Dedicated financial hardship screening adds value to routine distress screening among gynecologic cancer patients.

OBJECTIVES: To evaluate existing distress screening to identify patients with financial hardship (FH) compared to dedicated FH screening and assess patient attitudes toward FH screening. METHODS: We screened gynecologic cancer patients starting a new line of therapy. Existing screening included: (1) Moderate/severe distress defined as Distress Thermometer score ≥ 4, (2) practical concerns identified from Problem Checklist, and (3) a single question assessing trouble paying for medications. FH screening included: (1) Comprehensive Score for Financial Toxicity (COST) tool and (2) 10-item Financial Needs Checklist to guide referrals. FH was defined as COST score < 26. We calculated sensitivity (patients with moderate/severe distress + FH over total patients with FH) and specificity (patients with no/mild distress + no FH over total patients with no FH) to assess the extent distress screening could capture FH. Surveys and exit interviews assessed patient perspectives toward screening. RESULTS: Of 364 patients screened for distress, average age was 62 years, 25% were Black, 45% were Medicare beneficiaries, 32% had moderate/severe distress, 15% reported ≥1 practical concern, and 0 reported trouble paying for medications. Most (n = 357, 98%) patients also completed FH screening: of them, 24% screened positive for FH, 32% reported ≥1 financial need. Distress screening had 57% sensitivity and 77% specificity for FH. Based on 79 surveys and 43 exit interviews, FH screening was acceptable with feedback to improve the timing and setting of screening. CONCLUSIONS: Dedicated FH screening was feasible and acceptable, but sensitivity was low. Importantly, 40% of women with FH would not have been identified with distress screening alone.

Cost sharing for oral lenvatinib among commercially insured patients.

OBJECTIVE: To use a nationwide pharmaceutical claims database to evaluate cost-sharing trends for commercially insured patients with cancer who were prescribed lenvatinib (Lenvima). STUDY DESIGN: IBM MarketScan databases were used to evaluate lenvatinib costs for patients with employer-based commercial insurance, and for patients 65 years and older, Medicare claims for fee-for-service plans. METHODS: Patients were included if they had least 1 outpatient pharmaceutical claim for lenvatinib paid on a noncapitated basis from 2015 to 2019. Median and IQR costs were estimated and inflation adjusted to 2019 US$ for 30-day supplies and reported as total, insurance liability, coordination of benefits, and out-of-pocket costs. RESULTS: A total of 685 patients had at least 1 pharmaceutical claim for lenvatinib, which included patients with thyroid (n = 251; 36.6%), renal cell (n = 202; 29.5%), hepatocellular (n = 160; 23.4%), and endometrial (n = 48; 7.0%) cancer. The median (IQR) number of prescriptions per patient was 3 (2-7), and the median (IQR) total days of supply was 90 (45-210) days. The median (IQR) 30-day cost of lenvatinib was $17,253 ($15,597-$18,120). Median (IQR) 30-day insurance liability was $16,847 ($15,000-$17,981). Median (IQR) 30-day coordination of benefits was $0 ($0-$0). Median (IQR) 30-day patient out-of-pocket cost was $32 ($0-$100). However, the maximum 30-day out-of-pocket cost in our patient cohort was $12,538. CONCLUSIONS: In this cohort, insurance was liable for the majority of total lenvatinib drug costs, and 75% of patients paid $100 or less per month out of pocket. This information can be used by care teams to counsel insured patients. Health systems and drug manufacturers must identify patients with high out-of-pocket costs and provide convenient access to financial assistance programs so that patients are not forced to forgo the benefits of these drugs due to financial barriers. Value-based payment models and drug pricing reform are also needed to address underlying drivers of high drug costs.

Cancer-Related Financial Hardship Screening as Part of Practice Transformation.

