Radiation Oncology Patients Research Articles

The impact of socioeconomic status on overall survival in patients at a radiation oncology center: A retrospective study.

147 Background: There are few reports examining the impact of socioeconomic status (SES), as indicated by the Area Deprivation Index (ADI), on overall survival (OS) in radiation oncology patients, making this an important area of investigation. This study aims to investigate the influence of ADI on OS in radiation oncology patients, while controlling for stage and other relevant variables. Methods: This retrospective study analyzed data from radiation oncology patients treated at a large multi-site single-institution center from October 2006 to January 2024. Demographic and treatment information, including age, gender, race, insurance status, comorbidity index (CCI), mental health disorders (MHD), treatment intent, cancer type, and stage, were collected. The ADI was used to measure SES and was gathered from the Neighborhood Atlas. Kaplan-Meier curves were generated for all patients, with separate curves for different cancer types. The impact of demographic, clinical, and socioeconomic factors on OS was assessed using a Cox proportional hazards multivariable (MVA) logistic regression analysis. The model was stratified by treatment intent, cancer type, stage, insurance status, and CCI. Results: In this comprehensive analysis of 7343 patients, the median follow-up was 12.00 months (IQR: 1.8–36.82). Most patients were breast cancer (30.2%), over 65 years old (60.5%), and had an ADI below the mean (55.5%), indicating lower socioeconomic disadvantage. Kaplan-Meier analysis showed that 5-year OS rates were significantly lower for the fourth quartile ADI group (85.1%) compared to the first quartile ADI group (94.0%) (p<0.001). Among different cancer types, significant differences in OS were observed for breast cancer (p=0.002) and miscellaneous (uncategorized) cancers (p=0.005), with lung cancer showing a trend towards significance (p=0.053). The MVA revealed that patients in both the third quartile (hazard ratio (HR)=1.343, 95% CI: 1.029–1.752, p=0.030) and fourth quartile (HR=1.403, 95% CI: 1.075–1.829, p=0.013) of ADI had significantly higher likelihood of mortality compared to those in the first ADI quartile. Conclusions: SES, as measured by ADI, significantly impacts OS in radiation oncology patients. Poorer patients, indicated by higher ADI, exhibited worse survival outcomes despite controlling for cancer type, stage, treatment intent, CCI, MHD, and insurance status. These findings underscore the need for targeted interventions to address socioeconomic disparities in cancer care to improve survival outcomes for disadvantaged populations.

1002: Depression in Radiation Oncology patients: an underestimated diagnosis?

1002: Depression in Radiation Oncology patients: an underestimated diagnosis?

Management of Continuous Glucose Monitors in Radiation Oncology Patients

AbstractContinuous glucose monitors (CGMs) are an increasingly prevalent electronic medical device used by patients with diabetes, offering several advantages over “finger sticks.” There is a resulting rise in patients with CGMs seen in radiation oncology clinics. Manufacturers specify that CGMs should not be exposed to radiation (both diagnostic and therapeutic) due to the risk of device damage, creating challenges for patients and providers. We present a workflow for the management of CGMs in radiation oncology patients, beginning with systematic screening by providers and staff. We propose options for CGM management together with the device prescriber, including removal of the CGM or keeping it in place with periodic finger sticks to confirm the accuracy and offer guidance to radiation oncology providers and staff.

International Federation of Gynecology and Obstetrics Endometrial 2023 Is Better For Radiation Oncology Patients

The International Federation of Gynecology and Obstetrics (FIGO) 2023 staging system for endometrial cancer has marked changes from the previous staging system instituted 14 years prior in 2009. The new staging system includes nonanatomic factors for the first time (lymphovascular space invasion and histology) and molecular classification, which impacts the stage in early-stage disease (IAmPOLEmut and IICmp53abn). The purpose of these changes was to provide (1) high accuracy in the predictive prognosis for patients and (2) identification of distinct treatment-relevant subgroups. Our understanding of the biology and natural history of endometrial cancer has undergone a radical transformation since the Cancer Genome Atlas results in 2013. The 2023 FIGO staging system harmonizes and integrates old and new knowledge on anatomic, histopathologic, and molecular features. Moreover, FIGO 2023 has distinct substages that improve adjuvant treatment decision making. Although the practicality of the new staging system has been debated, we postulate that FIGO 2023 is more useful for radiation oncologists aiming to provide personalized care recommendations. FIGO 2023 requires a change in our perception of a staging system, from a traditional anatomic borders-based system to a staging system integrating anatomy and tumor biology as pivotal prognostic factors for patients while providing important information for treatment decision making.

