Engagement Among Diverse Patient Backgrounds in a Remote Symptom Monitoring Program.

PURPOSE: Previous randomized controlled trials have demonstrated benefit from remote symptom monitoring (RSM) with electronic patient-reported outcomes. However, the racial diversity of enrolled patients was low and did not reflect the real-world racial proportions for individuals with cancer. METHODS: This secondary, cross-sectional analysis evaluated engagement of patients with cancer in a RSM program. Patient-reported race was grouped as Black, Other, or White. Patient address was used to map patient residence to determine rurality using Rural-Urban Commuting Area Codes and neighborhood disadvantage using Area Deprivation Index. Key outcomes included (1) being approached for RSM enrollment, (2) declining enrollment, (3) adherence with RSM via continuous completion of symptom surveys, and (4) withdrawal from RSM participation. Risk ratios (RR) and 95% CI were estimated from modified Poisson models with robust SEs. RESULTS: Between May 2021 and May 2023, 883 patients were approached to participate, of which 56 (6%) declined RSM. Of those who enrolled in RSM, a total of 27% of patients were Black or African American and 67% were White. In adjusted models, all patient population subgroups of interest had similar likelihoods of being approached for RSM participation; however, Black or African American patients were more than 3× more likely to decline participation than White participants (RR, 3.09 [95% CI, 1.73 to 5.53]). Patients living in more disadvantaged neighborhoods were less likely to decline (RR, 0.49 [95% CI, 0.24 to 1.02]), but less likely to adhere to surveys (RR, 0.81 [95% CI, 0.68 to 0.97]). All patient populations had a similar likelihood of withdrawing. CONCLUSION: Black patients and individuals living in more disadvantaged neighborhoods are at risk for lower engagement in RSM. Further work is needed to identify and overcome barriers to equitable participation.

A randomized controlled trial of shared decision-making treatment planning process to enhance shared decision-making in patients with MBC.

PURPOSE: Opportunities exist for patients with metastatic breast cancer (MBC) to engage in shared decision-making (SDM). Presenting patient-reported data, including patient treatment preferences, to oncologists before or during a treatment plan decision may improve patient engagement in treatment decisions. METHODS: This randomized controlled trial evaluated the standard-of-care treatment planning process vs. a novel treatment planning process focused on SDM, which included oncologist review of patient-reported treatment preferences, prior to or during treatment decisions among women with MBC. The primary outcome was patient perception of shared decision-making. Secondary outcomes included patient activation, treatment satisfaction, physician perception of treatment decision-making, and use of treatment plans. RESULTS: Among the 109 evaluable patients from December 2018 to June 2022, 28% were Black and 12% lived in a highly disadvantaged neighborhood. Although not reaching statistical significance, patients in the intervention arm perceived SDM more often than patients in the control arm (63% vs. 59%; Cramer's V = 0.05; OR 1.19; 95% CI 0.55-2.57). Among patients in the intervention arm, 31% were at the highest level of patient activation compared to 19% of those in the control arm (V = 0.18). In 82% of decisions, the oncologist agreed that the patient-reported data helped them engage in SDM. In 45% of decision, they reported changing management due to patient-reported data. CONCLUSIONS: Oncologist engagement in the treatment planning process, with oncologist review of patient-reported data, is a promising approach to improve patient participation in treatment decisions which should be tested in larger studies. TRIAL REGISTRATION: NCT03806738.

Assessing the association between quantity and quality of family caregiver participation in decision-making clinical encounters on patient activation in the metastatic breast cancer setting.