BACKGROUND: Data on financial hardship, an "adverse event" in individuals with cancer, are needed to inform policy and supportive care interventions and reduce adverse economic outcomes. METHODS: Lay navigator-led financial hardship screening was piloted among University of Alabama at Birmingham oncology patients initiating treatment in October 2020. Financial hardship screening, including reported financial distress and difficulty, was added to a standard-of-care treatment planning survey. Screening feasibility and completion and proportions of reported financial distress and difficulty were calculated overall and by patient race and rurality. The risk of financial distress by patient sociodemographics was estimated. RESULTS: Patients who completed a treatment planning survey (N=2741) were 18% Black, Indigenous, or persons of color (BIPOC) and 16% rural dwelling. The majority of patients completed financial hardship screening (90%), surpassing the target feasibility completion rate of 75%. The screening revealed 34% of patients were experiencing financial distress, including 49% of BIPOC and 30% of White patients. Adjusted models revealed BIPOC patients had a 48% higher risk of financial distress compared with those who were White (risk ratio 1.48, 95% CI, 1.31-1.66). Large differences in reported financial difficulties were seen comparing patients who were BIPOC and White (utilities: 33% vs. 10%, upfront medical payments: 44% vs. 23%, transportation: 28% vs. 12%, respectively). CONCLUSIONS: The collection of patient-reported financial hardship data via routine clinical care was feasible and identified racial inequities at treatment initiation. Efforts to collect patient economic data should support the design, implementation, and evaluation of patient-centered interventions to improve equity and reduce the impact of financial hardship.

Expanding research on the impact of financial hardship on emotional well-being: guidance of diverse stakeholders to the Emotional Well-Being and Economic Burden of Disease (EMOT-ECON) Research Network.

The Emotional Well-Being and Economic Burden (EMOT-ECON) Research Network is one of six research networks funded by the National Institutes of Health (NIH) to advance research about emotional well-being (EWB), and the only one that focuses on addressing how economic burden due to disease or illness affects EWB. The network convened researchers, patients, patient advocates, health care providers and other stakeholders from across the US to discuss the significance of addressing the impact of the economic burden of disease on EWB, the complexity of this prevalent problem for patients and families, and the research gaps that still need to be studied to ultimately develop strategies to reduce the impact of economic burden of disease on EWB and health. Participants identified some important future areas of research as those investigating: (i) prevalent and relevant emotions for patients experiencing economic burden of disease and financial hardship, and how their broader outlook on life is impacted; (ii) constructs and contexts that influence whether the economic burden is stressful; (iii) strategies to deal and cope and their positive or negative effects on EWB and health; and (iv) multi-level and multi-stakeholder interventions to address economic factors (e.g., costs, ability to pay), administrative burdens, education and training, and especially patients' emotional as well as financial status.

Financial toxicity: A practical review for gynecologic oncology teams to understand and address patient-level financial burdens.

Financial toxicity describes the adverse impact patients experience from the monetary and time costs of cancer care. The financial burden patients experience comes from substantially increased out-of-pocket spending that often occurs concurrent with reduced income due to sick leave from work. Financial toxicity is common affecting approximately half of patients with a gynecological cancer depending on the validated instrument used for measurement. Financial toxicity is experienced by patients in three domains: economic hardship affecting patients' material conditions (i.e., medical debt), psychological response (i.e., distress), and health-related coping behaviors that patients adopt (i.e., foregoing care due to costs). Higher financial toxicity among cancer patients has been associated with decreased quality of life, impaired adherence to recommended care, and worse overall survival. In this review, we describe the current literature on financial toxicity, including how it can be assessed with validated tools, the downstream impact on patients, risk factors, and employment concerns of survivors. Whenever possible, we highlight data from research featuring patients with gynecologic cancer specifically. We also review studies with interventions aimed to mitigate financial toxicity and offer the reader real world examples of interventions currently being used. Lastly, we provide an overview of health policy developments relevant to financial toxicity and advocate for innovation in the development and implementation of strategies to decrease the financial toxicity patients experience following a diagnosis of gynecologic cancer.

