The feasibility of the PAM intervention to support treatment-adherence in people with hypertension in primary care: a randomised clinical controlled trial.

The PAM intervention is a behavioural intervention to support adherence to anti-hypertensive medications and therefore to lower blood pressure. This feasibility trial recruited 101 nonadherent patients (54% male, mean age 65.8 years) with hypertension and high blood pressure from nine general practices in the UK. The trial had 15.5% uptake and 7.9% attrition rate. Patients were randomly allocated to two groups: the intervention group (n = 61) received the PAM intervention as an adjunct to usual care; the control group (n = 40) received usual care only. At 3 months, biochemically validated medication adherence was improved by 20% (95% CI 3-36%) in the intervention than control, and systolic blood pressure was reduced by 9.16 mmHg (95% CI 5.69-12.64) in intervention than control. Improvements in medication adherence and reductions in blood pressure suggested potential intervention effectiveness. For a subsample of patients, improvements in medication adherence and reductions in full lipid profile (cholesterol 1.39 mmol/mol 95% CI 0.64-1.40) and in glycated haemoglobin (3.08 mmol/mol, 95% CI 0.42-5.73) favoured the intervention. A larger trial will obtain rigorous evidence about the potential clinical effectiveness and cost-effectiveness of the intervention.Trial registration Trial date of first registration 28/01/2019. ISRCTN74504989. https://doi.org/10.1186/ISRCTN74504989

The feasibility of population screening for paroxysmal atrial fibrillation using hand-held electrocardiogram devices

Background and Aims There are few data on the feasibility of population screening for paroxysmal AF using hand-held ECG devices outside a specialist setting or in people over the age of 75. We investigated the feasibility of screening when conducted without face-to-face contact (‘remote’) or via in-person appointments in primary care, and explored impact of age on screening outcomes. Methods People aged ≥65 years from 13 general practices in England participated in screening during 2019-20. This involved attending a practice nurse appointment (10 practices) or receiving an ECG device by post (3 practices). Participants were asked to use a handheld ECG for 1-4 weeks. Screening outcomes included: uptake, quality of ECGs, AF detection rates, and uptake of anticoagulation if AF was detected. Results Screening was carried out by 2,141 (87.5%) of people invited to practice nurse-led screening and by 288 (90.0%) invited to remote screening. At least 56 interpretable ECGs were provided by 98.0% of participants who participated for 3 weeks, with no significant differences by setting or age, except people aged 85 or over (91.1%). Overall, 2.6% (64/2,429) screened participants had AF, with detection rising with age (9.2% in people aged 85 or over). 53/64 (82.8%) people with AF commenced anticoagulation. Uptake of anticoagulation did not vary by age. Conclusion Population screening for paroxysmal AF is feasible in general practice and without face-to-face contact, and in all ages over 64 years, including in people aged 85 and over

Cancer-Related Fatigue in Adolescents and Young Adults After Cancer Treatment: Persistent and Poorly Managed.

Cancer-related fatigue is the most prevalent and distressing symptom experienced by adolescents and young adults (AYAs). An electronic survey was undertaken to ascertain current fatigue management and perceptions of its effectiveness. Eighty-five percent of responders (68/80) experienced fatigue, and it was worse more than 1 year after cancer treatment ended, compared to <1 year (p = 0.007). Forty-one percent received no fatigue management. Although advice to exercise was the most frequent intervention, the greatest impact of fatigue was on the ability to exercise and most did not find exercise advice helpful. Early intervention is warranted, supporting AYAs to persevere with increasing activity

Unravelling legacy: a triadic actor-network theory approach to understanding the outcomes of mega events

Mega events have recently attracted the attention of social scientists due to their important role for festival capitalism, urban regeneration and political propaganda. Their planning stage often produces elaborate strategies for maximising the benefits before, during and after the actual event, which has given rise to interdisciplinary studies of event legacy and leveraging. This paper aims to advance ongoing debates on the outcomes of sports mega events by bringing together the literatures on mega event legacy, leveraging and actor-network theory. Drawing on a case study on the usage of the Queen Elizabeth Olympic Park, the main legacy of the London 2012 Olympic Games, the paper develops a novel conceptual framework for researching the multi-scalar outcomes of mega events and locating respective studies within the resulting wider research agenda. The proposed concept extends Preuss’ (2007) legacy cube in two ways by visualising its five research dimensions in the legacy rings and using three rather than two sub-dimensions per ring, thereby replacing the restrictive dyads of dualistic thinking through more comprehensive but still manageable triads of triadic thought (Jöns, 2006)

Cancer-Related Fatigue in Adolescents and Young Adults After Cancer Treatment: Persistent and Poorly Managed

Cancer-related fatigue is the most prevalent and distressing symptom experienced by adolescents and young adults (AYAs). An electronic survey was undertaken to ascertain current fatigue management and perceptions of its effectiveness. Eighty-five percent of responders (68/80) experienced fatigue, and it was worse more than 1 year after cancer treatment ended, compared to <1 year (p = 0.007). Forty-one percent received no fatigue management. Although advice to exercise was the most frequent intervention, the greatest impact of fatigue was on the ability to exercise and most did not find exercise advice helpful. Early intervention is warranted, supporting AYAs to persevere with increasing activity.This research was funded by Macmillan Cancer Support (grant No. 5592228)

