Relationship between Screening, Diagnostic Mammograms, Hospital Admissions, and Mortality Rates from Breast Cancer

Kely Paviani Stevanato (), Helena Fiats Ribeiro, Lander dos Santos, Fernando Castilho Pelloso, Pedro Beraldo Borba, Deise Helena Pelloso Borghesan, Maria Dalva de Barros Carvalho, Raíssa Bocchi Pedroso, Constanza Pujals and Sandra Marisa Pelloso
Additional contact information
Kely Paviani Stevanato: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil
Helena Fiats Ribeiro: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil
Lander dos Santos: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil
Fernando Castilho Pelloso: Secretary Health Curitiba, Curitiba 80060-240, Brazil
Pedro Beraldo Borba: Department of Medicine, University of Marilia-UNIMAR, Marilia 17525-902, Brazil
Deise Helena Pelloso Borghesan: Department of Aesthetics and Cosmetics, Catholic College of Mato Grosso, Várzea Grande 78070-200, Brazil
Maria Dalva de Barros Carvalho: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil
Raíssa Bocchi Pedroso: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil
Constanza Pujals: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil
Sandra Marisa Pelloso: Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil

IJERPH, 2024, vol. 21, issue 8, 1-8

Abstract: Background: Breast cancer is the most common type of cancer worldwide. If diagnosed and treated early, it has a high chance of cure, and for this, screening tests are necessary, namely mammograms, which are the most commonly used. The objective of this study was to analyze the association between the number of screening and diagnostic mammograms and the number of hospitalizations and deaths from breast cancer. Methods: This is a cross-sectional, analytical, retrospective study with secondary data made available by the Ministry of Health. Pearson correlation analysis was employed to assess whether the number of mammograms is associated with the number of deaths and hospitalizations, Poisson regression was used to assess whether an increase in the number of mammograms and hospitalizations is related to the number of deaths, and the Cox–Stuart test was used to analyze the temporal trend of the variables under study and the projection of time series. Results: There was a strong positive correlation for all age groups when relating the variables hospitalizations and deaths, a moderate-to-strong correlation for the variables mammography and hospitalization, and a weak correlation for the variables mammography and death. There was no statistical significance in the relationship between the number of mammograms and deaths, whereas the hospitalization variable had a significant impact in relation to death, increasing the chance by 0.015%. There has also been a significant growth trend in the variables deaths and hospitalizations in Brazil over the years. Conclusions: A growing trend was identified from 2013 to 2021, both in hospitalizations and deaths, thus suggesting that strategies aimed at reformulating public health policies are necessary for earlier diagnosis in order to improve the treatment of breast cancer and the prognosis of the disease.

Keywords: breast cancer; diagnosis; hospitalization; death; tracking (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/21/8/1006/pdf (application/pdf)
https://www.mdpi.com/1660-4601/21/8/1006/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:21:y:2024:i:8:p:1006-:d:1446539

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().