ABSTRACT
Nurses die by suicide at a higher rate than the general population. Previous studies have observed mental health problems, including substance use, as a prominent antecedent before death. The purpose of this study was to explore the characteristics of nurses who died by suicide documented in the death investigation narratives from the National Violent Death Reporting System from 2003 to 2017 using thematic analysis and natural language processing. One thousand three hundred and fifty-eight subjects met these inclusion criteria. Narratives from 601 subjects were thematically analyzed and 2544 individual narratives were analyzed using natural language processing. The analyses revealed five themes: "mental health treatment," "poor general health and chronic pain," "substance use," "worsening mental health after bereavement," and "repeating a family member's suicide." Mental health/substance use, chronic illness, and chronic pain were seen to coexist in a complex, interdependent manner that appeared to be entangled in the nurses' narratives before death. These findings echo the need for reducing the stigmatization of mental health problems in nursing and removing barriers to help-seeking behaviors as early preventative interventions. Future research is needed to determine if a comprehensive healthcare integration approach to address these entangled problems would reduce suicide vulnerability in nurses and improve their quality of life.
Subject(s)
Chronic Pain , Nurses , Suicide , Humans , Mental Health , Quality of LifeABSTRACT
BACKGROUND: Suicide is one of the leading causes of death worldwide, and estimates of suicide among health professionals are higher than the general population. High rates of suicide among physicians and nurses have been described previously, but there is a lack of data for suicides completed by pharmacists. OBJECTIVE: The purpose of this study was to quantify the incidence, means, and characteristics of pharmacist suicides in the United States. METHODS: Data were obtained from the Centers for Disease Control and Prevention's National Violent Death Reporting System (NVDRS) for the years 2003-2018. The dataset contained all suicides, coded by occupation, reported by medical examiners and law enforcement from 39 states and Washington DC and Puerto Rico. Suicide characteristics were compared between pharmacists and nonpharmacists. Age-adjusted rates were calculated for 2004, 2009, and 2014. RESULTS: During 2003-2018, the NVDRS contained 316 pharmacist suicides compared with 213,146 nonpharmacist suicides. The age-adjusted rates per 100,000 people were 19.6, 20.1, and 18.2 for 2004, 2009 and 2014, respectively. The most common means of suicide was firearm. Associated factors for suicide included job problems, current mental illness treatment, and suicide note. CONCLUSION: Suicide rates among pharmacists are higher than the general population. Future research is needed to evaluate the context of job-related problems to mitigate risk. Encouraging help-seeking behaviors to identify and treat pharmacist depression is warranted.
Subject(s)
Suicide , Cause of Death , Homicide , Humans , Pharmacists , Population Surveillance , United States , ViolenceABSTRACT
Nurses are known to be at an increased risk of death by suicide, and recent studies have found links between nurse suicide, substance use, mental health issues, and job problems. Because of stigma, inaccessibility of resources, and regulatory and legal issues, nurses are unlikely to seek help unless a crisis forces them into treatment. The purpose of this article is to review the current understanding of nurse suicide, the psychological impact of the novel coronavirus (COVID-19) pandemic, the strategic planning approach to identify the needs of nurses, and promising interventions and practices. Evidence-based strategies to intervene at the personal, institutional, and regulatory levels should be employed to reduce nurse suicide by focusing not only on suicide but also on treatment of substance and mental health issues, as well as a renewed focus on disciplinary procedures that may place nurses in immediate danger of death by suicide. Nurse leaders have a moral obligation to provide proactive, meaningful interventions to reduce the risk of death by suicide among nurses.