Health-care access dimensions and ovarian cancer survival: SEER-Medicare analysis of the ORCHiD study.

BACKGROUND: Racial and ethnic disparities in ovarian cancer (OC) survival are well-documented. However, few studies have investigated how health-care access (HCA) contributes to these disparities. METHODS: To evaluate the influence of HCA on OC mortality, we analyzed 2008-2015 Surveillance, Epidemiology, and End Results-Medicare data. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HCA dimensions (affordability, availability, accessibility) and OC-specific and all-cause mortality, adjusting for patient characteristics and treatment receipt. RESULTS: The study cohort included 7590 OC patients: 454 (6.0%) Hispanic, 501 (6.6%) Non-Hispanic (NH) Black, and 6635 (87.4%) NH White. Higher affordability (HR = 0.90, 95% CI = 0.87 to 0.94), availability (HR = 0.95, 95% CI = 0.92 to 0.99), and accessibility scores (HR = 0.93, 95% CI = 0.87 to 0.99) were associated with lower risk of OC mortality after adjusting for demographic and clinical factors. Racial disparities were observed after additional adjustment for these HCA dimensions: NH Black patients experienced a 26% higher risk of OC mortality compared with NH White patients (HR = 1.26, 95% CI = 1.11 to 1.43) and a 45% higher risk among patients who survived at least 12 months (HR = 1.45, 95% CI = 1.16 to 1.81). CONCLUSIONS: HCA dimensions are statistically significantly associated with mortality after OC and explain some, but not all, of the observed racial disparity in survival of patients with OC. Although equalizing access to quality health care remains critical, research on other HCA dimensions is needed to determine additional factors contributing to disparate OC outcomes by race and ethnicity and advance the field toward health equity.

Identity-related experiences of Asian American trainees in gynecologic oncology.

Background: Anti-Asian violence increased during the COVID-19 pandemic. Asian American/Pacific Islanders (AAPI) represent a diverse population experiencing a long history of stereotyping and exclusionism; however, this group is often left out of diversity/inclusion conversations. In academic medicine, AAPI are under-represented in leadership. We characterized the personal/professional experiences of AAPI gynecologic oncology trainees and assessed the impact of a virtual panel discussion with leaders in the field. Methods: An anonymous survey was disseminated online to trainees in/interested in gynecologic oncology fellowship who identified as AAPI, using modified snowball sampling. A virtual session with AAPI leaders in gynecologic oncology discussed themes emerging from survey responses. Session attendees completed an anonymous follow-up survey. Results were assessed quantitatively and qualitatively. Results: 44/59 (75%) respondents participated in the pre-survey; 23 (39%) participated in the virtual session. All session participants (23/23, 100%) completed the post-session survey. Participants reported increased identity-related thoughts with the COVID-19 pandemic (88% during, 61% prior). Sixty-eight percent reported that identity-related thoughts/awareness changed during the pandemic. Presence of AAPI colleagues was associated with higher perceived identity-related support from their department. Of those without AAPI coworkers, none (0%) felt 'moderately' or 'extremely well supported.' Qualitative analysis demonstrated that the panel discussion created a sense of community and encouragement, combating previously reported isolation and self-consciousness. Participants reported more connection with their heritage and identified more personal/professional topics that might be related to their cultural backgrounds. Discussion: This intervention demonstrates the opportunity to provide a supportive network for mentorship and professional development in a culturally inclusive way.

Ineligible, Unaware, or Uninterested? Associations Between Underrepresented Patient Populations and Retention in the Pathway to Cancer Clinical Trial Enrollment.

