ABSTRACT
The aim of the study reported on here was to examine workplace bullying among teachers in South African schools. The research was framed by the Job Demands-Resources Model which was utilised to determine the extent of demands and resources that teachers experience and the implications thereof for creating an environment that fosters bullying and the effect of such bullying on teachers and schools. A qualitative interpretative research design was utilised. Data were collected by means of semi-structured interviews with 13 teachers. Thematic Content Analysis (TCA) was used to interpret the data. The findings reveal that teachers work in an environment characterised by excessive demands with ever increasing workloads and a lack of supportive resources. This environment fosters stress, anger, frustration and aggression, and increases perpetration of bullying acts, as teachers turn upon one another. The findings in this study indicate that in the aftermath of bullying, feelings of incompetence, emotional exhaustion, depression and anxiety manifest. Furthermore, teachers reported engaging in withdrawal behaviour and expressing an increased desire to leave the profession. The results of this study have serious implications for teachers’ well-being and their willingness to remain within the profession. In order to protect the well-being of teachers and the overall integrity of schools there is an urgent need to increase resources and interventions to create a more conducive and healthy work environment. The need for resource provision and a re-examination of demands becomes even more evident during the era of the coronavirus disease (COVID-19). © 2022, South African Journal Of Education. All rights reserved.
ABSTRACT
BACKGROUND: The neurologic assessment in neuro-oncology (NANO) scale was developed as a standardized metric to objectively measure neurologic function in patients with brain tumors and complement radiographic assessment in defining overall outcome. The scale has been incorporated in clinical trials. Early data is suggestive of feasibility and that NANO contributes to overall outcome assessment. However, real-world use of the NANO scale to drive clinical-decision making and the predictive value of the NANO scale to determine overall survival remains unclear in IDH-wt GBM. METHODS: We report on an ongoing study using the NANO scale to evaluate neurologic function in patients with IDH-wt GBM, seen at Dana-Farber Cancer Institute (DFCI). Patient demographics, tumor histology and molecular status, treatment history and progression dates are being captured. NANO score, as collected by a built-in scale in our institutional electronic medical record (EMR), functional status (Karnofsky performance status) and corticosteroid dose are collected at prespecified time points (prior to start of therapy, and during each subsequent MRI visit). Changes in the NANO score will be correlated to overall survival. Statistical analyses including descriptive data analysis and generalized linear models will be performed using R (version 3.4.3). RESULTS: Since June 2020, 50 patients have been enrolled in this study, including 42 (84%) with ≥2 follow up visits. Study accrual was initially impacted by the COVID-19 pandemic, but adaptation to a virtual platform for NANO allowed for improved recruitment and follow up of patients. Study results will be available for discussion at the 2021 SNO conference. CONCLUSIONS: Evaluation of neurologic function by NANO is feasible in a virtual framework in a prospective study in patients with GBM, aided by integration of the scale in our institutional EMR. NANO is able to objectively track neurologic function throughout disease course in IDH-wt GBM.
ABSTRACT
Background: Patients (pts) with malignancies are at increased risk of morbidity and mortality from COVID-19. Among these pts, some of the higher case fatality ratios (CFR) reported are among pts with myeloid malignancies, ranging from 37 to 50% (Mehta V, Cancer Discov 2020;Ferrara F, Leukemia 2020). Levine Cancer Institute (LCI) has a robust hematologic malignancy and cellular therapy program that serves many pts with myeloid malignancies, seeing nearly 100 new diagnoses of acute myeloid leukemia per year. A strategy to mitigate risks associated with COVID-19 was established at LCI in partnership with Atrium Health's (AH) Hospital at Home (HAH). HAH was a system wide platform using telemedicine and home health services to assess and monitor COVID-19 + pts at high risk of complications. To augment HAH for our medically complex cancer pts, a virtual health navigation process involving expertise from across LCI, including a specialized nurse navigation team, was developed to rapidly identify LCI pts + for SARS-CoV-2, monitor them under physician supervision, and escalate care as needed with AH HAH. Along with the navigation platform, data-driven guidelines for detecting, monitoring, and managing LCI pts + for SARS-CoV-2 were swiftly employed across the extensive LCI network. Herein we report on the outcomes for LCI pts with myeloid malignancies + for SARS-CoV-2 and outline the employed risk mitigation strategies and their potential impact on these outcomes. Methods: An automated daily list of LCI pts + for SARS-CoV-2 was provided by AH Information Services. Each pt's chart was reviewed by a nurse navigator for hematologic or oncologic diagnosis, outpatient or inpatient status, and COVID-19 symptoms. Pts without a cancer diagnosis were not assigned a navigator. If hospitalized, a pt was not assigned a navigator;following discharge, if enrolled in HAH, a navigator was assigned. In collaboration with HAH, an algorithm for directing care was utilized (Figure 1). A diagnosis-specific