Cad Saude Publica
csp
Cadernos de Saúde Pública
Cad. Saúde Pública
0102-311X
1678-4464
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
Las mujeres que presentan tumores avanzados de cáncer de mama son comunes en Brasil. Se sabe poco sobre los factores que contribuyen al retraso en la búsqueda de atención. El objetivo de este estudio fue identificar los factores asociados a los intervalos de tiempo más largos entre la aparición de los síntomas de cáncer de pecho y la primera visita médica en el Distrito Federal, Brasil. El análisis incluyó a 444 mujeres con síntomas de cáncer de pecho, que fueron entrevistadas entre septiembre 2012 y septiembre 2014, durante el tratamiento de cáncer de mama en nueve hospitales públicos del Distrito Federal. Pacientes con enfermedad metastásica en el diagnóstico no estuvieron incluidos en este estudio. El resultado fue el intervalo de tiempo entre la aparición de los síntomas y la primera visita médica, si > 90 (34% de pacientes) o ≤ 90 días. La regresión logística se usó para estimar odds ratios (OR) y los intervalos de 95% de confianza (IC95%). En el análisis multivariado, los > 90 días de intervalo estuvieron significativamente asociados con pacientes que no se realizaron mamografías y/o ultrasonidos en el pecho en los dos años previos al diagnóstico de cáncer de mama (OR = 1.97; 95%CI: 1.26-3.08), y en estadios más avanzados (OR = 1.72; 95%CI: 1.10-2.72). Además, hubo una probabilidad más baja de retraso en pacientes con niveles más altos de educación (OR = 0.95; 95%CI: 0.91-0.99). Una proporción relativamente alta de pacientes con cáncer de pecho en el Distrito Federal sufrieron retrasos para realizar las primeras consultas médicas tras la aparición de los síntomas. El aumento de la concienciación sobre el cáncer de mama, especialmente entre mujeres con bajo nivel educacional y quienes no participaron en programas de mamografías pudieron contribuir a la reducción de este retraso.
Introduction
Breast cancer is the most frequent malignant tumor in women in most countries worldwide. It is the leading cause of death from cancer in women of low and medium Human Development Index countries, where it represents 14.9% of all cancer deaths 1. In Brazil, this neoplasm is the most common malignancy in women after non-melanoma skin cancer. The frequency of new cases of breast cancer is also high in the Federal District. It was estimated that 1,020 new cases of breast cancer would be detected there during 2018, which represents the fifth highest incidence rate (62.1 cases per 100,000 women) in Brazil 2.
The mortality rate of breast cancer has been increasing in Brazil 3 and actions to control this cancer, as proposed by the Brazilian National Cancer Institute (INCA), consist in improvements in both early disease detection and prompt treatment 4. For early detection, it is important to promote breast cancer screening among the target population and quick identification of breast cancer signs and symptoms by women and/or health professionals, as well as to improve access to health services for diagnosis and treatment 5. However, previous studies in Brazil have shown that women present limited knowledge about some breast cancer signs and symptoms 6,7 and many of them do not routinely undergo mammography screening 8. These weak points, besides limitations in health services access, may lead women to take longer to attend a first medical visit after identifying any breast alteration suggestive of cancer.
The interval prior to the first consultation includes the time interval between the detection or awareness of a body change defined as “appraisal time” and the time interval of perceiving a reason to talk about the symptoms with a health professional at the first consultation, defined as “help-seeking interval” 9. In the Brazilian context, it is believed that the “appraisal time” and “help-seeking interval” are more relevant than difficulty to obtain the first medical consultation given a national study showing that 97.6% of the interviewees obtained a medical appointment on their first attempt 10.
Previous studies suggested that longer time intervals between the onset of symptoms and the first health care visit were associated with older age, lower educational level and lower family income 11,12, but few of such studies were performed in Brazil 13,14, which limits the understanding of such factors regarding the breast cancer in our country.
Based on the above considerations, the aim of this study was to investigate the time interval between the onset of suggestive symptoms of breast cancer and the first medical visit. We further investigated which factors were associated to longer intervals.
Material and methods
This cross-sectional study started with 600 incident breast cancer patients hospitalized for breast cancer treatment in nine public hospitals of the Federal District, Brazil. Patients with metastatic disease identified before treatment were not included in the study. Data collection was carried out between September 2012 and September 2014. All women were interviewed using a structured questionnaire. Clinical data was retrieved from hospital records and a total of 444 (74%) consecutive symptomatic women at the first medical visit were included in the analysis, disregarding refusals.
Sample size calculation was based on the estimation that 1,800 new breast cancer cases would be diagnosed in the Federal District during the period of data collection 15. We considered that 40% of these cases would be treated in private services (Brazilian National Agency for Supplementary Health. http://www.ans.gov.br/anstabnet/cgi-bin/dh?dados/tabnet_tx.def, accessed on 04/Dec/2014) and the time interval between the onset of symptoms and the first medical consultation would exceed 90 days in 30% of cases 14.
