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巴西良性乳腺疾病护理概况与地理空间分析。

Brazil's benign breast disease care profile and geospatial analysis.

作者信息

Sansone Dayan, Farah Daniela, Nazario Afonso Celso Pinto, Fonseca Marcelo Cunio Machado

机构信息

Department of Gynecology, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

Department of Gynecology, Health Technologies Assessment Center, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

出版信息

Einstein (Sao Paulo). 2025 Apr 7;23:eAO1132. doi: 10.31744/einstein_journal/2025AO1132. eCollection 2025.

DOI:10.31744/einstein_journal/2025AO1132
PMID:40197879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12014158/
Abstract

BACKGROUND

We conducted a quantitative and geospatial analysis of coverage and displacement for the diagnosis and treatment of benign breast illnesses in Brazil's Unified Health System between 2008 and 2019. The results showed that treatment coverage and female displacement differed by region. The North and Midwest have different coverage and displacement rates compared with the other three major regions of the country. These findings demonstrate the importance of addressing gaps in healthcare service access, irrespective of their source, by enhancing the service capacity of existing institutions and ensuring that the healthcare system appropriately allocates resources.

OBJECTIVE

To quantitatively and geospatially analyze coverage and displacement for the diagnosis and treatment of benign breast diseases in the Brazilian Unified Health System between 2008 and 2019.

METHODS

Datasets from the Brazilian Ministry of Health were used to survey medical care for benign breast diseases in Brazil from 2008 to 2019. These data allowed for the determination of benign breast disease treatments, diagnoses, and patient displacement in each region of the country.

RESULTS

Most outpatient consultations were for diagnostic procedures. Approximately 4 million diagnostic procedures and 360,000 hospitalizations for treatment, of which 97% were surgeries, were conducted in this 12-year period. During this period, medical care for benign breast diseases cost more than USD 65 million. The treatment coverage and displacement rates of the female population differed by country region, with the North and Midwest showing patterns different from those of the other three major regions.

CONCLUSION

Addressing disparities in healthcare service access, regardless of their source, by increasing the service capacity of existing facilities and ensuring correct resource allocation by the healthcare system is crucial.

BACKGROUND

■ Most outpatient consultations comprised diagnostic procedures.

BACKGROUND

■ In the past 12 years, medical care for benign breast diseases has cost >USD 65 million.

BACKGROUND

■ Women from North and Midwest Brazil had higher diagnosis and treatment displacement rates.

摘要

背景

我们对2008年至2019年巴西统一卫生系统中良性乳腺疾病的诊断和治疗覆盖率及患者流动情况进行了定量和地理空间分析。结果显示,治疗覆盖率和女性患者流动情况因地区而异。与该国其他三个主要地区相比,北部和中西部地区的覆盖率和流动率有所不同。这些发现表明,通过提高现有机构的服务能力并确保医疗系统合理分配资源,解决医疗服务可及性方面的差距至关重要,无论这些差距源于何处。

目的

对2008年至2019年巴西统一卫生系统中良性乳腺疾病的诊断和治疗覆盖率及患者流动情况进行定量和地理空间分析。

方法

使用巴西卫生部的数据集调查2008年至2019年巴西良性乳腺疾病的医疗情况。这些数据可用于确定该国各地区的良性乳腺疾病治疗、诊断及患者流动情况。

结果

大多数门诊咨询是用于诊断程序。在这12年期间,共进行了约400万次诊断程序和36万次住院治疗,其中97%为手术治疗。在此期间,良性乳腺疾病的医疗费用超过6500万美元。女性人群的治疗覆盖率和流动率因国家地区而异,北部和中西部地区呈现出与其他三个主要地区不同的模式。

结论

通过提高现有设施的服务能力并确保医疗系统正确分配资源来解决医疗服务可及性方面的差距至关重要,无论这些差距源于何处。

背景

■ 大多数门诊咨询包括诊断程序。

背景

■ 在过去12年中,良性乳腺疾病的医疗费用超过6500万美元。

背景

■ 巴西北部和中西部的女性诊断和治疗流动率较高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/e175e69d912a/2317-6385-eins-23-eAO1132-gf05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/228ae18bfd35/2317-6385-eins-23-eAO1132-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/d5d79c681b51/2317-6385-eins-23-eAO1132-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/e02547594daa/2317-6385-eins-23-eAO1132-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/3bba5da3cf18/2317-6385-eins-23-eAO1132-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/e175e69d912a/2317-6385-eins-23-eAO1132-gf05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/228ae18bfd35/2317-6385-eins-23-eAO1132-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/d5d79c681b51/2317-6385-eins-23-eAO1132-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/e02547594daa/2317-6385-eins-23-eAO1132-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/3bba5da3cf18/2317-6385-eins-23-eAO1132-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1e/12014158/e175e69d912a/2317-6385-eins-23-eAO1132-gf05.jpg

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