Association of Patient Portal Messaging with Survival Among Radiation Oncology Patients

The shift to electronic health records has led to both patient portal messaging and large amounts of digital, real-world data for research. The objective of this study was to examine the association between portal messaging and survival among radiation oncology patients, using real-world data. This retrospective cohort study included patients at least 21 years old and seen by radiation oncology providers between January 14, 2014, and April 23, 2023, at the University of California, San Francisco. We developed Cox proportional hazards models for the outcome of death and examined factors associated with portal messaging using logistic regression models. Among 25,367 patients, the median age was 64 (interquartile range [IR], 54-72), 13,175 (52%) were White, and 14,389 (57%) were male. Overall, as the first message in a thread, 8986 (35%) patients sent messages to radiation oncology providers, and 4218 (17%) patients were sent messages from radiation oncology providers. Patients with head and neck or genitourinary malignancies were more likely than those with other diagnoses to send portal messages to and be sent portal messages from radiation oncology providers. Both sending portal messages to radiation oncology providers (hazard ratio [HR], 0.90; 95% confidence interval [CI], 0.84-0.96; P = .001) and being sent messages from radiation oncology providers (HR, 0.77; CI, 0.70-0.84; P < .001) as the first message in a thread were associated with patient survival after adjusting for socioeconomic, disease, and treatment characteristics. There were disparities among patients sending portal messages to radiation oncology providers, including for Black versus White patients (odds ratio [OR], 0.60; CI, 0.51-0.69; P < .001) and for Medicaid versus Medicare patients (OR, 0.70; CI, 0.62-0.79; P < .001). There were also disparities among patients being sent portal messages by radiation oncology providers, including for Black versus White patients (OR, 0.77; CI, 0.64-0.91; P = .003), for Medicaid versus Medicare patients (OR, 0.76; CI, 0.65-0.89; P < .001), and for patients with female versus male providers (OR, 1.47; CI 1.34-1.62; P < .001). Sending portal messages to and being sent portal messages from radiation oncology providers were associated with better survival. Future studies should elucidate how best to support patient and provider engagement.

SARS-CoV-2 vaccination willingness and humoral vaccination response in radiation oncology patients

BackgroundSARS-CoV-2 infection has been and, in some parts, still is a threat to oncologic patients, making it crucial to understand perception of vaccination and immunologic responses in this vulnerable patient segment. SARS-CoV-2 vaccines in relation to malignant disease characteristics and therapies have so far not been studied consecutively in larger oncologic patient populations. This study captures SARS-CoV-2 vaccination willingness and humoral immune response in a large consecutive oncologic patient collective at the beginning of 2021. Methods1142 patients were consecutively recruited over 5.5 months at a tertiary department for radiation oncology and were assessed for vaccination willingness via a standardized interview. In already vaccinated patients total SARS-CoV-2 S antibody titres against the spike protein (Anti-SARS-CoV-2 S) and were evaluated 35 days or later after the first dose of SARS-CoV-2 vaccine. ResultsVaccination willingness was high with a rate of 90 %. The most frequent reasons for rejection were: undecided/potential vaccination after therapy, distrust in the vaccine and fear of interaction with comorbidities. Factors associated with lower vaccination willingness were: worse general condition, lower age and female sex. 80 % of the participants had been previously vaccinated, 8 % reported previous infection and 16 % received vaccination during antineoplastic therapy. In 97.5 % of the vaccinated patients Anti-SARS-CoV-2 S was detected. In a univariable analysis parameters associated with non-conversion were: lower performance status, spread to the local lymphatics (N + ), hematologic disease and diffuse metastases. All patients with oligometastatic disease achieved positive Anti-SARS-CoV-2 S titres. For patients with two vaccinations several risk factors were identified, that were associated with low antibody concentrations. ConclusionsSARS-CoV-2 vaccination willingness among oncologic patients was high in the first months after its availability, and most patients had already received one or two doses. Over 97 % of vaccinated patients had measurable anti-SARS-CoV-2 S titres. Our data supports early identification of low humoral responders after vaccination and could facilitate the design of future oncologic vaccine trials (clinicaltrials.gov Identifier: NCT04918888).

