# Psychosocial and Quality of Life in Women Receiving the 21-Gene Recurrence Score Assay: The Impact of Decision Style in Women with Intermediate RS

Authors: Nadiyah Sulayman; Elizabeth Spellman; Kristi D. Graves; Beth N. Peshkin; Claudine Isaacs; Marc D. Schwartz; Suzanne C. O’Neill
Journal: Journal of Cancer Epidemiology
 (2012)

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## Abstract

Multigene assays such as the 21-gene recurrence score (RS) quantify risk for recurrence and potential benefit from chemotherapy in early-stage, ER+ breast cancers. Few studies have assessed the impact of testing on patient-reported outcomes such as cancer-related distress or quality of life. The few studies that have assessed these outcomes do not consider potential modifiers, such as the patients’ level of involvement in the treatment decision-making process.  In the current study, 81 breast cancer patients who received the RS assay completed cross-sectional surveys.  We used linear multiple regression to assess whether test result, decision-making role (passive versus shared/active), and their interaction contributed to current levels of distress, quality of life, and decisional conflict.  There were no associations between these variables and test result or decision-making role. However, women who received an intermediate RS and took a passive role in their care reported higher-cancer-related distress and cancer worry and lower quality of life than those who took a shared or active role.  These data should be confirmed in prospective samples, as these poorer outcomes could be amenable to intervention.


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## Body

## 1. Introduction

Improvements in our understanding of the molecular mechanisms of breast cancer progression, diagnosis, and treatment represent a major advance [1]. Genomic profiling of breast tumors increasingly is being used clinically to refine recurrence estimates and guide adjuvant treatment decisions in early-stage, hormone-receptor positive breast cancer [2] and has been integrated into clinical guidelines for this group of patients [3, 4]. The 21-gene recurrence score (RS) assay (Oncotype DX; Genomic Health Inc., Redwood City, CA) quantifies risk of recurrence in patients with early stage, estrogen-receptor- (ER-) positive breast cancer treated with tamoxifen. While data have accumulated to support treatment recommendations for the 25% of women who receive high RS and 50% who receive low RS, [5, 6] recommendations for the remaining quarter of patients with intermediate RS remain less clear pending additional trials, presenting a clinical challenge [7]. Like other cancer treatment decisions which involve more than one appropriate treatment option [8, 9], the uncertainty related to this clinical equipoise could require patients to take more active roles in their treatment decision-making than those who receive a high or low RS.Several studies demonstrate that the RS impacts treatment decisions for physicians and patients [10–14]. Specifically, RS information changes oncologists’ chemotherapy treatment recommendations in 25%–44% of cases [11, 13, 15], usually from combined chemohormonal therapy to hormone therapy alone [10, 11, 16]. However, few studies demonstrate how the RS relates to patient decision-making processes or patient-reported psychosocial and quality of life outcomes. Lo et al. [17] reported that decisional conflict and anxiety decline in the year after receipt of the RS and that quality of life remains stable [17], but they did not assess whether outcomes vary by test result or patient-related factors. Previous research demonstrates that many women who receive their RS do not take part in the treatment decision-making process as they would prefer [18, 19]. While meeting these decision role preferences has been linked to improved patient outcomes [20, 21], breast cancer patients who take a passive role in treatment decision-making report lower quality of life and higher distress than women who take an active or shared role, regardless of their preferred decision-making role [22–24]. Therefore, patient involvement in how the RS informs adjuvant care decisions could relate to differential psychosocial and quality-of-life outcomes among tested women. Active or shared involvement with treatment decision-making may be most appropriate in clinical circumstances in which evidence is either incomplete or suggests more than one option could be appropriate [25, 26]. While breast cancer treatment decisions often involve multiple options and decision points, in the context of the Oncotype RS, active or shared decision making may be particularly salient for women who receive an intermediate RS given the current absence of standard treatment recommendations for this group.In the present study, we retrospectively evaluated the effect of RS category (i.e., low, intermediate, high RS), decision-making style, and their interaction on patient-reported distress, decisional conflict and quality of life in women who had received testing at the time of their diagnosis. We predicted that (1) women who preferred a passive decision-making style would report higher distress and decisional conflict and lower quality of life than women who took an active or shared role in their care and (2) these effects would be stronger in women who had intermediate RS than in women with high or low RS.