PURPOSE: Cancer clinical trials can benefit current and future patients; however, Black patients, rural residents, and patients living in disadvantaged areas are often underrepresented. Using an adapted version of Unger and colleagues' model of the process of clinical trial enrollment, we evaluated the relationship between underrepresented patient populations and trial end points. METHODS: This retrospective study included 512 patients with breast or ovarian cancer who were prescribed a therapeutic drug at the University of Alabama at Birmingham from January 2017 to February 2020. Patient eligibility was assessed using open clinical trials. We estimated odds ratios and 95% CIs using logistic regression models to examine the relationship between underrepresented patient populations and trial enrollment end points: eligibility, interest, offer, enrollment, and declining enrollment. RESULTS: Of the patients in our sample, 27% were Black, 18% were rural residents, and 19% lived in higher disadvantaged neighborhoods. In adjusted models, each comparison group had similar odds of being eligible for a clinical trial. Black versus White patients had 0.40 times the odds of interest in clinical trials and 0.56 times the odds of enrollment. Patients living in areas of higher versus lower disadvantage had 0.46 times the odds of enrolling and 3.40 times the odds of declining enrollment when offered. CONCLUSION: Eligibility did not drive clinical trial enrollment disparities in our sample; however, retention in the clinical trial enrollment process appears to vary by group. Additional work is needed to understand how interventions can be tailored to each population's specific needs.

Navigating job and cancer demands during treatment: A qualitative study of ovarian cancer patients.

OBJECTIVE: Our objective was to obtain perspectives from ovarian cancer patients on job demands, cancer demands, and workplace or cancer resources and strategies to manage the cancer-work interface using the cancer-work management conceptual framework. METHODS: We recruited ovarian cancer patients receiving systemic therapy who screened positive for financial distress using Comprehensive Score for Financial Toxicity <26. Interviews were conducted with participants about their costs of care, including employment concerns. Interviews were recorded, transcribed verbatim, and analyzed by three researchers using an inductive thematic analysis. RESULTS: Of 22 participants, the average age was 57 years old, 36% were Black, 68% had income <$40,000, 41% had public insurance, and 68% were being treated for recurrent disease. Job demands included decreased productivity, inability to return to work, and worry about losing a job or employer-based health insurance coverage. Cancer demands included physical and cognitive limitations due to cancer treatment and reliance on caregivers, especially for transportation. Workplace resources/strategies including having a supportive employer, modifying job responsibilities, and utilizing family medical leave. Cancer care resources/strategies included planning appointments ahead of time and utilizing resources, such as disability. CONCLUSIONS: Cancer care teams should consider screening patients for employment concerns; streamline care to minimize the side effects, time, and transportation demands of treatment on patients and caregivers; maximize utilization of available resources; and proactively communicate with employers to accommodate patients and caregivers who want or need to work.

Moderate to severe distress in half of ovarian cancer patients undergoing treatment highlights a need for more proactive symptom and psychosocial management.

OBJECTIVE: Distress screening and management is a recommended component of oncology care. Our objective was to evaluate distress rate, sources, and compliance with psychosocial follow-up among ovarian cancer patients receiving chemotherapy. METHODS: We reviewed patient distress surveys completed by ovarian cancer patients receiving chemotherapy from 10/2017-6/2019. Lay or nurse navigators conducted screening with the NCCN Distress Thermometer from 0 (none) to 10 (highest distress). A distress score ≥ 4 (moderate/severe) was considered a positive screen. A recommendation for psychosocial follow-up was automatically generated in the treatment care plan based upon a yes response to any depression-related concern, independent of distress score. Documentation of referral to a mental health professional or social worker for counseling was considered compliant with psychosocial follow-up. We performed descriptive statistics and bivariate analyses. RESULTS: 97/211 (46%) ovarian cancer patients screened positive for distress. Average score was 6.1 for those who screened positive and 3.3 for the entire cohort (range 0-10). Unmarried status (p < 0.01) was associated with positive screen, whereas non-white race (p = 0.26) and recurrent disease (p = 0.21) were not. Median age was older for patients with a positive distress screen (p < 0.01). Among screened patients, the most frequent sources of distress were: cognitive/physical (87%), psychosocial (62%), practical (84%), and family concerns (40%). Of 50 patients recommended to have psychosocial referral, 4 (8%) patients had documented psychiatric follow-up and 19 (38%) patients had documented psychosocial counseling by a social worker. CONCLUSIONS: Nearly half of ovarian cancer patients screened positive for moderate/severe distress. Cancer/treatment-related cognitive/physical symptoms were the most frequent sources. Improved methods of symptom monitoring and management during treatment and resources to address psychosocial concerns are needed to improve distress management of ovarian cancer patients.