Subject(s)
COVID-19 , Substance-Related Disorders , Suicide , Humans , Mental Health , SARS-CoV-2ABSTRACT
AIMS AND OBJECTIVES: To describe the substance use and mental health characteristics of nurses who complete suicide compared to non-nurses. BACKGROUND: Nurses are at higher risk of suicide than the general population. The relationship between substance use, mental health and suicide in a large sample of nurses in the USA has not been previously described. DESIGN: Retrospective observational quantitative analysis. METHODS: Suicide data were retrospectively analysed in the Centers for Disease Control and Prevention National Violent Death Reporting System from 2003 to 2017. Data were compared between nurses who died by suicide (n = 2,306) and non-nurses who died by suicide (n = 185,620) using odds ratios calculations and chi-square test of proportions to detect independent risk factors of suicide completion in nurses. This study followed the STROBE guidelines. RESULTS: Significant differences between nurses and non-nurses were found. Among decedents for whom substances were implicated as a cause of death, nurses were far more likely to be positive at the time of death for almost all substance classifications. Both male and female nurses were more likely than non-nurses to have a mental health problem reported. Among both female and male nurses, job problems were more prevalent compared to non-nurses (12.8% and 19.9% versus 7.2% and 11.9%, respectively). Female nurses were more likely to have a physical health problem compared to female non-nurses, male nurses and male non-nurses (26.2% versus 21.3%, 22% and 20.4%). CONCLUSION: Unique relationships between substance use and mental health exist among nurses who complete suicide which may offer specific opportunities for interventions to reduce suicide. RELEVANCE TO CLINICAL PRACTICE: Efforts to address workplace stress, facilitate self-referral for risky substance use, encourage mental health treatment and reduce the stigma associated with seeking help all offer potential interventions to reduce nurse suicide.
Subject(s)
Substance-Related Disorders , Suicide , Female , Humans , Male , Mental Health , Nurses, Male , Retrospective Studies , Substance-Related Disorders/epidemiologyABSTRACT
BACKGROUND: Survivorship care plans contain important information for patients and primary care physicians regarding appropriate care for cancer survivors after treatment. We describe the completeness of prostate cancer survivorship care plans and evaluate the concordance of follow-up recommendations with guidelines. METHODS: We analyzed 119 prostate cancer survivorship care plans from one academic and one community cancer center, abstracting demographics, cancer/treatment details, and follow-up recommendations. Follow-up recommendations were compared with the American Cancer Society (ACS), American Society of Clinical Oncology (ASCO), and National Comprehensive Cancer Network (NCCN) guidelines. RESULTS: Content in >90% of plans included cancer TNM stage; prostate-specific antigen (PSA) at diagnosis; radiation treatment details (98% of men received radiation); and PSA monitoring recommendations. Potential treatment-specific side effects were listed for 82% of men who had surgery, 86% who received androgen deprivation therapy (ADT), and 97% who underwent radiation. The presence of posttreatment symptoms was noted in 71% of plans. Regarding surveillance follow-up, all guidelines recommend an annual digital rectal exam (DRE). No plans specified DRE. However, all 71 plans at the community site recommended at least annual follow-up visits with urology, radiation oncology, and primary care. Only 2/48 plans at the academic site specified follow-up visits. All guidelines recommend PSA testing every 6-12 months for 5 years, then annually. For the first 5 years, 90% of plans were guideline-concordant, 8% suggested oversurveillance, and 2% were incomplete. In men receiving ADT, ACS and ASCO recommend bone density imaging and NCCN recommends testosterone levels. Of 77 men on ADT, 1% were recommended bone density imaging and 16% testosterone level testing. CONCLUSIONS: While care plan content is more complete for demographic and treatment summary information, both sites had gaps in reporting posttreatment symptoms and ADT-related testing recommendations. These findings highlight the need to improve the quality of information in care plans, which are important in communicating appropriate follow-up recommendations to patients and primary care physicians.
Subject(s)
Androgen Receptor Antagonists/therapeutic use , Prostatic Neoplasms/therapy , Survivorship , Aged , Aged, 80 and over , Humans , Male , Middle Aged , Prostatic Neoplasms/drug therapy , Prostatic Neoplasms/radiotherapy , Prostatic Neoplasms/surgeryABSTRACT
PURPOSE: Nurses in the radiation oncology (RO) clinic have a critical role in the management of patients receiving radiation therapy. However, limited data exist regarding the exposure of nurses to RO during training and the current educational needs of practicing RO nurses. This study assesses nurses' prior RO education, participation in national training efforts, and perceived educational needs. METHODS AND MATERIALS: A web-based survey using a 5-point Likert-type scale was distributed to RO nurses at 3 academic medical centers. Questions focused on prior education experiences, clinical areas of strength/weakness, and perceived value of future educational interventions. Likert-type scores are reported as median (interquartile range), and a Kruskal-Wallis test was conducted to assess for significant differences in responses. RESULTS: The survey response rate was 39 of 54 (72%). Respondents were 90% female and trained at 30 nursing schools in 17 states. Only 5% of nurses reported a curriculum in nursing school with RO content, and nearly all (97%) received their RO education on the job. Forty-one percent of nurses completed the Oncology Nursing Society radiation therapy certificate course, and only 5% completed the American Society for Radiation Oncology nursing module. Nurses felt most confident in the overall management of patients with breast (4 [3-4]), prostate (4 [3-5]), and central nervous system (4 [3-4]) cancers and least confident for lymphoma (3 [2-4]), gynecologic (3 [2-4]), and head and neck cancers (3 [2-4]; P < .01). Nurses rated didactic lectures from physicians (5 [3-5]), shadowing RO residents (4 [3-5]), and working with simulation therapists (4 [3-5]) as valuable components to include in a training curriculum (P = .08). CONCLUSIONS: Nursing school exposure to RO is limited, and only a minority of RO nurses complete RO-specific training or certification available from national organizations. This study identifies several areas of perceived clinical nursing strengths and weaknesses that can be used to inform the design of future RO nursing educational programs.
