The influence of accounting information system adoption on business performance amid COVID-19.

The previous decade witnessed the dynamic progress that information systems (ISs) brought about in business performances. In this regard, an effective and efficient organization reflects heightened performance through the use of financial systems like the Accounting Information System (AIS) as the system automates the processes and improves efficiencies. In the current times, AIS has been the reason behind the optimum performance of businesses, with past studies evidencing its successful role dependent on critical success factors. Hence, the primary aim of this study is to evaluate AIS through the use of De Lone and Mc Lean's information sys-tem model (DM ISM) among Sudanese banks. The system focuses on critical factors including information quality, system quality, service quality, system usage and user satisfaction and their effects on the performance of banks in Sudan. Accordingly, this study made use of self-administered survey questionnaire to collect data from 103 AIS user, after which PLS-SEM was employed for data validation. The findings supported the significant effects of system and information quality on system usage but not services quality. Also, AIS use was found to significantly affect the performance of business. The study contributed to literature concerning IS in light of AIS benefits determinants, and it validated the proposed model among firms in Sudan. In effect, the study has both theoretical and practical significance, and it provided limitations, implications and future studies recommendations.

COVID-19 Mimics Pulmonary Dysfunction in Muscular Dystrophy as a Post-Acute Syndrome in Patients.

Although progressive wasting and weakness of respiratory muscles are the prominent hallmarks of Duchenne muscular dystrophy (DMD) and long-COVID (also referred as the post-acute sequelae of COVID-19 syndrome); however, the underlying mechanism(s) leading to respiratory failure in both conditions remain unclear. We put together the latest relevant literature to further understand the plausible mechanism(s) behind diaphragm malfunctioning in COVID-19 and DMD conditions. Previously, we have shown the role of matrix metalloproteinase-9 (MMP9) in skeletal muscle fibrosis via a substantial increase in the levels of tumor necrosis factor-α (TNF-α) employing a DMD mouse model that was crossed-bred with MMP9-knockout (MMP9-KO or MMP9-/-) strain. Interestingly, recent observations from clinical studies show a robust increase in neopterin (NPT) levels during COVID-19 which is often observed in patients having DMD. What seems to be common in both (DMD and COVID-19) is the involvement of neopterin (NPT). We know that NPT is generated by activated white blood cells (WBCs) especially the M1 macrophages in response to inducible nitric oxide synthase (iNOS), tetrahydrobiopterin (BH4), and tetrahydrofolate (FH4) pathways, i.e., folate one-carbon metabolism (FOCM) in conjunction with epigenetics underpinning as an immune surveillance protection. Studies from our laboratory, and others researching DMD and the genetically engineered humanized (hACE2) mice that were administered with the spike protein (SP) of SARS-CoV-2 revealed an increase in the levels of NPT, TNF-α, HDAC, IL-1ß, CD147, and MMP9 in the lung tissue of the animals that were subsequently accompanied by fibrosis of the diaphragm depicting a decreased oscillation phenotype. Therefore, it is of interest to understand how regulatory processes such as epigenetics involvement affect DNMT, HDAC, MTHFS, and iNOS that help generate NPT in the long-COVID patients.

Early Diagnosis of COVID-19 Images Using Optimal CNN Hyperparameters.

Coronavirus disease (COVID-19) is a worldwide epidemic that poses substantial health hazards. However, COVID-19 diagnostic test sensitivity is still restricted due to abnormalities in specimen processing. Meanwhile, optimizing the highly defined number of convolutional neural network (CNN) hyperparameters (hundreds to thousands) is a useful direction to improve its overall performance and overcome its cons. Hence, this paper proposes an optimization strategy for obtaining the optimal learning rate and momentum of a CNN's hyperparameters using the grid search method to improve the network performance. Therefore, three alternative CNN architectures (GoogleNet, VGG16, and ResNet) were used to optimize hyperparameters utilizing two different COVID-19 radiography data sets (Kaggle (X-ray) and China national center for bio-information (CT)). These architectures were tested with/without optimizing the hyperparameters. The results confirm effective disease classification using the CNN structures with optimized hyperparameters. Experimental findings indicate that the new technique outperformed the previous in terms of accuracy, sensitivity, specificity, recall, F-score, false positive and negative rates, and error rate. At epoch 25, the optimized Resnet obtained high classification accuracy, reaching 98.98% for X-ray images and 98.78% for CT images.