Navigating financial toxicity in patients with cancer: A multidisciplinary management approach.

Approximately one-half of individuals with cancer face personal economic burdens associated with the disease and its treatment, a problem known as financial toxicity (FT). FT more frequently affects socioeconomically vulnerable individuals and leads to subsequent adverse economic and health outcomes. Whereas multilevel systemic factors at the policy, payer, and provider levels drive FT, there are also accompanying intervenable patient-level factors that exacerbate FT in the setting of clinical care delivery. The primary strategy to intervene on FT at the patient level is financial navigation. Financial navigation uses comprehensive assessment of patients' risk factors for FT, guidance toward support resources, and referrals to assist patient financial needs during cancer care. Social workers or nurse navigators most frequently lead financial navigation. Oncologists and clinical provider teams are multidisciplinary partners who can support optimal FT management in the context of their clinical roles. Oncologists and clinical provider teams can proactively assess patient concerns about the financial hardship and employment effects of disease and treatment. They can respond by streamlining clinical treatment and care delivery planning and incorporating FT concerns into comprehensive goals of care discussions and coordinated symptom and psychosocial care. By understanding how age and life stage, socioeconomic, and cultural factors modify FT trajectory, oncologists and multidisciplinary health care teams can be engaged and informative in patient-centered, tailored FT management. The case presentations in this report provide a practical context to summarize authors' recommendations for patient-level FT management, supported by a review of key supporting evidence and a discussion of challenges to mitigating FT in oncology care. CA Cancer J Clin. 2022;72:437-453.

Piloting use of an out-of-pocket cost tracker among gynecologic cancer patients.

Objective: Our objective was to evaluate uptake and satisfaction with an out-of-pocket (OOP) cost tracker as a means for cancer patients to manage their personalized costs of care and to identify characteristics associated with usage. Methods: Within a longitudinal survey evaluating financial toxicity among gynecologic cancer patients on active systemic therapy over a 6-month period, we provided paper worksheets for participants to voluntarily track expenses. We assessed usage and satisfaction at 3 and 6 months using frequency and percentage. We used Fisher's exact test and Wilcoxon rank sum analysis to evaluate patient characteristics based upon usage. Participants were encouraged to submit their completed cost tracker worksheets. Results: Fifty-three of 121 (44%) participants reported ever using the OOP cost tracker. Most users reported it was easy to use (97%, 100%) and helpful (86%, 72%); however, fewer users rated it as useful for budgeting (42%, 26%) at 3 and 6 months, respectively. More patients who knew their insurance premium were users compared to non-users (74.4% vs. 54.4%, p = 0.04). Among thirteen users who submitted their completed cost tracker worksheets, non-medical costs (i.e., transportation) had the highest monthly out of pocket costs (mean $213, range $0-587). User feedback included suggestions to enhance the cost tracker with educational tutorials or a reminder system. Conclusions: Future studies should explore if cost tracker uptake and satisfaction are enhanced with the addition of reminders and whether usage decreases financial toxicity or increases patient self-efficacy in managing the costs of cancer care.

Effect of misoprostol on type 3 transformation zone of the cervix among Cameroonian women.

