Mental Health Care Utilization and its Barriers among Iranian Breast Cancer Survivors: A Cross-sectional Study

Authors

1 Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran;

2 Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran;

3 Department of Psychology, Shiraz Branch, Islamic Azad University, Shiraz, Iran;

4 Clinical Research Development Center, The Persian Gulf Martyrs Hospital, Bushehr University of Medical Sciences, Bushehr, Iran;

5 Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran;

6 Breast Diseases Research Center, Shiraz University of Medical Sciences, Shiraz, Iran;

7 HIV/AIDS Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: Depression and anxiety are common comorbidities complicating the care of breast
cancer patients, but many patients do not receive the needed care. We aimed to assess utilization of
mental health care and its barriers in breast cancer survivors.
Methods: This cross-sectional study was conducted on 311 patients with breast cancer, in Iran,
November 2021 to March 2022. Perceived need and utilization of mental health care and barriers to
service utilization were measured based on self-report. Depression, Anxiety, and Stress Scale-21 and
Multidimensional Scale of Perceived Social Support were used to assess depression, anxiety, and stress
as well as social support, respectively. A linear and logistic regression model was used to analyze the
data using SPSS version 22. A P-value less than 0.05 was considered statistically significant.
Results: 70.1% of the participants perceived need for mental health care, 28.0% of them had used mental
health services, and 72% were classified as having unmet needs. The most common perceived barrier
to service use was patients’ self-adequacy. The prevalence of extremely severe levels of depression,
anxiety, and stress was 14.8%, 23.5%, and 10.6%. Also, 48.6%, 78.5%, and 75.6% of patients received
a high level of social support from friends, family, and significant others.
Conclusion: Findings highlight a substantial unmet need for mental health care and low utilization of
mental health services among breast cancer survivors. Given the significant prevalence of depression,
anxiety, and stress in this population, it is imperative to address the underutilization of mental health
services and to further examine the barriers preventing patients from seeking the care they require.

Highlights

Hassan Joulaei (Google Scholar) (PubMed)

Zohre Foroozanfar (Google Scholar) (PubMed)

Keywords


INTRODUCTION

Breast cancer diagnosis is a distressing life event that affects the lives of over 2.3 million women every year. 1 Breast cancer is the most common cancer among women worldwide and in the majority of countries. 2 In the Iranian population, it is estimated that more than 14000 new cases of breast cancer are diagnosed annually. 3 The peak age of diagnosis and the median age of breast cancer patients in Iran are significantly lower than those in Europe and North America. 2 Implementation of improved screening programs and access to advanced diagnostic measures and treatment options have provided our patients with an increased survival rate. 4 As such, it is estimated that 80-89 percent of breast cancer patients survive over 5 years after the diagnosis. 5 , 6 This has emphasized the need for an integrative plan of care that sufficiently encompasses mental health services. 4 , 7 , 8

There is evidence that depression and anxiety are more prevalent in breast cancer patients than in the female population without a prior history of cancer. 9 The prevalence of depression and anxiety in breast cancer survivors varies in the literature from 9.4 to 66.1% and 17.9 to 41.9%, respectively. 4 , 10 , 11 However, according to the literature, the coronavirus disease 2019 (COVID-19) pandemic and the subsequent preventive measures have resulted in an increase in these figures. 12 , 13 It has been shown that these psychiatric disorders are associated with poorer medication adherence, worse cancer treatment outcome, and a higher recurrence rate. 14 , 15 Depression is thought to be the most common comorbidity in breast cancer survivors. 4 Furthermore, anxiety has been identified to be the most influential factor in the quality of life of these patients. 15 Early detection and treatment of these conditions would improve patient survival and quality of life. 7 , 16 , 17

One of the predictors of depression and distress among breast cancer survivors is perceived social support. 18 Social support has also been associated with poorer health-related quality of life and health outcomes in breast cancer patients. 19 - 21 A qualitative study of the experience of social support in women with breast cancer reported that these women considered social support to give meaning to their life and create an empathic atmosphere for them in fighting cancer. 19 This highlights the importance of creating and maintaining a good social support network for these patients during their illness.

Proper management modalities for depression and anxiety are available. Psychotherapy has proven useful in treating depression and anxiety in cancer patients as well. 5 , 15 , 17 , 22 Antidepressant medications have been studied in cancer patients and have shown to reduce the symptoms of depression and anxiety. 22 Although these effective options exist, many patients do not receive the care they need from the health care system. 15 , 16 , 23 Some of the major perceived barriers to psychosocial service use in this population have been defined in the literature; lack of feeling the need to seek psychosocial care was recognized as the most commonly stated barrier, followed by adequate support from elsewhere and lack of information about these services. 16 , 24

The majority of the research in the field of mental health aspect of breast cancer has focused on the presence of psychiatric illnesses in cancer survivors; also, few studies have explored the needs for mental health services and the associated barriers to service use. 16 , 25 The significant impact of psychiatric illness on both patients’ quality of life and breast cancer care warrants further evaluation of the need for mental health care and utilization in this population. 26

The objectives of the current study were to firstly examine the perceived need for and utilization of mental health care and its barriers from the breast cancer survivors’ point of view. Secondly, we aimed to assess the prevalence of depression, anxiety, and stress as well as their associated factors in order to obtain a more objective estimate of the need for mental health care in these patients.

