation analysis of the PS-14 in a Danish population produced reliable results, indicating that the PS-14 is an appropriate measure of patient satisfaction with VC in Danish patient populations. Regressing situational and doctor-patient relational factors onto patient satisfaction further suggested that patient satisfaction is contingent on several factors not measured by the PS-14. These include information technology literacy and patient trust in the general practitioner, as well as several contextual pros and cons. CONCLUSIONS: Supplementing the PS-14 with dynamic measures of situational and doctor-patient relational factors may provide a more comprehensive understanding of patient satisfaction with VC. The vCare-PSQ may thus contribute to an enhanced methodological approach to assessing patient satisfaction with VC. We hope that the vCare-PSQ format may be useful for future research and implementation efforts regarding VC in a general practice setting.

Trends in the incidence of type 1 diabetes and type 2 diabetes in children and adolescents in North Rhine-Westphalia, Germany, from 2002 to 2022.

AIMS: The objective of this study was to assess overall and segmented trends in the incidence of type 1 diabetes mellitus (T1DMM) and type 2 diabetes mellitus (T2DMM) in children and adolescents younger than 20 years, from 2002-2022. METHODS: This study used registry data on physician-diagnosed T1DM or T2DM from primary and secondary sources, covering the German federal state of North Rhine-Westphalia with 18 million inhabitants. The ages at T1DM and T2DM onset ranged from 0-19 and 10-19 years, respectively. The main outcomes were direct age- and/or sex-standardized incidence rates per 100,000 person-years (PYs) and trends estimated as annual percentage changes (APCs), both with 95% confidence intervals. The segmented trends for subperiods were based on joinpoint regression models. RESULTS: From 2002-2022, 17,470 and 819 persons had incident T1DM and T2DM, respectively. The total number of PYs was 73,743,982 for T1DM and 39,210,453 for T2DM, with a mean coverage rate of 98% for T1DM and 90% for T2DM. The standardized T1DM incidence increased from 17.6 [16.3;18.9} in 2002 to 33.2 [31.3;35.1] in 2022, with an APC of 2.7% [2.3%;3.1%]. The standardized T2DM incidence increased from 1.3 [0.8;1.7] in 2002 to 2.8 [2.0;3.6] in 2022, with an APC of 6.4% [4.9%;8.0%]. There were four different segmented trends for T1DM and T2DM, with the incidence peaking in 2021 and subsequently declining. CONCLUSIONS: The incidence rates of T1DM and T2DM have increased over the past 20 years, with a wave-like pattern during the Covid-19 pandemic.

A Bayesian approach to reveal the role of psychological factors on turnover intention among nurses during the COVID-19 pandemic.

BACKGROUND: Turnover intention is considered a significant challenge for healthcare and treatment organizations. The challenging conditions of treating COVID-19 patients and the physical and mental stress imposed on nurses during the pandemic may lead them to leave their jobs. The present study aimed to determine the role of psychological factors (general health, mental workload, work-family conflicts, and resilience) on turnover intention using a Bayesian approach during the COVID-19 pandemic. METHODS: The present cross-sectional study was carried out during the winter of 2021 at three hospitals in Khuzestan Province, Iran. To collect data for this investigation, 300 nurses were chosen based on Cochran's formula and random sampling technique. Seven questionnaires, including General Health, Mental Workload, Work-Family Conflict, Resilience, Job Stress, Fear of COVID-19, and Turnover Intention Questionnaires. Bayesian Networks (BNs) were used to draw probabilistic and graphical models. A sensitivity analysis also was performed to study the effects of the variables. The GeNIe academic software, version 2.3, facilitated the examination of the Bayesian network. RESULTS: The statistically significant associations occurred between the variables of fear of COVID-19 and job stress (0.313), job stress and turnover intention (0.302), and resilience and job stress (0.298), respectively. Job stress had the highest association with the fear of COVID-19 (0.313), and resilience had the greatest association with the work-family conflict (0.296). Also, the association between turnover intention and job stress (0.302) was higher than the association between this variable and resilience (0.219). At the low resilience and high job stress with the probability of 100%, the turnover intention variable increased by 20%, while at high resilience and low job stress with the probability of 100%, turnover intention was found to decrease by 32%. CONCLUSION: In general, the results showed that four psychological factors affect job turnover intention. However, the greatest impact was related to job stress and resilience. These results can be used to manage job turnover intention in medical environments, especially in critical situations such as COVID-19.

Understanding the secondary outcomes of international travel measures during the covid-19 pandemic: a scoping review of social impact evidence.