Assessing the Intention to Adopt Cloud Accounting during COVID-19

The information technology (IT) revolutionization aside with the emergence of COVID-19 have catalyzed cloud-computing services and systems with multiple end-user benefits for online business management, specifically in the accounting discipline. For example, cloud accounting enables the significant reduction of organisational IT investment with flexible access to a large group of scalable resources. The cloud accounting enables small and medium size enterprises (SMEs) to independently engage in fundamental bookkeeping responsibilities rather than hiring external auditors for the same services. As cloud-based accounting adoption remains in the preliminary stage within Jordanian businesses, this study applied the technology, organisation, and environment model to explore cloud accounting among Jordanian SMEs. The study data were gathered from 156 Jordanian SME owners or managers with a structured online survey questionnaire. The recommended study framework encompassed seven determinants that influenced the cloud accounting adoption intention. Resultantly, except Perceived knowledge uncertainty factor, the proposed hypotheses were supported as the aforementioned factors (relative advantages, security concerns, top management support, organizational readiness, competitor's intensity and suppliers computing support) positively and significantly influenced the cloud accounting of Jordanian SMEs. The study outcomes could facilitate IT field decision-makers and practitioners by investigating an actual cloud accounting case based on the essentiality of its application.

Influence of Digital Accounting System Usage on SMEs Performance: The Moderating Effect of COVID-19

In the literature, studies have evidenced the efforts adopted by firms to develop digital technology with the hope of achieving sustainable decisions and competitive performance. However, studies have yet to provide an extensive explanation of the mechanisms used by firms in their digital technology adoption to impact and enhance value, particularly among small and medium enterprises (SMEs). In this regard, accounting information has served as a fundamental basis for business decision-making and the extensive use of digital technology has paved the way for the efficiency and effectiveness of accounting functions in modifying information relating to such functions. More specifically, a digital accounting system (DAS) enables the reporting and processing of large transaction amounts and generates the data required for analysis. However, despite these advantages, SMEs have been slow in their adoption and usage of DASs. Accordingly, this study drew upon resource-based view theory and the technology-organization-environment framework to propose an integrated model for examining the determinants and impact of using DAS among SMEs. The proposed model encapsulates the use and performance aspect of DAS. The study utilized a self-administered survey questionnaire as the primary data collection instrument. Data from 183 SMEs in Jordan were analyzed using partial least squares-structural equation modeling. The findings reveal that compatibility, organizational readiness, top management support and government support all had significant effects on DAS usage, which, in turn, had a positive and significant effect on DAS performance. With regard to the moderating effects, COVID-19 was found to have a moderating role on the DAS usage-DAS performance relationship. The study findings explain the way firms can enhance their DAS use to obtain optimum performance, thereby contributing to the literature on the antecedents and effects of using current information technology/information systems. The study recommends that the government of Jordan prepare and carry out a campaign concerning the importance of DASs for SMEs.

A Retrospective Study on the Impact of COVID-19 on Emergency General Surgery.

Background The coronavirus pandemic has caused global disruption to all aspects of life. This disturbance has been most notable in the medical world. Political, societal, medical, and behavioral alterations have forced emergency surgical practices to adapt. This study investigated the impact of coronavirus 2019 (COVID-19) at a busy surgical center. Methodology This is a retrospective observational study. Three study periods were analyzed: pre-COVID, first wave, and second wave. Data were collected on referrals, diagnoses, investigations, management pathways, outcomes, patient behavior, and consultant practice. A one-way analysis of variance (ANOVA test) was used for the analysis of parametric data and the Mann-Whitney U test for non-parametric data. Results Declining numbers of patients presented across the three periods. There was a severe disruption in performing emergency general surgeries during the first wave, propagated by alterations in clinical decision-making, as well as fluctuations in societal and patient behavior. Despite the effects of the second wave being significantly more profound in terms of hospitalization and COVID-related mortality, a paradoxical, gradual return to the norm was noted, which was seen in referral pathways, imaging decisions, and management strategies. Conclusion Our data is suggestive of society, both within and outside the medical sphere, adjusting to life with COVID-19.

