Abstract
The comprehensive care and treatment for cancer patients in Brazil, regulated by the National Cancer Prevention and Control Policy, is provided by Brazilian Unified Healthcare System (SUS) in certified health institution. Due the COVID-19 pandemic, several restrictive measures have been implemented by the State federation's governments, and cancer diagnosis reference centers were also impacted by these measures. Thus, this study aimed to compare SUS-oriented cancer diagnosis in Brazil before and during the pandemic so far. The average number of cancer diagnoses has dropped considerably in all Brazilian Regions since the pandemic period started. The number of new cancer cases has plunged in all regions, ranged from −24.3% in the North to −42.7% in Northeast region. The overall Brazilian average deficit reached 35.5%, corresponding to about 15,000 undiagnosed cases of cancer monthly. The pandemic period has dramatically reduced the diagnosis of new cases of cancer in Brazil, since consultations in public health services were compromised by restrictive measures. Therefore, effective measures must be urgently put in action in order to minimize the damage, and consequently, the negative health impacts caused by the COVID-19 pandemic in the care of cancer patients.
Keywords: COVID-19, Cancer, Pandemics
Introduction
The coronavirus disease (COVID-19), caused by the virus SARS-CoV-2, was detected in Brazil on February 26, 2020 approximately 2 months after the first case have been reported in China. The first death by COVID-19 in Brazil occurred on March 17, 2020 when the disease had already turned into a pandemic [1]. The COVID-19 pandemic has severely impacted health systems worldwide [2], affecting the care of various chronic diseases, including cancer diagnosis and treatment [3], [4]. Recent studies have shown the effects of COVID-19 on health professionals' routinely responsible for diagnosing and treating patients with cancer [5], [6], [7], [8]. A set of security measures has been proposed to relieve this problem, even so it is an alarming situation [9], [10], [11].
Brazilian Unified Healthcare System
The Brazilian Unified Healthcare System (Sistema Único de Saúde, SUS) is the world largest universal healthcare system, funded by federal, state, and municipal resources and serves over 209,000 million inhabitants (https://censo2010.ibge.gov.br) (accessed in October 2020). Qualifying the service network and guaranteeing access to users is a daily challenge faced by SUS managers, whom, in 2011, developed the largest institutional evaluation program of its history, the Access and Quality Improvement Program (PMAQ) (http://189.28.128.100/dab/docs/portaldab/documentos/instrumento_ae_sb.pdf) (accessed in October 2020). SUS decentralization provided more focused evaluation of regional health problems and identified involved health determinants, thus allowing adequate management aimed at population needs.
These characteristics provide municipalities with more power and concomitant responsibility, which makes planning essential and situational, as opposed to the centralized and normative planning of public management in effect until 1990. However, due to daily work required demands, this practice is sometimes neglected and actions are improvised to solve emerging problems [11]. This management weakness limits our capacity to respond to critical cases, which is very heterogeneous across the 26 States and Federal District [1], [12]. Regarding oncology treatment, the National Cancer Prevention and Control Policy regulates comprehensive care for patients in a regionalized and decentralized way and ensures that cancer treatments administered by SUS are performed in certified health institutions as the High Complexity Assistance Unit in Oncology (UNACON) or the High Complexity Assistance Center in Oncology (CACON (https://www.inca.gov.br/onde-tratar-pelo-sus) (accessed in October 2020).
Effects of COVID-19 on public health assistance
Due to COVID-19, several restrictive measures have been implemented by the governments of the various states of federation, such as physical distancing, leisure areas, and closure of nonessential commerce in order to reduce the rate of contamination. Cancer diagnosis referral centers were also impacted by these measures [1], [3], [13], [14]. Interestingly, Alves et al (2020) [3] revealed a considerable reduction in follow-up and treatment consultations of oral cancer patients at 3 reference cancer centers located respectively in Brazil, Canada, and the United States, comparing the first 6 weeks of the restrictive measures with the 6 weeks prior to the pandemic period. Thus, the aim of this study was to compare SUS-oriented cancer diagnosis in Brazil before and during the pandemic to date.
Summary of literature
A computerized search was performed in the “PubMed” database. The research descriptors used were “CANCER,”, “COVID-19,” AND “DIAGNOSIS.” Two examiners reviewed the initial list of articles and applied inclusion criteria to determine the final sample of articles.
The inclusion criteria for selecting articles were studies that compared general cancer diagnosis data from the pandemic period with previous periods, published from March 2020, in English, with full text available. Studies that did not assess the pandemic period or were restricted to a specific single cancer type were excluded.
Initially, 163 articles were found using the descriptors. After reading the abstracts, 20 studies remained for analysis of inclusion criteria. Then, after reading the full text of these studies, only 5 articles [15], [16], [17], [18], [19] were selected for discussion in Table 1 .
Table 1.