MATERIALS AND METHODS

This is a cross-sectional study. The data were collected at Motahari Multi-specialty Clinic, Shiraz, Iran from November 2021 to March 2022. This clinic is one of the largest centers for referral of breast cancer patients in Southwestern Iran. Cochran formula was employed to estimate the size of the sample in this study: z is 1.96 in the case of a 95% confidence interval, and p is the proportion of the population with depression; based on a recent meta-analysis, 4 this figure is about 0.468, and d is the desired margin of error (0.12p was used in this study). 27 Accordingly, a sample size of 303 individuals was required to conduct this study.

n=z2p(1-p)d2

Women over 18 years of age, with diagnosis of breast cancer, and consent to participate in the study were considered as inclusion criteria. Individuals who were unable to understand the data collection forms due to a language barrier and those who incompletely filled out the forms, which was considered a lack of engagement or willingness to participate, were excluded from the study. Cancer stage and whether or not patients had completed the course of their treatment were not considered as inclusion criteria in the present study. Considering an estimated 5% drop-out, a total of 320 women were enrolled in the study. After applying the exclusion criteria, we removed 9 forms from the study. Finally, the sample of the study consisted of 311 breast cancer survivors visiting the afore-mentioned center for oncologic follow-up, and recruitment was done using convenient sampling. Sampling and data collection were performed minutes before the patients’ visit with their surgical oncologist. This study has been reviewed and approved by the ethics committee of Shiraz University of Medical Sciences with the code number of IR.SUMS.REC.1400.498. Participants signed the written informed consent form before data collection which took place minutes before their outpatient follow-up visit with the oncologist.

Socio-demographic data (age, marital status, self and husbands’ education, employment status, insurance, and socioeconomic status) were obtained based on the patients’ self-report. Clinical data (time since cancer diagnosis, disease stage, past treatments, history of other diseases, and family history of cancer) were collected using the patients’ records.

Assessment of the patients’ perceived need for mental health care and utilization of these services are commonly achieved through a straightforward question for each of these variables. 28 - 30 In this study, two questions about the patients’ perceived need for mental health care were asked based on their self-report: one regarding the perceived need for mental health care before the breast cancer diagnosis and the other since the diagnosis. Both questions are scored using a four-point Likert type scale, and the answers range from ‘not having felt any sorts of need’ (1) to ‘strongly felt the need’ (4). Participants with any needs (options 2 to 4) were asked regarding their mental health service utilization (yes/no). Patients with any need who used mental health services were classified as having “partially or fully met needs” and patients with any needs who had not used mental health services were classified as having “unmet needs.” Based on the initial response, follow up questions instructed them to choose either the service provider, the type of service received, their overall satisfaction, and their perceived barriers to service use from the 12 listed options which included distance from service providers, inability to pay for services, dissatisfactory previous experience, concerns regarding privacy, long waiting lists, unwillingness, lack of knowledge about how to access care, lack of enough time, family disapproval of seeking mental health care, concerns about stigma, preference to deal with it alone (self-adequacy), and use of alternative/integrative medicine options. As to the service provider, type of service, and perceived barriers to service use, the respondents were able to choose multiple options.

Depression, Anxiety, and Stress Scale-21 (DASS-21) is a self-report instrument that evaluates symptoms of depression, anxiety, and stress with seven items for each of the subscales. Participants rated how well each of the twenty-one statements applied to them on a four-point scale, ranging from ‘does not apply to me at all’ (0) to ‘applies to me very much’ (3). 31 , 32 Higher scores indicate more severe psychological distress. Subcategories of DASS-21 scores include normal, mild, moderate, severe, and extremely severe levels of depression, anxiety, and stress. The DASS-21 has been tested in both clinical and non-clinical settings. Internal consistency of the instrument was found to be adequate for both depression and anxiety in cancer patients (Cronbach’s alpha of 0.90 and 0.70, respectively) and control populations (Cronbach’s alpha of 0.93 and 0.80, respectively). The construct of the questionnaire was found to be valid as the subscales showed a significant correlation with quality of life and depressed mood measurements. 33 The Persian version of the DASS-21 had been previously adapted and validated within a three-factor model, with calculated Cronbach’s alpha of 0.75 to 0.86 across its domains, showing the reliability of the instrument. 32 , 34

