The impact of the UK COVID-19 pandemic on patient-reported health outcomes after stroke: a retrospective sequential comparison

BACKGROUND AND PURPOSE: The COVID-19 pandemic and related social isolation measures are likely to have adverse consequences on community healthcare provision and outcome after acute illnesses treated in hospital, including stroke. We aimed to evaluate the impact of the COVID-19 pandemic on patient-reported health outcomes after hospital admission for acute stroke. METHODS: This retrospective study included adults with acute stroke admitted to the University College Hospital NHS Foundation Trust Hyperacute Stroke Unit. We included two separate cohorts of consecutively enrolled patients from the same geographical population at two time points: 16th March-16th May 2018 (pre-COVID-19 pandemic); and 16th March-16th May 2020 (during the COVID-19 pandemic). Patients in both cohorts completed the validated Patient Reported Outcomes Measurement Information System-29 (PROMIS-29 version 2.0) at 30 days after stroke. RESULTS: We included 205 patients who were alive at 30 days (106 admitted before and 99 admitted during the COVID-19 pandemic), of whom 201/205 (98%) provided patient-reported health outcomes. After adjustment for confounding factors, admission with acute stroke during the COVID-19 pandemic was independently associated with increased anxiety (β = 28.0, p < 0.001), fatigue (β = 9.3, p < 0.001), depression (β = 4.5, p = 0.002), sleep disturbance (β = 2.3, p = 0.018), pain interference (β = 10.8, p < 0.001); and reduced physical function (β = 5.2, p < 0.001) and participation in social roles and activities (β = 6.9, p < 0.001). CONCLUSION: Compared with the pre-pandemic cohort, patients admitted with acute stroke during the first wave of the COVID-19 pandemic reported poorer health outcomes at 30 day follow-up in all domains. Stroke service planning for any future pandemic should include measures to mitigate this major adverse impact on patient health

Process and impact evaluation of the Greater Christchurch Urban Development Strategy Health Impact Assessment

<p>Abstract</p> <p>Background</p> <p>despite health impact assessment (HIA) being increasingly widely used internationally, fundamental questions about its impact on decision-making, implementation and practices remain. In 2005 a collaboration between public health and local government authorities performed an HIA on the Christchurch Urban Development Strategy Options paper in New Zealand. The findings of this were incorporated into the Greater Christchurch Urban Development Strategy;</p> <p>Methods</p> <p>using multiple qualitative methodologies including key informant interviews, focus groups and questionnaires, this study performs process and impact evaluations of the Christchurch HIA including evaluation of costs and resource use;</p> <p>Results</p> <p>the evaluation found that the HIA had demonstrable direct impacts on planning and implementation of the final Urban Development Strategy as well as indirect impacts on understandings and ways of working within and between organisations. It also points out future directions and ways of working in this successful collaboration between public health and local government authorities. It summarises the modest resource use and discusses the important role HIA can play in urban planning with intersectoral collaboration and enhanced relationships as both catalysts and outcomes of the HIA process;</p> <p>Conclusion</p> <p>as one of the few evaluations of HIA that have been published to date, this paper makes a substantial contribution to the literature on the impact, utility and effectiveness of HIA.</p

Signals in the Soil: An Introduction to Wireless Underground Communications

In this chapter, wireless underground (UG) communications are introduced. A detailed overview of WUC is given. A comprehensive review of research challenges in WUC is presented. The evolution of underground wireless is also discussed. Moreover, different component of UG communications is wireless. The WUC system architecture is explained with a detailed discussion of the anatomy of an underground mote. The examples of UG wireless communication systems are explored. Furthermore, the differences of UG wireless and over-the-air wireless are debated. Different types of wireless underground channel (e.g., In-Soil, Soil-to-Air, and Air-to-Soil) are reported as well

Alternatives to polysomnography (PSG): A validation of wrist actigraphy and a partial-PSG system

The objective of this study was to assess the validity of a sleep/wake activity monitor, an energy expenditure activity monitor, and a partial-polysomnography system at measuring sleep and wake under identical conditions. Secondary aims were to evaluate the sleep/wake thresholds for each activity monitor and to compare the three devices. To achieve these aims, two nights of sleep were recorded simultaneously with polysomnography (PSG), two activity monitors, and a partial-PSG system in a sleep laboratory. Agreement with PSG was evaluated epoch by epoch and with summary measures including total sleep time (TST) and wake after sleep onset (WASO). All of the devices had high agreement rates for identifying sleep and wake, but the partial-PSG system was the best, with an agreement of 91.6 % +/- 5.1 %. Attheir best thresholds, the sleep/wake monitor (medium threshold, 87.7 % +/- 7.6 %) and the energy expenditure monitor (very low threshold, 86.8 % +/- 8.6 %) had similarly high rates of agreement. The summary measures were similar to those determined by PSG, but thepartial-PSG system provided the most consistent estimates. Although the partial-PSG system was the most accurate device, both activity monitors were also valid for sleep estimation, provided that appropriate thresholds were selected. Each device has advantages, so the primary consideration for researchers will be to determine which best suits a given research design