Battling against the great disruption to surgical care in a pandemic: experiences of 11 South and Southeast Asian countries.

OBJECTIVES: The majority of the cancelled elective surgeries caused by the COVID-19 pandemic globally were estimated to occur in low- and middle-income countries (LMICs), where surgical services had long been in short supply even before the pandemic. Therefore, minimising disruption to existing surgical care in LMICs is of crucial importance during a pandemic. This study aimed to explore contributory factors to the continuity of surgical care in LMICs in the face of a pandemic. DESIGN: Semistructured interviews were conducted over zoom with surgical leaders of 25 tertiary hospitals from 11 LMICs in South and Southeast Asia in September to October 2020. Key themes were subsequently identified from the interview transcripts using the Braun and Clarke's method of thematic analysis. RESULTS: The COVID-19 pandemic affected all surgical services of participating institutions to varying degrees. Overall, elective surgeries suffered the gravest disruption, followed by outpatient surgical care, and finally emergency surgeries. Keeping healthcare workers safe and striving for continuity of essential surgical care emerged as notable response strategies observed across all participating institutions. CONCLUSION: This study suggested that four factors are important for the resilience of surgical care against COVID-19: adequate COVID-19 testing capacity and effective institutional infection control measures, designated COVID-19 treatment facilities, whole-system approach to balancing pandemic response and meeting essential surgical needs, and active community engagement. These findings can inform healthcare institutions in other countries, especially LMICs, in their effort to tread a fine line between preserving healthcare capacity for pandemic response and protecting surgical services against pandemic disruption.

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study

Purpose The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intelligence (AI) and Natural Language Processing (NLP) have emerged as promising solutions to improve healthcare delivery. Chatbots could fill a pivotal role in the dissemination and easy accessibility of accurate information in a pandemic. In this study, we developed a multi-lingual NLP-based AI chatbot, DR-COVID, which responds accurately to open-ended, COVID-19 related questions. This was used to facilitate pandemic education and healthcare delivery. Methods First, we developed DR-COVID with an ensemble NLP model on the Telegram platform (https://t.me/drcovid_nlp_chatbot). Second, we evaluated various performance metrics. Third, we evaluated multi-lingual text-to-text translation to Chinese, Malay, Tamil, Filipino, Thai, Japanese, French, Spanish, and Portuguese. We utilized 2,728 training questions and 821 test questions in English. Primary outcome measurements were (A) overall and top 3 accuracies;(B) Area Under the Curve (AUC), precision, recall, and F1 score. Overall accuracy referred to a correct response for the top answer, whereas top 3 accuracy referred to an appropriate response for any one answer amongst the top 3 answers. AUC and its relevant matrices were obtained from the Receiver Operation Characteristics (ROC) curve. Secondary outcomes were (A) multi-lingual accuracy;(B) comparison to enterprise-grade chatbot systems. The sharing of training and testing datasets on an open-source platform will also contribute to existing data. Results Our NLP model, utilizing the ensemble architecture, achieved overall and top 3 accuracies of 0.838 [95% confidence interval (CI): 0.826–0.851] and 0.922 [95% CI: 0.913–0.932] respectively. For overall and top 3 results, AUC scores of 0.917 [95% CI: 0.911–0.925] and 0.960 [95% CI: 0.955–0.964] were achieved respectively. We achieved multi-linguicism with nine non-English languages, with Portuguese performing the best overall at 0.900. Lastly, DR-COVID generated answers more accurately and quickly than other chatbots, within 1.12–2.15 s across three devices tested. Conclusion DR-COVID is a clinically effective NLP-based conversational AI chatbot, and a promising solution for healthcare delivery in the pandemic era.

Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study.