## 2. Methods

### 2.1. Study Population

Female participants were recruited from 2009-2010 and had been treated at Lombardi Comprehensive Cancer Center from 2005–2009. We identified patients who had received testing through pathology record systems that track all tests ordered at Lombardi. Eligibility included having been tested with the 21-gene RS test, having completed chemotherapy treatment, and not having a recurrence of their primary breast cancer or a second cancer. In addition, participants could not have other major comorbid disease or participate in clinical trials that could have impacted treatment decision making among women with an RS, as these circumstances would have removed the treatment decision from the patient and their physician. Only women with valid contact information were considered eligible. The study was approved by the Institutional Review Board of Georgetown University. All participants provided written informed consent.Eligible women received a mailed survey, consent and HIPAA documents, a letter of invitation from their attending physician, and a self-addressed stamped envelope in which to return the study documents. They also received a self-addressed stamped postcard by which they could indicate their interest in declining the study. We identified 128 potentially eligible women diagnosed with early-stage, ER+ breast cancer who had received the 21-gene RS test results confirmed via chart review. Of these, 46 (36%) refused participation (17 active and 29 passive refusals); 1 returned her questionnaire without a signed consent form and did not respond to requests to complete the consent. Thus, our final sample of 81 women who received testing and completed questionnaires and consents represents 63% of the eligible sample (Figure1). While we were unable to obtain clinical characteristics from women who refused participation, our final sample was similar in race/ethnicity to our clinic population (70% white).Figure 1
Participant recruitment and enrollment.


### 2.2. Measures

#### 2.2.1. Participants’ Characteristics

We assessed age, education, race, marital, and financial status. A trained research assistant performed chart reviews to obtain the following: RS, tumor stage and grade, receptor status, primary therapy, and adjuvant therapy. We computed participants’ 10-year risk for recurrence using a validated tool (Adjuvant! Online) that provides a quantitative risk estimate using clinical parameters [27, 28]. In addition to chart review, we also assessed RS and treatments received via self-report. Given that all patients were recruited during the clinical trial to determine treatment recommendations for women with intermediate RS (TailoRx), we categorized RS using the trial guidelines: low (<11), intermediate (11–25), and high (>25).


#### 2.2.2. Decision Style

We used the Control Preferences Scale [29, 30] to assess patients’ preferences for shared medical decision making. The scale is composed of five statements which are separated into passive “I preferred that my doctor make the decision about treatment; I preferred that my doctor make the decision about treatment, but strongly considers my opinion,” shared “I preferred that my doctor and I make the decision about treatment together on an equal basis” and active “I preferred that I make the decision about treatment, but strongly consider the doctor’s opinion; I preferred that I make the decision about treatment” decision styles. Patients were asked “which of these best describes your way of making a decision about your cancer treatment?”


#### 2.2.3. Cancer-Related Distress

We used the 15-item Impact of Event Scale (IES) [31] to measure cancer-specific distress. The IES measures intrusive and avoidant thoughts/behaviors associated with a specific stressor. Items are scored on a 4-point scale (not at all-often), indicating how frequently each thought/behavior occurred during the past seven days in regards to their cancer diagnosis. This scale had excellent internal consistency (α=.93). A score greater than 19 indicates high distress [31].


#### 2.2.4. Cancer Worry

We assessed how often the participant worried about her risk of recurrence during the past two weeks, measured on a 4-point Likert scale(not at all-all of the time)[32].


#### 2.2.5. Quality of Life

We measured quality of life with the FACT-B [33], a well-validated and frequently used measure of health-related quality of life in patients with breast cancer. It consists of the FACT-General (FACT-G) and the 9-item Breast Cancer Subscale. Patients indicated how true each statement was for them in the past seven days measured on a 5-point Likert scale (0 = not at all to 4 = very much), with higher scores indicating better quality of life. This scale demonstrated excellent internal consistency (α=.92).


#### 2.2.6. Decisional Conflict

We assessed decisional conflict with the Decisional Conflict Scale (DCS) [34], which consists of 16 items measured on a 5-point Likert scale (1 = strongly agree to 5 = strongly disagree). Patients were asked to think about the choice they had made about their breast cancer treatment. The DCS measures uncertainty about the decision (3 items), feeling uninformed about the decision (3 items), feeling unsupported in decision making (3 items), feeling unclear about values (3 items), and the perceived quality of the decision (4 items). Items were averaged so that higher scores indicated higher decisional conflict. The measure demonstrated good internal reliability (α=.89). A score of 2 or above is considered high decisional conflict.


