Abstract
Purpose:
Adolescent and young adult (AYA) survivors are at-risk for cancer-related financial difficulties (i.e., financial toxicity [FT]). Family building after cancer often requires reproductive medicine or adoption with high costs; AYAs experience financial barriers to family building. This study evaluated the relationships among cancer FT, reproductive concerns, and decision-making processes about family building after cancer.
Methods:
AYA female (AYA-F) cancer survivors completed a cross-sectional survey including measures of FT, reproductive concerns, decisional conflict about family building, and decision-making self-efficacy. Differences across FT subgroups (i.e., no/mild, moderate, and severe FT) were tested. Linear regression evaluated the relationships between FT and reproductive concerns and decision-making processes.
Results:
Participants (N = 111) averaged 31.0 years (standard deviation [SD] = 5.49), 90% were nulliparous, and 84% were employed full/part-time. The overall FT levels were in the “moderate” range (M = 20.44, SD = 9.83); 48% worried quite a bit or very much about financial problems because of cancer. AYA-Fs reporting severe FT (24% of sample) experienced higher levels of reproductive concerns compared with those reporting no/mild and moderate FT. Those reporting moderate FT (46% of sample) reported greater decisional conflict about family-building options, compared with the no/mild FT subgroup. Both moderate and severe FT subgroups reported lower decision-making self-efficacy compared with the no/mild FT subgroup. In separate models controlling for covariates, greater FT related to higher levels of reproductive concerns (B = −0.39, p < 0.001), greater decisional conflict about family building (B = −0.56, p = 0.02), and lower decision-making self-efficacy (B = 0.60, p = 0.01).
Conclusions:
Given the high costs of reproductive medicine and adoption, fertility counseling pre- and post-treatment must address survivors' financial concerns and barriers.
Keywords: fertility, oncofertility, financial toxicity, cancer survivorship
Introduction
Adolescent and young adult (AYA; 15–39 years old) cancer survivors are an at-risk group for experiencing treatment-related financial toxicity (FT), including direct (e.g., out-of-pocket expenses, medical debt, and ongoing health care costs) and indirect (e.g., missed work and loss of income) financial effects, subjective financial stress, and cost-coping behaviors (e.g., missed visits and nonadherence to medications).1,2
Compared with older patients, AYA survivors report higher FT, including greater material hardship, more cost-coping behaviors, and worse associated psychological burden.3–6 They also report lower education and income, are more likely to be under- and unemployed and lack insurance coverage, and have greater medical debt and out-of-pocket medical expenses compared with noncancer peers.7 Female sex and younger age are both associated with greater FT after cancer.6,8 Age-related financial pressures, such as tuition, student loans, and low early career salary, may exacerbate financial stress. In a study conducted during the covid-19 pandemic, half of all AYAs reported severe FT and 71% reported medical-related cost-coping behaviors.9
Simultaneously, many AYAs will experience impaired fertility and disrupted family building due to gonadotoxic treatments, risks associated with pregnancy, and/or the need for teratogenic maintenance therapies. Thus, family building may require the use of assisted reproductive technology (ART) to achieve pregnancy in the intended parent or a gestational carrier, fostering, or adoption. In the United States, current cost estimates range from $12,000 to $26,000 per in vitro fertilization (IVF) cycle (or $30,000 to $60,000 for IVF-donor egg cycles) and $40,000 to $85,000 per live birth using IVF, as more than one cycle is often needed; $100,000 to $150,000 for gestational carrier; and $20,000 to $70,000 for adoption.10–13 Total costs can be difficult to predict, however, given the uncertainty surrounding the ART procedures needed (e.g., number of IVF cycles to achieve pregnancy), extent of insurance coverage, and legal and logistical difficulties, particularly, with surrogacy and adoption (e.g., lawyer fees, travel).
Although some states have passed laws mandating insurance coverage for some fertility treatments, coverage for most is still limited or nonexistent.14 While there are some compassionate care discounts and cancer charity grants for pre-treatment fertility preservation,15 financial support opportunities for post-treatment family building are rare.