The variable of interest was the self-referred time interval between the onset of the suggestive symptom of breast cancer and the date of the first medical visit. This variable was dichotomized - ≤ 90 days and > 90 days - as this was the cut-off point used in other studies 11,16,17,18. The presence of a palpable lump, skin and/or nipple retraction, hyperemia, bulging, abscess or pain in the breast, ulceration, nipple discharge, change in breast size, and the presence of axillary nodules were considered signs/symptoms. The first medical visit was defined as the moment when the patient was first examined due to her complaint regarding the breast.
Other variables were considered, such as patient sociodemographic characteristics (age, marital status, place of residence, educational level, and average family income), family history of breast cancer, periodicity of breast self-examination, date of last mammography and/or breast ultrasound before diagnosis, date of last clinical breast examination before diagnosis, and stages grouped according to the sixth edition of the TNM Classification of Malignant Tumors19. Family income per month was expressed in US dollars (1 USD = 2.7 BRL on December 31, 2014).
The descriptive analysis estimates frequencies for categorical variables and measuring central tendency and dispersion for continuous variables - mean and standard deviation (SD) or median and range. Some variable categories were abandoned for the few cases. Bivariate and multiple logistic regression models were performed. Variables that showed p-value ≤ 0.25 in the bivariate analysis were tested in the multiple model 20 by a stepwise forward method, and remained in the model when p-value < 0.05. The IBM SPSS Statistics v.20.0 software (https://www.ibm.com/) was used for the analysis.
This study was approved by the Ethics Research Committee of the Health Sciences Teaching and Research Foundation, Federal District Health State Department (Ethics Approval n. 99,313) as recommended by Resolution n. 196/1996 of the Brazilian National Health Council. All participants signed an informed consent form before the interview.
Results
Out of the 444 women included in this analysis, the mean age at diagnosis was 52.3 years (± 12.8) and the most frequent age group was 50 to 69 years (Table 1). The following characteristics were more prevalent: being married or living in a stable union and dwelling in the Federal District. The mean number of schooling time was 7.8 years (± 4.7) and the average family income was USD 502.22 (ranging between USD 25.90 and 12,963.00).
Table 1
Characteristics of 444 symptomatic women with breast cancer treated at public hospitals in the Brazilian Federal District between September 2012 and September 2014.
Characteristics
n
%
Age group (years)
< 40
81
18.2
40-49
120
27.0
50-69
195
43.9
> 70
48
10.8
Place of residence
Federal District
281
63.3
Other
163
36.7
Marital status
Single
98
22.1
Married or living with a partner
233
52.5
Divorced
57
12.8
Widow
56
12.6
Family income (USD per month) *
> 502.20
230
53.1
≤ 502.20
203
46.9
Years of schooling
Mean 7.8 years (SD = 4.7)
Family history of breast cancer
No
323
72.7
Yes
121
27.3
First-degree relative
45
37.2
Second-degree relative
76
62.8
Breast self-examination periodicity
Once a month
212
47.7
Less frequent
232
52.3
Mammography and/or breast ultrasound periodicity **
≤ 2 years
168
39.3
> 2 years
93
21.8
Not performed before
166
38.9
Clinical breast examination periodicity ***
≤ 1 year
158
37.5
> 1 year
193
45.8
Not performed before
70
16.6
Stage group
0-IIA
156
35.1
IIB-IIIC
288
64.9
SD: standard deviation.
* Information available for 433 patients;
** Information available for 427 patients;
*** Information available for 421 patients.
The time interval between the onset of suggestive signs/symptoms of breast cancer and the first medical visit showed a median of 39 days (ranging between 0 and 1,857 days), with 34% occurring up to 90 days.
In both bivariate (Table 2) and multiple regression (Table 3) analyses, the variables that showed a statistically significant association with a longer interval (> 90 days) were patients not performing mammography and/or breast ultrasound in the two years prior to breast cancer diagnosis (OR = 1.97; 95%CI: 1.26-3.08), and with more advanced stages (OR = 1.72; 95%CI: 1.10-2.72). Furthermore, there was a lower chance of delay in patients with higher levels of education (OR = 0.95; 95%CI: 0.91-0.99).
Table 2
Bivariate analysis. Factors associated with longer time interval (> 90 days) between onset of breast cancer symptoms and first medical visit and associated factors.
Characteristics
Total
Interval between symptom and first visit > 90 days
Crude OR
95%CI
n
%
Age group (years)
< 50
201
67
33.3
1.00
-
≥ 50
243
86
35.4
1.10
0.74-1.62
Place of residence
Federal District
281
98
35.9
1.00
-
Other
163
52
31.9
0.84
0.55-1.26
Marital status
With a partner
233
72
32.6
1.00
-
Without a partner
211
77
36.5
1.19
0.80-1.76
Family income (USD per month)
> 502.20
203
65
32.0
1.00
-
≤ 502.20
230
84
36.1
1.20
0.80-1.79
Years of schooling
0.95
0.91-0.99
Family history of breast cancer
Yes
121
37
30.6
1.00
-
No
323
113
35.9
1.27
0.81-1.99
Breast self-examination performed at least once a month
Yes
212
71
33.5
1.00
-
No
232
79
34.1
1.01
0.68-1.49
Mammography and/or breast ultrasound periodicity
≤ 2 years
168
39
23.2
1.00
-
> 2 years or never performed
259
103
40.5
2.26
1.46-3.49
Clinical breast examination periodicity
≤ 1 year
158
44
28.5
1.00
-
> 1 year
263
95
36.1
1.42
0.93-2.18
Stage group
0-IIA
156
38
25.6
1.00
-
IIB-IIIC
288
112
39.2
1.87
1.25-2.88
95%CI: 95% confidence interval; OR: odds ratio.