### 2.3. Data Analysis

We calculated descriptive statistics for all sociodemographic, treatment-related, psychosocial, and quality of life variables. We assessed bivariate associations between sociodemographics and treatment-related variables, as well as psychosocial, and quality of life outcomes. In multivariate analyses, we adjusted for all variables with bivariate associations ofP<.10. We used multiple linear regression with hierarchical variable entry, entering covariates on Step 1, decision style on Step 2, RS category on Step 3, and their interaction in the final step. Data were analyzed using SPSS 19.0. With a sample of 81 participants, we were powered to find effects of .17 for our main effects and .26 for our interaction effects.


## 2.1. Study Population

Female participants were recruited from 2009-2010 and had been treated at Lombardi Comprehensive Cancer Center from 2005–2009. We identified patients who had received testing through pathology record systems that track all tests ordered at Lombardi. Eligibility included having been tested with the 21-gene RS test, having completed chemotherapy treatment, and not having a recurrence of their primary breast cancer or a second cancer. In addition, participants could not have other major comorbid disease or participate in clinical trials that could have impacted treatment decision making among women with an RS, as these circumstances would have removed the treatment decision from the patient and their physician. Only women with valid contact information were considered eligible. The study was approved by the Institutional Review Board of Georgetown University. All participants provided written informed consent.Eligible women received a mailed survey, consent and HIPAA documents, a letter of invitation from their attending physician, and a self-addressed stamped envelope in which to return the study documents. They also received a self-addressed stamped postcard by which they could indicate their interest in declining the study. We identified 128 potentially eligible women diagnosed with early-stage, ER+ breast cancer who had received the 21-gene RS test results confirmed via chart review. Of these, 46 (36%) refused participation (17 active and 29 passive refusals); 1 returned her questionnaire without a signed consent form and did not respond to requests to complete the consent. Thus, our final sample of 81 women who received testing and completed questionnaires and consents represents 63% of the eligible sample (Figure1). While we were unable to obtain clinical characteristics from women who refused participation, our final sample was similar in race/ethnicity to our clinic population (70% white).Figure 1
Participant recruitment and enrollment.


## 2.2. Measures

### 2.2.1. Participants’ Characteristics

We assessed age, education, race, marital, and financial status. A trained research assistant performed chart reviews to obtain the following: RS, tumor stage and grade, receptor status, primary therapy, and adjuvant therapy. We computed participants’ 10-year risk for recurrence using a validated tool (Adjuvant! Online) that provides a quantitative risk estimate using clinical parameters [27, 28]. In addition to chart review, we also assessed RS and treatments received via self-report. Given that all patients were recruited during the clinical trial to determine treatment recommendations for women with intermediate RS (TailoRx), we categorized RS using the trial guidelines: low (<11), intermediate (11–25), and high (>25).


### 2.2.2. Decision Style

We used the Control Preferences Scale [29, 30] to assess patients’ preferences for shared medical decision making. The scale is composed of five statements which are separated into passive “I preferred that my doctor make the decision about treatment; I preferred that my doctor make the decision about treatment, but strongly considers my opinion,” shared “I preferred that my doctor and I make the decision about treatment together on an equal basis” and active “I preferred that I make the decision about treatment, but strongly consider the doctor’s opinion; I preferred that I make the decision about treatment” decision styles. Patients were asked “which of these best describes your way of making a decision about your cancer treatment?”


### 2.2.3. Cancer-Related Distress

We used the 15-item Impact of Event Scale (IES) [31] to measure cancer-specific distress. The IES measures intrusive and avoidant thoughts/behaviors associated with a specific stressor. Items are scored on a 4-point scale (not at all-often), indicating how frequently each thought/behavior occurred during the past seven days in regards to their cancer diagnosis. This scale had excellent internal consistency (α=.93). A score greater than 19 indicates high distress [31].


### 2.2.4. Cancer Worry

We assessed how often the participant worried about her risk of recurrence during the past two weeks, measured on a 4-point Likert scale(not at all-all of the time)[32].


### 2.2.5. Quality of Life

We measured quality of life with the FACT-B [33], a well-validated and frequently used measure of health-related quality of life in patients with breast cancer. It consists of the FACT-General (FACT-G) and the 9-item Breast Cancer Subscale. Patients indicated how true each statement was for them in the past seven days measured on a 5-point Likert scale (0 = not at all to 4 = very much), with higher scores indicating better quality of life. This scale demonstrated excellent internal consistency (α=.92).


