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Introduction: The night float (NF) system has been instituted in some hospitals in Singapore to improve the working hours and wellbeing of junior doctors. There have been concerns of compromised learning and patient safety with NF. The objective of this study is to compare clinical competency outcomes, based on existing assessment framework, between post-graduate year 1 (PGY1) doctors working on NF versus traditional call (TC) systems. The secondary aim was to explore patient safety outcomes between these groups of PGY1s. Methods: Data on the formal assessments of PGY1s using the Entrustable Professional Activities (EPAs) and medical errors were prospectively collected between May 2021 and April 2022 from two hospitals that employed different on-call systems. Data was analysed descriptively. Categorical data was analysed using the Chi-square test or Fisher’s exact test where appropriate. Results: One hundred and ninety-three PGY1s consented to the study. There was no statistically significant difference in the clinical competency of PGY1s in both groups. The number of PGY1s who had ‘needs improvement’ scores in a detailed EPA was not significantly different (9.0% in the NF group versus vs 3.7% in the TC group (p = 0.14)). They nonetheless passed the overall core EPA and no PGY1 failed their postings. No serious reportable medical errors occurred in either group. Conclusion: PGY1s who worked on NF are equally competent compared to those who worked on TC based on the EPA assessment matrix. Patient safety is not compromised by PGY1s working on NF.

Abstract Background To address the hospital bed demand for Delta and Omicron surges in Singapore, the National University Health System (NUHS) developed a COVID Virtual Ward to relieve bed pressures on its three acute hospitals—National University Hospital, Ng Teng Fong General Hospital, Alexandra Hospital. To serve a multilingual population, the COVID Virtual Ward featuring protocolized teleconsultation of high-risk patients, use of a vital signs chatbot, supplemented by home visits where necessary. This study aims to evaluate the safety, outcomes and utilisation of the Virtual Ward as a scalable response to COVID-19 surges. Methods This is a retrospective cohort study of all patients admitted to the COVID Virtual Ward between 23 September to 9 November 2021. Patients were defined as “early discharge” if they were referred from inpatient COVID-19 wards and “admission avoidance” if they were referred directly from primary care or emergency services. Patient demographics, utilisation measures and clinical outcomes were extracted from the electronic health record system. The primary outcomes were escalation to hospital and mortality. Use of the vital signs chatbot was evaluated by examining compliance levels, need for automated reminders and alerts triggered. Patient experience was evaluated using data extracted from a quality improvement feedback form. Results 238 patients were admitted to the COVID Virtual Ward from 23 September to 9 November, of whom 42% were male, 67.6% of Chinese ethnicity. 43.7% were over the age of 70, 20.5% were immunocompromised, and 36.6% were not fully vaccinated. 17.2% of patients were escalated to hospital and 2.1% of patients died. Patients who were escalated to hospital were more likely to be immunocompromised or to have a higher ISARIC 4C-Mortality Score. There were no missed deteriorations. All patients received teleconsults (median of 5 teleconsults per patient, IQR 3–7). 21.4% of patients received home visits. 77.7% of patients engaged with the vital signs chatbot, with a compliance rate of 84%. All patients would recommend the programme to others in their situation. Conclusions Virtual Wards are a scalable, safe and patient-centered strategy to care for high risk COVID-19 patients at home. Trial Registration NA.

The novel coronavirus disease 2019 (COVID-19) pandemic poses a serious public health risk. In this report, we present a modified sequencing workflow using short tiling (280bp) amplicons library preparation method paired with Illumina’s iSeq100 desktop sequencer. We demonstrated the utility of our workflow in identifying gapped reads that capture characteristics of subgenomic RNA junctions within our patient cohort. These analytical and library preparation approaches allow a versatile, small footprint and decentralized deployment that can facilitate comprehensive genetics characterizations during outbreaks. Based on the sequencing data, Taqman assays were designed to accurately capture the quantity of subgenomic ORF5 and ORF7a RNA from patient samples and demonstrated utility in tracking subgenomic titres in patient samples when combined with a standard COVID-19 qRT-PCR assay.

Abstract Background COVID-19 is a respiratory viral infection with unique features including a more chronic course and systemic disease manifestations including multiple organ involvement; and there are differences in disease severity between ethnic groups. The immunological basis for disease has not been fully characterised. Analysis of whole-blood RNA expression may provide valuable information on disease pathogenesis. Methods We studied 45 patients with confirmed COVID-19 infection within 10 days from onset of illness and a control group of 19 asymptomatic healthy volunteers with no known exposure to COVID-19 in the previous 14 days. Relevant demographic and clinical information was collected and a blood sample was drawn from all participants for whole-blood RNA sequencing. We evaluated differentially-expressed genes in COVID-19 patients (log2 fold change ≥ 1 versus healthy controls; false-discovery rate 0.05). Conclusions The whole-blood transcriptome of COVID-19 has overall similarity with other respiratory infections but there are some unique pathways that merit further exploration to determine clinical relevance. The approach to a disease score may be of value, but needs further validation in a population with a greater range of disease severity.