Table 3
Multivariate analysis. Factors associated with longer time interval (> 90 days) between onset of breast cancer symptoms and first medical visit and associated factors.
Characteristics
Adjusted OR
95%CI
p-value
Years of schooling
0.95
0.91-0.99
0.042
Mammography and/or breast ultrasound periodicity
≤ 2 years
1.00
-
> 2 years or never performed
1.97
1.26-3.08
0.003
Stage group
0-IIA
1.00
-
IIB-IIIC
1.72
1.10-2.72
0.02
95%CI: 95% confidence interval; OR: odds ratio.
Discussion
Our results reveal that one third of the sample (34%) had a considerable time interval between the onset of symptoms and the first medical consultation. Three variables were associated with this delay: lower educational level, not undergoing mammography and/or breast ultrasound in the two years prior to the diagnosis, and cases diagnosed at more advanced stages.
The median interval between the onset of signs/symptoms and the first medical visit observed - i.e., 39 days - was higher than reported in previous studies in Brazil 13,14. Over one-third showed an interval exceeding 90 days, which is longer than in other countries 16,21,22,23. Although methodological differences between studies and different characteristics of health services among countries hinder the results comparison, we consider that devising actions to reduce this interval in the Brazilian scenario should be a priority, given that longer intervals are associated with lower survival rates of breast cancer 24.
To reduce this interval, it would be important to remember that women with lower educational levels were more susceptible to have longer intervals, which is consistent with results from other studies 21,25,26. Lower educational levels are also associated with lower levels of awareness and recognition of breast cancer warning signs 27,28.
Furthermore, knowledge about breast cancer signs/symptoms among the Brazilian population is limited. A recent study including 478 women aged 40 or older in the city of Rio Branco, in Northern Brazil, reported that women were aware of some signs/symptoms such as lumps, nipple discharge, and breast discomfort. However, most of the sample did not identify nipple retraction, redness of breast skin and/or nipple discharge as breast cancer signs/symptoms 7. The difficulty in recognizing breast cancer warning signs may have resulted in longer intervals prior to the first consultation.
Moreover, note that the perceived barriers regarding access to health services are more frequently observed among people with worse socioeconomic conditions, in addition to previous experience and judgment regarding health services that may lead to avoidable delays and late diagnosis 29,30.
Access to outpatient secondary services such as mammography is limited in Brazil 31. An increase in the rate of mammography screening coverage among the target population should contribute to an earlier diagnosis. Although the INCA advises biennial mammography screening for women between 50 and 69 years 4, there is no population-based breast cancer screening program in the country and women only have access to screening strategies opportunistically 8. Besides, there is a reason to believe that mammography performance contributes to breast cancer awareness among patients and health professionals. An association was observed in other studies between delay at attending and patients not undergoing mammography or breast ultrasound 17,21,23,32.
Breast self-examination and clinical breast examination periodicity were not associated with a longer time interval to attend the first medical visit constrasting with previous studies 21,32,33. Moreover, these practices are not recommended for breast cancer screening on recent national directive 4.
Finally, there was an association of more advanced stages with delay to attend the first medical consultation as in other studies 13,16,34. This association was found in both bivariate and multivariable analyses, which points to the importance of this delay regarding the disease outcome. Women with advanced breast cancer tumors at medical appointment are common in Brazil, with more than 70% of the tumors diagnosed at stage II or higher 35. This highlights the importance of speeding up the first medical visit after the onset of symptoms by improving breast cancer awareness to detect the disease at earlier stages 36.
No association was observed between the delay to attend the first medical visit after the onset of symptoms and age, marital status, family history of cancer, income, or distance between place of residence and health care facilities, unlike what was previously reported 16,18,21,37. This inconsistency may result of various circumstances: methodological differences; the fact that these events depend on the sociocultural context 38; insufficient research about these aspects related with delay 39.
This is one of the largest studies performed in Brazil focusing on this issue, but it has some limitations. Patients with metastatic disease at diagnosis were not included in our study and this may have decreased the delay interval. Moreover, patients might not accurately remember when certain events occurred in their lives, which might translate into some memory bias; to minimize this risk, this study included only incident breast cancer cases. Furthermore, there is a possibility that some patients did not report the real time interval to avoid shame or embarrassment, as previously reported 24.
