OBJECTIVE: Adolescents and young adults (AYAs) diagnosed with cancer between 15 and 39 years of age often report need for greater amounts of cancer-related information and perceive that cancer has had a negative impact on control over their life. We examined whether unmet information need and perceived control over life are associated with health-related quality of life (HRQOL). METHODS: We examined data from 484 AYA cancer survivors recruited from population-based cancer registries in 2007-2008. Participants completed surveys a median of 11 months after diagnosis. Multivariable linear regression analyses estimated associations of unmet cancer-related information needs and impact of cancer on control over life on HRQOL (SF-12). RESULTS: Two-thirds of AYAs reported an intermediate or high level of unmet information need, and half (47%) reported a negative impact of cancer on control. Greater unmet information need was associated with lower overall mental and physical HRQOL and lower levels of all HRQOL subscales except vitality. A negative impact on control over life was associated with lower overall mental HRQOL as well as lower HRQOL across all subscales except general health perceptions (all p <0.05). In multivariable analyses, perceived control and unmet information need were independently associated with HRQOL (p-values for interaction >0.1). CONCLUSIONS: Adolescent and young adult patients with cancer have high levels of unmet cancer-related information needs and perceived negative impact of cancer on control over life; both were independently associated with lower HRQOL. Addressing unmet information needs among AYA cancer survivors and finding ways to increase their sense of control may help improve HRQOL in this understudied population.

BACKGROUND: Young adults have historically been the least likely to have health insurance in the United States. Previous studies of survivors of childhood cancer found lower rates of insurance and less access to medical care compared with siblings; however, to the authors knowledge, no studies to date have examined continuity of insurance after a cancer diagnosis in adolescents and young adults (AYAs). METHODS: Using the AYA Health Outcomes and Patient Experience study, a cohort of 465 individuals aged 15 to 39 years from participating Surveillance, Epidemiology, and End Results registries, we evaluated changes in and sponsors of health insurance coverage after diagnosis, coverage of physician-recommended tests, and factors associated with lack of insurance after a cancer diagnosis using chi-square tests and multivariable logistic regression. RESULTS: Greater than 25% of AYA survivors of cancer (118 survivors) experienced some period without insurance up to 35 months after diagnosis. Insurance rates were high in the initial year after diagnosis (6 months-14 months; 93.3%) but decreased substantially at follow-up (15 months-35 months; 85.2%). The most common sponsor of health insurance was employer/school coverage (43.7%). Multivariable analysis indicated that older survivors (those aged 25-39 years vs 15-19 years; odds ratio, 3.35 [P < .01]) and those with less education (high school or less vs college graduate; odds ratio, 2.80 [P < .01]) were more likely to experience a period without insurance after diagnosis. Furthermore, > 20% of survivors indicated there were physician-recommended tests/treatments that were not covered by insurance, but > 80% received them regardless of coverage. CONCLUSIONS: Insurance rates appear to decrease with time since diagnosis in AYA survivors of cancer. Future studies should examine how new policies under the Patient Protection and Affordable Care Act extend access and insurance coverage beyond initial treatment.

Purpose

To investigate associations of sociodemographic factors-race/ethnicity, neighborhood socioeconomic status (SES), and health insurance-with survival for adolescents and young adults (AYAs) with invasive cancer.

Methods

Data on 80,855 AYAs with invasive cancer diagnosed in California 2001-2011 were obtained from the California Cancer Registry. We used multivariable Cox proportional hazards regression to estimate overall survival.

Results

Associations of public or no insurance with greater risk of death were observed for 11 of 12 AYA cancers examined. Compared to Whites, Blacks experienced greater risk of death, regardless of age or insurance, while greater risk of death among Hispanics and Asians was more apparent for younger AYAs and for those with private/military insurance. More pronounced neighborhood SES disparities in survival were observed among AYAs with private/military insurance, especially among younger AYAs.

Conclusions

Lacking or having public insurance was consistently associated with shorter survival, while disparities according to race/ethnicity and neighborhood SES were greater among AYAs with private/military insurance. While health insurance coverage associates with survival, remaining racial/ethnic and socioeconomic disparities among AYAs with cancer suggest additional social factors also need consideration in intervention and policy development.