### 2.2.6. Decisional Conflict

We assessed decisional conflict with the Decisional Conflict Scale (DCS) [34], which consists of 16 items measured on a 5-point Likert scale (1 = strongly agree to 5 = strongly disagree). Patients were asked to think about the choice they had made about their breast cancer treatment. The DCS measures uncertainty about the decision (3 items), feeling uninformed about the decision (3 items), feeling unsupported in decision making (3 items), feeling unclear about values (3 items), and the perceived quality of the decision (4 items). Items were averaged so that higher scores indicated higher decisional conflict. The measure demonstrated good internal reliability (α=.89). A score of 2 or above is considered high decisional conflict.


## 2.2.1. Participants’ Characteristics

We assessed age, education, race, marital, and financial status. A trained research assistant performed chart reviews to obtain the following: RS, tumor stage and grade, receptor status, primary therapy, and adjuvant therapy. We computed participants’ 10-year risk for recurrence using a validated tool (Adjuvant! Online) that provides a quantitative risk estimate using clinical parameters [27, 28]. In addition to chart review, we also assessed RS and treatments received via self-report. Given that all patients were recruited during the clinical trial to determine treatment recommendations for women with intermediate RS (TailoRx), we categorized RS using the trial guidelines: low (<11), intermediate (11–25), and high (>25).


## 2.2.2. Decision Style

We used the Control Preferences Scale [29, 30] to assess patients’ preferences for shared medical decision making. The scale is composed of five statements which are separated into passive “I preferred that my doctor make the decision about treatment; I preferred that my doctor make the decision about treatment, but strongly considers my opinion,” shared “I preferred that my doctor and I make the decision about treatment together on an equal basis” and active “I preferred that I make the decision about treatment, but strongly consider the doctor’s opinion; I preferred that I make the decision about treatment” decision styles. Patients were asked “which of these best describes your way of making a decision about your cancer treatment?”


## 2.2.3. Cancer-Related Distress

We used the 15-item Impact of Event Scale (IES) [31] to measure cancer-specific distress. The IES measures intrusive and avoidant thoughts/behaviors associated with a specific stressor. Items are scored on a 4-point scale (not at all-often), indicating how frequently each thought/behavior occurred during the past seven days in regards to their cancer diagnosis. This scale had excellent internal consistency (α=.93). A score greater than 19 indicates high distress [31].


## 2.2.4. Cancer Worry

We assessed how often the participant worried about her risk of recurrence during the past two weeks, measured on a 4-point Likert scale(not at all-all of the time)[32].


## 2.2.5. Quality of Life

We measured quality of life with the FACT-B [33], a well-validated and frequently used measure of health-related quality of life in patients with breast cancer. It consists of the FACT-General (FACT-G) and the 9-item Breast Cancer Subscale. Patients indicated how true each statement was for them in the past seven days measured on a 5-point Likert scale (0 = not at all to 4 = very much), with higher scores indicating better quality of life. This scale demonstrated excellent internal consistency (α=.92).


## 2.2.6. Decisional Conflict

We assessed decisional conflict with the Decisional Conflict Scale (DCS) [34], which consists of 16 items measured on a 5-point Likert scale (1 = strongly agree to 5 = strongly disagree). Patients were asked to think about the choice they had made about their breast cancer treatment. The DCS measures uncertainty about the decision (3 items), feeling uninformed about the decision (3 items), feeling unsupported in decision making (3 items), feeling unclear about values (3 items), and the perceived quality of the decision (4 items). Items were averaged so that higher scores indicated higher decisional conflict. The measure demonstrated good internal reliability (α=.89). A score of 2 or above is considered high decisional conflict.


## 2.3. Data Analysis

We calculated descriptive statistics for all sociodemographic, treatment-related, psychosocial, and quality of life variables. We assessed bivariate associations between sociodemographics and treatment-related variables, as well as psychosocial, and quality of life outcomes. In multivariate analyses, we adjusted for all variables with bivariate associations ofP<.10. We used multiple linear regression with hierarchical variable entry, entering covariates on Step 1, decision style on Step 2, RS category on Step 3, and their interaction in the final step. Data were analyzed using SPSS 19.0. With a sample of 81 participants, we were powered to find effects of .17 for our main effects and .26 for our interaction effects.


