Insurance Coverage, and Having a Regular Provider, and Utilization of Cancer Follow-up and Noncancer Health Care Among Childhood Cancer Survivors

Emergency Department Use in Adolescent and Young Adult Cancer Early Survivors from 2006 to 2020

Purpose: Understanding emergency department (ED) use in adolescent and young adult (AYA) survivors could identify gaps in AYA survivorship. Methods: We conducted a cohort study of 7925 AYA survivors (aged 15-39 years at diagnosis) who were 2-5 years from diagnosis in 2006-2020 at Kaiser Permanente Southern California. We calculated ED utilization rates overall and by indication of the encounter (headache, cardiac issues, and suicide attempts). We estimated rate changes by survivorship year and patient factors associated with ED visit using a Poisson model. Results: Cohort was 65.4% women, 45.8% Hispanic, with mean age at diagnosis at 31.3 years. Overall, 38% of AYA survivors had ≥1 ED visit (95th percentile: 5 ED visits). Unadjusted ED rates declined from 374.2/1000 person-years (PY) in Y2 to 327.2 in Y5 (p change < 0.001). Unadjusted rates declined for headache, cardiac issues, and suicide attempts. Factors associated with increased ED use included: age 20-24 at diagnosis [relative risk (RR) = 1.30, 95% CI 1.09-1.56 vs. 35-39 years]; female (RR = 1.27, 95% CI 1.11-1.47 vs. male); non-Hispanic Black race/ethnicity (RR 1.64, 95% CI 1.38-1.95 vs. non-Hispanic white); comorbidity (RR = 1.34, 95% CI 1.16-1.55 for 1 and RR 1.80, 95% CI 1.40-2.30 for 2+ vs. none); and public insurance (RR = 1.99, 95% CI 1.70-2.32 vs. private). Compared with thyroid cancer, cancers associated with increased ED use were breast (RR = 1.45, 95% CI 1.24-1.70), cervical (RR = 2.18, 95% CI 1.76-2.71), colorectal (RR = 2.34, 95% CI 1.94-2.81), and sarcoma (RR = 1.39, 95% CI 1.03-1.88). Conclusion: ED utilization declined as time from diagnosis elapsed, but higher utilization was associated with social determinants of health and cancer types.

Cancer center-based follow-up among pediatric and adolescent/young adult cancer survivors: the role of a community-based organization and the social determinants of health

PURPOSE

Adherence to survivorship care is suboptimal among pediatric and adolescent/young adult (AYA) cancer survivors. We evaluated predictors of cancer center-based follow-up among pediatric/AYA cancer survivors, with an emphasis on social determinants of health (SDOH).

METHODS

This retrospective cohort study used electronic health record data at an academic medical center to identify patients aged 0-29 years at last cancer treatment who completed treatment 2010-2019. Cancer center-based follow-up was defined by oncology or survivorship clinic visits through 12/31/2022. Multivariate logistic regression models (overall, ages 0-19 [pediatric], 20-29 [YA]) evaluated the association of demographics, clinical/treatment characteristics, and SDOH (insurance type, distance to cancer center, area deprivation index) with clinic attendance. Further modeling accounted for the service area of a community-based organization (CBO) that supports families of children with cancer.

RESULTS

A total of 2210 survivors were included (56% pediatric, 44% YA; 66% non-White). Cancer center-based follow-up decreased from 94% 1-year post-treatment to 35% at > 5-7 years. In adjusted analysis, AYAs had the lowest follow-up (5-7 years post-treatment: OR 0.25 [0.15-0.41] for age 25-29; OR 0.25 [0.16-0.41] for age 20-24; OR 0.32 [0.20-0.52] for age 15-19). Survivors residing within the CBO service area were twice as likely to follow-up (OR 2.10 [1.34-3.29]).

CONCLUSIONS

Among a diverse population, AYA survivors were vulnerable to loss to follow-up. Other SDOH were not consistently associated with follow-up. Support from a CBO may partly explain these findings.

