The impact of the COVID-19 pandemic on tertiary care cancer center: Analyzing administrative data

Filho, Hélio de Araújo de Fonseca; Malta, Fábio Costa; Bitu, Felipe Costa Leandro; Barbosa, Cláudia Maria; Sá, Josenildo de; Amarante, A.; Thuler, Luiz Cláudio Santos

doi:10.1053/j.seminoncol.2022.04.004

Cited by 3 publications

(3 citation statements)

References 32 publications

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“…Another tertiary cancer institute in Brazil also reported no significant reduction in ED visits during the first wave of COVID-19. When compared with a general primary care hospital, they reported a 66.4% reduction in all ED visits, and this difference was increased in low severity score patients 23…”

Section: Discussionmentioning

confidence: 95%

“…When compared with a general primary care hospital, they reported a 66.4% reduction in all ED visits, and this difference was increased in low severity score patients. 23 Result variability between cancer centres and general hospitals raises an ethical discussion about critical care for patients with cancer in this pandemic. Due to limited resources, access to intensive care unit (ICU) in overwhelmed general hospitals was limited, which narrowed treatment options for patients with cancer requiring ICU therapies.…”

Section: Discussionmentioning

confidence: 99%

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COVID-19 impact on an oncologic emergency department visits: observational study

Ram

Pagès

Cubilier

et al. 2023

BMJ Support Palliat Care

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ObjectiveThis study aimed at evaluating the impact of COVID-19 on emergency department (ED) visits in a tertiary cancer centre and providing information on the features of the unplanned events during the first wave of COVID-19 pandemic.MethodsThis retrospective observational study based on data from ED reports was divided into three periods of 2 months each around the first lockdown announcement of 17 March 2020: pre-lockdown, lockdown and post-lockdown.ResultsA total of 903 ED visits were included in the analyses. The mean (±SD) daily number of ED visits did not change during the lockdown period (14.6±5.5) when compared with the periods before (13.6±4.5) and after lockdown (13.7±4.4) (p=0.78). The proportion of ED visits for fever and respiratory disorders increased significantly to 29.5% and 28.5%, respectively (p<0.01) during lockdown. Pain, the third most frequent motive, remained stable with 18.2% (p=0.83) throughout the three periods. Symptom severity also showed no significant differences in the three periods (p=0.31).ConclusionOur study shows that ED visits during the first wave of the COVID-19 pandemic remained stable for our patients regardless of the symptom’s severity. The fear of an in-hospital viral contamination appears weaker than the need for pain management or for the treatment of cancer-related complications. This study highlights the positive impact of cancer ED in the first-line treatment and supportive care of patients with cancer.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 99%

COVID-19 impact on an oncologic emergency department visits: observational study

Ram

Pagès

Cubilier

et al. 2023

BMJ Support Palliat Care

View full text Add to dashboard Cite

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“…During the initial wave of the pandemic, all nations have demonstrated a lack of capability in effectively managing the outbreak (1). The current pandemic has resulted in prolonged and unforeseeable hospitalizations due to Covid-19, posing a challenge in the management of patients with pre-existing chronic or severe conditions, as well as those requiring hospitalization and subsequent monitoring (2). The COVID-19 pandemic serves as a reminder of the critical importance of proficient bed capacity management for all illnesses, particularly in the context of outbreaks that require prompt implementation of action plans (3).…”

Section: Introductionmentioning

confidence: 99%

Prediction of Short or Long Length of Stay COVID-19 by Machine Learning

et al. 2023

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Purpose: To predict with high accuracy, using machine learning, if the length of stay of Covid-19 patients will be short or not, based on the basic clinical parameters. Method: Seven primary variables, including age, gender, length of stay, c-reactive protein, ferritin, lymphocyte, and the COVID-19 Reporting and Data System (CORADS), were scanned and analyzed for 118 adult patients hospitalized with the diagnosis of Covid-19 between November 2020 and January 2021. Randomly, the data set is split into a training set of 80% and a test set of 20%. Using the caret package of the R programming language, machine learning models attempted to predict whether the length of stay was short or long, and the performance values of these models were recorded. Results: Among the models, the k-nearest neighbor model produced the best results. According to this model, the following were the estimation performance results for hospitalizations of 5 days or less or more than 5 days: The accuracy rate was 0.92 (95% CI, 0.73-0.99), the no-information rate was 0.67, the Kappa rate was 0.82, and the F1 score was 0.89 (p=0.0048). Conclusion: By applying machine learning into Covid-19, length of stay estimations may be made more accurately, providing for more effective patient management.

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Impact of COVID-19 pandemic on outpatient visit volume in cancer patients: Results of COMETA multicenter retrospective observational study

Frisardi

Brunetti

Abbinante

et al. 2023

Front. Public Health

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ObjectiveTo evaluate the impact of the COVID-19 pandemic on first and follow-up visits for cancer outpatients.MethodsThis is a multicenter retrospective observational study involving three Comprehensive Cancer Care Centers (CCCCs): IFO, including IRE and ISG in Rome, AUSL-IRCCS of Reggio Emilia, and IRCCS Giovanni Paolo II in Bari) and one oncology department in a Community Hospital (Saint'Andrea Hospital, Rome). From 1 January 2020 and 31 December 2021, we evaluated the volume of outpatient consultations (first visits and follow-up), comparing them with the pre-pandemic year (2019). Results were analyzed by quarter according to the Rt (real-time indicator used to assess the evolution of the pandemic). IFO and IRCCS Giovanni Paolo II were “COVID-free” while AUSL-IRCCS RE was a “COVID-mixed” Institute. Depending on the Rt, Sain't Andrea Hospital experienced a “swinging” organizational pathway (COVID-free/ COVID-mixed).ResultsRegarding the “first appointments”, in 2020 the healthcare facilities operating in the North and Center of Italy showed a downward trend. In 2021, only AUSL-IRCCS RE showed an upward trend. Regarding the “follow-up”, only AUSL IRCCS RE showed a slight up-trend in 2020. In 2021, IFO showed an increasing trend, while S. Andrea Hospital showed a negative plateau. Surprisingly, IRCCS Giovanni Paolo II in Bari showed an uptrend for both first appointment and follow-ups during pandemic and late pandemic except for the fourth quarter of 2021.ConclusionsDuring the first pandemic wave, no significant difference was observed amongst COVID-free and COVID-mixed Institutes and between CCCCs and a Community Hospital. In 2021 (“late pandemic year”), it has been more convenient to organize COVID-mixed pathway in the CCCCs rather than to keep the Institutions COVID-free. A swinging modality in the Community Hospital did not offer positive results in term of visit volumes. Our study about the impact of COVID-19 pandemic on visit volume in cancer outpatients may help health systems to optimize the post-pandemic use of resources and improve healthcare policies.

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The impact of the COVID-19 pandemic on tertiary care cancer center: Analyzing administrative data

Cited by 3 publications

References 32 publications

COVID-19 impact on an oncologic emergency department visits: observational study

COVID-19 impact on an oncologic emergency department visits: observational study

Prediction of Short or Long Length of Stay COVID-19 by Machine Learning

Impact of COVID-19 pandemic on outpatient visit volume in cancer patients: Results of COMETA multicenter retrospective observational study

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