Background: Type 3 transformation zone (TZ) of the cervix has been shown to be associated with a four to five-fold increased risk of missed precancerous/cancerous lesions. The aim of this study was to evaluate the effect of intravaginal misoprostol on the TZ among women with Type 3 TZ in Cameroon. Materials and methods: A single dose of vaginal misoprostol (400 mcg or 600 mcg) was administered as part of the plan of care for women with Type 3 TZ during cervical cancer screening. The primary outcome was successful conversion from Type 3 TZ to Types 1 or 2 TZ. Descriptive analysis was performed using chi-square and Fisher's exact tests. Results: Among the 90 of 107 (84.2%) women who returned for re-evaluation of the cervix, 43 (47.8%, 95% CI: 0.36%-0.60%) had conversion of Type 3 TZ to Types 1 or 2. Women who received misoprostol 600 mcg were more likely to have their Type 3 TZs converted to Types 1 or 2 than women receiving 400 mcg (p = 0.037). Conclusion: Misoprostol converted approximately 50% of Type 3 TZ to Types 1 or 2 in Cameroon. Misoprostol is feasible in converting Type 3 TZ to Types 1 or 2 among Cameroonian women.

Misoprostol and estradiol to enhance visualization of the transformation zone during cervical cancer screening: An integrative review.

The purpose of this integrative literature review was to appraise studies conducted worldwide using misoprostol and estradiol in converting Type 3 transformation zone (TZ) of the cervix into Types 1 or 2 and to assess which regimen could be more feasible in low-and-middle-income countries (LMICs). We reviewed the English language literature for peer-reviewed studies that evaluated strategies to convert Type 3 TZs to Types 1 or 2 for cervical cancer screening. Web of Science and PubMed searches were performed up to July 2020. Search terms included: "cervical colposcopy," "inadequate colposcopy", "cervical cancer screening", "transformation zone," "estrogen", "estradiol", and "misoprostol." Inclusion criteria were articles published in the English language, original research, and peer reviewed articles. A total of 127 articles were abstracted, 24 articles were reviewed, and 9 articles met all inclusion criteria. We found that intravaginal misoprostol, intravaginal estradiol, and oral estradiol can successfully convert Type 3 TZ to Types 1 or 2. A single dose of vaginal misoprostol had a similar maximum response rate (20-80%) to a multi-dose regimen over several days or weeks of both intravaginal estradiol (64-83%) and oral estradiol (50-70%). Misoprostol administration was associated with more side effects such as abdominal cramping and vaginal bleeding compared to estradiol, although these were generally mild. In conclusion, Oral estradiol, intravaginal estradiol, and intravaginal misoprostol can be used to convert Type 3 TZ to Types 1 or 2. Intravaginal misoprostol is well tolerated and more feasible in LMICs due to availability and shorter treatment schedule compared to oral or intravaginal estradiol.

Pathology findings among women with alterations in uterine bleeding patterns in cameroon.

PURPOSE: Endometrial cancer is on the rise in high-income countries but it has not been adequately studied in low-and-middle income countries especially in sub-Saharan Africa (SSA), likely due to scarce pathology facilities. The purpose of this study was to characterize and quantify the prevalence of endometrial hyperplasia or cancer in a cohort of women with abnormal uterine bleeding (AUB) who underwent endometrial biopsy in Cameroon. METHODS: We designed a cross-sectional study using medical records to characterize women who underwent endometrial biopsy in the Cameroon Baptist Convention Health Services (CBCHS) from 2008 to 2019. Pathologic diagnoses were classified as either endometrial hyperplasia, endometrial cancer, or no endometrial hyperplasia/cancer. We reported the overall prevalence of endometrial hyperplasia or cancer. Bivariate analyses compared patient characteristics between women with endometrial cancer, endometrial hyperplasia, and neither. RESULTS: The average age was 46.2 years and women had an average of 5.1 parity. We found that, 61 [(36.7% of 166 women; 95% CI (27.6-47.0%)] had endometrial hyperplasia or cancer. There were no cases of hyperplasia with atypia and 13 women had endometrial cancer. The remainder were comprised of benign or infectious pathologic findings. In bivariate analysis, mean ages were statistically different among the three groups (hyperplasia, cancer, and no hyperplasia/cancer), p < 0.001, and women with cancer had the highest age. Parity was statistically significantly different among the three groups (p = 0.002) and women with endometrial cancer had higher parity. CONCLUSION: We found that just over 1 in 3 women with AUB who underwent endometrial biopsy at a health system in SSA were found to have pathologic findings of endometrial hyperplasia or cancer, with no cases of hyperplasia with atypia. Women with endometrial cancer had higher mean age and parity.