Purpose: The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intelligence (AI) and Natural Language Processing (NLP) have emerged as promising solutions to improve healthcare delivery. Chatbots could fill a pivotal role in the dissemination and easy accessibility of accurate information in a pandemic. In this study, we developed a multi-lingual NLP-based AI chatbot, DR-COVID, which responds accurately to open-ended, COVID-19 related questions. This was used to facilitate pandemic education and healthcare delivery. Methods: First, we developed DR-COVID with an ensemble NLP model on the Telegram platform (https://t.me/drcovid_nlp_chatbot). Second, we evaluated various performance metrics. Third, we evaluated multi-lingual text-to-text translation to Chinese, Malay, Tamil, Filipino, Thai, Japanese, French, Spanish, and Portuguese. We utilized 2,728 training questions and 821 test questions in English. Primary outcome measurements were (A) overall and top 3 accuracies; (B) Area Under the Curve (AUC), precision, recall, and F1 score. Overall accuracy referred to a correct response for the top answer, whereas top 3 accuracy referred to an appropriate response for any one answer amongst the top 3 answers. AUC and its relevant matrices were obtained from the Receiver Operation Characteristics (ROC) curve. Secondary outcomes were (A) multi-lingual accuracy; (B) comparison to enterprise-grade chatbot systems. The sharing of training and testing datasets on an open-source platform will also contribute to existing data. Results: Our NLP model, utilizing the ensemble architecture, achieved overall and top 3 accuracies of 0.838 [95% confidence interval (CI): 0.826-0.851] and 0.922 [95% CI: 0.913-0.932] respectively. For overall and top 3 results, AUC scores of 0.917 [95% CI: 0.911-0.925] and 0.960 [95% CI: 0.955-0.964] were achieved respectively. We achieved multi-linguicism with nine non-English languages, with Portuguese performing the best overall at 0.900. Lastly, DR-COVID generated answers more accurately and quickly than other chatbots, within 1.12-2.15 s across three devices tested. Conclusion: DR-COVID is a clinically effective NLP-based conversational AI chatbot, and a promising solution for healthcare delivery in the pandemic era.

A year after COVID-19: Its impact on nurses' psychological well-being.

BACKGROUND: Nurses' burnout and psychological well-being are a significant concern during the pandemic. AIMS: The aim of this study is to (i) examine the level of burnout, anxiety, depression, perceived stress and self-rated health for nurses at two time-points, 2020 and 2021, and (ii) examine the socio-demographic characteristics, work-related factors and perceived workplace support factors in relation to the level of burnout. METHODS: This is a cross-sectional study with a longitudinal approach. A convenience sample of registered nurses who worked in an acute care tertiary hospital in Singapore were surveyed during two time-points. Participants' health, socio-demographic characteristics, work-related factors and perceived workplace support factors were collected. RESULTS: Among the 179 nurses, there was a significant increase in burnout level, poorer self-rated health and reduced job dedication. A decrease in the percentage of nurses who felt appreciated at work was reported in 2021 (p = 0.04). Nurses who felt their team was not working well together were 3.30 times more likely to experience burnout (95% CI 1.12 to 9.69; p = 0.03). Nurses who reported that they never felt appreciated by their department/hospital were 8.84 times more likely to experience burnout (95% CI 2.67 to 29.21; p < 0.001). Nurses with poorer self-rated health were more likely to report burnout (95% CI: 1.32-6.03; p = 0.008). CONCLUSION: Nurses had an increased experience of burnout, reduced job dedication and poorer self-rated health after the outbreak. IMPLICATIONS FOR NURSING MANAGEMENT: Interventions at the departmental and organizational levels are needed to improve the workplace support. Strategies to support nurses' psychological well-being during the aftermath of COVID-19 are vital to managing nurses' burnout and improving job dedication and self-rated health.

Understanding the needs of health care workers in Singapore during the COVID-19 outbreak: A qualitative analysis.

BACKGROUND: A successful public health response during the COVID-19 pandemic pivots on the ability of health care workers (HCWs) to work through immense workplace-related physical and psychological pressures. OBJECTIVE: The aim of current study was to explore support needs of HCWs during the COVID-19 outbreak in Singapore and to identify implications for practice and workplace policies. METHODS: A descriptive qualitative approach was adopted in this study. HCWs from a major public health care cluster in Singapore (n = 612) responded to an open-ended question in an online survey. Results were analyzed using content analysis via an inductive approach. RESULTS: Five main themes that borrows from Maslow's Hierarchy of Needs emerged from content analysis, with 17 categories under the themes. The 5 main themes are: physical needs, safety needs, love and belonging needs, esteem needs and self-actualization needs. CONCLUSIONS: Findings from this study indicate that there were many unmet needs among HCWs during the COVID-19 pandemic. An overview of various need areas identified in this study may guide future research and development of interventions to mitigate the negative impact of disease outbreaks on HCWs.

