Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos

Detalhes bibliográficos
Ano de defesa: 2022
Autor(a) principal: Jardim, Beatriz Cordeiro lattes
Orientador(a): Silva, Gulnar Azevedo e
Banca de defesa: Caetano, Rosângela, Curado, Maria Paula, Teixeira, Maria Teresa Bustamante, Wünsch Filho, Victor
Tipo de documento: Tese
Tipo de acesso: Acesso embargado
Idioma: por
Instituição de defesa: Universidade do Estado do Rio de Janeiro
Programa de Pós-Graduação: Programa de Pós-Graduação em Saúde Coletiva
Departamento: Centro Biomédico::Instituto de Medicina Social Hesio Cordeiro
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://www.bdtd.uerj.br/handle/1/18614
Resumo: This thesis aimed to estimate the need for radiotherapy in Brazil based on local epidemiological data. The study was developed in two stages which consisted of estimating incident cases and, later, classifying the cases registered in the Hospital Cancer Registries (RHC) to integrate decision trees for the use of radiotherapy according to evidence and clinical treatment guidelines. The estimates of incident cases in 2018 were calculated based on data from Population-Based Cancer Registries (RCBP) selected according to international quality criteria and from data corrected for ill-defined and non-specific causes in the underlying cause of deaths recorded in the System of Mortality Information (SIM) from 2007 to 2016. Annual incidence/mortality ratios (I/M) were calculated for each topography, stratified by sex and age group in the selected RCBP. The I/M ratios for 2018 were estimated for Brazilian regions using multilevel Poisson models from a longitudinal approach with random effect on the RCBP. The estimated reasons were applied to the number of deaths that occurred in 2018 by type of cancer, also corrected for ill-defined and non-specific causes in the underlying cause, recorded in the SIM. The staging data distributions obtained from the RHC were combined with the relative frequencies by type of incident cancer and data from the Collaboration for Cancer Outcomes Research and Evaluation (CCORE) project decision trees for radiotherapy use. Optimal utilization rates were estimated by type of cancer and for the set of tumors, except for non-melanoma skin. Sensitivity analyzes were performed to assess the relevance of local data in estimating the need. The number of radiotherapy equipment needed to attend to cases that would benefit from treatment at some point in the course of the disease was calculated and the analysis of the offer coverage was performed. For Brazil, in 2018, 506,462 new cases of cancer were estimated, except for non-melanoma skin. Regional differences in I/M ratios and in the pattern of incident cases were identified, which may be related to socioeconomic factors. It was estimated that 53.55% of new cases in Brazil would need radiotherapy. The greatest need for radiotherapy was identified for the North: 55.32%, with an expressive weight of cervical cancer, both in terms of incidence and the number of cases in advanced stages, for which radiotherapy is considered the treatment of choice. To meet the need for radiotherapy in Brazil, 497 external radiotherapy equipment were estimated, with an estimated deficit of 114 for 2018 in the country. The greatest deficits were observed for the North and for the SUS care network. In conclusion, the use of international parameters was not adequate for the Brazilian reality. The planning of resources for cancer care in Brazil requires reliable estimates based on local needs so that inequities are not further aggravated.