## 3. Results

### 3.1. Participant Characteristics

Mean scores and percentages are shown in Table1. Participants were, on average, 19 months from diagnosis and testing (range = 6–64 months). All women who received high or low RS results received result-concordant treatment, with higher risk patients receiving chemohormonal therapy and lower risk patients receiving hormonal therapy only. Among patients with intermediate RS, 38 (75%) received hormonal therapy only and 13 (25%) received combined therapy. The latter group had marginally higher risk according to Adjuvant! scores (26.6 versus 22.3, t(44) = 1.72, P=.09). Most women indicated that they preferred a shared (36%) or active (49%) decision-making style in their treatment for breast cancer. The only sociodemographic or treatment variable related to our outcomes was race. White women had significantly higher cancer worry (t(79) = 2.05, P=.04) and lower quality of life (t(79)=-2.00, P=.05) compared to others. We adjusted for race in subsequent models. Importantly, neither time since diagnosis nor receipt of chemotherapy was related to any of our outcomes.Table 1
Sociodemographic and medical characteristics (N=81).
Sociodemographics
N (%)
M (SD)
Age
54.35 (9.18)
Education
<College degree
22 (27)
College degree
19 (23)
Graduate/professional training
40 (50)
Race
Caucasian
62 (77)
Non-Caucasian
19 (23)
Marital status
Married/partner
50 (62)
Single/widow/divorced
31 (38)
Annual household income
<$50,000
14 (17)
$50,000–100,000
10 (12)
>$100,000
45 (56)
Refused/missing
12 (15)
Treatments received
Surgery
Lumpectomy
48 (59)
Unilateral mastectomy
17 (21)
Bilateral mastectomy
16 (20)
Chemotherapy
Yes
24 (30)
No
57 (70)
Radiation
Yes
24 (30)
No
57 (70)
Tamoxifen
Yes
47 (58)
No
34 (42)
Aromatase inhibitors
Yes
32 (40)
No
48 (59)
Do not know
1 (1)
Recurrence Score× Treatment
Low-hormonal therapy
19 (23)
Intermediate-hormonal therapy
38 (47)
Intermediate-chemohormonal therapy
13 (16)
High-chemohormonal therapy
11 (14)
Psychosocial and quality of life variables
Decision style
Passive
12 (15)
Shared
29 (36)
Active
40 (49)
Cancer-related distress (IES)
19.06 (17.51)
Decisional conflict
1.69 (.51)
Worry about recurrence
1.65 (.83)
Quality of life (FACT-B)
111.75 (18.85)


### 3.2. Levels of Distress, Decisional Conflict, and Quality of Life

Women reported moderate levels of cancer-related distress (M = 19.10, SD = 17.50), cancer worry (M = 1.70, SD = 0.80), and decisional conflict (M = 1.70, SD = 0.50). Though overall values indicate adequate global functioning in this sample, 30% of women reported problematic levels of decisional conflict (scores ≥ 2) and 38.7% of women reported high levels of cancer-related distress (scores > 19) [35].


### 3.3. Association of Decision Style and RS with Distress and Decisional Conflict

We conducted separate hierarchical multiple regression analyses for cancer-related distress, worry about recurrence, and decisional conflict. After controlling for race on Step 1, we entered decision style on Step 2, RS category (intermediate versus low/high) on Step 3, and their interaction in the final step (Table2). Neither decision style on Step 2 nor RS categories on Step 3 were associated with cancer-related distress or worry about recurrence. However, in the final model on Step 4, the interaction between decision style and RS was associated with cancer-related distress (ΔR2=.12, P=.002) and worry about recurrence (ΔR2=.05, P=.04). We further assessed these significant interactions with simple effects analysis. As displayed in Figure 2, among women who preferred an active/shared role in their care, RS was unrelated to cancer-related distress. However, among women who preferred a passive role, results were poorer for women with intermediate RS than high/low RS. Specifically, among women with an intermediate RS, a passive versus shared/active decision style was related to higher cancer-related distress (38.20 versus 17.40; t(49) = 2.75, P=.008). This simple effects analysis was not significant for worry about recurrence (1.70 versus 1.60,t(49) = .30, P=.77). In our model for decisional conflict, those who preferred a passive decision style reported significantly higher decisional conflict on Step 2 (ΔR2=.06, P=.03). However, this was not significant in the final model. Neither RS nor the decision style x RS interaction was significantly associated with decisional conflict.Table 2
Multivariate regression analysis of relationship between decision style, RS, and patient-reported outcomes.
FACT-B
IES
DCS
Cancer worry
Δ
R
2
Δ
F
Finalβ
Δ
R
2
Δ
F
Finalβ
Δ
R
2
Δ
F
Finalβ
Δ
R
2
Δ
F
Finalβ
Race
0.04
3.03
−0.20
0.02
1.86
0.17
0.02
1.84
0.11
0.05
4.06*
0.27*
Decision style1
0.02
1.25
−0.31*
0.01
0.67
0.40**
0.06
4.66*
0.25
0.02
1.93
0.02
RS test result2
0.01
0.06
−0.13
0.01
0.35
0.08
0.01
0.45
−0.07
0.01
0.30
0.16
Decision style × test result
0.05
4.14*
0.31*
0.12
10.49**
−0.49**
0.00
0.01
−0.01
0.05
4.23*
−0.31*
1Passive versus shared/active. 2Intermediate RS versus high/low RS.
*
P
<
.
05; **P<.01.Figure 2
Cancer-related distress (IES) by RS (intermediate versus high/low) and decision style (passive versus shared/active).


