Financial Risk Management in Commonwealth Organisations

In the last decade financial risk management in public sector organisations has become of greater interest to the public, politicians and regulators. Derivatives are commonly used to manage financial risk but little is known about the reasons why financial risk is managed, particularly through the use of derivatives. Furthermore, little is known about the reasons for and extent of derivative use in public sector organisations. To the authors knowledge this paper represents one of the first studies into the use of derivatives in Australian Commonwealth public sector organisations. A sample of Commonwealth organisations is surveyed on attitudes towards the use of derivatives for hedging. A variety of tests including ANOVA and t-tests are used to analyse the results. The two most important issues in the use of derivatives for hedging in the Commonwealth public sector include budgeting and reducing risks faced by management. Reducing the risks faced by management is often cited as a reason for derivative use in the private sector. It is unclear if budgeting is linked to this. Respondents from Commonwealth organisations rank other private sector reasons for derivative use, such as reducing bankruptcy and taxation relatively unimportant. Results also indicate that there are significant differences in the level of importance in some issues regarding derivative use across different organisations, particularly those with and without a documented risk management plan

The use of derivatives in a public sector setting

Existing private sector models of derivative use do not readily translate into the public sector that faces the joint objectives of value maximisation and provision of a privately unprofitable mission good. This paper develops and tests a model explaining public sector derivative use in terms of budget discrepancy minimisation. Hypotheses are developed and tested using logistic regression over a sample of Australian Commonwealth Government entities. It is found that public sector derivative use is positively correlated with liabilities and size of the organisation. This is consistent with management of budget discrepancies

Stroke Induces Prolonged Changes in Lipid Metabolism, the Liver and Body Composition in Mice

Acknowledgements We would like to thank the Biological Services Facility at the University of Manchester for expert animal husbandry and Karen Davies who helped with the MRI. The Histology Facility equipment that was used in this study was purchased by the University of Manchester Strategic Fund. Special thanks goes to Peter Walker for their help with the histology. Funding information This work was supported by the Kohn Foundation, an Edward Bonham Carter Doctoral Scholarship, an EPSRC/MRC Centre for Doctoral Training in Regenerative Medicine studentship grant (EP/L014904/1), and the Medical Research Council (MR/K501311/1).Peer reviewedPublisher PD

Characteristics of patients in platform C19, a COVID-19 research database combining primary care electronic health record and patient reported information

Background Data to better understand and manage the COVID-19 pandemic is urgently needed. However, there are gaps in information stored within even the best routinely-collected electronic health records (EHR) including test results, remote consultations for suspected COVID-19, shielding, physical activity, mental health, and undiagnosed or untested COVID-19 patients. Observational and Pragmatic Research Institute (OPRI) Singapore and Optimum Patient Care (OPC) UK established Platform C19, a research database combining EHR data and bespoke patient questionnaire. We describe the demographics, clinical characteristics, patient behavior, and impact of the COVID-19 pandemic using data within Platform C19. Methods EHR data from Platform C19 were extracted from 14 practices across UK participating in the OPC COVID-19 Quality Improvement program on a continuous, monthly basis. Starting 7th August 2020, consenting patients aged 18–85 years were invited in waves to fill an online questionnaire. Descriptive statistics were summarized using all data available up to 22nd January 2021. Findings From 129,978 invitees, 31,033 responded. Respondents were predominantly female (59.6%), white (93.5%), and current or ex-smokers (52.6%). Testing for COVID-19 was received by 23.8% of respondents, of which 7.9% received positive results. COVID-19 symptoms lasted ≥4 weeks in 19.5% of COVID-19 positive respondents. Up to 39% respondents reported a negative impact on questions regarding their mental health. Most (67%-76%) respondents with asthma, Chronic Obstructive Pulmonary Disease (COPD), diabetes, heart, or kidney disease reported no change in the condition of their diseases. Interpretation Platform C19 will enable research on key questions relating to COVID-19 pandemic not possible using EHR data alone

An evidence-based framework on community-centred approaches for health: England, UK

Community participation is a central concept for health promotion, covering a breadth of approaches, purposes and activities. This paper reports on a national knowledge translation project in England, UK, which resulted in a conceptual framework and typology of community-based approaches, published as national guidance. A key objective was to develop a conceptual framework linked to sources of evidence that could be used to support increased uptake of participatory methods across the health system. It was recognised that legitimacy of community participation was being undermined by a scattered evidence base, absence of a common terminology and low visibility of community practice. A scoping review, combined with stakeholder consultation, was undertaken and 168 review and conceptual publications were identified and a map produced. A ‘family of community-centred approaches for health and wellbeing’ was then produced as way of organising the evidence and visually representing the range of intervention types. There are four main groups, with sub-categories: (i) Strengthening communities (ii) Volunteer and peer roles (iii) Collaborations and partnerships and (iv) Access to community resources. Each group is differentiated using key concepts and theoretical justifications around increasing equity, control and social connectedness. An open access bibliography is available to accompany the framework. The paper discusses the application of the family of community-centred approaches as a flexible planning tool for health promotion practice and its potential to be used as a framework for organising and synthesising evidence from a range of participatory methods