OBJECTIVE: Caregivers support individuals undergoing cancer treatment by assisting with activities, managing care, navigating healthcare systems, and communicating with care teams. We explored the quality and quantity of caregiver participation during recorded decision-making clinical appointments in women with metastatic breast cancer. METHODS: This was a convergent parallel mixed methods study that utilized qualitative and quantitative data collection and analysis. Caregiver participation quality was operationalized using a summative thematic content analysis to identify and sum caregiver actions performed during appointments. Performance of a greater number of actions was considered greater quality of participation. Caregiver participation quantity was measured by calculating the proportion of speaking time. Participation quality and quantity were compared to patient activation, assessed using the Patient Activation Measure 1-month post decision-making appointment. RESULTS: Fifty-three clinical encounters between patients with MBC, their caregivers, and oncologists were recorded. Identified caregiver actions included: General Support; Management of Treatment or Medication; Treatment History; Decision-Making; Insurance or Money; Pharmacy; Scheduling; Travel Concerns; General Cancer Understanding; Patient Specific Cancer Understanding; Caregiver-Initiated or Emphasis on Symptom Severity; and Caregiver Back-Up of Patient Symptom Description. Caregivers averaged 5 actions (SD 3): 48% of patient's caregivers had low quality (< 5 actions) and 52% had high quality (> 6 actions) participation. Regarding quantity, caregivers spoke on average for 4% of the encounter, with 60% of caregivers speaking less than 4% of the encounter (low quantity) and 40% of caregivers speaking more than 4% (high quantity). Greater quality and quantity of caregiver participation was associated with greater patient activation. CONCLUSIONS: Caregivers perform a variety of actions during oncological decision-making visits aiding both patient and provider. Greater participation in terms of quantity and quality by the caregiver was associated with greater patient activism, indicating a need for better integration of the caregiver in clinical decision-making environments.

Why location matters: associations between county-level characteristics and availability of National Cancer Oncology Research Program and National Cancer Institute sites.

BACKGROUND: The majority of patients with cancer seek care at community oncology sites; however, most clinical trials are available at National Cancer Institute (NCI)-designated sites. Although the NCI National Cancer Oncology Research Program (NCORP) was designed to address this problem, little is known about the county-level characteristics of NCORP site locations. METHODS: This cross-sectional analysis determined the association between availability of NCORP or NCI sites and county-level characteristic theme percentile scores from the Center for Disease Control and Prevention's Social Vulnerability Index themes. Health Resources and Services Administration's Area Health Resource Files were used to determine contiguous counties. We estimated risk ratios and 95% confidence intervals (CIs) using modified Poisson regression models to evaluate the association between county-level characteristics and site availability within singular and singular and contiguous counties. RESULTS: Of 3141 included counties, 14% had an NCORP, 2% had an NCI, and 1% had both sites. Among singular counties, for a standard deviation increase in the racial and ethnic theme score, there was a 22% higher likelihood of NCORP site availability (95% CI = 1.10 to 1.36); for a standard deviation increase in the socioeconomic status theme score, there was a 24% lower likelihood of NCORP site availability (95% CI = 0.67 to 0.87). Associations were of smaller magnitude when including contiguous counties. NCI sites were located in more vulnerable counties. CONCLUSIONS: NCORP sites were more often in racially diverse counties and less often in socioeconomically vulnerable counties. Research is needed to understand how clinical trial representation will increase if NCORP sites strategically increase their locations in more vulnerable counties.

Prevalence of Weight Stigma in Medical Settings Among Reproductive-Aged Women in the All of Us Study.

OBJECTIVE: To analyze health care treatment experiences among a diverse cohort of reproductive-aged women from the All of Us study, focusing on variations due to body mass index (BMI). METHODS: We conducted a cross-sectional study that used data from the All of Us Research Program. We analyzed weight bias among reproductive-aged women aged 18-44 years. Weight bias was assessed using a proxy 7-item survey that evaluated discrimination in health care experiences, including courtesy, respect, service quality, being treated as competent, displaying fear, being treated as inferior, and being listened to during health care visits. RESULTS: Overall, 16,791 reproductive-aged women (mean [SD] age, 35.8 [6.3]) were included in the study. Of 11,592 patients with data available on BMI, 582 were Asian (5.0%), 1,984 (17.1%) were Hispanic or Latinx, 1,007 (8.7%) were non-Hispanic Black, and 7,370 (63.6%) were non-Hispanic White. Approximately 24.2% of participants (n=2,878) had obesity, and 11.1% of participants (n=1,292) had severe obesity. In general, participants in higher BMI categories had negative experiences in the health care setting. Women with severe obesity were 1.5 to 2 times more likely to report poor experiences with their health care clinicians compared with women with healthy weight. CONCLUSION: Results show significant disparities in the health care experiences among reproductive-aged women. As participants' BMI category increased, so did their negative experiences in the health care setting. These findings underscore the urgent need for targeted interventions to address these inequities. Health care systems must prioritize strategies to ensure that all individuals, regardless of weight or BMI, receive equitable and respectful care.

