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PurposeThis research studies the influence of the COVID-19 pandemic on the operation management of Hong Kong academic libraries for understanding the difficulties and challenges for librarians to adapt to the special arrangements during the pandemic.Design/methodology/approachQualitative semi-structured interviews were conducted with librarians in major universities and higher education institutions of Hong Kong. Participants were interviewed either in the face-to-face format or text-based format.FindingsParticipants provided a broad scope about the actual library management and operation changes during the COVID-19. According to the respondents, the most challenging problem for librarians during COVID-19 was to strike a balance between concerns of library staff and users. While they described how these arrangements and changes affected the service quality of academic libraries from different perspectives, the pandemic situation also brought some opportunities, such as pushing the digitalization of all collections and using online resources for future development. A hybrid model for library service would be more common in the future with more demands toward online resources and digital collection, in which academic libraries should be prepared after the pandemic.Originality/valueThis paper provided broad insights into library management and the future development of academic libraries for the post-COVID-19 period. There are scant studies of this topic, especially in an Asian metropolis context with dense population, small campus and limited library physical spaces.
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PurposeDuring the coronavirus disease 2019 (COVID-19) pandemic, museums, as public gathering places for citizens, have encountered unprecedented difficulties due to limitations to operate as usual for their traditional exhibitions and curations. Thus, museums made corresponding emergency attempts to accelerate digital resource and service platform constructions. Such difficulties aroused many potential problems with the applicability of electronic resources and the mismatch between user expectations and museum services. This study investigates the challenges faced by Hong Kong museums under COVID-19, emergency responses and deliberate practices of Hong Kong museums from the perspective of both museum staff and visitors, and COVID-19's influence on the roles and functions of Hong Kong museums.Design/methodology/approachQualitative interviews with museum staff and visitors were conducted to collect opinions and experiences in the construction and maintenance of museums during the pandemic. Further thematic analyses of museum websites, evaluations, and suggestions were formulated guided by the PEST (Political, Economic, Social, Technological) and AIDA (Attention, Interest, Desire, Action) models.FindingsFindings revealed many online interactions and offline renovations, but the perceptions of visitors and staff differed considerably. While online resources and virtual museums were expanded and well received, long-term prohibitions and repressions drove physical visit desire. Participants emphasized finding a balance between user expectations and realistic practices.Originality/valueScant studies focus on the impact of COVID-19 on the cultural industry, especially in East Asia. This study also highlights new practices of digitalization and the challenges of functional transformation. The authors' findings and suggestions provide hints to optimize the curation of information resources and improve museum service quality in the new digital era. This study also serves as a reliable and meaningful record of COVID-19 impacts on Hong Kong museums.
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The world is witnessing an unpredictable COVID-19 pandemic that has impacted all levels of online education, shaping future trends. However, this shift was so sudden and drastic that unrevealed puzzles exist regarding the public's authentic opinion towards online classes, even though three years have passed. Many experts and policymakers have conducted qualitative and quantitative research to explore effective pedagogies, the satisfaction of different stakeholders, and factors influential on learners' performance. However, scant studies have examined personal opinions and concerns toward online classes hidden behind people's anonymous posts on social media. This research investigates the sentiments, concerns, and their variance with time regarding online classes by learners and educators on Reddit, which is a dominant social network among them. Data were collected via the official API from identified relevant subreddits and keyword search results across Reddit. Sentiment analysis was applied to reveal their emotions and their changes. Topic modeling was conducted to discover the concerns hidden in the posts. The results revealed the concerns about online classes, such as severe cheating behaviors, and showed doubts about previous strategies to solve disadvantages in online classes. In addition, the results verified the habitual difference and motivations of social media usage between educators and learners.
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Purpose>This study aims to examine the perception and preference of parents for their children using mobile devices to read. The pros and cons of electronic books and print books are examined from the parents' perspective.Design/methodology/approach>Semi-structured interviews were conducted with 11 parents in Hong Kong, who have children in primary and secondary schools. Their opinions were summarized into common themes to explore their choice of books for children in terms of format and content.Findings>The findings indicated that most parents and schools still prefer print books unless required by schools. However, the e-book has played an essential role under the current COVID-19 pandemic and digital literacy development.Originality/value>Scant studies focus on parents' views on their choice of book formats for children, especially for East Asian metropolises. The findings are useful for schools, teachers and publishers to explore publication and collection, as well as market development in digital reading resources.