Obesity dysregulates the pulmonary antiviral immune response

Obesity is a well-recognized risk factor for severe influenza infections but the mechanisms underlying susceptibility are poorly understood. Here, we identify that obese individuals have deficient pulmonary antiviral immune responses in bronchoalveolar lavage cells but not in bronchial epithelial cells or peripheral blood dendritic cells. We show that the obese human airway metabolome is perturbed with associated increases in the airway concentrations of the adipokine leptin which correlated negatively with the magnitude of ex vivo antiviral responses. Exogenous pulmonary leptin administration in mice directly impaired antiviral type I interferon responses in vivo and ex vivo in cultured airway macrophages. Obese individuals hospitalised with influenza showed dysregulated upper airway immune responses. These studies provide insight into mechanisms driving propensity to severe influenza infections in obesity and raise the potential for development of leptin manipulation or interferon administration as novel strategies for conferring protection from severe infections in obese higher risk individuals

Obesity dysregulates the pulmonary antiviral immune response

Obesity is a well-recognized risk factor for severe influenza infections but the mechanisms underlying susceptibility are poorly understood. Here, we identify that obese individuals have deficient pulmonary antiviral immune responses in bronchoalveolar lavage cells but not in bronchial epithelial cells or peripheral blood dendritic cells. We show that the obese human airway metabolome is perturbed with associated increases in the airway concentrations of the adipokine leptin which correlated negatively with the magnitude of ex vivo antiviral responses. Exogenous pulmonary leptin administration in mice directly impaired antiviral type I interferon responses in vivo and ex vivo in cultured airway macrophages. Obese individuals hospitalised with influenza showed dysregulated upper airway immune responses. These studies provide insight into mechanisms driving propensity to severe influenza infections in obesity and raise the potential for development of leptin manipulation or interferon administration as novel strategies for conferring protection from severe infections in obese higher risk individuals

Risk Predictors and Symptom Features of Long COVID Within a Broad Primary Care Patient Population Including Both Tested and Untested Patients

Introduction: Symptoms may persist after the initial phases of COVID-19 infection, a phenomenon termed long COVID. Current knowledge on long COVID has been mostly derived from test-confirmed and hospitalized COVID-19 patients. Data are required on the burden and predictors of long COVID in a broader patient group, which includes both tested and untested COVID-19 patients in primary care. Methods: This is an observational study using data from Platform C19, a quality improvement program-derived research database linking primary care electronic health record data (EHR) with patient-reported questionnaire information. Participating general practices invited consenting patients aged 18– 85 to complete an online questionnaire since 7th August 2020. COVID-19 self-diagnosis, clinician-diagnosis, testing, and the presence and duration of symptoms were assessed via the questionnaire. Patients were considered present with long COVID if they reported symptoms lasting ≥ 4 weeks. EHR and questionnaire data up till 22nd January 2021 were extracted for analysis. Multivariable regression analyses were conducted comparing demographics, clinical characteristics, and presence of symptoms between patients with long COVID and patients with shorter symptom duration. Results: Long COVID was present in 310/3151 (9.8%) patients with self-diagnosed, clinician-diagnosed, or test-confirmed COVID-19. Only 106/310 (34.2%) long COVID patients had test-confirmed COVID-19. Risk predictors of long COVID were age ≥ 40 years (adjusted Odds Ratio [AdjOR]=1.49 [1.05– 2.17]), female sex (adjOR=1.37 [1.02– 1.85]), frailty (adjOR=2.39 [1.29– 4.27]), visit to A&E (adjOR=4.28 [2.31– 7.78]), and hospital admission for COVID-19 symptoms (adjOR=3.22 [1.77– 5.79]). Aches and pain (adjOR=1.70 [1.21– 2.39]), appetite loss (adjOR=3.15 [1.78– 5.92]), confusion and disorientation (adjOR=2.17 [1.57– 2.99]), diarrhea (adjOR=1.4 [1.03– 1.89]), and persistent dry cough (adjOR=2.77 [1.94– 3.98]) were symptom features statistically more common in long COVID. Conclusion: This study reports the factors and symptom features predicting long COVID in a broad primary care population, including both test-confirmed and the previously missed group of COVID-19 patients