Abstract A098: Preliminary results of a self-reported financial toxicity survey study among rural cancer patients treated with radiotherapy

Abstract Purpose/objectives: Direct and indirect expenses associated with cancer treatment can lead to finanical toxicity (FT), which is associated with reduced compliance and worse outcomes. Little is known regarding the FT experienced by cancer patients in rural areas, where added barriers impair timely accural and completion of survey data. To increase our understanding of FT experiencd by a rural population receiving radiation therapy, we piloted a validated survey of financial toxicity and report of the feasibility of recruitment, retention, and data collection. Materials/Methods: Instituitonal approval was obtained to propsectively survey rural Northern New England radiation oncology patients served at the outreach clinic in St. Johnsbury, VT ssociated with a teritiary academic medialc center. Baseline survey was provided at time of simulation with weekly follow-up surveys provided during on-treatment visits and at regular follow-up visits up to 6 months post-completion of therapy. At baseline, respondents reported on demographics (including sex, race, education, language, insurance, employment), weekly income, expenses, travel distance, the validated COmprehensive score for financial toxicity (COST), perspectives regarding providers' understanding and empathy of finances, and summary measure of meaningful sum of weekly money to improve their financial sitution. A modified version of this survey was provided to partcipants at subsequent visits. Results: 26 participants signed consent from 09/2022 to 01/2023 with ongoing weekly survey data collection. At baseline, patients were largely elderly (mean 68 years), mostly male (25 of 26), and white (24 of 26). Most were lower socioeconomic status, as 46% reported yearly income less than $47,000, and 50% were educated at a high-school level or less. Most patients (69%) were insured through Medicare, and three were dually enrolled in Medicaid and Medicare. The mean COST score was 12.43 (SD 11.52, range 0-44). In terms of data completion, 50% of participants (13/26) have completed questionnaires through week six of treatment, resulting in 143 completed weekly surveys. 92.6% of surveys were completed in terms of all data elements. The least responded-to prompt queried the meaninful sum of weekly money; only 81 of 143 surveys (56.6%) indicated a response, which at week 1 was $236.11 (medial; IQR $75 to $500). All other sections contained minimal data missing. Conclusions: FT surveys of rural radiaiton oncology population with a range of educational backgrounds is feasible with high fidelity of data collection. Future steps will focus on completing follow-up of the current cohort, analyzing trends, and increasing number of observed patients to idenitfy patterns and predictors of severe FT. Citation Format: Melanie Rose, Renata Yen, Sybil Sha, Aricca Van Citters, Anna Tosteson, Kenneth Meehan, Nirav Kapadia. Preliminary results of a self-reported financial toxicity survey study among rural cancer patients treated with radiotherapy [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr A098.

Current Strengths and Weaknesses of ChatGPT as a Resource for Radiation Oncology Patients and Providers

Purpose: ChatGPT, an artificial intelligence (AI) program that uses natural language processing to generate conversational-style responses to questions or inputs, is increasingly being used by both patients and healthcare professionals. This study aims to evaluate the accuracy and comprehensiveness of ChatGPT in radiation oncology-related domains, including answering common patient questions, summarizing landmark clinical research studies, and providing literature reviews with specific references supporting current standard of care clinical practice in radiation oncology. Methods: We assessed the performance of ChatGPT version 3.5 (ChatGPT3.5) in three areas. We evaluated ChatGPT3.5’s ability to answer 28 templated patient-centered questions applied across 9 cancer types. We then tested ChatGPT3.5’s ability to summarize specific portions of 10 landmark studies in radiation oncology. Next, we used ChatGPT3.5 to identify scientific studies supporting current standard of care practice in clinical radiation oncology for five different cancer types. Each response was graded independently by two reviewers, with discordant grades resolved by a third reviewer. Results: ChatGPT3.5 frequently generated inaccurate or incomplete responses. Only 39.7% of responses to patient-centered questions were considered correct and comprehensive. When summarizing landmark studies in radiation oncology, 35.0% of ChatGPT3.5′s responses were accurate and comprehensive, improving to 43.3% when provided the full text of the study. ChatGPT3.5′s ability to present a list of studies related to standard of care clinical practices was also unsatisfactory, with 50.6% of the provided studies fabricated. Conclusion: ChatGPT should not be considered a reliable radiation oncology resource for patients or providers at this time, as it frequently generates inaccurate or incomplete responses. However, natural language programming-based AI programs are rapidly evolving, and future versions of ChatGPT or similar programs may demonstrate improved performance in this domain.