### 3.4. Association of Decision Style and RS with Quality of Life

We also tested the association between decision style, test result, and their interaction on quality of life. Neither decision style on Step 2 nor RS categories on Step 3 were associated with quality of life. However, on Step 4, the interaction between decision style and RS was associated with quality of life (ΔR2=.05,P=.04). Again, our simple effects analysis demonstrated that while there were no significant differences among women who preferred an active/shared role in their care, among women who preferred a passive role, those with intermediate RS reported poorer quality of life than those high/low RS (Figure 3). Specifically, among women with an intermediate RS, those who preferred a passive role in their care reported significantly lower quality of life than those who took an active/shared role (97.60 versus 114.40; t(49) = −2.27, P=.03).Figure 3
Quality of life (FACT-B) by RS (intermediate versus high/low) and decision style (passive versus shared/active).


## 3.1. Participant Characteristics

Mean scores and percentages are shown in Table1. Participants were, on average, 19 months from diagnosis and testing (range = 6–64 months). All women who received high or low RS results received result-concordant treatment, with higher risk patients receiving chemohormonal therapy and lower risk patients receiving hormonal therapy only. Among patients with intermediate RS, 38 (75%) received hormonal therapy only and 13 (25%) received combined therapy. The latter group had marginally higher risk according to Adjuvant! scores (26.6 versus 22.3, t(44) = 1.72, P=.09). Most women indicated that they preferred a shared (36%) or active (49%) decision-making style in their treatment for breast cancer. The only sociodemographic or treatment variable related to our outcomes was race. White women had significantly higher cancer worry (t(79) = 2.05, P=.04) and lower quality of life (t(79)=-2.00, P=.05) compared to others. We adjusted for race in subsequent models. Importantly, neither time since diagnosis nor receipt of chemotherapy was related to any of our outcomes.Table 1
Sociodemographic and medical characteristics (N=81).
Sociodemographics
N (%)
M (SD)
Age
54.35 (9.18)
Education
<College degree
22 (27)
College degree
19 (23)
Graduate/professional training
40 (50)
Race
Caucasian
62 (77)
Non-Caucasian
19 (23)
Marital status
Married/partner
50 (62)
Single/widow/divorced
31 (38)
Annual household income
<$50,000
14 (17)
$50,000–100,000
10 (12)
>$100,000
45 (56)
Refused/missing
12 (15)
Treatments received
Surgery
Lumpectomy
48 (59)
Unilateral mastectomy
17 (21)
Bilateral mastectomy
16 (20)
Chemotherapy
Yes
24 (30)
No
57 (70)
Radiation
Yes
24 (30)
No
57 (70)
Tamoxifen
Yes
47 (58)
No
34 (42)
Aromatase inhibitors
Yes
32 (40)
No
48 (59)
Do not know
1 (1)
Recurrence Score× Treatment
Low-hormonal therapy
19 (23)
Intermediate-hormonal therapy
38 (47)
Intermediate-chemohormonal therapy
13 (16)
High-chemohormonal therapy
11 (14)
Psychosocial and quality of life variables
Decision style
Passive
12 (15)
Shared
29 (36)
Active
40 (49)
Cancer-related distress (IES)
19.06 (17.51)
Decisional conflict
1.69 (.51)
Worry about recurrence
1.65 (.83)
Quality of life (FACT-B)
111.75 (18.85)


## 3.2. Levels of Distress, Decisional Conflict, and Quality of Life

Women reported moderate levels of cancer-related distress (M = 19.10, SD = 17.50), cancer worry (M = 1.70, SD = 0.80), and decisional conflict (M = 1.70, SD = 0.50). Though overall values indicate adequate global functioning in this sample, 30% of women reported problematic levels of decisional conflict (scores ≥ 2) and 38.7% of women reported high levels of cancer-related distress (scores > 19) [35].