Impact of Early Tracheostomy on Weaning From Ventilation and Sedation in COVID-19 Pregnant and Early Postpartum Patient: Two Case Reports.

Pregnant women are at high risk of coronavirus disease 2019 (COVID-19) complications, including acute respiratory distress syndrome (ARDS) and the need for mechanical ventilation. There is no literature on the optimal strategy for the management of difficult-to-wean pregnant and early postpartum patients. We report two cases of pregnant women with COVID-19 pneumonia and ARDS, who required mechanical ventilation and high doses of analgesia, and sedation with neuromuscular blocking agents to facilitate ventilation and oxygenation. Both patients had a tracheostomy procedure to facilitate weaning from mechanical ventilation and sedation. Shortly after tracheostomy, sedation and analgesia, along with ventilatory support were weaned off. Both patients were discharged home. These cases propose early tracheostomy as a strategy to facilitate weaning from mechanical ventilation and sedation in pregnant and early postpartum patients.

Burnout among pharmacy professionals in Qatar: A cross-sectional study.

BACKGROUND: Pharmacists' roles and responsibilities have expanded in the modern pharmacy profession, and the expectations from pharmacists have increased. This has been associated with new psychological challenges and emotional stress that can induce burnout. OBJECTIVE: To determine the prevalence of burnout syndrome and factors associated with burnout among pharmacy professionals in the healthcare system in Qatar. METHODS: This institutional-based cross-sectional study was conducted on 850 pharmacy professionals within Hamad Medical Corporation (HMC) in Qatar. Convenience sampling was followed. The survey utilized the Maslach Burnout Inventory (MBI) Toolkit™ for Medical Personnel and a modified version of the Astudillo and Mendinueta questionnaire. Statistical analyses were performed using Stata version 16 for Windows and SAS Studio 3.8 (Enterprise Edition). P-value of less than 0.05 was considered significant. RESULTS: One hundred ninety-four pharmacy professionals (23%) responded to the survey. The prevalence of burnout was 19.7% [95% Confidence interval (CI); 13.8% - 26.8%] among 142 respondents who completed MBI questionnaire and 17.3% [95% CI; 11.7%-24.2%] among 139 respondents who completed Astudillo Mendinueta questionnaire. The most commonly reported factors that may lead to burnout were: tension and lack of organization in teamwork (59.6%), lack of recognition of or indifference to effort from patients, superiors, and colleagues (58.2%), and demanding and challenging patients and family members (56.7%). Multiple regression analysis showed that overtime working hours per month is independently associated with a higher risk of burnout [odds ratio (OR), 1.57; 95% CI, 1.15-2.14 for each 10-hours increase in monthly overtime, P = 0.005], while non-Arab ethnicity is associated with lower risk of burnout [OR, 0.27; 95% CI, 0.1-0.75; P = 0.012]. CONCLUSIONS: There is a relatively low prevalence of burnout syndrome among health-system pharmacy professionals in Qatar. Overtime working hours and Arab ethnicity are independently associated with burnout.

Anti-Xa Directed Thromboprophylaxis in Critically Ill Patients with Coronavirus Disease 2019.

Objective: To compare Anti-Xa directed thromboprophylaxis using low molecular weight heparin (LMWH) (anti-Xa peak goal 0.2-0.5 IU/mL) to alternative anticoagulation strategies in critically ill COVID-19 patients. Methods: This was a retrospective, multicenter, single health-system study. Primary outcomes were thromboembolic events and clinically important bleeding events. Secondary outcomes included dosing comparisons between LMWH cohorts. Main Results: A total of 695 patients were included. No differences were found in the incidence of thrombotic events with any of the dosing strategies. The incidence of major bleeding was significantly higher in the standard dose thromboprophylaxis, intermediate dose subcutaneous heparin (SQH), and therapeutic anticoagulation cohorts. Forty-nine percent of patients within the anti-Xa directed group had their first anti-Xa peak at goal, while 43% were above goal. Patients who had levels above goal had dose modifications made, therefore anti-Xa directed LMWH resulted in significantly lower total daily doses compared to intermediate dose LMWH. Conclusions: Anti-Xa directed LMWH dosing provided comparable thromboprophylaxis with lower total daily doses of LMWH in critically ill COVID-19 patients. Further randomized controlled trials are needed to confirm our findings.