In conclusion, in a relatively high proportion of breast cancer patients in the Federal District, the first medical visit occurs long after the onset of symptoms. Thus, increasing breast cancer awareness, especially among women with low educational levels and those not participating in mammography screening programs could contribute to reduce this delay.
Acknowledgments
We would like to thank Mastology Unit of the Brasília University Hospital, Federal District Base Hospital, and the Oncology Service of the Taguatinga Regional Hospital, Brasília (Federal District, Brazil). This study was supported by the Higher Education School of Health Sciences (ESCS).
References
1
1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68:394-424.
Bray
F
Ferlay
J
Soerjomataram
I
Siegel
RL
Torre
LA
Jemal
A
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
CA Cancer J Clin
2018
68
394
424
2
2. Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2018: incidência de câncer no Brasil. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2017.
Instituto Nacional de Câncer José Alencar Gomes da Silva
Estimativa 2018: incidência de câncer no Brasil
2017
Rio de Janeiro
Instituto Nacional de Câncer José Alencar Gomes da Silva
3
3. Kluthcovsky ACGC, Faria TNP, Carneiro FH, Strona R. Female breast cancer mortality in Brazil and its regions. Rev Assoc Med Bras 2014; 60:387-93.
Kluthcovsky
ACGC
Faria
TNP
Carneiro
FH
Strona
R
Female breast cancer mortality in Brazil and its regions
Rev Assoc Med Bras
2014
60
387
393
4
4. Migowski A, Azevedo e Silva G, Dias MBK, Diz MDPE, Sant'Ana DR, Nadanovsky P. Guidelines for early detection of breast cancer in Brazil. II - New national recommendations, main evidence, and controversies. Cad Saúde Pública 2018; 34:e00074817.
Migowski
A
Azevedo e Silva
G
Dias
MBK
Diz
MDPE
Sant'Ana
DR
Nadanovsky
P
Guidelines for early detection of breast cancer in Brazil. II - New national recommendations, main evidence, and controversies.
Cad Saúde Pública
2018
34
e00074817
5
5. Corbex M, Burton R, Sancho-Garnier H. Breast cancer early detection methods for low and middle income countries, a review of the evidence. Breast 2012; 21:428-34.
Corbex
M
Burton
R
Sancho-Garnier
H
Breast cancer early detection methods for low and middle income countries, a review of the evidence
Breast
2012
21
428
434
6
6. Santos GD, Chubaci RY. O conhecimento sobre o câncer de mama e a mamografia das mulheres idosas frequentadoras de centros de convivência em São Paulo (SP, Brasil). Ciênc Saúde Colet 2011; 16:2533-40.
Santos
GD
Chubaci
RY
O conhecimento sobre o câncer de mama e a mamografia das mulheres idosas frequentadoras de centros de convivência em São Paulo (SP, Brasil)
Ciênc Saúde Colet
2011
16
2533
2540
7
7. Schilling MP, Silva IF, Opitz SP, Borges MF, Koifman S, Koifman RJ. Breast cancer awareness among women in Western Amazon: a population based cross-sectional study. Asian Pac J Cancer Prev 2017; 18:847-56.
Schilling
MP
Silva
IF
Opitz
SP
Borges
MF
Koifman
S
Koifman
RJ
Breast cancer awareness among women in Western Amazon a population based cross-sectional study
Asian Pac J Cancer Prev
2017
18
847
856
8
8. Bezerra HS, Melo TFV, Barbosa JV, Feitosa EELC, Sousa LCM. Evaluation of access to mammographies in Brazil and socioeconomic indicators: a space study. Rev Gaúch Enferm 2018; 39:e20180014.
Bezerra
HS
Melo
TFV
Barbosa
JV
Feitosa
EELC
Sousa
LCM
Evaluation of access to mammographies in Brazil and socioeconomic indicators a space study
Rev Gaúch Enferm
2018
39
e20180014
9
9. Weller D, Vedsted P, Rubin G, Walter FM, Emery J, Scott S, et al. The Aarhus statement: improving design and reporting of studies on early cancer diagnosis. Br J Cancer 2012; 106:1262-7.
Weller
D
Vedsted
P
Rubin
G
Walter
FM
Emery
J
Scott
S
The Aarhus statement improving design and reporting of studies on early cancer diagnosis
Br J Cancer
2012
106
1262
1267
10
10. Szwarcwald CL, Damacena GN, Souza Júnior PRB, Almeida WS, Malta DC. Perception of the Brazilian population on medical health care. Brazil, 2013. Ciênc Saúde Colet 2016; 21:339-49.
Szwarcwald
CL
Damacena
GN
Souza
PRB
Júnior
Almeida
WS
Malta
DC
Perception of the Brazilian population on medical health care Brazil, 2013
Ciênc Saúde Colet
2016
21
339
349
11
11. Sharma K, Costas A, Damuse R, Hamiltong-Pierre J, Pyda J, Ong CT, et al. The Haiti Breast Cancer Initiative: initial findings and analysis of barriers-to-care delaying patient presentation. J Oncol 2013; 2013:206367.