This study evaluated relationships among cancer-related FT, reproductive concerns, and decision-making processes about family building among AYA female (AYA-F) cancer survivors. It was hypothesized that greater FT would relate to higher levels of reproductive concerns, greater uncertainty about family-building decisions, and lower self-efficacy for making family-building decisions after cancer.
Methods
Secondary analyses of a mixed-methods study examining AYA-F fertility and family-building experiences after cancer were conducted.16 Study procedures were approved by the Northwell Health Institutional Review Board.
Participants
Eligibility criteria included the following: (i) female sex assigned at birth, (ii) age 15–45 years, (iii) cancer history and completion of gonadotoxic treatment (e.g., systemic chemotherapy and/or pelvic radiation), (iv) had not had a child since cancer diagnosis, and (v) reported parenthood desires or undecided family-building plans. AYA-Fs could have been on long-term adjuvant or endocrine treatment or currently pregnant (or a surrogate was pregnant).
Procedure
Hospital-based recruitment identified patients through electronic medical records, and introductory letters were mailed. Study advertisements were also posted on patient organizations' social media pages (e.g., Stupid Cancer, Lacuna Loft) with a link to provide contact information using an HIPAA-compliant platform. Follow-up calls confirmed eligibility and completed enrollment. Parental consent and participant assent were obtained for minors. Following enrollment, participants were emailed a link to complete a survey online through REDCap.
Measures
Standard questionnaires collected sociodemographic and medical information. FT was measured using the Comprehensive Score for Financial Toxicity (COST; 11 items), assessing cancer-related financial impact including direct costs related to cancer care (e.g., out-of-pocket expenses) and indirect costs (e.g., employment changes, loss of income).17 Total scores range from 0 to 44; lower scores represent worse financial outcomes. Prior work has defined three levels of FT: no/mild (COST scores ≥26), moderate (COST scores 14–25), and severe (COST scores 0–13).18 Reproductive concerns were measured by the Reproductive Concerns After Cancer Scale (RCACS; 18 items), which includes the following 6 domains: fertility potential, becoming pregnant, personal health, child's health, partner disclosure, and acceptance.19 RCACS mean scores range from 18 to 90, with higher scores indicating higher levels of concern.
Decision-making was measured using two scales. The Decisional Conflict Scale (DCS; 16 items) assesses personal uncertainty in making health decisions and includes the following 5 domains: feeling uncertain, feeling uninformed, feeling unclear about values, feeling unsupported, and ineffective decision-making.20,21 The Decision Self-Efficacy (DSE) Scale (11 items) measures the self-confidence or belief in one's abilities in decision-making (e.g., ability to seek and obtain information about options, express concerns and views, and make an informed choice).22 For both, items were adapted to refer to family-building decisions after cancer, and total scores ranged from 0 to 100. Higher scores on the DCS indicate greater decisional conflict, whereas higher scores on the DSE indicate greater DSE.
Data analysis
Descriptive statistics characterized the sample and patient-reported outcomes. Bivariate relations were evaluated with Pearson's correlations, t-tests, and ANOVAs. Subgroup analysis looked at differences across COST grading scale categories (i.e., none/mild, moderate, severe FT). Linear regression evaluated relationships between FT and reproductive concerns and decision-making processes, controlling for a priori covariates.
Results
Participants (N = 111) were on average 31.0 years old (standard deviation [SD] = 5.49; range 15–45), median 3 years post-treatment (M = 6.12, SD = 5.63, range: 1–23 years), and 84% were employed full/part-time. Most (76%) identified as white and 18% were Hispanic/Latina. Annual household income included 34% reporting < $50,000, 31% reporting $50,000 to $100,000, and 22% reporting > $100,000, with 13% unknown or opting out. Most common diagnoses were hematologic malignancies (49%) and breast cancer (22%). Most were nulliparous (90%), and 16% had undergone fertility preservation before treatment (Table 1).
Table 1.