Subject(s)
Education, Nursing/statistics & numerical data , Radiation Oncology/education , Adult , Clinical Competence , Female , Humans , Male , Needs Assessment , Surveys and Questionnaires , United StatesABSTRACT
BACKGROUND: Substance use by patients with a cancer diagnosis may have a detrimental effect on short- and long-term outcomes. Screening, brief intervention, and referral to treatment (SBIRT) has been recommended for all patients in primary care and emergency medicine. OBJECTIVES: The purpose of this quality improvement project was to train clinical providers and to implement an effective SBIRT program in a radiation oncology clinic in a comprehensive cancer center. METHODS: An interprofessional task force developed a staff training protocol that incorporated oncology-specific content. The team then piloted an SBIRT program in the outpatient clinic. FINDINGS: Staff training results were mixed, with only a few evaluation items showing significant improvement. Despite these results, staff training and the implementation of an SBIRT may be valuable in improving substance use screening in this vulnerable population.
Subject(s)
Neoplasms , Substance-Related Disorders , Early Detection of Cancer , Humans , Mass Screening , Neoplasms/diagnosis , Primary Health Care , Referral and Consultation , Substance-Related Disorders/diagnosisABSTRACT
AIM AND BACKGROUND: We describe a successful implementation of a departmental incident learning system (ILS) across a regionally expanding academic radiation oncology department, dovetailing with a structured integration of the safety and quality program across clinical sites. MATERIALS AND METHODS M: Over 6 years between 2011 and 2017, a long-standing departmental ILS was deployed to 4 clinical locations beyond the primary clinical location where it had been established. We queried all events reported to the ILS during this period and analyzed trends in reporting by clinical site. The chi-square test was used to determine whether differences over time in the rate of reporting were statistically significant. We describe a synchronous development of a common safety and quality program over the same period. RESULTS: There was an overall increase in the number of event reports from each location over the time period from 2011 to 2017. The percentage increase in reported events from the first year of implementation to 2017 was 457% in site 1, 166.7% in site 2, 194.3% in site 3, 1025% in site 4, and 633.3% in site 5, with an overall increase of 677.7%. A statistically significant increase in the rate of reporting was seen from the first year of implementation to 2017 (p < 0.001 for all sites). CONCLUSIONS: We observed significant increases in event reporting over a 6-year period across 5 regional sites within a large academic radiation oncology department, during which time we expanded and enhanced our safety and quality program, including regional integration. Implementing an ILS and structuring a safety and quality program together result in the successful integration of the ILS into existing departmental infrastructure.
ABSTRACT
PURPOSE: We evaluated patterns of event reporting across five clinical locations within an academic radiation oncology department, with the goal of better understanding variability across sites. METHODS AND MATERIALS: We analyzed 1,351 events reported to a departmental incident learning system over 1 calendar year across the five locations with respect to volume of events, event type, process map location of origin and detection, and event reporter. RESULTS: We found marked variability in reporting patterns, including reporting rate, event type, event severity, event location of origin and detection within the departmental process map, and discipline of event reporters. These differences relate both to variability in process and workflow (reflected by frequency of specific workflow events at each site) and in reporting culture (reflected by volume or rate of event reporting, and discipline of event reporter). CONCLUSIONS: These data highlight the variability in reporting culture even within a single department, and therefore the need to tailor and individualize safety and quality programs to the unique clinical site, with the long-term goal of achieving a common culture of safety while supporting unique processes at individual locations. This work also raises concern about extrapolating single-institution incident learning system results without understanding the unique workflow and culture of clinical sites.