IMPLICATIONS FOR CANCER SURVIVORS

CBOs may strengthen survivorship follow-up within medically underserved communities. More research is needed to understand community support in survivorship.

A Scoping Review Exploring Access to Survivorship Care for Childhood, Adolescent, and Young Adult Cancer Survivors: How Can We Optimize Care Pathways?

Childhood, adolescent, and young adult (CAYA) cancer survivors are at risk of developing late effects associated with their cancer and its treatment. Survivors' engagement with recommended follow-up care to minimize these risks is suboptimal, with many barriers commonly reported. This scoping review aims to summarize the barriers to accessing follow-up care, using the dimensions of Levesque's framework for accessing healthcare. We retrieved quantitative studies addressing barriers and facilitators to accessing survivorship care in CAYA survivors from PubMed, EMBASE and CINAHL. Data was categorized into the five healthcare access dimensions outlined in Levesque's framework: i) approachability, ii) acceptability, iii) availability and accommodation, iv) affordability, and v) appropriateness. We identified 27 quantitative studies in our review. Commonly reported barriers to accessing care included a lack of survivor and provider knowledge of cancer survivorship, poor health beliefs, low personal salience to engage in follow-up care, high out-of-pocket costs and survivors living long distances from clinical services. Many studies reported increased barriers to care during the transition from paediatric to adult-oriented healthcare services, including a lack of developmentally appropriate services, lack of appointment reminders, and a poorly defined transition process. Healthcare-related self-efficacy was identified as an important facilitator to accessing follow-up care. The transition from pediatric to adult-oriented healthcare services is a challenging time for childhood, adolescent, and young adult cancer survivors. Optimizing CAYAs' ability to access high-quality survivorship care thus requires careful consideration of the quality and acceptability of services, alongside financial and physical/practical barriers (eg distance from available services, appointment-booking mechanisms). Levesque's model highlighted several areas where evidence is well established (eg financial barriers) or lacking (eg factors associated with engagement in follow-up care) which are useful to understand barriers and facilitators that impact access to survivorship for CAYA cancer survivors, as well as guiding areas for further evaluation.

Disparities in pediatric cancer survivorship care: A systematic review

BACKGROUND

Childhood cancer survivors (CCS) experience many long-term health problems that can be mitigated with recommended survivorship care. However, many CCS do not have access to survivorship care nor receive recommended survivorship care. We reviewed the empirical evidence of disparities in survivorship care for CCS.

METHODS

This systematic review searched PubMed, CINAHL, and PsycINFO for studies on survivorship care for CCS (PROSPERO: CRD42021227965) and abstracted the reported presence or absence of disparities in care. We screened 7945 citations, and of those, we reviewed 2760 publications at full text.

RESULTS

A total of 22 studies reported in 61 publications met inclusion criteria. Potential disparities by cancer treatment (N = 14), diagnosis (N = 13), sex (N = 13), and current age (N = 13) were frequently studied. There was high quality of evidence (QOE) of survivorship care disparities associated with non-White race, Hispanic ethnicity, and being uninsured. Moderate QOE demonstrated disparities among CCS who were unemployed and older. Lower QOE was found for disparities based on cancer diagnosis, cancer treatment, age at diagnosis, time since diagnosis, sex, insurance type, income, educational attainment, and geographic area.

CONCLUSIONS

We found strong empirical evidence of disparities in survivorship care for CCS associated with race, ethnicity, and insurance status. Multiple other disparate groups, such as those by employment, income, insurance type, education, cancer diagnosis, age at diagnosis, time since diagnosis, cancer treatment, geographic area, sex, and self-identified gender warrant further investigation. Prospective, multilevel research is needed to examine the role of other patient characteristics as potential disparities hindering adequate survivorship care in CCS.

Healthcare utilization and cost barriers among U.S. childhood cancer survivors

BACKGROUND

To evaluate healthcare utilization and cost barrier patterns among childhood cancer survivors (CCS) compared with noncancer controls.

