Characterizing Twitter Influencers in Radiation Oncology.

PurposeBoth the superstructures of virtual discourse in radiation oncology and the entities occupying influential positions in the social media landscape of radiation oncology remain poorly characterized.Methods and materialsNodeXL Pro was used to prospectively sample all tweets with the hashtag #radonc every 8 to 10 days during the course of 1 year (December 4, 2018, to November 29, 2019). Twitter handles were grouped into conversational clusters using the Clauset-Newman-Moore community detection algorithm. For each sample period, the top 10 #radonc Twitter influencers, defined using betweenness centrality, were categorized. Influencers were scored in each sample period according to their top 10 influence rank and summarized with descriptive statistics. Linear regression assessed for characteristics that predicted higher influence scores among top influencers.ResultsIn the study, 684,000 tweets were sampled over 38 periods. #radonc tweets took on the crowd superstructure of a hub-and-spoke broadcast network formed when prominent individuals are widely repeated by many audience members. Professional societies were the most influential category of Twitter handles with an average influence score of 7.63 out of 10 (standard deviation [SD] = 1.94). When industry handles were present among top 10 influencers, they exhibited the second highest average influence scores (6.75, SD = 1.06), followed by individuals with scores of 5.28 (SD = 0.43). The categories of influencers were stable during the course of 1 year. The role of attending physician, radiation oncology specialty, male sex, academic practice, and US-based handles in North America were predictors of higher influence score.ConclusionsTwitter influencers in radiation oncology represent a diverse group of people and organizations, but male academic radiation oncologists based in North America occupy particularly influential positions in virtual communities broadly characterized as "hub and spoke" broadcast networks. Periodic network-based analyses of the social media discourse in radiation oncology are warranted to maintain an awareness of the handles that are influencing discussions on Twitter and ensure that social media utilization continues to contribute to the field of radiation oncology in a meaningful way

Shared burden: the association between cancer diagnosis, financial toxicity, and healthcare cost-related coping mechanisms by family members of non-elderly patients in the USA

Abstract Purpose There has been little research on the healthcare cost-related coping mechanisms of families of patients with cancer. Therefore, we assessed the association between a cancer diagnosis and the healthcare cost-related coping mechanisms of participant family members through their decision to forego or delay seeking medical care, one of the manifestations of financial toxicity. Methods Using data from the National Health Interview Survey (NHIS) between 2000 and 2018, sample weight-adjusted prevalence was calculated and multivariable logistic regressions defined adjusted odds ratios (aORs) for participant family members who needed but did not get medical care or who delayed seeking medical care due to cost in the past 12 months, adjusting for relevant sociodemographic covariates, including participant history of cancer (yes vs. no) and participant age (18–45 vs. 46–64 years old). The analysis of family members foregoing or delaying medical care was repeated using a cancer diagnosis * age interaction term. Results Participants with cancer were more likely than those without a history of cancer to report family members delaying (19.63% vs. 16.31%, P < 0.001) or foregoing (14.53% vs. 12.35%, P = 0.001) medical care. Participants with cancer in the 18 to 45 years old age range were more likely to report family members delaying (pinteraction = 0.028) or foregoing (pinteraction < 0.001) medical care. Other factors associated with cost-related coping mechanisms undertaken by the participants’ family members included female sex, non-married status, poorer health status, lack of health insurance coverage, and lower household income. Conclusion A cancer diagnosis may be associated with familial healthcare cost-related coping mechanisms, one of the manifestations of financial toxicity. This is seen through delayed/omitted medical care of family members of people with a history of cancer, an association that may be stronger among young adult cancer survivors. These findings underscore the need to further explore how financial toxicity associated with a cancer diagnosis can affect patients’ family members and to design interventions to mitigate healthcare cost-related coping mechanisms

Shorter Radiation Regimens and Treatment Noncompletion Among Patients With Breast and Prostate Cancer in the United States: An Analysis of Racial Disparities in Access and Quality

Compared with conventional external-beam radiation therapy (cEBRT) for patients with breast cancer (BC) and prostate cancer (PC), shorter radiation regimens may be associated with lower treatment noncompletion rates. We assess disparities in receipt of shorter radiation regimens and treatment noncompletion for BC and PC. The 2004-2017 National Cancer Database was queried for adjuvant cEBRT or hypofractionated EBRT (hEBRT) for nonmetastatic BC; and definitive cEBRT, moderate hypofractionation (mEBRT), or stereotactic body radiotherapy (SBRT) for localized PC. Multivariable logistic regression identified factors associated with treatment noncompletion and receipt of shorter regimens. We identified 170,386 men with PC (median age [interquartile range], 70 [64-75] years; Black, 17.5%; White, 82.5%) and 306,846 women with BC (61 [52-69] years; Black, 12.3%; White, 87.7%). Among patients who received cEBRT for PC, Black men had higher treatment noncompletion rates compared with White (14.1% 13.0%; odds ratio [95% CI] 1.07 [1.03 to 1.12]; < .001). In contrast, treatment noncompletion was not disparate with SBRT (Black 1.6% White 1.3%; 1.20 [0.72 to 2.00], = .49) or mEBRT (Black 9.0% White 7.1%; 1.05 [0.72 to 1.54], = .79). From 2004 to 2017, SBRT (0.07% to 11.8%; 1.32 [1.31 to 1.33]) and mEBRT (0.35% to 9.1%; 1.27 [1.25 to 1.28]) increased (both < .001); however, Black men were consistently less likely to receive SBRT (7.4% White, 8.3%; 0.84 [0.79 to 0.89], < .001). Among women with BC, there were no racial differences in treatment noncompletion; however, hEBRT was associated with lower treatment noncompletion rates (1.0% cEBRT 2.3%; 0.39 [0.35 to 0.44], < .001). Although hEBRT for BC increased (0.8% to 35.6%) between 2004 and 2017, Black women were less likely to receive hEBRT (10.4% 15.3%; 0.78 [0.75 to 0.81], < .001). Black patients were consistently less likely to receive hypofractionated radiation for PC or BC, despite evidence suggesting that shorter regimens may lower rates of treatment noncompletion with similar oncologic outcomes