Effects of Wildfire Events on California Radiation Oncology Clinics and Patients

PurposeThe impact of climate-driven events, such as wildfires, on healthcare delivery and cancer care is a growing concern. Patients with cancer undergoing radiotherapy are particularly vulnerable to treatment interruptions, which have a direct impact on survival. We report the results of a study characterizing the impact of wildfires on radiation oncology clinics and their patients. Methods and MaterialsA survey of California radiation oncologists was used to evaluate emergency preparedness and the impact of wildfires on the delivery of radiotherapy services between 2017-2022. Descriptive statistics and Pearson's chi-squared tests were performed to investigate potential relationships between provider characteristics, practice settings, and perceptions of the impact of wildfire events. California Department of Forestry and Fire Protection (CAL FIRE) data were employed to map the geographic distribution of wildfires to clinic locations. ResultsResponse rate was 12.3% (51/415 radiation oncologists), representing 25% of clinics (43/176) in 41% (24/58) of California counties. 61% (31/51) of respondents reported being impacted by a wildfire, two of which are rural clinics (100%, 2/2) and 29 are (59%, 29/49) metropolitan practices. Of these, 18% (9/51) reported a clinic closure, and 29% (15/51) reported staffing shortages. Respondents reported impacts on patients, including having to evacuate (55%, 28/51), cancel/reschedule treatments (53%, 27/51), and experiencing physical, mental, or financial hardship due to wildfires (45%, 23/51). Respondents described impacts on clinical operations, including being forced to transfer patients (24%, 12/51), transportation interruptions (37%, 19/51), regional/community evacuations (35%, 18/51), and physical/mental health impacts (27%, 14/51) on clinic personnel. Less than half of the respondents (47%, 24/51) reported their workplace had a wildfire emergency preparedness plan. Additionally, geographic analysis revealed that 100% (176/176) of clinics were located within 25 miles of a wildfire. ConclusionsThis study highlights the impact of wildfires on radiation oncology clinics and patients, and underscores the need for emergency preparedness planning to minimize the consequences of such disasters.

Prosedur Penggunaan Alat Fiksasi Masker Termoplastik Pada Terapi Radiasi Kasus Kanker Payudara Di Instalasi Radioterapi RSUP Dr. Hasan Sadikin Bandung

Breast cancer is a type of cancer that often occurs in women, in the treatment of breast cancer is radiotherapy and fixation tools used, namely breast boards and thermoplastic masks which are aids for patients not to move during radiation therapy. The purpose of the study was to determine the procedure and reasons for using thermoplastic mask fixation devices in radiation therapy cases of breast cancer. This research is qualitative with a case study approach, the research time is from June 7 to July 15, 2023 and the research location at the Radiotherapy Installation of Dr. Hasan Sadikin Hospital Bandung. The subjects of the study were Radiation Oncology Doctors, Medical Physicists, Radiotherapists and Patients. By collecting data, making interview transcripts and reducing data and processed with open coding, given in the form of quotations and then drawing conclusions.The results showed that the procedure for using a thermoplastic mask fixation device was inserted into a waterbath with a temperature of 65.50C until the thermoplastic mask became flexible, the reason for using fixation was a shift in smaller objects at the time of irradiation, and better aesthetic value, because concentration marks and field boundaries did not need to be drawn directly on the patient's body but were drawn on the thermoplastic mask. Using a mask does not need to be marked on the patient's chest so that by using a thermoplastic mask the shift towards the target object is smaller during irradiation.

Evaluating the Reliability of Chat-GPT Model Responses for Radiation Oncology Patient Inquiries