Multidimensional Scale of Perceived Social Support (MSPSS) Developed by Zimet et al. with the 12-item MSPSS scale was used to assess the level of perceived social support of the respondents from three different sources including family, friends, and significant others. The instrument incorporates four statements for each subscale and uses a seven-point Likert type system ranging from ‘very strongly disagree’ (1) to ‘very strongly agree’ (7). Higher scores indicate stronger social support, allowing for grouping of social support into low, medium, and high levels. 35 , 36 This instrument has been studied in cancer populations. One study found that Cronbach’s alpha exceeded 0.90, showing its reliability; also, the 3 subscales significantly correlated with those of the Satisfaction with Life Scale, demonstrating that the tool offers a valid measurement of social support in these patients. 37 The reliability and validity of the MSPSS instrument in the Iranian population had been shown to be adequate. Cronbach’s α coefficient was found to be 0.84 for the scale and 0.85 or higher for each of the domains, and was sufficiently stable (0.84) after a two-month period. 36

SPSS version 22 and Graph Pad Prism software version 9 were employed to analyze the data. Qualitative variables were described by number and percentage and quantitative variables were reported as mean±standard deviation. Linear regression model was used to assess the factors related to depression, anxiety and stress based on DASS-21 questionnaire, and logistic regression model was used to assess the factors related to mental health service use. Also, Spearman correlation coefficient was used to assess the correlation between the perceived need for mental health care with DASS-21 questionnaire domains. A significance level of 0.05 was considered for this study.

RESULTS

The study enrolled 311 women with breast cancer, and the participants ranged in age from 30 to 84 years with a mean of 52.26±9.66 years. Two hundred and fifty-three patients were married (81.4%), duration of disease in 111 (35.7%) patients was more than five years, stage 2 disease had the highest frequency in patients (146; 46.9%), and 294 (94.5%) patients had a history of surgery. Other demographic and clinical characteristics of the participants are reported in Table 1.

Variable N (%) Variable N (%)
Marital status Time Since Cancer Diagnosis
Never married 20 (6.4) Less than a year 49 (15.8)
Married 253 (81.4) 1-3 years 94 (30.2)
Widowed 32 (10.3) 3-5 years 57 (18.3)
Divorce 6 (1.9) More than 5 years 111 (35.7)
Patient’s Education Time Since Cancer Treatment Started
Elementary level or less 114 (36.7) Less than a year 52 (16.7)
Not finished high school 48 (15.4) 1-3 years 92 (29.6)
High school graduate 93 (29.9) 3-5 years 63 (20.3)
Associate degree/ Bachelors 46 (14.8) More than 5 years 104 (33.4)
Post graduate 10 (3.2) Cancer stage
Husband’s Education (n=253) Stage 0 26 (8.4)
Elementary level or less 65(25.7) Stage 1 74 (23.8)
Not finished high school 59(23.3) Stage 2 146 (46.9)
High school graduate 85(33.6) Stage 3 60 (19.3)
Associate degree/ Bachelors 33(13.0) Stage 4 5 (1.6)
Post graduate 11(4.3) Cancer Treatments
Patient’s Job Neoadjuvant Chemotherapy 69 (22.2)
Housewife 224 (72.0) Radiotherapy 188 (60.5)
Employee 32 (10.3) Surgery 294 (94.5)
Worker 6 (1.9) Adjuvant Chemotherapy 236 (75.9)
Self-employed 12 (3.9) Positive Family History of Cancer 78 (25.1)
Retiree 32 (10.3) History of other diseases
Other 5 (1.6) Diabetes Mellitus 54 (17.4)
Husbands’ Job (n=253) Hypertension 53 (17.0)
Unemployed 23 (9.1) Cardiovascular diseases 22 (7.1)
Employee 33 (13.1) Other cancers 4 (1.3)
Worker 40 (15.8) Renal diseases 17 (5.5)
Self-employed 76 (30.0) Hypothyroidism 26 (8.4)
Retiree 69 (27.3) Gastrointestinal diseases 16 (5.1)
Other 12 (4.7) Autoimmune diseases 12 (3.9)
Socioeconomic Status Psychiatric diseases 17 (5.5)
Very Low 66 (21.2) Other disease 18 (5.8)
Low 82 (26.4) Having insurance 306 (98.4)
Middle 142 (45.7) Having supplementary insurance 172 (55.3)
High 20 (6.4)
Very High 1 (0.3)
Table 1.Demographic and clinical characteristics of the participants

The prevalence of the highest level of perceived need for mental health care was 21.5% before the breast cancer diagnosis and 25.1% after the diagnosis; this difference was statically significant (P<0.001). Also, based on the DASS-21 questionnaire, the prevalence of extremely severe level of depression, anxiety, and stress was 14.8%, 23.5%, and 10.6% (Table 2). There was a significant correlation between the results of the level of perceived need for mental health care after the diagnosis with depression (r=0.35; P<0.001), anxiety (r=0.41; P<0.001), and stress (r=0.38; P<0.001).

