Bed demand and occupancy within the Brazilian National Health System for the most common types of cancer in Brazil, from 2018 to 2021: a cross-sectional study.

IF 2.5 Q1 Multidisciplinary
Epidemiologia e Servicos de Saude Pub Date : 2024-08-23 eCollection Date: 2024-01-01 DOI:10.1590/S2237-96222024v33e20231172.en
Mariana Araujo Neves Lima, Daniel Antunes Maciel Villela
{"title":"Bed demand and occupancy within the Brazilian National Health System for the most common types of cancer in Brazil, from 2018 to 2021: a cross-sectional study.","authors":"Mariana Araujo Neves Lima, Daniel Antunes Maciel Villela","doi":"10.1590/S2237-96222024v33e20231172.en","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To analyze bed demand and occupancy within the Brazilian National Health System (Sistema Único de Saúde - SUS) for the main types of cancer in Brazil, from 2018 to 2021.</p><p><strong>Methods: </strong>This was a descriptive cross-sectional study, using data from the Hospital Information System. Queuing theory model was used for calculating average admission rate, average hospitalization rate, probability of overload, and average number of people in the queue.</p><p><strong>Results: </strong>The Southeast and South regions showed the highest average hospitalization rates, while the North region showed the lowest rates. The Southeast region presented a high probability of surgical bed overload, especially in the states of São Paulo (99.0%), Minas Gerais (97.0%) and Rio de Janeiro (97.0%). São Paulo state showed an overload above 95.0% in all types of beds analyzed.</p><p><strong>Conclusion: </strong>There was a high probability of oncology bed occupancy within the Brazilian National Health System, especially surgical and medical beds, and regional disparities in bed overload.</p><p><strong>Main results: </strong>The study found a high demand for hospital admissions to oncological bed in the Southeast region and a high probability of system overload in the states of the Southeast and Northeast regions of Brazil, thus highlighting the inequities in access to healthcare services in the country.</p><p><strong>Implications for services: </strong>This study presents a methodology for the improved allocation of resources and management of surgical and medical bed flows in areas with the highest bed overload and regions with low service availability.</p><p><strong>Perspectives: </strong>It is necessary to promote public policies that ensure the equitable supply of beds for oncological treatment within the SUS, especially in states with bed overload and healthcare service gaps.</p>","PeriodicalId":51473,"journal":{"name":"Epidemiologia e Servicos de Saude","volume":"33 ","pages":"e20231172"},"PeriodicalIF":2.5000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11348741/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemiologia e Servicos de Saude","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1590/S2237-96222024v33e20231172.en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To analyze bed demand and occupancy within the Brazilian National Health System (Sistema Único de Saúde - SUS) for the main types of cancer in Brazil, from 2018 to 2021.

Methods: This was a descriptive cross-sectional study, using data from the Hospital Information System. Queuing theory model was used for calculating average admission rate, average hospitalization rate, probability of overload, and average number of people in the queue.

Results: The Southeast and South regions showed the highest average hospitalization rates, while the North region showed the lowest rates. The Southeast region presented a high probability of surgical bed overload, especially in the states of São Paulo (99.0%), Minas Gerais (97.0%) and Rio de Janeiro (97.0%). São Paulo state showed an overload above 95.0% in all types of beds analyzed.

Conclusion: There was a high probability of oncology bed occupancy within the Brazilian National Health System, especially surgical and medical beds, and regional disparities in bed overload.

Main results: The study found a high demand for hospital admissions to oncological bed in the Southeast region and a high probability of system overload in the states of the Southeast and Northeast regions of Brazil, thus highlighting the inequities in access to healthcare services in the country.

Implications for services: This study presents a methodology for the improved allocation of resources and management of surgical and medical bed flows in areas with the highest bed overload and regions with low service availability.

Perspectives: It is necessary to promote public policies that ensure the equitable supply of beds for oncological treatment within the SUS, especially in states with bed overload and healthcare service gaps.

2018 至 2021 年巴西国家医疗系统内最常见癌症类型的病床需求和占用情况:一项横断面研究。
摘要分析 2018 年至 2021 年巴西国家卫生系统(SUS)内主要癌症类型的床位需求和占用情况:这是一项描述性横断面研究,使用的数据来自医院信息系统。使用排队理论模型计算平均入院率、平均住院率、超负荷概率和排队平均人数:结果:东南部和南部地区的平均住院率最高,北部地区最低。东南部地区手术床位超负荷的概率很高,尤其是在圣保罗州(99.0%)、米纳斯吉拉斯州(97.0%)和里约热内卢州(97.0%)。圣保罗州在分析的所有病床类型中,超负荷率均超过95.0%:结论:在巴西国家卫生系统中,肿瘤病床的占用率很高,尤其是外科和内科病床,而且各地区在病床超负荷方面存在差异:主要结果:研究发现,巴西东南部地区对肿瘤病床的入院需求很高,东南部和东北部地区各州的系统超负荷概率也很高,从而凸显了巴西在获得医疗服务方面存在的不公平现象:本研究提出了一种方法,可用于改善资源分配,以及在床位超负荷最严重的地区和服务可用性较低的地区管理外科和内科床位流:有必要推广公共政策,确保统一卫生系统内肿瘤治疗床位的公平供应,尤其是在床位超负荷和医疗服务存在缺口的各州。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Epidemiologia e Servicos de Saude
Epidemiologia e Servicos de Saude PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
4.90
自引率
0.00%
发文量
88
审稿时长
21 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信