Purpose

Asians report worse experiences with care than Whites. This could be due to true differences in care received, expectations about care, or survey response styles. We examined responses to the Consumer Assessment of Healthcare Providers and Systems (CAHPS^®) Medicare survey items by Whites and Asians, controlling for underlying level on the CAHPS constructs.

Methods

We conducted multiple group analyses to evaluate measurement equivalence of CAHPS Medicare survey data between White and Asian Medicare beneficiaries for CAHPS reporting composites (communication with personal doctor, access to care, plan customer service) and global ratings of care using pooled data from 2007 to 2011. Responses were obtained from 1,326,410 non-Hispanic Whites and 40,672 non-Hispanic Asians (hereafter referred to as Whites and Asians). The median age for Whites was 70, with 24 % 80 or older, and 70 for Asians, with 23 % 80 or older. Fifty-eight percent of Whites and 56 % of Asians were female.

Results

A model without group-specific estimates fit the data as well as a model that included 12 group-specific estimates (7 factor loadings, 3 measured variable errors, and 2 item intercepts): Comparative Fit Index = 0.947 and 0.948; root-mean-square error of approximation = 0.052 and 0.052, respectively). Differences in latent CAHPS score means between Whites and Hispanics estimated from the two models were similar, differing by 0.053 SD or less.

Conclusions

This study provides support for measurement equivalence of the CAHPS Medicare survey composites (communication, access, customer service) and global ratings between White and Asian respondents, supporting comparisons of care experiences between the two groups.

259 Background: Asians report worse experiences with care than Whites. This could be due to true differences in care received, expectations about care, or survey response styles. To examine measurement equivalence of the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Medicare survey items between Whites and Asians. Methods: We conducted multiple group confirmatory factor analyses to evaluate measurement equivalence of CAHPS Medicare survey data between White and Asian Medicare beneficiaries for three CAHPS reporting composites (communication with personal doctor, access to care, plan customer service) and global ratings of care using pooled CAHPS data from 2007-2011. Responses were obtained from non-Hispanic whites (n = 1,326,410) and Asians (n = 40,672). The median age for whites was 70, with 24% 80 or older, and 70 for Asians, with 23% 80 or older. Fifty-eight percent of the whites and 56% of the Asians were female. Results: A model without group-specific estimates fit the data as well as a model that included 12 group-specific estimates suggested by Lagrange multiplier tests (Comparative Fit Index = 0.922, Root Mean Square Error of Approximation = 0.064). Three of the 12 group-specific estimates consisted of 7 factor loadings, 3 measured variable errors, and 2 item intercepts. Six of the factor loadings were larger for Asians than for whites. Conclusions: This study provides general support for measurement equivalence in response to the CAHPS Medicare survey composites (communication, access, customer service) and global ratings between White and Asian respondents, supporting comparison of care experiences for the two groups.

Purpose: Adolescents and young adults (AYAs) aged 15-39 at diagnosis have very low cancer clinical trial accrual rates. To date, no studies have examined attitudes toward clinical trial participation in this age range to determine if certain individuals are less likely to enroll if offered participation. The current study assessed attitudes toward participation using the Cancer Treatment Subscale of the Attitudes toward Cancer Trials Scales. Methods: Data were collected from a sample of leukemia and lymphoma survivors (n=99) and a healthy college student sample (n=397). Following a principal components analysis, two subscales-Personal Barriers/Safety and Personal Benefits-were retained for analysis. Results: In the cancer survivor group, only 14 (13.3%) reported being offered participation in a cancer clinical trial, and only 8 of those 14 (7.6% of survivors) participated. Responses from leukemia and lymphoma survivors revealed no significant relationships between age, gender, race/ethnicity, clinical trial participation, insurance status, or social class with Personal Benefits or Personal Barriers/Safety. Healthy college females had more negative Personal Barriers/Safety attitudes compared to males after adjusting for race/ethnicity and social class (p=0.01), but no associations were present when examining Personal Benefits as an outcome. Conclusion: This preliminary investigation suggests that drivers of attitudes toward clinical trial participation in AYAs are not well understood and may impact cancer trial participation. Future work should focus on defining attitudes toward cancer clinical trials in the AYA population and developing interventions to increase awareness, knowledge, and positive attitudes toward participating in cancer research.