Variable N (%)
Perceived need for mental health care before breast cancer diagnosis
None 147 (47.3)
Low 51 (16.4)
Middle 46 (14.8)
High 67 (21.5)
Perceived need for mental health care since breast cancer diagnosis
None 93 (29.9)
Low 81 (26.0)
Middle 59 (19.0)
High 78 (25.1)
Results based on DASS-21 questionnaire
Depression
Normal 144 (46.3)
Mild 37 (11.9)
Moderate 50 (16.1)
Severe 34 (10.9)
Extremely severe 46 (14.8)
Anxiety
Normal 123 (39.5)
Mild 23 (7.4)
Moderate 67 (21.5)
Severe 25 (8.0)
Extremely severe 73 (23.5)
Stress
Normal 143 (46.0)
Mild 38 (12.2)
Moderate 38 (12.2)
Severe 59 (19.0)
Extremely severe 33 (10.6)
Table 2.The patients’ perceived need for mental health care and depression, anxiety and stress status

Based on the results displayed in Table 3, among those who reported any needs (low to high perceived need) for mental health care since breast cancer diagnosis (218 patients; 70.1% of the total sample), 61 (28.0%) patients had used mental health care services, and this group was classified as having “partially or fully met needs”. Most of them, comprising 38 patients (62.3%), received medications; 19 participants (31.1%) were more likely to seek care at private clinics, and 19 (31.1%) patients reported high levels of satisfaction. Also, 157 (72.0%) patients, who reported any perceived needs for mental health care, did not receive mental health services, and this group was classified as having “unmet needs.” The most common perceived barriers for them were ‘self-adequacy’ in 56 (35.7%) and ‘unwillingness’ in 51 (32.5%) patients. Based on logistic regression, duration of the disease (OR 1.43; 95% CI: 1.04 to 1.96; P=0.029) and duration since the start of cancer treatments (OR 1.39; 95% CI 1.02 to 1.91; P=0.046) were significantly associated with mental health service use in those who reported any needs for mental health care.

N (%)
Patients who used mental health services (n=61)
Type of Mental Health Care Provider
Family Physician / General Practitioner 10 (16.4)
Private-practice Psychiatrist / Psychologist 19 (31.1)
Psychiatric Hospital 2 (3.3)
Public-practice Psychiatrist (Outpatient Clinic) 17 (27.9)
Public Health Care Centers 5 (8.2)
Counseling Institutions 5 (8.2)
Tele-mental Health 3 (4.9)
Type of Services Received
Getting information about the psychiatric illnesses 10 (16.4)
Receiving medication 38 (62.3)
Counseling and psychotherapy 23 (37.7)
Hospitalization 3 (4.9)
Overall Satisfaction with the Quality Services
Low 11 (18.0)
Moderate 31 (50.8)
High 19 (31.1)
Patients who did not use mental health services (n=157)
Barriers for not using mental health services
Distance from service providers 22 (14.0)
Unable to pay for service 36 (22.9)
Dissatisfactory previous experience 5 (3.2)
Concerns regarding privacy 5 (3.2)
Long waiting lists 13 (8.3)
Unwillingness 51 (32.5)
Not knowing how to access care 25 (15.9)
Not having enough time 18 (11.5)
Family disapproves of it 4 (2.5)
Concerns about stigma 14 (8.9)
Prefer dealing with it alone (self-adequacy) 56 (35.7)
Using alternative / integrative medicine options 20 (12.7)
Table 3.Mental health service utilization in patients who perceived any needs for mental health care (n=218)

Based on the MSPSS, 151 (48.6%), 244 (78.5%), and 235 (75.6%) patients had received a high level of social support from friends, family, and significant others (Table 4). According to the results shown in Figure 1, 72.3%, 75.4%, and 75.4% of patients who had extremely severe level of depression, anxiety, and stress did not report using mental health services, and these percentages were higher in lower levels of depression, anxiety, and stress.

Variable N (%)
Friends support
Low support 67 (21.5)
Medium support 93 (29.9)
High support 151 (48.6)
Family support
Low support 21 (6.8)
Medium support 46 (14.8)
High support 244 (78.5)
Significant Other support
Low support 25 (8.0)
Medium support 51 (16.4)
High support 235 (75.6)
Table 4.Patients’ perceived social support based on multidimensional scale of perceived social support

Figure 1. The percentage of patients who did not use mental health services based on depression, anxiety, and stress

The factors related to patients’ depression, anxiety, and stress based on the DASS-21 questionnaire are reported in Table 5. Higher levels of patients’ education (β=-1.6; P=0.003), husbands’ education (β=-1.55; P=0.013), socioeconomic status (β=-2.92; P<0.001), and perceived social support (friends (β=-2.08; P=0.010), family (β=-5.79; P<0.001) and significant others (β=-3.76; P<0.001) were significantly associated with a lower score of depression. Moreover, history of cardiovascular disease (β=5.51; P=0.027) and psychiatric disease (β=7.44; P=0.008) were significantly associated with a higher score of depression. Socioeconomic status (β=-1.83; P=0.004), family (β=-4.65; P<0.001), and significant other’s support (β=-3.08; P<0.001)) were significantly associated with a lower score of anxiety. Also, history of psychiatric disease (β=8.65; P<0.001) was significantly associated with a higher score of anxiety. The score of stress was significantly decreased with a higher level of patients’ education (β=-1.75; P<0.001), husbands’ education (β=-2.06; P<0.001), socioeconomic status (β=-2.84; P<0.001), and social support (friends (β=-2.38; P=0.004), family (β=-4.8; P<0.001) and significant others (β=-2.20; P=0.038)); however, this score was significantly increased with a history of psychiatric disease (β=6.35; P=0.027), radiotherapy (β=3.79; P=0.004), and surgery (β=3.08; P=0.029).