Sharma
K
Costas
A
Damuse
R
Hamiltong-Pierre
J
Pyda
J
Ong
CT
The Haiti Breast Cancer Initiative initial findings and analysis of barriers-to-care delaying patient presentation
J Oncol
2013
2013
206367
206367
12
12. Yau TK, Choi CW, Ng E, Yeung R, Soong IS, Lee AWM. Delayed presentation of symptomatic breast cancers in Hong Kong: experience in a public cancer center. Hong Kong Med J 2010; 16:373-7.
Yau
TK
Choi
CW
Ng
E
Yeung
R
Soong
IS
Lee
AWM
Delayed presentation of symptomatic breast cancers in Hong Kong experience in a public cancer center
Hong Kong Med J
2010
16
373
377
13
13. Rezende MCR, Koch HA, Figueiredo JA, Thuler LCS. Factors leading to delay in obtaining definitive diagnosis of suspicious lesions for breast cancer in a dedicated health unit in Rio de Janeiro. Rev Bras Ginecol Obstet 2009; 31:75-81.
Rezende
MCR
Koch
HA
Figueiredo
JA
Thuler
LCS
Factors leading to delay in obtaining definitive diagnosis of suspicious lesions for breast cancer in a dedicated health unit in Rio de Janeiro
Rev Bras Ginecol Obstet
2009
31
75
81
14
14. Barros AF, Uemura G, Macedo JLS. Interval for access to treatment for breast cancer in the Federal District, Brazil. Rev Bras Ginecol Obstet 2013; 35:458-63.
Barros
AF
Uemura
G
Macedo
JLS
Interval for access to treatment for breast cancer in the Federal District, Brazil
Rev Bras Ginecol Obstet
2013
35
458
463
15
15. Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2012: incidência de câncer no Brasil. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2011.
Instituto Nacional de Câncer José Alencar Gomes da Silva
Estimativa 2012: incidência de câncer no Brasil
2011
Rio de Janeiro
Instituto Nacional de Câncer José Alencar Gomes da Silva
16
16. Piñeros M, Sanchez R, Cendales R, Perry F, Ocampo R. Patient delay among Colombian women with breast cancer. Salud Pública Méx 2009; 51:372-80.
Piñeros
M
Sanchez
R
Cendales
R
Perry
F
Ocampo
R
Patient delay among Colombian women with breast cancer
Salud Pública Méx
2009
51
372
380
17
17. Ghazali SM, Othman Z, Cheong KC, Hock AK, Mahiyuddin WRW, Kamaluddin MA, et al. Non-practice of breast self examination and marital status are associated with delayed presentation with breast cancer. Asian Pac J Cancer Prev 2013; 14:1141-5.
Ghazali
SM
Othman
Z
Cheong
KC
Hock
AK
Mahiyuddin
WRW
Kamaluddin
MA
Non-practice of breast self examination and marital status are associated with delayed presentation with breast cancer
Asian Pac J Cancer Prev
2013
14
1141
1145
18
18. Memon ZA, Shaikh AN, Rizwan S, Sardar MB. Reasons for patient's delay in diagnosis of breast carcinoma in Pakistan. Asian Pac J Cancer Prev 2013; 14:7409-14.
Memon
ZA
Shaikh
AN
Rizwan
S
Sardar
MB
Reasons for patient's delay in diagnosis of breast carcinoma in Pakistan
Asian Pac J Cancer Prev
2013
14
7409
7414
19
19. Instituto Nacional de Câncer. TNM: classificação de tumores malignos. 6ª Ed. Rio de Janeiro: Instituto Nacional de Câncer; 2004.
Instituto Nacional de Câncer
TNM: classificação de tumores malignos.
6ª
2004
Rio de Janeiro
Instituto Nacional de Câncer
20
20. Hosmer Jr. DW, Lemeshow S. Applied logistic regression. 2nd Ed. Hoboken: John Wiley & Sons; 2005.
Hosmer
DW
Jr.
Lemeshow
S
Applied logistic regression.
2nd
Hoboken
John Wiley & Sons
2005
21
21. Ozmen V, Boylu S, Ok E, Canturk NZ, Celik V, Kapkac M, et al. Factors affecting breast cancer treatment delay in Turkey: a study from Turkish Federation of Breast Diseases Societies. Eur J Public Health 2015; 25:9-14.
Ozmen
V
Boylu
S
Ok
E
Canturk
NZ
Celik
V
Kapkac
M
Factors affecting breast cancer treatment delay in Turkey a study from Turkish Federation of Breast Diseases Societies
Eur J Public Health
2015
25
9
14
22
22. Hansen RP, Vedsted P, Sokolowski I, Søndergaard J, Olesen F. Time intervals from first symptom to treatment of cancer: a cohort study of 2,212 newly diagnosed cancer patients. BMC Health Serv Res 2011; 11:284.
Hansen
RP
Vedsted
P
Sokolowski
I
Søndergaard
J
Olesen
F
Time intervals from first symptom to treatment of cancer a cohort study of 2,212 newly diagnosed cancer patients
BMC Health Serv Res
2011
11
284
284
23
23. Innos K, Padrik P, Valvere V, Eelma E, Kütner R, Lehtsaar J, et al. Identifying women at risk for delayed presentation of breast cancer: a cross-sectional study in Estonia. BMC Public Health 2013; 13:947.