To determine if ChatGPT, a popular deep learning text generation tool, accurately and comprehensively answers patient questions related to radiation oncology. A total of 28 common patient-centered questions were selected across various radiation oncology content domains, including diagnosis (4), workup (3), treatment (8), toxicity (4), and survivorship (9). To assess whether ChatGPT could detect inaccurate assumptions and/or respond negatively, we included two "negative control" questions in the treatment and toxicity domains. All questions were applied to common cancer types (breast, non-small cell lung, prostate, p16+ oropharyngeal, and rectal), uncommon cancer types (hypopharyngeal, medulloblastoma, and vulvar), and colon cancer as an additional "negative control." The ChatGPT responses were graded as 0 for any incorrect information, 1 for missing essential content, and 2 for correct and appropriately comprehensive for the length of the response. Each response was graded by two blinded MD reviewers, with discordant answers resolved by a third MD reviewer. Score distribution was compared across content domains, question type ("negative control" vs other), cancer type, and cancer commonality using the Chi-squared test. Overall, a total of 252 questions were submitted to ChatGPT. A total of 86 (34.1%) answers were found to contain inaccurate information, 66 (26.2%) contained correct information but were found to be missing essential context, and 100 (39.7%) responses to questions were graded as correct and comprehensive. There was no significant difference in response score by question domains (p = 0.07). However, there was significant difference in response score across cancer type (p<0.001). The top scoring cancer types were breast (grade 0 = 10%; grade 1 = 21%, grade 2 = 68%) and prostate (grade 0 = 18%, grade 1 = 25%, grade 2 = 57%), while the two lowest scoring cancer types were colon (grade 0 = 61%, grade 1 = 21%, grade 2 = 18%) and vulvar (grade 0 = 50%, grade 1 = 25%, grade 2 = 25%). ChatGPT responses were also significantly different among common, uncommon and negative control questions, with the model performing best with responses to common cancer types (p = 0.003). ChatGPT performed significantly worse when responding to "negative control" questions (p<0.001). ChatGPT failed to consistently generate accurate and comprehensive responses to the majority of radiation oncology patient centered questions, particularly across less common cancers and with "negative control" questions that included incorrect assumptions. This raises concern for the possible ChatGPT mediated reinforcement of patient misperceptions regarding radiotherapy.

Impacts of Wildfire Events on California Radiation Oncology Clinics and Patients

The impact of climate-related disasters such as wildfires on healthcare delivery and cancer care is a growing concern. Patients undergoing radiotherapy are particularly vulnerable to treatment interruptions which are known to have a direct impact on survival outcomes. We report results of the first pilot study characterizing the impact of wildfires on radiation oncology clinics and their patients. A survey was sent to 415 California radiation oncologists representing 144 clinics identified using the ASTRO member directory to gather information about clinic and radiation oncologist demographics, wildfires' impacts on the clinic (physical/operational), physicians, staff, and patients between 2017 and 2022, as well as clinics' disaster preparedness efforts. A total of 51 radiation oncologists completed the survey, representing 43 clinics (30% of clinics) in 24 (41%) of California counties. 35 (69%) of respondents self-identified as male, 27 (53%) worked at hospital-affiliated centers, 19 (37%) worked in academic centers, with 49 (96%) practicing in metropolitan areas. A total of 31 clinics were impacted by a wildfire between 2017 and 2020. The two rural clinics (100%) and 29 (59%) of metro practices reported being impacted by wildfires in the last 5 years, with 9 (18%) reporting a clinic closure and 15 (29%) reporting staffing shortages. 28 (55%) of respondents reported impacts on patients including having to evacuate, 27 (53%) having to cancel or reschedule treatments, and 23 (45%) experiencing physical, mental, or financial hardship due to the wildfires. Among the 25 clinics impacted by wildfires, 12 (24%) reported physical/operational impacts including being forced to evacuate patients to another treatment center, transportation interruptions (19, 37%), community and regional evacuations (18, 35%), school closures (18, 35%), and physical/mental health impacts (14, 27%) on staff due to the wildfires. Small clinics (25 staff or less) that experienced a wildfire were twice as likely to experience closures (6 of 16 clinics, 38%) but equally likely to experience staffing shortages (8 of 16, 50 %) as compared to larger practices (7 of 15, 47%). Nearly half of respondents 25 (47%) reported their workplace had a wildfire emergency preparedness plan. The results of this study demonstrate the significant impact wildfires have on patient care in both rural and metropolitan areas. The findings emphasize the importance of emergency preparedness planning to minimize the consequences of such disasters and underscores the need for further research to explore risk factors associated with patient and community vulnerability to climate-related crises. Such research will be essential to informing and developing future emergency preparedness plans.

Are Psychiatric Comorbidities in the Radiation Oncology Patient Population Under-Recognized by Providers?