The Psychological Well-Being of Southeast Asian Frontline Healthcare Workers during COVID-19: A Multi-Country Study.

OBJECTIVES: This study examined the prevalence of anxiety, depression, and job burnout among frontline healthcare workers (HCWs) across six Southeast Asian countries (Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam) during the COVID-19 pandemic in 2021. We also investigated the associated risk and protective factors. METHODS: Frontline HCWs (N = 1381) from the participating countries participated between 4 January and 14 June 2021. The participants completed self-reported surveys on anxiety (GAD-7), depression (PHQ-8), and job burnout (PWLS). Multivariate logistic regressions were performed with anxiety, depression, and job burnout as outcomes and sociodemographic and job characteristics and HCW perceptions as predictors. RESULTS: The average proportion of HCWs reporting moderate anxiety, moderately severe depression, and job burnout across all countries were 10%, 4%, and 20%, respectively. Working longer hours than usual (Odds ratio [OR] = 1.82; 3.51), perceived high job risk (1.98; 2.22), and inadequate personal protective equipment (1.89; 2.11) were associated with increased odds of anxiety and job burnout while working night shifts was associated with increased risk of depression (3.23). Perceived good teamwork was associated with lower odds of anxiety (0.46), depression (0.43), and job burnout (0.39). CONCLUSION: Job burnout remains a foremost issue among HCWs. Potential opportunities to improve HCW wellness are discussed.

The Psychological Well-Being of Southeast Asian Frontline Healthcare Workers during COVID-19: A Multi-Country Study

Objectives: This study examined the prevalence of anxiety, depression, and job burnout among frontline healthcare workers (HCWs) across six Southeast Asian countries (Indonesia, Malaysia, Philippines, Singapore, Thailand, Vietnam) during the COVID-19 pandemic in 2021. We also investigated the associated risk and protective factors. Methods: Frontline HCWs (N = 1381) from the participating countries participated between 4 January and 14 June 2021. The participants completed self-reported surveys on anxiety (GAD-7), depression (PHQ-8), and job burnout (PWLS). Multivariate logistic regressions were performed with anxiety, depression, and job burnout as outcomes and sociodemographic and job characteristics and HCW perceptions as predictors. Results: The average proportion of HCWs reporting moderate anxiety, moderately severe depression, and job burnout across all countries were 10%, 4%, and 20%, respectively. Working longer hours than usual (Odds ratio [OR] = 1.82;3.51), perceived high job risk (1.98;2.22), and inadequate personal protective equipment (1.89;2.11) were associated with increased odds of anxiety and job burnout while working night shifts was associated with increased risk of depression (3.23). Perceived good teamwork was associated with lower odds of anxiety (0.46), depression (0.43), and job burnout (0.39). Conclusion: Job burnout remains a foremost issue among HCWs. Potential opportunities to improve HCW wellness are discussed.

Anxiety and burnout among healthcare workers during the COVID-19 circuit breaker in a Women's and Children's Hospital in Singapore

The only factor statistically significantly associated with anxiety was job dedication, where a higher level of job dedication was associated with decreased likelihood of the worker having high levels of anxiety (odds ratio (OR)=0.545;95% confidence interval (CI): 0.301;0.990) (Table 1). [...]participation in the study was voluntary and 95% of our participants were females, which may indicate a self-selection bias. [...]being a cross-sectional survey, our research is only a snapshot in time. [...]we wish to highlight the need for advanced interventions in times of crisis to address mental-health concerns of employees and to safeguard their emotional and psychological wellbeing.

Non-technical skills in surgery during the COVID-19 pandemic: An observational study.