PROCEDURE

Using the 2014-2019 Behavioral Risk Factor Surveillance System, we identified CCS < 50 years and matched controls. We used chi-squared tests to compare characteristics between the two groups. Logistic regression analyses were used to assess the likelihood of having a checkup, receiving influenza vaccine, and experiencing healthcare cost barriers (being unable to see the doctor due to cost) during the past 12 months. Conditional models accounted for the matching.

RESULTS

We included 231 CCS and 692 controls. CCS had lower household income (p < 0.001), lower educational attainment (p = 0.021), more chronic health conditions (p < 0.001), and a higher proportion of being current smokers (p = 0.005) than controls. Both groups had similar rates of having a checkup and influenza vaccine; however, a quarter of CCS experienced healthcare cost barriers compared with 13.9% in controls (p = 0.001; regression findings: adjusted odds ratio (aOR) = 1.72, 95% confidence interval (CI): 1.11-2.65). Compared with the youngest CCS group (18-24 years), CCS ages 25-29 years were five times more likely to experience healthcare cost barriers (aOR = 4.79; 95% CI, 1.39-16.54). Among CCS, current smokers were less likely to have a checkup (aOR = 0.46; 95% CI, 0.23-0.94). Uninsured CCS were less likely to have a checkup (aOR = 0.33; 95% CI, 0.14-0.75) and ∼8 times more likely to experience healthcare cost barriers (aOR = 8.28; 95% CI, 3.45-19.88).

CONCLUSION

CCS being 25-29 years, uninsured, or current smokers encounter inferior outcomes in healthcare utilization and cost barriers. We suggest emphasis on programs on care transition and smoking cessation for CCS.

Changes in prostate cancer survival among insured patients in relation to USPSTF screening recommendations

BACKGROUND

To investigate the effects of the U.S. Preventive Services Task Force's (USPSTF) 2012 recommendation against prostate-specific antigen (PSA)-based screening for prostate cancer on survival disparities based on insurance status. Prior to the USPSTF's 2012 screening recommendation, previous studies found that insured patients with prostate cancer had better outcomes than uninsured patients.

METHODS

Using the SEER 18 database, we examined prostate cancer-specific survival (PCSS) based on diagnostic time period and insurance status. Patients were designated as belonging to the pre-USPSTF era if diagnosed in 2010-2012 or post-USPSTF era if diagnosed in 2014-2016. PCSS was measured with the Kaplan-Meier method, while disparities were measured with the Cox proportional hazards model.

RESULTS

During the pre-USPSTF era, uninsured patients experienced worse PCSS compared to insured patients (adjusted HR 1.256, 95% CI 1.037-1.520, p = 0.020). This survival disparity was no longer observed during the post-USPSTF era as a result of decreased PCSS among insured patients combined with unchanged PCSS among uninsured patients (adjusted HR 0.946, 95% CI 0.642-1.394, p = 0.780).

CONCLUSIONS

Although the underlying reasons are not clear, the USPSTF's 2012 PSA screening recommendation may have hindered insured patients from being regularly screened for prostate cancer and selectively led to worse outcomes for insured patients without affecting the survival of uninsured patients.

Insurance coverage change and survivorship care among young adult survivors of childhood cancer

OBJECTIVE

To (1) characterize change in type of insurance coverage among childhood cancer survivors from diagnosis to survivorship and (2) examine whether insurance change is associated with cancer-related follow-up care utilization.

DATA SOURCES

Participants in this study were derived from the Project Forward study, a population-based, observational study of childhood cancer survivors in Los Angeles County that used California Cancer Registry data to identify participants.

STUDY DESIGN

Multivariable logistic regression models incorporating survey nonresponse weights estimated the change in the marginal predicted probabilities of insurance change and survivorship care, adjusting for demographic, socioeconomic, and clinical covariates and clustering by treating hospital.

DATA COLLECTION/EXTRACTION METHODS

Study participants were diagnosed with cancer who were younger than age 20 years while living in Los Angeles County from 1996 to 2010 and were older than the age 18 years at the time of survey participation, from 2015 to 2017 (N = 1106).

