373 research outputs found
News clipping about new books by Dewey Chambers
https://scholarlycommons.pacific.edu/dewey-chambers/1004/thumbnail.jp
The role of nutrient management in mitigation
Policy briefing document for Copenhagen climate change negotiationsPublisher PD
Corporate responses to modern slavery risks: An institutional theory perspective
Purpose Drawing on statements made under the transparency in supply chains provision of the UK Modern Slavery Act, this paper aims to examine how firms are responding to modern slavery risks in their supply chains. Design/methodology/approach Using an institutional theory lens, a content analysis of modern slavery statements by financial times stock exchange (FTSE) firms is carried out. The analysis focusses on sources of modern slavery institutional pressure and changes that firms have made in their structures, policies and practices in response to modern slavery risks. Findings Three sources of institutional pressure are inferred from modern slavery statements: international human rights accords (coercive), multi-stakeholder initiatives (mimetic) and professional standards (normative). Changes made by firms in direct response to modern slavery include adopting new policies, strengthening contract terms, establishing working/steering groups and creating new key performance indicators. FTSE 100 firms have been more proactive than FTSE 250 firms in making these changes, as have firms in higher risk industries
Prepare to Dye!
I just haven\u27t a thing to wear! Modern Eve groans as she views the faded gowns of last season and sadly notes the thinness of her collegiate purse
The positive predictive value of stroke identification by ambulance clinicians in North East England: a retrospective cohort study
Introduction/background Accurate prehospital identification of patients who had an acute stroke enables rapid conveyance to specialist units for time-dependent treatments such as thrombolysis and thrombectomy. Misidentification leads to patients who had a ‘stroke mimic’ (SM) being inappropriately triaged to specialist units. We evaluated the positive predictive value (PPV) of prehospital stroke identification by ambulance clinicians in the North East of England. Methods This service evaluation linked routinely collected records from a UK regional ambulance service identifying adults with any clinical impression of suspected stroke to diagnostic data from four National Health Service hospital trusts between 1 June 2013 and 31 May 2016. The reference standard for a confirmed stroke diagnosis was inclusion in Sentinel Stroke National Audit Programme data or a hospital diagnosis of stroke or transient ischaemic attack in Hospital Episode Statistics. PPV was calculated as a measure of diagnostic accuracy. Results Ambulance clinicians in North East England identified 5645 patients who had a suspected stroke (mean age 73.2 years, 48% male). At least one Face Arm Speech Test (FAST) symptom was documented for 93% of patients who had a suspected stroke but a positive FAST was only documented for 51%. Stroke, or transient ischaemic attack, was the final diagnosis for 3483 (62%) patients. SM (false positives) accounted for 38% of suspected strokes identified by ambulance clinicians and included a wide range of non-stroke diagnoses including infections, seizures and migraine. Discussion In this large multisite data set, identification of patients who had a stroke by ambulance clinicians had a PPV rate of 62% (95% CI 61 to 63). Most patients who had a suspected stroke had at least one FAST symptom, but failure to document a complete test was common. Training for stroke identification and SM rates need to be considered when planning service provision and capacity. http://dx.doi.org/10.1136/emermed-2019-208902. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0
A survey of UK paramedics’ views about their stroke training, current practice and the identification of stroke mimics
Aims ‐ Paramedics play a crucial role in identifying patients with suspected stroke and transporting them to appropriate acute care. Between 25% and 50% of suspected stroke patients are later diagnosed with a condition other than stroke known as a ‘stroke mimic’. If stroke mimics could be identified in the pre-hospital setting, unnecessary admissions to stroke units could potentially be avoided. This survey describes UK paramedics’ stroke training and practice, their knowledge about stroke mimic conditions and their thoughts about pre-hospital identification of these patients.Methods ‐ An online survey invitation was circulated to members within the UK College of Paramedics and promoted through social media (8 September 2016 and 23 October 2016). Topics included: stroke training; assessment of patients with suspected stroke; local practice; and knowledge about and identification of stroke mimics.Results ‐ There were 271 responses. Blank responses (39) and non-paramedic (1) responses were removed, leaving 231 responses from paramedics which equates to 2% of College of Paramedics membership and 1% of Health and Care Professions Council registered paramedics. The majority of respondents (78%) thought that they would benefit from more training on pre-hospital stroke care. Narrative comments focused on a desire to improve the assessment of suspected stroke patients and increase respondents’ knowledge about atypical stroke presentations and current stroke research. The Face Arm Speech Test was used by 97% of respondents to assess suspected stroke patients, although other tools such as Recognition of Stroke in the Emergency Room (17%) and Miami Emergency Neurological Deficit (11%) were also used. According to those responding, 50% of stroke patients were taken to emergency departments, 35% went straight to a stroke ward and 8% were taken directly to CT scan. Most respondents (65%) were aware of the term ‘stroke mimic’. Two-thirds of respondents (65%) thought a tool that predicted the likelihood of a suspected stroke being a stroke mimic would be useful in pre-hospital care.Conclusion ‐ This study reports a survey of UK paramedics’ views about the stroke care they provide. Conclusions are limited by the low number of responses. Assessment of suspected stroke patients was recognised as an important skill by paramedics and an area where many would like further training. Respondents’ current practice varied in terms of the stroke assessment tools used and whether suspected stroke patients were taken to the emergency department or direct to a stroke ward. A stroke mimic identification tool would be useful if it allowed stroke mimic patients to be directed to appropriate care, but it would need to have a high level of specificity and not adversely impact on time to treatment for true stroke patients
The frequency, characteristics and aetiology of stroke mimic presentations::a narrative review
A significant proportion of patients with acute stroke symptoms have an alternative ‘mimic’ diagnosis. A narrative review was carried out to explore the frequency, characteristics and aetiology of stroke mimics. Prehospital and thrombolysis-treated patients were described separately. Overall, 9972 studies were identified from the initial search and 79 studies were included with a median stroke mimic rate of 19% (range: 1–64%). The prehospital median was 27% (range: 4–43%) and the thrombolysis median 10% (range: 1–25%). Seizures, migraines and psychiatric disorders are the most frequently reported causes of stroke mimics. Several characteristics are consistently associated with stroke mimics; however, they do not fully exclude the possibility of stroke. Nineteen per cent of suspected stroke patients had a mimic condition. Stroke mimics were more common with younger age and female sex. The range of mimic diagnoses, a lack of clear differentiating characteristics and the short treatment window for ischaemic stroke create challenges for early identification
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