BACKGROUND: Non-technical skills are critical to surgical safety. We examined the impact of the COVID-19 pandemic on non-technical skills of operating room (OR) teams in Singapore. MATERIALS AND METHODS: Observers rated live operations using the Oxford NOTECHS system. Pre- and post-COVID observations were captured from November 2019 to January 2020 and from January 2021 to February 2021, respectively. Scores were compared using Schuirmann's Two One-Sided Test procedure. Multivariable linear regression was used to adjust for case mix. A 10% margin of equivalence was set a priori. RESULTS: Observers rated 159 cases: 75 pre-COVID and 84 post-COVID. There were significant differences between groups in surgical department and surgeon-reported case complexity (both P < 0.001). Total NOTECHS scores increased post-COVID on raw analysis (36.1 vs 38.0, P < 0.001) but remained within the margin of equivalence (90% CI 1.3 to 2.6, P < 0.001). Multivariable analysis demonstrated a similar increase within the margin of equivalence (2.0, 90% CI 1.3 to 2.7). Teamwork and cooperation scores increased by 1.0 post-COVID (90% CI 0.8 to 1.3); all other subcomponent scores were equivalent. CONCLUSION: Non-technical skills before and after the peak of the COVID-19 pandemic were equivalent but not equal. A small but statistically significant improvement post-COVID was driven by an increase in teamwork and cooperation skills. These findings may reflect an improvement in team cohesion, which has been observed in teams under duress in other settings such as the military. Future work should explore the effect of the pandemic on OR culture, team cohesion, and resilience.

Resuming elective surgery after COVID-19: A simulation modelling framework for guiding the phased opening of operating rooms.

OBJECTIVE: To develop a 2-stage discrete events simulation (DES) based framework for the evaluation of elective surgery cancellation strategies and resumption scenarios across multiple operational outcomes. MATERIALS AND METHODS: Study data was derived from the data warehouse and domain knowledge on the operational process of the largest tertiary hospital in Singapore. 34,025 unique cases over 43 operating rooms (ORs) and 18 surgical disciplines performed from 1 January 2019 to 31 May 2020 were extracted for the study. A clustering approach was used in stage 1 of the modelling framework to develop the groups of surgeries that followed distinctive postponement patterns. These clusters were then used as inputs for stage 2 where the DES model was used to evaluate alternative phased resumption strategies considering the outcomes of OR utilization, waiting times to surgeries and the time to clear the backlogs. RESULTS: The tool enabled us to understand the elective postponement patterns during the COVID-19 partial lockdown period, and evaluate the best phased resumption strategy. Differences in the performance measures were evaluated based on 95% confidence intervals. The results indicate that two of the gradual phased resumption strategies provided lower peak OR and bed utilizations but required a longer time to return to BAU levels. Minimum peak bed demands could also be reduced by approximately 14 beds daily with the gradual resumption strategy, whilst the maximum peak bed demands by approximately 8.2 beds. Peak OR utilization could be reduced to 92% for gradual resumption as compared to a minimum peak of 94.2% with the full resumption strategy. CONCLUSIONS: The 2-stage modelling framework coupled with a user-friendly visualization interface were key enablers for understanding the elective surgery postponement patterns during a partial lockdown phase. The DES model enabled the identification and evaluation of optimal phased resumption policies across multiple important operational outcome measures. LAY ABSTRACT: During the height of the COVID-19 pandemic, most healthcare systems suspended their non-urgent elective surgery services. This strategy was undertaken as a means to expand surge capacity, through the preservation of structural resources (such as operating theaters, ICU beds, and ventilators), consumables (such as personal protective equipment and medications), and critical healthcare manpower. As a result, some patients had less-essential surgeries postponed due to the pandemic. As the first wave of the pandemic waned, there was an urgent need to quickly develop optimal strategies for the resumption of these surgeries. We developed a 2-stage discrete events simulation (DES) framework based on 34,025 unique cases over 43 operating rooms (ORs) and 18 surgical disciplines performed from 1 January 2019 to 31 May 2020 captured in the Singapore General Hospital (SGH) enterprise data warehouse. The outcomes evaluated were OR utilization, waiting times to surgeries and time to clear the backlogs. A user-friendly visualization interface was developed to enable decision makers to determine the most promising surgery resumption strategy across these outcomes. Hospitals globally can make use of the modelling framework to adapt to their own surgical systems to evaluate strategies for postponement and resumption of elective surgeries.

Healthcare worker stress, anxiety and burnout during the COVID-19 pandemic in Singapore: A 6-month multi-centre prospective study.

