National payment and privacy policies instituted during the COVID-19 pandemic have accelerated the incorporation of telemedicine into routine radiation oncology practice for many institutions. Although telemedicine has the potential to revolutionize radiation oncology, it is unclear what role it should play moving forward, especially once these temporary policies expire and the risk of COVID-19 transmission falls. Existing literature suggests that telemedicine broadly improves access, saves time and money, and is well regarded by patients and providers. These benefits must be counterbalanced by the technical and administrative burden posed by new technology and the physical examination restrictions posed by the physically separated interaction. We describe a model for a hypothetical "Virtual Radiation Oncology Clinic" workflow that would minimize the number of visits patients must make to a physical radiation oncology facility. We also examine qualitative clinical, operational, and economic implications of shifting toward a remote practice. Now that the technology and pathways to virtual care have been developed, they are likely here to stay in some capacity. It is crucial that we generate and rely on evidence to inform policy and to determine how to best incorporate telemedicine to benefit patients and advance clinical practice.
Cancer treatment decisions are complex and may be challenging for patients, as multiple treatment options can often be reasonably considered. As a result, decisional support tools have been developed to assist patients in the decision-making process. A commonly used intervention to facilitate shared decision-making is a decision aid, which provides evidence-based outcomes information and guides patients towards choosing the treatment option that best aligns with their preferences and values. To ensure high quality, systematic frameworks and standards have been proposed for the development of an optimal aid for decision making. Studies have examined the impact of these tools on facilitating treatment decisions and improving decision-related outcomes. In radiation oncology, randomized controlled trials have demonstrated that decision aids have the potential to improve patient outcomes, including increased knowledge about treatment options and decreased decisional conflict with decision-making. This article provides an overview of the shared-decision making process and summarizes the development, validation, and implementation of decision aids as patient educational tools in radiation oncology. Finally, this article reviews the findings from decision aid studies in radiation oncology and offers various strategies to effectively implement shared decision-making into clinical practice.
PurposeDespite increasing use, proton therapy (PT) remains a relatively limited resource. The purpose of this study was to assess clinical and demographic differences in PT use for prostate cancer compared to intensity modulated radiation therapy (IMRT) at a single institution.Methods and materialsAll patients with low- and intermediate-risk prostate cancer (N = 633) who underwent definitive radiation therapy between 2010 and 2015 were divided into PT (n = 508) and IMRT (n = 125) comparison groups and compared using χ2 and independent sample t tests. Univariable and multivariable logistic regression analyses were conducted to assess the associations between PT use and demographic, clinical, and treatment characteristics.ResultsThe PT and IMRT cohorts varied by age, race, poverty, distance, treatment year, and treating physician. Patients who underwent IMRT were more likely to be older (mean age, 66 vs. 68 years), black (51% vs. 75%), and living in poverty or close to the facility (mean distance between residence and facility, 90 vs. 21 miles; P < .05). Prostate-specific antigen, prostate volume, and International Index of Erectile Function were significantly higher in the IMRT cohort (P < .05), but insurance type, risk group, tumor stage, Gleason score, and patient-reported urinary and bowel scores did not differ significantly (P > .05). Patients who underwent PT were more likely to receive hypofractionated therapy and less likely to receive androgen deprivation therapy (P < .01). On multivariable analysis, black (odds ratio [OR], 0.29; 95% confidence interval [CI], 0.15-0.57) and other race (OR, 0.42; 95% CI, 0.20-0.90); distance (OR, 1.14; 95% CI, 1.06-1.24); treatment years 2011 (OR, 4.87; 95% CI, 2.23-10.6), 2012 (OR, 8.27; 95% CI, 3.43-19.9), and 2014 (OR, 4.44; 95% CI, 1.94-10.2) relative to 2010; and a single treating physician (OR, 0.38; 95% CI, 0.18-0.81) relative to the reference physician with the highest rate of use were associated with PT use, whereas clinical factors such as prostate-specific antigen, prostate volume, International Index of Erectile Function, and androgen deprivation therapy were not.ConclusionSociodemographic disparities exist in PT use for prostate cancer at an urban academic institution. Further investigation of potential barriers to access is warranted to ensure equitable distribution across all demographic groups.
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