The construction of a postgraduate student and supervisor support framework: Using stakeholder voices to promote effective postgraduate teaching and learning practice

This article outlines the design and development of a bespoke Research Training Support Framework, targeting the professional development needs of higher degree research (HDR) supervisors and their students, which was achieved by implementing Patton\u27s (2011; 2012) utilisation-focused evaluation methodology (UFE). The primary research question was: What are the most suitable structures, components and content of an institutional framework to support Higher Degree Research (HDR) supervisors and their students at Avondale College of Higher Education? A mixed method design was used to gather data from students, academic staff and administrative staff using questionnaires, focus groups and interviews. Analyses of these data informed the Framework’s development along with previous research and advice from an advisory panel which comprised of national and international experts. Accordingly, the Framework was constructed around three core principles that served to guide the development of the Framework’s activities, processes and resources: 1) Welcoming research community, 2) The pedagogy of supervision and 3) Research development. The current version of the Framework has been designed to support postgraduate supervisors and students through the three key stages of students\u27 most academically-focused stages of their postgraduate journeys namely; Getting started, Confirmation and Research and writing. The research-informed approach used to develop this contextually-relevant resource is particularly relevant to small higher education institutions, especially those wishing to focus on capacity development. Further research is currently being conducted to evaluate how the Framework is being used

HER2-enriched subtype and novel molecular subgroups drive aromatase inhibitor resistance and an increased risk of relapse in early ER+/HER2+ breast cancer

BACKGROUND: Oestrogen receptor positive/ human epidermal growth factor receptor positive (ER+/HER2+) breast cancers (BCs) are less responsive to endocrine therapy than ER+/HER2- tumours. Mechanisms underpinning the differential behaviour of ER+HER2+ tumours are poorly characterised. Our aim was to identify biomarkers of response to 2 weeks’ presurgical AI treatment in ER+/HER2+ BCs. METHODS: All available ER+/HER2+ BC baseline tumours (n=342) in the POETIC trial were gene expression profiled using BC360™ (NanoString) covering intrinsic subtypes and 46 key biological signatures. Early response to AI was assessed by changes in Ki67 expression and residual Ki67 at 2 weeks (Ki672wk). Time-To-Recurrence (TTR) was estimated using Kaplan-Meier methods and Cox models adjusted for standard clinicopathological variables. New molecular subgroups (MS) were identified using consensus clustering. FINDINGS: HER2-enriched (HER2-E) subtype BCs (44.7% of the total) showed poorer Ki67 response and higher Ki672wk (p<0.0001) than non-HER2-E BCs. High expression of ERBB2 expression, homologous recombination deficiency (HRD) and TP53 mutational score were associated with poor response and immune-related signatures with High Ki672wk. Five new MS that were associated with differential response to AI were identified. HER2-E had significantly poorer TTR compared to Luminal BCs (HR 2.55, 95% CI 1.14–5.69; p=0.0222). The new MS were independent predictors of TTR, adding significant value beyond intrinsic subtypes. INTERPRETATION: Our results show HER2-E as a standardised biomarker associated with poor response to AI and worse outcome in ER+/HER2+. HRD, TP53 mutational score and immune-tumour tolerance are predictive biomarkers for poor response to AI. Lastly, novel MS identify additional non-HER2-E tumours not responding to AI with an increased risk of relapse

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

Webinar - Social Data in Action: Social Data for Public Empowerment in the USA

In this webinar, Sarah Williams from MIT will offer insights from her 2020 book Data Action: Using Data for Public Good. Big data can be used for good—such as tracking disease—and for bad—implementing surveillance and control. Williams will provide a guide for working with data in more ethical and responsible ways and will also outline a method that emphasises collaboration among data scientists, policy experts, data designers, and the public

MSc CEP Curriculum Framework

The Academy of Healthcare Science (AHCS) approve education programmes to ensure that they allow students to meet Standards of Proficiency and principles of Good Clinical Practice when they satisfactorily complete the programme. Standards of Proficiency are the threshold standards necessary for safe and effective practice. This document presents a curriculum framework for Clinical Exercise Physiology (CEP) Masters (MSc) degree courses which complements and expands upon the AHCS Standards of Proficiency and the Clinical Exercise Physiologist (CEP) Scope of Practice. It is a requirement of MSc CEP degree accreditation that University programmes demonstrate that all Standards of Proficiency are addressed in the course curriculum, through learning and assessment activities. This curriculum framework and the Standards of Proficiency and Scope of Practice documents should be read in conjunction, as collectively they form the basis of the formal requirements for AHCS MSc CEP degree course accreditation. All MSc courses wishing to go through the accreditation process will need to email AHCS directly, with a request to undergo the accreditation process. A pre-visit checklist is then completed and supporting evidence is required for the AHCS to begin the accreditation process

Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems

Background: Estimates of the burden of disease in adults in sub-Saharan Africa largely rely on models of sparse data. We aimed to measure the burden of disease in adults living in a rural area of coastal Kenya with use of linked clinical and demographic surveillance data. Methods: We used data from 18 712 adults admitted to Kilifi District Hospital (Kilifi, Kenya) between Jan 1, 2007, and Dec 31, 2012, linked to 790 635 person-years of observation within the Kilifi Health and Demographic Surveillance System, to establish the rates and major causes of admission to hospital. These data were also used to model disease-specific disability-adjusted life-years lost in the population. We used geographical mapping software to calculate admission rates stratified by distance from the hospital. Findings: The main causes of admission to hospital in women living within 5 km of the hospital were infectious and parasitic diseases (303 per 100 000 person-years of observation), pregnancy-related disorders (239 per 100 000 person-years of observation), and circulatory illnesses (105 per 100 000 person-years of observation). Leading causes of hospital admission in men living within 5 km of the hospital were infectious and parasitic diseases (169 per 100 000 person-years of observation), injuries (135 per 100 000 person-years of observation), and digestive system disorders (112 per 100 000 person-years of observation). HIV-related diseases were the leading cause of disability-adjusted life-years lost (2050 per 100 000 person-years of observation), followed by non-communicable diseases (741 per 100 000 person-years of observation). For every 5 km increase in distance from the hospital, all-cause admission rates decreased by 11% (95% CI 7–14) in men and 20% (17–23) in women. The magnitude of this decline was highest for endocrine disorders in women (35%; 95% CI 22–46) and neoplasms in men (30%; 9–45). Interpretation: Adults in rural Kenya face a combined burden of infectious diseases, pregnancy-related disorders, cardiovascular illnesses, and injuries. Disease burden estimates based on hospital data are affected by distance from the hospital, and the amount of underestimation of disease burden differs by both disease and sex. Funding: The Wellcome Trust, GAVI Alliance