Under-recognition of psychiatric comorbidities may be directly tied to potential for poorer patient outcomes. However, there is a paucity of data in radiation oncology settings. This study hypothesized that a disparity exists between the perceived prevalence of psychiatric comorbidities in patients receiving radiotherapy and the rate at which radiation oncologists screen patients for anxiety and depression. From April-July 2021 an online survey was conducted of radiation oncologist members of ASTRO with self-identified practice specializations. Randomly selected invitations were electronically sent to providers from diverse practice backgrounds and geographic locations within the United States and Canada and was conducted using an IRB-reviewed, institutionally approved Microsoft Forms platform. The questionnaire consisted of 20 items examining a broad range of factors that involved general practice demographics, patient screening practice patterns, treatment details and preferred options, and availability and referral data for specialist care for possible psychiatric comorbidities. Statistical analysis was performed using Fisher's exact test. For questions with Yes/No responses, exact binomial test was used. A total of 500online invitations were emailed with 55 responses. Of the responders, 3 did not provide consent. Therefore, 52 (10.4%) responses were included in the analysis and are the subject of this report. This response rate is consistent with other published studies of this type. 85% (p<0.001) of respondents identified the need to screen for psychiatric comorbidities in radiation oncology settings. However, 71% (p = 0.003) did not perform formal screening for psychiatric comorbidities, and of those who did screen, there was no uniformity in the screening tool utilized. Likewise, 79% (p<0.001) did not initiate treatment for psychiatric condition(s). Of providers that did initiate treatment, 91% (p = 0.012) felt that psychiatric comorbidities were under-diagnosed in their patient population. No association was made between providers who specialize in CNS malignancies as being more likely to recognize psychiatric comorbidities in their patient population versus those who do not. Importantly, 75% self-reported that they would benefit from additional training to assess psychiatric comorbidities (p<0.001). A need to screen for psychiatric comorbidities in radiation oncology settings was identified despite very little formal screening performed. Responses revealed adequate community resources exist for referral in most instances. However, providers did not routinely refer patients for treatment of psychiatric comorbidities, even when recognized. This survey identified an unmet need for improved education among providers to engage in screening and referral for psychiatric comorbidities, and to develop a care system that supports standardization of screening practices and tools in this patient population.

An Integrative Medicine Educational Program for Radiation Oncology Patients: Patient-Reported Outcomes

Complementary health approaches (CHAs) equip patients to self-manage radiation therapy (RT)-related symptoms and fulfill unmet needs, but few disclose CHA use to their radiation oncologist. An integrative medicine educational program (IMEP) was developed to assess its ability to improve patient self-efficacy for symptom management and CHA use disclosure. The IMEP included 4 1-hour sessions covering topics of (1) meditation, (2) yoga, (3) massage therapy, and (4) nutrition. Individuals over age 18 years and actively receiving RT were administered presession and postsession surveys. The primary outcomes were intention to disclose CHA use and self-efficacy. Qualitative data were assessed with a thematic approach. Overall, 23 patients attended 1 or more sessions, yielding 43 completed surveys. Compared with 35.9% of participants who had disclosed CHA use before the session, 67.4% intended to disclose after the session. Of the 5 self-efficacy statements, there were significant improvements in "I have ownership over my health" (increase of 0.42; 95% CI, 0.07-0.77; P = .01), "I have tools to manage my disease on my own" (1.14; 95% CI, 0.42-1.87; P = .001), and "I have control over my cancer" (0.96; 95% CI, 0.39-1.53; P < .001). Barriers to involvement included transportation, timing relative to RT appointment, and poor performance status. A radiation-specific IMEP resulted in a high rate of intention to disclose CHA use and improvements in patients' reported self-efficacy to manage radiation-related symptoms. However, substantial resources were needed to deliver the IMEP. Future work must focus on increasing accessibility through telehealth and flexible timing.

Care dependency in radiation oncology patients and related factors – a descriptive study

Introduction and aim. The incidence of cancer is increasing on a daily basis. One of the methods used for treatment is radiotherapy. Owing to interventions during the radiotherapy process, the patient may experience care dependency. In this study, the aim was to investigate care dependence and related factors in radiation oncology patients. Material and methods. This was a descriptive and cross-sectional study. Data were collected between September 2020 and September 2021. In the collection of data, a sociodemographic information form and a Care Dependency Scale were used. The sample consisted of 52 people. Results. Number of participants was 52, mean age was 60.25±11.715, mean care dependency score (initial) 66.19±18.966, mean care addiction score (final) 66.27±22.795. Conclusion. The care dependency of patients hospitalized in the radiation oncology clinic is moderate. The care dependency of these patients decreased partially during their stay in the clinic. The patient’s inability to walk, speak and the presence of a companion affected the patient’s condition. By evaluating the care dependency levels of the patients, the awareness of the nurses about their patients can be increased. In addition, it may be appropriate to consider the care dependency levels of the patients for the nurse workforce planning to work in the oncology clinic.

