INTRODUCTION
Most women fear breast cancer. The disease is usually associated to physical mutilation, changes in style and quality of life (QL). Despite the technological advances in health regarding its treatment and the massive information disseminated by the media, the breast cancer rates are high, most probably because the disease is still diagnosed at advanced stages( 1 - 2 ).
In Brazil, the concern with this situation resulted in the Política Nacional de Atenção Oncológica ( 3 ) (National Policy of Oncology Care) that emphasizes the importance of early detection and diagnosis, to provide women with better therapeutic results, prognosis and living conditions. Currently, the access to information differs depending on the characteristics of the population, impacting the time of diagnosis, the beginning of treatment and the quality of life of these women.
Therefore, an important landmark was the promulgation of Ordinance GM/MS no 2.439 whose primary goals were the promotion of quality of life and health in the society, ( 3 ), and of Law no 2.732/2013 that provides for the beginning of treatment of patients diagnosed with cancer by the SUS (Unified Health System) within 60 days after the diagnosis ( 4 ), to obtain better prognosis and quality of life.
In private health care centers, access to information and health care services is faster, which favors early diagnosis and treatment, However, the differences between public and private health centers may affect the quality of life of patients., The characteristics of the health providing system must be considered for the identification of the affected domains and the guarantee of assistance to these women in every stage of the treatment. Thus, the institutions must be prepared to support all the dimensions of the cancer treatment to improve the quality of life of the patients.
QL (quality of life) is defined by the World Health Organization as "an individual's perception of their position in life in the context of the culture and value system in which they live and in relation to their goals, expectations, standards and concerns"( 5 ). There is considerable agreement among researchers on the QL construct. Since, there is not yet consensus in this regard, it is remarkable that they focused on the patient's perception of the disease, treatment and its effects, reflecting knowledge, experiences, individual and collective values that concern different times and places in history( 6 - 7 ).
Breast cancer may cause different negative emotions in women, which can be strongly related to changes in their quality of life. These emotions include fear of diagnosis, fear of a possible surgery, uncertainty about the success of the treatment and the side effects of treatment, fear of pain and facing the possibility of impending death ( 8 ).
Oncology Nursing integrates this concept because of the importance of its actions during the different stages of care to women with breast cancer, regarding prevention or early detection, diagnosis, treatment, guidance, palliative care and post-discharge follow-up. Thus, the investigation of QL in women suffering from breast cancer is based on the need to identify the affected domains, contemplating the physical, emotional, social and cognitive functions( 9 ).
Through the knowledge and monitoring of the symptoms of the disease and is side effects, important aspects that influence the QL of women with breast cancer can be assessed, allowing the evaluation of the treatment and its impact, as well as the planning of nursing interventions for the rehabilitation of these patients and the guarantee of better QL conditions( 10 ).
Based on the aforementioned, the hypothesis of this study was that the impact generated by anticancer treatment affects the QL of women with breast cancer, regardless of the type of health institution. Therefore, the present study aimed to investigate the QL of women with breast cancer who underwent chemotherapy in public and private health systems, identify and compare the main symptoms and domains affected between both institutions.
METHODOLOGY
Observational and prospective study conducted at the hematology and oncology unit of a public teaching hospital (referred to as IA for the purposes of the study) and in the chemotherapy unit of a private clinic (referred to as IB for the purposes of this study). The study was conducted between May 2012 and September 2013, with the inclusion of 64 women (32 IA and 32 IB) by convenience sampling. The inclusion criteria were: confirmed diagnosis of breast cancer, aged over 18 and beginning chemotherapy treatment within the specified period.