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spelling Silva, Gulnar Azevedo eCaetano, RosângelaCurado, Maria PaulaTeixeira, Maria Teresa BustamanteWünsch Filho, Victorhttp://lattes.cnpq.br/04701197524275555Jardim, Beatriz Cordeiro2022-11-07T17:14:20Z2024-11-042022-09-28JARDIM, Beatriz Cordeiro. Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos. 2022. 171 f. Tese (Doutorado em Saúde Coletiva) - Instituto de Medicina Social Hesio Codeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2022.http://www.bdtd.uerj.br/handle/1/18614This thesis aimed to estimate the need for radiotherapy in Brazil based on local epidemiological data. The study was developed in two stages which consisted of estimating incident cases and, later, classifying the cases registered in the Hospital Cancer Registries (RHC) to integrate decision trees for the use of radiotherapy according to evidence and clinical treatment guidelines. The estimates of incident cases in 2018 were calculated based on data from Population-Based Cancer Registries (RCBP) selected according to international quality criteria and from data corrected for ill-defined and non-specific causes in the underlying cause of deaths recorded in the System of Mortality Information (SIM) from 2007 to 2016. Annual incidence/mortality ratios (I/M) were calculated for each topography, stratified by sex and age group in the selected RCBP. The I/M ratios for 2018 were estimated for Brazilian regions using multilevel Poisson models from a longitudinal approach with random effect on the RCBP. The estimated reasons were applied to the number of deaths that occurred in 2018 by type of cancer, also corrected for ill-defined and non-specific causes in the underlying cause, recorded in the SIM. The staging data distributions obtained from the RHC were combined with the relative frequencies by type of incident cancer and data from the Collaboration for Cancer Outcomes Research and Evaluation (CCORE) project decision trees for radiotherapy use. Optimal utilization rates were estimated by type of cancer and for the set of tumors, except for non-melanoma skin. Sensitivity analyzes were performed to assess the relevance of local data in estimating the need. The number of radiotherapy equipment needed to attend to cases that would benefit from treatment at some point in the course of the disease was calculated and the analysis of the offer coverage was performed. For Brazil, in 2018, 506,462 new cases of cancer were estimated, except for non-melanoma skin. Regional differences in I/M ratios and in the pattern of incident cases were identified, which may be related to socioeconomic factors. It was estimated that 53.55% of new cases in Brazil would need radiotherapy. The greatest need for radiotherapy was identified for the North: 55.32%, with an expressive weight of cervical cancer, both in terms of incidence and the number of cases in advanced stages, for which radiotherapy is considered the treatment of choice. To meet the need for radiotherapy in Brazil, 497 external radiotherapy equipment were estimated, with an estimated deficit of 114 for 2018 in the country. The greatest deficits were observed for the North and for the SUS care network. In conclusion, the use of international parameters was not adequate for the Brazilian reality. The planning of resources for cancer care in Brazil requires reliable estimates based on local needs so that inequities are not further aggravated.Esta tese teve como objetivo estimar a necessidade de radioterapia no Brasil a partir de dados epidemiológicos locais. O estudo foi desenvolvido em duas etapas que consistiram na estimativa de casos incidentes e, posteriormente, na classificação dos casos registrados nos Registros Hospitalares de Câncer (RHC) para integrar as árvores de decisão para o emprego do tratamento radioterápico conforme evidências e diretrizes clínicas de tratamento. As estimativas de casos incidentes em 2018 foram calculadas a partir de dados de Registros de Câncer de Base Populacional (RCBP) selecionados de acordo com critérios internacionais de qualidade e de dados corrigidos para causas mal definidas e não específicas na causa básica dos óbitos registrados no Sistema de Informação de Mortalidade (SIM) no período de 2007 a 2016. Foram calculadas razões de incidência/mortalidade (I/M) anuais para cada topografia, estratificadas por sexo e faixa etária nos RCBP selecionados. As razões I/M para 2018 foram estimadas para as regiões brasileiras a partir de modelos multiníveis de Poisson a partir de uma abordagem longitudinal com efeito aleatório no RCBP. As razões estimadas foram aplicadas ao número de óbitos ocorridos em 2018 por tipo de câncer, também corrigido para causas mal definidas e não específicas na causa básica, registrados no SIM. As distribuições dos dados por estadiamento obtidas a partir do RHC foram combinadas às frequências relativas por tipo de câncer incidente e aos dados das árvores de decisão do projeto Collaboration for Cancer Outcomes Research and Evaluation (CCORE) para uso da radioterapia. As estimativas de necessidade foram calculadas por tipo de câncer e para o conjunto das neoplasias, exceto pele não melanoma. Foram realizadas análises de sensibilidade para avaliar a relevância dos dados locais na estimativa de necessidade. O número necessário de equipamentos de radioterapia para atender os casos que se beneficiariam do tratamento em algum momento no curso da doença foi calculado e a análise da cobertura da oferta foi realizada. Para o Brasil, em 2018, foram estimados 506.462 casos novos de câncer, exceto pele não melanoma. Diferenças regionais nas razões I/M e no padrão de casos incidentes foram identificadas, podendo estar relacionadas a fatores socioeconômicos. Foi estimado que 53,55% dos casos novos no Brasil teriam necessidade de tratamento radioterápico. A maior necessidade de radioterapia foi identificada para o Norte: 55,32%, com um peso expressivo do câncer do colo do útero, tanto pela incidência como pelo número de casos em estágios avançados, para os quais a radioterapia é considerada tratamento de escolha. Para atender aos casos com necessidade de radioterapia no Brasil, foram estimados 497 equipamentos de radioterapia externa, sendo o déficit estimado em 114 para 2018 no país. Os maiores déficits foram observados para o Norte e para a rede assistencial do SUS. Em conclusão, o emprego de parâmetros internacionais não se mostrou adequado para a realidade brasileira. O planejamento de recursos para a assistência oncológica no Brasil demanda estimativas confiáveis baseadas nas necessidades locais para que as inequidades não sejam ainda mais agravadas.Submitted by Marcia CB/C (marciagraziadio@yahoo.com.br) on 2022-11-07T17:14:20Z No. of bitstreams: 2 Tese - Beatriz Cordeiro Jardim - 2022 - Completa.pdf: 2126592 bytes, checksum: ea8f0d21d80dd074c65641422ce99dcb (MD5) Tese - Beatriz Cordeiro Jardim - 2022 - Parcial.pdf: 405735 bytes, checksum: 1f6e55ba9aeadeaa36fd2981af20513d (MD5)Made available in DSpace on 2022-11-07T17:14:20Z (GMT). No. of bitstreams: 2 Tese - Beatriz Cordeiro Jardim - 2022 - Completa.pdf: 2126592 bytes, checksum: ea8f0d21d80dd074c65641422ce99dcb (MD5) Tese - Beatriz Cordeiro Jardim - 2022 - Parcial.pdf: 405735 bytes, checksum: 1f6e55ba9aeadeaa36fd2981af20513d (MD5) Previous issue date: 2022-09-28application/pdfporUniversidade do Estado do Rio de JaneiroPrograma de Pós-Graduação em Saúde ColetivaUERJBrasilCentro Biomédico::Instituto de Medicina Social Hesio CordeiroRadiotherapyEstimatesOptimal utilizationIncidenceStageBrazilRadioterapiaEstimativaNecessidadesIncidênciaEstadiamentoBrasilCIENCIAS DA SAUDE::SAUDE COLETIVAEstimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicosOptimal utilization of radiotherapy in Brazil according to local epidemiological datainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/embargoedAccessreponame:Biblioteca Digital de Teses e Dissertações da UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJORIGINALTese - Beatriz Cordeiro Jardim - 2022 - Completa.pdfTese - Beatriz Cordeiro Jardim - 2022 - Completa.pdfapplication/pdf2126592http://www.bdtd.uerj.br/bitstream/1/18614/2/Tese+-+Beatriz+Cordeiro+Jardim+-+2022+-+Completa.pdfea8f0d21d80dd074c65641422ce99dcbMD52Tese - Beatriz Cordeiro Jardim - 2022 - Parcial.pdfTese - Beatriz Cordeiro Jardim - 2022 - Parcial.pdfapplication/pdf405735http://www.bdtd.uerj.br/bitstream/1/18614/3/Tese+-+Beatriz+Cordeiro+Jardim+-+2022+-+Parcial.pdf1f6e55ba9aeadeaa36fd2981af20513dMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-82123http://www.bdtd.uerj.br/bitstream/1/18614/1/license.txte5502652da718045d7fcd832b79fca29MD511/186142024-02-26 20:20:38.958oai:www.bdtd.uerj.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.bdtd.uerj.br/PUBhttps://www.bdtd.uerj.br:8443/oai/requestbdtd.suporte@uerj.bropendoar:29032024-02-26T23:20:38Biblioteca Digital de Teses e Dissertações da UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false
dc.title.por.fl_str_mv Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
dc.title.alternative.eng.fl_str_mv Optimal utilization of radiotherapy in Brazil according to local epidemiological data
title Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
spellingShingle Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
Jardim, Beatriz Cordeiro
Radiotherapy
Estimates
Optimal utilization
Incidence
Stage
Brazil
Radioterapia
Estimativa
Necessidades
Incidência
Estadiamento
Brasil
CIENCIAS DA SAUDE::SAUDE COLETIVA
title_short Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
title_full Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
title_fullStr Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
title_full_unstemmed Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
title_sort Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos
author Jardim, Beatriz Cordeiro
author_facet Jardim, Beatriz Cordeiro
author_role author
dc.contributor.advisor1.fl_str_mv Silva, Gulnar Azevedo e
dc.contributor.referee1.fl_str_mv Caetano, Rosângela
dc.contributor.referee2.fl_str_mv Curado, Maria Paula