Development of Lateral Flow Immunochromatographic Test for Rapid Detection of SARS-CoV-2 Virus Antigens in Clinical Specimens.

In the presented study, we developed a nanogold lateral glow immunoassay-based technique (LFI-COVID-19 antigen test) for the detection of SARS-CoV-2 nucleocapsid proteins; the developed LFI-COVID-19 Ag test has been tested for limit of detection (LOD), cross-reactivity and interfering substances, and performance. It was found that the performance of the developed LFI-COVID-19 antigen test when it was evaluated by RT-qPCR indicated 95, 98, and 97% for sensitivity, specificity and accuracy, respectively. This complies with the WHO guidelines. It was concluded that the developed LFI-COVID-19 antigen test is a point of care and an alternative approach to current laboratory methods, especially RT-qPCR. It provides an easy, rapid (within 20 min), and on-site diagnostic tool for COVID-19 infection, and it is a cheap test if it is manufactured on a large scale for commercial use.

Critical care tele-pharmacy services during COVID-19 pandemic: A qualitative exploration of healthcare practitioners' perceptions.

WHAT IS KNOWN AND OBJECTIVE: The scope of clinical pharmacy services has changed during COVID-19 pandemic with the view to mitigating both exposure and spread of the virus. The performance of novel pandemic-driven services such as tele-pharmacy has remained unexplored, until now. The aim of this study is to investigate the perceptions of healthcare providers of the impact of tele-pharmacy services provided in critical care units during COVID-19. METHODS: A qualitative study of semi-structured interviews conducted with healthcare practitioners who worked in COVID-19 intensive care units and remotely interacted with clinical pharmacists at the Weill Cornell-affiliated Hamad Medical Corporation, Doha, Qatar. Random sampling technique was employed to recruit participants, with the resultant interview guide piloted before commencement of data collection process. RESULTS AND DISCUSSION: From a total 129 and 200 physicians and nurses, respectively, 20 interviews were conducted with physicians (n = 15), and nurses (n = 5). From these interactions, a number of major themes emerged including: satisfactory understanding across clinical environment and personnel (physician and nurses) about remote clinical pharmacists' roles; additional robust feedback on the perception of the remote clinical pharmacy service; an understanding by 'frontline' health personnel on the discernible differences between remote and in-person coverage of clinical pharmacists; a reflection by both physicians and nurses on the novel challenges involved in the implementation of such pandemic-driven service; and solutions to overcome these challenges. WHAT IS NEW AND CONCLUSION: In this novel qualitative study of pandemic-driven tele-pharmacy service, we found a positive perception amongst healthcare practitioners towards this service; with residual challenges that will need further evaluation by large sampled sized surveys or mixed methods research.

Clinical outcomes of intravenous immunoglobulin therapy in COVID-19 related acute respiratory distress syndrome: a retrospective cohort study.

BACKGROUND: Intravenous immunoglobulin (IVIG) has been used as an immunomodulatory therapy to counteract severe systemic inflammation in coronavirus disease 2019 (COVID-19). But its use in COVID-19 related acute respiratory distress syndrome (ARDS) is not well established. METHODS: We conducted a retrospective analysis of electronic health records of COVID-19 patients admitted to intensive care units (ICUs) at Hazm Mebaireek General Hospital, Qatar, between March 7, 2020 and September 9, 2020. Patients receiving invasive mechanical ventilation for moderate-to-severe ARDS were divided into two groups based on whether they received IVIG therapy or not. The primary outcome was all-cause ICU mortality. Secondary outcomes studied were ventilator-free days and ICU-free days at day-28, and incidence of acute kidney injury (AKI). Propensity score matching was used to adjust for confounders, and the primary outcome was compared using competing-risks survival analysis. RESULTS: Among 590 patients included in the study, 400 received routine care, and 190 received IVIG therapy in addition to routine care. One hundred eighteen pairs were created after propensity score matching with no statistically significant differences between the groups. Overall ICU mortality in the study population was 27.1%, and in the matched cohort, it was 25.8%. Mortality was higher among IVIG-treated patients (36.4% vs. 15.3%; sHR 3.5; 95% CI 1.98-6.19; P < 0.001). Ventilator-free days and ICU-free days at day-28 were lower (P < 0.001 for both), and incidence of AKI was significantly higher (85.6% vs. 67.8%; P = 0.001) in the IVIG group. CONCLUSION: IVIG therapy in mechanically ventilated patients with COVID-19 related moderate-to-severe ARDS was associated with higher ICU mortality. A randomized clinical trial is needed to confirm this observation further.