Sociodemographic and Medical Characteristics of the Sample (N = 111)
| Mean (SD) | Range | |
|---|---|---|
| Sociodemographic information | ||
| Age, yearsa | 30.98 (5.49) | 16–42 |
| Age at diagnosis, years | 24.04 (25.50) | 1–38 |
| n | % | |
| Race | ||
| White | 84 | 75.7 |
| Black | 6 | 5.4 |
| Asian or Pacific Islander | 4 | 3.6 |
| Other | 5 | 4.5 |
| More than one race | 8 | 7.2 |
| Unknown/prefer not to answer | 4 | 3.6 |
| Ethnicity | ||
| Hispanic/Latina | 20 | 18.0 |
| Non-Hispanic/Latina | 90 | 81.1 |
| Unknown/prefer not to answer | 1 | 0.9 |
| Highest education | ||
| High school | 14 | 12.6 |
| Vocational training, other than high school | 5 | 4.5 |
| College | 52 | 46.8 |
| Postgraduate | 40 | 36.0 |
| Student status | ||
| Full- or part-time | 19 | 17.1 |
| Not enrolled in school | 92 | 82.9 |
| Employment status | ||
| Employed full-time | 68 | 61.3 |
| Employed part-time | 25 | 22.5 |
| Not employed | 18 | 16.2 |
| Household income | ||
| Less than $50,000 | 38 | 34.2 |
| $50,000 to $100,000 | 34 | 30.6 |
| Greater than $100,0000 | 24 | 21.6 |
| Unknown | 4 | 3.6 |
| Prefer not to answer | 11 | 9.9 |
| Locality | ||
| Urban | 39 | 35.1 |
| Suburban | 63 | 56.8 |
| Rural | 6 | 5.4 |
| Prefer not to answer | 3 | 2.7 |
| Nulliparous | 100 | 90.1 |
| Clinical information | ||
| Cancer typeb | ||
| Lymphoma | 29 | 25.1 |
| Leukemia | 27 | 24.3 |
| Breast | 24 | 21.6 |
| Cervical, ovarian, uterine, or endometrial | 16 | 14.4 |
| Colon or rectal | 8 | 7.2 |
| Sarcoma | 6 | 5.4 |
| Other | 10 | 9.0 |
| Treatment with potential impact on fertilityb | ||
| Surgery that affected uterus and/or ovaries | 18 | 16.2 |
| Radiation therapy that included the abdominal or pelvic region or brain | 25 | 22.5 |
| Chemotherapy | 99 | 89.2 |
| Bone marrow or stem cell transplant | 17 | 15.3 |
| Immunotherapy | 3 | 2.7 |
| Hormone therapy | 17 | 15.3 |
| Fertility-related information | ||
| Underwent fertility preservation before cancer treatmentb,c | 18 | 16.2 |
| Had a fertility evaluation since completing cancer treatment | 42 | 37.8 |
| Been told that you will not be able to get pregnant or carry a pregnancy | ||
| Yes | 30 | 27 |
| No | 73 | 65.8 |
| I don't remember | 6 | 5.4 |
| Prefer not to answer | 1 | 0.9 |
Age categories included: adolescents, 15–17 years old (n = 2, 1.8%), emerging adults, 18–29 years old (n = 40, 36.0%), and young adults, 30–39 years old (n = 63, 56.8%), and adults, 40–45 years old (n = 6, 5.4%).
Categories are not mutually exclusive.
Fertility preservation included egg freezing (n = 10, 9.0%), embryo freezing (n = 6, 5.4%), ovarian tissue cryopreservation (n = 1, .9%), and other (n = 4, 3.6%).
SD, standard deviation.
Women reported high levels of reproductive concern (M = 60.4, SD = 10.56) that were comparable with prior studies of young adult female cancer survivors.23,24 Decisional conflict about family building was high (M = 52.1, SD = 23.87), exceeding the cutoff score of 37.5 in which higher scores are associated with decision delay or feeling unsure about implementation,21 and the DSE scores averaged 70.5 (SD = 22.91; range 0–100).