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SESSION TITLE: Long COVID: It Can Take Your Breath Away SESSION TYPE: Original Investigations PRESENTED ON: 10/16/2022 10:30 am - 11:30 am PURPOSE: Survivors of COVID-19 hospitaliaztion may be at high risk for interstitial lung disease (ILD). The incidence and natural history of post-COVID ILD may vary in cancer and non-cancer patients, particularly if survival is lower in cancer patients. We sought to determine the incidence of ILD at 3 and 6 months after hospital discharge in cancer and non-cancer patients METHODS: We analyzed a prospective cohort of patients discharged after COVID-19 hospitalization between March 2020 and March 2021. Cancer patients were referred to post-COVID clinics 3 months after discharge, while non-cancer patients self-referred to post-COVID clinics at a tertiary referral center. We classified patients into 4 groups: Group 1, asymptomatic without ILD;Group 2, symptomatic without ILD;Group 3, ILD with spontaneous improvement by 6 months;Group 4, persistent ILD at 6 months. Group 1 patients were not seen after initial visits, while all others returned at 6 and 12 months after discharge. We hypothesized that initial COVID-19 severity, measured by the Radiologic Severity Index (RSI) on admission CT, would be associated with irreversible ILD. RSI measures radiologic severity by measuring percentage of involvement (normal - 0, <25% involvement-1, 25-50% involvement-2, 50-75% involvement-3, >75% involvement–4) and multiplying by a score based on the predominant pattern of infiltrate (normal-1, ground glass-2, consolidation-3) in six zones (left, right;upper, middle, lower) to yield a score between 0-72. We used logistic regression to measure whether admission CT RSI was associated with ILD at 3 months. RESULTS: 609 cancer patients were hospitalized with COVID-19 during the study period, of whom 85 (14%) died in-hospital, and 31 (5%) were sent home to hospice. A further 63 (10%) patients died before post-COVID evaluation. Similar data were not available for non-cancer patients due to self-referral. 98 cancer patients and 75 non-cancer patients were seen in post-COVID clinics. Among cancer patients, 20 were Group 1 (20%);8, Group 2 (8%);42, Group 3 (43%);24, Group 4 (25%);5 (5%) lacked post-COVID imaging. ILD was seen in 68% of patients at 3 months, but only in 25% at 6 months. 6% of all hospitalized cancer patients developed ILD. Among non-cancer patients: Group 1, 2 patients (3%);Group 2, 3 patients (4%);Group 3, 26 patients (35%);Group 4, 14 patients (19%);30 (40%) had no post-COVID imaging. Higher RSI at COVID admission associated with ILD at 3 months in non-cancer patients (OR 1.03, 95% CI 1.00-1.07, p=0.054) but not cancer patients (OR 1.3, 95% CI 0.4-4.5). CONCLUSIONS: Initial COVID-19 severity is associated with ILD 3 months after discharge in non-cancer patients but not cancer patients. CLINICAL IMPLICATIONS: ILD is common in survivors of COVID-19 hospitalization, particularly in non-cancer patients hospitalized for severe infection. These data may guide patient selection for referral to post-COVID clinics. DISCLOSURES: No relevant relationships by Roberto Adachi No relevant relationships by Diwakar Balachandran No relevant relationships by Lara Bashoura No relevant relationships by Christopher Bertini No relevant relationships by Kodwo Dickson Owner/Founder relationship with Pulmotect, Inc Please note: 2010-present by Scott Evans, value=Royalty No relevant relationships by Saadia Faiz no disclosure on file for Bruno Granwehr;no disclosure submitted for Shannon Holloway;No relevant relationships by Maryam Kaous no disclosure on file for Fareed Khawaja;No relevant relationships by Lyndon Lee No relevant relationships by Joanna Manzano No relevant relationships by Isabel Mira-Avendano No relevant relationships by Alyssa Mohammed No relevant relationships by Mayoora Muthu No relevant relationships by Sungryong Noh Research relationship with United Therapeutics;PhaseBio Please note: $5001 - $20000 by Bela Patel, value=Grant/Research No relevant relationships by Vickie Shannon onsultant relationship with Psioxus Therapeutics Please note: 3/1/20-7/1/20 by Ajay Sheshadri, value=Consulting fee Consultant relationship with Enanta Pharmaceuticals Please note: 01/01/21-ongoing by Ajay Sheshadri, value=Consulting fee No relevant relationships by Hui Song