Innos
K
Padrik
P
Valvere
V
Eelma
E
Kütner
R
Lehtsaar
J
Identifying women at risk for delayed presentation of breast cancer a cross-sectional study in Estonia
BMC Public Health
2013
13
947
947
24
24. Richards MA, Westcombe AM, Love SB, Littlejohns P, Ramirez AJ. Influence of delay on survival in patients with breast cancer: a systematic review. Lancet 1999; 353:1119-26.
Richards
MA
Westcombe
AM
Love
SB
Littlejohns
P
Ramirez
AJ
Influence of delay on survival in patients with breast cancer a systematic review
Lancet
1999
353
1119
1126
25
25. Khan MA, Hanif S, Iqbal S, Shahzad MF, Shafique S, Khan MT. Presentation delay in breast cancer patients and its association with sociodemographic factors in North Pakistan. Chin J Cancer Res 2015; 27:288-93.
Khan
MA
Hanif
S
Iqbal
S
Shahzad
MF
Shafique
S
Khan
MT
Presentation delay in breast cancer patients and its association with sociodemographic factors in North Pakistan
Chin J Cancer Res
2015
27
288
293
26
26. Stamatovic L, Vasovic S, Trifunovic J, Boskov N, Gajic Z, Parezanovic A, et al. Factors influencing time to seeking medical advice and onset of treatment in women who are diagnosed with breast cancer in Serbia. Psychooncology 2018; 27:576-82.
Stamatovic
L
Vasovic
S
Trifunovic
J
Boskov
N
Gajic
Z
Parezanovic
A
Factors influencing time to seeking medical advice and onset of treatment in women who are diagnosed with breast cancer in Serbia
Psychooncology
2018
27
576
582
27
27. Quaife SL, Forbes LJ, Ramirez AJ, Brain KE, Donnelly C, Simon AE, et al. Recognition of cancer warning signs and anticipated delay in help-seeking in a population sample of adults in the UK. Br J Cancer 2014; 110:12-8.
Quaife
SL
Forbes
LJ
Ramirez
AJ
Brain
KE
Donnelly
C
Simon
AE
Recognition of cancer warning signs and anticipated delay in help-seeking in a population sample of adults in the UK
Br J Cancer
2014
110
12
18
28
28. Hvidberg L, Pedersen AF, Wulff CN, Vedsted P. Cancer awareness and socio-economic position: results from a population-based study in Denmark. BMC Cancer 2014; 14:581.
Hvidberg
L
Pedersen
AF
Wulff
CN
Vedsted
P
Cancer awareness and socio-economic position results from a population-based study in Denmark
BMC Cancer
2014
14
581
581
29
29. Khakbazan Z, Taghipour A, Roudsari RL, Mohammadi E. Help seeking behavior of women with self-discovered breast cancer symptoms: a meta-ethnographic synthesis of patient delay. PLoS One 2014; 9:e110261.
Khakbazan
Z
Taghipour
A
Roudsari
RL
Mohammadi
E
Help seeking behavior of women with self-discovered breast cancer symptoms a meta-ethnographic synthesis of patient delay
PLoS One
2014
9
e110261
30
30. McCutchan GM, Wood F, Edwards A, Richards R, Brain KE. Influences of cancer symptom knowledge, beliefs and barriers on cancer symptom presentation in relation to socioeconomic deprivation: a systematic review. BMC Cancer 2015; 15:1000.
McCutchan
GM
Wood
F
Edwards
A
Richards
R
Brain
KE
Influences of cancer symptom knowledge, beliefs and barriers on cancer symptom presentation in relation to socioeconomic deprivation a systematic review
BMC Cancer
2015
15
1000
1000
31
31. Tomazelli JG, Silva GA. Breast cancer screening in Brazil: an assessment of supply and use of Brazilian National Health System health care network for the period 2010-2012. Epidemiol Serv Saúde 2017; 26:713-24.
Tomazelli
JG
Silva
GA
Breast cancer screening in Brazil an assessment of supply and use of Brazilian National Health System health care network for the period 2010-2012
Epidemiol Serv Saúde
2017
26
713
724
32
32. Jassem J, Ozmen V, Bacanu F, Drobniene M, Eglitis J, Lakshmaiah KC, et al. Delays in diagnosis and treatment of breast cancer: a multinational analysis. Eur J Public Health 2014; 24:761-7.
Jassem
J
Ozmen
V
Bacanu
F
Drobniene
M
Eglitis
J
Lakshmaiah
KC
Delays in diagnosis and treatment of breast cancer a multinational analysis
Eur J Public Health
2014
24
761
767
33
33. Romanoff A, Constant TH, Johnson KM, Guadiamos MC, Vega AMB, Zunt J, et al. Association of previous clinical breast examination with reduced delays and earlier-stage breast cancer diagnosis among women in Peru. JAMA Oncol 2017; 3:1563-7.