PRINCIPAL FINDINGS

Most participants were 18-26 years of age, male, diagnosed before 2004, Hispanic/Latino race/ethnicity, single, without children, highly educated, not employed full time, and lived with their parents at survey. Almost half (N = 529) of participants experienced insurance change from diagnosis to survivorship. Insurance change was associated with insurance coverage at diagnosis, as those who were uninsured were most likely to experience change and gain coverage during survivorship (by 51 percentage points [ppt], standard error [SE] of 0.05). Survivors who experienced any change had decreased probability of reporting a recent cancer-related follow-up care visit, a disparity that was magnified for those who lost insurance coverage (-5 ppt, SE 0.02 for those who gained coverage; -15 ppt, SE 0.04 for those who lost coverage).

CONCLUSIONS

Insurance coverage change was associated with lower cancer-related follow-up care utilization. Indeed, survivors who experienced any insurance coverage change had decreased probability of having a cancer-related follow-up care visit, and this was magnified for those who lost their insurance coverage.

Estimating cancer treatment intensity from SEER cancer registry data: methods and implications for population-based registry studies of pediatric cancers

OBJECTIVE

The Intensity of Treatment Rating (ITR) Scale condenses treatment and clinical characteristics into a single measure to study treatment effects on downstream health outcomes across cancer types. This rating was originally developed for clinicians to determine from medical charts. However, large studies are often unable to access medical charts for all study participants. We developed and tested a method of estimating treatment intensity (TI) using cancer registry and patient self-reported data.

METHODS

We estimated two versions of TI for a cohort of pediatric cancer survivors-one utilized information solely available from cancer registry variables (TIR) and the other included registry and self-reported information (TIS) from survey participants. In a subset of cases (n = 135) for whom the gold standard TI (TIC) was known, both TIR and TIS were compared to TIC by calculating percent agreement and weighted Cohen's kappa, overall and within cancer subtypes.

RESULTS

In comparison to TIC, 71% of TI scores from both methods were in agreement (k = 0.61 TIR/0.54 TIS). Among subgroups, agreement ranged from lowest (46% TIR/39% TIS) for non-defined tumors (e.g., "Tumor-other"), to highest (94% TIR/94% TIS) for acute lymphoblastic leukemia (ALL).

CONCLUSIONS

We developed a methodology to estimate TI for pediatric cancer research when medical chart review is not possible. High reliability was observed for ALL, the most common pediatric cancer. Additional validation is needed among a larger sample of other cancer subgroups. The ability to estimate TI from cancer registry data would assist with monitoring effects of treatment during survivorship in registry-based epidemiological studies.

Differences in Perceived Waiting Time by Health Insurance Type in the Inpatient Sector: An Analysis of Patients With Breast Cancer in Germany

Although the relationship between health insurance and waiting time has been established in the ambulatory sector in Germany, research in the inpatient sector is limited. This study aims to contribute to previous work through analyzing differences in perceived waiting time by health insurance type during the inpatient stays of patients with breast cancer in Germany. This study utilizes cross-sectional data from 2017 of patients with breast cancer (N = 4626) who underwent primary breast cancer surgery in a certified breast care center in Germany. Results from multilevel logistic regression models indicate a significant effect of health insurance status on perceived waiting time, net of other relevant factors (patient’s sociodemographic background, Union for International Cancer Control stage, grading, self-reported and classified health, type of surgery, and chemotherapy). Patients with statutory insurance were significantly more likely than privately insured patients to report long waiting times for examinations/procedures, discharge, and to speak with the physician. There were no significant differences in waiting time for nursing staff between private and statutory insurance holders. Results align with previous findings in the ambulatory sector and suggest a private health insurance advantage, with private patients receiving priority to some health care services. Disparities in health care accessibility and quality need to continue to be addressed and discussed, as well as the impact of health insurance type on other indicators of health.