Subject(s)
Oncology Service, Hospital/organization & administration , Radiation Oncology/organization & administration , Research Report/trends , Risk Management/statistics & numerical data , Academic Medical Centers , Education, Medical, Continuing , Female , Humans , Incidence , Male , Patient Safety/statistics & numerical data , Retrospective Studies , Risk Assessment , United StatesABSTRACT
PURPOSE: Clinical data collection and development of outcome prediction models by machine learning can form the foundation for a learning health system offering precision radiation therapy. However, changes in clinical practice over time can affect the measures and patient outcomes and, hence, the collected data. We hypothesize that regular prediction model updates and continuous prospective data collection are important to prevent the degradation of a model's predication accuracy. METHODS AND MATERIALS: Clinical and dosimetric data from head and neck patients receiving intensity modulated radiation therapy from 2008 to 2015 were prospectively collected as a routine clinical workflow and anonymized for this analysis. Prediction models for grade ≥2 xerostomia at 3 to 6 months of follow-up were developed by bivariate logistic regression using the dose-volume histogram of parotid and submandibular glands. A baseline prediction model was developed with a training data set from 2008 to 2009. The selected predictor variables and coefficients were updated by 4 different model updating methods. (A) The prediction model was updated by using only recent 2-year data and applied to patients in the following test year. (B) The model was updated by increasing the training data set yearly. (C) The model was updated by increasing the training data set on the condition that the area under the curve (AUC) of the recent test year was less than 0.6. (D) The model was not updated. The AUC of the test data set was compared among the 4 model updating methods. RESULTS: Dose to parotid and submandibular glands and grade of xerostomia showed decreasing trends over the years (2008-2015, 297 patients; P < .001). The AUC of predicting grade ≥2 xerostomia for the initial training data set (2008-2009, 41 patients) was 0.6196. The AUC for the test data set (2010-2015, 256 patients) decreased to 0.5284 when the initial model was not updated (D). However, the AUC was significantly improved by model updates (A: 0.6164; B: 0.6084; P < .05). When the model was conditionally updated, the AUC was 0.6072 (C). CONCLUSIONS: Our preliminary results demonstrate that updating prediction models with prospective data collection is effective for maintaining the performance of xerostomia prediction. This suggests that a machine learning framework can handle the dynamic changes in a radiation oncology clinical practice and may be an important component for the construction of a learning health system.
Subject(s)
Head and Neck Neoplasms/radiotherapy , Radiotherapy, Intensity-Modulated/adverse effects , Radiotherapy/adverse effects , Radiotherapy/methods , Adolescent , Adult , Aged , Aged, 80 and over , Area Under Curve , Data Collection , Female , Humans , Machine Learning , Male , Middle Aged , Parotid Gland/radiation effects , Prospective Studies , Radiometry , Radiotherapy Dosage , Radiotherapy, Conformal , Radiotherapy, Intensity-Modulated/methods , Reproducibility of Results , Submandibular Gland/radiation effects , Xerostomia/etiology , Young AdultABSTRACT
OBJECTIVE: We explore whether a knowledge-discovery approach building a Classification and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer (HNC) patients treated with radiation therapy (RT) is feasible. METHODS AND MATERIALS: HNC patients from 2007 to 2015 were identified from a prospectively collected database Oncospace. Two prediction models at different time points were developed to predict weight loss ≥5 kg at 3 months post-RT by CART algorithm: (1) during RT planning using patient demographic, delineated dose data, planning target volume-organs at risk shape relationships data and (2) at the end of treatment (EOT) using additional on-treatment toxicities and quality of life data. RESULTS: Among 391 patients identified, WL predictors during RT planning were International Classification of Diseases diagnosis; dose to masticatory and superior constrictor muscles, larynx, and parotid; and age. At EOT, patient-reported oral intake, diagnosis, N stage, nausea, pain, dose to larynx, parotid, and low-dose planning target volume-larynx distance were significant predictive factors. The area under the curve during RT and EOT was 0.773 and 0.821, respectively. CONCLUSIONS: We demonstrate the feasibility and potential value of an informatics infrastructure that has facilitated insight into the prediction of WL using the CART algorithm. The prediction accuracy significantly improved with the inclusion of additional treatment-related data and has the potential to be leveraged as a strategy to develop a learning health system.