Variables B SE CI 95% aP value
Depression
Patients’ Education -1.60 0.52 -2.64 to -0.56 0.003
Husbands’ education -1.55 0.62 -2.78 to -0.33 0.013
Socioeconomic status -2.92 0.69 -4.29 to -1.55 <0.001
History of cardiovascular disease 5.51 2.49 0.61 to 10.41 0.027
History of psychiatric diseases 7.44 2.79 1.93 to 12.95 0.008
Friends support -2.08 0.80 -3.66 to -0.50 0.010
Family support -5.79 1.05 -7.87 to -3.71 <0.001
Significant other support -3.76 1.02 -5.77 to -1.75 <0.001
Anxiety
Socioeconomic status -1.83 0.63 -3.08 to -0.58 0.004
History of psychiatric diseases 8.65 2.49 3.74 to 13.56 <0.001
Friends support -1.07 0.72 -2.51 to 0.35 0.139
Family support -4.65 0.95 -6.54 to -2.77 <0.001
Significant other support -3.08 0.92 -4.89 to -1.27 <0.001
Stress
Patients’ Education -1.75 0.53 -2.80 to -0.69 <0.001
Husbands’ education -2.06 0.62 -3.28 to -0.83 <0.001
Socioeconomic status -2.84 0.71 -4.24 to -1.44 <0.001
Radiotherapy 3.79 1.32 1.19 to 6.40 0.004
Surgery 3.08 1.40 1.08 to 7.51 0.029
History of psychiatric diseases 6.35 2.85 0.73 to 11.98 0.027
Friends support -2.38 0.81 -3.98 to -0.78 0.004
Family support -4.8 1.09 -6.99 to -2.68 <0.001
Significant other support -2.20 1.05 -4.28 to -0.12 0.038
aLinear regression model
Table 5.Factors related to patients’ depression, anxiety and stress

DISCUSSION

In the present cross-sectional study of women with breast cancer, the majority of the participants had mild to extremely severe levels of both anxiety and depression; however, about two-thirds of the patients reported perceived need for mental health care since their cancer diagnosis, with only 28% of them having sought such care. Depression and stress were negatively associated with the level of education, socioeconomic status, and social support. Similarly, anxiety was negatively correlated with socioeconomic status and social support. It should be noted that all three subscales of the sources of social support, namely, friends, family, and significant others were found to be negatively associated with depression, anxiety, and stress.

In this study, mild to extremely severe levels of depression, anxiety, and stress based on the DASS-21 questionnaire were 53.7%, 60.5%, and 54.0%, respectively. According the results of meta-analysis studies, the prevalence of depression and anxiety in the breast cancer population is 49.9% and 41.9%, respectively. 11 , 38 A meta-analysis of 18 studies reported that the prevalence of depression in women with breast cancer ranged from 14.0% to 95.90%. They emphasized the urgent need for psychological interventions and the will of care programs for these patients. 4 It seems that the economic changes and rising inflation in the recent years in different parts of the world, and prominently in Iran, have played a negative role in the patients’ mental health. 39 , 40

Based on the results of the present study about 70.1% of the participants reported perceived need for mental health care. The results of a study in the United States showed that 33% of breast cancer patients needed psychosocial services after diagnosis. 41 Longer duration since the diagnosis of breast cancer and start of cancer treatments were significantly associated with higher use of mental health services. Evidence emphasizes the need for a preventive approach to mental health care in breast cancer patients, early recognition of signs and symptoms of depression and anxiety by the treating oncologist and primary care physician, and measures to be taken for proper referral to a mental health professional when necessary. 42

Utilization of mental health care in the participants who expressed perceived need for receiving mental health services in the present study was 28%. This finding is comparable to prior research. 41 In a large observational study of anxiety and psychotherapy/integrative medicine service use on 1085 females with non-metastatic breast cancer treated with aromatase inhibitors concluded that 40% of patients with elevated anxiety had used those services. 15 The sample for the aforementioned study was unique in that it consisted of highly educated patients with 79.6% having a college education or higher. Another study which examined depression and anxiety in breast cancer patients with metastatic disease reported that only 29% of patients with significant anxiety or depressive symptoms had access to mental health services. 43

In this study, self-adequacy and patients’ unwillingness to seek professional help were the prominent reasons for barriers to mental health service use. Similarly, in a sample of 265 breast cancer survivors, more than half of the participants reported they could deal with their emotional problems themselves and did not feel the need for professional help. 16 In the present study, other frequently stated barriers to mental health service use were concerns related to financial aspects, stigma, and accessibility of these services. Some researchers believed that mental health services were too expensive. 16 Addressing the needs of cancer patients may also require fighting barriers such as stigma. Evidence shows that relatively short educational programs can significantly improve attitudes about mental illness. 44 In another study, the lack of access to mental health services and the stigma associated with mental illnesses and psychological services were among the reported barriers to using mental health services in affected patients. 45