Data collection occurred in three stages of the treatment: the first up to 24 hours before the beginning of chemotherapy using three questionnaires: Questionnaire (1) socio-demographic and clinical data; Questionnaire (2) Quality of Life Questionnaire- C30 (QLQ-C30) developed by the European Organization for Research and Treatment of Cancer (EORTC)( 11 ), specifically for cancer patients, translated into Portuguese, validated in Brazil( 12 ), with 30 items divided into five functional scales (physical, cognitive, emotional, social and performance), three scales of symptoms (fatigue, nausea and pain), six individual items (dyspnea, insomnia, loss of appetite, diarrhea and financial difficulties) and two questions on the general health status; Questionnaire (3) QLQ-BR23, translated into Portuguese, validated in Brazil( 12 ), specifically targeted to QL in breast cancer, composed of 23 questions related to the side effects of chemotherapy, symptoms related to the arm and breast, body image and sexual function.
The second data collection occurred approximately 45 days after the beginning of chemotherapy, and the third one approximately 90 days after the beginning of the first collection and a 5-day margin (in both collections), using only the questionnaires QLQ-C30 and QLQ-BR23.
Socio-demographic data were analyzed by absolute and relative frequency. Data obtained from QLQ-C30 and BR23 was grouped in the respective scales and expressed in 0-100 scores. For the functional scales and general health status, a higher score represents a higher level of functionality and a better general health status. For the scales of symptoms, a higher score represents a greater number of symptoms. Non-parametric Mann Whitney test was used to compare data between the institutions. For comparison of the stages, non-parametric Friedman test was used. A significance level of 5% was considered, and values of p<0.05 were considered statistically significant.
Regarding ethical aspects, both questionnaires were authorized following registration of the project at the EORTC. The research was approved by the Research Ethics Committee of Hospital de Clínicas, UFPR, under no 5301, on March 12, 2012.
RESULTS
Regarding the socio-demographic data (Table 1), the average age of 55 years was observed for IA, and of 44.9 years for IB. As to family income, IA showed an average of 3.9 minimum wages and IB an average of 13.8 minimum wages.
Table 1. Socio-demographic data (n=64). Curitiba, PR, 2013
Variables | IA | IA | I B | IB |
---|---|---|---|---|
Age (years) | 55 | 30 ↔ 77 | 44.9 | 24 ↔ 69 |
n=32 | % | n=32 | % | |
Marital status | ||||
Single | 3 | 9.3 | 3 | 9.3 |
Married or living with a partner | 24 | 75 | 24 | 75 |
Separated or divorced | 3 | 9.3 | 4 | 12.5 |
Widow | 2 | 6.4 | 1 | 3.2 |
Number of children | ||||
None | 1 | 3.2 | 2 | 6.4 |
1 to 3 children | 22 | 68.7 | 28 | 87.5 |
3 or more | 9 | 28.1 | 2 | 6.4 |
Education | ||||
Illiterate | 1 | 3.2 | 0 | 0 |
Up to 9 years of education | 9 | 28.1 | 2 | 6.4 |
9 to 12 years of education | 13 | 40 | 12 | 37.5 |
More than 12 years of education | 9 | 28.1 | 18 | 56.2 |
Occupation | ||||
Economically active | 10 | 31.2 | 19 | 59.6 |
Retired | 9 | 28.1 | 1 | 3.1 |
Housewife | 8 | 25 | 7 | 21.8 |
Unemployed | 5 | 15.6 | 5 | 15.6 |
Family income | 3.9* | - | 13.8* | - |
Per capita income | 1* | - | 4.4* | - |
Source: Research data, 2013.
*Value in minimum wages
Regarding clinical data, it was found that 71% (n=23) of the women under treatment at IA reported having a comorbidity, with emphasis to high blood pressure or systemic arterial hypertension (SAH), diabetes, hypothyroidism and hypercholesterolemia. In IB there was a lower percentage of patients, 28.1% (n=9), with prevalence of SAH and hypothyroidism. Of the 23 patients that reported having SH, 69.5% (n=16) were in IA and 55.5% (n=9) in IB.