The overall levels of FT were in the “moderate” range (M = 20.45, SD = 9.83; median = 20.45; range = 1.44–42); 27% reported no/mild FT, 46% reported moderate, and 24% reported severe FT (3% [n = 3] had missing COST data). Item-level analysis indicated that 48% worried quite a bit or very much about financial problems because of cancer, 40% felt financially stressed quite a bit or very much, and 21% reported being able to meet monthly expenses not at all or a little bit. Worse FT related to Hispanic/Latina ethnicity (t[108] = 3.03, p = 0.003), lower educational attainment (F[4,106] = 2.59, p = 0.04), and lower household income (F[4,106] = 7.08, p < 0.001). Levels of FT were not related to age, race, employment status, locality (i.e., self-reported as urban, suburban, or rural), time since cancer treatment, comorbid illness(es), or nulliparity (all ps > 0.10).
Subgroup analysis tested differences in reproductive concerns and decision-making processes based on previously defined COST levels of FT (i.e., three-group comparison of those reporting no/mild, moderate, and severe FT). AYA-Fs reporting severe FT experienced higher levels of reproductive concerns compared with those reporting no/mild FT and moderate FT (F[2,102] = 10.85, p < 0.001). With respect to decision-making, those reporting moderate FT reported greater decisional conflict about family building compared with the no/mild FT subgroup; those reporting severe FT also reported greater decisional conflict than the no/mild FT subgroups at the trend level (F[2,105] = 3.89, p = 0.02). Notably, all FT subgroups still scored above the threshold for clinically significant decisional conflict (i.e., cutoff score of 37.5).21 Both moderate and severe FT subgroups reported lower DSE about family building compared with the no/mild FT subgroup (F[2,105] = 5.19, p = 0.007) (Fig. 1).
FIG. 1.
Subgroup differences in reproductive concern and decision-making processes based on FT categories. (a–c) AYA-F cancer survivors reporting severe FT experienced higher levels of reproductive concerns compared with those reporting no/mild FT and moderate FT. Those reporting moderate FT reported greater decisional conflict about family-building options. Both moderate and severe FT subgroups reported lower decision-making self-efficacy compared with the no/mild FT subgroup. *p < 0.05; **p < 0.01; ***p < 0.001. AYA-F, adolescent and young adult female; FT, financial toxicity.
Three regression models were specified to evaluate the relationships between FT and reproductive concern (model 1), decisional conflict (model 2), and DSE (model 3), controlling for a priori covariates including age, education (high school/vocational vs. college/graduate), employment (full/part-time vs. not employed), time since treatment, and post-treatment fertility evaluation status (yes/no) (Table 2). In model 1, worse FT related to higher levels of reproductive concern (B = −0.39, p < 0.001) and the model accounted for 21% of the variance in the RCACS. In model 2, worse FT related to greater decisional conflict about family-building options (B = −0.56, p = 0.02) and the model accounted for 14% of the variance in the DCS; those who had not undergone a fertility evaluation also reported greater decisional conflict (B = −10.33, p = 0.04).
Table 2.
Multiple Regression Analysis to Evaluate the Effects of Financial Toxicity on Reproductive Concerns and Decision-Making Processes About Family Building After Cancer (N = 111)
| R 2 | R2 Δ | B | SE | β | t | p | ||
|---|---|---|---|---|---|---|---|---|
| Model 1a DV: Reproductive concerns (F[7,94] = 3.57, p = 0.002) | ||||||||
| 1 | Constant | 0.21 | 0.13 | 77.38 | 5.86 | |||
| Age at survey, years | −0.20 | 0.18 | −0.11 | −1.11 | 0.27 | |||
| Race (0 = white) | −1.98 | 2.32 | −0.08 | −0.85 | 0.40 | |||
| Education (0 = high school/vocational) | −0.57 | 2.83 | −0.02 | −0.20 | 0.84 | |||
| Employment (0 = unemployed) | 0.25 | 2.75 | 0.01 | 0.09 | 0.93 | |||
| Time since treatment, years | −0.25 | 0.17 | −0.14 | −1.45 | 0.15 | |||
| Fertility evaluation (0 = no/unsure) | −2.08 | 2.11 | −0.10 | −0.99 | 0.33 | |||
| 2 | Financial toxicity (COST) | −0.39 | 0.10 | −0.38 | −3.92 | <0.001 | ||