ABSTRACT
OBJECTIVES: The Functional Assessment of Cancer Therapy (FACT) instrument is comprised of a group of related and overlapping quality of life (QoL) questionnaires including a core general form, head and neck cancer (HNC)-specific items, and an expert-selected index (FACT-HNSI). Understanding how these relate to more HNC-specific instruments such as the MD Anderson Dysphagia Inventory (MDADI) and Sydney Swallow Questionnaire (SSQ) is vital for guiding their use in clinical trials. MATERIALS AND METHODS: HNC patients concurrently completed MDADI, SSQ, and FACT questionnaires at radiation oncology clinic visits (2015-2016). Spearman correlation coefficients were calculated between each FACT instrument and MDADI or SSQ. Unsupervised k-means cluster analyses were performed to identify clusters of similar QoL responses. Principal component analysis (PCA) identified the degree of variability explained by each instrument. RESULTS: We identified 631 instances (363 patients) where the questionnaires were completed concurrently. Correlations between the various FACT measures and SSQ or MDADI were all significant (pâ¯<â¯0.001), but FACT HNC-specific subscale and FACT-HNSI showed the strongest correlation with MDADI and SSQ. Clustering identified 3 distinct groups of responses when combining instruments either pairwise or three-way. PCA revealed that MDADI and FACT HNC-specific subscale provide similar and likely redundant information. CONCLUSION: FACT HNC-subscale and FACT-HNSI may be preferable over other FACT measures for use in clinical trials where patient-reported swallow function is evaluated. MDADI and FACT provide similar insights into HNC patient QoL while SSQ provides additional, complementary information which could serve to better stratify patients into groups with high, medium, and low QoL outcomes.
Subject(s)
Deglutition Disorders/etiology , Head and Neck Neoplasms/complications , Radiation Injuries/etiology , Squamous Cell Carcinoma of Head and Neck/complications , Adult , Aged , Alcohol Drinking/epidemiology , Antineoplastic Agents/therapeutic use , Cluster Analysis , Combined Modality Therapy , Cross-Sectional Studies , Female , Head and Neck Neoplasms/drug therapy , Head and Neck Neoplasms/radiotherapy , Humans , Male , Middle Aged , Patient Reported Outcome Measures , Pilot Projects , Principal Component Analysis , Prospective Studies , Radiotherapy/adverse effects , Severity of Illness Index , Smoking/epidemiology , Squamous Cell Carcinoma of Head and Neck/drug therapy , Squamous Cell Carcinoma of Head and Neck/radiotherapy , Surveys and QuestionnairesABSTRACT
PURPOSE: The optimal approach to managing incident learning system (ILS) reports remains unclear. Here, we describe our experience with prospective coding of events reported to the ILS with comparisons of risk scores on the basis of event type and process map location. METHODS AND MATERIALS: Reported events were coded by type, origin, and method of discovery. Events were given a risk priority number (RPN) and near-miss risk index (NMRI) score. We compared workflow versus near-miss events with respect to origin and detection in the process map and by risk scores. A χ2 test was used to compare the differences between workflow and near-miss events. A comparison of RPN scores was done by independent t test. RESULTS: During 2016, 1351 events were reported. Of these events, 1300 (96.2%) were workflow and 51 (3.8%) near-miss events. Workflow events were more likely to both originate (1041 of 1300 events; 81.2%) compared with near-miss events (31 of 51 events; 62.7%; P = .005) and be detected in pre-treatment (997 of 1300 events; 76.7%) compared with near-miss events (24 of 51 events; 47%; P < .001). Average occurrence (scale: 1-10) was 6.14 for workflow versus 3.33 for near-miss events (P < .001), average severity was 2.94 versus 7.35 (P < .001), and average detectability was 1.33 versus 4.67 (P < .001). Mean overall RPN was 22.4 for workflow versus 108.4 for near-miss events (P = .07) and mean NMRI was 1.16 versus 3.19, respectively. Events that originated and were detected in treatment delivery had the greatest mean overall RPN (38.2 and 32.1, respectively) and NMRI scores (1.62 and 1.6, respectively). CONCLUSIONS: Our experience demonstrates that workflow event reports are far more common than near-misses and that near-miss events are more likely to both originate and be discovered in later treatment phases. The frequency of workflow reports highlights the imperative need for safety and operational teams to work collaboratively to maximize the benefit of ILS. We suggest a potential utility of the RPN system to guide mitigation strategies for future near-miss events.