## 3.3. Association of Decision Style and RS with Distress and Decisional Conflict

We conducted separate hierarchical multiple regression analyses for cancer-related distress, worry about recurrence, and decisional conflict. After controlling for race on Step 1, we entered decision style on Step 2, RS category (intermediate versus low/high) on Step 3, and their interaction in the final step (Table2). Neither decision style on Step 2 nor RS categories on Step 3 were associated with cancer-related distress or worry about recurrence. However, in the final model on Step 4, the interaction between decision style and RS was associated with cancer-related distress (ΔR2=.12, P=.002) and worry about recurrence (ΔR2=.05, P=.04). We further assessed these significant interactions with simple effects analysis. As displayed in Figure 2, among women who preferred an active/shared role in their care, RS was unrelated to cancer-related distress. However, among women who preferred a passive role, results were poorer for women with intermediate RS than high/low RS. Specifically, among women with an intermediate RS, a passive versus shared/active decision style was related to higher cancer-related distress (38.20 versus 17.40; t(49) = 2.75, P=.008). This simple effects analysis was not significant for worry about recurrence (1.70 versus 1.60,t(49) = .30, P=.77). In our model for decisional conflict, those who preferred a passive decision style reported significantly higher decisional conflict on Step 2 (ΔR2=.06, P=.03). However, this was not significant in the final model. Neither RS nor the decision style x RS interaction was significantly associated with decisional conflict.Table 2
Multivariate regression analysis of relationship between decision style, RS, and patient-reported outcomes.
FACT-B
IES
DCS
Cancer worry
Δ
R
2
Δ
F
Finalβ
Δ
R
2
Δ
F
Finalβ
Δ
R
2
Δ
F
Finalβ
Δ
R
2
Δ
F
Finalβ
Race
0.04
3.03
−0.20
0.02
1.86
0.17
0.02
1.84
0.11
0.05
4.06*
0.27*
Decision style1
0.02
1.25
−0.31*
0.01
0.67
0.40**
0.06
4.66*
0.25
0.02
1.93
0.02
RS test result2
0.01
0.06
−0.13
0.01
0.35
0.08
0.01
0.45
−0.07
0.01
0.30
0.16
Decision style × test result
0.05
4.14*
0.31*
0.12
10.49**
−0.49**
0.00
0.01
−0.01
0.05
4.23*
−0.31*
1Passive versus shared/active. 2Intermediate RS versus high/low RS.
*
P
<
.
05; **P<.01.Figure 2
Cancer-related distress (IES) by RS (intermediate versus high/low) and decision style (passive versus shared/active).


## 3.4. Association of Decision Style and RS with Quality of Life

We also tested the association between decision style, test result, and their interaction on quality of life. Neither decision style on Step 2 nor RS categories on Step 3 were associated with quality of life. However, on Step 4, the interaction between decision style and RS was associated with quality of life (ΔR2=.05,P=.04). Again, our simple effects analysis demonstrated that while there were no significant differences among women who preferred an active/shared role in their care, among women who preferred a passive role, those with intermediate RS reported poorer quality of life than those high/low RS (Figure 3). Specifically, among women with an intermediate RS, those who preferred a passive role in their care reported significantly lower quality of life than those who took an active/shared role (97.60 versus 114.40; t(49) = −2.27, P=.03).Figure 3
Quality of life (FACT-B) by RS (intermediate versus high/low) and decision style (passive versus shared/active).