AIM: The long-term stress, anxiety and job burnout experienced by healthcare workers (HCWs) are important to consider as the novel coronavirus disease (COVID-19) pandemic stresses healthcare systems globally. The primary objective was to examine the changes in the proportion of HCWs reporting stress, anxiety, and job burnout over six months during the peak of the pandemic in Singapore. The secondary objective was to examine the extent that objective job characteristics, HCW-perceived job factors, and HCW personal resources were associated with stress, anxiety, and job burnout. METHOD: A sample of HCWs (doctors, nurses, allied health professionals, administrative and operations staff; N = 2744) was recruited via invitation to participate in an online survey from four tertiary hospitals. Data were gathered between March-August 2020, which included a 2-month lockdown period. HCWs completed monthly web-based self-reported assessments of stress (Perceived Stress Scale-4), anxiety (Generalized Anxiety Disorder-7), and job burnout (Physician Work Life Scale). RESULTS: The majority of the sample consisted of female HCWs (81%) and nurses (60%). Using random-intercept logistic regression models, elevated perceived stress, anxiety and job burnout were reported by 33%, 13%, and 24% of the overall sample at baseline respectively. The proportion of HCWs reporting stress and job burnout increased by approximately 1·0% and 1·2% respectively per month. Anxiety did not significantly increase. Working long hours was associated with higher odds, while teamwork and feeling appreciated at work were associated with lower odds, of stress, anxiety, and job burnout. CONCLUSIONS: Perceived stress and job burnout showed a mild increase over six months, even after exiting the lockdown. Teamwork and feeling appreciated at work were protective and are targets for developing organizational interventions to mitigate expected poor outcomes among frontline HCWs.

Knowledge, attitudes, and practice towards COVID-19 among multi-ethnic elderly Asian residents in Singapore: a mixed methods study.

INTRODUCTION: We investigated knowledge, attitudes, and practice (KAP) about COVID-19 and related preventive measures in Singaporeans aged ≥ 60 years. METHODS: This was a population-based, cross-sectional, mixed-methods study (13 May 2020-9 June 2020) of participants aged ≥60 years. Self-reported KAP about ten COVID-19 symptoms and six government-endorsed preventive measures were evaluated. Multivariable regression models identified sociodemographic and health-related factors associated with knowledge, attitudes and practices in our sample. Associations between knowledge/attitude scores, and practice categories were determined using logistic regression. 78 participants were interviewed qualitatively about practice of additional preventive measures and data were analysed thematically. RESULTS: Mean awareness score of the symptoms was 7.2/10. Fever (93.0%) and diarrhoea (33.5%) were the most- and least-known symptoms, respectively. Most knew all six preventive measures (90.4%), perceived them as effective (78.7%), and practiced 'wear a mask' (97.2%). Indians, Malays, and those in smaller housing had poorer mean knowledge of COVID-19 symptoms scores. Older participants had poorer attitudes towards preventive measures. Compared to Chinese, Indians had lower odds of practicing 3/6 recommendations. A one-point increase in knowledge of and attitudes towards preventive measures score had higher odds of always practicing 3/6 and 2/6 measures, respectively. Qualitative interviews revealed use of other preventive measures, e.g. maintaining a healthy lifestyle. CONCLUSION: Elderly Singaporeans displayed high levels of KAP about COVID-19 and related preventive measures, with a positive association between levels of knowledge/attitude, and practice. However, important ethnic and socioeconomic disparities were evident, suggesting key vulnerabilities remain, requiring immediate attention.

Personal protective equipment training for non-healthcare workers in the Covid-19 pandemic: Effectiveness of an evidence-based skills training framework.