Understanding the financial cost of cancer clinical trial participation.

BACKGROUND: Though financial hardship is a well-documented adverse effect of standard-of-care cancer treatment, little is known about out-of-pocket costs and their impact on patients participating in cancer clinical trials. This study explored the financial effects of cancer clinical trial participation. METHODS: This cross-sectional analysis used survey data collected in December 2022 and May 2023 from individuals with cancer previously served by Patient Advocate Foundation, a nonprofit organization providing social needs navigation and financial assistance to US adults with a chronic illness. Surveys included questions on cancer clinical trial participation, trial-related financial hardship, and sociodemographic data. Descriptive and bivariate analyses were conducted using Cramer's V to estimate the in-sample magnitude of association. Associations between trial-related financial hardship and sociodemographics were estimated using adjusted relative risks (aRR) and corresponding 95% confidence intervals (CI) from modified Poisson regression models with robust standard errors. RESULTS: Of 650 survey respondents, 18% (N = 118) reported ever participating in a cancer clinical trial. Of those, 47% (n = 55) reported financial hardship as a result of their trial participation. Respondents reporting trial-related financial hardship were more often unemployed or disabled (58% vs. 43%; V = 0.15), Medicare enrolled (53% vs. 40%; V = 0.15), and traveled >1 h to their cancer provider (45% vs. 17%; V = 0.33) compared to respondents reporting no hardship. Respondents who experienced trial-related financial hardship most often reported expenses from travel (reported by 71% of respondents), medical bills (58%), dining out (40%), or housing needs (40%). Modeling results indicated that respondents traveling >1 h vs. ≤30 min to their cancer provider had a 2.2× higher risk of financial hardship, even after adjusting for respondent race, income, employment, and insurance status (aRR = 2.2, 95% CI 1.3-3.8). Most respondents (53%) reported needing $200-$1000 per month to compensate for trial-related expenses. Over half (51%) of respondents reported less willingness to participate in future clinical trials due to incurred financial hardship. Notably, of patients who did not participate in a cancer clinical trial (n = 532), 13% declined participation due to cost. CONCLUSION: Cancer clinical trial-related financial hardship, most often stemming from travel expenses, affected almost half of trial-enrolled patients. Interventions are needed to reduce adverse financial participation effects and potentially improve cancer clinical trial participation.

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.

What's Behind the Dramatic Pre-2020 Declines in Hispanic/Latina Adolescent Childbearing? Decomposing Change by Age, Origin, and Nativity.

PURPOSE: To assess whether the large declines in adolescent childbearing among Hispanic adolescents over the period 2000-2019 have been driven by co-occurring changes in the composition of the Hispanic population and, if so, whether they have done so differentially by Hispanic subgroup. METHODS: We use birth counts from the United States vital statistics system and population denominators from the United States decennial census long form 5-percent Public Use Microdata and the American Community Survey to conduct a decomposition analysis apportioning observed declines in Hispanic adolescent childbearing to: (1) compositional shifts in nativity, age, and region-of-origin and (2) subgroup changes in childbearing rates. RESULTS: The Hispanic adolescent fertility rate fell by over 71% from 2000 to 2019, with Mexican-Origin, United States-born, and younger adolescents exhibiting the steepest declines (79%, 70%, and 80% declines, respectively). Results from the decomposition analysis show that almost 90% of the decline is due to within-group rate change, with some variability by subgroup and by decade. Only 10% of the decline was due to compositional changes, with shifts in nativity driving much of the effect. DISCUSSION: Declines in Hispanic adolescent childbearing over the last decades have occurred in spite of substantial shifts in the composition of the Hispanic population, not because of them. These findings set the stage for a more detailed examination of the drivers of change in sexual activity, contraceptive use, and abortion, all of which are proximate determinants of adolescent pregnancy and childbearing. Additionally, a focus on more distal factors is needed, including the role that changing political, societal, and economic conditions in the United States have for early fertility patterns.