dc.contributor.referee3.fl_str_mv Teixeira, Maria Teresa Bustamante
dc.contributor.referee4.fl_str_mv Wünsch Filho, Victor
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/04701197524275555
dc.contributor.author.fl_str_mv Jardim, Beatriz Cordeiro
contributor_str_mv Silva, Gulnar Azevedo e
Caetano, Rosângela
Curado, Maria Paula
Teixeira, Maria Teresa Bustamante
Wünsch Filho, Victor
dc.subject.eng.fl_str_mv Radiotherapy
Estimates
Optimal utilization
Incidence
Stage
Brazil
topic Radiotherapy
Estimates
Optimal utilization
Incidence
Stage
Brazil
Radioterapia
Estimativa
Necessidades
Incidência
Estadiamento
Brasil
CIENCIAS DA SAUDE::SAUDE COLETIVA
dc.subject.por.fl_str_mv Radioterapia
Estimativa
Necessidades
Incidência
Estadiamento
Brasil
dc.subject.cnpq.fl_str_mv CIENCIAS DA SAUDE::SAUDE COLETIVA
description This thesis aimed to estimate the need for radiotherapy in Brazil based on local epidemiological data. The study was developed in two stages which consisted of estimating incident cases and, later, classifying the cases registered in the Hospital Cancer Registries (RHC) to integrate decision trees for the use of radiotherapy according to evidence and clinical treatment guidelines. The estimates of incident cases in 2018 were calculated based on data from Population-Based Cancer Registries (RCBP) selected according to international quality criteria and from data corrected for ill-defined and non-specific causes in the underlying cause of deaths recorded in the System of Mortality Information (SIM) from 2007 to 2016. Annual incidence/mortality ratios (I/M) were calculated for each topography, stratified by sex and age group in the selected RCBP. The I/M ratios for 2018 were estimated for Brazilian regions using multilevel Poisson models from a longitudinal approach with random effect on the RCBP. The estimated reasons were applied to the number of deaths that occurred in 2018 by type of cancer, also corrected for ill-defined and non-specific causes in the underlying cause, recorded in the SIM. The staging data distributions obtained from the RHC were combined with the relative frequencies by type of incident cancer and data from the Collaboration for Cancer Outcomes Research and Evaluation (CCORE) project decision trees for radiotherapy use. Optimal utilization rates were estimated by type of cancer and for the set of tumors, except for non-melanoma skin. Sensitivity analyzes were performed to assess the relevance of local data in estimating the need. The number of radiotherapy equipment needed to attend to cases that would benefit from treatment at some point in the course of the disease was calculated and the analysis of the offer coverage was performed. For Brazil, in 2018, 506,462 new cases of cancer were estimated, except for non-melanoma skin. Regional differences in I/M ratios and in the pattern of incident cases were identified, which may be related to socioeconomic factors. It was estimated that 53.55% of new cases in Brazil would need radiotherapy. The greatest need for radiotherapy was identified for the North: 55.32%, with an expressive weight of cervical cancer, both in terms of incidence and the number of cases in advanced stages, for which radiotherapy is considered the treatment of choice. To meet the need for radiotherapy in Brazil, 497 external radiotherapy equipment were estimated, with an estimated deficit of 114 for 2018 in the country. The greatest deficits were observed for the North and for the SUS care network. In conclusion, the use of international parameters was not adequate for the Brazilian reality. The planning of resources for cancer care in Brazil requires reliable estimates based on local needs so that inequities are not further aggravated.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-11-07T17:14:20Z
dc.date.issued.fl_str_mv 2022-09-28
dc.date.available.fl_str_mv 2024-11-04
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
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dc.identifier.citation.fl_str_mv JARDIM, Beatriz Cordeiro. Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos. 2022. 171 f. Tese (Doutorado em Saúde Coletiva) - Instituto de Medicina Social Hesio Codeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2022.
dc.identifier.uri.fl_str_mv http://www.bdtd.uerj.br/handle/1/18614
identifier_str_mv JARDIM, Beatriz Cordeiro. Estimativa da necessidade de radioterapia externa no Brasil baseada em critérios epidemiológicos. 2022. 171 f. Tese (Doutorado em Saúde Coletiva) - Instituto de Medicina Social Hesio Codeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, 2022.
url http://www.bdtd.uerj.br/handle/1/18614
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dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Saúde Coletiva
dc.publisher.initials.fl_str_mv UERJ
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Centro Biomédico::Instituto de Medicina Social Hesio Cordeiro
publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
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