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Introduction: Singapore Health Services (SingHealth), Singapore’s largest public healthcare cluster, rolled out a voluntary COVID-19 vaccination programme for the staff population in January 2021. The highlights the strategies undertaken to encourage uptake of the COVID-19 vaccine, in order to achieve a high vaccination rate of its healthcare workforce. Material and Methods: Beyond the conventional approach centred around logistics, cold-chain and access optimisation, the SingHealth’s COVID-19 vaccination programme adapted the principles of the World Health Organization (WHO) Tailoring Immunisation Programme (TIP). The SingHealth’s COVID-19 vaccination programme drew on health behavioural change theories that emphasised on social and behavioural insights behind vaccination hesitancy and acceptance, which were essential to shape interventions to achieve a high vaccination-take up. Results: Vaccination behaviours identified were categorised into three key determinants of Capability, Opportunity and Motivation. Interventions and vaccination efforts were shaped around the three key determinants over a 7-month period from January 2021 to July 2021. 38,244 (93.8%) of 40,767 staff and service partners were fully vaccinated with the two-dose regime of the Pfizer-BioNTech COVID-19 vaccine and 39,206 (96.2%) received at least one dose. Conclusions: Vaccination behaviour continues to be a complex issue that must be addressed given the ever-changing COVID-19 pandemic situation. The SingHealth experience demonstrated how behavioural science can be applied in the planning and rollout of a successful mass vaccination programme.
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AIM: This study aims to describe the clinical data and disease severity of thoracic malignancy patients with coronavirus disease 2019 (COVID-19) and its relation to the mitigation process at the Dharmais National Cancer Center, Indonesia. METHODS: A total of 5256 cancer patients registered from May 2020 to March 2021. There were 681 cancer patients diagnosed with COVID-19. Forty-five thoracic malignancy patients were enrolled. Data from medical records were obtained at the Dharmais Cancer Hospital, then analyzed using SPSS version 25. Comparative result was considered significant, as p < 0.05. RESULTS: There were 12.9% of total patients registered infected by COVID-19, which 6% with thoracic malignancy dominated by non-small cell lung carcinoma (57.8%). Patients who have asymptomatic (31.1%), mild (13.3%), and moderate COVID-19 disease (8.9%) were alive. Patient with severe disease (46.7%) tends to deteriorate. Neutrophilia (mean 78.0%), lymphopenia (mean 13.0%), high neutrophil-to-lymphocyte ratio (mean 13.1), hyperuricemia (mean 31.6 mg/dL), high fibrinogen (mean 521.7 mg/dL), and high d-dimer (mean 3821.6 ng/mL) were significantly associated with disease severity (p < 0.05). CONCLUSION: Only small number of cancer patients affected by COVID-19 and mostly does not progress to severe disease, showing that the strict mitigation strategy was successful. Severe disease patients have a poor prognosis, with neutrophilia, lymphopenia, high neutrophil-to-lymphocyte ratio, hyperuricemia, high fibrinogen, and high d-dimer may be valuable for predicting poor prognosis.
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OBJECTIVE: This study aimed to compare the mortality rate between advanced-stage non-small cell lung cancer patients (NSCLC) with and without COVID-19. This study also explores the possible laboratory characteristics used for prognostication in patients with NSCLC and COVID-19. Additionally, this study evaluated potential differences in laboratory values between the case and control groups. PATIENTS AND METHODS: This is a single-center retrospective cohort study conducted in Dharmais National Cancer Hospital, Indonesia, enrolling patients with NSCLC undergoing chemotherapy or targeted therapy between May 2020 and January 2021. All patients with NSCLC and COVID-19 in these periods were enrolled into the case group. The control group was age-matched NSCLC patients without COVID-19 that was derived from the NSCLC cohort through randomization. RESULTS: There were 342 patients with NSCLC between May 2020 and January 2021. Twenty-seven (7.9%) of the patients were infected by COVID-19. To facilitate comparison, thirty-five age-matched controls with NSCLC were selected from the cohort. The mortality rate in patients with COVID-19 was 46.2%. Eleven patients (40.7%) had severe COVID-19, of which none survived. NLR >8.35 has a sensitivity of 83.3%, specificity of 92.9%, LR+ of 12, and LR- of 0.18. The AUC was 0.946 (95% CI 0.867-1.000), p<0.001. PLR >29.14 has a sensitivity of 75.0%, specificity of 71.4%, LR+ 2.62, LR- 0.35, and AUC 0.851 (95% CI 0.706-0.996), p=0.002. Both NLR and PLR were associated with shorter time-to-mortality in the unadjusted and adjusted model CONCLUSIONS: NLR and PLR are independent predictors of mortality in COVID-19 patients with NSCLC.