ABSTRACT
Singapore developed several novel strategies to transition towards "living with COVID-19", while protecting hospital capacity. The Home Recovery Programme (HRP) was a national, centrally-administered programme that leveraged technology and telemedicine to allow low-risk individuals to safely recover at home. The HRP was subsequently expanded by partnering primary care doctors in caring for more cases in the community. A key enabler was the National Sorting Logic (NSL), a multi-step triage algorithm allowing risk-stratification of large numbers of COVID-19 patients at a national-level. At the core of the NSL was a risk assessment criterion, comprising of Comorbidities-of-concern, Age, Vaccination status, Examination/clinical findings and Symptoms (CAVES). The NSL sorted all COVID-19 cases into the various levels of care – Primary Care, HRP, COVID-19 Treatment Facility and Hospital. By adopting a national approach towards managing healthcare capacities and triaging COVID-19 patients, Singapore was able to prioritize healthcare resources for high-risk individuals and prevent hospital capacities from being overwhelmed. As part of the national response strategy to tackle COVID-19, Singapore set up and integrated key national databases to enable responsive data analysis and support evidence-based policy decisions. Using data collected between 30 August 2021 to 8 June 2022, we conducted a retrospective cohort study to evaluate the outcomes and effectiveness of vaccination policies, NSL and home-based recovery. A total of 1,240,183 COVID-19 cases were diagnosed during this period, spanning both Delta and Omicron waves, Overall, Singapore experienced very low severity (0.51%) and mortality (0.11%) rates. Vaccinations significantly lowered severity and mortality risks across all age groups. The NSL was effective in predicting risk of severe outcomes and was able to right-site >93% of cases into home-based recovery. By leveraging high vaccination rates, technology and telemedicine, Singapore was able to safely navigate through two COVID-19 waves without impacting severity/mortality rates nor overwhelming hospital capacities.
ABSTRACT
Singapore developed several novel strategies to transition towards "living with COVID-19", while protecting hospital capacity. The Home Recovery Programme (HRP) was a national, centrally-administered programme that leveraged technology and telemedicine to allow low-risk individuals to safely recover at home. The HRP was subsequently expanded by partnering primary care doctors in caring for more cases in the community. A key enabler was the National Sorting Logic (NSL), a multi-step triage algorithm allowing risk-stratification of large numbers of COVID-19 patients at a national-level. At the core of the NSL was a risk assessment criterion, comprising of Comorbidities-of-concern, Age, Vaccination status, Examination/clinical findings and Symptoms (CAVES). The NSL sorted all COVID-19 cases into the various levels of care - Primary Care, HRP, COVID-19 Treatment Facility and Hospital. By adopting a national approach towards managing healthcare capacities and triaging COVID-19 patients, Singapore was able to prioritize healthcare resources for high-risk individuals and prevent hospital capacities from being overwhelmed. As part of the national response strategy to tackle COVID-19, Singapore set up and integrated key national databases to enable responsive data analysis and support evidence-based policy decisions. Using data collected between 30 August 2021 to 8 June 2022, we conducted a retrospective cohort study to evaluate the outcomes and effectiveness of vaccination policies, NSL and home-based recovery. A total of 1,240,183 COVID-19 cases were diagnosed during this period, spanning both Delta and Omicron waves, Overall, Singapore experienced very low severity (0.51%) and mortality (0.11%) rates. Vaccinations significantly lowered severity and mortality risks across all age groups. The NSL was effective in predicting risk of severe outcomes and was able to right-site >93% of cases into home-based recovery. By leveraging high vaccination rates, technology and telemedicine, Singapore was able to safely navigate through two COVID-19 waves without impacting severity/mortality rates nor overwhelming hospital capacities.
ABSTRACT
Telemedicine (TM) is a useful tool to extend medical care during a pandemic. TM was extensively utilized in Singapore during the COVID-19 pandemic as part of the Nation's COVID-19 healthcare strategy. Patients were risk stratified to prioritize limited healthcare resources and the Telemedicine Allocation Reconciliation System (TMARS) was adapted to monitor and manage limited TM resources. High-Risk patients (Protocol 1) had an escalation rate of 4.87%, compared to the non-High-Risk patients' 0.002% and TM doctors spent an average of six hours to complete one tele-consultation. In order to optimize the efficiency of the TM system, an enhanced monitoring system was implemented in March 2022. The intent was to focus monitoring efforts on the High-Risk patients. High-Risk patients reporting sick for the first time were prioritized to receive tele-consultations through this system. With the aid of a data-driven dashboard, the Operations Control and Monitoring team (OCM) was able to closely monitor the performance of the various TM providers (TMPs), sent them timely reminders and re-assigned patients to other TMPs when the requisite turnaround time was not met. Implementing the enhanced monitoring system resulted in a significant reduction in the average time taken to provide tele-consultations. After 3 months of implementation, the percentages of consultations completed within two hours were raised from 75.7% (February 2022) to 96.8% (May 2022), greatly increasing productivity and efficiency.