Evaluating meaningful levels of financial toxicity in gynecologic cancers.

OBJECTIVE: The Comprehensive Score for Financial Toxicity (COST) is a validated instrument measuring the economic burden experienced by patients with cancer. We evaluated the frequency of financial toxicity at different COST levels and stratified risk factors and associations with cost-coping strategies by financial toxicity severity. METHODS: We analyzed previously collected survey data of gynecologic oncology patients from two tertiary care institutions. Both surveys included the COST tool and questions assessing economic and behavioral cost-coping strategies. We adapted a proposed grading scale to define three groups: no/mild, moderate, and severe financial toxicity and used χ2, Fisher's exact test, and Wilcoxon rank sum test to compare groups. We used Poisson regression to calculate crude and adjusted risk ratios for cost-coping strategies, comparing patients with moderate or severe to no/mild financial toxicity. RESULTS: Among 308 patients, 14.9% had severe, 32.1% had moderate, and 52.9% had no/mild financial toxicity. Younger age, non-white race, lower education, unemployment, lower income, use of systemic therapy, and shorter time since diagnosis were associated with worse financial toxicity (all p<0.05). Respondents with moderate or severe financial toxicity were significantly more likely to use economic cost-coping strategies such as changing spending habits (adjusted risk ratio (aRR) 2.7, 95% CI 1.8 to 4.0 moderate; aRR 3.6, 95% CI 2.4 to 5.4 severe) and borrowing money (aRR 5.5, 95% CI 1.8 to 16.5 moderate; aRR 12.7, 95% CI 4.3 to 37.1 severe). Those with severe financial toxicity also had a significantly higher risk of behavioral cost-coping through medication non-compliance (aRR 4.6, 95% CI 1.2 to 18.1). CONCLUSIONS: Among a geographically diverse cohort of gynecologic oncology patients, nearly half reported financial toxicity (COST <26), which was associated with economic cost-coping strategies. In those 14.9% of patients reporting severe financial toxicity (COST <14) there was also an increased risk of medication non-compliance, which may lead to worse health outcomes in this group.

Measuring Financial Distress and Quality of Life Over Time in Patients With Gynecologic Cancer-Making the Case to Screen Early in the Treatment Course.

PURPOSE: Our objective was to measure the trajectory of financial distress and to determine its relationship with quality of life (QOL) among patients with cancer. MATERIALS AND METHODS: We conducted a longitudinal survey of patients with gynecologic cancer starting a new line of systemic therapy at baseline, 3 months, and 6 months. Financial distress was measured using a Comprehensive Score for Financial Toxicity (COST) < 26, and QOL was measured using Functional Assessment of Cancer Therapy-General (FACT-G) with lower scores indicating worse responses. One-way repeated analysis of variances, generalized estimating equation models, and correlation coefficients were used to evaluate financial distress and QOL over time. RESULTS: There were 90 of 121 (74%) baseline participants with a 6-month follow-up. The average age was 60 years, 29% were African-American, 57% had an annual income < $40,000 in US dollars, and 6% were uninsured. At baseline, 54% of patients screened positive for financial distress, which was unchanged at 3 months (50%, P = .27) but decreased at 6 months (46%, P = .04) compared with baseline. There was no change in average COST (23.6, 25.1, 25.6; P = .33) or FACT-G (70.8, 71.0, 72.8; P = .68) over time. Less financial distress was moderately correlated with better QOL (r = 0.63, 0.61, 0.60) at each time point. The presence of financial distress was associated with a 16-point decrease in FACT-G QOL score over time. CONCLUSION: Upfront screening with COST identified 90% of patients who experienced financial distress, and COST did not change significantly over time. More severe financial distress was moderately correlated with worse QOL, and its presence was associated with a clinically meaningful 16-point decrease in QOL.