The Role of Dental Practitioners in the Management of Oncology Patients: The Head and Neck Radiation Oncology Patient and the Medical Oncology Patient

This narrative review addresses the role of a dentist in the management of oncology patients, highlighting the oral complications that arise in head and neck radiation oncology patients and medical oncology patients. The prevention and management of these complications are discussed.

The Effect of Health Insurance on Pediatric Cancer Survival: An Analysis of Children Evaluated for Radiation Therapy in Diverse Multicenter Health Systems.

Understanding the role of health insurance in cancer survival in a diverse population of pediatric radiation oncology patients could help to identify patients at risk of adverse outcomes. Data were collected from cancer patients evaluated for radiation therapy, age < 19, diagnosed from January 1990 to August 2019. Predictors of recurrence-free survival (RFS) and overall survival (OS) were analyzed by univariable and multivariable Cox regression. Variables included health insurance, diagnosis type, sex, race/ethnicity, and socioeconomic status deprivation index. The study included 459 patients with a median diagnosis age of 9 years. Demographic breakdown was 49.5% Hispanic, 27.2% non-Hispanic White, and 20.7% non-Hispanic Black. There were 203 recurrences and 86 deaths observed over a median follow-up of 2.4 years. Five-year RFS was 59.8% (95% CI, 51.6, 67.0) versus 36.5% (95% CI, 26.6, 46.6), and 5-year OS was 87.5% (95% CI, 80.9, 91.9) versus 71.0% (95% CI, 60.3, 79.3) in private pay insurance versus Medicaid/Medicare, respectively. Multivariable showed Medicaid/Medicare patients experienced a 54% higher risk of recurrence (hazard ratio: 1.54, 95% CI, 1.08, 2.20) and 79% higher risk of death (hazard ratio: 1.79, 95% CI, 1.02, 3.14) than privately insured patients. Significant disadvantages in RFS and OS were identified in radiation oncology patients with Medicaid/Medicare insurance, even after adjusting for clinical and demographic variables.

ACPSEM position paper on ROMP scope of practice and staffing levels for magnetic resonance linear accelerators

The purpose of this position paper is to outline the ACPSEM recommendations on Medical Physicist scope of practice and staffing levels, as they relate to the use of dedicated MRI-Linacs in the treatment of patients. A core function of Medical Physicists is to safely implement changes in medical practice via the introduction of new technology and to ensure high quality radiation oncology services are provided to patients. Determining the feasibility of MRI-Linacs in any existing setting, or in establishing a new site, mandates the knowledge and services of Radiation Oncology Medical Physicists (ROMPs) as the Qualified Experts within this setting. ROMPs are key members of the multi-disciplinary team which will be required to steer the successful establishment of MRI Linac infrastructure within departments. To support efficient implementation, ROMPs must be embedded in the process from the start, including any feasibility study, initiation of the project, and development of the business case. ROMPs must be retained throughout all stages of acquisition, service development, and ongoing clinical use and expansion. The number of MRI-Linacs in Australia and New Zealand is growing. This expansion is occurring in parallel with rapid technological evolution, expanding tumour stream applications, and increasing consumer uptake. Growth and applications of MRI-Linac therapy will continue to occur beyond current known horizons, via development on the MR-Linac platform itself and through the migration of learning from this platform to conventional Linacs (known horizons for example include the use of daily, online image guided adaptive radiotherapy and MRI data informing decision making for planning and treatment before and throughout treatment courses). Clinical use, research and development will be a significant component of expanding patient access to MRI-Linac treatment and there will be an ongoing need to attract and retain ROMPs to initially establish services and in particular to drive service development and delivery for the life of the Linacs. MRI and Linac technologies mean it is necessary to perform a specialized workforce assessment for these devices, distinct from those employed for conventional Linacs and associated services. MRI-Linacs are complex, have a heightened risk profile compared to standard Linacs, and are unique in their treatment of patients. Accordingly, the workforce needs for MRI-Linacs are greater than for standard Linacs. To ensure safe and high-quality Radiation Oncology patient services are provided, it is recommended that staffing levels should be based on the 2021 ACPSEM Australian Radiation Workforce model and calculator using the MRI-Linac specific ROMP workforce modelling guidelines outlined in this paper. The ACPSEM workforce model and calculator are closely aligned with other Australian/New Zealand and international benchmarks.

