Author
Listed:
- 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)
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.
Suggested Citation
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 Pe, 2024.
"Relationship between Screening, Diagnostic Mammograms, Hospital Admissions, and Mortality Rates from Breast Cancer,"
IJERPH, MDPI, vol. 21(8), pages 1-8, July.
Handle:
RePEc:gam:jijerp:v:21:y:2024:i:8:p:1006-:d:1446539
Download full text from publisher
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:1006-:d:1446539. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.