BACKGROUND: Assessment of the effective use of international travel measures during the COVID-19 pandemic has focused on public health goals, namely limiting virus introduction and onward transmission. However, risk-based approaches includes the weighing of public health goals against potential social, economic and other secondary impacts. Advancing risk-based approaches thus requires fuller understanding of available evidence on such impacts. METHODS: We conducted a scoping review of existing studies of the social impacts of international travel measures during the COVID-19 pandemic. Applying a standardized typology of travel measures, and five categories of social impact, we searched 9 databases across multiple disciplines spanning public health and the social sciences. We identified 26 studies for inclusion and reviewed their scope, methods, type of travel measure, and social impacts analysed. RESULTS: The studies cover a diverse range of national settings with a strong focus on high-income countries. A broad range of populations are studied, hindered in their outbound or inbound travel. Most studies focus on 2020 when travel restrictions were widely introduced, but limited attention is given to the broader effects of their prolonged use. Studies primarily used qualitative or mixed methods, with adaptations to comply with public health measures. Most studies focused on travel restrictions, as one type of travel measure, often combined with domestic public health measures, making it difficult to determine their specific social impacts. All five categories of social impacts were observed although there was a strong emphasis on negative social impacts including family separation, decreased work opportunities, reduced quality of life, and inability to meet cultural needs. A small number of countries identified positive social impacts such as restored work-life balance and an increase in perceptions of safety and security. CONCLUSIONS: While international travel measures were among the most controversial interventions applied during the COVID-19 pandemic, given their prolonged use and widespread impacts on individuals and populations, there remains limited study of their secondary impacts. If risk-based approaches are to be advanced, involving informed choices between public health and other policy goals, there is a need to better understand such impacts, including their differential impacts across diverse populations and settings.

Daily external stress, internal stress, dyadic coping, and relationship functioning of Turkish couples during the COVID-19: A daily diary study.

Stressors arising from the current COVID-19 pandemic have pernicious effects on relational functioning. However, the systemic transactional model (STM) addresses the buffering role of dyadic coping in couples' relationships. Therefore, the current study aimed to examine the possible buffering role of dyadic coping and investigate the negative consequences of external stressors related to the COVID-19 pandemic and internal stressors on relationship satisfaction and intimacy on within- and between-person levels. Data were collected from 100 couples through daily diary questions over 14 consecutive days. The mean age for females was 32.45 years (SD = 8.11), and for males, it was 34.79 years (SD = 8.79). The findings showed several significant within-person moderation effects. Specifically, simple slope analysis revealed that the associations between internal stress and relationship satisfaction, and intimacy were positive for both partners who reported particularly more dyadic coping on a given day. Conversely, interaction effect of dyadic coping with external stress has not been found significant on within-person level. Between-person effects revealed that dyadic coping buffers the negative association between external stress and relational outcomes and the negative effect of internal stress. The current study expanded the literature of the STM of dyadic coping within the context of an acute external crisis. In line with STM predictions, couples may benefit from interventions focused on enhancing coping strategies to navigate major and minor stressors, especially during significant life challenges, thereby maintaining high relationship quality.

Undesirable effects of COVID-19 vaccination on Saudi population: A descriptive study, Winter 2022.

Objective: The development of coronavirus disease 2019 (COVID-19) vaccines was a crucial preventative measure toward controlling the pandemic. Several side effects have been reported. This study investigated the long-term side effects reported by the Saudi population. post-COVID-19 vaccination. Methods: The cross-sectional study involved Saudi participants of both genders, aged ≥16 years, and had received at least one dose of any of the available vaccines in Saudi Arabia. They were asked to fill out an online questionnaire divided into three sections: Demographics, medical history, and side effects that appeared post-COVID-19 vaccines. Results: The findings indicated that the undesirable effects were reported by 82% of the participants. These side effects involve three categories: The most common, additional or reported, and persistent side effects. The most common side effects were pain at the site of injection (88.16%), bone pain/joint pain (68.7%), and fatigue (68.46%). Menstrual disorders (n = 46), hair loss (n = 34), and memory problems (n = 19) were reported by participants as additional side effects. Among all side effects, fatigue, joint pain, hair loss, and menstrual disorders were the most persistent side effects. Moreover, 190 participants reported that they were diagnosed with diseases soon after receiving the COVID-19 vaccine including COVID-19, thyroid gland disorder, and irritable bowel disease. The quality of life of some of the participants was affected by post-COVID-19 vaccines, as 25.28% had anxiety, 21.22% had depression, and 33.16% had discomfort. Conclusion: These findings may contribute to understanding the effect of COVID-19 vaccines on the Saudi population's health and public opinion about these vaccines.

Impact of the COVID-19 Pandemic on Inpatient Pediatric Medical Student Education in Hawai'i.