Romanoff
A
Constant
TH
Johnson
KM
Guadiamos
MC
Vega
AMB
Zunt
J
Association of previous clinical breast examination with reduced delays and earlier-stage breast cancer diagnosis among women in Peru
JAMA Oncol
2017
3
1563
1567
34
34. Odongo J, Makumbi T, Kalungi S, Galukande M. Patient delay factors in women presenting with breast cancer in a low income country. BMC Res Notes 2015; 8:467.
Odongo
J
Makumbi
T
Kalungi
S
Galukande
M
Patient delay factors in women presenting with breast cancer in a low income country
BMC Res Notes
2015
8
467
467
35
35. Abrahão KS, Bergmann A, Aguiar SS, Thuler LCS. Determinants of advanced stage presentation of breast cancer in 87,969 Brazilian women. Maturitas 2015; 82:365-70.
Abrahão
KS
Bergmann
A
Aguiar
SS
Thuler
LCS
Determinants of advanced stage presentation of breast cancer in 87,969 Brazilian women
Maturitas
2015
82
365
370
36
36. Yip CH, Smith RA, Anderson BO, Miller AB, Thomas DB, Ang ES, et al. Guideline implementation for breast healthcare in low- and middle-income countries: early detection resource allocation. Cancer 2008; 113(8 Suppl):2244-56.
Yip
CH
Smith
RA
Anderson
BO
Miller
AB
Thomas
DB
Ang
ES
Guideline implementation for breast healthcare in low- and middle-income countries early detection resource allocation
Cancer
2008
113
8
Suppl
2244
2256
37
37. Thakur NA, Humne AY, Godale LB. Delay in presentation to the hospital and factors affecting it in breast cancer patients attending tertiary care center in Central India. Indian J Cancer 2015; 52:102-5.
Thakur
NA
Humne
AY
Godale
LB
Delay in presentation to the hospital and factors affecting it in breast cancer patients attending tertiary care center in Central India
Indian J Cancer
2015
52
102
105
38
38. Freitas AG, Weller M. Patient delays and system delays in breast cancer treatment in developed and developing countries. Ciênc Saúde Colet 2015; 20:3177-89.
Freitas
AG
Weller
M
Patient delays and system delays in breast cancer treatment in developed and developing countries
Ciênc Saúde Colet
2015
20
3177
3189
39
39. Webber C, Jiang L, Grunfeld E, Groome PA. Identifying predictors of delayed diagnoses in symptomatic breast cancer: a scoping review. Eur J Cancer Care (Engl) 2017; 26:e12483.
Webber
C
Jiang
L
Grunfeld
E
Groome
PA
Identifying predictors of delayed diagnoses in symptomatic breast cancer a scoping review
Eur J Cancer Care (Engl)
2017
26
e12483
Autoría
Ângela Ferreira Barros
Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.Universidade Estadual Paulista “Júlio de Mesquita Filho”BrazilBotucatu, Brazil Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.
Escola Superior de Ciências da Saúde, Brasília, Brasil.Escola Superior de Ciências da SaúdeBrazilBrasília, Brazil Escola Superior de Ciências da Saúde, Brasília, Brasil.
Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.Universidade Estadual Paulista “Júlio de Mesquita Filho”BrazilBotucatu, Brazil Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.
Secretaria de Estado de Saúde do Distrito Federal, Brasília, Brasil.Secretaria de Estado de Saúde do Distrito FederalBrasilBrasília, Brasil Secretaria de Estado de Saúde do Distrito Federal, Brasília, Brasil.
Centro Universitário do Distrito Federal, Brasília, Brasil.Centro Universitário do Distrito FederalBrazilBrasília, Brazil Centro Universitário do Distrito Federal, Brasília, Brasil.
Escola Superior de Ciências da Saúde, Brasília, Brasil.Escola Superior de Ciências da SaúdeBrazilBrasília, Brazil Escola Superior de Ciências da Saúde, Brasília, Brasil.
Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.Universidade Estadual Paulista “Júlio de Mesquita Filho”BrazilBotucatu, Brazil Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.
Correspondence A. F. Barros Escola Superior de Ciências da Saúde. SMHN quadra 3, conjunto A, bloco 1, Edifício Fepecs, Brasília, DF 70710-907, Brasil. anbarros@yahoo.com.br
Contributors
All authors contributed in all stages of article production.
Additional informations
ORCID: Ângela Ferreira Barros (0000-0003-0194-4196); Cristiane Murta-Nascimento (0000-0001-8686-1079); Carlos Henrique de Abdon (0000-0001-6049-4362); Daniela Nunes Nogueira (0000-0001-5891-9181); Emenny Line Cardoso Lopes (0000-0002-2808-6278); Adriano Dias (0000-0001-6895-372X).
SCIMAGO INSTITUTIONS RANKINGS
Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.Universidade Estadual Paulista “Júlio de Mesquita Filho”BrazilBotucatu, Brazil Programa de Pós-graduação em Saúde Coletiva, Universidade Estadual Paulista “Júlio de Mesquita Filho”, Botucatu, Brasil.