Regarding the perceived economic barriers to mental health service use, in this study, a significant association was not observed between socioeconomic status and the use of mental health care. However, 22.9% of the patients who had any levels of perceived need for mental health care also reported financial barriers to accessing these services. We hypothesize that these patients are at higher risk of postponing seeking mental health care and refusing to pursue treatment when suggested by other clinicians due to the fear of inability to afford such treatments. This fear can be thought of as having multiple different economic aspects. It might be rooted in the inability to afford the out-of-pocket portion of the cost of the mental health care or its significant impact on the household economy, or an unrealistic image of the cost of mental health care.

Previous research indicates that social support is beneficial to breast cancer patients in coping with the stress and depression of the disease. 46 , 47 The results of a study in Ethiopia showed that depression was associated with poor social support given by family, friends, and significant others. 48 We showed that more than 75% of patients received high social support from their family and significant others; also, high levels of perceived social support were associated with lower scores of depression, anxiety, and stress. These findings indicate the importance of strengthening the social support system for breast cancer patients.

The results of the present study showed that high socioeconomic levels and high education in patients were associated with a decrease in depression and stress. Also, an inverse correlation between anxiety and socioeconomic status was noted in this study. In line with our findings, other studies also showed that more care and support should be given to less educated patients and people with lower socioeconomic status because they are at high risk of anxiety and depression. 49 , 50 This evidence shows the negative impact of low socioeconomic levels on mental health outcomes; therefore, timely identification of people at risk of mental problems is necessary for mental health interventions in this population.

The results of our study showed that the presence of psychiatric problems in breast cancer patients was associated with a higher score for depression, anxiety, and stress. Furthermore, in our study, cardiovascular diseases were linked with higher levels of depression. There is evidence of an additive or synergistic effect between a history of cardiovascular disease and cancer for depression in the literature. 51 The results of various studies show that the presence of comorbidities in breast cancer patients increases the risk of depression. 5 , 52 These findings reveal that the presence of comorbidities at the time of diagnosis of cancer can be a very important predictor for the risk of depression and mental problems in these patients.

Our study has several strengths. To our knowledge this is the largest study of mental health care needs, utilization, and the related barriers among women with breast cancer. Moreover, assessment of depression, anxiety, stress, and social support in this study allowed for a better understanding of the state of the mental health of breast cancer survivors.

The results of the present study should be interpreted within the frame of the study limitations. The setting chosen for this study was a single tertiary care center with a large population of low-to-middle-income families, as it was also reflected in the study sample. This limits the generalizability of the findings of the study to other populations and settings. Although the type of psychiatric treatments was provided by the respondents, the data gathered in this study did not include frequency and length of psychotherapy or hospitalization, modality of psychotherapy, and type, dosage and length of the medication treatment plan.

CONCLUSION

The results of the present study showed a high level of need for mental health care and the association it has with depression, anxiety, and stress in breast cancer patients. Mental health service use is low and many patients are not receiving the help they need. The findings of this study also note that these patients receive good social support and that it is linked with better psychological well-being. The initial step in addressing low care utilization is a qualitative research approach to further clarify the barriers to service use. Also, trials of different interventions, designed and tested for various breast cancer patient populations, would offer policymakers more insight into the available options.

ACKNOWLEDGEMENT

The authors would like to appreciate all females with breast cancer for their participation and then all staff and managers of breast cancer clinic of the Motahari sub-specialty complex who support us to run interviews with the participants and made available their records. We would appreciate the Deputy for Research of Shiraz University of Medical Sciences (SUMS) for its cooperation and financial support.

Conflict of Interest:

None declared.