The COVID-19 pandemic has had many effects on medical student education, ranging from safety measures limiting patient exposure to changes in patient diagnoses encountered by medical students in their clerkship experience. This study aimed to identify the impact of the pandemic on the inpatient experiences of third- and fourth-year medical students by assessing patient volumes and diagnoses seen by students. Frequency and types of notes written by medical students on hospital-based pediatric rotations at Kapi'olani Medical Center for Women and Children as well as patient diagnoses and ages were compared between 2 time periods: pre-pandemic (July 2018-February 2020) and pandemic (May 2020-September 2021). On average, the number of patients seen by medical students was significantly reduced in the pandemic period from 112 patients/month to 88 patients/month (P=.041). The proportion of patients with bronchiolitis or pneumonia were also significantly reduced in the pandemic period (P<.001). Bronchiolitis was diagnosed in 1.3% of patients seen by medical students during the pandemic period, compared with 5.9% of patients pre-pandemic. Pneumonia was diagnosed in 1.0% of patients seen by medical students in the pandemic period compared with 4.6% pre-pandemic. There was no significant difference in patient age between the 2 groups (P=.092). During the first 18 months of the COVID-19 pandemic, medical students in this institution had a remarkably different inpatient experience from that of their predecessors. They saw fewer patients, and those patients had fewer common pediatric respiratory diseases. These decreases suggest these students may require supplemental education to compensate for these gaps in direct pediatric clinical experience.

How COVID-19 Impacted Colonoscopy Utilization and Colorectal Cancer Detection in Hawai'i in 2020.

The Coronavirus Disease of 2019 (COVID-19) pandemic had a profound impact on colorectal cancer (CRC) screening and diagnostic testing. During the initial months of the pandemic, there was a sharp decline in colonoscopies performed as many areas were on lockdown and elective procedures could not be performed. In later months, even when routine procedures started being scheduled again, some patients became fearful of contracting COVID during colonoscopy or lost their health insurance, leading to further delays in CRC diagnosis by colonoscopy. Previous studies have reported the dramatic decrease in colonoscopy rates and CRC detection at various institutions across the country, but no previous study has been performed to determine rates of colorectal screening by colonoscopy in Hawai'i where the demographics of CRC differ. The team investigated the pandemic's impact on colonoscopy services and colorectal neoplasia detection at several large outpatient endoscopy centers in Hawai'i and also classified new CRC cases by patient demographics of age, sex, and ethnicity. There were fewer colonoscopies performed in these endoscopy centers in 2020 than in 2019 and a disproportionate decrease in CRC cases diagnosed. Elderly males as well as Native Hawaiians/Pacific Islanders were most impacted by this decrease in CRC detection. It is possible there will be an increase in later stage presentation of CRC and eventual CRC related mortality among these patients.

Effectiveness of Online Mindfulness Platform in Improving Anxiety, Depression, and Stress in Adults During the COVID-19 Pandemic: A Randomized Control Trial.

COVID-19 epidemic bring a great threat to human physical and mental health. This study aimed to investigate the effectiveness of an online mindfulness platform in improving mental status. Patients from a regional hospital were randomly divided into the experimental and control groups. The experimental group received online mindfulness interventions, and control group received general health education. There were no significant differences in the stress or depression scores between the two groups (P > 0.05). Intervention group had significantly lower anxiety scores than control group at fourth and eighth weeks (P<0.001). There was no significant difference in the emotion change over time in control group (P > 0.05). The anxiety in the intervention group was significantly improved at the 4th and 8th weeks (P<0.05). Moreover, the stress and depression in the intervention group were significantly improved at the 8th week (P<0.05). Online mindfulness intervention can effectively improve emotional status.

A Multi-Method Exploration of Older Adults' Technology Use During the Pandemic in Two Canadian Provinces.

The pandemic caused a rapid shift to reliance on technology to meet basic daily needs related to both health and social interaction. As social isolation is known to be a major contributing factor to physiologic decline and psychological morbidity amongst older adults, we sought to study this shift, and conducted a multi-method study including; (1) a cross-sectional telephone survey and in-depth interviews with community dwelling older adults; and (2) interviews with community organizations supporting technology use for older adults. Quantitative data were analysed using descriptive, inferential statistics; qualitative data were analyzed using thematic analysis. Over 800 older adults completed surveys; 41 completed interviews. 26 community organizations shared their perceptions of supporting the rapid shift to virtual technology. Our results emphasize that social pressure plays a core role in adoption of new technology skills. These results are critical to appraise as reliance on digital technologies continues and look to support older adults.

Beyond "business as usual": lessons from FIFA for fair benefit-sharing in global health.

While researchers and agencies from low- and middle-income countries often contribute significantly to public health surveillance data, which is crucial for effective pandemic prevention, preparedness, and response activities, they often do not receive adequate compensation for their contributions. Incentivizing data sharing is important for informing public health responses to pathogens with pandemic potential. However, existing data-sharing legal frameworks have limitations. In this context, we looked beyond "business as usual" candidates to explore the applicability of a benefit-sharing model developed and implemented by the Fédération Internationale de Football Association (International Federation of Association Football; FIFA) in international association football. This model rewards grassroots contributions and redistributes benefits, promoting a fair balance of interests across diverse economic contexts. We discuss adapting FIFA's mechanisms, including training compensation and solidarity payments, to create a novel benefit-sharing framework in global health. Given the complexity of global health, we note ways in which components of the FIFA model would need to be adapted for global health. Challenges such as integrating into existing legal frameworks, ensuring broad international buy-in, and accommodating different pandemic periods are examined. While adapting the FIFA model presents challenges, it offers a promising approach to achieving more equitable data sharing and benefit distribution in global health.