Escola Superior de Ciências da Saúde, Brasília, Brasil.Escola Superior de Ciências da SaúdeBrazilBrasília, Brazil Escola Superior de Ciências da Saúde, Brasília, Brasil.
Secretaria de Estado de Saúde do Distrito Federal, Brasília, Brasil.Secretaria de Estado de Saúde do Distrito FederalBrasilBrasília, Brasil Secretaria de Estado de Saúde do Distrito Federal, Brasília, Brasil.
Centro Universitário do Distrito Federal, Brasília, Brasil.Centro Universitário do Distrito FederalBrazilBrasília, Brazil Centro Universitário do Distrito Federal, Brasília, Brasil.
Table 1
Characteristics of 444 symptomatic women with breast cancer treated at public hospitals in the Brazilian Federal District between September 2012 and September 2014.
Table 2
Bivariate analysis. Factors associated with longer time interval (> 90 days) between onset of breast cancer symptoms and first medical visit and associated factors.
Table 3
Multivariate analysis. Factors associated with longer time interval (> 90 days) between onset of breast cancer symptoms and first medical visit and associated factors.
table_chartTable 1
Characteristics of 444 symptomatic women with breast cancer treated at public hospitals in the Brazilian Federal District between September 2012 and September 2014.
Characteristics
n
%
Age group (years)
< 40
81
18.2
40-49
120
27.0
50-69
195
43.9
> 70
48
10.8
Place of residence
Federal District
281
63.3
Other
163
36.7
Marital status
Single
98
22.1
Married or living with a partner
233
52.5
Divorced
57
12.8
Widow
56
12.6
Family income (USD per month) *
> 502.20
230
53.1
≤ 502.20
203
46.9
Years of schooling
Mean 7.8 years (SD = 4.7)
Family history of breast cancer
No
323
72.7
Yes
121
27.3
First-degree relative
45
37.2
Second-degree relative
76
62.8
Breast self-examination periodicity
Once a month
212
47.7
Less frequent
232
52.3
Mammography and/or breast ultrasound periodicity **
≤ 2 years
168
39.3
> 2 years
93
21.8
Not performed before
166
38.9
Clinical breast examination periodicity ***
≤ 1 year
158
37.5
> 1 year
193
45.8
Not performed before
70
16.6
Stage group
0-IIA
156
35.1
IIB-IIIC
288
64.9
table_chartTable 2
Bivariate analysis. Factors associated with longer time interval (> 90 days) between onset of breast cancer symptoms and first medical visit and associated factors.
Characteristics
Total
Interval between symptom and first visit > 90 days
Crude OR
95%CI
n
%
Age group (years)
< 50
201
67
33.3
1.00
-
≥ 50
243
86
35.4
1.10
0.74-1.62
Place of residence
Federal District
281
98
35.9
1.00
-
Other
163
52
31.9
0.84
0.55-1.26
Marital status
With a partner
233
72
32.6
1.00
-
Without a partner
211
77
36.5
1.19
0.80-1.76
Family income (USD per month)
> 502.20
203
65
32.0
1.00
-
≤ 502.20
230
84
36.1
1.20
0.80-1.79
Years of schooling
0.95
0.91-0.99
Family history of breast cancer
Yes
121
37
30.6
1.00
-
No
323
113
35.9
1.27
0.81-1.99
Breast self-examination performed at least once a month
Yes
212
71
33.5
1.00
-
No
232
79
34.1
1.01
0.68-1.49
Mammography and/or breast ultrasound periodicity
≤ 2 years
168
39
23.2
1.00
-
> 2 years or never performed
259
103
40.5
2.26
1.46-3.49
Clinical breast examination periodicity
≤ 1 year
158
44
28.5
1.00
-
> 1 year
263
95
36.1
1.42
0.93-2.18
Stage group
0-IIA
156
38
25.6
1.00
-
IIB-IIIC
288
112
39.2
1.87
1.25-2.88
table_chartTable 3
Multivariate analysis. Factors associated with longer time interval (> 90 days) between onset of breast cancer symptoms and first medical visit and associated factors.
Characteristics
Adjusted OR
95%CI
p-value
Years of schooling
0.95
0.91-0.99
0.042
Mammography and/or breast ultrasound periodicity
≤ 2 years
1.00
-
> 2 years or never performed
1.97
1.26-3.08
0.003
Stage group
0-IIA
1.00
-
IIB-IIIC
1.72
1.10-2.72
0.02
Como citar
Barros, Ângela Ferreira et al. Factores asociados al intervalo de tiempo entre la aparición de síntomas y la primera visita médica de mujeres con cáncer de mama. Cadernos de Saúde Pública [online]. 2020, v. 36, n. 2 [Accedido 18 Abril 2025], e00011919. Disponible en: <https://doi.org/10.1590/0102-311X00011919>. Epub 31 Ene 2020. ISSN 1678-4464. https://doi.org/10.1590/0102-311X00011919.
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