References

  1. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians. 2021; 71:209-49.
  2. Lei S, Zheng R, Zhang S, et al. Global patterns of breast cancer incidence and mortality: A population-based cancer registry data analysis from 2000 to 2020. Cancer Communications. 2021; 41:1183-94.
  3. Ataeinia B, Saeedi Moghaddam S, Shabani M, et al. National and Subnational Incidence, Mortality, and Years of Life Lost Due to Breast Cancer in Iran: Trends and Age-Period-Cohort Analysis Since 1990. Frontiers Oncology. 2021; 11:561376.
  4. Ahmadi Gharaei H, Dianatinasab M, Kouhestani SM, et al. Meta-analysis of the prevalence of depression among breast cancer survivors in Iran: an urgent need for community supportive care programs. Epidemiology and Health. 2019; 41:e2019030.
  5. Syrowatka A, Motulsky A, Kurteva S, et al. Predictors of distress in female breast cancer survivors: a systematic review. Breast Cancer Research and Treatment. 2017; 165:229-45.
  6. Abedi G, Janbabai G, Moosazadeh M, et al. Survival Rate of Breast Cancer in Iran: A Meta-Analysis. Asian Pacific Journal of Cancer Prevention. 2016; 17:4615-21.
  7. Fatiregun OA, Olagunju AT, Erinfolami AR, et al. Relationship between anxiety disorders and domains of health related quality of life among Nigerians with breast cancer. Breast. 2017; 31:150-6.
  8. Recklitis CJ, Syrjala KL. Provision of integrated psychosocial services for cancer survivors post-treatment. Lancet Oncology. 2017; 18:e39-50.
  9. Carreira H, Williams R, Müller M, et al. Associations between breast cancer survivorship and adverse mental health outcomes: A systematic review. Journal of the National Cancer Institute. 2018; 110:1311-27.
  10. Hashemi SM, Rafiemanesh H, Aghamohammadi T, et al. Prevalence of anxiety among breast cancer patients: a systematic review and meta-analysis. Breast Cancer. 2020; 27:166-78.
  11. Rezagholi P, Abdi K, Barzanji A, et al. Prevelence of depression in Iranian women with breast cancer: a systematic review and meta-analysis. Przegla̧d Epidemiologiczny. 2022; 76:29-36.
  12. Bargon CA, Batenburg MCT, van Stam LE, et al. Impact of the COVID-19 Pandemic on Patient-Reported Outcomes of Breast Cancer Patients and Survivors. JNCI Cancer Spectrum. 2021; 5:pkaa104.
  13. Rentscher KE, Zhou X, Small BJ, et al. Loneliness and mental health during the COVID-19 pandemic in older breast cancer survivors and noncancer controls. Cancer. 2021; 127:3671-9.
  14. Wang X, Wang N, Zhong L, et al. Prognostic value of depression and anxiety on breast cancer recurrence and mortality: a systematic review and meta-analysis of 282,203 patients. Molecular Psychiatry. 2020; 25:3186-97.
  15. Trevino KM, Iyengar N, Li Q, Mao JJ. Receipt of psychological counseling and integrative medicine services among breast cancer survivors with anxiety. Breast Cancer Research and Treatment. 2020; 184:301-10.
  16. Costas-Muniz R, Garduno-Ortega O, Hunter-Hernandez M, et al. Barriers to Psychosocial Services Use For Latina Versus Non-Latina White Breast Cancer Survivors. American Journal of Psychotherapy. 2021; 74:13-21.
  17. Matthews H, Grunfeld EA, Turner A. The efficacy of interventions to improve psychosocial outcomes following surgical treatment for breast cancer: a systematic review and meta-analysis. Psychooncology. 2017; 26:593-607.
  18. Carreira H, Williams R, Müller M, et al. Associations Between Breast Cancer Survivorship and Adverse Mental Health Outcomes: A Systematic Review. Journal of the National Cancer Institute. 2018; 110:1311-27.
  19. Mokhtari L, Markani AK, Khalkhali HR, Feizi A. The perceived social support by Iranian women with breast cancer: a qualitative study. Supportive Care in Cancer. 2022; 30:941-9.
  20. Zhang H, Zhao Q, Cao P, Ren G. Resilience and Quality of Life: Exploring the Mediator Role of Social Support in Patients with Breast Cancer. Medical Science Monitor. 2017; 23:5969-79.
  21. Ho PJ, Gernaat SAM, Hartman M, Verkooijen HM. Health-related quality of life in Asian patients with breast cancer: a systematic review. BMJ Open. 2018; 8:e020512.
  22. Yi JC, Syrjala KL. Anxiety and Depression in Cancer Survivors. The Medical Clinics of North America. 2017; 101:1099-113.
  23. Forsythe LP, Kent EE, Weaver KE, et al. Receipt of psychosocial care among cancer survivors in the United States. Journal of Clinical Oncology. 2013; 31:1961-9.
  24. Dilworth S, Higgins I, Parker V, et al. Patient and health professional’s perceived barriers to the delivery of psychosocial care to adults with cancer: a systematic review. Psychooncology. 2014; 23:601-12.
  25. Purushotham A, Bains S, Lewison G, et al. Cancer and mental health--a clinical and research unmet need. Annals of Oncology. 2013; 24:2274-8.
  26. Lovelace DL, McDaniel LR, Golden D. Long-Term Effects of Breast Cancer Surgery, Treatment, and Survivor Care. Journal of Midwifery & Women’s Health. 2019; 64:713-24.
  27. Cochran WG. Sampling Techniques. John Wiley &amp; Sons: US; 1977.
