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Treatment delays among women with breast cancer in a low socio-economic status region in Brazil

Overview of attention for article published in BMC Women's Health, February 2017
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116 Mendeley
Title
Treatment delays among women with breast cancer in a low socio-economic status region in Brazil
Published in
BMC Women's Health, February 2017
DOI 10.1186/s12905-016-0359-6
Pubmed ID
Authors

Naidhia Alves Soares Ferreira, Sionara Melo Figueiredo de Carvalho, Vitor Engrácia Valenti, Italla Maria Pinheiro Bezerra, Hermes Melo Teixeira Batista, Luiz Carlos de Abreu, Leandro Luongo Matos, Fernando Adami

Abstract

Considering the inequalities and the areas of low socioeconomic status in Brazil, access to health services is a challenge and the delay between diagnosis and treatment represents an important factor of worse prognosis in patients with breast cancer. Herein, we describe the clinical and epidemiological profiles of women with breast cancer and evaluate their access to health services, as well as treatment delays, at a reference centre of the Cariri region, Ceará, Brazil. This is a retrospective study that included 473 women treated with breast cancer between 2009 and 2011 at the Oncology Centre of the Cariri. The majority of these patients were aged between 40 and 69 years old (65.7%), without a completed high school degree (89.2%). They were married (62.9%) and were already diagnosed but had not yet been subjected to any previous treatment (77.8%). It was observed that 91.8% were referred from the public health service, and treatment was paid for by the public health service in 92.9% of the cases. The patients whose source of referral was the public system waited longer between diagnosis and the treatment initiation (p = 0.031; Mann-Whitney's test), with a median waiting time of 71.5 days versus 39 days for those receiving referrals from private services. In addition, those with public referrals prior to diagnosis also experienced a longer waiting time between the first medical visit and treatment initiation (77 days vs. 37 days; p = 0.036; Mann-Whitney's test), with the waiting time for the biopsy being an important factor in this delay. Late diagnosis was often the result of inefficiency of the prevention policies coupled with difficulty accessing the public health network. It was commonly observed that, even after diagnosis, the patients needed to wait too long before entering the Oncology Service because of long waiting queues in the public health system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 12%
Unspecified 10 9%
Researcher 8 7%
Student > Ph. D. Student 8 7%
Professor > Associate Professor 6 5%
Other 27 23%
Unknown 43 37%
Readers by discipline Count As %
Medicine and Dentistry 30 26%
Nursing and Health Professions 14 12%
Unspecified 10 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Environmental Science 2 2%
Other 9 8%
Unknown 48 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2022.
All research outputs
#14,367,202
of 23,460,553 outputs
Outputs from BMC Women's Health
#1,113
of 1,925 outputs
Outputs of similar age
#171,767
of 311,893 outputs
Outputs of similar age from BMC Women's Health
#11
of 18 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,925 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 311,893 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.