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Background: Existing financial hardship screening does not capture the multifaceted and dynamic nature of the problem. The use of existing health system data is a promising way to enable scalable and sustainable financial hardship screening., Methods: We used existing data from 303 adult patients with cancer at the University of Virginia Comprehensive Cancer Center (2016-2018). All received distress screening and had a valid financial assistance screening based solely on household size-adjusted income. We constructed a composite index that integrates multiple existing health system data (Epic, distress screening, and cancer registry) to assess comprehensive financial hardship (e.g., material conditions, psychological responses, and coping behaviors). We examined differences of at-risk patients identified by our composite index and by existing single-dimension criterion. Dynamics of financial hardship over time, by age, and cancer type, were examined by fractional probit models., Results: At-risk patients identified by the composite index were generally younger, better educated, and had a higher annual household income, though they had lower health insurance coverage. Identified periods to intervene for most patients are before formal diagnosis, 2 years, and 6 years after diagnosis. Within 2 years of diagnosis and more than 4 years after diagnosis appear critical for subgroups of patients who may suffer from financial hardship disparities., Conclusion: Existing health system data provides opportunities to systematically measure and track financial hardship in a systematic, scalable and sustainable way. We find that the dimensions of financial hardship can exhibit different patterns over time and across patient subgroups, which can guide targeted interventions. The scalability of the algorithm is limited by existing data availability., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Background: Cancer patients' participation in research trials is essential to improving their care and treatment. In a large sample of adults recently diagnosed with cancer, the aim of the current study is to investigate the relationship between cancer patients' interest in research and the psychological and physical problems they experience resulting from their cancer diagnosis., Method: We analyzed data from 906 cancer patients collected during routine clinical care. Correlational analyses focused on the relationship between patients' psychological and physical problems and their interest in research. Hierarchical binary logistic regression analyses tested whether patients' psychological/physical problems as a block predicted their interest in research, above and beyond their sociodemographic characteristics., Results: Higher levels of patients' anxiety, fear of cancer treatment, difficulty managing emotions, worry, suicidal/homicidal ideation, fatigue, problems related to physical appearance, sleep difficulty, and changes to weight/appetite, were associated with a greater interest in research. Patients' psychological/physical problems, as a block, incrementally predicted their interest in research (Δχ 2  = 24.34, df = 14, p = .04, Δr 2 =0.05), though none of the individual psychological/physical problems were found to be significant predictors. A higher level of education was significantly positively associated with an increased likelihood of being interested in research (OR = 1.26, 95%CI = 1.09, 1.46, p = .001)., Conclusion: Cancer patients' problems stemming from their diagnosis can be important factors in their decision to participate in research. Depending on the needs of the trial in question, researchers may want to account for patients' level of symptom burden in deciding who to approach for enrollment in a research trial., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

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., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

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.

Objective: A common method of distress monitoring in cancer patients relies on static and retrospective data collected in-person at the time of a health care provider appointment. Relatively little work has examined the potential usefulness of mobile distress monitoring using cancer patients' smartphones. The current study deployed longitudinal distress monitoring using secure text messaging., Methods: In an observational study, a total of 52 cancer patients receiving active cancer treatment (M age  = 58, 62% female) received a text message once a week for 4 weeks. Text messages contained a secure link to complete online the Patient Health Questionnaire-4 (PHQ-4), a commonly used distress screener., Results: Cancer patients completed a distress screener 75% of the time they received a text message. On average, it took less than a minute to complete each mobile distress screener. Geolocation data indicated that cancer patients completed distress screeners across a range of locations. Analyses of model fit of distress scores indicated significant heterogeneity in variability of distress scores over time and across cancer patients (AIC = 630.5). Quantitative feedback from cancer patients at the end of the study indicated high ease of use, ease of learning, and satisfaction of completing mobile distress screeners., Conclusions: These findings support the use of secure text messaging to monitor longitudinal, out of clinic, distress in cancer patients. Findings also highlight the importance of mobile-based approaches to distress screening in order to maximize opportunities to intervene., (© 2019 John Wiley & Sons, Ltd.)