BACKGROUND: Large-scale quarantine facilities staffed with non-healthcare workers (NHCW) were instrumental in preventing community spread of COVID-19 (coronavirus disease of 2019). The objective of this study was to determine the effectiveness of a newly developed procedural skills training framework in ensuring personal protective equipment (PPE) compliance of PPE-naïve NHCWs. METHODS: We developed a PPE procedural skills training framework for NHCWs using the Learn, See, Practice, Prove, Do, and Maintain (LSPPDM) framework and international guidelines on PPE for healthcare workers. The NHCWs underwent PPE training using this framework, conducted by a team of Infection Prevention nurses, prior to being stationed within the CCF. Effectiveness of the LSPPDM PPE training framework was assessed using: 1) competency assessment scores for NHCWs, 2) PPE compliance rates from daily audit findings, and, 3) healthcare-associated COVID-19 infection rates of NHCWs. RESULTS: A total of 883 NHCWs had completed the PPE training and demonstrated competency in PPE compliance, fulfilling 100% of the checklist requirements. Mean PPE compliance of all NHCWs during the 11-week study period was noted to be >96%. The post-implementation improvement was statistically significant when the compliance was expressed in 3-days blocks) and in bed management staff (P = < 0.05). None of the 883 NHCWs who underwent PPE training via the LSPPDM framework were diagnosed with healthcare-associated COVID-19 infection. CONCLUSION: An evidence-based skills training framework is effective in PPE training of large numbers of NHCWs, resulting in high compliance of appropriate PPE use and prevention of healthcare-associated COVID-19 infection.

Virtual non-technical skills assessment training is an effective, scalable approach for novice raters.

OBJECTIVES: The COVID-19 pandemic has forced a creative transition to virtual platforms due to physical distancing and travel restrictions. We designed and tested a highly scalable virtual training curriculum for novice raters using the Oxford NOTECHS non-technical skills rating system. DESIGN: A three-day training course comprising virtual didactics, virtually facilitated simulations, and independent live observations was implemented. NOTECHS scores were submitted for eleven standardized video simulations and four live operations. Intraclass correlation coefficients (ICCs) were calculated for total NOTECHS scores and subcomponent scores. Raters previously trained in-person with the same standardized videos served as a comparator group for equivalence testing. SETTING: All study activities were conducted in a large academic tertiary referral center in Singapore as part of an ongoing surgical safety initiative. PARTICIPANTS: Seven staff members underwent training (three virtually and four in-person).  None had prior surgical experience or non-technical skills assessment training. RESULTS: ICCs for total NOTECHS scores were 0.85 (95% CI, 0.73-0.98) for virtually trained raters and 0.83 for those trained in-person (95% CI, 0.68-0.99).  Scores were equivalent between groups within a 10% margin. CONCLUSIONS: Non-technical skills assessment can be reliably taught in a highly scalable virtual format. Virtual NOTECHS training is a valuable tool for educational and quality improvement initiatives during the COVID-19 pandemic and for centers that lack ready access to onsite non-technical skills training expertise.

Early Outcomes of a National Cancer Center's Strategy Against COVID-19 Executed Through a Disease Outbreak Response Taskforce.

PURPOSE: We present the strategy of a comprehensive cancer center organized to make operations pandemic proof and achieve continuity of cancer care during the COVID-19 pandemic. METHODS: Disease Outbreak Response (DORS) measures implemented at our center and its satellite clinics included strict infection prevention, manpower preservation, prudent resource allocation, and adaptation of standard-of-care treatments. Critical day-to-day clinical operations, number of persons screened before entry, staff temperature monitoring, and personal protection equipment stockpile were reviewed as a dashboard at daily DORS taskforce huddles. Polymerase chain reaction swab tests performed for patients and staff who met defined criteria for testing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were tracked. Descriptive statistics of outpatient attendances and treatment caseloads from February 3 to May 23, 2020, were compared with the corresponding period in 2019. RESULTS: We performed COVID-19 swabs for 80 patients and 93 staff, detecting three cancer patients with community-acquired COVID-19 infections with no nosocomial transmission. Patients who required chemotherapy, radiotherapy, or surgery and patients who are on maintenance treatment continued to receive timely treatment without disruption. The number of intravenous chemotherapy treatments was maintained at 97.8% compared with 2019, whereas that of weekly radiotherapy treatments remained stable since December 2019. All cancer-related surgeries proceeded without delay, with a 0.3% increase in workload. Surveillance follow-ups were conducted via teleconsultation, accounting for a 30.7% decrease in total face-to-face clinic consultations. CONCLUSION: Through the coordinated efforts of a DORS taskforce, it is possible to avoid nosocomial SARS-CoV-2 transmissions among patients and staff without compromising on care delivery at a national cancer center.

Stressors and coping strategies of migrant workers diagnosed with COVID-19 in Singapore: a qualitative study.