Regarding life habits, the responses of the patients in both institutions were similar. In the IA 56.2% (n=18) said they did not smoke, 18.7% (n=6) said they quit smoking and 25% (n=8) said they were smokers. In the IB, 75.1% (n=24) said they did not smoke, 9.3% (n=3) quit smoking and 15.6% (n=5) were smokers. Regarding alcohol consumption, in IA, 71.8% (n=23) said they did not drink alcohol, 28.1% (n=9) drank moderate amounts of alcohol and none reported heavy drinking. In IB 87.5% (n=28) did not drink alcohol 9.3% (n=3) drank moderate amounts of alcohol and 3.2% (n=1) were heavy drinkers.
Regarding physical activities, in IA 59.3% (n=19) did not practice any physical activity, 21.8% (n=7) practiced physical activity sporadically and 18.7% (n=6) regularly. In IB, 56% (n=18) did not practice any physical activity, 21% (n=7) practiced physical activity sporadically and 21% (n=7) regularly.
Regarding the time elapsed from the date of diagnosis to the beginning of treatment, in IA, it ranged from 1 to 24 months, with a mean of 5 months, and in IB the time was 1-7 months, with a mean of 2.6 months.
Regarding the results related to the questionnaires QLQ-C30 collected in the first stage (Table 2), statistically significant differences were observed between the groups for Physical Function (p=0.017) and Pain (p=0.005) in the beginning of the treatment. No statistically significant differences between the institutions were found in the second stage. In the third stage there was a statistically significant difference for the item Social Function (p=0.049).
Table 2. Data from QLQ-C30 applied in the fi rst stage (n=64). Curitiba - PR 2013
Scores | Sum of ranks | U | p-value | |
---|---|---|---|---|
IA n=32 |
IB n=32 |
|||
Global quality of life | 999 | 1081 | 471 | 0.588978 |
Physical function | 864 | 1216 | 336 | 0.017721* |
Personal performance | 894.5 | 1185.5 | 366.5 | 0.050283 |
Emotional function | 1067.5 | 1012.5 | 484.5 | 0.713808 |
Cognitive function | 991.5 | 1088.5 | 463.5 | 0.517476 |
Social function | 1024 | 1056 | 496 | 0.836270 |
Fatigue | 1085 | 995 | 467 | 0.552668 |
Nausea / Vomiting | 1140 | 940 | 412 | 0.182825 |
Pain | 1246.5 | 833.5 | 305.5 | 0.005021* |
Dyspnea | 1140 | 940 | 412 | 0.182825 |
Insomnia | 979.5 | 1100.5 | 451.5 | 0.419190 |
Loss of appetite | 1045 | 1035 | 507 | 0.952160 |
Constipation | 1090 | 990 | 462 | 0.508861 |
Diarrhea | 1184 | 896 | 368 | 0.053589 |
Financial difficulties | 1088 | 992 | 464 | 0.526166 |
Source: Research data, 2013.
*Statistically signifi cant
Regarding the data of the BR23 tool in the first stage (Table 3), we detected statistically significant differences between the groups in the domains Body Image (p=0.016), Sexual Function (p=0.027) and Systemic Effects (p=0.0001).
Table 3. Data from questionnaire BR23 applied in the fi rst stage (n=64). Curitiba - PR 2013
Scores | Sum of ranks | U | N | p-value | ||
---|---|---|---|---|---|---|
IA | IB | IA | IB | |||
Body Image | 850 | 1166 | 322 | 32 | 31 | 0.016326* |
Sexual Function | 1184 | 832 | 336 | 32 | 31 | 0.027610* |
Sexual Pleasure | 367 | 413 | 113 | 15 | 24 | 0.054162 |
Outlook for the future | 936 | 1144 | 408 | 32 | 32 | 0.165703 |
Systemic Effects | 1313.5 | 766.5 | 238.5 | 32 | 32 | 0.000159* |
Breast Symptoms | 1185 | 895 | 367 | 32 | 32 | 0.051914 |
Arm Symptoms | 1009 | 1007 | 481 | 32 | 31 | 0.843099 |
Hair loss | 156.5 | 143.5 | 38.5 | 10 | 14 | 0.064329 |
Source: Research data, 2013.