Subject(s)
Medical Errors/prevention & control , Neoplasms/radiotherapy , Radiation Injuries/prevention & control , Radiation Oncology/organization & administration , Risk Management/methods , Clinical Coding/methods , Humans , Medical Errors/statistics & numerical data , Patient Safety , Practice Patterns, Physicians'/organization & administration , Prospective Studies , Risk Assessment/methods , WorkflowABSTRACT
PURPOSE: Common performance metrics for outpatient clinics define the time between patient arrival and entry into an examination room as "waiting time." Time spent in the room is considered processing time. This characterization systematically ignores time spent in the examination room waiting for service. If these definitions are used, performance will consistently understate total waiting times and overstate processing times. Correcting such errors will provide a better understanding of system behavior. METHODS AND MATERIALS: In a radiation oncology service in an urban academic clinic, we collected data from a patient management system for 84 patients with 4 distinct types of visits: consultations, follow-ups, on-treatment visits, and nurse visits. Examination room entry and exit times were collected with a real-time location system for relevant care team members. Novel metrics of clinic performance were created, including the ratio of face time (ie, time during which the patient is with a practitioner) to total cycle time, which we label face-time efficiency. Attending physician interruptions occurred when the attending is called out of the room during a patient visit, and coordination-related delays are defined as waits for another team member. RESULTS: Face-time efficiency levels for consults, follow-ups, on-treatment visits, and nurse visits were 30.1%, 22.9%, 33.0%, and 25.6%, respectively. Attending physician interruptions averaged 6.7 minutes per patient. If these interruptions were eliminated, face-time efficiencies would rise to 33.2%, 29.2%, 34.4%, and 25.6%, respectively. Eliminating all coordination-related delays would increase these values to 41.3%, 38.9%, 54.7%, and 38.7%, respectively. CONCLUSIONS: A real-time location system can be used to augment a patient management system and automate data collection to provide improved descriptions of clinic performance.
Subject(s)
Ambulatory Care Facilities/organization & administration , Efficiency, Organizational , Neoplasms/radiotherapy , Radiation Oncology/organization & administration , Ambulatory Care Facilities/statistics & numerical data , Humans , Patient Care Team/organization & administration , Patient Satisfaction , Radiation Oncology/statistics & numerical data , Time Factors , Time ManagementABSTRACT
PURPOSE: As a core component of a new gynecologic cancer radiation program, we envisioned, structured, and implemented a novel Interventional Radiation Oncology (IRO) unit and magnetic resonance (MR)-brachytherapy environment in an existing MR simulator. METHODS AND MATERIALS: We describe the external and internal processes required over a 6-8 month time frame to develop a clinical and research program for gynecologic brachytherapy and to successfully convert an MR simulator into an IRO unit. RESULTS: Support of the institution and department resulted in conversion of an MR simulator to a procedural suite. Development of the MR gynecologic brachytherapy program required novel equipment, staffing, infrastructural development, and cooperative team development with anesthetists, nurses, therapists, physicists, and physicians to ensure a safe and functional environment. Creation of a separate IRO unit permitted a novel billing structure. CONCLUSIONS: The creation of an MR-brachytherapy environment in an MR simulator is feasible. Developing infrastructure includes several collaborative elements. Unique to the field of radiation oncology, formalizing the space as an Interventional Radiation Oncology unit permits a sustainable financial structure.