Associations With Virtual Visit Use Among Patients Receiving Radiation Therapy

The objective of this study was to test for patient characteristics associated with virtual versus office visits among radiation oncology patients. Using the electronic health record, we extracted encounter data and corresponding patient information for the 6 months before and 6 months of COVID-19-enabled virtual visits (October 1, 2019, to March 22, 2020 vs March 23, 2020, to September 1, 2020) at a National Cancer Institute-Designated Cancer Center. Encounters during COVID-19 were categorized as in-person or virtual visits. We compared patient demographic variables including race, age, sex, marital status, preferred language, insurance status, and tumor type during the pre-COVID-19 period as a baseline versus during the COVID-19 period. Multivariable analyses examined associations between these variables and virtual visit use. We analyzed 4974 total encounters (2287 before COVID-19 and 2687 during COVID-19) for 3960 unique patients. All (100%) pre-COVID-19 encounters were in-person. During COVID-19, 21% of encounters were via virtual visits. There were no differences identified in pre- versus during-COVID-19 patient characteristics. However, we found significant differences in patient characteristics for in-person versus virtual encounters during COVID-19. On multivariable analysis, virtual visit use was less common among patients who were Black versus White (odds ratio [OR], 0.75; 95% CI, 0.57-0.99; P=.044) and not married versus married (OR, 0.76; 95% CI, 0.59-0.98; P=.037). Patients with head and neck (OR, 0.63; 95% CI, 0.41-0.97; P=.034), breast (OR, 0.36; 95% CI, 0.21-0.62; P ≤ .001), gastrointestinal/abdominal (OR, 0.31; 95% CI, 0.15-0.63; P=.001), or hematologic malignancy (OR, 0.20; 95% CI, 0.04-0.95; P=.043) diagnoses were less likely to be scheduled for virtual visits relative to patients with genitourinary malignancy. No Spanish-speaking patients engaged in a virtual visit. We did not identify differences in the insurance status or sex of patients scheduled for virtual visits. We found significant differences in virtual visit use by patient sociodemographic and clinical characteristics. Further investigation into implications of differential virtual visit use including social and structural determinants and subsequent clinical outcomes is indicated.

Patient self-reported follow-up for radiation oncology patients during COVID-19: feasibility and patient-clinician agreement

Introduction COVID-19 required health services to be innovative and quickly adapt their health service delivery, including adopting health technology in cancer clinical practice. COVID-19 restrictions forced us to introduce follow-up consultations for many patients via telehealth. At the same time, we adapted an existing Patient Reported Outcome messaging service that linked to the patient’s medical record to allow patients to self-report their health and disease status before their telehealth follow-up consultation. This study aimed to evaluate the feasibility of self-reporting for cancer follow-up care, and determine the patient-clinician level of agreement.&#x0D; Methods Cross-sectional clinical practice study. Patients on radiation oncology follow-up care were sent a text message with a weblink to a survey to self-report their health before their radiation oncologist appointment. Radiation oncologists completed the same set of questions during or within a day of the telehealth follow-up consultation. Descriptive statistics were analysed to evaluate the uptake of self-reporting. Percent agreement and Cohen’s Kappa were used to determine patient-clinician agreement.&#x0D; Results A moderate response rate of 62% was achieved from the 145 patients. There was no difference in the age of patients that were able to complete the assessment. Percent agreement between the patient-reported and the clinician-reported for weight change, appetite, physical performance, side effects was acceptable (&gt;75%). However, percent agreement was moderate for pain and sleep. For most items, Cohen’s Kappa indicated moderate agreement, with pain, side effects, and recurrence being fair. Patients were more likely to report themselves worse than the clinician for all items, except for side effects.&#x0D; Conclusion Patient self-reported health can provide useful information for clinicians to remotely follow-up their patients. This holds promise for future models of follow-up care, particularly for rural and remote patients, and during pandemics and other disasters where clinic attendance is not possible.