Purpose

To investigate associations of sociodemographic factors-race/ethnicity, neighborhood socioeconomic status (SES), and health insurance-with survival for adolescents and young adults (AYAs) with invasive cancer.

Methods

Data on 80,855 AYAs with invasive cancer diagnosed in California 2001-2011 were obtained from the California Cancer Registry. We used multivariable Cox proportional hazards regression to estimate overall survival.

Results

Associations of public or no insurance with greater risk of death were observed for 11 of 12 AYA cancers examined. Compared to Whites, Blacks experienced greater risk of death, regardless of age or insurance, while greater risk of death among Hispanics and Asians was more apparent for younger AYAs and for those with private/military insurance. More pronounced neighborhood SES disparities in survival were observed among AYAs with private/military insurance, especially among younger AYAs.

Conclusions

Lacking or having public insurance was consistently associated with shorter survival, while disparities according to race/ethnicity and neighborhood SES were greater among AYAs with private/military insurance. While health insurance coverage associates with survival, remaining racial/ethnic and socioeconomic disparities among AYAs with cancer suggest additional social factors also need consideration in intervention and policy development.

Shorter survival has been associated with low socioeconomic status (SES) among elderly non-Hodgkin's lymphoma (NHL) patients; however it remains unknown whether the same relationship holds for younger patients. We explored the California Cancer Registry (CCR), to investigate this relationship in adolescent and young adult (AYA) NHL patients diagnosed from 1996 to 2005. A case-only survival analysis was conducted to examine demographic and clinical variables hypothesized to be related to survival. Included in the final analysis were 3,489 incident NHL cases. In the multivariate analyses, all-cause mortality (ACM) was higher in individuals who had later stage at diagnosis (P < .05) or did not receive first-course chemotherapy (P < .05). There was also a significant gradient decrease in survival, with higher ACM at each decreasing quintile of SES (P < .001). Overall results were similar for lymphoma-specific mortality. In the race/ethnicity stratified analyses, only non-Hispanic Whites (NHWs) had a significant SES-ACM trend (P < .001). Reduced overall and lymphoma-specific survival was associated with lower SES in AYAs with NHL, although a significant trend was only observed for NHWs.

In California, leukemia represents ~35, 5, and 2% of all cancers in children (aged 0–14), adolescents (15–29), and young adults (30–39), respectively. Poorer survival has been previously noted in individuals residing in lower socioeconomic status (SES) neighborhoods. We explored the relationship between SES and survival as modified by age and race/ethnicity using data from the California Cancer Registry. A total of 7,688 incident cases of first primary leukemia diagnosed during 1996–2005 in individuals aged 0–39 at diagnosis were included in this study. Univariate analyses of overall survival were conducted using the Kaplan–Meier method and multivariate survival analyses were performed using Cox proportional hazard regression to estimate hazard ratios. Multivariate analyses showed that overall survival and lymphoid cancer–specific survival was reduced in those individuals aged 15–39 compared to children aged 0–14. Although shorter survival was observed in non-whites, an association between lower-SES neighborhood and shorter survival was significant only for non-Hispanic whites (NHWs) (p value for trend <0.05). Lack of insurance was significantly associated with shorter survival for all race/ethnicities examined except Asian/Pacific Islanders (p value < 0.05). Lower survival in individuals diagnosed with leukemia was observed in adolescents and young adults compared to children and in non-whites compared to NHWs. Further, the independent effects on survival of both low SES and lack of insurance at diagnosis persisted after adjustment for demographic variables and varied across race/ethnicities.

Adolescent and young adult cancer survivors face unique challenges not systematically addressed by cancer clinicians. Four focus groups and two individual interviews were conducted with 19 survivors to profile experiences and identify key concerns for future interventions. The resultant themes reflect cancer care continuum challenges (such as delays in diagnosis, problems with adherence), psychosocial concerns (such as infertility and reproductive concerns, changing social relationships, financial burden), and the paradox of being diagnosed with cancer as a young adult. Future intervention development for adolescent and young adult survivors should involve patient voices at each stage of the research process.