Design, protocol and baseline data of Nurturing Healthy Teachers, a cluster non-randomized controlled trial to improve the health, well-being, and food security of preschool and elementary school teachers in Houston, Texas.

Background: We present the conceptual framework, design, and study measures of Nurturing Healthy Teachers, a quasi-experimental study to examine the short- and long-term effectiveness of the Nurturing Healthy Teachers (NHT) nutrition intervention on food insecurity, dietary behaviors, mental health and cardiometabolic health among preschool and elementary school teachers. Methods: A convenience sample of 28 elementary schools with pre-kindergarten and elementary classrooms were recruited in Houston, Texas. Nurturing Healthy Teacher intervention includes Brighter Bites, an evidence-based coordinated school health program that combines access to fresh produce and nutrition education, and Create Healthy Futures, a web-based nutrition education program that targets nutrition knowledge, self-efficacy, mindfulness, and social support to create healthy habits among teachers. The primary outcome is food insecurity. Secondary outcomes include diet quality, mental health, and cardiometabolic health. Metabolic markers and skin carotenoid levels were assessed using in-person assessments, while all other measures were obtained via questionnaire. Results: At baseline, most of the participants were female, 63 % identified as Hispanic, were highly educated, and had a mean age of 42.6 years. Overall, 50 % of teachers were classified as being obese and 20 % had high cholesterol. At baseline teachers had a mean HbA1c (%) of 5.6 %. Moderate to severe depression was experienced by 18 % of teachers and 23 % of teachers experienced moderate to severe anxiety. Conclusions: The results of this study will inform next steps towards future implementation and evaluation of teacher-focused interventions.

Perceptions to Overcoming Barriers to Prenatal Care in African American Women.

Pregnancy-related deaths affect African American women at a rate four to five times higher than White women. These deaths occur during pregnancy or up to 1 year after childbirth. Inadequate or delayed prenatal care is a factor associated with poor maternal health outcomes in African American women. Identifying factors that pose as facilitators and barriers to prenatal care is essential in developing interventions aimed at improving maternal health outcomes.

Accuracy of Cancer Registry Primary Payer Information and Implications for Policy Research.

BACKGROUND: Cancer registry-based "primary payer at diagnosis" (PPDx) data are commonly used to evaluate the effect of insurance on cancer care outcomes, yet little is known about how well they capture Medicaid or Medicare enrollment. METHODS: We linked the National Cancer Institute's Surveillance, Epidemiology, and End Results registry data to monthly Centers for Medicare and Medicaid Services (CMS) Medicaid and Medicare enrollment records, state-year Medicaid policy, and managed care enrollment. We selected adults aged 19-64 years diagnosed between 2007 and 2011. We used bivariate analyses to compare PPDx to CMS enrollment at diagnosis month and assessed underreporting rates by patient characteristics and state-year policy. RESULTS: PPDx reported 7.8% Medicare and 10.1% Medicaid, whereas CMS enrollment indicated 5.5% Medicare, 10.4% Medicaid, and 3.4% dual Medicare-Medicaid (N = 896,031). Positive predictive values for PPDx assignment to Medicaid and Medicare were 65.3% and 75.4%, with false negative rates of 52.0% and 33.8%, respectively. Medicaid underreporting was higher in low (56.5%) versus high (50.8%) poverty areas, for males (56.1%) versus females (48.9%), for Medicaid poverty expansion or waiver enrolled (63.8%) versus cash assistance-related eligibility (47.3%), and in states with large managed care enrollment (all P < 0.001). If Medicaid and Medicare enrollment data were used to edit PPDx, 12.0% of persons would switch primary payer assignment. CONCLUSIONS: Registry-reported PPDx fails to fully capture Medicaid and Medicare enrollment, which may result in biased estimates of insurance-related policy impacts. Enhancement with objective enrollment data could reduce measurement error and bias in estimates necessary to support policy assessment.