Safety and immunogenicity evaluation of inactivated whole-virus-SARS-COV-2 as emerging vaccine development in Egypt.

BACKGROUND: Current worldwide pandemic coronavirus disease 2019 (COVID-19) with high numbers of mortality rates and huge economic problems require an urgent demand for safe and effective vaccine development. Inactivated SARS-CoV2 vaccine with alum. Hydroxide can play an important role in reducing the impacts of the COVID-19 pandemic. In this study, vaccine efficacy was evaluated through the detection of the neutralizing antibodies that protect mice from challenge with SARS-CoV 2 3 weeks after the second dose. We conclude that the vaccine described here has safety and desirable properties, and our data support further development and plans for clinical trials. METHODS: Characterized SARS-COV-2 strain, severe acute respiratory syndrome coronavirus 2 isolates (SARS-CoV-2/human/EGY/Egy-SERVAC/2020) with accession numbers; MT981440; MT981439; MT981441; MT974071; MT974069; and MW250352 at GenBank were isolated from Egyptian patients SARS-CoV-2-positive. Development of inactivated vaccine was carried out in a BSL-3 facilities and the immunogenicity was determined in mice at two doses (55 and 100 µg per dose). RESULTS: The distinct cytopathic effect induced by SARS-COV-2 propagation on Vero cell monolayers and the viral particles were identified as Coronaviridae by transmission electron microscopy and RT-PCR on infected cells cultures. Immunogenicity of the developed vaccine indicated the high antigen-binding and neutralizing antibody titers, regardless of the dose concentration, with excellent safety profiles and no deaths or clinical symptoms in mice groups. The efficacy of the inactivated vaccine formulation was tested by the wild virus challenge of the vaccinated mice and viral replication detection in lung tissues. CONCLUSIONS: Vaccinated mice recorded complete protection from challenge infection via inhibition of SARS-COV-2 replication in the lung tissues of mice following virus challenge, regardless of the level of serum neutralizing antibodies. This finding will support future trials for the evaluation of an applicable SARS-CoV-2 vaccine candidate.

Investigating the impact of human resource management practices on employee engagement, and the moderating role of strategy implementation in Egypt

Orientation: The concept of employee engagement has attracted the attention of both academics and practitioners due to its importance in enhancing the performance and profitability of organisations. Research Purpose: This article examines the impact of human resource management (HRM) practices on employee engagement in the Egyptian context. The purpose of this article was to develop an in-depth understanding of the concepts of HRM practices and their impact on employee engagement, and the moderating role of strategy implementation. Motivation for the study: Given the scarcity of research that examines the impact of HRM practices on employee engagement especially in the banking sector, this article examines how different HRM practices can influence the level of employee engagement. Research approach/design and method: For the purpose of answering the research questions and testing the proposed hypotheses, a quantitative research approach was adopted by distributing a questionnaire to 228 employees from the banking sector in Egypt. Main findings: The findings indicated that HRM practices had a positive significant impact on employee engagement. In particular, these practices included selection and hiring, job design as well as reward and payment systems. However, the findings showed that the strategic implementation does not moderate the relationship between HRM practices and employee engagement. Practical/managerial implications: This article provides some guidelines for organisations to follow to fully utilise the power of employee engagement by applying effective HRM practices. Contribution/value-add: The contribution of this study is that it is one of the few studies that have so far investigated this relationship in the Egyptian environment.

Physiologic Improvement in Respiratory Acidosis Using Extracorporeal Co2 Removal With Hemolung Respiratory Assist System in the Management of Severe Respiratory Failure From Coronavirus Disease 2019.