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Background: The COVID-19 pandemic has presented various challenges for the healthcare system. This study aims to estimate the impact of the COVID-19 pandemic on Lung Cancer Screening (LCS), Lung Resections (LR), and Outpatient Visits (OPV). Methods: This is a longitudinal quasi-experimental time-series analysis using data from the institutional electronic medical records (EMR) from January 2018 to December 2021, considering the first and second waves of COVID-19 cases in Massachusetts;March, and November 2020, respectively. The main outcomes were (A) Monthly LCS exams, (B) Monthly LR surgeries, (C) Monthly Overall-cancer-OPV. Results: 9,057 LSC exams, 333 LR surgeries, and 5,918 outpatient visits were analyzed. The average patient age that underwent LCS was 64;48.9% were female and 91.4% White. LR was performed in patients 67 years old on average, 67.7% female and 93.6% White. The Overall-cancer-OPV was 58.1% for female patients, 89.4% for White patients, and the overall average patient age was 68 years. The monthly number of LCS (A) presented a statistically significant reduction in the first wave (p = 0.001) with a significant recovery in the following months with a monthly increase rate of 26 exams per month (p = 0.002). The second wave did not represent a sharp reduction in the LCS. Nevertheless, a significant monthly reduction of 44 exams was found. There was no statistical decline for the monthly LR surgeries (B). However, an increase in time from the first visit to the surgery was observed. The COVID-19 surges did not significantly impact the (C) Monthly Overall-cancer-OPV, and it was due to the implementation of telehealth services. The use of telehealth prevented a decline in OPV of 59% (p = 0.001) overall and 40% (p = 0.0190) for cancer. Telehealth visits accounted for 27.7% of cancer-related visits. Female patients were more likely to have a telehealth appointment. White, Black, and Asian patients presented with a similar percentage of telehealth use (26.3%, 25.0%, and 26.8%), while Latinos were less likely to have a telehealth appointment when compared with non-Latinos (18%, p < 0.02). Age was not significantly different between telehealth and non-telehealth appointments. However, for those who preferred a phone appointment, the average age was 67 years old, while for those who used video appointments, the age was 63 (p-value < 0.05). Conclusions: The COVID-19 pandemic affected significantly LCS while lung resections were stable over time;nonetheless, the time from the first visit to surgery increased. The use of telehealth technology allowed patients with cancer to safely receive care throughout the COVID-19 Pandemic. The adoption of telehealth can expand access to care in the pandemic context in low-resource areas. Still, future studies should assess the impact of the COVID-19 pandemic on staging at diagnosis, time to treatment initiation, and survival, especially for the underserved population.
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Introduction COVID-19 infection is associated with a higher incidence of medical complications including AKI. It is not well known if racial differences are associated with worse outcomes. Methods All patient data from March 2020 through February 2021 were aggregated and analyzed as part of the D3CODE protocol at MD Anderson. Cohort: (1) positive COVID-19 test (2) baseline eGFR >60 ml/min/ 1.73m2 within 30 days prior to COVID infection. AKI defined by increased creatinine ≥0.3 within 30 days after infection. Kaplan-Meier analysis was used for survival estimates. Multivariable Cox Proportional Hazard model regression analysis was used for hazard ratios. Results 635 patients with Covid-19 infection were identified. 124 (19.5%) developed AKI. AKI patients were more likely to have pneumonia (63.7% vs 37%, p<0.001), cardiac arrhythmias (39.5% vs 20.7%, p<0.001) myocardial infarction (15.3% vs 8.8%, p=0.046), require dialysis (2.4% vs 0.2%, p=0.025), mechanical ventilation (16.1% vs 1.8%, p<0.001), ICU admission (43.5% vs 11.5%, p<0.001) within 30 days, and had a higher mortality at 90 days of admission (20.2% vs 3.7%, p<0.001). Hispanic or Latino ethnicity (HR 56.6 CI 2.12-1510.57 p=0.016) vs White (HR 0.35 CI 0.02-6.02 p=0.47) was an independent risk factor associated with worse outcomes Conclusions Being Hispanic is associated with worse clinical outcomes in cancer patients with COVID-19 infection and AKI. Further studies are needed to address these disparities.