Mapping the intersection of social determinants of health, postpartum visit attendance, and pregnancy-related deaths: A scoping review.

BACKGROUND: Maternal health outcomes in the United States raises concern due to elevated rates of pregnancy-related deaths compared to other developed and underdeveloped countries. This scoping review explores relationships between social determinants of health (SDOH), postpartum visit attendance, and pregnancy-related deaths. METHODS: Utilizing the Arksey and O'Malley framework and PRISMA-Scr guidelines, a systematic review was conducted to identify pertinent literature. RESULTS: Eight studies were analyzed, providing insights into SDOH, postpartum visits, and pregnancy-related deaths. The findings highlight healthcare access/quality, economic stability, education, and social/community context as influential in postpartum care utilization. Health insurance emerges a key factor for postpartum attendance.  In addition, disparities in geographic access to maternity care services were linked to pregnancy-related deaths. Social contextual factors, such as marital status and social support, exhibited varying associations with postpartum visit attendance. CONCLUSION: While the analyzed studies provided valuable insight, there remains a gap in the literature examining all three key elements: SDOH, postpartum visit attendance, and pregnancy-related deaths. In conclusion, this scoping review highlights the vital role of addressing social determinants in improving maternal health outcomes.  Further research is necessary to better inform interventions to reduce pregnancy-related deaths.

Assessing the Impact of Family Caregivers in Clinical Encounter Participation on Patient Activation in the Metastatic Breast Cancer Setting.

Objective: Caregivers support individuals undergoing cancer treatment by assisting with activities, managing care, navigating healthcare systems, and communicating with care teams. We explored the quantity and quality of caregiver participation during recorded clinical appointments in women with metastatic breast cancer. Methods: This was a convergent parallel mixed methods study. Caregiver participation quality was operationalized using a summative thematic content analysis to identify and sum caregiver roles performed during appointments. Caregiver participation quantity was measured by calculating the proportion of speaking time. Participation quality and quantity were compared to patient activation, assessed using the Patient Activation Measure. Results: Fifty-three clinical encounters were recorded. Identified caregiver roles included: General Support; Management of Treatment or Medication; Treatment History; Decision-Making; Insurance or Money; Pharmacy; Scheduling; Travel Concerns; General Cancer Understanding; Patient Specific Cancer Understanding; Caregiver-Initiated or Emphasis on Symptom Severity; and Caregiver Back-Up of Patient Symptom Description. Caregivers averaged 5 roles (SD 3): 48% of patients had low quality (< 5 roles) and 52% had high quality (> 6 roles). Regarding quantity, caregivers spoke on average for 4% of the encounter, with 60% of patients having low quantity (< 4%) and 40% of patients having high quantity (> 4%). Greater quality and quantity of caregiver participation was associated with greater patient activation. Conclusions: Caregivers perform a variety of roles during oncological decision-making visits aiding both patient and provider. Greater participation in terms of quantity and quality by the caregiver was associated with greater patient activism, indicating a need for better integration of the caregiver in clinical decision-making environments.

Impact of Affordable Care Act provisions on the racial makeup of patients enrolled at a Deep South, high-risk breast cancer clinic.