OBJECTIVES: About 15% of hospitalized coronavirus disease 2019 patients require ICU admission, and most (80%) of these require invasive mechanical ventilation. Lung-protective ventilation in coronavirus disease 2019 acute respiratory failure may result in severe respiratory acidosis without significant hypoxemia. Low-flow extracorporeal Co2 removal can facilitate lung-protective ventilation and avoid the adverse effects of severe respiratory acidosis. The objective was to evaluate the efficacy of extracorporeal Co2 removal using the Hemolung Respiratory Assist System in correcting severe respiratory acidosis in mechanically ventilated coronavirus disease 2019 patients with severe acute respiratory failure. DESIGN: Retrospective cohort analysis of patients with coronavirus disease 2019 mechanically ventilated with severe hypercapnia and respiratory acidosis and treated with low-flow extracorporeal Co2 removal. SETTING: Eight tertiary ICUs in the United States. PATIENTS: Adult patients supported with the Hemolung Respiratory Assist System from March 1, to September 30, 2020. INTERVENTIONS: Extracorporeal Co2 removal with Hemolung Respiratory Assist System under a Food and Drug Administration emergency use authorization for coronavirus disease 2019. MEASUREMENTS AND MAIN RESULTS: The primary outcome was improvement in pH and Paco2 from baseline. Secondary outcomes included survival to decannulation, mortality, time on ventilator, and adverse events. Thirty-one patients were treated with Hemolung Respiratory Assist System with significant improvement in pH and Pco2 in this cohort. Two patients experienced complications that prevented treatment. Of the 29 treated patients, 58% survived to 48 hours post treatment and 38% to hospital discharge. No difference in age or comorbidities were noted between survivors and nonsurvivors. There was significant improvement in pH (7.24 ± 0.12 to 7.35 ± 0.07; p < 0.0001) and Paco2 (79 ± 23 to 58 ± 14; p < 0.0001) from baseline to 24 hours. CONCLUSIONS: In this retrospective case series of 29 patients, we have demonstrated efficacy of extracorporeal Co2 removal using the Hemolung Respiratory Assist System to improve respiratory acidosis in patients with severe hypercapnic respiratory failure due to coronavirus disease 2019.

Asynchrony Between Individual and Government Actions Accounts for Disproportionate Impact of COVID-19 on Vulnerable Communities.

INTRODUCTION: Previously estimated effects of social distancing do not account for changes in individual behavior before the implementation of stay-at-home policies or model this behavior in relation to the burden of disease. This study aims to assess the asynchrony between individual behavior and government stay-at-home orders, quantify the true impact of social distancing using mobility data, and explore the sociodemographic variables linked to variation in social distancing practices. METHODS: This study was a retrospective investigation that leveraged mobility data to quantify the time to behavioral change in relation to the initial presence of COVID-19 and the implementation of government stay-at-home orders. The impact of social distancing that accounts for both individual behavior and testing data was calculated using generalized mixed models. The role of sociodemographics in accounting for variation in social distancing behavior was modeled using a 10-fold cross-validated elastic net (linear machine learning model). Analysis was conducted in April‒July 2020. RESULTS: Across all the 1,124 counties included in this analysis, individuals began to socially distance at a median of 5 days (IQR=3-8) after 10 cumulative cases of COVID-19 were confirmed in their state, with state governments taking a median of 15 days (IQR=12-19) to enact stay-at-home orders. Overall, people began social distancing at a median of 12 days (IQR=8-17) before their state enacted stay-at-home orders. Of the 16 studies included in the review, 13 exclusively used government dates as a proxy for social distancing behavior, and none accounted for both testing and mobility. Using government stay-at-home dates as a proxy for social distancing (10.2% decrease in the number of daily cases) accounted for only 55% of the true impact of the intervention when compared with estimates using mobility (18.6% reduction). Using 10-fold cross-validation, 23 of 43 sociodemographic variables were significantly and independently predictive of variation in individual social distancing, with delays corresponding to an increase in a county's proportion of people without a high school diploma and proportion of racial and ethnic minorities. CONCLUSIONS: This retrospective analysis of mobility patterns found that social distancing behavior occurred well before the onset of government stay-at-home dates. This asynchrony leads to the underestimation of the impact of social distancing. Sociodemographic characteristics associated with delays in social distancing can help explain the disproportionate case burden and mortality among vulnerable communities.