Examination of a distress screening intervention for rural cancer survivors reveals low uptake of psychosocial referrals.

PURPOSE: To determine the impact of a telemedicine-delivered intervention aimed at identifying unmet needs and cancer-related distress (CRD) following the end of active treatment on supportive care referral patterns. METHODS: We used a quasi-experimental design to compare supportive care referral patterns between a group of rural cancer survivors receiving the intervention and a control group (N = 60). We evaluated the impact of the intervention on the number and type of referrals offered and whether or not the participant accepted the referral. CRD was measured using a modified version of the National Comprehensive Cancer Network Distress Thermometer and Problem List. RESULTS: Overall, 30% of participants received a referral for further post-treatment supportive care. Supporting the benefits of the intervention, the odds of being offered a referral were 13 times higher for those who received the intervention than those in the control group. However, even among the intervention group, only 28.6% of participants who were offered a referral for further psychosocial care accepted. CONCLUSIONS: A nursing telemedicine visit was successful in identifying areas of high distress and increasing referrals. However, referral uptake was low, particularly for psychosocial support. Distance to care and stigma associated with seeking psychosocial care may be factors. Further study to improve referral uptake is warranted. IMPLICATIONS FOR CANCER SURVIVORS: Screening for CRD may be inadequate for cancer survivors unless patients can be successfully referred to further supportive care. Strategies to improve uptake of psychosocial referrals is of high importance for rural survivors, who are at higher risk of CRD.

Beyond broadband: digital inclusion as a driver of inequities in access to rural cancer care.

PURPOSE: Rural cancer survivors have worse quality of life than their urban counterparts. Telemedicine is a potential solution to connecting rural residents with specialized cancer providers during the survivorship period, but limitations in broadband may stifle the impact. Using data from a feasibility study evaluating a telemedicine intervention aimed at connecting rural Virginia cancer survivors with their care team located at a cancer center associated with an academic medical center, we sought to evaluate the ability of rural survivors to access the intervention and suggest strategies for improving access to rural cancer survivorship care. METHODS: We used a descriptive design with geospatial and quantitative methods to understand broadband access, driving time to a satellite telemedicine site, and ability to utilize a borrowed cellular-enabled tablet to participate in the intervention for cancer survivors living in Central Virginia. RESULTS: Our study participants resided in census tracts where an average of 58% of households have adequate broadband access necessary to support a telemedicine videoconferencing intervention. Average driving time to the nearest telemedicine site was 29.6 min. Those who utilized the borrowed tablet experienced considerable difficulty with utilizing the technology. CONCLUSIONS: Rural cancer populations do not have equal access to a cancer survivorship telemedicine intervention. IMPLICATIONS FOR CANCER SURVIVORS: Telemedicine interventions aimed at connecting cancer survivors with their academic medical center-based cancer providers may be ineffective if survivors do not have access to either fixed broadband or a satellite clinic. Future research needs to evaluate other sites from which rural survivors can connect, such as rural public libraries.

Impact of Urban Neighborhood Disadvantage on Late Stage Breast Cancer Diagnosis in Virginia.

Research suggests that residents of inner-city urban neighborhoods have higher rates of late stage cancer diagnosis. Identifying urban neighborhoods with high rates of both concentrated disadvantage and late stage cancer diagnosis may assist health care providers to target screening interventions to reduce disparities. The purposes of this study were to (1) create an index to evaluate concentrated disadvantage (CD) using non-racial measures of poverty, (2) determine the impact of neighborhood CD on late stage breast cancer diagnosis in US cities, and (3) to understand the role of obesity on this relationship. We used census block group- (CBG) level poverty indicators from five Virginia cities to develop the index. Breast cancer cases of women aged 18-65 who lived in the five cities were identified from the 2000-2012 Virginia Cancer Registry. A logistic regression model with random intercept was used to evaluate the impact of disadvantage on late stage breast cancer diagnosis. CBG-level maps were developed to geographically identify neighborhoods with both high rates of CD and late breast cancer staging. Over 900 CBGs and 6000 breast cases were included. Global fit of the concentrated disadvantage model was acceptable. The effect of disadvantage on late stage was significant (OR = 1.0083, p = 0.032). Inner-city poverty impacts risk of late stage breast cancer diagnosis. Area-level obesity is highly correlated with neighborhood poverty (ρ = 0.74, p < 0.0001) but the mediating direct and indirect effects are non-significant. Intervening in these high poverty neighborhoods may help combat disparities in late stage diagnosis for urban poor and for minorities living in these underserved neighborhoods, but more study is needed to understanding the complex relationship between concentrated neighborhood poverty, obesity, and late stage diagnosis.