The COVID-19 pandemic is continuing, and the innovative and efficient contributions of the emerging modern technologies to the pandemic responses are too early and cannot be completely quantified at this moment. Digital technologies are not a final solution but are the tools that facilitate a quick and effective pandemic response. In accordance, mobile applications, robots and drones, social media platforms (such as search engines, Twitter, and Facebook), television, and associated technologies deployed in tackling the COVID-19 (SARS-CoV-2) outbreak are discussed adequately, emphasizing the current-state-of-art. A collective discussion on reported literature, press releases, and organizational claims are reviewed. This review addresses and highlights how these effective modern technological solutions can aid in healthcare (involving contact tracing, real-time isolation monitoring/screening, disinfection, quarantine enforcement, syndromic surveillance, and mental health), communication (involving remote assistance, information sharing, and communication support), logistics, tourism, and hospitality. The study discusses the benefits of these digital technologies in curtailing the pandemic and ‘how’ the different sectors adapted to these in a shorter period. Social media and television’s role in ensuring global connectivity and serving as a common platform to share authentic information among the general public were summarized. The World Health Organization and Governments’ role globally in-line with the prevention of propagation of false news, spreading awareness, and diminishing the severity of the COVID-19 was discussed. Furthermore, this collective review is helpful to investigators, health departments, Government organizations, and policymakers alike to facilitate a quick and effective pandemic response.

PURPOSE A COVID-19 lockdown in India posed significant challenges to the continuation of radiotherapy (RT) and systemic therapy services. Although several COVID-19 service guidelines have been promulgated, implementation data are yet unavailable. We performed a comprehensive audit of the implementation of services in a clinical oncology department. METHODS A departmental protocol of priority-based treatment guidance was developed, and a departmental staff rotation policy was implemented. Data were collected for the period of lockdown on outpatient visits, starting, and delivery of RT and systemic therapy. Adherence to protocol was audited, and factors affecting change from pre-COVID standards analyzed by multivariate logistic regression. RESULTS Outpatient consults dropped by 58%. Planned RT starts were implemented in 90%, 100%, 92%, 90%, and 75% of priority level 1-5 patients. Although 17% had a deferred start, the median time to start of adjuvant RT and overall treatment times were maintained. Concurrent chemotherapy was administered in 89% of those eligible. Systemic therapy was administered to 84.5% of planned patients. However, 33% and 57% of curative and palliative patients had modifications in cycle duration or deferrals. The patient’s inability to come was the most common reason for RT or ST deviation. Factors independently associated with a change from pre-COVID practice was priority-level allocation for RT and age and palliative intent for systemic therapy. CONCLUSION Despite significant access limitations, a planned priority-based system of delivery of treatment could be implemented.

IntroductionThe COVID-19 pandemic has affected cancer care worldwide. We audited adherence to 19 predefined quality indicators (QI) of treatment in patients with carcinoma cervix in our institute. MethodsPatients with carcinoma cervix treated with curative intent radical radiotherapy were eligible for this study. Patients who started treatment between 24 March 2019 and 24 March 2021 were evaluated. We divided participants into two groups, the pre pandemic period between 24 March 2019 and 23 March 2020, and the period of pandemic from 24 March 2020 - 24 March 2021. Adherence to 19 predefined QI was evaluated for each patient’s treatment course. Multivariable analysis of adherence to QI was performed using proportional odds regression. Results154 patients underwent treatment, of whom 83 (53.9%) received treatment during the pandemic. 17 patients had COVID-19 infection before or during treatment. Adherence to QI decreased during the pandemic, primarily driven by delays in the start and delivery of treatment. The median number of QI adhered to in the pre pandemic period was 17 (IQR: 16 - 17.5) versus 17 during the pandemic (IQR: 16 - 17). Multivariable analysis showed that treatment during the pandemic period was associated with a lower adherence to QI (Odds ratio 3.30, 95% confidence intervals 1.70 - 6.50). ConclusionsThe COVID-19 pandemic was associated with reduced adherence to QI. Treatment delivery was affected not only by COVID-19 infection, but also logistic challenges due to restrictions related to the pandemic.

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