## 4. Discussion

The 21-gene RS impacts adjuvant treatment decisions of patients and their providers [10–14]. In the present study, we found that women who receive their RS have levels of quality of life and distress comparable to other women who are a year or more from being diagnosed and treated for early-stage breast cancer and make RS-congruent treatment decisions [17, 36, 37]. Further, we found no evidence that these associations vary based on the risk of recurrence indicated by the RS or the treatment received. However, in this sample of tested women, a passive decision role preference was associated with higher distress and lower quality of life. This is especially true for women who received an intermediate RS. In addition, like the broader population of women diagnosed with breast cancer, a substantial number—more than one-third—of women continue to experience significant distress, even a year or more after diagnosis.The present study extends prior results by demonstrating that while women who receive RS testing, as a whole, do well, there is significant variability in outcomes as a result of both test result received and the level of involvement these women take in their treatment decisions. Indeed, 40% of the sample reported problematic levels of cancer-related distress, a substantial number considering these women were several months removed from their active treatment. This is similar to previous work on women who receiveBRCA1/2 mutation testing. Several systematic reviews demonstrate that, as a whole, genetic counseling and testing for breast cancer susceptibility do not result in significant psychological distress or decrements in quality of life for this population of patients as a whole [38–40]. However, an extensive literature, including our own work, demonstrates that some women, such as those with high pretesting distress, a significant family history of the disease, a high expectation for carrying a deleterious mutation, and difficulty with uncertain health information, are at risk for long-term distress [37, 41]. Similarly, most women who receive their RS may adjust well, but a subgroup of women may be at risk for poorer outcomes and in need of additional support. This question deserves additional research in larger, more representative samples.Long-standing trends in health care call for patients to be more involved in their care [42]. Patient involvement and integration with treatment decision making may be most appropriate in clinical circumstances in which evidence is either incomplete or suggests more than one option could be appropriate [25, 26]. Previous studies of women with breast cancer show that quality of life and satisfaction are associated with active or shared involvement in care decisions [21, 23, 43, 44]. The clinical equipoise and uncertainties associated with an intermediate RS could mean that treatment decisions rely more on women’s treatment-related values and preferences in combination with standard clinical criteria and the physician’s clinical judgment. Importantly, the receipt of chemotherapy among women with intermediate RS was marginally associated with the patient’s Adjuvant! Online score, suggesting that clinical factors are an important part, but not the only consideration, in treatment decisions. This underscores the multifaceted nature of treatment decisions in women with intermediate RS at this time [7].The uncertainties associated with intermediate RS could make the need for active or shared decision making more apparent. Genomic medicine often makes the uncertainties that are ever-present in medical decisions more obvious to patients, as risks often are communicated as probabilities and on continua [8, 45]. The intermediate RS is one prominent example of this, but it is not the only one and there are likely to be many others. How patients and providers communicate about these uncertainties and come to treatment decisions will likely impact the benefit that patients ultimately will gain from these new technologies. Women in this group may benefit from decision support interventions aimed at fostering shared decision making and providing the tools to do so [46, 47] or interventions to promote coping and reduce distress in the face of clinical uncertainty. Interestingly, despite 30% of our sample indicating problematic levels of decisional conflict, neither test result, decision style nor their interaction was associated with this variable. Our cross-sectional data do not allow us to determine whether these null findings are a result of being removed in time from the treatment decision, measurement issues, or another explanation. Future prospective, longitudinal research should examine this issue and how it would influence the development of interventions for this population.This study has several limitations, including a retrospective, cross-sectional design and a relatively small sample limited to women who had completed treatment for breast cancer. Specifically, participants may not accurately remember their decision role preference. However, previous research has found strong associations between these retrospective perceptions and those measured at the time of care [48] and retrospective methods are used frequently in cancer decision-making research [49, 50]. Future research should follow women prospectively from the time of diagnosis and RS testing. Ideally, this would occur before they receive their RS results and make definite treatment decisions in order to prospectively assess the impact of the testing and treatment decision making process on long-term patient-reported outcomes. We were also limited by lack of an untested control group to which to compare our outcomes. At the time the study was implemented, testing had become the standard of care, limiting the ability to make this comparison [4]. Another limitation includes our use of a single site at a comprehensive cancer center and a patient population with a relatively high self-reported income. The patient population and clinical encounters captured in the current study may not fully reflect those in other settings. This could also be impacted by our relatively low response rate. Our use of a mailed survey as a means of recruitment may also have resulted in a lower rate of recruitment than if we have been able to recruit women in person. Finally, all of the women in the study had lymph node-negative disease. As testing becomes more common among women with limited node involvement [51, 52], the need for greater active or shared decision making for these women may expand as well.In conclusion, this study underscores the important role that patient decision-making style plays for women who receive RS as part of their diagnosis and treatment process. This is particularly true for those with intermediate RS. These results hold greater uncertainty, and consequently, might require more input from patients to clarify the values and preferences they hold regarding their care. Our results should be replicated in larger, prospective, multicenter study of women who have received this testing. Future research also should determine the best means to assist these patients in participating in their care decisions.



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