INTRODUCTION: The health, psychological and socioeconomic vulnerabilities of low-wage migrant workers have been magnified in the COVID-19 pandemic, especially in high-income receiving countries such as Singapore. We aimed to understand migrant worker concerns and coping strategies during the COVID-19 pandemic to address these during the crisis and inform on comprehensive support needed after the crisis. METHODS: In-depth semi-structured interviews were carried out with migrant workers diagnosed with COVID-19. The participants were recruited from a COVID-19 mass quarantine facility in Singapore through a purposive sampling approach. Interviews were transcribed verbatim and thematic analysis performed to derive themes in their collective experience during the crisis. RESULTS: Three theme categories were derived from 27 interviews: migrant worker concerns during COVID-19, coping during COVID-19 and priorities after COVID-19. Major stressors in the crisis included the inability to continue providing for their families when work is disrupted, their susceptibility to infection in crowded dormitories, the shock of receiving the COVID-19 diagnosis while asymptomatic, as well as the isolating conditions of the quarantine environment. The workers coped by keeping in contact with their families, accessing healthcare, keeping updated with the news and continuing to practise their faith and religion. They looked forward to a return to normalcy after the crisis with keeping healthy and having access to healthcare as new priorities. CONCLUSION: We identified coping strategies employed by the workers in quarantine, many of which were made possible through the considered design of care and service delivery in mass quarantine facilities in Singapore. These can be adopted in the set-up of other mass quarantine facilities around the world to support the health and mental well-being of those quarantined. Our findings highlight the importance of targeted policy intervention for migrant workers, in areas such as housing and working environments, equitable access to healthcare, and social protection during and after this crisis.

Managing COVID-19 in a Novel, Rapidly Deployable Community Isolation Quarantine Facility.

Singapore is one of the most densely populated small island-states in the world. During the coronavirus disease 2019 (COVID-19) pandemic, Singapore implemented large-scale institutional isolation units called Community Care Facilities (CCFs) to combat the outbreak in the community by housing low-risk COVID-19 patients from April to August 2020. The CCFs were created rapidly by converting existing public spaces and used a protocolized system, augmented by telemedicine to enable a low health care worker-patient ratio (98 health care workers for 3200 beds), to operate these unique facilities. In the first month, a total of 3758 patients were admitted to 4 halls, 4929 in-house medical consults occurred, 136 patients were transferred to a hospital, 1 patient died 2 weeks after discharge, and no health care workers became infected. This article shares the authors' experience in operating these massive-scale isolation facilities while prioritizing safety for all and ensuring holistic patient care in the face of a public health crisis and lean health care resources.

Prevalence of olfactory and taste dysfunction in COVID-19 patients: a community care facility study.

PURPOSE: We aim to study the prevalence of olfactory and taste dysfunction (OTD) in subjects residing in a Community Care Facility (CCF), a center unique to Singapore that is dedicated to isolate foreign workers with COVID-19 infection who have mild disease with minimal or no symptoms. METHODS: This is a cross-sectional study analyzing data prospectively collected from COVID-19-positive subjects who were admitted into a single-center Singapore EXPO CCF from 1st May 2020 to 1st July 2020. The following variables were collected: age, gender, ethnicity, anosmia, ageusia and acute respiratory infection (ARI) symptoms. Symptoms of anosmia and ageusia were self-declared via a mandatory questionnaire administered on admission. RESULTS: A total of 1983 subjects were included. The overall prevalence of anosmia and ageusia is 3.0% and 2.6%, respectively. 58% of anosmic subjects have co-existent ageusia and 72.6% of anosmic subjects have no concurrent sinonasal symptoms. OTD is less likely to present in subjects who are asymptomatic for ARI, compared to those symptomatic for ARI (anosmia: 2.0% versus 4.4% p = 0.002; ageusia: 1.6% versus 4.2% p < 0.001). There is a difference in the prevalence of OTD between the different ethnic groups (Indian, Chinese, Bangladeshi and Others), with Chinese and Bangladeshi reporting a higher prevalence (p < 0.043) CONCLUSION: The true prevalence of OTD in COVID-19-positive subjects may be low with aggressive screening of all subjects, including those asymptomatic for ARI.