Modelo de simulação para estimar a infraestrutura necessária à assistência oncológica no sistema público de saúde.
Objective. To develop a simulation model using public data to estimate the cancer care infrastructure required by the public health system in the state of São Paulo, Brazil. Method. Public data from the Unified Health System database regarding cancer surgery, chemotherapy, and radiation therapy, fro...
| Publicado en: | Pan American Journal of Public Health Vol. 25; no. 2; pp. 113 - 120 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Pan American Health Organization
Feb2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=510765476&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 510765476 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10204989 I3S jtl: Pan American Journal of Public Health issn: 10204989 maglogo: N pubinfo: dt: Feb2009 vid: 25 iid: 2 pid: 13497 pub: Pan American Health Organization artinfo: ui: 510765476 10.1590/S1020-49892009000200003 ppf: 113 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.6MB tig: atl: Modelo de simulação para estimar a infraestrutura necessária à assistência oncológica no sistema público de saúde. aug: au: Gomes Junior, Saint Clair Santos Almeida, Rosimary Terezinha su: Cancer patient care Simulation methods & models sug: subj: Cancer patient care Simulation methods & models ab: Objective. To develop a simulation model using public data to estimate the cancer care infrastructure required by the public health system in the state of São Paulo, Brazil. Method. Public data from the Unified Health System database regarding cancer surgery, chemotherapy, and radiation therapy, from January 2002-January 2004, were used to estimate the number of cancer cases in the state. The percentages recorded for each therapy in the Hospital Cancer Registry of Brazil were combined with the data collected from the database to estimate the need for services. Mixture models were used to identify subgroups of cancer cases with regard to the length of time that chemotherapy and radiation therapy were required. A simulation model was used to estimate the infrastructure required taking these parameters into account. Results. The model indicated the need for surgery in 52.5% of the cases, radiation therapy in 42.7%, and chemotherapy in 48.5%. The mixture models identified two subgroups for radiation therapy and four subgroups for chemotherapy with regard to mean usage time for each. These parameters allowed the following estimated infrastructure needs to be made: 147 operating rooms, 2653 operating beds, 297 chemotherapy chairs, and 102 radiation therapy devices. These estimates suggest the need for a 1.2-fold increase in the number of chemotherapy services and a 2.4-fold increase in the number of radiation therapy services when compared with the parameters currently used by the public health system. Conclusion. A simulation model, such as the one used in the present study, permits better distribution of health care resources because it is based on specific, local needs. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: Portuguese refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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