* Statistically signifi cant
We observed statistically significant differences in the domains Sexual Function (p=0.002), Outlook for the future (p=0.049) and Systemic Effects (p=0.035) in the findings of the second stage of questionnaire BR23 (Table 4).
Table 4. Data from questionnaire BR23 applied in the second stage of the study (n=64). Curitiba - PR 2013
Scores | Sum of ranks | U | N | p-value | ||
---|---|---|---|---|---|---|
IA | IB | IA | IB | |||
Body Image | 924 | 1092 | 428 | 31 | 32 | 0.355903 |
Sexual Function | 1231 | 722 | 226 | 31 | 31 | 0.000240* |
Sexual Pleasure | 228 | 300 | 69 | 11 | 21 | 0.067453 |
Outlook for the future | 847 | 1169 | 351 | 31 | 32 | 0.046449* |
Systemic Effects | 1145 | 871 | 343 | 31 | 32 | 0.035387* |
Breast Symptoms | 994 | 1022 | 494 | 31 | 32 | 0.983665 |
Arm Symptoms | 955.5 | 1060.5 | 459.5 | 31 | 32 | 0.618138 |
Hair loss | 841 | 812 | 406 | 29 | 28 | 1.000000 |
Source: Research data, 2013
* Statistically signifi cant
In the third stage of the instrument there were no statistically significant differences between the items in the two institutions. The item Sexual Pleasure obtained the lowest response rate, and this was expected because it is related to women's intimacy. According to the Scoring Manual da EORTC( 9 ), the variation in the number of responses in the BR23 is expected because the domains Sexual Pleasure and Hair Loss are not applicable when the responses related to these domains are negative.
DISCUSSION
Knowledge of the therapeutic itinerary of women with breast cancer contributes to the planning of nursing care and actions in health care aimed to promote QL. Therefore, knowing the socioeconomic and clinical profile of the patient, as well as the physical, social, emotional and cognitive functions, contributes to reduce the disparities in health, according to demographic, epidemiological and socioeconomic differences.
The age range of women who underwent chemotherapy in the IA was consistent with the national average (52 years)( 13 ). On the other hand, the women treated in the IB were on average under the age group of highest incidence of breast cancer in our country. This difference can be related to the fact that younger women, in reproductive age, are more likely to have their breasts examined in medical consultations. Also, the private health system facilitates the access to early diagnosis( 14 ).
Concerning education, it can be seen that the economically active women in the sample tended to have a higher educational level. This situation was observed in IB. The relationship between educational level and breast cancer indicates that individuals with lower education were less likely to adopt prevention measures against breast cancer. Thus, a higher level of education provides better understanding and consequently increased participation in screening methods ( 15 ).
As for occupation, it was possible to observe that in IB 59% of the women declared themselves as economically active, almost twice the result in IA, a factor that also reflects in the family average pay, which is three times higher in the IB. Some authors stress the importance of the active participation of women in the labor market or in the family environment. Thus, taking a sick-leave for treatment combined to the emotional trauma of being diagnosed with breast cancer and the fear of treatment can have a very negative impact on a woman's life( 9 ), contributing to decrease in QL.
The QL of women with breast cancer can also be affected by the presence of previous pathologies and by some anticancer therapies that can favor the onset or worsen some type of comorbidity, such as cardiovascular diseases, with a negative impact on the prognosis( 16 ). In the present study, 50% of the women had some comorbidity, and SAH was the most prevalent.
The fact that most women did not report being alcoholics or smokers, a factor that predisposes to cancer, was also remarkable. Nevertheless, regarding physical activity, approximately half of both groups of women said they did not practice any physical activity. It is known that regular physical activity is a protective factor against the development of breast cancer( 16 ).