Summary of literature about general cancer diagnosis in the COVID-19 pandemic compared to previous periods.
Author / Reference | Country | Data analyzed | Findings | Comment |
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De Vincentiis et al 2020 | Italy |
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Ferrara et al 2020 | Italy |
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Kaufman et al 2020 | USA |
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Maluchnik et al 2020 | Poland |
|
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Zadnik et al 2020 | Slovenia |
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Marques et al 2020 (Current study) | Brazil |
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Impact of COVID-19 on cancer diagnosis in Brazil
In order to assess the impact of the COVID-19 pandemic in Brazil, we compared the monthly average of new cancer cases diagnosed in 2019 to the monthly average of January–August of 2020, from the 5 geographic Regions of Brazil (North, Northeast, Southeast, South, and Midwest), representing the Brazilian States (26 States and the Federal District), through data extracted and analyzed from the public database of SUS (DATASUS)(http://tabnet.datasus.gov.br/cgi/dhdat.exe?PAINEL_ONCO/PAINEL_ONCOLOGIABR.def). In Brazil, mandatory notification of cancer began in 2018, with effect from 2019. Thus, searches carried out before 2019 are not representative (https://legis.senado.leg.br/norma/27410223) (accessed in October 2020).
Table 2 shows the negative impact from the COVID-19 pandemic in the diagnosis of cancer in Brazil. The average number of cancer diagnosis has dropped considerably in all Brazilian Regions since the pandemic period started. The number of new cancer cases has plunged in all regions, with the fall in new cancer diagnosis ranging from −24.3% in the North to −42.7% in Northeast region. The overall Brazilian average deficit reached 35.5%, corresponding to about 15,000 undiagnosed cases of cancer monthly. The long-term impact of these indicators on the diagnosis and treatment of cancer patients in the Brazilian population remains uncertain.
Table 2.
Difference between the monthly average of cancer diagnosis (excluding oral cancer), performed in all geographical Regions from Brazil of 2019 compared to January–August of 2020.
Regions of Brazil | 2019 (n) | 2020 (n) | Difference (n) (%) |
---|---|---|---|
North Northeast Southwest South Midwest Total |
1,454 10,113 17,688 10,276 2,654 42,186 |
1,101 5,798 11,560 7,102 1,655 27,218 |
−353 (24.3) −4,315 (42.7) −6,128 (34.6) −3,174 (30.9) −999 (37.6) −14,968 (35.5) |
Just as an example, when analyzing the situation of cancer in the country, the numbers are worrying, since the decrease of consultations. The number of new cases of cancer expected for Brazil for each year of the triennium 2020–2022 would be 387,980 cases in men and 297,980 in women. These values correspond to an estimated risk of 371.11 new cases per 100,000 men, and for women, it corresponds to 277.11 for every 100,000 (https://www.inca.gov.br/estimativa).
Brazil has seen approximately 6.2 million cases of COVID-19 and over 172,500 deaths currently (November 28, 2020) (https://covid.saude.gov.br/), and the end of the pandemic cannot yet be predicted, which leads us to believe that more patients undergoing cancer treatment or undiagnosed cases will still be affected by this critical period. One of the best alternative care approaches for patients with cancer during the COVID-19 pandemic is the telemedicine practice, which was recently regularized in Brazil. This approach allows communication at a distance between health professionals, assisting in diagnosis and case discussions [20].
Conclusion
The pandemic period has dramatically reduced the diagnosis of new cases of cancer in Brazil, possibly due to the restrictive measures including limitation of consultations in public health services. Therefore, effective measures must be urgently put in action in order to minimize the damage, and consequently, the negative health impacts caused by the COVID-19 pandemic in the care of cancer patients.
Author contribution
Nelson Pereira Marques: Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Roles/Writing - original draft; Writing - review & editing. Denise Maria M. Silveira: Conceptualization; Data curation; Formal analysis; Methodology. Nádia Carolina Teixeira Marques: Formal analysis; Investigation; Methodology; Writing - review & editing. Daniella Reis Barbosa Martelli: Conceptualization; Formal analysis; Writing - review & editing. Eduardo A. Oliveira: Formal analysis; Investigation; Methodology; Writing - review & editing. Hercílio Martelli-Júnior: Conceptualization; Formal analysis; Methodology; Project administration; Supervision; Roles/Writing - original draft; Writing - review & editing.
All authors have contributed to writing and reviewing of the manuscript. All authors approved the final manuscript. NM and HMJ contributed to conceptualization. All authors contributed to collection of included papers.
Conflicts of interest
Authors do not have any commercial or financial conflict of interest.
Acknowledgements
The authors would like to thank State Research Foundation-FAPEMIG, Minas Gerais, Brazil, the National Council for Scientific and Technological Development - CNPq, Brazil, and the Coordination for the Improvement of Higher Education Personnel, CAPES, Brazil.
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
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