| Literature DB >> 34514453 |
Friederike Erdmann1,2, Maike Wellbrock1, Claudia Trübenbach1, Claudia Spix1, Martin Schrappe3, Joachim Schüz2, Desiree Grabow1, Michael Eichinger4,5,6.
Abstract
BACKGROUND: The indirect impact of the COVID-19 pandemic on cancer care and timely diagnosis is of increasing concern. We investigated the impact of the COVID-19 pandemic on incidence, time of diagnosis and delivery of healthcare among paediatric oncology patients in Germany in 2020.Entities:
Keywords: COVID-19 pandemic; Childhood cancer; Diagnosis; German Childhood Cancer Registry; Germany; Healthcare delivery; Incidence
Year: 2021 PMID: 34514453 PMCID: PMC8423844 DOI: 10.1016/j.lanepe.2021.100188
Source DB: PubMed Journal: Lancet Reg Health Eur ISSN: 2666-7762
Fig. 1a-f: Absolute numbers of newly diagnosed childhood cancer cases (in 0 – 17 year olds) in 2020 by calendar months versus the average numbers of childhood cancer cases during 2015–2019. The whiskers display the respective minimum and maximum number of cancer cases by calendar month during 2015-2019. The comparison is given for all cancers combined (a), and separately for leukaemias (b), lymphoid leukaemias (c), lymphomas (d), tumours of the central nervous system (e) and solid tumours other than in the central nervous system (non-CNS solid tumours) (f). Diagnostic groups and cancer types were defined according to the International Classification of Childhood Cancer – 3rd version (ICCC-3). The group of non-CNS solid tumours includes ICCC-3 diagnostic groups IV to XII (IV. Neuroblastoma and other peripheral nervous cell tumours, V. Retinoblastomas, VI. Renal tumours, VII. Hepatic tumours, VIII. Malignant bone tumours, IX. Soft tissue and other extraosseous sarcomas, X. Germ cell tumours, trophoblastic tumours, and neoplasm of gonads, XI. Other malignant epithelial neoplasms and melanomas, and XII. Other and unspecified malignant neoplasms).
Fig. 2a-d: Absolute numbers of newly diagnosed childhood cancer cases (in 0 – 17 year olds) in 2020 by calendar months and age at diagnosis (<1 year (a), 1-4 years (b), 5-9 years (c), 10-17 years (d)) versus the average numbers of childhood cancer cases during 2015–2019. The whiskers display the respective minimum and maximum number of cancer cases by calendar month during 2015-2019.
Estimated age-standardised incidence rates of childhood cancer (ages 0 – 14 years and 0-17 years) in Germany in 2020, applying different hypothetical scenarios of additional cases due to late reporting.
| 0-14 years | 0-17 years | |||||||
|---|---|---|---|---|---|---|---|---|
| ASR | ASR | |||||||
| 2015-2019 | 2020 (SI) | 2020 (SII) | 2020 (SIII) | 2015-2019 | 2020 (SI) | 2020 (SII) | 2020 (SIII) | |
| 172.9 | 186.0 | 192.8 | 197.5 | 171.3 | 185.8 | 193.0 | 198.0 | |
| 55.2 | 61.2 | 62.3 | 63.8 | 51.5 | 56.9 | 57.9 | 59.4 | |
| 43.1 | 47.9 | 47.7 | 48.9 | 39.2 | 43.4 | 43.3 | 44.3 | |
| 21.2 | 23.4 | 22.9 | 23.4 | 26.1 | 29.1 | 28.8 | 29.7 | |
| 41.3 | 44.3 | 48.0 | 50.2 | 39.3 | 42.5 | 46.5 | 48.4 | |
| 55.2 | 57.0 | 58.5 | 60.3 | 54.4 | 57.2 | 58.9 | 60.7 | |
ASR: age-standardized incidence rate (using Segi World Standard Population) per 1,000,000 person-years.
Diagnostic groups defined using the International Classification of Childhood Cancer Third edition (ICCC-3). The group of non-CNS solid tumours includes ICCC-3 diagnostic groups IV to XII.
Age-standardized incidence rate per 1,000,000 person-years in 2015-2019. Incidence rates for 2015-2019 included all cases reported in the respective year or the subsequent year, cases reported only after the subsequent calendar year were neglected.
Scenario I: considering no additional cases due to late reporting after 15 March 2021.
Scenario II: considering the minimum proportion of additional cases due to late reporting (by diagnostic group) observed in 2015-2019. The minimum proportion of additional cases due to late reporting for childhood cancer at ages 0-14 years amounted to 12.5% for all cancers combined, 6.1% for leukaemias, 3.3% for lymphoid leukaemias, 10.4% for lymphomas, 20.1% for CNS tumours and 12.7% for non-CNS solid tumours. The minimum proportion of additional cases due to late reporting for childhood cancer at ages 0-17 years amounted to 12.5% for all cancers combined, 6.1% for leukaemias, 3.3% for lymphoid leukaemias, 8.8% for lymphomas, 21.2% for CNS tumours and 13.0% for non-CNS solid tumours.
Scenario III: considering the mean proportion of additional cases due to late reporting (by diagnostic group) observed in 2015-2019. The mean proportion of additional cases due to late reporting for childhood cancer at ages 0-14 years amounts to 15.2% for all cancers combined, 8.7% for leukaemias, 5.9% for lymphoid leukaemias, 13.1% for lymphomas, 25.5% for CNS tumours and 16.1% for non-CNS solid tumours. The mean proportion of additional cases due to late reporting for childhood cancer at ages 0-17 years amounts to 15.4% for all cancers combined, 9.0% for leukaemias, 5.8% for lymphoid leukaemias, 12.2% for lymphomas, 26.2% for CNS tumours and 16.4% for non-CNS solid tumours.
Main themes of the qualitative content analysis: diagnostic process, timeliness of diagnosis and delivery of healthcare among paediatric cancer patients as well as leverage points to strengthen services during the COVID-19 pandemic.
Stable numbers of children with suspected or confirmed cancer diagnosis; in contrast to substantial drops in children with minor conditions in some paediatric departments Rare delays due to delayed presentation at primary care paediatricians Prompt referral by primary care paediatricians to tertiary care facilities in case of suspected malignancies Minor delays in diagnostic work-up in few haematology-oncology units particularly for malignancies requiring complex diagnostic procedures Several reasons for delayed diagnostic work-up such as limited capacity for MRI and anaesthesia or precautionary measures such as mandatory SARS-CoV-2 testing prior to diagnostic procedures | |
Timely cancer treatment Limited psychosocial supportive care such as clown doctors or music therapy Reduced number of non-urgent appointments such as long-term follow-up care Restricted access for individuals accompanying patients and visitors Increased administrative and logistic workload for clinical staff due to mandatory SARS-CoV-2 testing in patients, regular symptom checks or cancellation and deferral of appointments (Relative) staff shortage due to absence of staff and in light of the increased workload Shortage of space to implement isolation measures Implementation and expansion of digital services such as telemedicine, virtual tumour boards or video conferences | |
Increased number of well-trained staff, particularly in overstrained areas such as anaesthesia or home care Increased number of nursing staff/improved nurse-patient ratio Reintroduction of paediatric nursing as a specialised track in nursing education Better working conditions in healthcare Larger facilities to better implement hygiene measures and to isolate SARS-CoV-2 positive patients Thorough implementation of SARS-CoV-2 related hygiene measures at the hospital level Expansion of digital services such as telemedicine, virtual tumour boards or video conferences |