navigator contacted and screened the pt with an assessment tool, which scored pts for surveillance and treatment needs (Table 1). Documentation was forwarded to the primary hematologist/oncologist. Comprehensive guidelines for testing, scheduling, management of + pts, research, and process changes were created, disseminated, and actively updated through LCI's EAPathways. For outcome analysis for pts with myeloid malignancies, pt vital status was updated through data cutoff (7/3/21). Results: From inception on 3/20/20 to 12/2/20, 974 LCI patients were identified as SARS-CoV-2 + and reviewed for nurse navigation. Of the 974 pts, including pts with benign and malignant diagnoses, 488 were navigated. Among all SARS-CoV-2 + LCI pts, 145 (15%) had a hematologic malignancy, including 37 (4%) pts with myeloid malignancies. Characteristics are shown in Table 2. Of the 37 pts, 18 (49%) were navigated. 70% with myeloid malignancies were on active treatment at the time of + test. Nearly 50% of those on active treatment were navigated. 46% were hospitalized with COVID-19, with this being the main reason for no assigned navigator. 24% of hospitalized pts were eventually assigned a navigator. Only 3 pts had undergone allogeneic stem cell transplantation (allo-SCT) with a median time from transplant to detection of SARS-CoV-2 of 9 months (range, 7-23). 2 out of 3 cases post allo-SCT were asymptomatic. No pt died from COVID-19 following allo-SCT. Among the navigated pts with myeloid malignancies, there was no death related to COVID-19. 4 pts, all of whom were hospitalized, died from COVID-19 (N=2, myelodysplastic syndrome with 1 on azacitidine;N=2, myeloproliferative neoplasm, both on hydrea). A CFR of 11% was demonstrated for LCI pts with myeloid malignancies. Conclusions: A multidisciplinary response strategy liaising between AH HAH and LCI followed, assessed, and assisted cancer pts + for SARS-CoV-2. With our embedded nurse navigation team's specialized attention along with enhanced physician oversight and close collaboration with AH HAH, opportunities f r care escalation or adjustments in cancer-focused care were promptly identified. In this setting, among the high-risk population of pts with myeloid malignancies, a lower CFR than has been reported was observed. A virtual navigation platform with HAH capabilities is a feasible, safe, and effective way to monitor and care for this high-risk population. [Formula presented] Disclosures: Moyo: Seattle Genetics: Consultancy. Chai: Cardinal Health: Membership on an entity's Board of Directors or advisory committees. Avalos: JUNO: Membership on an entity's Board of Directors or advisory committees. Grunwald: Amgen: Consultancy;Agios: Consultancy;Astellas: Consultancy;Daiichi Sankyo: Consultancy;Stemline: Consultancy;Bristol Myers Squibb: Consultancy;PRIME: Other;Trovagene: Consultancy;Blueprint Medicines: Consultancy;AbbVie: Consultancy;Med Learning Group: Other;Pfizer: Consultancy;Sierra Oncology: Consultancy;Janssen: Research Funding;Incyte: Consultancy, Research Funding;Gilead: Consultancy;MDEdge: Other;PER: Other;Cardinal Health: Consultancy;Karius: Consultancy. Copelan: Amgen: Consultancy.
ABSTRACT
Background: Reports suggested cancer patients were at greater risk for increased morbidity and mortality from COVID-19. A process to mitigate these risks was established at Levine Cancer Institute (LCI) in partnership with Atrium Health's (AH) Hospital at Home (HAH) initiative. This virtual health navigation process employed expertise from the departments of Hematologic Oncology and Blood Disorders, Oncology, and Supportive Oncology, including a specialized nurse navigation team, to rapidly identify COVID-19 positive LCI patients, monitor them under physician supervision, and escalate care as needed with AH HAH program. Methods: AH Information Services created an automated list of LCI COVID-19 positive patients with a daily database. Each patient was reviewed by a nurse navigator. Review included hematologic or oncologic diagnosis, outpatient or inpatient status, and any COVID-19 symptoms. Once a malignant diagnosis was confirmed, a diagnosis-specific navigator contacted and screened the patient with a COVID assessment tool. Documentation was forwarded to the primary oncologist/hematologist. The tool scored patients for surveillance and treatment needs. A score of 0-2 prompted phone assessment every 48-72 hours, and score of 3-5 required every 24-48 hour calls with physician involvement when appropriate. If score of ≥6, care was escalated to LCI nurse/physician for admission to AH acute care HAH or conventional inpatient admission. Results: From inception on 3/20/2020 to data review date of 12/2/2020, 974 LCI patients were identified as COVID-19 positive and reviewed for nurse navigation (Table). Of the 974, 488 were navigated. Given limited resources, patients with benign conditions were not assigned a navigator, though a similar process was created for sickle cell disease. Of the 974, 75 are now deceased. Only 25 are deceased among the 488 navigated. Conclusions: The COVID-19 pandemic presented unprecedented circumstances to our patients and their clinicians. LCI expeditiously put policies and procedures in place to mitigate the intersection of COVID-19 and cancer. The multidisciplinary response strategy liaising between AH HAH and LCI followed, assessed, and assisted LCI COVID19 positive patients. With our embedded nurse navigation team's specialized attention along with enhanced physician oversight and close collaboration with AH HAH, opportunities for care escalation or adjustments in cancerfocused care were promptly identified. Analysis is ongoing to elucidate the lower mortality rate observed among navigated patients.