| Model 2a Decisional conflict (F[7,97] = 2.29, p = 0.03) | ||||||||
| 1 | Constant | 0.14 | 0.05 | 92.32 | 14.22 | |||
| Age at survey, years | −0.81 | 0.43 | −0.19 | −1.88 | 0.06 | |||
| Race (0 = white) | −2.02 | 5.59 | −0.04 | −0.36 | 0.72 | |||
| Education (0 = high school/vocational) | −0.22 | 6.95 | −0.003 | −0.03 | 0.98 | |||
| Employment (0 = unemployed) | 1.11 | 6.77 | 0.02 | 0.16 | 0.87 | |||
| Time since treatment, years | −0.08 | 0.42 | −0.02 | −0.19 | 0.85 | |||
| Fertility evaluation (0 = no/unsure) | −10.33 | 5.07 | −0.21 | −2.04 | 0.04 | |||
| 2 | Financial toxicity (COST) | −0.56 | 0.24 | −0.23 | −2.35 | 0.02 | ||
| Model 3a Decision self-efficacy (F[7,97] = 3.99, p = 0.001) | ||||||||
| 1 | Constant | 0.22 | 0.06 | 54.98 | 13.10 | |||
| Age at survey, years | −0.34 | 0.40 | −0.08 | −0.85 | 0.40 | |||
| Race (0 = white) | 4.99 | 5.15 | 0.09 | 0.97 | 0.34 | |||
| Education (0 = high school/vocational) | 15.91 | 6.41 | 0.26 | 2.48 | 0.02 | |||
| Employment (0 = unemployed) | 1.04 | 6.23 | 0.02 | 0.17 | 0.87 | |||
| Time since treatment, years | −0.72 | 0.38 | −0.17 | −1.87 | 0.06 | |||
| Fertility evaluation (0 = no/unsure) | 9.12 | 4.67 | 0.19 | 1.96 | 0.05 | |||
| 2 | Financial toxicity (COST) | 0.60 | 0.22 | 0.25 | 2.69 | 0.01 | ||
A priori covariates included age, race (two groups: white vs. all other racial groups), education (high school/vocational vs. college/graduate), employment (full/part-time vs. not employed), time since treatment, and whether they had undergone a fertility evaluation since cancer treatment ended (yes/no).
COST, Comprehensive Score for Financial Toxicity; DV, dependent variable; SE, standard error.
In model 3, worse FT related to lower decision-making self-efficacy (B = 0.60, p = 0.01), and the model accounted for 22% of the variance in the DSE; lower education (B = 15.91, p = 0.02); and not having had a fertility evaluation (B = 9.12, p = 0.05) also related to lower DSE.
Discussion
This is the first study to our knowledge to quantitatively examine the associations of cancer-related financial experiences with post-treatment decisions about family-building options (i.e., IVF or surrogacy with fresh/frozen/donated gametes or adoption/fostering). In this study of AYA-F cancer survivors who had received gonadotoxic treatment, worse cancer-related FT related to higher levels of reproductive concerns and greater uncertainty and lower confidence about making family-building decisions. Given the high costs typically associated with family building through reproductive medicine or adoption, fertility counseling should include survivors' financial concerns and barriers, particularly after completion of cancer treatment.
Findings highlight the ways in which cancer-related financial stressors may impact other areas of survivors' lives. AYA-Fs in this study reported comparable levels of FT as other studies.6,25–27 The financial effects of cancer are known to disrupt normative young adult development, including achievement of milestones and future goals.28 There is no indication that cancer or financial stressors dissuade survivors from wanting children, and, in fact, they may have greater motivation to do so as a source of normality after cancer and hope about the future.29,30 At the same time, AYA-Fs often feel uninformed about their fertility and family-building options, including a potentially shortened reproductive time line and accurate estimations of the high costs of ART and adoption.31 AYA-Fs report a need for financial support and counseling when considering family-building decisions, which was described as a “serious financial decision.”32
Thus, AYAs may experience a “perfect storm” of financial stressors stemming from cancer FT effects and the high costs of family building. These issues may be compounded by a lack of information and counseling, added pressures associated with advancing age, narrowed reproductive time window (i.e., risk of premature ovarian failure), and expectations about life trajectory, all of which can limit the amount of time available to save money or plan financially and add to the decision-making uncertainty.