Tracking the impacts of climate change on human health via indicators: lessons from the Lancet Countdown

Background: In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the “Lancet Countdown: Tracking Progress on Health and Climate Change”, an international collaboration across disciplines that include climate, geography, epidemiology, occupation health, and economics. / Discussion: This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change’s impacts on human health. In our experience, the main challenge was to define globally relevant indicators that also have local relevance and as such can support decision making across multiple spatial scales. We found a hazard, exposure, and vulnerability framework to be effective in this regard. We here describe how we used such a framework to define CCIEVIs based on both data availability and the indicators’ relevance to climate change and human health. We also report on how CCIEVIs have been improved and added to, detailing the underlying data and methods, and in doing so provide the defining quality criteria for Lancet Countdown CCIEVIs. / Conclusions: Our experience shows that CCIEVIs can effectively contribute to a world-wide monitoring system that aims to track, communicate, and harness evidence on climate-induced health impacts towards effective intervention strategies. An ongoing challenge is how to improve CCIEVIs so that the description of the linkages between climate change and human health can become more and more comprehensive

Tracking the impacts of climate change on human health via indicators: lessons from the Lancet Countdown

Background: In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical distribution of infectious diseases across the globe. Climate change and health indicators (CCHIs) are workable tools designed to capture the complex set of interdependent interactions through which climate change is affecting human health. Since 2015, a novel sub-set of CCHIs, focusing on climate change impacts, exposures, and vulnerability indicators (CCIEVIs) has been developed, refined, and integrated by Working Group 1 of the “Lancet Countdown: Tracking Progress on Health and Climate Change”, an international collaboration across disciplines that include climate, geography, epidemiology, occupation health, and economics. Discussion: This research in practice article is a reflective narrative documenting how we have developed CCIEVIs as a discrete set of quantifiable indicators that are updated annually to provide the most recent picture of climate change’s impacts on human health. In our experience, the main challenge was to define globally relevant indicators that also have local relevance and as such can support decision making across multiple spatial scales. We found a hazard, exposure, and vulnerability framework to be effective in this regard. We here describe how we used such a framework to define CCIEVIs based on both data availability and the indicators’ relevance to climate change and human health. We also report on how CCIEVIs have been improved and added to, detailing the underlying data and methods, and in doing so provide the defining quality criteria for Lancet Countdown CCIEVIs. Conclusions: Our experience shows that CCIEVIs can effectively contribute to a world-wide monitoring system that aims to track, communicate, and harness evidence on climate-induced health impacts towards effective intervention strategies. An ongoing challenge is how to improve CCIEVIs so that the description of the linkages between climate change and human health can become more and more comprehensive

Using geographically weighted regression to explore neighborhood-level predictors of domestic abuse in the UK

Reducing domestic abuse has become a priority for both local and national governments in the UK, with its substantial human, social, and economic costs. It is an interdisciplinary issue, but to date there has been no research in the UK that has focused on neighborhood-level predictors of domestic abuse and their variation across space. This article uses geographically weighted regression to model the predictors of police-reported domestic abuse in Essex. Readily available structural and cultural variables were found to predict the domestic abuse rate and the repeat victimization rate at the lower super output area level and the model coefficients were all found to be non-stationary, indicating varying relationships across space. This research not only has important implications for victims' well being, but also enables policy makers to gain a better understanding of the geography of victimization, allowing targeted policy interventions and efficiently allocated resources

Empathy among undergraduate medical students: A multi-centre cross-sectional comparison of students beginning and approaching the end of their course

BACKGROUND: Although a core element in patient care the trajectory of empathy during undergraduate medical education remains unclear. Empathy is generally regarded as comprising an affective capacity: the ability to be sensitive to and concerned for, another and a cognitive capacity: the ability to understand and appreciate the other person's perspective. The authors investigated whether final year undergraduate students recorded lower levels of empathy than their first year counterparts, and whether male and female students differed in this respect. METHODS: Between September 2013 and June 2014 an online questionnaire survey was administered to 15 UK, and 2 international medical schools. Participating schools provided both 5-6 year standard courses and 4 year accelerated graduate entry courses. The survey incorporated the Jefferson Scale of Empathy-Student Version (JSE-S) and Davis's Interpersonal Reactivity Index (IRI), both widely used to measure medical student empathy. Participation was voluntary. Chi squared tests were used to test for differences in biographical characteristics of student groups. Multiple linear regression analyses, in which predictor variables were year of course (first/final); sex; type of course and broad socio-economic group were used to compare empathy scores. RESULTS: Five medical schools (4 in the UK, 1 in New Zealand) achieved average response rates of 55 % (n = 652) among students starting their course and 48 % (n = 487) among final year students. These schools formed the High Response Rate Group. The remaining 12 medical schools recorded lower response rates of 24.0 % and 15.2 % among first and final year students respectively. These schools formed the Lower Response Rate Group. For both male and female students in both groups of schools no significant differences in any empathy scores were found between students starting and approaching the end of their course. Gender was found to significantly predict empathy scores, with females scoring higher than males. CONCLUSIONS: Participant male and female medical students approaching the end of their undergraduate education, did not record lower levels of empathy, compared to those at the beginning of their course. Questions remain concerning the trajectory of empathy after qualification and how best to support it through the pressures of starting out in medical practice