Subject(s)
Brachytherapy/methods , Genital Neoplasms, Female/radiotherapy , Magnetic Resonance Imaging, Interventional/methods , Radiation Oncology/methods , Computer Simulation , Female , Humans , Radiation Oncology/instrumentationABSTRACT
PURPOSE: To test the hypothesis that quantifying swallow function with multiple patient-reported outcome (PRO) instruments is an important strategy to yield insights in the development of personalized deintensified therapies seeking to reduce the risk of head and neck cancer (HNC) treatment-related dysphagia (HNCTD). METHODS AND MATERIALS: Irradiated HNC subjects seen in follow-up care (April 2015 to December 2015) who prospectively completed the Sydney Swallow Questionnaire (SSQ) and the MD Anderson Dysphagia Inventory (MDADI) concurrently on the web interface to our Oncospace database were evaluated. A correlation matrix quantified the relationship between the SSQ and MDADI. Machine-learning unsupervised cluster analysis using the elbow criterion and CLUSPLOT analysis to establish its validity was performed. RESULTS: We identified 89 subjects. The MDADI and SSQ scores were moderately but significantly correlated (correlation coefficient -0.69). K-means cluster analysis demonstrated that 3 unique statistical cohorts (elbow criterion) could be identified with CLUSPLOT analysis, confirming that 100% of variances were accounted for. Correlation coefficients between the individual items in the SSQ and the MDADI demonstrated weak to moderate negative correlation, except for SSQ17 (quality of life question). CONCLUSIONS: Pilot analysis demonstrates that the MDADI and SSQ are complementary. Three unique clusters of patients can be defined, suggesting that a unique dysphagia signature for HNCTD may be definable. Longitudinal studies relying on only a single PRO, such as MDADI, may be inadequate for classifying HNCTD.
Subject(s)
Deglutition Disorders/diagnosis , Deglutition Disorders/etiology , Head and Neck Neoplasms/radiotherapy , Patient Reported Outcome Measures , Precision Medicine/methods , Surveys and Questionnaires , Cluster Analysis , Cross-Sectional Studies , Deglutition Disorders/physiopathology , Female , Humans , Machine Learning , Male , Middle Aged , Reproducibility of ResultsABSTRACT
Radiation is a component of treatment for many pelvic malignancies, most often originating in the gynecologic, gastrointestinal, and genitourinary systems. Therefore, the management of acute and long-term side effects is an important part of practice as a radiation oncologist, and limiting morbidity is a primary goal. Toxicities vary and are dependent on treatment techniques. Advances in radiation delivery, imaging, and knowledge of underlying biologic determinants of radiation-induced normal tissue toxicity can guide treatment of acute and long-term side effects from pelvic radiation.
Subject(s)
Organs at Risk/radiation effects , Pelvic Neoplasms/radiotherapy , Pelvis/radiation effects , Radiation Injuries/etiology , Radiation Injuries/therapy , HumansABSTRACT
Radiation therapy is an essential component of treatment for many pediatric cancers, yet the cost of maintaining a radiation facility at a dedicated pediatric center is often prohibitive. As a result, adult facilities treat pediatric patients where preparation for a pediatric emergency may be inadequate. The purpose of this quality improvement project was to develop a multidisciplinary emergency preparedness plan for a collaborative pediatric radiation oncology program at an adult community hospital with its partnering academic children's hospital. Using a cyclical process involving multidisciplinary collaboration that combines policy development, preparation, and team-building, the authors created the protocols and processes that would support the stabilization of a pediatric emergency and facilitate transfer to the partnering children's hospital. Further development of a communication plan outlines the flow of patient information through the multidisciplinary team during these transitions of care. Areas for future work include quantitative outcome measures to determine the effectiveness of the policies and procedures developed to prepare staff for pediatric emergencies.
ABSTRACT
BACKGROUND: Individuals with cancer and risky alcohol and illicit substance use (AISU) are more likely to suffer diminished quality of life and subpar treatment outcomes. The prevalence of AISU in patients with cancer is poorly understood. OBJECTIVES: This article reports on the results of a needs assessment to quantify AISU in individuals with cancer seeking care in the radiation oncology department of a large, academic medical center. METHODS: Medical records were reviewed for all patients seen in the radiation oncology department in a one-week (five-day) period in the fall of 2014 (N = 397). Demographic and prevalence data were analyzed. FINDINGS: The prevalence rates of AISU in this sample were slightly lower than estimates for the general population and inconsistency was noted in the documentation of relevant information. Despite the limitations, data analyses suggested that a significant percentage of patients receiving radiation therapy for cancer diagnoses exhibited substance use patterns that placed them at increased risk for negative short- and long-term outcomes. The findings support the need for systematic substance use screening, assessment, and risk-based interventions as an essential component of comprehensive cancer care.