Prior studies have shown high costs to be critical in decision-making about fertility preservation and a frequent barrier to pursuing such options before cancer treatment.33,34 In addition, having undergone egg or embryo freezing before cancer treatment increases survivors' risk of financial vulnerability and experiencing debt after treatment.35 This study builds on these findings and demonstrates the impact of financial factors on family-building decisions in post-treatment survivorship. AYA-Fs reported levels of decisional conflict about family building that exceeded the validated cutoff score (>37.5) associated with decision delay, feeling unsure about implementing decisional outcomes, and having a greater likelihood of blaming one's provider when negative outcomes occur.21
We previously reported that young adult survivors who tried to have a child through reproductive medicine or adoption experienced significant distress, including feeling unprepared for the high costs and describing emotional pain, anger, and regret.36 They also relayed uncertainty about how to fulfill their dreams of parenthood while still being financially responsible, including the awareness of perceived financially risky decisions and reluctant willingness to deplete savings and incur debt.36 Survivors may struggle with making decisions about how to spend limited financial resources, highlighting both the objective material hardship and subjective emotional experiences (e.g., worry, rumination) of financial problems and decision-making difficulty.
AYAs report a need for education about how to manage cancer costs and insurance issues and to improve financial literacy.37,38 Survivors also want financial information about family-building options to be provided as a part of fertility counseling within cancer care.32 Increasingly, it is recognized that conversations about treatment costs and financial trade-offs are important components of health care, with multiple strategies put forth to improve the ways in which financial issues are managed (e.g., teaching clinicians to initiate cost conversations, systematic screening for financial distress, use of financial navigators).39,40 Cost conversations are important for at-risk or disadvantaged populations, particularly in this context, as minoritized groups based on race/ethnicity, gender identity, and sexual orientation are more likely to experience barriers in access to reproductive medicine, including fertility preservation after a cancer diagnosis.41–43
There have been efforts to create lower cost treatment protocols, specifically aimed to increase access among low-resource populations,44 but these are limited. Insurance often fails to cover ART procedures, and systems-level changes are needed to expand coverage and address rising cost-sharing practices.45 There is a recognized need for tailored FT management as a part of patient-centered cancer care46: for AYAs who received gonadotoxic therapies and hope to have a child (or more children), this should also include discussion about family-building options and costs.
Study limitations include the cross-sectional design, which precludes causal inferences and did not allow us to explore temporal relationships between FT and outcomes of interest. The study also included a relatively small convenience sample that was 76% white. Other population-based studies of AYA cancer incidence have reported 80%–88% white participants.47,48 We did not collect objective measures of FT (e.g., out-of-pocket estimates, percent of income spent on medical care), insurance coverage, or partner-level factors that may impact family-building experiences. These data are often not revealed by participants who are completing online surveys, and thus we decided not to include them.
Future studies should explore these relationships with comprehensive financial data over time, particularly among minoritized groups and those most at-risk for experiencing cancer-related FT and compared with noncancer peers. A comparison of family-building costs between those who preserved their fertility (e.g., have frozen eggs/embryos to use) versus those who did not may also be important to inform the decision-making and family-building processes.
Decisions about fertility and family building after cancer are complex, involving reproductive medicine or adoption processes with high costs. The present findings highlight the ways in which cancer-related financial effects may exacerbate difficulties survivors face as they navigate the process of achieving parenthood, and lead to financial barriers and increased stress for survivors. Survivors may benefit from financial support resources, such as information about grants, financial skills training, or financial counseling, to address financial stressors and better enable financial planning for future family building. Continued advocacy for insurance coverage for fertility preservation and ART procedures is needed to help alleviate financial barriers.
Author Disclosure Statement
No competing financial interests exist.
Funding Information
This research was supported by grants from the National Cancer Institute R03CA212924 (PI: Catherine Benedict) and K07CA229186 (PI: Catherine Benedict). BT was funded in part through the NIH/NCI Cancer Center Support Grant P30 CA008748.
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