Purpose: Black women are less likely to receive screening mammograms and are at a higher lifetime risk for developing breast cancer compared to their White counterparts. Affordable Care Act (ACA) provisions decreased cost sharing for women's preventive screening, potentially mitigating screening disparities. We examined enrollment of a high-risk screening program before and after ACA implementation stratified by race. Methods: This retrospective, quasi-experimental study examined the ACA's impact on patient demographics at a high-risk breast cancer screening clinic from 02/28/2003-02/28/2019. Patient demographic data were abstracted from electronic medical records and descriptively compared in the pre- and post-ACA time periods. Interrupted time series (ITS) analysis using Poisson regression assessed yearly clinic enrollment rates by race using incidence rate ratios (IRR) and 95% confidence intervals (CI). Results: 2,767 patients enrolled in the clinic. On average, patients were 46 years old (SD, ± 12), 82% were commercially insured, and 8% lived in a highly disadvantaged neighborhood. In ITS models accounting for trends over time, Prior to ACA implementation, White patient enrollment was stable (IRR 1.01, 95% CI 1.00-1.02) while Black patient enrollment increased at 13% per year (IRR 1.13, 95% CI 1.05-1.22). Compared to the pre-ACA enrollment period, the post-ACA enrollment rate remained unchanged for White patients (IRR 0.99, 95% CI 0.97-1.01) but decreased by 17% for Black patients (IRR 0.83, 95% CI 0.74-0.92). Conclusion: Black patient enrollment decreased at a high-risk breast cancer screening clinic post-ACA compared to the pre-ACA period, indicating a need to identify factors contributing to racial disparities in clinic enrollment.

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.

Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia.

BACKGROUND: Little is known regarding the association between insurance status and treatment delays in women with breast cancer and whether this association varies by neighborhood socioeconomic deprivation status. METHODS: In this cohort study, we used medical record data of women diagnosed with breast cancer between 2004 and 2022 at two Georgia-based healthcare systems. Treatment delay was defined as >90 days to surgery or >120 days to systemic treatment. Insurance coverage was categorized as private, Medicaid, Medicare, other public, or uninsured. Area deprivation index (ADI) was used as a proxy for neighborhood-level socioeconomic status. Associations between delayed treatment and insurance status were analyzed using logistic regression, with an interaction term assessing effect modification by ADI. RESULTS: Of the 14,195 women with breast cancer, 54% were non-Hispanic Black and 52% were privately insured. Compared with privately insured patients, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 79%, 75%, and 27% higher odds of delayed treatment, respectively (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.32-2.43; OR: 1.75, 95% CI: 1.43-2.13; OR: 1.27, 95% CI: 1.06-1.51). Among patients living in low-deprivation areas, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 100%, 84%, and 26% higher odds of delayed treatment than privately insured patients (OR: 2.00, 95% CI: 1.44-2.78; OR: 1.84, 95% CI: 1.48-2.30; OR: 1.26, 95% CI: 1.05-1.53). No differences in the odds of delayed treatment by insurance status were observed in patients living in high-deprivation areas. DISCUSSION/CONCLUSION: Insurance status was associated with treatment delays for women living in low-deprivation neighborhoods. However, for women living in neighborhoods with high deprivation, treatment delays were observed regardless of insurance status.

Associations between healthcare costs and care experiences among older adults with and without cancer.

INTRODUCTION: Care coordination and patient-provider communication are important for older adults with cancer, as they likely have additional, non-cancer chronic conditions requiring consultation across multiple providers. Suboptimal care coordination and patient-provider communication can lead to costly and preventable adverse outcomes. This study examines Medicare expenditures associated with patient-reported care coordination and patient-provider communication among older adults with and without cancer. MATERIALS AND METHODS: We explore SEER-CAHPS® (Surveillance, Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems) linked data for differences in health care expenditures by care coordination and patient-provider communication experiences for beneficiaries with and without cancer. The cancer cohort included beneficiaries with ten prevalent cancer types diagnosed 2011-2019 at least six months before completing a CAHPS survey. Medicare expenditures were abstracted from Medicare claims data. Care coordination and patient-provider communication composite scores (range 0-100, higher scores indicate better experiences) were patient-reported in the CAHPS® survey. We estimated expenditure differences per one-point change in composite scores for patients with and without cancer. RESULTS: Our analysis included 16,778 matched beneficiaries with and without a previously diagnosed cancer (N = 33,556). Higher care coordination and patient-provider communication scores were inversely associated with Medicare expenditures among beneficiaries with and without cancer in the six months prior to survey response, ranging from -$83 (standard error [SE] = $7) to -$90 (SE = $6) per month. Six months post-survey, expenditures estimates ranging -$88 (SE = $6) to -$106 (SE = $8) were found. DISCUSSION: We found that lower Medicare expenditures were associated with higher care coordination and patient-provider communication scores. As the number of survivors living longer both with and beyond their cancer grows, addressing their multifaceted care and improving outcomes will be critical.