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Chuang and Kuan (2022) also examined the impact of collaboration patterns, research productivity patterns and publication patterns for management information systems (MIS) research in Taiwan. (2022) used a systematic literature review (SLR) to provide the viewpoint of privacy and security concerns mentioned in the current state-of-the-art mobile app recommendation domain. [...]we are currently preparing for a special issue on “Contemporary Learning behaviors on mobile devices and social media,” and interested readers and researchers, please consider submitting your manuscripts related to this special issue for peer review.
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During the COVID-19 pandemic, spreading fake news and misinformation in society can cause more problems than usual. It may lead people to make wrong decisions, causing further spreading of the disease to others. This may result in outbreaks and shut down of the economy. However, experts have already pointed out that political misinformation and health misinformation are entangled as some people would challenge those canon ideas on health information fueled by political agendas. Therefore, we review recent research on misinformation and fake news related to health and political areas to help understand this misinformation “infodemic.”
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(2021) used the Kano model to study the university students' health information service needs from the academic libraries in China, providing some suggestions for health information, especially in the post-COVID-19 age. 2. (2022) experimented with 36 students to examine the influence of prior attitude, perceived health threat level, and information limit on their selective exposure to and recall of COVID-19 vaccination information. [...]their perceived health threat level would also affect a person to recall of the information viewed. [...]they suggested vaccination campaigns should focus on reaching people with a negative attitude. (2021) selected the enumeration data of the early COVID-19 theme papers spread on social media networks as the research object and explored the law and characteristics of the spread of scientific papers on social media platforms.
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The demand for using library apps to search for information has been increasing after the COVID-19 outbreak. To look into how the pandemic affects the users’ perception of the loyalty of using library apps, we designed this research by amalgamating the updated IS success model and S–O-R model to evaluate the service quality of a public library app under the Hong Kong Government mobile applications initiative. A third-order model is established to demonstrate the multi-faceted aspects of service quality and mediating effects of perceived brand image, satisfaction, and e-word of mouth. Using structural equation modeling, data collected from Hong Kong, a metropolis where mobile services empower its citizens, showed the interrelationships among service quality and possible outcomes (i.e., perceived brand image, user satisfaction, e-word of mouth, and user loyalty). Findings also indicate that the influence of perceived service quality on user loyalty could only be achieved through perceived brand image and user satisfaction. This is a timely study during the COVID-19 pandemic, as the lockdown and social distancing arrangements created challenges for citizens to search for information in public libraries in person. Our findings and suggestions reiterate the importance of considering the usability concepts when analyzing the service quality of each unique app. They also provide insights for practitioners in developing the next generation of apps for smart public information services and call for further investigation into the proposed hierarchical model and other potential factors related to service quality.