  28. Pasli M, Tumin D. Children’s unmet need for mental health care within and outside metropolitan areas. Pediatrics and Neonatology. 2022; 63:512-9.
  29. Knudsen AKS, Skogen JC, Stene-Larsen K, et al. Met and unmet need for mental health care before and during the COVID-19 pandemic. European Journal of Public Health. 2022; 32:49-51.
  30. Alang S, Rogers TB, Williamson LD, et al. Police brutality and unmet need for mental health care. Health Services Research. 2021; 56:1104-13.
  31. Brown TA, Chorpita BF, Korotitsch W, Barlow DH. Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples. Behaviour Research and Therapy. 1997; 35:79-89.
  32. Salari-Moghaddam S, Ranjbar AR, Fathi-Ashtiani A. Validity and Reliability measurement of the Persian version of anxiety Control Questionnaire. Journal of Clinical Psychology. 2018; 9:33-43. [In Persian].
  33. Fox RS, Lillis TA, Gerhart J, et al. Multiple Group Confirmatory Factor Analysis of the DASS-21 Depression and Anxiety Scales: How Do They Perform in a Cancer Sample?. Psychological Reports. 2018; 121:548-65.
  34. Kakemam E, Navvabi E, Albelbeisi AH, et al. Psychometric properties of the Persian version of Depression Anxiety Stress Scale-21 Items (DASS-21) in a sample of health professionals: a cross-sectional study. BMC Health Services Research. 2022; 22:111.
  35. Zimet GD, Powell SS, Farley GK, et al. Psychometric characteristics of the Multidimensional Scale of Perceived Social Support. Journal of Personality Assessment. 1990; 55:610-7.
  36. Bagherian-Sararoudi R, Hajian A, Ehsan HB, et al. Psychometric properties of the Persian version of the multidimensional scale of perceived social support in Iran. International Journal of Preventive Medicine. 2013; 4:1277-81.
  37. Calderón C, Ferrando PJ, Lorenzo-Seva U, et al. Multidimensional Scale of Perceived Social Support (MSPSS) in cancer patients: psychometric properties and measurement invariance. Psicothema. 2021; 33:131-8.
  38. Maass SWMC, Roorda C, Berendsen AJ, et al. The prevalence of long-term symptoms of depression and anxiety after breast cancer treatment: A systematic review. Maturitas. 2015; 82:100-8.
  39. Rus Prelog P, Matic T, Pregelj P, Sadikov A. Risk of Depression, Anxiety, and Stress During the Second Wave of COVID-19 in Slovenia. Frontiers in Psychiatry. 2022; 12:788898.
  40. Rodriguez L, Atamanov A. Welfare and Distributional Impacts of Inflation and the COVID-19 Outbreak in the Islamic Republic of Iran. World Bank Group: Washington; 2021.
  41. Costas-Muniz R, Hunter-Hernandez M, Garduno-Ortega O, et al. Ethnic differences in psychosocial service use among non-Latina white and Latina breast cancer survivors. Journal of Psychosocial Oncology. 2017; 35:424-37.
  42. Niedzwiedz CL, Knifton L, Robb KA, et al. Depression and anxiety among people living with and beyond cancer: a growing clinical and research priority. BMC Cancer. 2019; 19:943.
  43. Mosher CE, Duhamel KN. An examination of distress, sleep, and fatigue in metastatic breast cancer patients. Psychooncology. 2012; 21:100-7.
  44. Matthews AK, Corrigan PW, Rutherford JL. Mental illness stigma as a barrier to psychosocial services for cancer patients. Journal of the National Comprehensive Cancer Network. 2003; 1:375-9.
  45. Gurren L, O’Sullivan E, Keogh I, Dunne S. Barriers to accessing psycho-oncological support in head and neck cancer: A qualitative exploration of healthcare professionals’ perspectives. European Journal of Oncology Nursing. 2022; 58:102145.
  46. Ng CG, Mohamed S, See MH, et al. Anxiety, depression, perceived social support and quality of life in Malaysian breast cancer patients: a 1-year prospective study. Health and Quality of Life Outcomes. 2015; 13:205.
  47. Nurasyikin Z, Ihsani MM, Zulkifli SZS, et al. Depression, Anxiety, Stress and Perceived Social Support Among Breast Cancer Survivors in Tertiary Hospital in Malaysia. KnE Life Sciences. 2018; 4:232-40.
  48. Wondimagegnehu A, Abebe W, Abraha A, Teferra S. Depression and social support among breast cancer patients in Addis Ababa, Ethiopia. BMC Cancer. 2019; 19:836.
  49. Sun L, Yan J, Wang L. Postoperative depression in female patients with breast cancer surgery: an analysis of risk factors and assessment of the efficacy of comprehensive nursing intervention. International Journal of Clinical and Experimental Medicine. 2019; 12:972-80.
  50. Ilie G, Rutledge R, Sweeney E. An Examination of the Role of Socioeconomic Status in the Relationship between Depression and Prostate Cancer Survivorship in a Population-Based Sample of Men from Atlantic Canada. Oncology. 2021; 99:260-70.
  51. Schoormans D, Widdershoven JW, Mommersteeg PMC. Cancer comorbidity in patients with non-obstructive coronary artery disease: Depressive symptoms related to C-reactive protein. Brain, Behavior, & Immunity Health. 2020; 5:100088.
  52. Petrova D, Catena A, Rodriguez-Barranco M, et al. Physical Comorbidities and Depression in Recent and Long-Term Adult Cancer Survivors: NHANES 2007-2018. Cancers. 2021; 13:3368.