Investigating first‐year graduate paramedics’ reason for current work location: A cross‐sectional, data linkage study

Author(s):  
Nicola Ivec ◽  
Alison Beauchamp ◽  
Keith Sutton ◽  
Eleanor Mitchell ◽  
Peter O’Meara ◽  
...  
2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Catherine Chittleborough ◽  
Thomas Brown ◽  
Helena Schuch ◽  
Anna Kalamkarian ◽  
Rhiannon Pilkington ◽  
...  

Abstract Background Experiencing socioeconomic disadvantage, poor health, or child maltreatment in early life has negative effects on child development. However, we know little about children who have good developmental outcomes despite experiencing adversity. Methods This study used de-identified, linked government administrative data from the South Australian Early Childhood Data Project: specifically Australian Early Development Census (AEDC) data for all South Australian born children in their first year of school in 2009, 2012 and 2015 (n = 47,179) and their corresponding birth, perinatal, school enrolment, hospital admission, emergency department presentation, public housing and child protection data. Latent class analyses constructed multidimensional measures of socioeconomic, health, and maltreatment adversities experienced from birth to age 5. Results Overall, 49.8% (95% CI 49.2-50.4) of children were on track on all five AEDC domains, but this ranged from 53.7% among children who did not experience high levels of adversity to 13.5% among children with high levels of all three adversities. Conclusions Among children who experienced high levels of two or three early adversity types, approximately 1 in 5 were developmentally on track. Understanding characteristics of these children who thrive, against the odds, will help identify intervention opportunities to improve child development. Key messages Compared with children who did not experience high levels of adversity, each additional adversity reduced the likelihood of being developmentally on track by approximately 10% to 15%. Children experiencing socioeconomic or maltreatment adversity were less likely to be developmentally on track than children experiencing health adversity.


2020 ◽  
Vol 37 (10) ◽  
pp. 605-610
Author(s):  
Thomas Hughes-Gooding ◽  
Jon M Dickson ◽  
Colin O'Keeffe ◽  
Suzanne M Mason

IntroductionThe urgent and emergency care (UEC) system is struggling with increased demand, some of which is clinically unnecessary. Patients suffering suspected seizures commonly present to EDs, but most seizures are self-limiting and have low risk of short-term adverse outcomes. We aimed to investigate the flow of suspected seizure patients through the UEC system using data linkage to facilitate the development of new models of care.MethodsWe used a two-stage process of deterministic linking to perform a cross-sectional analysis of data from adults in a large region in England (population 5.4 million) during 2014. The core dataset comprised a total of 739 436 ambulance emergency incidents, 1 033 778 ED attendances and 362 358 admissions.ResultsA high proportion of cases were successfully linked (86.9% ED-inpatient, 77.7% ED-ambulance). Suspected seizures represented 2.8% of all ambulance service incidents. 61.7% of these incidents led to dispatch of a rapid-response ambulance (8 min) and 72.1% were conveyed to hospital. 37 patients died before being conveyed to hospital and 24 died in the ED (total 61; 0.3%). The inpatient death rate was 0.4%. Suspected seizures represented 0.71% of ED attendances, 89.8% of these arrived by emergency ambulance, 45.4% were admitted and 44.5% of these admissions lasted under 48 hours.ConclusionsThis study confirms previously published data from smaller unlinked datasets, validating the linkage method, and provides new data for suspected seizures. There are significant barriers to realising the full potential of data linkage. Collaborative action is needed to create facilitative governance frameworks and improve data quality and analytical capacity.


The Lancet ◽  
2021 ◽  
Vol 398 ◽  
pp. S47
Author(s):  
Joanne Garrett ◽  
Benedict Wheeler ◽  
Ashley Akbari ◽  
Richard Fry ◽  
Rebecca Geary ◽  
...  

2021 ◽  
pp. 1-9
Author(s):  
Vanessa Botan ◽  
Despina Laparidou ◽  
Viet-Hai Phung ◽  
Peter Cheung ◽  
Adrian Freeman ◽  
...  

2020 ◽  
Vol 63 ◽  
pp. 102355
Author(s):  
Amy Mizen ◽  
Jane Lyons ◽  
Ai Milojevic ◽  
Ruth Doherty ◽  
Paul Wilkinson ◽  
...  

BMJ Open ◽  
2013 ◽  
Vol 3 (1) ◽  
pp. e002482 ◽  
Author(s):  
Karen Villanueva ◽  
Gavin Pereira ◽  
Matthew Knuiman ◽  
Fiona Bull ◽  
Lisa Wood ◽  
...  

2019 ◽  
Vol 55 (10) ◽  
pp. 1201-1208
Author(s):  
Deborah A Randall ◽  
Jennifer R Bowen ◽  
Jillian A Patterson ◽  
David O Irving ◽  
Rena Hirani ◽  
...  

2019 ◽  
Vol 12 (3) ◽  
pp. 16-26
Author(s):  
Victor V. Kharitonov

Three first-year ice ridges have been examined with respect to geometry and morphology in landfast ice of Shokal'skogo Strait (Severnaya Zemlya Archipelago) in May 2018. Two of the studied ice ridges were located on the edge of the ridged field and were part of it, because their keels extended for a long distance deep into this field. Ice ridges characteristics are discussed in the paper. These studies were conducted using hot water thermal drilling with computer recording of the penetration rate. Boreholes were drilled along the cross-section of the ridge crest at 0.25 m intervals. Cross-sectional profiles of ice ridges are illustrated. The maximal sail height varied from 2.9 up to 3.2 m, the maximal keel depth varied from 8.5 up to 9.6 m. The average keel depth to sail height ratio varied from 2.8 to 3.3, and the thickness of the consolidated layer was 2.5-3.5 m. The porosity of the non-consolidated part of the keel was about 23-27%. The distributions of porosity versus depth for all ice ridges are presented.


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