A nationwide cross-sectional study on the association of patient-level factors with financial anxiety in the context of chronic medical conditions.

Patient-level characteristics associated with the prevalence and severity of financial anxiety have yet to be described. We conducted a cross-sectional analysis of survey data assessing financial anxiety in patients with chronic medical conditions in December 2020. 1771 patients (42.6% response rate) participated in the survey. Younger age (19-35 age compared to ≥ 75 age) (ß, 5.86; 95% CI 2.10-9.63), male sex (ß, - 1.9; 95% CI - 3.1 to - 0.73), Hispanic/Latino race/ethnicity (compared with White patients) (ß, 2.55; 95% CI 0.39-4.71), household size ≥ 4 (compare with single household) (ß, 4.54; 95% CI 2.44-6.64), household income of ≥ $96,000-$119,999 (compared with ≤ $23,999) (ß, - 3.2; 95% CI - 6.3 to 0.04), single marital status (compared with married) (ß, 2.18; 95% CI 0.65-3.71), unemployment (ß, 2.07; 95% CI 0.39-3.74), high-school education (compared with advanced degrees) (ß, 3.10; 95% CI 1.32-4.89), lack of insurance coverage (compared with private insurance) (ß, 6.05; 95% CI 2.66-9.45), more comorbidities (≥ 3 comorbidities compared to none) (ß, 2.95; 95% CI 1.00-4.90) were all independently associated with financial anxiety. Patients who are young, female, unmarried, and representing vulnerable sub-populations are at elevated risk for financial anxiety.

"It's just not easy to understand": A mixed methods study of health insurance literacy and insurance plan decision-making in cancer survivors.

BACKGROUND: Understanding cancer survivors' health insurance decision-making is needed to improve insurance choice, potentially resulting in reduced financial hardship. METHODS: This explanatory mixed methods study assessed health insurance decision-making in cancer survivors. Health Insurance Literacy Measure (HILM) captured HIL. Quantitative eye-tracking data collected from two simulated health insurance plan choice sets gauged dwell time (seconds), or interest, in benefits. Dwell time differences by HIL were estimated using adjusted linear models. Qualitative interviews explored survivors' insurance decision-making choices. RESULTS: Cancer survivors (N = 80; 38% breast cancer) had a median age of 43 at diagnosis (IQR 34-52). When comparing traditional and high-deductible health plans, survivors were most interested in drug costs (median dwell time 58 s, IQR 34-109). When comparing health maintenance organization and preferred provider organization plans, survivors were most interested in test/imaging costs (40s, IQR 14-67). Survivors with low versus high HIL had more interest in deductible (ß = 19 s, 95% CI 2-38) and hospitalization costs (ß = 14 s, 95% CI 1-27) in adjusted models. Survivors with low versus high HIL more often ranked out-of-pocket (OOP) maximums and coinsurance as the most important and confusing benefits, respectively. Interviews (n = 20) revealed survivors felt alone "to do their own research" about insurance choices. OOP maximums were cited as the deciding factor since it is "how much money is going to be taken out of my pocket." Coinsurance was considered "rather than a benefit, it's a hindrance." CONCLUSION: Interventions to aid in health insurance understanding and choice are needed to optimize plan choice and potentially reduce cancer-related financial hardship.