One key aspect of the QL of patients with breast cancer is the time of diagnosis, and the two institutions differed significantly in this regard. The beginning of treatment in IA was almost twice slower than in IB. In an attempt to this problem in Brazil, Law 12.732 came into force in 2013, providing for the beginning of treatment of patients diagnosed with cancer by the SUS (Unified Health System) within 60 days after the diagnosis( 4 ). Regardless of the factors responsible for the delayed treatment after diagnosis, some studies observed that delayed diagnoses and treatment of breast cancer were associated to the worst prognosis( 17 ), and this will cause women to be more likely to require a more aggressive treatment, with greater impact on the QL.
Regarding the data related to questionnaires QLQ-C30 and BR23, in the item general health status, in both institutions, the score was not low, that is, both institutions reported a "satisfactory level" in health status. However, regarding the affected domains, in the first stage of the study, a deficit was observed in Physical Function and the symptom Pain was more frequent in IA, indicating a possible relationship between the time of diagnosis, beginning of treatment and staging of cancer. Cancer pain affects around 50% of the patients at all stages of the disease in 60% to 90% of advanced cancers( 18 ).
Systemic Effects (fatigue, loss of interest in previously pleasurable activities, dyspnea, loss of muscle strength, altered taste, irritability, loss of concentration, gastrointestinal disorders and reduced sexual desire) are more common from the second chemotherapy session ( 7 ). However, they were detected in the patients of group IA, in the first and second stages, possibly related to the late diagnosis, which may lead to AM more aggressive treatment and to the difficulty in obtaining drugs to minimize these symptoms.
As a result of the symptoms, the treatment for breast cancer causes changes in the independence and autonomy of women, generating psychosocial problems. This fact aggravates the functional condition, which involves dependence and loss of identity, besides generating anxiety, fears and impairing emotional function and QL( 1 ).
The possibility of partial or total breast amputation, in addition to increasing pain symptoms, has a direct impact on body image because of its association with femininity, sensuality, sexuality and maternity( 2 ). Just like surgical intervention, systemic treatments (chemotherapy and/or radiotherapy) also cause side effects that can impact body image due to hair loss, skin burns, decreased libido and fertility, as they interfere with the production of sex hormones, leading to vaginal dryness and early menopause in the case of younger patients ( 10 ).
Therefore, body image is understood as a key feature of sexual function, since the maintenance and acceptance of femininity, even after the clinical interventions of the treatment, are essential to the sexual satisfaction of the woman and her partner ( 19 ).
Body image goes beyond visual aspects and comprises the affective, social and physiological experiences that influence the way in which the woman perceives herself. In this regard, body image was found to be more affected by the treatment for the women of group IA, which is correlated to the factors that limit these women in their sociability and result in the low levels of resilience to cope with the disease. (17).
Although Body Image is better rated in group IB, the score for Sexual Function was lower than that of IA, which implies a contradiction with the studies that relate Body Image and Sexual Function. Quantitative studies may cover the entire understanding of Body Image, because it is a subjective perception of one's own body, and that differs for each woman who feels physically invaded and exposed to the changes caused by the treatment ( 1 ).
CONCLUSION
The present study investigated the possible impacts of breast cancer and anticancer treatment cause to the QL of women in public and private health institutions. These impacts were perceived in physical function, sexual function, pain, body image, systemic effects and outlook for the future that affected the QL of the women.
However, it can be inferred that the QL of the women was affected by chemotherapy regardless of the type of institution. Therefore, the outcomes point to the need to know the group of origin of each patient, since this information will be useful for the development of strategies aimed to strengthen specific health measures, resulting in a more targeted and efficient care, which will have a positive impact on the QL.
Women with breast cancer who undergo chemotherapy require whole assistance, and the nursing actions must seek the balance between the maintenance of physical, emotional and social functions of the patients, through the appropriate management of the physiological symptoms caused by chemotherapy drugs, focusing on the quality of life that should be ensured despite the adverse effects of the therapy.