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Background: Acute Kidney Injury (AKI) in patients with COVID-19 infection is associated with poor clinical outcomes. We examined outcomes (hemodialysis, mechanical ventilation, ICU admission and death) in cancer patients with normal estimated glomerular filtration rate (eGFR) treated in a tertiary referral center with COVID-19 infection, who developed AKI within 30 days of diagnosis. Methods: All patient data - demographics, labs, comorbidities and outcomes - were aggregated and analyzed in the Syntropy platform, Palantir Foundry ('Foundry'), as part of the Data-Driven Determinants of COVID-19 Oncology Discovery Effort (D3CODE) protocol at MD Anderson. The cohort was defined by the following: (1) positive COVID-19 test;(2) baseline eGFR >60 ml/min/1.73m2most temporally proximal lab results within 30 days prior to the patient's infection. AKI was defined by an absolute change of creatinine ≥0.3 within 30 days after the positive COVID-19 test. KaplanMeier analysis was used for survival estimates at specific time periods and multivariate Cox Proportional cause-specific Hazard model regression to determine hazard ratios with 95% confidence intervals for major outcomes. Results: 635 patients with Covid-19 infection had a baseline eGFR >60 ml/min/1.73m2. Of these patients, 124 (19.5%) developed AKI. Patients with AKI were older, mean age of 61+/- 13.2 vs 56.9 +/- 14.3 years (p=0.002) and more Hypertensive (69.4% vs 56.4%, p=0.011). AKI patients were more likely to have pneumonia (63.7% vs 37%, p<0.001), cardiac arrhythmias (39.5% vs 20.7%, p<0.001) and myocardial infarction (15.3% vs 8.8%, p=0.046). These patients had more hematologic malignancies (35.1% vs 19%, p=0.005), with no difference between non metastatic vs metastatic disease (p=0.284). There was no significant difference in other comorbidities including smoking, diabetes, hypothyroidism and liver disease. AKI patients were more likely to require dialysis (2.4% vs 0.2%, p=0.025), mechanical ventilation (16.1% vs 1.8%, p<0.001), ICU admission (43.5% vs 11.5%, p<0.001) within 30 days, and had a higher mortality at 90 days of admission (20.2% vs 3.7%, p<0.001). Multivariate Cox Proportional cause-specific Hazard model regression analysis identified history of Diabetes Mellitus (HR 10.8, CI 2.42 - 48.4, p=0.001) as an independent risk factor associated with worse outcomes. Mortality was higher in patients with COVID-19 infection that developed AKI compared with those who did not developed AKI (survival estimate 150 days vs 240 days, p=0.0076). Conclusions: In cancer patients treated at a tertiary cancer center with COVID-19 infection and no history of CKD, the presence of AKI is associated with worse outcomes including higher 90 day mortality, ICU stay and mechanical ventilation. Older age and hypertension are major risk factors, where being diabetic was associated with worse clinical outcomes.
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Background: Coronavirus disease 2019 (COVID19) has been associated with higher risk of acute kidney injury (AKI) and mortality rate in cancer patients. The prevalence of CKD in cancer patients is close to 20-30% however there has been limited data about cancer patients with CKD and COVID-19 infection. The aim of this study is to evaluate the clinical characteristics and outcomes of this patient population at a tertiary cancer center. Methods: All patient data - demographics, labs, comorbidities and outcomes - were aggregated and analyzed in the Syntropy platform, Palantir Foundry ('Foundry'), as part of the Data-Driven Determinants of COVID-19 Oncology Discovery Effort (D3CODE) protocol at MD Anderson. The cohort was defined by the following: (1) positive COVID-19 test;(2) baseline eGFR 15-59 ml/min/1.73m2 calculated by chronic kidney disease epidemiology collaboration equation. The baseline GFR and creatinine values used the most temporally proximal lab results within 30 days prior to the patient's infection. AKI was defined as an absolute change of creatinine ≥0.3 mg/dl above the baseline after the positive COVID-19 test. Results: Out of 790 patients with COVID19,19.6% had underlying CKD. Among these, 86.5% and 46.5% had history of hypertension and diabetes mellitus, respectively. 77.3% had a solid malignancy and 87.3% of them had metastatic disease. 67.7% were asymptomatic, 14.2% required ICU admission, 10.3% required invasive ventilation support, and 11.6% died within 90 days of the COVID-19 test. AKI developed within the first 30 days in 61.3% and 8.4% required renal replacement therapy. AKI was more prevalent in patients who were hospitalized (84.2% vs. 31.7%, p< 0.001), had concurrent pneumonia (63.3% vs. 36.8%, p< 0.002), required critical care (68.3% vs. 15.8% , p< 0.001), and were on ventilation support (16.8% vs. 0%, p=0.002). There was no significant statistical difference in rates of diabetes (52.6% vs. 36.7%, P of 0.076), tumor staging (metastasis;95.1% vs. non metastatic 82.6%, p< 0.2) , readmission rate (52.6% vs. 43.3%, p=0.336), and death rate at 30 days (9.5% vs. 3.3%, p=0.205) between the two groups. Conclusions: The overall mortality rate of cancer patients with CKD and positive COVID-19 test was relatively high and close to 1.7 times the rate of patients with no CKD at our tertiary cancer center. AKI is a common complication in CKD patients with concurrent pneumonia and requiring ventilation support, and was associated with increased morality at 90 days.