The financial burden of PARP inhibitors on patients, payors, and financial assistance programs: Who bears the cost?

OBJECTIVES: Poly(ADP-ribose) polymerase (PARP) inhibitors are expensive and their use is expanding. We aimed to evaluate cost sharing patterns between patients, payors, and financial assistance programs. METHODS: We identified ovarian cancer patients prescribed a PARP inhibitor from 5/2015-9/2019 using our pharmacy database. Cost information was collected for patients who filled their prescription at our specialty pharmacy. We calculated descriptive statistics for monthly PARP inhibitor costs for patients, payors, and financial assistance programs. We used Wilcoxon rank sum tests to evaluate monthly costs based on insurance characteristics. RESULTS: Seventy-six patients filled 94 different PARP inhibitor prescriptions with 42 (45%) prescriptions obtained using any type of financial assistance program. We analyzed 232 prescription months for the 41 prescriptions with available cost data. This included 18 (44%) prescriptions for rucaparib, 18 (44%) for niraparib, and 5 (12%) for olaparib. The total monthly drug cost was average $12,422 and median $13,700. The monthly out-of-pocket (OOP) cost for patients was average $46 and median $0 (IQR $0-4). Payors had the highest monthly costs with average $12,019 and median $13,662 (IQR $9914-14,709). Financial assistance programs contributed average $358 and median $0 per month (IQR $0-150). Patients with public (p<0.01) or Medicare insurance (p<0.01) had higher OOP costs than without. CONCLUSIONS: OOP costs were generally low with 75% of patients paying <$5 per month. While limited by small sample size at a single institution, financial assistance programs appear to play a critical role to ensure access to PARP inhibitors as nearly 50% of patients utilized these programs.

Total and out-of-pocket costs for PARP inhibitors among insured ovarian cancer patients.

OBJECTIVE: To evaluate total and out-of-pocket costs for poly(ADP-ribose) polymerase (PARP) inhibitors and differences based on insurance characteristics. METHODS: We identified ovarian cancer patients who were prescribed niraparib, olaparib, or rucaparib from the MarketScan (2014-2017) and Surveillance, Epidemiology, and End Results (SEER)-Medicare (2014-2016) databases. Drug costs were estimated for a 30-day supply. Descriptive statistics and Wilcoxon rank sum tests were performed. RESULTS: 590 commercially insured beneficiaries from MarketScan and 213 SEER-Medicare beneficiaries were prescribed PARP inhibitors for a median 112 days. For commercially insured beneficiaries, median total cost was $13,342 (IQR $12,022-$14,256). Median out-of-pocket cost was $44 (IQR $0-$120) and PARP inhibitors accounted for a median 90.8% of patients' total out-of-pocket drug spending. High-deductible health plan was not associated with higher out-of-pocket costs (N = 570; median $0 vs. $45, P = 0.87). For SEER-Medicare beneficiaries, median total cost was $12,798 (IQR $11,704-$13,180). Median out-of-pocket cost was $370 (IQR $2-$1234) and PARP inhibitors accounted for a median 99.0% of patients' total out-of-pocket drug spending. Out-of-pocket costs were lower for dual-eligible patients with supplemental Medicaid prescription coverage (N = 209; median $1 vs. $911, P < 0.001). CONCLUSIONS: Although insurers are responsible for a large proportion of PARP inhibitor costs, out-of-pocket costs for PARP inhibitors account for a majority of patients' drug spending. SEER-Medicare beneficiaries had higher out-of-pocket costs than patients with commercial insurance, which was offset for those with supplemental Medicaid prescription coverage.